Safety monitoring system for mine hoist

Abstract

The invention provides a safety monitoring system for a mine hoist. According to the system, a lifting system ground equipment three-dimensional model is established, an optical fiber vibration sensor, a strain sensor and a displacement sensor are configured, equipment state signals are collected through an industrial personal computer and a data optical fiber demodulator, data streams are formed and transmitted to a local storage server for calculation and analysis, and state characteristic parameters of the data streams are displayed in real time. According to the invention, through detection of characteristic parameters, combination of operation states and data analysis of operation state parameters, state characteristics are extracted from data, cross-correlation analysis and unit historical data are utilized, a fault tree model and a calculation model based on real-time monitoring data are established, and comparison calculation and analysis are carried out, so that operation state evaluation of current equipment is obtained. And early warning is carried out when abnormal conditions occur. According to the invention, the monitoring function is comprehensively improved, the monitoring sensitivity and comprehensiveness are improved, and the system has significant technical advantages and good operation performance.

Description

Technical Field

[0001] The invention belongs to the technical field of mining machinery, and in particular relates to a safety monitoring system for a mine hoist. Background Art

[0002] Mine hoists are responsible for lifting personnel, lifting coal and gangue, and lowering materials and equipment. Whether they can operate safely and normally is related to the output and income of the entire coal mine, and more directly affects the life safety of mine production workers. Therefore, ensuring the safe and efficient operation of mine hoists can ensure the safety of miners' lives and safe production in coal mines.

[0003] Common hoist status fault monitoring systems generally complete the perception of the operating status parameters of the hoist system by setting up vibration, pressure, temperature and other sensors, but they all ignore the detection of acoustic signals generated by various parts of the equipment during the operation of the hoist, resulting in inaccurate results of hoist fault prediction and analysis. Therefore, a system fault diagnosis system based on acoustic signals is constructed to filter and extract features of the acoustic signals, and compare the obtained feature vectors with the existing signal features to determine the information category of the acquired signal and further improve the accuracy of fault prediction. The advantage of system fault diagnosis based on acoustic signals is that there is no need to shut down the equipment when acquiring acoustic signals, and the use of non-contact sensors to collect acoustic signals can also shield a large amount of electromagnetic interference on site, which provides convenience for the later processing of signals.

[0004] At present, the main contents and goals of smart mine construction include fully automatic operation of large fixed equipment, unmanned on-site operation and few people patrolling, and remote centralized monitoring by the control center. To achieve these goals, it is necessary to conduct health diagnosis and predictive maintenance of large fixed equipment in coal mines. Therefore, it is necessary to configure online monitoring and early warning systems for large fixed equipment in mines such as mine hoists, aiming to provide guarantees for the fully automatic and safe operation of the equipment and lay a solid foundation for the construction of smart mines. Summary of the invention

[0005] The technical problem to be solved by the present invention is that the conventional monitoring method currently used for mine hoists needs to be improved in terms of function and monitoring effect.

[0006] In order to achieve the above technical objectives, the present invention adopts the following technical solutions: A mine hoist safety monitoring system establishes a three-dimensional model of the ground equipment of the hoisting system and is equipped with optical fiber vibration sensors, strain sensors, and displacement sensors. The system collects equipment status signals through an industrial computer and a data optical fiber demodulator to form a data stream that is transmitted to a local storage server for calculation and analysis, and displays the status characteristic parameters of the data stream in real time.

[0007] Preferably, the system collects parameters that characterize the fault characteristics of the ground equipment of the lifting system through fiber optic sensing. The system uses fiber optic temperature and humidity sensors to continuously collect temperature signals for areas or locations including electrical units and power systems, and establishes an over-limit warning mechanism.

[0008] Preferably, the system detects characteristic parameters, combines the operating status and data analysis of the operating status parameters, extracts status characteristics from the data, uses cross-correlation analysis and unit historical data to establish a fault tree model and a calculation model based on real-time monitoring data, compares calculations and analysis, and obtains an operating status assessment of the current equipment, and issues early warnings when abnormal situations occur.

[0009] Preferably, the optical fiber demodulator in the system has 16 channels, a sampling frequency of 1000 Hz, a resolution of 1 pm, and an accuracy of 3 pm; and the distributed optical fiber strain sensor in the system has a linear acquisition range of not less than 2000 με.

[0010] Preferably, the optical fiber displacement sensor in the system has a range of 0-200 mm and an accuracy of 0.5% FS; the optical fiber temperature sensor in the system has a resolution of 0.1°C, an accuracy of 1°C, and a range of -20~120°C.

[0011] Preferably, the optical fiber vibration sensor in the system has a low frequency range of 5g, a frequency range of 0.5-100Hz, and a resolution of 0.05g; and a high frequency range of 50g, a frequency range of 2-500Hz, and a resolution of 0.5g.

[0012] Preferably, the system is provided with an edge audio sensing device, which includes a sound card, a microphone, a main controller, a power supply and a wireless communication module; the edge audio sensing device collects the operating noise of the elevator through a pickup array and converts it into a high-resolution digital signal sequence; performs data analysis and fault diagnosis based on an embedded neural network processor; judges the current state of the elevator and analyzes potential risks through a fault diagnosis and prediction algorithm model, thereby realizing fault diagnosis and predictive maintenance.

[0013] Preferably, the system is provided with a fire sensing device, which includes a fire sensor, a main controller, a power supply and a wireless communication module; the fire sensing device monitors temperature and smoke information including the electrical main circuit connection parts, the high-voltage distribution room and the cable room; when abnormal information is detected, fault information is given and an alarm signal is issued.

[0014] Preferably, the system is provided with an edge aggregation node and a network transmission device, wherein the edge aggregation node includes a limited communication module, a wireless communication module and a main control chip; the edge aggregation node completes data aggregation and relay transmission of each node; and the network transmission device constructs a wired and wireless heterogeneous communication network.

[0015] Preferably, the system includes a system terminal equipped with an integrated equipment management platform, which performs functions including equipment management, abnormal alarm, and fault confirmation; the system creates a data sample set including noise, vibration, temperature, and smoke during the operation of the mine hoist.

[0016] The present invention provides a mine hoist safety monitoring system. The system establishes a three-dimensional model of the ground equipment of the hoisting system, and is equipped with optical fiber vibration sensors, strain sensors, and displacement sensors. The system collects equipment status signals through industrial computers and data optical fiber demodulators to form data streams that are transmitted to local storage servers for calculation and analysis, and displays the state characteristic parameters of the data stream in real time. The present invention detects characteristic parameters, combines the operating status and data analysis of the operating status parameters, extracts state characteristics from the data, uses cross-correlation analysis and unit historical data, establishes a fault tree model and a calculation model based on real-time monitoring data, compares calculations and analyses, obtains the operating status evaluation of the current equipment, and issues early warnings when abnormal situations occur. The present invention not only comprehensively improves the monitoring function, but also improves the sensitivity and comprehensiveness of monitoring, and has significant technical advantages and good operating performance. DETAILED DESCRIPTION

[0017] The specific embodiments of the present invention will be described in detail below. In order to avoid too much unnecessary details, the well-known structures or functions will not be described in detail in the following examples. The approximate language used in the following examples can be used for quantitative expression, indicating that the quantity can be allowed to have a certain change without changing the basic function. Unless otherwise defined, the technical and scientific terms used in the following examples have the same meaning as those generally understood by those skilled in the art to which the present invention belongs.

[0018] A mine hoist safety monitoring system: 1. Improve the system ground equipment basic status online monitoring and early warning system software Establish a 3D model of the lifting system ground equipment and conduct diagnostic analysis A three-dimensional model of the ground equipment of the lifting system is established, and optical fiber vibration sensors, strain sensors, displacement sensors, etc. are configured. The equipment status signals are collected through an industrial computer and a data optical fiber demodulator to form a data stream that is transmitted to the local storage server for calculation and analysis, and the common status characteristic parameters of the data stream are displayed in real time.

[0019] Fault characteristic parameter acquisition When the ground equipment of the lifting system is working, there is generally a certain development process from the occurrence of faults to structural displacement and failure to work. Each fault has its early signs and characteristics, which mainly include the following forms: local vibration intensification, gap enlargement, structural deformation, etc., among which vibration and displacement are the direct manifestations of the fault. This project can characterize the characteristic parameters of the ground equipment faults of the lifting system through intensive collection of optical fiber sensors. When the temperature in a certain area / location rises to an over-limit, or further to a fire, there will be a process of quantitative change to qualitative change. Optical fiber temperature and humidity sensors are used in areas / locations such as electrical units and power systems to accurately and continuously collect temperature signals, establish an over-limit warning mechanism, and ensure the safe operation of the system.

[0020] Fault warning By detecting specific characteristic parameters, combining the operating status and data analysis of the operating status parameters, the status characteristics are extracted from the data, and the fault tree model and the calculation model based on the real-time monitoring data are established by using cross-correlation analysis and unit historical data. By comparing the calculation and analysis, the operating status assessment of the current equipment is obtained, and early warning is issued in case of abnormal situations.

[0021] 2. Improve the hardware of the system's ground equipment basic status online monitoring and early warning system Fiber optic interrogator: 16 channels, sampling frequency: 1000Hz, resolution: 1pm, accuracy: 3pm.

[0022] Distributed optical fiber strain sensor: The linear acquisition range is not less than 2000με.

[0023] Fiber optic displacement sensor: range: 0-200mm, accuracy: 0.5%FS.

[0024] Fiber optic vibration sensor: low frequency range: 5g, frequency range: 0.5-100Hz, resolution: 0.05g; high frequency range: 50g, frequency range: 2-500Hz, resolution: 0.5g.

[0025] Fiber optic temperature sensor: resolution 0.1°C, accuracy 1°C, range -20~120°C.

[0026] 3. Edge Audio Sensing Device The edge audio sensing device consists of a sound card, microphone, main controller, power supply and wireless communication module. A high-sensitivity pickup array is developed for the working environment of the elevator to collect the elevator operation noise and convert it into a high-resolution digital signal sequence; data analysis and fault diagnosis are performed based on an embedded neural network processor; the current state of the elevator is judged and potential risks are analyzed through the fault diagnosis and prediction algorithm model, so as to achieve fault diagnosis and predictive maintenance.

[0027] 4. Fire sensing device The fire sensing device consists of a fire sensor, a main controller, a power supply and a wireless communication module, and monitors the temperature and smoke information of the electrical main circuit connection parts (such as the cable connector between the transmission cabinet and the main motor), the high-voltage distribution room, the cable room, etc. If an abnormality is found, the fault information is given and the inspection personnel are notified immediately to deal with it on site in a timely manner.

[0028] 5. Edge aggregation nodes The edge aggregation node includes a limited communication module, a wireless communication module, a main control chip, etc. to build an edge aggregation node, completing the data aggregation and relay transmission of each node.

[0029] 6. Network transmission device Build wired and wireless heterogeneous communication networks.

[0030] 7. System Terminal Equipped with an integrated equipment management platform, it can complete equipment management, abnormal alarm, and fault confirmation functions.

[0031] 8. Create a data sample set of noise, vibration, temperature, smoke, etc. during the operation of the mine hoist, and develop a mine hoist health diagnosis algorithm and its software based on multi-sensory fusion.

[0032] 9. When the hoist fails, it can accurately point out the fault type, cause, fault point and other information, with an accuracy rate of over 90%. Among them, the fiber Bragg grating demodulator is SuperHawk 8000 model fiber Bragg grating demodulator.

[0033] The applications of fiber grating demodulator include the following aspects: online monitoring of temperature of high-voltage power equipment; online monitoring of bridge structure; online monitoring of dam stress and water level; online monitoring of oil pipeline temperature and leakage; online monitoring of petrochemical tank area temperature; automatic alarm of industrial fire fighting; and monitoring of tunnel stress and deformation.

[0034] The features of the fiber Bragg grating interrogator include the following: any channel can be customized; portable and widely applicable; all channels are scanned synchronously without optical switching; excellent thermal stability and long-term stability; Ethernet interface; built-in absolute wavelength reference standard, no external wavelength calibration required.

[0035] The fiber Bragg grating demodulator integrates several modules such as light source, data acquisition, network communication, etc. It is suitable for demodulation and sensing data acquisition of various types of fiber Bragg grating sensor signals such as fiber Bragg grating temperature, strain, pressure, displacement, angle, acceleration, magnetic field, flow, etc. It has 1-32 measurement channels to choose from, and the scanning frequency can be selected between 1 and 2000Hz. It has a built-in calibration wavelength reference module, which does not require calibration after leaving the factory, and can guarantee a long-term measurement accuracy of ±1pm within the temperature range of -10 to 55℃. The technical parameters are shown in Table 1 below.

[0036] Table 1 Technical parameters of fiber Bragg grating demodulator aisle 1 / 2 / 4 / 8 / 16 / 32 Wavelength range 40nm (1528nm~1568nm) Wavelength resolution 0.1pm Wavelength repeatability ≤2pm Scan frequency 1-2000Hz Dynamic Range 40dB Channel spectrum With full spectrum function Power consumption 25W Fiber Optic Interface FC / APC Communication interface Ethernet Operating temperature -10℃~55℃ Power supply DC 5V or AC 100~240V / 50-60Hz Size and weight 400 mm × 400 mm × 170 mm; 6.0kg The embodiments of the present invention are described in detail above, but the contents are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the scope of the present invention shall be included in the protection scope of the present invention.

Claims

1. A mine hoist safety monitoring system, characterized in that: The system establishes a three-dimensional model of the ground equipment of the lifting system, and configures it with fiber optic vibration sensors, strain sensors, and displacement sensors. It collects equipment status signals through industrial computers and data fiber optic demodulators, forms data streams, and transmits them to the local storage server for calculation and analysis, and displays the status characteristic parameters of the data stream in real time.

2. A mine hoist safety monitoring system according to claim 1, characterized in that: The system uses fiber optic sensing to collect parameters that characterize the fault characteristics of the ground equipment of the lifting system. The system uses fiber optic temperature and humidity sensors to continuously collect temperature signals in areas or locations including electrical units and power systems, and establishes an over-limit warning mechanism.

3. A mine hoist safety monitoring system according to claim 1, characterized in that: The system detects characteristic parameters, combines the operating status and data analysis of the operating status parameters, extracts status characteristics from the data, uses cross-correlation analysis and unit historical data to establish a fault tree model and a calculation model based on real-time monitoring data, compares calculations and analysis, and obtains an operating status assessment of the current equipment, and issues early warnings when abnormal situations occur.

4. A mine hoist safety monitoring system according to claim 1, characterized in that: The fiber optic demodulator in the system has 16 channels, a sampling frequency of 1000 Hz, a resolution of 1 pm, and an accuracy of 3 pm; the distributed fiber optic strain sensor in the system has a linear acquisition range of no less than 2000 με.

5. A mine hoist safety monitoring system according to claim 1, characterized in that: The fiber optic displacement sensor in this system has a range of 0-200mm and an accuracy of 0.5%FS; the fiber optic temperature sensor in this system has a resolution of 0.1℃, an accuracy of 1℃, and a range of -20~120℃.

6. A mine hoist safety monitoring system according to claim 1, characterized in that: The fiber optic vibration sensor in this system has a low-frequency range of 5g, a frequency range of 0.5-100Hz, and a resolution of 0.05g; its high-frequency range is 50g, a frequency range of 2-500Hz, and a resolution of 0.5g.

7. A mine hoist safety monitoring system according to claim 1, characterized in that: The system is equipped with an edge audio sensing device, which includes a sound card, a microphone, a main controller, a power supply and a wireless communication module; the edge audio sensing device collects the operating noise of the elevator through a pickup array and converts it into a high-resolution digital signal sequence; performs data analysis and fault diagnosis based on an embedded neural network processor; judges the current state of the elevator and analyzes potential risks through a fault diagnosis and prediction algorithm model, thereby realizing fault diagnosis and predictive maintenance.

8. A mine hoist safety monitoring system according to claim 1, characterized in that: The system is equipped with a fire sensing device, which includes a fire sensor, a main controller, a power supply and a wireless communication module; the fire sensing device monitors the temperature and smoke information including the electrical main circuit connection parts, the high-voltage distribution room, and the cable room; when abnormal information is detected, fault information is given and an alarm signal is issued.

9. A mine hoist safety monitoring system according to claim 1, characterized in that: The system is provided with an edge aggregation node and a network transmission device, wherein the edge aggregation node includes a limited communication module, a wireless communication module and a main control chip; the edge aggregation node completes data aggregation and relay transmission of each node; the network transmission device constructs a wired and wireless heterogeneous communication network.

10. A mine hoist safety monitoring system according to claim 1, characterized in that: The system includes a system terminal, which is equipped with an integrated equipment management platform. The integrated management platform completes functions including equipment management, abnormal alarm, and fault confirmation; the system creates a data sample set including noise, vibration, temperature, and smoke during the operation of the mine hoist.