Cement factory sensor data is checked once every two hours, and analog data is processed manually without any real-time data measurements. Users are not able to check on real-time flow conditions or intermediate process status.
Experimental data was stored in the existing in-memory database, but real-time monitoring of ‘quality’ data changes (grade changes) for each process step was difficult due to the characteristics of the relational database.. The key requirement was to increase the data precision by increasing the acquisition cycle from 15 minutes to a second.
Effect of application
Customer implemented a time series database (Machbase) and dashboard capable of real-time continuous processes monitoring of ‘quality’ aggregation data. Allowing the customer to collect‘ quality’ or grade data of raw material (i.e. limestone) in seconds. In addition, by using the ‘sampling’ results based to data quantity and grade changes data, the customer was able to monitor specific equipment status along with process data at any time point of time along the entire line.