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From: WideIOT
Time:2026-01-12 10:26:35
Coating machines, as efficient and automated production equipment, have brought significant economic benefits to enterprises.
However, with the continuous expansion of production scale, the operational data of coating machines has become increasingly abundant, making traditional manual recording and monitoring methods inadequate for meeting the management needs of modern enterprises. Therefore, establishing an efficient, stable, and reliable data collection, monitoring, and operation & maintenance system for coating machines is of great significance for improving enterprise production efficiency, reducing operation & maintenance costs, and ensuring product quality.In response to this, WideIOT provides a PLC-based data collection monitoring and operation & maintenance management system for coating machines.
This system achieves data collection and remote monitoring by connecting to the PLC of coating machines through industrial smart gateways, enabling intelligent early warning and remote control of coating machine parameters such as voltage, current, pressure, and temperature. Additionally, it offers intelligent means such as remote maintenance and data analysis to assist enterprises in strictly managing and controlling coating production processes, thereby maintaining a safe and stable production order.
Functional Characteristics
System Advantages
Real-time Performance: Enables real-time monitoring of coating machine operational status and process parameters, promptly detecting abnormalities to avoid product quality issues and equipment failures.
Convenience: Provides remote control and maintenance operations for PLCs, enabling remote start/stop, remote programming and debugging, and remote program uploading and downloading.
Intelligence: Utilizes big data analysis and artificial intelligence technologies to achieve intelligent monitoring and operation & maintenance management of coating machines, reducing labor costs and improving production efficiency.
Scalability: The system boasts excellent scalability, allowing flexible addition or reduction of connected devices, functional modules, and monitoring platforms based on changes in enterprise production scale.






