Delivery Release: Control Performance Analytics (CPA)
- Various performance KPIs and loop characteristics:
Status of alarms, warnings and user inputs, Service factor, Oscillations, Steady state performance, Tracking performance
- Stiction (static friction) detection
- Control loop optimization
The information is provided via an online reporting system.
System requirements / Frame conditions
- CPA works with all running PCS 7 installations in versions V7.1 SP2 to V9.0 all SP
- PID controllers (Standard): CTRL_PID
- PID controllers (APL): PIDConR, PIDConS, PIDConL
PID controllers (SIPAPER APL and others): CtrlPP, CTRL_PP, TE_CTRL, PID_SC, PPIDStepL
- Any other PCS 7 PID-controller modules on request and after evaluation
- CPA data collector installed on PCS 7 OS master and standby server
For optimization additional data is required from ES
Data of Non-PCS 7 systems can be analyzed with reduced scope
- CPA Demo Portal - CPA demo application (or contact our CPA Support Team)
- For full functionality and the best viewing experience please use Google Chrome.
- CPA Video- Short video about the functions of CPA
- SITRAIN BeLux Course Practical Process Control (E-CPAS) - Training related to Control Performance Analytics available at Siemens Industry Training Belgium
Verification of CPA SW Installer Package (SHA256-Checksums)
11/2018, current CPA installer package "CPA MOB Installer.msi" current version: V18.104.22.168 (27/09/18)
SHA256: D0 DD D0 9D 00 00 DC F0 D3 79 D2 18 56 98 4F C1 90 37 AA 8E E1 49 9D 17 C4 88 BA 59 C9 D9 B8 BE
06/2018, current CPA installer package "CPA MOB Installer.msi" current version: V22.214.171.12444 (22/05/18)
SHA256: E2 B8 84 D3 75 BF 83 8C 9E F0 76 E8 C8 00 A5 DC F1 81 ED 4D B7 AA 19 21 C3 11 AC EF F1 06 7C CF
12/2017, current CPA installer package "CPA MOB Installer.msi" current version: V126.96.36.19960 (15/11/17)
SHA256: EC 34 25 22 86 54 56 54 8E 74 47 12 53 E9 F5 FB E6 BC 03 81 34 94 58 91 28 99 43 BE 20 18 F0 A4
06/2017, current CPA installer package "CPA MOB Installer.msi" current version: V188.8.131.5249 (11/04/17)
SHA256: 05 B1 07 65 CF 92 10 AA CF 7D 3A B3 6A 1F E0 9F B8 98 2D E4 A8 69 78 4F 4C 07 03 55 43 55 24 E1
02/2017, current CPA installer package "CPA MOB Installer.msi" current version: 184.108.40.20629 (13/02/17)
SHA256: bf 72 39 cc b4 4a 73 ba 86 da f3 cd 98 fb d4 da 27 17 0b 8d f3 b5 1d 78 20 32 d1 c1 25 db 22 ee
12/2016, compatible CPA installer package "CPA MOB Installer.msi" current version: V220.127.116.1190 (25/11/2016)
SHA256: af 45 6f 44 39 9e a3 6a 86 f2 b8 21 09 b8 ef 5f ca c0 17 a7 b3 31 a1 50 53 e6 97 08 82 08 7b ed
08/2016, compatible CPA installer package "CPA MOB Installer.msi" compatible version: V18.104.22.168 (26/7/2016)
SHA256: c2 7d bb 82 76 92 12 e4 80 0c 63 d1 3f 65 12 07 ab b6 79 7b 1b 24 b0 d8 97 a2 6b 31 dd d0 e5 a2
The product Control Performance Analytics (CPA) has to be ordered according to the number of control loops to be analyzed or optimized.
Additionally and mandatory the access to the data services - Process Data Analytics Base - has to be ordered once for each service object. Control Performance Optimization has to be ordered according to the number of planned optimization calculations.
|Package Name||Order Number||Description|
|Process Data Analytics Base||9AS1112-0AA01-0AA0|
Process Data Analytics Base (One-time fee). Access to a web application for up to five users for a period of twelve months for the Service Object. This access is a prerequisite for the retrieval of analysis data from Process Data Analytics services (e.g. Control Performance Analytics).
|Control Performance Analytics|
Control Performance Analytics (One-time fee). Analysis and assessment of the control performance of up to ten selected PID control loops for a continuous period of up to 31 days. Prerequisity is an existing service element Process Data Analytics Base for the Service Object.
|Control Performance Optimization||9AS1111-1AA01-0AA0|
Control Perfomance Optimization (One-time-fee). Enhancement of one or more CPA service elements to include up to ten optimization calculations for PID parameters.
The portfolio elements and options allow the scalability according to the number of control loops to be analyzed and optimized.