Textbook on Equipment Monitoring for the Manufacturing Industry
A free technical document summarizing the basic knowledge of IoT and remote monitoring that supports predictive maintenance in manufacturing sites.
In the manufacturing industry, the importance of predictive maintenance is increasing to prevent unexpected equipment failures and maintain productivity. In particular, understanding operational status in real-time and detecting early signs of abnormalities is essential for reducing downtime and optimizing maintenance costs. This document provides a visual explanation of the mechanism from data acquisition to visualization for maintenance personnel considering the IoT implementation and monitoring systems for existing equipment. 【Usage Scenarios】 - Remote monitoring of manufacturing line operational status - Consideration of predictive maintenance through early detection of equipment abnormalities - Visualization through the introduction of sensors and PLCs to existing equipment 【Benefits of Implementation】 - Understanding the basic structure and mechanism of equipment monitoring systems - Securing technical materials for IoT implementation - Establishing a rapid maintenance system through abnormal notifications
basic information
【Features】 - Comprehensive knowledge of equipment monitoring and remote monitoring - Explanation of data acquisition methods using DI/AI, sensors, and PLCs - Presentation of the basic structure of LTE communication and closed networks - Explanation of the mechanisms for cloud monitoring and anomaly notifications - Listing of implementation costs and design checkpoints 【Our Strengths】 MI Corporation handles devices and equipment centered around IoT/M2M technology. By enabling information exchange between devices via networks, we propose systems that collect and control data without human intervention, contributing to improved operational efficiency and reduced labor costs.
Price information
Downloading technical documents is free. The cost of implementing the monitoring system varies depending on the monitoring targets, equipment configuration, communication methods, and development scope.
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Textbook on Equipment Monitoring | MI Corporation
Applications/Examples of results
【Purpose】 ■ Remote monitoring of factory equipment operation status and abnormalities ■ Visualization of pump and water treatment equipment operating conditions and measurement values ■ IoT implementation of equipment using existing PLCs and sensors ■ Notifications via email and other means in case of equipment abnormalities ■ Centralized management of equipment installed at remote locations ■ Update of communication methods for existing monitoring systems 【Target Audience】 Equipment management and maintenance personnel, manufacturing engineers, production engineers, factory DX promotion personnel, system design and development personnel 【Published Examples】 Includes anonymous monitoring configuration examples based on factory equipment and social infrastructure equipment.
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Our company handles devices and equipment centered around IoT/M2M technology. By enabling devices and equipment connected to a network to exchange information with each other through the network, it is possible to directly collect and control data from the devices and equipment without human intervention. This significantly contributes to improving operational efficiency, environmental protection, and reducing labor costs.