Configuring Fields: Data Slicing Rules

Configuring Fields: Data Slicing Rules

This guide outlines the steps to configure various fields when creating a data slicing rule.

Fields
Description
Rule Type
Options:

Location Property

Module Property
Name
A label to identify the data slicing rule
Description
Information about the data slicing rule

Location Property

The location property enables data filtering based on the location associated with each instance. This location must be specified in the "Located At" field.

Level of access

While creating a rule using the location property, you can choose from three levels of access.
  • Complete Access: Full access to data from the location and its associated instances.
  • Reference Access: No access to the data from the location and its associated instances, but the location and the instances will be displayed in the hierarchy view.
  • No Access: No access to the data from the location and its associated instances. Also, the location and the instances will be hidden from view.


Module Property

Module Property filters data based on the various fields available for a managed entity.

First, the module/model for which the rule is to be applied is selected. Then, it is further filtered using a field and its values.


Multiple filters can be added to a single criteria for more specific data slicing. New filters are created by clicking the + icon at the end. You can create upto 10 filters for a single criteria.




A filter can be removed by clicking on the - icon.

The logic between the criteria filters can be edited between AND or OR by clicking on the required option.


The pattern of relation ship between the changed by clicking the Edit option.


New criteria for the same rule can be added by clicking on Add Criteria. Upto five criteria can be added for a single module property rule.

A single rule can accommodate multiple module/models, but each can be utilised only once. For the example above, you will not be able to select Energy Meters for another criteria in the same rule.

A criteria can be deleted by clicking on the delete icon.

Custom fields as required by the user can be added to a model using the field builder. This will then be available for selection in the filter.

Example for using the Data Slicing Rule

To demonstrate how data slicing can be used in the application, let us consider the following example.

A company is responsible for monitoring solar fields at locations in New York, Washington, and Chicago. Details about each solar field are tabulated below.

Location
Number of Fields
Manufacturer of panels
Parameters Monitored
New York
8
First Solar
Current Produced, Panel Temperature, Atmospheric Temperature
Washington
12
Jinko Solar
Current Produced, Panel Temperature, Atmospheric Temperature
Chicago
4
First Solar
Current Produced, Panel Temperature, Atmospheric Temperature
6
Jinko Solar
Current Produced, Panel Temperature, Atmospheric Temperature
 
There are six personnel accessing the IoT application for monitoring. Their designation and functions are tabulated below.

User
Role
Function
Requirement
Adam
Manager
Responsible for managing all 30 solar fields
Access to data from all the solar fields
Mark
New York In-charge
Responsible for managing the solar fields in the New York region.
Access to data only from the solar fields in New York
Smith
Washington In-charge
Responsible for managing the solar fields in the Washington region.
Access to data only from the solar fields in Washington
Steve
Chicago In-charge
Responsible for managing the solar fields in the Chicago region.
Access to data only from the solar fields in Chicago
Jones
Jinko Technician
Responsible for maintaining and servicing Jinko Solar Panels.
Access to data only from the solar fields with panels manufactured by Jinko Solar
Tom
First Solar Technician
Responsible for maintaining and servicing First Solar Panels.
Access to data only from the solar fields with panels manufactured by First Solar
 
To meet the requirements the following Data slicing rules are created and associated with the corresponding users.

Rule Name
Rule Type
Criteria
Associated User
New York
Location Rule
  • Reference Access for America
  • No Access for Washington and Chicago
  • Complete Access for New York
Mark
 
 
 
Rule Name
Rule Type
Criteria
Associated User
Washington
Location Rule
  • Reference Access for America
  • No Access for New York and Chicago
  • Complete Access for Washington
Smith
 
 
Rule Name
Rule Type
Criteria
Associated User
Chicago
Location Rule
  • Reference Access for America
  • No Access for New York and Washington
  • Complete Access for Chicago
Steve
 
 
Rule Name
Rule Type
Criteria
Associated User
Jinko Solar
Module Property
  • Module: Solar Panel
  • Field: Manufacturer
  • Operator: is
  • Value: Jinko Solar
Jones
 


Rule Name
Rule Type
Criteria
Associated User
First Solar
Module Property
  • Module: Solar Panel
  • Field: Manufacturer
  • Operator: is
  • Value: First Solar
Tom
 


The Dashboard as seen by each user is displayed below.

Adam

Data from all the 30 solar fields.



Mark

Data from the 8 solar fields in New York.



Smith

Data from the 12 solar fields in Washington.



Steve

Data from the 10 solar fields in Chicago.



Jones

Data from the 18 solar field with panels manufactured by Jinko Solar.



Tom

Data from the 18 solar fields with panels manufactured by First Solar.



See Also
Adding and managing data slicing rules

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