Intelligent anti-falling monitoring system for high-place operation and working method thereof

Abstract

The invention relates to an intelligent anti-falling monitoring system for high-place operation and a working method thereof. The system comprises a plurality of intelligent front-end field sensing devices, a background intelligent analysis server platform and a user terminal. The plurality of intelligent front-end field sensing devices are respectively in communication connection with the background intelligent analysis server platform and are used for executing a monitoring instruction sent by the background intelligent analysis server platform and packaging and transmitting acquired monitoring data to the background intelligent analysis server platform for data analysis, processing, storage and statistics; and the user terminal is in communication connection with the background intelligent analysis server platform and is used for enabling a worker of a safety supervision department to log in the background intelligent analysis server platform through the user terminal, monitoring the condition of an operation site in real time, receiving abnormal condition early warning, realizing operation closed-loop management and control and periodically retrieving a background big data statistical report according to requirements. The safety supervision efficiency is improved, and the practicability is high.

Description

technical field [0001] The invention relates to the field of industrial production, in particular to an intelligent anti-drop monitoring system for working at heights and a working method thereof. Background technique [0002] At present, in the industrial field, daily and emergency operations often involve high-altitude operations in a small space. The active area of ​​high-altitude operators is often tens to hundreds of meters long, and the width is only a few meters. The area is small and difficult to accommodate other workers. For other personnel, there are safety risks in the operation and lack of supervision, so it is difficult to carry out the supervision work; at the same time, the time for emergency operations is often not fixed, which brings a series of difficulties to the safety supervision and protection work of high-altitude operations; The country attaches more and more importance to production safety, and the safety supervision work on the production site has ...

AI Technical Summary

Problems solved by technology

[0002] At present, in the industrial field, daily and emergency operations often involve high-altitude operations in a small space. The active area of ​​high-altitude operators is often tens to hundreds of meters long, and the width is only a few meters. The area is small and difficult to accommodate other workers. For other personnel, there are safety risks in the operation and lack of supervision, so it is difficult to carry out the supervision work; at the same time, the time for emergency operations is often not fixed, which brings a series of difficulties to the safety supervision and protection work of high-altitude operations; The country attaches more and more importance to production safety, and the safety supervision work on the production site has increased year after year; the existing safety supervision work relies heavily on traditional methods, the supervision manpower is obviously insufficient, the safety supervision and prevention perception tools and equipment are single, and the intelligent preventive measures are insufficient; Moreover, the existing security protection systems lack linkage and cooperation with each other, and there are a lot of information island problems, etc.

[0003] At present, the mainstream fall prevention safety measures for industrial plants rely on traditional lockable wooden doors and safety belt warning signs. Such traditional on-site safety facilities do not have active safety control, external communication capabilities, and background analysis functions. It is difficult for security supervisors to conduct real-time supervision in the background, and it is difficult for security supervisors to perform real-time supervision on the personnel entering the area, which has been unable to adapt to new security standards and intelligent monitoring requirements

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