Manufacturing processes typically are in place for quite some period of time, often months if not years. During this time changes in process can occur and the use of IoT collected data can be highly valuable to determining the impact of the change. Let’s consider our stamping operation again. We have been producing a specific part on the line for months and have collected significant data. We can use analytics and trend charting and reporting to see if things are changing. Perhaps we change steel vendors. The QC department checks the new vendor and inspects the steel and approves it based on characteristics of the steel. We now are producing for a short period and notice our data coming from the stamping press as to average stroke tonnage has increased. We also see that the motor current and power consumption has increased. If we have analysis tools and charting over long periods we can spot this increase as a trend. Perhaps we need to determine if the new vendor’s steel has some property that has caused this outcome. Again, we must have in-context data being logged at high rates that is logged to a database for longer term trending an analysis. Charting that is flexible will allow users to create charts in the formats that are best suited for their needs is highly desirable.
Bottom line – collection of data without the ability to capture and retain the data for long term analysis and charting will not provide the optimal use of Industrial IoT data. IoT systems with integrated data logging, charting and analytics are highly desirable so to provide a complete long term view of the production process.
As you can see, the need to have an IoT system that is designed and specialized for industrial machine integration, data aggregation, information presentation and analysis. Also, the need to have a vendor that has its roots in manufacturing, who has worked with production processes in areas such as ERP, data collection, SCADA, MES and PLC devices is required for successful manufacturing IoT project outcomes.
Learn more about IoT in Manufacturing at www.Godlan.com