(LIDO) 109782361_CMS_Insight_App_DOC_V1_0_en

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Visualizing CMS 
parameters and KPIs 
in the Performance 
Insight app 
 
SIPLUS CMS1200 SM 1281/ MindSphere 
 
https://support.industry.siemens.com/cs/ww/en/view/109782361 
 
 
Siemens 
Industry 
Online 
Support 
https://support.industry.siemens.com/cs/ww/en/view/109782361
Legal information 
 
Visualizing CMS parameters and KPIs in the Performance Insight app 
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Legal information 
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Table of contents 
 
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Table of contents 
Legal information ......................................................................................................... 2 
1 Introduction ........................................................................................................ 4 
1.1 Overview............................................................................................... 4 
1.2 Principle of operation ............................................................................ 6 
1.3 Components used ................................................................................ 8 
2 Configuration and parameter assignment ...................................................... 9 
2.1 Precondition ......................................................................................... 9 
2.1.1 Creating a dashboard and the "Diagram" widget ............................... 11 
2.1.2 Defining and visualizing KPIs ............................................................. 16 
2.1.3 Instructions for working with the formula editor .................................. 18 
2.1.4 Creating additional widgets ................................................................ 22 
3 Useful information ........................................................................................... 23 
3.1 Aggregation ........................................................................................ 23 
3.2 Definitions for KIPs ............................................................................. 24 
4 Appendix .......................................................................................................... 25 
4.1 Service and support ........................................................................... 25 
4.2 Links and literature ............................................................................. 26 
4.3 Change documentation ...................................................................... 26 
 
1 Introduction 
 
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1 Introduction 
1.1 Overview 
Purpose of the application example 
This application example shows how you visualize CMS parameters (e.g. vibration 
variables such as vRMS, aRMS, DKW) in an easy way within the MindSphere app 
SIMATIC Performance Insight (referred toin the following as the app). 
In addition to the CMS parameters, you can define your own plant-specific 
parameters (KPIs) and have them displayed in the app too (see also section 3.2). 
Which variables will be visualized? 
Two CMS parameters and a self-defined KPI will be visualized in this application 
example by way of example: 
 
CMS parameters 
• aPeak (peak value of vibration acceleration) 
• aRMS (interval rms value of vibration acceleration) 
 
KPI 
• CREST factor (ratio of peak value to rms value) 
 
The CREST factor can be determined from the two CMS parameters: 
 
CREST factor =
aPeak
aRMS
 
 
This calculation will be placed in the app and defines the KPI named "KPI_CREST" 
used here. 
Visualization options 
The visualization is done with at least one widget, which is created in a dashboard. 
The app offers various widgets. Of these, the ones indicated below will be used in 
this application example: 
 
Figure 1-1 Widgets offered by the app 
 
 
The figure below shows the result based on an example process. The steps 
leading to this result are executed in section 2. 
 
1 Introduction 
 
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Figure 1-2 Visualization of the vibration variables and a KPI in a dashboard with various widgets 
Dashboard
Widget 
“Diagram“
Widgets 
“Gauge“
Widgets 
“Value“
KPI
Asset
Vibration variables
 
 
Note The reason for the different values in the widgets for the same variables (e.g. 
"Gauge_aPeak" = 1.68 and "Value_aPeak" = 1.97) is the small time delays until 
the current value is displayed. 
 
 
1 Introduction 
 
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1.2 Principle of operation 
Hardware setup for determining the vibration variables 
The CMS parameters are acquired with the hardware setup used in application 
example "Monitoring of Machine Vibration Variables with a SIPLUS CMS1200 
SM 1281 Condition Monitoring System". 
Link to application example: 
https://support.industry.siemens.com/cs/ww/en/view/109480750 
 
Figure 1-3 Hardware setup for determining the vibration variables 
 
Hardware setup for connecting to MindSphere 
The MindConnect Nano is added to the hardware setup in Figure 1-3. 
MindConnect Nano transfers parameters and messages of the SIPLUS CMS1200 
SM 1281 to MindSphere. You can then have these displayed in the app. 
Application example "Connecting a SIPLUS CMS1200 SM 1281 to MindSphere" 
shows the connection with the MindConnect Nano. 
Link to application example: 
https://support.industry.siemens.com/cs/ww/en/view/109750010 
 
Figure 1-4 Addition of the MindConnect Nano to the hardware setup 
MindConnect Nano
 
 
https://support.industry.siemens.com/cs/ww/en/view/109480750
https://support.industry.siemens.com/cs/ww/en/view/109750010
1 Introduction 
 
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Operating mechanism 
As of version V3.2, the SM1281 comes equipped with an OPC UA data server that 
is available in parallel with the web server on the device. 
Address of the OPC UA data server: opc.tcp://192.168.0.200:4840 
All values of the interface are read-only. 
The OPC UA interface is structured as follows: 
 
Figure 1-5 Structure of the OPC UA interface 
 
 
 
The process values (aPeak, aRMS) pass from the OPC UA data server via the 
NanoConnect to MindSphere, where they are read by the app. 
 
Figure 1-6 Process data path from OPC UA data server to app 
SM 1281
OPC-UA 
data server
aPeak
aRMS
aPeak
aRMS
aPeak
aRMS
CPU 
S7-1200
 
 
1 Introduction 
 
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1.3 Components used 
Validity 
This application is valid for 
• STEP 7 V16 and higher 
• WinCC V16 and higher 
• S7-1200 FW 4.2 and higher 
• SM 1281 FW 3.2.1 
 
The hardware and software components used correspond to those in the 
application examples referenced in section 1.2. 
2 Configuration and parameter assignment 
 
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2 Configuration and parameter assignment 
What will you find here? 
This section contains instructions on how to do the following with the app: 
• Visualize CMS parameters aPeak and aRMS 
• Define and visualize KPIs 
2.1 Precondition 
The following precondition must be met: 
• MindConnect Nano has established a connection to MindSphere. 
 
The following application example shows the connection of a SIPLUS CMS1200 
SM 1281 to MindSphere: 
https://support.industry.siemens.com/cs/ww/en/view/109750010 
 
• In order to visualize the aPeak and aRMS data from the plant (here using the 
OPC UA server of the SM 1281), this data must be transferred to MindSphere 
using the Asset Manager. 
 
Figure 2-1 Connectivity of MindConnect Nano 
Add new Datasource
View Configuration
Datapoint Linking
4 of 4 datapoints linkedProtocol: OPCUA Reading Cycle: 5s
 
 
The data structure of your plant is then automatically displayed in the app. 
https://support.industry.siemens.com/cs/ww/en/view/109750010
2 Configuration and parameter assignment 
 
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Initial situation 
The previously described preconditions are met. The further steps involve the asset 
"CMS1200_Data". 
 
Figure 2-2 Asset "CMS1200_Data" in the app 
 
 
2 Configuration and parameter assignment 
 
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2.1.1 Creating a dashboard and the "Diagram" widget 
Creating a dashboard 
1. Select the "CMS1200_Data" asset as shown in Figure 2-2. Click the plus icon 
to create a new dashboard: 
 
Figure 2-3 Creating a new dashboard 
 
 
2. Assign a name for the dashboard (1), and select the time range in which you 
want to monitor aPeak and aRMS (2). Finish your entries by clicking "Create" 
(3). 
 
Figure 2-4 Naming the dashboard and assigning its parameters 
1
2
3
 
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Creating a widget 
3. Click "Create first widget". 
 
Figure 2-5 Creating a widget 
 
 
4. Select a widget type (here: "Diagram" (1)) and click "Continue" (2). 
 
Figure 2-6 Selection of the "Diagram" widget 
1
2
 
 
5. Assign a name for the widget (1), and specify the time interval at which the 
visualized process values aPeak and aRMS are to be updated (2). Then click 
"Continue". 
 
 
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Figure 2-7 Naming the widget and assigning its parameters 
1
2
 
2 Configuration and parameter assignment 
 
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Selecting CMS parameters 
6. Click "Select parameter" and select aPeak and aRMS. Then click "Choose". 
 
Figure 2-8 Selection of process values to be visualized 
 
 
7. For aPeak and aRMS, select which of the determined values is to be displayed 
(for information on aggregation, see section 3.1). Then click "Continue". 
 
Note You can define KPIs at this point. This application example does this separately 
in section 2.1.2. 
Figure 2-9 Aggregation of process values 
 
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Defining limits 
8. Click the gear icon (1) and (2) and define the limits. Select the color in which 
aPeak and aRMS are to be visualized (3) and (4). Then click "Continue". 
 
Figure 2-10 Specifying warning and alert limits for the process values 
1
2
3
4
 
Finishing entries 
9. Click "Finish". 
 
10. Click the icon indicated below in order to view the diagram in its entirety. 
 
Figure 2-11 Created widget 
 
 
Result: The vibration variables aPeak and aRMS are visualized in the app. 
 
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2.1.2 Defining and visualizing KPIs 
1. Click the pencil icon in the "CMS1200_Data_Diagram" widget. 
 
Figure 2-12 Widget editing mode 
 
 
 
Note If the pencil icon is not present in the display, click the gear icon on the right of 
the screen. The pencil icon will then appear. 
 
 
2. Click "(3) Parameter". 
 
Figure 2-13 Parameters of the app 
 
 
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3. Click "New KPI instance". 
 
Figure 2-14 Creating a new KPI instance 
 
 
4. Assign a name for the KPI (1), and select the typeless KPI instance (2) 
("Without KPI type (type less)"). Select a unit for the KPI (3), and define it with 
the formula editor (4). 
 
 
Note Section 2.1.3 shows you how to use the formula editor. 
 
Figure 2-15 Assigning the KPI instance parameters 
1
2
3
4
 
 
 
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2.1.3 Instructions for working with the formula editor 
The CREST factor KPI (KPI_CREST) is to be defined from the vibration variables 
aPeak and aRMS using the formula editor. 
CREST factor =
aPeak
aRMS
 
 
1. Click "Operand" in the formula editor. 
 
 
Figure 2-16 Formula editor 
 
 
Result: An operand field is provided. 
 
2. Manually enter the vibration variable "aPeak" in the generated operand field. 
 
Result: A second field is displayed where you can link the "aPeak" operand to 
the "aPeak" variable stored in MindSphere. 
 
3. Click "Find parameter". 
 
Figure 2-17 Linking an operand to a process value in the formula editor 
 
 
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4. Select "aPeak" and click "Choose". 
 
Figure 2-18 Selection of the process value 
 
 
5. Select "Last", for example. 
Figure 2-19 Selection of the aggregation 
 
 
6. Insert the division sign into the formula editor, and complete the formula. 
Follow the same procedure for "aRMS" as for "aPeak". Finish your entries with 
"Save". 
 
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Figure 2-20 Defining a KPI 
 
 
Result: The variables needed to generate the KPI and the KPI itself are now created. 
 
Figure 2-21 Process values and KPI are created 
 
 
7. Go to "General display options" (1), and click the gear icon (2) in the row of the 
KPI. 
 
 
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Figure 2-22 Editing mode for the KPI 
 
 
8. Assign a color for the display of the KPI (1), and define warning and alert limits 
(2). 
 
 
Figure 2-23 Specifying warning and alert limits for the KPI 
1
2
 
 
 
 
9. Go to "Diagram – Display options" (1), and finish with "Finish" (2). 
 
Figure 2-24 Finishing the KPI parameter assignment 
 
 
 
 
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2.1.4 Creating additional widgets 
You can now create additional widgets as shown in section 2.1.1. Figure 1-2 shows 
a "Gauge" widget and a "Value" widget for each of the vibration variables aPeak 
and aRMS and for KPI_CREST. The defined warning and alert limits allow 
undesired plant conditions to be detected quickly: 
Figure 2-25 Exceeding the warning limit for aPeak and the alert limit for aRMS 
 
 
Note The reason for the different values in the widgets for the same variables (e.g. 
"Gauge_CREST" = 6.11 and "Value_CREST" = 7.48) is the small time delays 
until the current value is displayed. 
 
 
3 Useful information 
 
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3 Useful information 
3.1 Aggregation 
You use an aggregation function to select which value is to be output for a variable. 
• You output the last read value with "Last". 
• The other functions allow you to determine summary information from the read 
values, such as the sum of all the read values. 
The following aggregation functions are available: 
 
Table 3-1 Aggregation functions 
Function Meaning 
Average Calculates the time-weighted average value of the read values. 
Min Outputs the smallest read value. 
Max Outputs the largest read value. 
Sum Adds all the read values 
Last Outputs the last read value. 
Counter The sum of the positive value changes between two points in 
time is output in each case. 
Timer The timer calculates the time interval in which the variable was 
not 0. Unit = milliseconds. 
EnergyToPower A consumption value can be converted into power. 
This aggregation function can only be selected in combination 
with the Energy and Counter acquisition categories. 
PowerToEnergy Power can be converted into a consumption value. 
This aggregation function can only be selected in combination 
with the Power acquisition category. 
AmountToFlow An amount (per hour) can be converted directly into a flow 
value. 
This aggregation function can only be selected in combination 
with the Amount and Counter acquisition categories. 
FlowToAmount A flow value (amount/h) can be converted directly into an 
amount value. 
This aggregation function can only be selected in combination 
with the Flow acquisition category. 
 
3 Useful information 
 
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3.2 Definitions for KIPs 
The acronym KPI stands for Key Performance Indicator. 
KPI types 
KPI types are formulas made up of operands, constants and operators. The 
definition and calculation of KPI types are plant-specific. 
KPI instance 
A KPI instance can be created as a type-based or typeless instance: 
• Type-based: The KPI instance is derived from a KPI type. 
• Typeless: The KPI instance is created independent of a KPI type. 
Relationship 
Figure 3-1 Relationship between KPI type and KPI instance 
KPI instance
KPI (typeless)KPI type
DirectInstantiated
Asset 1
Asset n
Assigned
 
 
The KPI types can be instantiated multiple times. When you make changes to the 
KPI type, these changes are also made in all the KPI instances. 
Each KPI instance must be assigned to an asset, but variables from other assets 
can also be linked to the KPI instance. 
4 Appendix 
 
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4 Appendix 
4.1 Service and support 
Industry Online Support 
Do you have any questions or need assistance? 
Siemens Industry Online Support offers round the clock access to our entire 
service and support know-how and portfolio. 
The Industry Online Support is the central address for information about our 
products, solutions and services. 
Product information, manuals, downloads, FAQs, application examples and videos 
– all information is accessible with just a few mouse clicks: 
support.industry.siemens.com 
 
Technical Support 
The Technical Support of Siemens Industry provides you fast and competent 
support regarding all technical queries with numerous tailor-made offers 
– ranging from basic support to individual support contracts. Please send queries 
to Technical Support via Web form: 
www.siemens.com/industry/supportrequest 
 
SITRAIN – Training for Industry 
We support you with our globally available training courses for industry with 
practical experience, innovative learning methods and a concept that’s tailored to 
the customer’s specific needs. 
For more information on our offered trainings and courses, as well as their 
locations and dates, refer to our web page: 
www.siemens.com/sitrain 
 
Service offer 
Our range of services includes the following: 
• Plant data services 
• Spare parts services 
• Repair services 
• On-site and maintenance services 
• Retrofitting and modernization services 
• Service programs and contracts 
You can find detailed information on our range of services in the service catalog 
web page: 
support.industry.siemens.com/cs/sc 
 
Industry Online Support app 
You will receive optimum support wherever you are with the "Siemens Industry 
Online Support" app. The app is available for iOS and Android: 
support.industry.siemens.com/cs/ww/en/sc/2067 
https://support.industry.siemens.com/
https://www.siemens.com/industry/supportrequest
https://www.siemens.com/sitrain
https://support.industry.siemens.com/cs/sc
file://///sv-file.msit-gmbh.local/dtp$/____PLUNET/5534539/01_preprocess/support.industry.siemens.com/cs/ww/en/sc/2067
4 Appendix 
 
Visualizing CMS parameters and KPIs in the Performance Insight app 
Entry-ID: 109782361, V1.0, 01/2021 26 
 
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4.2 Links and literature 
Table 4-1 
No. Topic 
\1\ Siemens Industry Online Support 
https://support.industry.siemens.com 
\2\ Link to this entry page of this application example 
https://support.industry.siemens.com/cs/ww/en/view/109782361 
\3\ Link Anwendungsbeispiel: "Monitoring of Machine Vibration Variables with a 
SIPLUS CMS1200 SM 1281 Condition Monitoring System" 
https://support.industry.siemens.com/cs/ww/en/view/109480750 
\4\ Link Anwendungsbeispiel: "Connecting a SIPLUS CMS1200 SM 1281 to 
MindSphere" 
https://support.industry.siemens.com/cs/ww/en/view/109750010 
\5\ 
 
 
4.3 Change documentation 
Table 4-2 
Version Date Modifications 
V1.0 01/2021 First version 
 
 
 
 
https://support.industry.siemens.com/
https://support.industry.siemens.com/cs/ww/en/view/109782361
https://support.industry.siemens.com/cs/ww/en/view/109480750
https://support.industry.siemens.com/cs/ww/en/view/109750010
	Visualizing CMS parameters and KPIs in the Performance Insight app
	Legal information
	1 Introduction
	1.1 Overview
	1.2 Principle of operation
	1.3 Components used
	2 Configuration and parameter assignment
	2.1 Precondition
	2.1.1 Creating a dashboard and the "Diagram" widget
	2.1.2 Defining and visualizing KPIs
	2.1.3 Instructions for working with the formula editor
	2.1.4 Creating additional widgets
	3 Useful information
	3.1 Aggregation
	3.2 Definitions for KIPs
	4 Appendix
	4.1 Service and support
	4.2 Links and literature
	4.3 Change documentation