Industrial robot remote monitoring diagnosis system and method based on 5G

Abstract

The invention discloses an industrial robot remote monitoring diagnosis system and method based on 5G, and the system comprises a 5G industrial intelligent gateway, a cloud server, a diagnosis terminal, and an industrial control computer, and a main controller of an industrial robot is connected with the industrial control computer. When the industrial robot works, the main controller of the industrial robot sends real-time data to the industrial control computer through a ModbusTCP protocol. The 5G industrial intelligent gateway sends a data request to the industrial control computer in a polling mode and collects robot real-time operation state data in the industrial control computer in real time through an MQTT protocol, and the 5G industrial intelligent gateway sends the collected operation state data of the industrial robot to the cloud server. The diagnosis terminal obtains the operation state data of the industrial robot by accessing the cloud server and is used for monitoring and / or diagnosing according to the data. The key data of the robot is monitored on line in real time, the monitoring data can be conveniently and remotely obtained, and robot fault diagnosis and analysis are facilitated.

Description

technical field [0001] The invention relates to the field of robot fault monitoring and diagnosis, in particular to a 5G-based remote monitoring and diagnosis system and method for industrial robots. Background technique [0002] Nowadays, industrial robots mostly work in the form of workstations or production lines, and the establishment of a production line requires a lot of money and debugging time. The industrial robotics business is dependent on a reliable, continuous production process, and every minute of downtime is extremely costly, with any downtime immediately resulting in lost productivity and revenue. Once the line is completed, the user manufacturers are extremely unwilling to see production stoppage due to equipment failure, resulting in very large economic losses. However, industry research shows that downtime of industrial robots still occurs frequently, and almost every factory will lose at least 5% of its production capacity due to downtime, and many fact...

AI Technical Summary

Problems solved by technology

[0002] Nowadays, industrial robots mostly work in the form of workstations or production lines, and the establishment of a production line requires a lot of money and debugging time

The industrial robotics business is dependent on a reliable, continuous production process, every minute of downtime is extremely costly, any downtime immediately results in lost productivity and revenue

Once the line is completed, the manufacturer is extremely unwilling to see the production stoppage due to equipment failure, which will cause very large economic losses.

However, industry research shows that industrial robot downtime still occurs frequently, and almost every factory will lose at least 5% of its production capacity due to downtime, and many factories will lose up to 20%

The traditional maintenance service mode is to organize personnel to conduct on-site diagnosis and maintenance after the fault occurs, which takes a long time and costs high

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