Support for predictive maintenance in the mainstream promotion of IoT in the manufacturing industry.
We will support the approach to predictive maintenance using IoT.
The utilization of IoT for maintenance can be summarized as follows: 1. Equipment Operation Management The goal is to record and collect actual data as a history of the operating status of equipment and lines, linking it to the necessity for general periodic maintenance and the replenishment of consumables. 2. Equipment Maintenance Support To carry out maintenance activities, it is essential to record information about the environment and the processes or operations that have taken place. IoT is utilized for data collection during the preparatory phase of such maintenance activities and for monitoring critical parameters, which are then reflected in the management of regular maintenance (daily maintenance conducted by production departments and periodic maintenance conducted by equipment maintenance departments). 3. Equipment Failure Monitoring (Detection) It detects any troubles such as delays in production processing, equipment stoppages, power outages, or delays in materials and consumables, and communicates this to the monitoring center to initiate repair instructions. At that time, a preliminary diagnosis is summarized and communicated before maintenance personnel arrive, thereby reducing the time required for the diagnostic process. 4. Equipment Failure Prediction It detects precursor data from past troubles (such as vibrations, unusual noises, temperature anomalies, etc.) and evaluates the likelihood of future troubles occurring (automatically assessed by IoT), sending alert information to the monitoring center.
- Company：PEC-KUMATA 生産技術コンサルタント
- Price：Other
