Basic Data Collection#
Estimated time to read: 3 minutes
A Basic Data Collection consists of Parameters and a Data Collection.
In our example of the production of cookies and the capture of their measurement data, we will be using the following Parameters:
Parameters#
A Parameter is an object which is used to define reusable objects for Data Collection, KPI, SPC, Recipe, Product, and Product Group.
A Parameter also provides an abstraction to Resource specific variable names which have the same meaning at the MES/human level.
For more information, see Create Parameter and Return Multiple Values.
Let's begin by creating the two Parameters we need because we want to have data on the diameter and thickness of our Material:
- Cookie Diameter
- Cookie Thickness
Remember that each Parameter can be validated against a defined set of limits - Data Collection with Limit Set.
Note
The Type for the Parameter is defined in the ParameterType lookup table, and the Units in the Units lookup table.
For mass Parameter creation, the suggested approach is through Master Data Packages upload.
Data Collection#
At this point we can create the Data Collection and include all the necessary information. As Data Collections are versioned objects, we will have to Create Change Set or use one we already have.
For more information, see Change Set.
Since we want to explore the Classic and Modern Data Collection, we will create two Data Collections, which we will later use to post data.
When creating the Data Collections, both Classic and Modern, in the Parameters step, the following information was entered:
- Cookie Diameter
- Cookie Thickness
Info
The only difference in the configuration above is that for the Cookie Diameter there is one reading per sample, whereas for the Cookie Thickness there are two readings per sample.
Additionally, for the purpose of this Data Collection tutorial, in the Calculation section, we configured it to have an average of all the values for each Parameter.
Here are the Details pages of the created Data Collections:
For more information, see Create Data Collection and explore the Optional Features menu.










