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Zhejiang Canaan Technology Co., Ltd
How to achieve predictive maintenance and fault prevention of equipment?
Date: 2025-11-08Read: 0
Have you encountered the following situations?
Production is booming, but equipment suddenly shuts down, causing the entire production line to be abandoned
The equipment broke down and it was discovered that the inspection plan had already been put on hold
The maintenance personnel are exhausted, but the problem still recurs repeatedly
These problems actually stem from a typical management approach:Passive MaintenanceRepairing equipment only after it breaks not only delays production, but also increases maintenance costs and accident risks.
So, can weDid you detect that the device was going to have a problem before it did?
Now, we can do it!
C· What is predictive maintenance? A leap in management logic
Predictive Maintenance (PdM)It is an intelligent maintenance method based on data. It precisely intervenes before equipment malfunctions by monitoring device operating status, analyzing key parameter trends.
Simply put, it transforms businesses from "firefighting" to "fire prevention".
C· How to achieve predictive maintenance? The key is to do these 3 steps well
☆ Data collection: Mastering "health indicators"
Devices, like humans, also have "body temperature" and "pulse":
▪ vibration value
▪ Temperature and current
▪ Pressure, operating time
These data are collected through sensors, PLCs, or IoT gateways and uploaded in real-time to the system backend.
☆ Health assessment: Identifying risk trends based on AI algorithms
The system analyzes and models the collected data:
▪ Benchmark comparison method: comparing with historical operating status
▪ Trend algorithm: Determine whether data deviates from the normal trajectory
▪ Threshold monitoring: triggering an alarm upon exceeding the limit
☆ Abnormal warning: take action before the fault occurs
▪ Abnormal data triggers system warning
▪ Automatically push to the maintenance manager/team leader
▪ Can generate maintenance work orders through linkage and arrange for processing in advance
The entire process is closed-loop to prevent sudden shutdowns to the greatest extent possible.
C· How can our device management system help you achieve predictive maintenance?
Our system integrates full process support such as device operation monitoring, data analysis, intelligent warning, and automatic triggering of work orders, helping customers easily achieve predictive maintenance implementation.
System highlights include:
Real time data accessSupport Modbus, OPC, MQTT and other protocol docking
Trend analysis moduleBuilt in multi-dimensional parameter monitoring and alarm settings
√ Health scoring mechanismMastery of Equipment Status Diagram
√ Warning work order linkageAutomatic conversion of fault warning to maintenance task
√ Compliance traceability support: Leave a trace of the entire process every time, meeting GMP/FDA requirements
Prevention in advance is better than patching up after a sheep is lost
How much trouble can we save if we can know in advance that the equipment will break down? Predictive maintenance is not about the future, but about the present. It is a symbol of modern equipment management in enterprises, as well as a powerful tool for reducing costs, increasing efficiency, and operating in compliance.
Predictive maintenance has been achieved, and spare parts management cannot be compromised——Next article discusses how to control "hidden costs" effectively.