[Case Study] Operating Rate Monitoring System / Metal Parts Press Machine (Molding Processing)

The epitome of "Monozukuri IoT" systems: Operational Rate Monitoring System!

Detects the movement of molds in metal parts forming press machines and calculates the operating status. Sensors were installed on old press machines to digitize them. ◆ Applicable Products - Ideal IoT System ◆◆ Features - Detects the up and down movement of the mold and converts it into shots per minute (SPM). - Since it counts the up and down movement of the mold, it is an easy-to-understand system. - Detects the presence or absence of metal part materials, distinguishing between stops due to material shortages and abnormal stops. - Stable data collection is possible even in factories with a high presence of metal objects thanks to LoRaWAN. - Data is automatically accumulated in Google Spreadsheet, and graphs are displayed. ◆◆◆ Effects - Automatically records and visualizes operating status data. - Allows you to know the condition of press machines located far from the office. - Digitized even old press machines that lack communication functions. - Data is accumulated in Google Spreadsheet (equivalent to Excel), making data reuse easy. - This example is an application case for press machines using molds, and it can be applied to equipment with periodic motion components.