Development Of IoT Based Monitoring And Life Management System For The Drainage Equipment In Mine

This paper is one of the important sub-topics of the major science and technology projects " Monitoring of Major Production Equipment for Coal Mine and Life Cycle Management System Development Based On Internet Of Things(No:20131101029)" in Shanxi province, also the inheritance and continuity in the transverse subject that Jincheng Anthracite Mining Group’s science and technology declaration projects "Development of Automation Monitoring System of Main Drainage Used In Coal Mine(No.20100819-2)". This paper mainly focus on issues that the automation of main drainage equipment is not widely used in coal mine of our country at present, main drainage pumps frequent wear and tear heavily,the health evaluation of the system cannot be given and so on. Mine main drainage equipment is one of the four major systems of coal mine, mainly to complete the important task of transporting the underground water and gushing water to the ground, which operation health status directly decides the safe production of coal mine. Currently, the automation of main drainage equipment is less used in most mine in our country, the main drainage equipment is still largely depending on the manual operation to complete the underground drainage task. And in the harsh underground working conditions, mine main drainage equipment conveys fluid medium intricately, which contains a large number of physical and chemical wear factor, resulting in that mine main drainage pump is easy to appear the impeller abrasion and other faults. That turns into a serious threat to the normal work of underground drainage. The Internet of things technology is one of the important contents of the study in industry at present, and our country also introduced a large number of policies to support the promotion and application of the Internet of things technology. Coal mine also adapts itself to circumstances as the pillar of the energy industry in our country, so a wide range of applications of the Internet of things technology is studied to solve the problems of coal mine safety. Therefore, it is very important in practical significance to apply the Internet of things technology in monitoring mine main drainage equipment, discover mine main drainage pump mechanical wear earlier, diagnoses and prognose the potential failure of the main drainage pump in mine, and assess its remaining life synthetically, which can provide reasonable suggestions for maintenance and replacement of equipment, reduces the maintenance cost of mine main drainage equipment to the most degree, and improves the reliability and safety of underground drainage work in coal mine.In this paper, the development and study trends of the Internet of things in coal of current China are deeply analyzed, and the existing results of the research on the Internet of things in coal are summarized, at the same time, it also points out the existing drawbacks of the Internet of things in China, which focus on "network layer", but ignore the actual situation of coal mine underground, resulting in the development of "perception layer" and "application layer" of the Internet of things progress slowly. Based on the above situation, this paper puts forward that the key point of the development of China’s Internet of things in coal mine in the present should be based on the comprehensive perception of equipment, combine the existing coal mine underground wired ring network and wireless network to tansmit data reliably, and dig hard for all mine personnel, equipment, environment and other large data information, which realize safe production and efficiency of optimization for the coal mine.According to the above ideas, this paper designs automation controlling system of main drainage in coal mine based on PLC, which is based on the drainage process of main drainage equipment. On the basis of the fault features of mine main drainage equipment, the condition monitoring sensor of mine main drainage equipment is arranged, and perception layer of the Internet of things is designed; the design of the Ethernet in the underground of the Internet of things data sharing mechanism based on OPC, to achieve reliable transmission of data; based on Lab VIEW and MATLAB, the host computer application software is designed, which is used as the "application layer" platform of the Internet of things.The life evaluation index of main drainage pump is proposed based on the characteristic curve of centrifugal pump, using Auto-Regressive and Moving Average Model(ARMA) to achieve the residual life assessment of mine main drainage pump, and the result of the simulation analysis based on the mathematical model of centrifugal pump is given.Based on the vibration signal and electrical signal, the fault diagnosis method of mine main drainage pump is studied, and the method of extracting the wear vibration signal characteristic of the mine main drainage pump impeller based on the Local Mean Decomposition(LMD) is proposed. At the same time, the use of Park transformation is used to solve the problem that the wear electrical signal characteristic of the mine main drainage pump impeller being overwhelmed by the fundamental wave. The simulation analysis is given founded on the mathematical model of fault features combined with vibration signal and electrical signal.The design of the life testing platform of mine main drainage equipment is founded on the bicirculating measurement isolation pipeline, which is the basis of the physical fault simulation test of the mine main drainage pump in the laboratory. The bicirculating pipeline structure is put forward, which solves the problems of pipeline blockage and sensor wear.On the test platform, the artificial impeller wear breakdown test is carried out for achieving the data of the fualt centrifugal pump’s vibration, current, characteristic curve and other test data, and then using the algorithm analyze the data. the The experimental results show that the LMD algorithm can effectively extract the fault characteristics of the impeller wear vibration signal, and realize the fault diagnosis of the mine main drainage pump. Electrical signal through the Park transformation can solve the problem of being overwhelmed by the fundamental wave. The use of frequency range energy computational rule can effectively diagnose the wear fault of the mine main pump impeller.