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Uniformance®
PHD Server Specification Sheet
R320
Copyright, Notices, and Trademarks © Honeywell International Inc. 2014. All Rights Reserved.
While this information is presented in good faith and believed to be accurate, Honeywell disclaims the implied warranties of merchantability and fitness for a particular purpose and makes no express warranties except as may be stated in its written agreement with and for its customers.
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.
Honeywell, Experion, PlantScape, TotalPlant, Uniformance PHD, and Business FLEX are U.S. registered trademarks of Honeywell International Inc.
Other brand or product names are trademarks of their respective owners.
Honeywell Process Solutions
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Phoenix, Arizona 85027-2708 USA
1-800 822-7673
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Support and Other Contacts
United States and Canada Contact: Honeywell Solution Support Center Phone: 1-800 822-7673. 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 Lane Phoenix, Arizona 85027-2708
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Support and Other Contacts
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Support and Other Contacts
Japan Contact: Global TAC – Japan Phone: +81-3-6730-7160 Facsimile: +81-3-6730-7228 Mail: 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.honeywellprocess.com
Training Classes
Honeywell Automation College: http://www.automationcollege.com
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Contents
1. Architecture Overview .........................................................................................9 Architecture examples ............................................................................9
2. Important Considerations in PHD System Sizing .......................................... 11
2.1 Introduction ............................................................................................. 11
3. Important Considerations in PHD System Sizing .......................................... 13
3.1 Introduction ............................................................................................. 13
3.2 PHD Server ............................................................................................. 14
3.3 Calculations and Virtual Tags ................................................................. 17
3.4 Roles ....................................................................................................... 18
3.5 Data Collection and RDI Server ............................................................. 18 3.6 Standard RDIs Available ........................................................................ 19
3.7 Remote Peer Interface ........................................................................... 20
3.8 PHD OPC Server .................................................................................... 20
3.9 PHD Applications .................................................................................... 25 Consolidated Event Journal (CEJ) ....................................................... 25 EJC RDI for Consolidated Event Journal (CEJ) .................................. 25 EPKS RDI for Consolidated Event Journal (CEJ) ................................ 25 OPCAE RDI 1.10 for Consolidated Event Journal (CEJ)..................... 25 PHD to Relational................................................................................. 25 Peer Tag Sync ..................................................................................... 26 Experion Tag Sync ............................................................................... 26
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Contents
Figures Figure 1 - Small scale PHD system ................................................................................. 9 Figure 2 - Medium scale PHD system............................................................................ 10
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1. Architecture Overview A PHD implementation may consist of many different integrated hardware and software components depending upon the needs of the customer. The following architecture examples represent two of the many possible topologies that can comprise a PHD implementation. The architecture is highly scalable and not all nodes are necessary or required. In some cases, it may be advisable to combine multiple functions on a single Windows server; while in other cases; distributing functions across multiple servers may provide the best system security and scalability. The following guidelines apply to PHD 310 and subsequent releases.
Architecture examples
Small scale system
Figure 1 - Small scale PHD system
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1 Architecture Overview 2.1 Introduction
Medium scale system
Figure 2 - Medium scale PHD system
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2. Important Considerations in PHD System Sizing
2.1 Introduction The following tables outline the supported maximums for the PHD system. The ability of a customer to reach one or more of these limits depends on numerous considerations including, but not limited to the following:
• Server physical memory
• Processor speed
• Number of processors
• Disk space
• Number of system limits being stressed
• Network capacity
• Configuration and system tuning
• Amount of server load imposed by other applications.
This Specification Sheet also identifies the recommended hardware. In the case of heavily loaded systems, it is recommended that Honeywell Services be consulted to plan an appropriate server configuration.
As each installation will be uniquely tailored to the site’s needs, there may be configurations that exceed specified limits. While these configurations may be acceptable; it is recommended that the site contact Honeywell to review the configuration. Some of the limits may be attained only when using high-end hardware - Honeywell Services should be consulted when in doubt. It is important to remember that PHD has been designed to take full advantage of all available hardware resources (such as number of processors, hyper threading, and memory) to provide maximum performance and capacity.
ATTENTION
The PHD Sizing Tool, SizePHD, must be used to verify that the proposed hardware configuration is consistent with the limits stated in this specification sheet.
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3. Important Considerations in PHD System Sizing
3.1 Introduction The following tables outline the supported maximums for the PHD system. The ability of a customer to reach one or more of these limits depends on numerous considerations including, but not limited to the following:
• Server physical memory
• Processor speed
• Number of processors
• Disk space
• Number of system limits being stressed
• Network capacity
• Configuration and system tuning
• Amount of server load imposed by other applications.
This Specification Sheet also identifies the recommended hardware. In the case of heavily loaded systems, it is recommended that Honeywell Services be consulted to plan an appropriate server configuration.
As each installation will be uniquely tailored to the site’s needs, there may be configurations that exceed specified limits. While these configurations may be acceptable; it is recommended that the site contact Honeywell to review the configuration. Some of the limits may be attained only when using high-end hardware - Honeywell Services should be consulted when in doubt. It is important to remember that PHD has been designed to take full advantage of all available hardware resources (such as number of processors, hyper threading, and memory) to provide maximum performance and capacity.
ATTENTION
The PHD Sizing Tool, SizePHD, must be used to verify that the proposed hardware configuration is consistent with the limits stated in this specification sheet.
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3 Important Considerations in PHD System Sizing 3.2 PHD Server
It is important for all ‘large scale’ system configurations, that the site validate performance and capability on the target configuration.
3.2 PHD Server
Parameter Specification Comments
Total number of tags 2,000,000 For higher-end systems or if a larger number of tags is required, it is recommended that Honeywell Services be consulted when planning or configuring these system.
Data types supported Type ‘I’ – 32-bit Integer
Type ‘L’ – 64-bit Integer
Type ‘F’ – Single precision
Type ‘D’ – Double precision
Type ‘C’ – ASCII String
Type ‘U’ – Unicode String
Type ‘B’ – Binary Data
-
Maximum BLOB tag size
32,500 Maximum data size is controlled by two PHD parameters:
MAX_USEVALLEN which defaults to 255. This controls the maximum amount of memory PHD allocates for each value in processing requests.
MAX_ARCRECSIZE which defaults to 2048.
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3 Important Considerations in PHD System Sizing 3.2 PHD Server
Parameter Specification Comments This controls the record size within the archive files and must be changed if larger data sizes are required.
Maximum string tag size
32,500 characters See above.
Number of connected archives
8192 (memory permitting)
While PHD permits up to 1024 open archive files, the actual number of open archives is constrained by the available system memory.
Maximum archive size
32GB In general, larger archive sizes are recommended for optimal data retrieval response times.
Concurrently connected users
10,000 The number of concurrent requests is limited by the system resources and by the number of available pool threads which, by default, is 256
Default limit imposed by APIServer is 100.
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3 Important Considerations in PHD System Sizing 3.2 PHD Server
Parameter Specification Comments
PHD Server and RDI cross reference table
65535 Calculate the number of RDIs times the number of servers running those RDIs. For example, if an RDI is running on dual RDC collectors and two shadow servers, it should be counted four times. If the machine in question is one of the hosts, then subtract one (1).
Default maximum is 256, but can be increased using the Registry setting RdiHostTableSize.
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3 Important Considerations in PHD System Sizing 3.3 Calculations and Virtual Tags
3.3 Calculations and Virtual Tags
Parameter Specification Comments
Number of functions 128,000 Includes 1D, 2D, and 3D lookup tables
Default limit is 100 and is controlled by the PHD parameter MAX_PRCFUNC.
Number of modules 128,000 Default limit is 1,000 and is controlled by the PHD parameter MAX_PRCMODULE.
Levels of nested virtual tags
32 for calculations Nested GetData requests are limited to 64.
Number of function arguments
128 -
Calculation registers 64 -
Number of characters in a virtual tag definition
30,000
-
Length of a calculation string
2047 -
Number of input tags 2048 -
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3 Important Considerations in PHD System Sizing 3.4 Roles
3.4 Roles Parameter Specification Comments
Number of PHD roles
287 -
Maximum roles per user
287 Always uses INTS in 320
3.5 Data Collection and RDI Server
Parameter Specification Comments
Number of RDI Servers per physical server
25 -
Number of RDIs per RDI Server
25 for Shadow Servers with Active and Standby nodes configured
100
While the default is approximately 25, this number can be fine tuned using system registry settings (with the consultation of Honeywell Services)
Fastest collection rate
1 second The number of tags that can be collected at this rate is typically constrained by the capacity of the data provider.
Slowest collection rate
1 day -
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3 Important Considerations in PHD System Sizing 3.6 Standard RDIs Available
Parameter Specification Comments
Maximum tags per RDI
400,000
Typically 25,000 - 50,000
While an RDI may be assigned 400,000 tags, it is typically advisable to have more RDIs with a lower tag count and collection offsets to balance load against the data provider.
3.6 Standard RDIs Available
Honeywell Model Number
Name Comments
Type “A” Interfaces - -
TP-RDIN52 Experion Link Used with Experion R310 and later
TP-RDIN01 Remote LxS RDI Runs on an APP node, and collects data from a TPS system (LCN)
TP-RDIN06 Experion/PlantScape RDI Used with PlantScape and Experion releases. Beginning with PHD 210 and Experion 300, Experion Link is the preferred interface.
TP-RDIN12 OPC RDI -
TP-RDIN14 OPC RDI for Honeywell systems
-
TP-RDIN30 File Access/FTP -
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3 Important Considerations in PHD System Sizing 3.7 Remote Peer Interface
Honeywell Model Number
Name Comments
TP-RDIN31 File Access/FTP for Honeywell systems
-
Internal RDIs - These interfaces are included in the PHD server license.
Gateway RDI -
Shadow RDI -
Manual Input RDI -
Virtual Tag RDI -
Test RDI Sine wave simulation interface
ATTENTION
All RDIs are licensed per “area”, which is roughly equivalent to a PHD collector and shadow “system”.
Numerous additional RDIs have been developed on a project basis. Contact Honeywell if an interface is required for a system that is not listed here.
3.7 Remote Peer Interface
Parameter Specification Comments
Number of remote peers on a PHD server
20 if run as a specific user
100 if run under the local System account
-
3.8 PHD OPC Server
Parameter Specification Comments
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3 Important Considerations in PHD System Sizing 3.8 PHD OPC Server
Parameter Specification Comments
OPC DA versions supported
1.0a, 2.05, and 3.0 -
OPC HDA versions supported
1.1, and 1.2 -
Number of PHD OPC Servers installed on a Windows server
1 -
Number of PHD OPC Servers connected to a PHD server
100 -
Number of OPC clients connected to a single PHD OPC server
50 This also depends on if the OPC server is collocated with PHD server or on a standalone box. RDM is assumed not to be installed for this number.
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3 Important Considerations in PHD System Sizing 3.8 PHD OPC Server
Parameter Specification Comments
Maximum OPC Groups supported
80 Based on 'maximum tags per group' (5,000 items per OPC group) and maximum tags (400,000), then 400,000 / 5,000 = 80.
Maximum tags per OPC group
5,000 -
HDA server aggregates implemented
OPCHDA_INTERPOLATIVE
OPCHDA_TOTAL
OPCHDA_AVERAGE
OPCHDA_TIMEAVERAGE
OPCHDA_COUNT
OPCHDA_STDEV
OPCHDA_MINIMUMACTUALTIME
OPCHDA_MINIMUM
OPCHDA_MAXIMUMACTUALTIME
OPCHDA_MAXIMUM
OPCHDA_START
OPCHDA_END
OPCHDA_DELTA
-
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3 Important Considerations in PHD System Sizing 3.8 PHD OPC Server
Parameter Specification Comments
HDA server aggregates implemented
OPCHDA_REGSLOPE
OPCHDA_REGCONST
OPCHDA_REGDEV
OPCHDA_VARIANCE
OPCHDA_RANGE
OPCHDA_DURATIONGOOD
OPCHDA_DURATIONBAD
OPCHDA_PERCENTGOOD
OPCHDA_PERCENTBAD
OPCHDA_WORSTQUALITY
PHD_INTERPOLATIVE
PHD_AVERAGE
PHD_TIMEAVERAGE
PHD_DELTA
PHD_MINIMUMACTUALTIME
PHD_MINIMUM
PHD_MAXIMUMACTUALTIME
PHD_MAXIMUM
PHD_STDEV
PHD_REGSLOPE
PHD_REGCONST
PHD_REGDEV
PHD_FIRST
-
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3 Important Considerations in PHD System Sizing 3.8 PHD OPC Server
Parameter Specification Comments
PHD_MINIMUMACTUALTIME_CONF
PHD_MINIMUM_CONF
PHD_MAXIMUMACTUALTIME_CONF
PHD_ MAXIMUM_CONF
PHD_STDEV_CONF
PHD_REGSLOPE_CONF
PHD_REGCONST_CONF
PHD_REGDEV_CONF
PHD_FIRST_CONF
PHD_LAST_CONF
PHD_LAST
PHD_INTERPOLATIVE_CONF
PHD_AVERAGE_CONF
PHD_TIME_AVERAGE_CONF
PHD_DELTA_CONF
-
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3 Important Considerations in PHD System Sizing 3.9 PHD Applications
3.9 PHD Applications Consolidated Event Journal (CEJ)
Parameter Specification Comments
Maximum data retention
5 years Data can be retained as many years as required depending on memory available space on the hard disk drive.
Maximum records inserted per second
16 Also refer to LCN for appropriate limitations
EJC RDI for Consolidated Event Journal (CEJ)
Parameter Specification Comments
Number of TPS systems connected to a single database
25 -
EPKS RDI for Consolidated Event Journal (CEJ)
Parameter Specification Comments
Number of EPKS collectors configured
9 -
OPCAE RDI 1.10 for Consolidated Event Journal (CEJ)
Parameter Specification Comments
Number of OPCAE collectors configured
9 -
PHD to Relational
Parameter Specification Comments
Number of tasks scheduled
16 -
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3 Important Considerations in PHD System Sizing 3.9 PHD Applications
Parameter Specification Comments
Number of tags per task
16 -
Peer Tag Sync
Parameter Specification Comments
Number of tags 230,000 - Experion Tag Sync
Parameter Specification Comments
Number of tags 50,000 -
Number of Experion Servers
36 -
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