- SIMATIC Performance Insight V1.17
- Preface
- What's new?
- Get to know Performance Insight
- Configuring the Performance Insight
- Adapting the app
- Configuring types
- Setting parameters
- Parameters in Performance Insight
- Displaying a parameter list
- Displaying current values of a parameter
- Editing settings for variables
- Editing settings for KPI instances
- Saving the values of a KPI in a variable
- "Activate notifications" for variables with numerical data type and KPI instances
- "Activate notifications" for variables of the data type "Bool" and "String"
- "Counter" acquisition category
- Aggregation functions
- Operation
- Presenting the productivity of a plant transparently (OEE analysis)
- Configuring a step time analysis
- Configuring multivariable regression
- Evaluating the production of individual batches
- Creating user-defined dashboards
- Creating a dashboard
- Structure of the dashboards
- Creating widgets
- Introduction to widgets
- Create a widget
- Visualizing correlations (Diagram)
- Visualizing values (Value)
- Visualizing machine statuses (Gantt)
- Visualizing the violation of limit values (gauge)
- Visualizing the distribution of consumptions or quantities (Pie chart)
- Visualizing the intensity of data values (Heatmap)
- Visualizing relationships in 3D (3D bars)
- Linking an image for presentation
- Preview a widget
- Working with widgets
- Widget views
- Adapting a user-defined dashboard
- Exporting and importing dashboards
- Analyzing data
- Creating reports
- Quality codes
- Appendix
- Preface
- What's new?
- Get to know Performance Insight
- Configuring the Performance Insight
- Adapting the app
- Configuring types
- Setting parameters
- Parameters in Performance Insight
- Displaying a parameter list
- Displaying current values of a parameter
- Editing settings for variables
- Editing settings for KPI instances
- Saving the values of a KPI in a variable
- "Activate notifications" for variables with numerical data type and KPI instances
- "Activate notifications" for variables of the data type "Bool" and "String"
- "Counter" acquisition category
- Aggregation functions
- Operation
- Presenting the productivity of a plant transparently (OEE analysis)
- Configuring a step time analysis
- Configuring multivariable regression
- Evaluating the production of individual batches
- Creating user-defined dashboards
- Creating a dashboard
- Structure of the dashboards
- Creating widgets
- Introduction to widgets
- Create a widget
- Visualizing correlations (Diagram)
- Visualizing values (Value)
- Visualizing machine statuses (Gantt)
- Visualizing the violation of limit values (gauge)
- Visualizing the distribution of consumptions or quantities (Pie chart)
- Visualizing the intensity of data values (Heatmap)
- Visualizing relationships in 3D (3D bars)
- Linking an image for presentation
- Preview a widget
- Working with widgets
- Widget views
- Adapting a user-defined dashboard
- Exporting and importing dashboards
- Analyzing data
- Creating reports
- Quality codes
- Appendix
Note on EU General Data Protection Regulation
Data protection
Siemens observes the principles of data protection, in particular the principle of data minimization (privacy by design). For the SIMATIC Performance Insight product, this means: the product processes/stores the following personal data: User name (first name and last name), email address, user role and app usage data (number of users, number of KPIs).
No private or intimate data is processed or stored.
The above data are required for the login, the billing function and for the internal user administration (administrator can see the role and the status of other users). The storage of data is appropriate and limited to what is necessary, as it is essential to identify the authorized operators. The data needs to be maintained manually by you and if necessary, these can also be deleted. If you need support, please contact customer support.
The above data will not be stored anonymously or pseudonymized, because the purpose (identification of the operating personnel) cannot be achieved otherwise.
The above data is protected against loss of integrity and confidentiality by state-of-the-art security measures.