Remote Monitoring Application Solution for Industrial Robot Arms

As science and technology continue to advance and industrial upgrading moves forward in our country, the application of robots in manufacturing and transportation industries has become increasingly widespread. Industrial robots have complex structures and high maintenance costs. The current state of the robotics industry places higher demands on the product quality and service capabilities of industrial robot manufacturers.

The weakening of labor cost advantages due to aging population and rising wages, the shift towards "smart manufacturing" driven by industrial policies, leading edge technologies, and the arrival of the era of total networking; automated equipment can effectively improve production efficiency and reliability, reduce reliance on manual labor during production, and therefore are widely used in all sectors of the national economy.

The stability and reliability of industrial robots and robotic arms on the production line are of great significance for ensuring stable production and economic benefits for enterprises. In view of this situation, based on Internet of Things technology, the status and alarm information of industrial robots can be transmitted to the data monitoring center for remote monitoring and fault diagnosis. Problems can be discovered and faults can be quickly resolved, which is of great importance in modern industrial production.

 Application Introduction

Through 4G wireless communication technology, monitoring data and business data of energy storage systems can be collected through interfaces such as RS485 and Ethernet to achieve remote monitoring of status information. At the same time, the gateway can autonomously collect business data of the energy storage system; The edge computing function library files are built into the gateway box. The collected data is calculated and filtered locally and the result data is reported to the cloud. At the same time, the status data of industrial robots is regularly reported to the platform so that the platform can understand the operation of the machines in real time and remote maintenance functions are also implemented.