Deep mining ventilation intelligent perception and remote unified control system

Abstract

The invention provides an intelligent sensing and remote and unified regulating system for deep-mining mine ventilation. The intelligent sensing and remote and unified regulating system is mainly composed of intelligent sensing equipment, a PLC control cabinet (3), a middle-layer optical fiber ring network (18), a ring network exchanger (17) and an industrial personal computer (19). The PLC control cabinet (3) is provided with an analog input terminal (4), a frequency converter (12), an analog input module (13), a communication module (14) and a CPU module (15), wherein the analog input terminal (4) is connected with the intelligent sensing equipment through a cable, the frequency converter (12) is connected with a ventilation motor (2) and can automatically acquire operation parameters of the motor, and then the frequency converter is communicated with the industrial personal computer (19) of an upper-layer monitoring terminal through the CPU module, the communication module, the analog input module, the middle-layer optical fiber ring network and the ring network exchanger. The intelligent sensing and remote and unified regulating system is strong in expansibility and improves the unified regulating efficiency and the real-time controlling and optimizing capacity to multiple fans in deep-mining mines.

Description

technical field [0001] The present invention relates to the technical field of remote intelligent perception and safety protection control of ventilation in deep mining mines. The core technical points lie in the design of intelligent perception and remote unified control system for ventilation in deep mining mines, real-time sending of remote commands and intelligent collection and processing of monitoring data . Background technique [0002] As the depth of mining increases year by year, the management and control of the ventilation system becomes more and more complicated. So far, strengthening mine ventilation is still an effective way to solve the problem of high temperature in deep mining. Based on sensor technology, virtual instrument technology and Internet of Things technology, taking mine fan as the research object, using LabVIEW programming technology, PLC technology and mine ventilation optimization theory, the mine ventilation intelligent perception and remote ...

AI Technical Summary

Problems solved by technology

At present, there is a lack of efficient technical means to monitor the status of the ventilation system of the whole mine. Generally, manual detection and local control by the operator are used to detect the air volume and wind pressure of the main ventilation roadways and wind locations of the whole mine every ten days. The disadvantages of manual detection are mainly manifested in: ①It is greatly affected by the subjectivity, and the accuracy will have small deviations due to different people's measurement; ②It requires a lot of manpower to carry out on-site measurement, which is slow, inefficient, and long in cycle, which is not conducive to the enterprise's control of manpower The detection cost cannot meet the needs of the current construction; ③Manual on-site monitoring reads the concentration parameters of toxic and harmful gases, there is a certain risk; ④Manual measurement, the safety of the site is difficult to grasp well, and the general monitoring items are single, It is impossible to fully grasp the ventilation status of each underground tunnel in real time, and it is difficult to realize real-time processing and feedback of data; ⑤ related hidden dangers cannot be discovered in time, and the local regulation of the fan after discovery is not timely, which will affect the lives of mine personnel and safe production. Potential hazards are caused; ⑥The monitoring and data analysis of a single type of sensor is not scientific enough, and a single type of sensor forms a set of systems, it is difficult to realize real-time sharing and analysis of multiple types of sensor data monitoring, and it is impossible to realize multi-condition real-time alarm

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