phd process history database

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• Uniformance R300
• User manual

Honeywell Uniformance R300 User Manual

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Table of Contents

1 about this document.

• Document Scope
• Intended Audience
• Additional References

2 Getting Started

• Supported OPC Standards
• PHD OPC Server Requirements
• Where to Install PHD OPC Server Software
• To Enable/Disable Tag Browsing
• Cached Browsing
• To Enable AFM Tag Routing and Put Download

3 Configuring the PHD OPC Server

• To Configure DCOM Settings for the Machine Default
• To Configure Properties of the PHD OPC Server COM Components

4 Overview of Uniformance PHD

• Uniformance PHD Components
• PHD Server Functionality
• Multiple PHD Server Systems
• PHD OPC Server Instances
• Read/Write Access to PHD Data
• Enabling/Disabling PHD Server Security
• Changing User Rights
• PHD Server's Interpolation and Extrapolation

5 Using the PHD OPC Server

• Guidelines for Accessing PHD Values
• Required Expertise
• Software Developer Tools
• PHD OPC Name Forms
• Supported Data Types
• Array Indexing
• Enumerated Data Types
• Interpreting Data Quality
• Data Confidence Versus Data Quality
• Out of Range and Nan Values
• Data for Requested Time of NOW
• Extrapolated Values
• Interpolated Values
• INTERPOLATIVE (Snapshot)

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• 1 Introduction to the Phd Opc Server
• 2 Uniformance Phd Components
• 3 Read/Write Access to Phd Data
• 4 Guidelines for Accessing Phd Values
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Summary of Contents for Honeywell Uniformance R300

• Page 1 Uniformance® PHD OPC Server User Guide R300...
• Page 2 In no event is Honeywell liable to anyone for any indirect, special or consequential damages. The information and specifications in this document are subject to change without notice.
• Page 3 Calls are answered by dispatcher between 6:00 A.M. and 4:00 P.M. Mountain Standard Time. Emergency calls outside normal working hours are received by an answering service and returned within one hour. Mail: Honeywell HPS TAC, MS L17 1860 W Rose Garden Ln Phoenix, Arizona 85027-2708 Europe...
• Page 4 Support and Other Contacts Korea Contact: Honeywell Global TAC – Korea Phone: +82-2-799-6317 +82-11-9227-6324 Facsimile: +82-2-792-9015 Mail: Honeywell Co., Ltd 4F, Sangam IT Tower B4-4 Block 1590, DMC Sangam-dong, Mapo-gu, Seoul, 121-836, Korea Email: [email protected] People’s Republic of China Contact: Honeywell Global TAC –...
• Page 5 Honeywell Japan Inc. New Pier Takeshiba, South Tower Building, 20th Floor, 1-16-1 Kaigan, Minato-ku, Tokyo 105-0022, Japan Email: [email protected] Elsewhere Call your nearest Honeywell office. World Wide Web Honeywell Solution Support Online: http://www.honeywell.com/ps Training Classes Honeywell Automation College: http://www.automationcollege.com Uniformance PHD - PHD OPC Server User Guide • v...
• Page 6 Support and Other Contacts vi • Uniformance - PHD OPC Server User Guide...

Page 7: Table Of Contents

• Page 8 Contents PHD Server's interpolation and extrapolation ......... 45 Using the PHD OPC Server ................47 Overview ....................47 Guidelines for Accessing PHD Values............ 47 Creating a PHD OPC Server Client Application........48 Required expertise ................48 Software developer tools ..............48 PHD OPC Data Standards for Client Applications........49 PHD OPC name forms .................

Page 9: About This Document

• Page 10 1 About This Document 1.3 Additional References 10 • Uniformance - PHD OPC Server User Guide...

Page 11: Getting Started

Page 12: phd opc server requirements, page 13: phd opc server registry settings, page 14: cached browsing, page 15: configuring the phd opc server, page 16: to configure dcom settings for the machine default.

• Page 17 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action RESULT: On Windows 2003/XP: On Windows 2000: Note: For Windows 2000, the tabs in the “Distributed COM Configuration Properties’ screen appear slightly different than those in the Windows 2003/XP ‘My Computer Properties’...
• Page 18 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action Default Properties Click the Default Properties tab. Set the Default Properties as shown in the following screen example: 18 • Uniformance - PHD OPC Server User Guide...
• Page 19 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action Default Protocols Click the Default Protocols tab. Ensure that Connection-oriented TCP/IP is the first protocol listed. Click OK to close the window. Uniformance - PHD OPC Server User Guide • 19...
• Page 20 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action Default COM Security On Windows 2003/XP: Click the COM Security tab. On Windows 2000: Click the Default Security tab. Default COM Security - Access Permissions - Edit Limits On Windows 2003/XP: Under ‘Access Permissions’, click Edit Limits.
• Page 21 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action On Windows 2003/XP only: Edit Limits, continued Add the local group NETWORK to the list, and make sure Remote Access is allowed, as shown in the following screen example. Uniformance - PHD OPC Server User Guide •...
• Page 22 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action TIP: On Windows 2003/XP, to add the local group NETWORK, do the following: 1) Click Add. 2) From the 'Locations' window, select the name of this machine. 3) Click OK.
• Page 23 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action 7) Click OK. 8) Click OK. Uniformance - PHD OPC Server User Guide • 23...
• Page 24 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action Click OK to close the 'Access Permission' window. Default COM Security - Access Permissions - Edit Default On Windows 2003/XP: Under ‘Access Permissions’ click Edit Default. On Windows 2000: Under ‘Default Access Permissions’...
• Page 25 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action On Windows 2003/XP: Ensure that the Everyone group has Remote Access, as shown in the following screen example. On Windows 2000: Ensure that the Everyone group has Allow Access selected for ‘Type of Access’.
• Page 26 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action Click OK to close the window. Default COM Security - Launch Permissions - Edit Default On Windows 2003/XP: Under ‘Launch Permissions’ click Edit Default. On Windows 2000: Under ‘Default Launch Permissions’...
• Page 27 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action On Windows 2000: Click OK to close the window. Uniformance - PHD OPC Server User Guide • 27...

Page 28: To Configure Properties Of The Phd Opc Server Com Components

• Page 29 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action Windows 2000: Uniformance - PHD OPC Server User Guide • 29...
• Page 30 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action Click the Location tab. Edit the properties as shown in the following screen example. The PHD OPC Server runs on the local system by default. If you wish to run the Server on a remote machine, select 'Run application on the following computer' and enter the computer name.
• Page 31 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action Click the Security tab. The Security tab is used to customize the access, launch, and configuration permissions for a selected individual COM component. On Windows 2000, normally you need not change these settings. Skip to Step X.
• Page 32 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action Add the Distributed COM Users group to the list if it is not there already. Ensure the Distributed COM Users group has Remote Launch and Remote Activation enabled, as shown in the following screen example.
• Page 33 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action On the Security tab, under Access Permissions, select Customize and click Edit. Uniformance - PHD OPC Server User Guide • 33...
• Page 34 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action Add the Distributed COM Users group to the list if it is not there already. Ensure the Distributed COM Users group has Remote Access enabled, as shown in the following screen example.
• Page 35 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server Step Action Select the Identity tab. By default, the PHD OPC Server runs under the identity of The Launching user - the user who initially launches it. If you wish the server to run under a specific user identity, select This User and enter the username and password.
• Page 36 3 Configuring the PHD OPC Server 3.2 View/Modify DCOM Configuration of PHD OPC Server 36 • Uniformance - PHD OPC Server User Guide...

Page 37: Overview Of Uniformance Phd

• Page 38 4 Overview of Uniformance PHD 4.1 Uniformance PHD Components Figure 1 Uniformance PHD Components 38 • Uniformance PHD OPC Server User Guide...

Page 39: Phd Server Functionality

Page 40: multiple phd server systems.

• Page 41 4 Overview of Uniformance PHD 4.3 Multiple PHD Server Systems Figure 2 Multiple PHD Server System Example The system configuration represented in the previous figure has three Uniformance PHD Servers used by clients. Multiple PHD Servers often provide distributed history storage to a varied group of clients, thereby providing better security and more predictable system loading.

Page 42: Phd Opc Server Instances

Page 43: read/write access to phd data, page 44: enabling/disabling phd server security, page 45: phd server's interpolation and extrapolation.

• Page 46 4 Overview of Uniformance PHD 4.7 PHD Server's interpolation and extrapolation 46 • Uniformance PHD OPC Server User Guide...

Page 47: Using The Phd Opc Server

Page 48: creating a phd opc server client application, page 49: phd opc data standards for client applications, page 50: phd opc name forms, page 51: array indexing.

• Page 52 5 Using the PHD OPC Server 5.4 PHD OPC Data Standards for Client Applications • LCN1.GEN1MODE.string (string value) The above examples are item names as referenced through the PHD OPC Server. Each would be configured in PHD to reference the same DCS point.variable, such as GEN1.MODE. The data type stored for the PHD variable would be either Integer or String.

Page 53: Interpreting Data Quality

Page 54: data confidence versus data quality, page 55: extrapolated values.

• Page 56 5 Using the PHD OPC Server 5.4 PHD OPC Data Standards for Client Applications 56 • Uniformance - PHD OPC Server User Guide...
• Page 57 Index using NaN values, 54 array indexing using out of range values, 54 for client applications, 51 data types client applications for client applications, 50 creating for PHD OPC Server, 48 DCOM creating standard for OPC, 48 running DCOMCNFG, 15 common reference database, 42 setting up when configuring, 15 confidence...
• Page 58 Index about the sections, 9 PHD OPC name forms document, about, 9 for client applications, 50 references, 9 PHD OPC Server enumerated data types about the User Guide, 9 supporting for client applications, 51 configuring using default installation, 15–35 example PHD server setup, 40 PHD security administering, 43 extrapolated values, using, 55...
• Page 59 Index user rights,change, 44 using PHD OPC Server creating client applications, 48 data standards, 49 Uniformance - PHD OPC Server User Guide • 59...
• Page 60 Honeywell Process Solutions 1860 W Rose Garden Ln Phoenix, AZ 85027-2708...

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Process Solutions. Uniformance Process History Database (PHD) Product Information Note

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Product Information Note

Uniformance, process history database (phd), process solutions, phd enables you to make sense of all the data in your plant to help you, make the right decision and optimize process performance..

Honeywell’s Uniformance® Process History Database (PHD) collects, stores and replays historical and continuous plant process data, increasing data security and improving process performance. PHD helps engineers and plant managers make better and faster decisions with superior data management.

Uniformance PHD Provides Rich History

Uniformance PHD makes timely data visible at the production level and enterprise-wide by collecting, storing and replaying historical and continuous plant process data. PHD’s timely data empowers plant staff to better align, plan, execute and make the right decisions.

The PHD infrastructure supports the integration of existing control systems and applications across multiple plants and sites. Its seamless data interfaces, data collection fail-over and

automatic history recovery ensure maintenance of vast amounts of data in long-term history to enable user access and application integration.

In addition to collecting and consolidating potentially massive amounts of process data, PHD provides the rich historian features needed to transform data into knowledge. PHD’s calculated tags allow users to apply engineering and business knowledge to current and historical data, while built-in engineering unit conversions help users view data in a format that makes sense to them. Process data may be combined with business data to provide a view of the entire operation. PHD can, move data from operational to business/analytical level enabling better decisions.

Uniformance PHD Benefits

Benefits of Uniformance PHD include:

 Scalable: PHD’s distributed architecture ensures that data may be collected from disparate data sources into a single consistent database. A PHD database may start out small and

be expanded to handle thousands of users and millions of tags.

 Secure: PHD provides support for commonly required firewall configurations and protects historical records from

unauthorized access. Also, helps to keep traffic off the process network by avoiding load on the control system.

 Robust: PHD provides data collection and history

recovery features to ensure availability of complete data records, even after data collection interruptions.

 Open: PHD has interfaces to collect data from

numerous Honeywell and third-party systems. Every PHD server includes an OPC server license, providing open integration to third-party applications.

Distributed Scalable Architecture

Uniformance PHD’s unique shadowing architecture provides distributed data collection and consolidation with a single configuration for the entire network of PHD servers. PHD can start out as a single server connected to a single DCS and later

be expanded to collect data from numerous data providers, consolidating them into a centralized data store.

Data collection may occur at one or many physical locations, which may be widely geographically distributed. PHD collectors may be set up on offshore platforms, pipelines, shipping terminals and plant units. Each PHD collector is a full PHD history server so operators and other process users may access the local collector without having to cross network boundaries. Data may be consolidated into a single history database known as a shadow server. After a shadow server is established, collectors may be added as data collection needs expand. PHD stores configuration of the tags (data points) in a single configuration database, so even though data may exist on many servers, it need only be configured once.

Consolidated Event Journal

Beginning with R310, PHD provides history for both events and process data. Users have the historical data and tools to view process alarms, events, and process changes alongside charts and graphics to better understand trends, and troubleshoot conditions leading to process anomalies.

Consolidated Event Journal (CEJ) collects events and alarms from TPS, Experion® , OPC A&E Servers, and CEJ Peer Servers. Data collected by CEJ is available to reports and Uniformance Process Studio. If the CEJ Server fails during event collection, the system recovers history data based on the last successful date and time, ensuring that the CEJ holds a consistent record of historical events.

Automatic Uniformance PHD Monitoring

Uniformance System Monitor (USM) automates many of the repetitive tasks commonly performed by a Uniformance PHD system administrator to evaluate the health of the system and to take appropriate actions. It ensures that right actions are taken to bring the PHD system back to a desirable operating state.

Support personnel can be notified when an error condition is detected, and can be optionally notified when the situation has been corrected.

Additionally, Uniformance System Monitor provides graphical and report-style methods of examining the entire system status at any time, on a per node or summary basis.

Automatic One-Time Configuration

While PHD may be used with a variety of Honeywell and third-party systems, when Uniformance PHD integrates with Honeywell’s Experion Process Knowledge System (PKS), the result is a solution that requires less administration and gives greater data integrity than is possible with any other plant historian.

 By leveraging PHD’s Tag Synchronization capability, a new PHD system can be installed, have its tags automatically built and be collecting data all in the same day.

 Tag synchronization automatically builds the PHD database from the Experion server’s information, removing the need for costly, error-prone manual configuration.

 As points are changed or added to the Experion system, they are automatically updated in PHD as well, reducing administration and maintaining the integrity of the database.

Integrated PHD/Experion data collection links ensure that operator history data and advanced history data is consistent, while creating minimal data collection load.

With a seamless migration to Uniformance® Release 321, users can avoid the risks of obsolescence and adopt the latest Windows and SQL Server platforms. The advantages of PHD Experion integration are:

 Ability to collect a high volume for data without loading the controllers

 Protection from data loss – in the event of a network outage or server downtime, the missing history is backfilled from Experion

 Ability to view PHD data directly from the Experion trend using the PHD point server

When PHD is expanded to the enterprise level, Tag Synchronization also may be used to maintain consistency between regional PHD process historians and the enterprise PHD server at a corporate IT center. As with Experion, PHD peer Tag Synchronization builds the enterprise database, and

Meeting the external regulatory demands placed upon process industries can be costly and time-consuming. Uniformance PHD helps meet regulatory expectations by allowing the uninterrupted collection of all critical data and securing data from unauthorized tampering.

PHD’s shadow architecture ensures that the process control network can be secured through a firewall. Each PHD server is a fully functioning system so Level 3 applications can utilize the PHD collectors for their data, while general plant data users can collect data from the Level 4 shadow server. No users need connect through a firewall. Additionally, communication between PHD servers is through customer-configurable ports, allowing customers to lock down unsafe ports in the firewall.

PHD also provides the means to secure historical data from unauthorized user access to read and write, or edit data values. Security may be set for all tags, groups of tags or be narrowed down to individual tags. Additionally, enabling Data Auditing ensures that changes to historical data and tag configuration are recorded.

Unequaled Robustness

A core feature of PHD’s shadowing architecture is the ability to recover history from lower level historians. If the Level 4 shadow server is down, when it is restarted it will automatically fill in the missing time period using data from the Level 3 collector server. Additionally, if the original data source has an accessible historian, a PHD collector can automatically fill in the missing time period using that history.

When history collection is critical, it may be desirable to install two PHD collector servers to ensure that critical data collection occurs, even if a single computer fails. PHD’s robust data collection provides dual data collectors with timely automated fail-over between collectors.

Beginning with PHD release 300, users have the option to install their PHD shadow server on a Windows cluster, resulting in a high availability solution that protects against server outages.

Open Standards Lower Lifecycle Support

Open standard connectivity is available for servers and clients that support OPC Historical Data Access (HDA) and OPC Data Access (DA), allowing PHD to interface with all modern control and application platforms.

PHD is the leader in OPC standards adoption. PHD was the first historian to provide an OPC Historical Data Access server and the first to provide an OPC HDA Client.

In addition to OPC, PHD provides Microsoft OLEDB support, making data available to Windows-based desktop applications in a table format using SQL commands. Starting with PHD 210, a .NET development interface is available to build modern applications leveraging PHD’s extensive history.

User-Friendly Desktop Tools

Uniformance PHD provides productivity tools that retrieve, display, analyze and report process data. Uniformance Process Studio users can view process data as trends, graphical displays and tables, and organize information to ensure productivity.

A companion add-in for Microsoft Office Excel delivers flexible data analysis and visualization. Integration with well-known Office components ensures that even a novice user can become productive quickly.

Migration to Uniformance R321 is seamless and easy with following advantages:

 "One-hop" migration from the R21x series

 Minimum disruption and no loss of data

 Does not need server upgrade hardware changes or even data reformatting when running on 64-bit servers

Uniformance PHD R321 Specifications

Parameter Specification

Concurrently connected users 10,000 (contact a Honeywell representative for licensing policies)

Number of tags in history Millions Retention of historical data online Unlimited Number of concurrent real-time data interfaces (contact a

Honeywell representative for available real-time data interfaces)

Operating system Microsoft Windows 2008 R2 and 2012

Collection from Windows 32-bit using Remote RDI

OPC standards supported OPC DA (Data Access) 1.1, 2.04, 3.0 OPC HDA (Historical Data Access) 1.1, 1.2 PHD configuration database Microsoft SQL Server 2012 Standard or Enterprise Network transport TCP/IP

LCN support

APP node APP Release 401 or later running Windows 2003 Experion support

Experion Tag Synchronization, PHD/Experion Link Experion R310 and newer

Experion and PlantScape® interface All Experion releases prior to R400, PlantScape R500 Consolidated Event Journal (CEJ) interfaces Experion, TPS, OPC A&E

Industry-Leading MES Solutions

Uniformance PHD provides the data foundation needed to enable business excellence. Honeywell is an industry leader in

integrated Manufacturing Execution Systems that improve plant profitability by enabling plant staff to work more effectively and make better decisions.

 Calculation and Visualization applications help

engineers combine process knowledge and plant data to analyze plant efficiency and identify trends.

 Advanced Planning and Scheduling tools help

planners and schedulers come up with optimal and feasible plans for a unit, plant or group of plants.

 Blending and Movement Automation helps plan,

control and track manufacturing performance for offsites, control optimum in-line blending and control material movements.

 Performance Management tools provide a common

view of information with graphical tools, performance metrics and calculations.

 Production Management tools track, determine and

report production, material use and inventory.

Uniformance Support Services

This product comes with worldwide, premium support services through our Benefits Guardianship Program (BGP). BGP is designed to help our customers improve and extend the usage of their applications and the benefits they deliver, ultimately maintaining and safeguarding their advanced applications. Honeywell provides a complete portfolio of service offerings to extend the life of your plant and provide a cost-effective path forward to the latest application technology. Honeywell services include:

 Software installation services

 On-site engineering services

 Migration services

 Scope expansion services

 Assessment services

 Performance baseline and tuning services

 Customized training

PN-04-004-ENG March 2015

©2015 Honeywell International Inc.

Uniformance® and Experion ® are registered trademarks of Honeywell International Inc. For More Information

Learn more about how Honeywell’s Uniformance PHD, visit our website

www.honeywellprocess.com/software or contact your Honeywell account manager.

Honeywell Process Solutions

1250 West Sam Houston Parkway South Houston, TX 77042

Honeywell House, Arlington Business Park Bracknell, Berkshire, England RG12 1EB UK Shanghai City Centre, 100 Zunyi Road Shanghai, China 200051

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• Control Systems

Uniformance PHD provides critical plant information

The industry solutions business of honeywell automation and control solutions (acs) recently introduced uniformance phd release 200—a plant information management system designed to collect, store, and replay critical plant data..

Phoenix, AZ – The Industry Solutions business of Honeywell Automation and Control Solutions (ACS) recently introduced Uniformance PHD Release 200—a plant information management system designed to collect, store, and replay critical plant data. Uniformance PHD is the flagship product in the Experion Process Knowledge Solution’s Advanced History portfolio. Using Microsoft Windows and Oracle RDBMS technologies, Uniformance PHD integrates the elements of a critical database, including scalability, availability, data integrity, security, and management of large amounts of continuously collected time-series data. Enhancements include robust data collection with near zero data loss redundancy to ensure high integrity quality data is presented for data exploitation and exploration. Support for OLE for Process Control (OPC) for real-time and historical data access and easy integration with third-party real-time process control systems, historian data sources, or process related business and control optimization software.

www.acs.honeywell.com

Honeywell ACS

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At one time, process historians were simply software packages used to store and present real-time process data. Today, however, historians are being used to do much more.

Process historians are being used to store ever-increasing amounts of big data originating from a much wider variety of sources, including control and monitoring, laboratory information management, enterprise resource planning (ERP), and asset management systems. Organizations are also using them to transform this and other data into actionable information to implement and improve equipment diagnostics, maintenance, safety, alarms, production, performance, and other process plant activities. Finally, historians are an essential part of integrating the enterprise, acting as a hub to distribute this information throughout the enterprise in various formats via company intranets, the Internet, and the cloud.

This blog explores the changing role of process historians and illustrates how these concepts are being used in process plants worldwide with application examples.

Deluge of data

At one time, historians were fed data primarily by the process control system, usually a distributed control system (DCS). Older historians relied on a proprietary database, which often limited user access and made it difficult to interface with other plant information systems. Now, thanks to more universal and open interface technologies-such as OPC, Ethernet, and SQL-many more external systems can send and access historian data (figure 1).

Advances in the Industrial Internet of Things (IIoT), including the increasing popularity of ISA100 wireless instrumentation, provide another source of data. If a plant has 100 ISA100 transmitters, each broadcasting once every six seconds, the historian could receive tens of thousands of data points every hour. These data points include the process variable, diagnostics, alarms, and events.

Modern historians no longer rely on a simple proprietary database stored on a local computer to deal with this big data. New SQL-based deployment architectures now support the cloud and centralized and decentralized architectures-and can consolidate data from local to corporate-level historians.

Various data-handling techniques are employed to deal with this big data, including filtering, time stamping, and combinations of flat-file and relational databases. For example, many of the data points coming from wireless instruments rarely change; therefore, the historian stores only those variables changing outside a predefined range, a form of reporting by exception. Devices themselves are becoming more intelligent, and with edge computing only the data that is of importance is given to the historian.

Data to actionable information

In the past, data from historians was primarily used to analyze processes and control functions. Engineers would write software to generate trends and graphs, and then try to visually analyze this process historian data to spot anomalies and areas for improvement. Spreadsheet software was the tool of choice, but it took a lot of work and expertise to make this general-purpose tool perform this specialized task. In many cases, data scientists had to be engaged to assist.

Now that data in modern historians is more readily available via the use of standard SQL structures and open interfaces, it is possible to use commercially available software for analysis and reporting, integrating with corporate standards and removing the need for specialist skills. Historian suppliers and system integrators have created a wide variety of specialized analysis packages (figure 2) for alarm management, safety system monitoring, asset management, mass balancing, off-sites management, and power and energy consumption. In many cases, these application packages were developed by suppliers and users to solve specific end user problems and challenges, and then they were made into universal solutions available to other users.

Distributing information

Thanks to the cloud, IIoT, and open interfaces, historian data can now be made available to anyone and any software system with proper access credentials. As shown in the applications section, historian data can be viewed locally, globally, and from centralized locations. For example, a dashboard display for an alarm monitoring application allows engineers to "drill down" into alarm activities. Clicking one of the colored discs in a heat map might take the user to the chattering alarms report, prefiltered for the day of interest. The user can continue to drill down until ultimately the raw alarm and events are displayed, which can be used for root-cause analysis and displaying filtered events before, during, and after an alarm incident.

This capability allows engineers at a central location to monitor conditions from company sites all over the world-but it also allows engineers at each plant to see the same data as it applies to their specific plant.

In addition, users are no longer limited to accessing historian data via a local PC. Data can be viewed on any desktop PC, laptop PC, smartphone, or tablet connected to the corporate intranet or to the Internet (figure 3).

What is possible with today's historians? With the availability of application packages and open interfaces, virtually any kind of analysis of plant data is now possible, as shown in the examples below.

Alarm management at a gas field

In Europe, a large facility extracting gas from dozens of widely dispersed well heads and tank farms is fully automated. Each well head or tank farm is linked to a central control and monitoring center to form one of the largest distributed control systems in the world.

The facility, with more than 750,000 potential alarms, requires an alarm management solution for safe, effective, and efficient operation. The alarm management system has to be used by all plant personnel, including operators, engineers, and managers. Alarm reporting and analysis is used to help identify and eliminate faulty and incorrectly configured alarms, reducing the number of alarms presented to an operator.

The well heads and tank farms are linked to the central monitoring and control center via seven Web servers. A process historian monitors the 750,000 potential alarms, analyzes how operators respond, and produces reports (figure 4) at the end of each shift to show:

• standing alarms at the end of a shift
• top 10 alarms by number of occurrences during the shift
• alarms suppressed by an operator at the end of the shift
• alarms in calibration at the end of the shift
• mean alarm rate for the shift
• alarm rate distribution by the clock hour

Weekly and monthly summary reports are available for management and planning meetings. The alarm management solution follows EEMUA 191 and ANSI/ISA-18.2 guidelines.

Valve travel times

At a large oil production facility, reports on high-integrity pressure protection system (HIPPS) activations were being generated with a custom application package running on a legacy DCS, which needed to be replaced. The company wanted a standardized solution independent from the DCS, so that it could be implemented across many locations with minimal configuration at each site.

The DCS-independent historian solution receives sequence of events (SOE) data from the HIPPS to generate HIPPS activations and event travel time reports. This solution has been deployed at two sites so far, each with a different DCS. At one site, the SOE data is collected through an OPC server connected directly to the historian. At the other site, SOE data is collected through the remote data synchronization application that provides a robust communication method to address low bandwidth and intermittent network connections.

All HIPPS activation and configuration data is stored in the process historian, with additional tables used to store intermediary report data. Reports at both sites are created with Microsoft Reporting Services. The reports are also available in PDF format to facilitate review and distribution among multiple teams.

Analyzing alarms, events, and PID control data

An agribusiness group wanted to analyze alarms and proportional, integral, derivative (PID) controller performance for 10 of its production plants worldwide from a cloud-hosted centralized control center. It needed to analyze alarm performance and improve the operation of its PID controllers from its headquarters and continue to access plant information locally. The 10 plants had control systems from five different vendors. A historian was deployed in a cloud-hosted environment (figure 5) to provide the required solution.

Data from all plants is consolidated in a single cloud-based historian via a secure and reliable data transfer method. For alarm and events data, the historian collects process data and alarms and events from each plant's control system. The solution enables alarms and events to be collected and monitored for each plant, and includes report generation and key performance indicator (KPI) data for further analysis from the centralized control center.

PID loop performance and alarms and events are displayed in a combined Web-based dashboard, providing a single display of key data for each site. The global plant management team now has a complete overview of each plant's status, and can analyze performance and identify operational improvement opportunities.

Analyzing plant data across multiple sites lets organizations benchmark processes and equipment using real plant data for comparison and assessment. Additionally, this information helps establish best practice processes, which are applied across all sites to help identify and set attainable targets and evaluate overall performance.

Measuring safety systems

An ultra-deep-water production platform needed to monitor and record all safety KPIs and to record safety and performance information. It needed a repository for all trips and operational statistics, covering all safety instrumented systems, to measure actual performance against the original safety design.

The historian, located offshore, acquires data from the platform's DCS, safety instrumented systems, emergency shutdown systems, and fire and gas systems. The historian stores all relevant safety-related data. All essential safety-related KPIs and statistics are validated and available in a single location. Without this solution, it would be very difficult and time consuming to consolidate, view, and analyze this data.

Safety systems need to have proof tests at various intervals to demonstrate that each component or subsystem is operational, such as a valve activation. The system can show that actual activations were successful and can be used to verify that the safety system is working correctly while it is operating-eliminating the need for further proof tests requiring shutdown. This reduces the number of plant startups and shutdowns required for scheduled testing.

This proof testing and safety trip data provides design input for layer of protection analysis (LOPA) and safety case updates, showing the true demand rates and helping identify scenarios and the frequencies of events. For each safety loop, statistical data and reports illustrate the true demand placed on that loop over a number of years. This historical data has actual field demand rates, and can be used to validate the safety case against the original design assumptions that were based on calculations.

Traditional historians were proprietary, closed systems used primarily to view and visually analyze process performance at a single site. Modern historians are open systems that work with any DCS or other data source, store data in open SQL Server databases and across the world in the cloud, and make data available to anyone, anywhere-as long as they have the proper security credentials.

Modern historians can also perform a variety of functions, such as alarm analysis, safety system verification, PID analysis, and energy monitoring. And instead of requiring companies to develop their own analysis software or hire data scientists, modern historians can be provided with or linked to specialized analysis application software.

A version of this article also was published at InTech magazine . 

Wayne Matthews

Topics: data historian , industrial automation , plant historian , process automation , Process Measurement & Control , Alarm Management , InTech , PID control , process , -Smart Manufacturing/Industry 4.0 , historians , process historian , PID contol

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Where Historians Work: An Interactive Database of History PhD Career Outcomes

Where Historians Work is an interactive, online database that catalogs the career outcomes of historians who earned PhDs at universities in the United States from 2004 to 2017. Powered by Tableau, Where Historians Work provides the fullest picture of PhD careers available for any discipline. This tool allows current and potential graduate students to understand the full scope of career options open to history PhDs and to research which departments best fit their values and goals, enables departments to better meet the professional development needs of their doctoral students, and documents the broad impact of doctoral education in history.

Where Historians Work was first released in 2018. At that time, the data set included career outcomes for the 8,523 historians who earned PhDs at PhD-granting universities in the United States from 2004 to 2013. In 2022, the AHA released four years of additional data, adding career outcomes for the 3,787 historians who earned PhDs at US universities from 2014 to 2017. 

Where Historians Work is a product of the AHA’s Career Diversity for Historians initiative, funded by the Andrew W. Mellon Foundation . 

Where Historians Work, 2004–13

Where historians work, 2014–17, methodology, exploring the visualizations.

The Where Historians Work database consists of two separate dashboards: one containing the 2004 to 2013 dataset and the other containing the 2014 to 2017 dataset. Each dashboard features seven interactive data visualizations. Toolbars near the top of the dashboards allow users to view career outcomes in the aggregate and filter the results by variables such as gender, graduation year, department, and field specialization. Many slides contain additional information that can be accessed by hovering your cursor over individual data points. The Where Historians Work dashboards are best viewed in a desktop browser in full screen. 

We hope users will explore the data, make discoveries, and share them with us. You can read a summary of initial findings from when the original 2004 to 2013 data set was published in 2017  here . A summary of findings from the 2014 to 2017 data set can be found here . Please send any comments or questions about Where Historians Work to Hope Shannon , the AHA’s marketing and engagement manager. 

Acknowledgments

Team Project Director: Emily Swafford Project Coordinators: Dylan Ruediger, Hope Shannon Project Contributors: Avrati Bhatnagar, Megan Connor, Claire Vanderwood

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Examples: NFL , NASA , PSP , HIPAA , random Word(s) in meaning: chat   "global warming" Postal codes: USA: 81657 , Canada: T5A 0A7

What does PHD stand for?

Phd stands for process historian database.

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• MLA style: "PHD." Acronym Finder . 2024. AcronymFinder.com 17 May. 2024 https://www.acronymfinder.com/Process-Historian-Database-(PHD).html
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Phd 300- honeywell training course.

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• phd server windows
• role of phd
• phd services
• file number data processing
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• r2 x64 windows
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PHD R300 Training

Dr. Amr Arafa

2 File Number

Process History Database

Introduction

3 File Number

The Role of PHD

• The role of PHD is to:

- Integrate all real-time process and process-related data.

- Provide a consistent and common base of process and process-related information to applications.

- Manage the archiving of process data.

- Provide a single controlled interface to DCS and SCADA systems.

- Provide process calculation and trending capabilities.

4 File Number

PHD System computers Supported Operating Systems: - Server (SQL Server 2008 & PHD Server)

Windows 2003 (x86) Windows 2003 (x64)

Windows 2003 R2 (x86) Windows 2003 R2 (x64)

Windows 2008 (x86) Windows 2008 (x64)

Including both Standard and Enterprise versions - Client (PHD Configuration Tool, Uniformance System Console and the R300 .NET API) Windows XP Professional (x86) Windows Vista Business (x86 & x64) Windows 2003 (x86) Windows 2003 (x64)

Including both Standard and Enterprise versions

5 File Number

Basic PHD Components

• PHD collects, integrates and maintains a history of real-time continuous and discrete production data, process performance data, and process-related data.

6 File Number

7 File Number

System Components and Data Flow

8 File Number

Data Processing : Confidence Factor

9 File Number

Intelligent Data Retrieval

• PHD provides application programs with built-in data manipulations and calculations, thus simplifying application development and maintenance.

- Data Reduction Calculations

- Automatic Missing Data Interpolation and Extrapolation

- Automatic Engineering Unit Conversions

10 File Number

Intelligent Data Retrieval : Automatic Engineering Unit Conversions

• When an application program requests data from PHD, it is possible to specify the units it requires.

• PHD converts the units from those stored with the tag into the requested units, eliminating having to build conversion functions into the various user tools and applications.

• A tag can be defined with any unit code, but is convertible by PHD only if it makes use of PHD base units (standard or user-configured).

11 File Number

USC •Built as a Microsoft Management Console add-in. •Makes connection to the PHDStart service which then transfers the communication over to the other PHD services in review. •The functionality provides access to any PHD component system in the environment using either trusted or non-trusted access connections. When trusted the account the user is logged in with to the computer is passed over to the PHD service for connection authentication. When non-trusted the user must enter a user account that can be validated by the remote PHD system.

12 File Number

PCT •While it is based upon Honeywell‟s Common Desktop Framework the tool accesses the SQL Server databases PHDCFG and PHDAPP for storage of any configuration performed. •When installed the default expectation is the person utilizing the tool will be logged on to the local computer with an account that can be authenticated as a member of the Product Administrators or Local Engineers upon the computer where the SQL Server databases are hosted.

13 File Number

Uniformance PHD Client Component

• Process Studio

14 File Number

• IE Plugin

15 File Number

PHD Server Follow up steps

During installation the following Local Account groups are created: Local Operators, Local Engineers, Product Administrators.

25 HONEYWELL - CONFIDENTIAL PHD R300.x

16 File Number

Lesson Topic - PHD Server now installed

These icons appear on the desktop for every server where

PHD Server services are

Further customization is configured in the PHD Configuration Tool and Uniformance System Console.

32 HONEYWELL - CONFIDENTIAL PHD R300.x

17 File Number

Real-Time Data Interface Management

18 File Number

RDI Configuration Overview

• The three major steps for configuration of an RDI are:

- Enter configuration data into the Interfaces in PCT.

- Run the configuration utility and execute its Save RDI/Link Configuration command.

- Cold start PHD.

19 File Number

• Interfaces (RDI‟ and Links) form is used to configure RDI‟s

20 File Number

RDI Configuration Overview – Experion Link

21 File Number

RDI Configuration Overview - Shadow RDI

22 File Number

RDI Configuration utility

• From the Start menu, open the PHD RDI Configuration utility (RDISetup.exe).

23 File Number

PHD RDI Configuration utility, continued

• Configure the Miscellaneous parameters as necessary, then select File>Save RDI/Link Configuration.

Adds to PHD

24 File Number

PHD RDI Configuration utility – Save configuration

•Save RDI Configuration form

25 File Number

Start PHD Cold

• Cold Start PHD using following command.

- PHDCTL Start Cold

26 File Number

2 HONEYWELL - CONFIDENTIAL File Number

•Redirection Manager (RDM) is required on the PHD Server if the PHD Experion Link is

to connect to a redundant pair of Experion Servers.

•In such a case, the PHD Experion Link is configured to connect to Redirection

Manager instead of the Experion OPC HDA server.

•RDM forwards requests to the active Experion Server of a configured redundant pair.

Redirection occurs whenever a failure is detected in the active Experion Server.

•RDM blocks all OPC calls until after the failover completes or after a user-configured

27 File Number

Tag Configuration

28 File Number

PHD Terminology

- Point. parameter

- TIC100.PV, TIC100.SP

• Attribute

- Parameter in Source System

• Parent Tag (template)

- Point Class

- Used for simplification of initial configuration and ongoing maintenance through dynamic inheritance.

29 File Number

PHD Tag Definitions

• All PHD Data is referenced by tag name. Tag Ids (numbers) are used internally. Tag Ids cannot be reused.

• History is associated with the Tag Id. (When a tag is deleted from Sql Server, the Tag Id will not be reused.)

• Tag names can be the same as those used on the source system, or they can be different.

• Tag names can include a prefix and/or suffix - Ex. BB.F131.PV

30 File Number

• Tags are classified into 5 groups:

- Parent Tags – templates which can be used when creating one of the other four classes of tags.

- Collected Tags – tags which store data collected from PHD interfaces.

- Manual Input Tags – tags which store data that is manually entered by a user.

- Virtual Tags – tags which provide data that is calculated based on collected tag values, manual input tag values and/or other virtual tag values.

- Stored Virtual Tags – tags which provide calculated data based on collected tag values, manual input tag values and/or other virtual tag values. This calculated data is then stored in the history archive.

31 File Number

Class Tags and Inheritance (templates)

• In general terms, class tags should be defined for each set of tags having similar data processing requirements. Many children per parent. No software limit to the number of levels, but Honeywell recommends no more than three; otherwise, it gets too complicated.

32 File Number

Class Tags and Inheritance

• Each tag's definition specifies what tag attributes are inherited from its

parent. The parent class-tag must be specifically defined for a tag.

• A class-tag may in turn inherit values from another class-tag.

• If a class-tag attribute is modified, any tags that inherit the attribute dynamically inherit the change. This permits the system to be configured with a set of intelligent default tag attributes.

• Initial tag definition as well as ongoing tag maintenance is simplified, as behavior of entire classes of tags can be altered by modification of the parent class-tag.

• On a per tag basis, users can override inherited tag definitions for tags that may have unique requirements within a class.

• You can identify Class tags any way you want. Class tags can identify tag types such as temperatures, orifice flows, set points, or tag usage such as optimization tags.

• If the active flag on a parent tag is enabled, it has no impact other than causing the parent tag to be displayed in Tag Explorer under the Parents folder.

33 File Number

Tag Configuration Form

• Following options are available to create various new tags.

34 File Number

• The Tag Configuration form allows you to enter new tags or modify existing tag configuration information.

35 File Number

• Tags can be searched using wild Character „*‟ or using options available in advanced search.

36 File Number

• Enable Flag Pane will provide various following options

Allow Data Store - This enables data

storage to Archive files.

Allow Data Edit – This enables to

modify historied data for the tag.

37 File Number

• Collection Pane provides various options related to RDI‟s & source tags.

RDI/Link Collector – Name of

RDI which is collection values

Source System – This will

provide the name of source

Source Tag Name – The name

of tag in source system

38 File Number

• The Storage Pane allows to optimize data storing function using Compression/Quantum

39 File Number

• The Advanced Configuration is for specifying ways to optimizes data storing functions of PHD.

Data Elimination Compression

Storage Format Compression

40 File Number

• After creating new tags or modifying the existing tags, click on “Send Tag Def to PHD” button to upload the changes to PHD Server.

41 File Number

Uniformance System Console

42 File Number

What is USC ?

• This tool is a graphic replacement for PHDMAN – however far greater functionality than was available through PHDMAN is provided in USC.

• The tool provides access to all PHD Server services, their settings and ability to control the system remotely from the physical computer.

• Appropriate access privileges are required to control system and alter configuration settings.

• USC provides the ability to connect via the PHDStart service upon every computer where PHD Services are installed.

• Connections can utilize both trusted (automatically validating the user account logged in with) and untrusted (when the user passes a valid user account that can be validated) connections.

43 File Number

How to set it up ?

• When first started USC has no information of any systems in the environment.

44 File Number

• To create a connection either right click upon the Uniformance System Console menu or just selecting Define Server.

45 File Number

How to set it up

• And the ability to enter the desired computer name hosting the PHD Services is opened.

46 File Number

• Once hostname is entered click upon OK

47 File Number

• With the computer upon the local domain and being a member of “Product Administrators” or “Local Engineers” select trusted connection

48 File Number

Services & Access

• And now one can see the beginning of the listed information that can be viewed in USC.

• The ability to remotely start and stop PHD completely or any of the individual services.

• With appropriate privileges using “Task List” the opportunity exists to actually kill a service – caution must be taken as operating system services can be chosen here as well.

49 File Number

• Starting at the top the DCOM Setting for OPC components can be seen.

50 File Number

• Ability to chose Event Logs to view.

51 File Number

• Viewing the data in these as well

52 File Number

• Even registry settings can be remotely viewed.

53 File Number

• The ability to configure Uniformance System Monitoring is managed under USC.

54 File Number

• Ability to view and control PHD upon the remote computer is provided.

55 File Number

• Interfaces running under RDIServer can be managed

56 File Number

• Ability to see how RDC is working

57 File Number

• When right clicking upon one of the PHD Server services and selecting properties.

58 File Number

• Access to the settings for the selected service are provided

59 File Number

60 File Number

• Need to enable the IE toolbar

- right-click on IE toolbar, and select “Uniformance PHD”

- requires IE6 or later

61 File Number

• IE Toolbar

62 File Number

IE Toolbar - Options Dialog

• The Options menu enables you to connect to the PHD Server and specify the format for the output files.

63 File Number

IE Toolbar - Get Data Dialog

• The Get Data option is used for conducting data query.

64 File Number

• The result of Get Data is as below :

65 File Number

IE Toolbar - Tag List Dialog

• The Tag List option is used for viewing the list of Tags.

66 File Number

• The result of Tag List is as below.

67 File Number

IE Toolbar - Other Useful Commands

• List of RDIs: phd://localhost/RDIList?

• List of Links: phd://localhost/LinkList?

• List of Parent Tags phd://localhost/ParentTagList?

• See help information for more details

68 File Number

Excel Companion

69 File Number

Purpose of Excel Companion

• The Excel Companion is an add-in for retrieving PHD data in

Excel Files.

• The add-in provides a drop-down menu and an optional tool

bar from which you can call a dialog box. You use the

dialog box to create a function in a cell that retrieves data.

The dialog box makes building the function call very user

70 File Number

The Excel Companion adds a „Uniformance‟ menu to standard Excel. Using this menu, PHD data, Event data, and LIMS data can be retrieved and placed on a worksheet. Once the data is on the worksheet, Excel functions can be used to analyze the data.

Visual PHD must be installed to use the Excel Companion.

71 File Number

Basic Steps: 1. Enter the tagnames for the

history call. (The Tag Explorer can be used to add one or more tagnames to the dialog box.)

2. Use the arrow button to move

the tagnames entry to the Selected Tags list.

3. Select the items you want to be

shown in the results. 4. Select one or more aggregates. 5. Specify an absolute or relative-

based start/end time. 6. Specify the Interval. 7. Select OK.

Use a dialog box to create the history function call in a cell.

72 File Number

„Get PHD Data‟ Dialog Box

• Use a dialog box to create the history function in a cell.

- Enter the tagnames for the history call.

73 File Number

• Use the arrow button to move the tagnames entry to the

Selected Tags list.

74 File Number

• Select the items you want to be shown in the results.

75 File Number

• Select one or more aggregates.

76 File Number

• Specify an absolute or relative-based start/end time & interval.

77 File Number

• Select “OK” to get data in excel

78 File Number

• The “Advanced” portion of the dialog box allows you to

specify - the output starting cell (contains the function call),

- the output presentation format, and other options.

79 File Number

PHD Backup Strategy

80 File Number

Uniformance Backup Overview

• Types of backups:

- PHD Archives

- Sql Server Database

81 File Number

Backup of PHD Archives

- Shut Down PHD using PHDCTL Stop command

82 File Number

- Take a current backup of [drive:]\program files\Honeywell\Uniformance\ PHDServer directory and its subdirectories (with the exception of the GBLSECT directory) on backup media

83 File Number

- Restart PHD using PHDCTL start cold command.

84 File Number

Sql Server Database Backups

• There are 2 databases of PHD in Sql Server : PHDAPP & PHDCFG

85 File Number

• Right Click on Database : PHDCFG & go to Tasks & Backup.

86 File Number

• In the Back Up Database details, give the location of backup.

87 File Number

• Once backup is finished, following message appears.

88 File Number

• Repeat the above procedure to backup “PHDAPP” Database.

89 File Number

Testing of Backup

• Honeywell recommends that backups be tested on a regular basis, by restoring the backup onto an offline system to test the validity of the backup.

90 File Number

Uniformance Process Studio

91 File Number

How to organize your favourite tags

• One of the features of Uniformance Process Studio is a workspace in which you can organize all of your tags/items for quick and easy access.

92 File Number

• Create folders.

93 File Number

• Find your tags/items

94 File Number

• Drag/drop tags/items to the workspace/folder

95 File Number

• Click Trend to start a new trend window.

96 File Number

• Drag/drop tags from a workspace, folder or from the tag/item Browser

• You can add up to 32 tags/items per trend.

97 File Number

• Hairlines allow you to see the data at specific times. To turn Hairlines on and off, use checkboxes on the menu or use right-click> Display.

Click the checkboxes to

turn on both Hairlines.

98 File Number

Trend options to support analysis

Drag the mouse to draw a box

where you want to zoom in.

To undo the zoom,

right-click and choose Reset

99 File Number

• You can add or eliminate columns from the trend properties table.

Right-click on the table and

select Columns.

Then select the columns

that you want from the list.

100 File Number

• You can arrange your windows to suit your needs.

• For this example, open three Trend windows and follow the instructions.

Right-click on a tab and select New

Horizontal Tab Group Right-click on a different tab and

select New Vertical Tab Group

101 File Number

• When you initially create a trend, it has a single Y axis. There are several other trend types to choose from.

To switch to a different

trend type, select Type

you want from the menu

102 File Number

• Trends: - Single Y, Multiple Y & Strip Chart

103 File Number

• Try the following advanced options that are available through the trend‟s right-click menu:

- Offset the time axis – useful to compare two different batch uns.

104 File Number

• First, use the right-click menu to configure the Secondary X Axis.

• Then, to show the X axis with the offset, right-click the Trend Properties table, add the Xaxis column, and set a tag/item‟s Xaxis property to Top.)

105 File Number

Multi-trend

• In addition to Trends, you can build a Multi-trend window to easily view numerous small plots (up to 25).

106 File Number

• Click MultiTrend to start a new Multi-trend window.

From the Home tab – click MultiTrend

to launch a new window.

107 File Number

•Notice that this top section changes to match whatever you have selected down here.

108 File Number

• Click Layout and then select the layout you want.

109 File Number

• Drag/drop tags/items onto each plot. Use the same drag/drop method as the full Trend.

110 File Number

• Hairlines are available for the Multi-trend.

Turn on Hairlines.

The boxes display the data

values at the Hairline

Drag a Hairline to a new

time and view the data

values in the boxes.

You can also use the slider

on the time control to move

111 File Number

• Use the time control to change the time settings for all of the plots.

• Double-click on any small plot to quickly navigate to a full Trend.

112 File Number

• The Table in Uniformance Process Studio provides a quick, simple data display.

• It also supports manual data entry/edit through the right-click menu.

113 File Number

• Click Table to start a new table window.

114 File Number

• Drag/drop several tags/items onto the table. Use the same drag/drop method as the Trend and multiTrend.

From the Home tab – click Table to launch

a new window.

NOTE: Always return Home to open a

new window.

115 File Number

• The Standard table type has optional filters on each column.

Select (Custom) to display this

dialog box where you can enter

your own custom filter.

116 File Number

• You can export values or PHD tag/item configuration to excel.

117 File Number

Time Control

• The Time Control can be used with Trends, MultiTrends, Tables, and Graphics.

• The Time Control allows you to set time related properties and to automatically play or step through data.

• You can use the time control in relative or absolute time format.

118 File Number

•You can save Trends, MultiTrends, Tables and various other items to a workspace for reuse: - Trends

- Multi-Trends

- Tags/Items

- Time Ranges

- External documents

- Web pages

119 File Number

• To save to a workspace

- Close a Table window.

- If you made changes, it asks if you want to save them. Click Yes to save to the workspace.

- Enter a name for the table.

120 File Number

• In addition, you can use direct entry, drag/drop, or copy/paste to save to a workspace.

To save to a workspace through direct

entry, right-click on a workspace

folder, choose Add, and then select

what you want to add.

To add to a workspace through drag/drop,

move your mouse in the area below the

tab until a gray border appears. Drag the

gray border to a folder in the workspace.

121 File Number

• Each workspace is saved as an .xml file that can be imported.

• You can email the file or save it to a shared location.

• To save the workspace to a shared location, select Send Workspace To> My Computer and then browse to a local or network share.

• Your colleague can then select Import Workspace and browse to the .xml file in the shared location.

You can have multiple

workspaces available.

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HN 300 Unit 8 Seminar Implementing Human Services Madelyn Harvey, PhD

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HN 300 Unit 6 Seminar Financing Human Services Madelyn Harvey, PhD

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• slovenščina

PHD: Process Historian Database

Meaning of phd.

Other Meanings of PHD

Definition in english: process historian database, phd also stands for:.

• Pacific Health Dialog
• Personal Hemodialysis System
• Pulse Height Distribution
• Push Here Dummy
• Permanent Head Damage

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