Risk monitoring method based on IOT technology in textile industry

Abstract

The invention discloses a risk monitoring method based on the IOT technology in the textile industry, which comprises an IOT module, a big data platform and a risk control system, and is characterized in that the IOT module is in communication connection with the big data platform, and the big data platform is in communication connection with the risk control system. According to the risk monitoring method based on the IOT technology in the textile industry, data are collected through IOT, key indexes are analyzed according to different dimensions by using a big data platform, and finally risk early warning is performed on an analysis result, so that the purposes of risk analysis and risk early warning are achieved; the factory improves the production efficiency through the IOT, and the risk management department can evaluate the operation condition of the factory through the data of the IOT, thereby reducing the offline communication cost, and improving the response efficiency.

Description

technical field [0001] The invention relates to the technical field of production and operation supervision of industrial enterprises, in particular to a risk monitoring method based on IOT technology in the textile industry. Background technique [0002] The production and operation of industrial enterprises are based on supply chain services, and provide corresponding services for upstream and downstream through data integration capabilities. The production plant can reduce capital occupation and improve the ability to undertake orders through the evaluation of the operation status of the enterprise. The main dimensions include the analysis of production plant operations. Before the development of IOT (Internet of Things) technology, industrial enterprises could not monitor the production and operation status of equipment in real time, and could not timely alarm when the output was abnormal. There was a lack of comprehensive analysis and unified management of real-time da...

AI Technical Summary

Problems solved by technology

Before the development of IOT (Internet of Things) technology, industrial and enterprise production could not monitor the production and operation status of equipment in real time, and could not report in time when the output was abnormal, lacked comprehensive analysis and unified management of real-time data, weak management, and could not evaluate the factory Production capacity, revenue situation, unpredictable production and operation risks of enterprises

[0003] At present, in the textile system on the market, there is no product that can be referred to based on the combination of IOT (Internet of Things) risk monitoring software and hardware, but manual monitoring and analysis are time-consuming and laborious for the risk control management department

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