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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

1860 W. Rose Garden Lane

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

Europe Contact: Honeywell TAC-EMEA Phone: +32-2-728-2732 Facsimile: +32-2-728-2696 Mail: TAC-BE02 Hermes Plaza Hermeslaan, 1H B-1831 Diegem, Belgium

Pacific Contact: Honeywell Global TAC – Pacific Phone: 1300-300-4822 (toll free within Australia) +61-8-9362-9559 (outside Australia) Facsimile: +61-8-9362-9564 Mail: Honeywell Limited Australia 5 Kitchener Way Burswood 6100, Western Australia Email: [email protected]

India Contact: Honeywell Global TAC – India Phone: +91-20- 66039400 Facsimile: +91-20- 66039800 Mail: Honeywell Automation India Ltd. 56 and 57, Hadapsar Industrial Estate Hadapsar, Pune –411 013, India Email: [email protected]

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Korea Contact: Honeywell Global TAC – Korea Phone: +82-80-782-2255 (toll free within Korea) Facsimile: +82-2-792-9015 Mail: Honeywell Co., Ltd 4F, Sangam IT Tower B4-4 Block 1590, DMC Sangam-dong, Mapo-gu, Seoul, 121-835, Korea Email: [email protected]

People’s Republic of China Contact: Honeywell Global TAC – China Phone: +86- 21-52574568 Mail: Honeywell (China) Co., Ltd 33/F, Tower A, City Center, 100 Zunyi Rd. Shanghai 200051, People’s Republic of China Email: [email protected]

Singapore Contact: Global TAC – South East Asia Phone: +65-6580-3500 Facsimile: +65-6580-3501 +65-6445-3033 Mail: Honeywell Private Limited Honeywell Building 17, Changi Business Park Central 1 Singapore 486073 Email: [email protected]

Taiwan Contact: Global TAC – Taiwan Phone: +886- 7- 536 2567 Facsimile: +886-7-536 2039 Mail: Honeywell Taiwan Ltd. 17F-1, No. 260, Jhongshan 2nd Road. Cianjhen District Kaohsiung, Taiwan, ROC Email: [email protected]

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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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http://www.honeywellprocess.com/

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.


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.


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.



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.




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.


3 Important Considerations in PHD System Sizing 3.3 Calculations and Virtual Tags

3.3 Calculations and Virtual Tags


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 -


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


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 -


3 Important Considerations in PHD System Sizing 3.6 Standard RDIs Available


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 -


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


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



3 Important Considerations in PHD System Sizing 3.8 PHD OPC Server


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.




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

-




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

-




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

-


3 Important Considerations in PHD System Sizing 3.9 PHD Applications

3.9 PHD Applications Consolidated Event Journal (CEJ)


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)


Number of TPS systems connected to a single database

25 -

EPKS RDI for Consolidated Event Journal (CEJ)


Number of EPKS collectors configured

9 -

OPCAE RDI 1.10 for Consolidated Event Journal (CEJ)


Number of OPCAE collectors configured

9 -

PHD to Relational


Number of tasks scheduled

16 -


3 Important Considerations in PHD System Sizing 3.9 PHD Applications


Number of tags per task

16 -

Peer Tag Sync


Number of tags 230,000 - Experion Tag Sync


Number of tags 50,000 -

Number of Experion Servers

36 -



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