Shandong Meian mining equipment Co
, Ltd
supplies life cycle health management of important coal mine equipment, on-line monitoring and fault intelligent diagnosis of large equipment, on-line monitoring of motor bearing temperature of coal mine electromechanical equipment, on-line monitoring of motor bearing vibration of coal mine electromechanical equipment, hoist brake shoe clearance protection device, driverless electric locomotive, trackless rubber tyred vehicle stall protection device Remote automatic control of hoist water pump air compressor fan, unattended, on-line monitoring of vibration temperature, on-line monitoring of operation status of large electromechanical equipment in coal mine and intelligent fault diagnosis
Equipment overview for coal mining enterprises, it is difficult to monitor the operation status of underground mechanical and electrical equipment in coal mines manually, and there is a great possibility of problems in underground mechanical and electrical equipment in coal mines in the monitoring process
Therefore, it is of certain practical significance to study the development of monitoring system of Internet of things for underground mechanical and electrical equipment in coal mines
The coal mine air compressor remote centralized joint control system, coal mine belt conveyor remote centralized control system, coal mine water pump room automatic remote centralized control unattended system, overhead passenger device (monkey car) visual monitoring system, fan on-line monitoring automatic start and stop and other automatic control systems developed by our company use PLC technology to automatically control the operation of the equipment, Carry out real-time monitoring and monitoring of various state parameters in operation, timely provide alarm information in case of problems, realize real-time scheduling and monitoring of production scheduling, provide guarantee for improving underground safety production efficiency, and also realize remote centralized control and unattended of belt system, air compressor system, overhead passenger device, working face system and pump house automation system, So as to achieve the purpose of reducing staff, increasing efficiency and safe production
Life cycle health management of important coal mine equipment and on-line monitoring and fault intelligent diagnosis of large equipment
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The comprehensive monitoring system for the operation status of coal mine electromechanical equipment can monitor the operation status of equipment, comprehensively analyze the operation parameters of various components of different equipment, obtain the health status of equipment based on big data and multi parameter fusion analysis technology, conduct secondary mining and analysis of relevant data, and identify complex faults and potential safety hazards in the process of equipment operation
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Signal characteristic analysis and fault diagnosis of coal mine electromechanical equipment Dingwei system collects the vibration acceleration signal of equipment, analyzes the fault characteristic frequency in real time, automatically identifies the fault type, severity, and other information, and displays the diagnosis and analysis results with local alarm, so as to determine the typical fault of equipment and get rid of the dependence of equipment fault analysis and diagnosis on personnel
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The coal mine electromechanical equipment health status management system records the equipment operation parameter information, and carries out big data intelligent analysis to intelligently judge the safety and reliability of equipment operation and component loss
Intelligently evaluate the health status of the equipment from the operating time, startup and shutdown times and load of the equipment, combined with the information related to the design life of the equipment, so as to provide scientific management basis for reasonable maintenance of the equipment, optimization of spare parts warehouse
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Cloud access and remote diagnosis adopt the cloud data storage function to automatically upload real-time data to the cloud platform (client open interface is required)
The cloud server supports mobile terminal app access and real-time push of alarm information
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The system has its own remote assistance module and network interface
When the equipment fails or the operator needs help to set parameters, just connect the equipment to the network, and our engineers will remotely diagnose the equipment failure or set parameters
On line monitoring of motor bearing temperature of electromechanical equipment in coal mine
On line monitoring of motor bearing vibration of coal mine electromechanical equipment
1 underground electromechanical equipment of coal mine and its technology of Internet of things
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1 types of underground electromechanical equipment in coal mine
Underground electromechanical equipment of coal mine mainly includes shearer, electric locomotive, hydraulic support, ventilator and pressure transformation equipment
The complexity of underground electromechanical equipment in Coal Mine determines the difficulty of monitoring
The monitoring system of Internet of things should fully consider the characteristics of electromechanical equipment for development and design
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2 Internet of things technology of underground electromechanical equipment in coal mine
The Internet of things technology of underground electromechanical equipment in coal mine integrates the corresponding network technology, communication technology and control technology
It ensures the stability and safety of electromechanical equipment operation under coal mine through real-time transmission of equipment operation status in various forms such as data and video
In addition, the technology of Internet of things can also use the control center to analyze the operation data of electromechanical equipment monitored in the monitoring process, and effectively control the equipment in combination with the analysis results
The of the Internet of things for underground electromechanical equipment in coal mine mainly includes the following three parts
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1 perception layer
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2 management
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3 control layer
The control function of the control layer to the underground electromechanical equipment of coal mine is realized through wireless network
The control layer mainly includes network interface technology, automatic control technology and intelligent computing technology
2 monitoring system of Internet of things for underground electromechanical equipment in coal mine
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Functions of the monitoring system of the Internet of things for underground electromechanical equipment in coal mine
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4 diagnosis and remote monitoring functions
4 application test of monitoring system of Internet of things
1、 The device can realize automatic operation, intelligent dispatching, remote control and unattended of electromechanical equipment
And it can monitor and display the temperature parameters, vibration parameters and other operating parameters of coal mine electromechanical equipment in real time
2、 The device is equipped with multi-channel vibration and temperature monitoring sensors
The vibration, temperature, pressure, transportation volume, air volume, load capacity, voltage, current, electric quantity and other operating parameters of the equipment are collected through various sensors
After PLC analysis and processing, the data are uploaded to the ground upper computer
Combined with the work tasks, the dispatcher can remotely control the equipment on the upper computer;
Equipment function 6 Automatic operation and unattended operation of water pump fan air compressor belt conveyor 7 On line monitoring and over limit alarm of motor temperature of water pump fan air compressor belt conveyor 8 On line monitoring and over limit alarm of electromechanical Locomotive Vibration of water pump fan air compressor belt 9 On line monitoring of motor bearing temperature of coal mine electromechanical equipment 10 On line monitoring of motor bearing vibration of coal mine electromechanical equipment 11 Life cycle health management of important coal mine equipment and on-line monitoring and fault intelligent diagnosis of large equipment