CN113137279A - Coal mine thermal power disaster monitoring and early warning system and method based on 5G private network - Google Patents
Coal mine thermal power disaster monitoring and early warning system and method based on 5G private network Download PDFInfo
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Abstract
The invention discloses a coal mine thermal power disaster monitoring and early warning system and a method based on a 5G private network, belonging to the field of coal mine disaster monitoring and early warning, wherein the coal mine thermal power disaster monitoring and early warning system comprises a multi-parameter sensor, a 5G transmission and control system, an intelligent identification and early warning system and a user terminal; arranging a multi-parameter sensor in a downhole monitoring area; the multi-parameter sensor is connected into the 5G transmission and control system through a wired transmission cable, the 5G transmission and control system is in wireless connection with the intelligent identification and early warning system, and the intelligent identification and early warning system is connected with a user terminal. The monitoring and early warning method can monitor and early warn the coal mine thermal power disaster danger and the occurrence area in time and space by adopting the system, and accurately position the occurrence range and the danger degree of the dangerous area; the method has the advantages of easy arrangement, high efficiency, accuracy, convenience and low cost.
Description
Technical Field
The invention belongs to the field of coal mine disaster monitoring and early warning, and particularly relates to a coal mine thermal power disaster monitoring and early warning system and method based on a 5G private network.
Background
The coal mine thermal power disaster refers to the disasters of personnel injury and environmental damage caused by uncontrolled combustion and explosion of combustible substances in a coal mine and high temperature, toxic smoke and shock waves generated by thermochemical operation, and comprises 6 forms of coal spontaneous combustion, coal combustion, gas explosion, coal dust explosion and external cause fire, the coal mine thermal power disaster has the characteristics of relevance, easiness in occurrence, severity and the like, and the internal fire has the characteristics of latency, outburst and the like. The coal mine thermal power disaster often causes the adverse effects of casualties, equipment loss, mine production stoppage, resource destruction and the like, and has important influence on the mine production and the personnel safety. Due to the complex mining conditions and the variable underground environment of the underground coal mine, the occurrence frequency of the coal mine thermal dynamic disaster is high, and great influence and consequence are brought to the safety production of the coal mine, so that the coal mine thermal dynamic disaster monitoring and early warning system and the coal mine thermal dynamic disaster monitoring and early warning method based on the 5G private network are important means for finding the disaster in the mine.
The current coal mine thermal power disaster monitoring and early warning method mainly comprises the following steps: (1) the temperature method is a method for determining natural fire risks and areas of a mining working face and a goaf according to the temperature change condition and the temperature threshold value of a measured area. The method is mainly used for early forecasting coal mine fire caused by coal seam ignition and is not suitable for detecting the position and the development condition of a hidden fire source. (2) The visible light image analysis method utilizes the visible light image to carry out fire disaster analysis, and has the defects of complex algorithm and low accuracy because the correlation between the visible light image and the thermal characteristics of the fire disaster is not large. (3) The index gas analysis method is that various quality-change gases are obtained by combining various means such as a beam tube monitoring system, a manual sampling analysis system, a mine monitoring system and the like, and mathematical analysis is carried out through characteristic parameters such as the concentration, the ratio, the occurrence rate and the like of certain gases generated in the spontaneous combustion and ignition process of coal. However, the beam tube is easily damaged by the coal mine in the detection process, and the fire hazard of deep coal bodies and goafs cannot be detected. (4) The electromagnetic radiation monitoring and early warning technology is an energy radiation form in the coal mine rheological-sudden change damage process, is closely related to gas pressure, and has an important effect on monitoring the gas content and concentration as the gas pressure is higher and the electromagnetic radiation is stronger. (5) The light interference type methane detector and the portable methane detection alarm are manufactured according to the light interference principle, can detect the concentration of CH4, can detect the concentration of CO2, has the gas concentration of 0-l 0 percent, and uses a low-concentration light interference methane detector; the gas concentration is more than 10%, and a high-concentration optical interference type methane detector with the detection range of 0-l 00% is used; the latter is convenient to carry and accurate in detection, but the detection can be carried only when miners or detection personnel enter the underground, and certain using danger is realized.
In the existing coal mine thermal power disaster monitoring and early warning technology, the monitoring and early warning system and method have high cost, severe use environment and certain danger; and because the arrangement of the sensors is easily influenced by the special environment of the mine, and the detection area and the position are easily limited by time and space, the difficulty of detecting the thermal power disasters of the coal mine excavation working face and the goaf is higher, and an effective solution is not provided at present for the problems.
Disclosure of Invention
In order to solve the problems, the invention provides a coal mine thermal power disaster monitoring and early warning system and method which are high in detection accuracy, high in efficiency, simple, convenient and quick, easy to arrange and low in cost.
In order to achieve the purpose, the invention adopts the following technical scheme:
a coal mine thermal power disaster monitoring and early warning system based on a 5G private network comprises a multi-parameter sensor, a 5G transmission and control system, an intelligent identification and early warning system and a user terminal;
arranging a multi-parameter sensor in a downhole monitoring area; the multi-parameter sensor is connected into the 5G transmission and control system through a wired transmission cable, the 5G transmission and control system is in wireless connection with the intelligent identification and early warning system, and the intelligent identification and early warning system is connected with a user terminal.
Preferably, the multi-parameter sensor comprises a gas sensor, an index gas sensor, an infrared temperature sensor and a potential sensor; the 5G transmission and control system comprises a 5G signal receiving unit, a 5G signal conversion unit and a 5G transmission private network; the intelligent identification and early warning system comprises an intelligent monitoring module and an intelligent alarm module; the user terminal comprises a department monitoring host and a mobile monitoring mobile phone.
Preferably, the downhole monitoring region comprises a gob, a working face and an upper corner; a gas sensor, an index gas sensor, an infrared temperature sensor and a potential sensor are arranged in the goaf; a gas sensor, an index gas sensor and an infrared temperature sensor are arranged on the working surface; the upper corner is provided with a gas sensor and an index gas sensor.
Preferably, a monitoring line is selected every 50 meters in an underground monitoring area, a plurality of monitoring points are arranged on each monitoring line, different types of multi-parameter sensors are arranged at the same monitoring point, the positions of the multi-parameter sensors are determined according to the width of the monitoring area, the multi-parameter sensors are connected through wired transmission cables, and a sensor system is formed by a plurality of groups of multi-parameter sensors in different monitoring areas.
Preferably, the 5G signal receiving units are arranged at two sides of the underground monitoring area, the 5G signal conversion unit is arranged at the beginning of the underground monitoring area, and the 5G signal receiving units and the 5G signal conversion unit are connected through a wired transmission cable.
Preferably, the intelligent identification and early warning system is arranged in a mine monitoring center on the ground and is connected with the 5G transmission and control system through a 5G transmission private network.
A coal mine thermal power disaster monitoring and early warning method based on a 5G private network adopts the coal mine thermal power disaster monitoring and early warning system based on the 5G private network, and comprises the following specific steps:
step 1: inputting critical gas, index gas, infrared temperature and potential parameter values and ranges as reference indexes for monitoring;
step 2: monitoring the gas content, the index gas content, the temperature value and the potential parameter of an underground monitoring area in real time through the multi-parameter sensors, wherein the monitoring precision and the monitoring range of different types of multi-parameter sensors are kept consistent;
and step 3: the 5G signal receiving unit receives parameter signals sent by the multi-parameter sensor, and the 5G signal conversion unit converts the parameter signals into 5G transmission signals which are transmitted to the intelligent identification and early warning system by the 5G transmission private network;
and 4, step 4: the intelligent identification and early warning system compares various parameter signals with input reference indexes and judges whether the parameter signals are abnormal or not;
and 5: and judging the disaster type of the abnormal parameter signal and transmitting the alarm signal to the user terminal.
Preferably, the alarm signal is divided into two categories: single and complex disasters; if one parameter is abnormal, the system gives a single disaster alarm, and if various parameters are abnormal, the system gives a complex disaster alarm.
Preferably, the two alarm signals are distinguished by the color and the sound of the alarm prompting lamp, the yellow alarm signal represents single disaster alarm, the red alarm signal represents complex disaster alarm, and the larger the alarm sound is, the larger the severity degree of the disaster is.
Preferably, the intelligent identification and early warning system in the step 4 adopts a classification method and a comparison method to analyze and judge the signal parameters; firstly, when a detected signal is transmitted to an intelligent identification and early warning system, the system classifies the signal according to a set standard, and a parameter signal is intelligently processed into a plurality of signal beams according to the type of a sensor; secondly, the intelligent alarm module traces the source according to the abnormal signal until the signal generating position is located, and judges the disaster type according to the type of the signal beam.
The invention has the following beneficial technical effects:
1. the coal mine thermal power disaster monitoring and early warning system and method based on the 5G private network can monitor and early warn the thermal power disaster risk degree and range of a coal mine goaf, a working face and an upper corner in time and space, and can perform non-contact continuous detection on coal mine thermal power disaster easily-occurring areas such as the inner part of the goaf, a deep coal body, a mining working face and the like;
2. the system is low in cost, easy to arrange and convenient to monitor, and greatly saves the expenditure and budget of the mine in the coal mine thermodynamic disaster monitoring and early warning; the system is simple to operate, is not limited by narrow underground space and special underground environment, and has no influence on production in the detection process; the system can synchronously process and analyze various monitoring parameters and dynamic change conditions thereof in the detection process, analyze and judge the coal mine thermal dynamic disaster danger in a potential danger area in real time, and quickly and accurately realize the detection and early warning of the mine thermal dynamic danger; the system can reflect the dynamic change of the underground coal mine through testing the dynamic change trends of gas, index gas, infrared temperature and light sensation for many times;
3. the intelligent identification and early warning system analyzes and judges signal parameters by adopting a classification method and a comparison method, the two methods are comprehensively applied to the intelligent identification and early warning system to realize classified and graded monitoring and early warning, and in the face of 5G parameter signals with huge quantity, the intelligent identification and early warning system can trace the root and the source, accurately position and accurately alarm to realize real-time monitoring and early warning of coal mine thermal power disasters;
4. the system can realize underground unmanned monitoring, and greatly reduces the damage of thermal power disasters to workers; the system realizes wireless connection and wireless signal transmission by using a 5G technology, greatly saves materials and laying cost of wired cables, and realizes high-speed and rapid parameter signal transmission; the system and the method have the advantages that the efficient and rapid detection and early warning are realized, and huge social benefits and economic benefits are certainly brought to mines.
Drawings
FIG. 1 is a block diagram of a coal mine thermal power disaster monitoring and early warning system based on a 5G private network;
FIG. 2 is a schematic diagram of the arrangement of various sensor systems in a goaf, a working face and an upper corner in accordance with an embodiment of the present invention;
FIG. 3 is a schematic overall structure diagram of a coal mine thermal power disaster monitoring and early warning system based on a 5G private network;
FIG. 4 is a flow chart of a coal mine thermal power disaster monitoring and early warning method based on a 5G private network;
wherein, 1-a gas sensor; 2-index gas sensor; 3-an infrared temperature sensor; 4-a potentiometric sensor; a 5-5G signal receiving unit; 6-wired transmission cable.
Detailed Description
The invention is described in further detail below with reference to the following figures and detailed description:
the coal mine thermal power disaster monitoring and early warning system based on the 5G private network is shown in figure 1 and comprises a multi-parameter sensor, a 5G transmission and control system, an intelligent identification and early warning system and a user terminal, wherein the multi-parameter sensor, the 5G transmission and control system, the intelligent identification and early warning system and the user terminal are installed in each underground monitoring area; the multi-parameter sensor comprises a gas sensor, an index gas sensor, an infrared temperature sensor and a potential sensor; the 5G transmission and control system comprises a 5G transmission private network, a 5G signal receiving unit and a 5G signal conversion unit; the intelligent identification and early warning system comprises an intelligent monitoring module and an intelligent alarm module; the user terminal comprises a department monitoring host and a mobile monitoring mobile phone; the key monitoring areas comprise a goaf, a working face, an upper corner and the like. All the sensors are connected through wired transmission cables, and all the systems are connected through a 5G transmission private network.
The invention combines a detection method of gas, index gas, infrared temperature and electric potential with an intelligent alarm method, the effective receiving directions of a gas sensor, an index gas sensor, an infrared temperature sensor and an electric potential sensor are directed to a detection area at a selected measuring point in the monitoring area, the gas content, the index gas content, the temperature value and the electric potential parameter in the area are tested, and the monitoring precision and the range of different types of sensors are kept consistent; the intelligent alarm system and the detection system are connected through a 5G private network, the intelligent alarm system sends out alarm signals according to detection results, and the detection results support the intelligent alarm results to realize synchronous detection and alarm.
FIG. 2 is a schematic view of various sensor arrangements in a portion of a gob, a working face and an upper corner downhole. The mine goaf is provided with a gas sensor 1, an index gas sensor 2, an infrared temperature sensor 3 and a potential sensor 4, the working face is provided with the gas sensor 1, the index gas sensor 2 and the infrared temperature sensor 3, and the upper corner is provided with the gas sensor 1 and the index gas sensor 2. The arrangement mode is that a monitoring line is selected in a monitoring area, different types of sensors are arranged at the same monitoring point on the monitoring line, a goaf is arranged on the ground level plane of the monitoring area, a working face is arranged on two sides, upper corners are independently and directly arranged and are arranged at the top corners of the monitoring area, the distance between different monitoring lines is determined according to the width of the monitoring area, 5G signal receiving units 5 are arranged on the two sides or the top plate of the monitoring area, 5G signal conversion units are arranged at the initial ends of the monitoring area, the 5G signal receiving units 5 and the 5G signal conversion units are connected through a wired transmission cable 6, and the cable has the characteristics of water resistance, fire resistance and corrosion resistance. Different types of sensors with consistent precision and monitoring range are selected, parameter data acquired by each sensor are received by the 5G signal receiving unit 5, and are converted by the 5G signal conversion unit and then continuously transmitted to the intelligent identification and early warning system of the ground mine monitoring and control center. That is to say, 5G signal receiving element 5 receives the parameter signal that is sent by the sensor, and 5G signal conversion unit converts the parameter signal into 5G transmission signal, realizes wireless connection with intelligent identification and early warning system, and 5G transmission private network is a wireless transmission private network, and 5G transmission signal that 5G passed off accuse system transmits to intelligent identification and early warning system through 5G transmission network.
Fig. 3 shows an overall structure schematic diagram of a coal mine thermal disaster monitoring and early warning system based on a 5G private network, wherein the monitoring and early warning system integrally comprises four parts, namely a multi-parameter sensor, a 5G transmission and control system, an intelligent identification and early warning system and a user terminal. The multi-parameter sensors are respectively arranged on a goaf, a working face and an upper corner, the specific arrangement mode of the multi-parameter sensors is shown in an arrangement diagram of the sensors in FIG. 2, the multi-parameter sensors are connected with a wired cable in an underground arrangement area, the multi-parameter sensors are transmitted to an intelligent identification and early warning system by using a 5G transmission private network after being processed by a 5G signal receiving unit and a 5G signal conversion unit, the intelligent identification and early warning system analyzes and judges signals, early warns and alarms, and finally various parameter signals or alarm signals are transmitted to a user terminal, so that the purposes of real-time alarming and early warning are achieved.
Fig. 4 is a process flow chart of the coal mine thermal power disaster monitoring and early warning method based on the 5G private network, and the detection process is specifically divided into the following five steps.
The first step is as follows: and (5) arranging the system. Various sensors are fixed on monitoring points of a preselected monitoring area, the sensors are arranged according to the layout chart shown in the figure 2 and the figure 3, and large-scale electrical equipment is avoided near the monitoring points so as to avoid inaccurate monitoring indexes of the sensors in the monitoring range. And starting the monitoring system, initializing the built-in software module and starting the program to run. During operation, the system prompts the operation steps, and a display of the user terminal displays the operation process and the monitoring index. The operator realizes system operation by operating the department monitoring host or the mobile monitoring mobile phone of the user terminal.
The second step is that: and (6) inputting parameters. Critical gas, index gas, infrared temperature and potential parameter values and ranges are input through an input keyboard and serve as reference indexes for monitoring in the time period.
The third step: and collecting data and detecting. The effective receiving directions of a gas sensor, an index gas sensor, an infrared temperature sensor and a potential sensor face a detection area at a selected measuring point in the monitoring area, and the gas content, the index gas content, the temperature value and the potential parameter of the area are tested; the sensors of monitoring points of all key monitoring areas under the coal mine work simultaneously, monitoring data are transmitted to the 5G transmission and control system through a wired transmission cable, the 5G signal conversion unit converts parameter signals into 5G signals, and the 5G signals are transmitted to the intelligent identification and early warning system of the ground mine monitoring and control center through a 5G transmission special network.
The fourth step: and judging the disaster type. According to the intelligent identification and early warning system, various signals are compared with input reference indexes by an intelligent monitoring module, and the intelligent alarm module judges whether the type is a single disaster type or a complex disaster type according to the type of abnormity of the parameter signals.
The fifth step: and (6) alarming. According to the disaster type of the prediction early warning, if the disaster type is a single disaster type, the system gives a single disaster warning; and if the disaster type is the complex disaster type, the system gives out the complex disaster alarm.
The complex disaster judgment relates to cross analysis of multiple information, and various sensor parameters need to be analyzed and processed. Specifically, an intelligent identification and early warning system is arranged in a mine monitoring and monitoring center on the ground, wherein an intelligent monitoring module can simultaneously carry out comparison analysis on four parameter signals related to the system, a comparison result is transmitted to an intelligent alarm module through a 5G transmission private network, the intelligent alarm module analyzes whether the four parameter signals meet set reference standards, whether the four parameter signals meet the set reference standards or not is judged according to the types of abnormal conditions of the parameters, the abnormal monitoring area position is screened out, the accurate positioning is realized on the abnormal parameter area, if one parameter is abnormal, the single disaster system alarms, if multiple parameters are abnormal, the complex disaster system alarms, two alarm signals are transmitted to a user terminal, two signals of the user terminal are distinguished by the color and the sound of an alarm prompting lamp, and a yellow alarm signal represents single disaster alarm, the red alarm signal represents a complex disaster alarm.
The intelligent identification and early warning system analyzes and judges the signal parameters by adopting a classification method and a comparison method. Firstly, due to the fact that the number of sensors arranged underground is large, the number of parameter signals transmitted to an intelligent identification and early warning system at each moment is large, when detected signals are transmitted to the intelligent identification and early warning system, the system classifies the signals according to set standards, and the parameter signals are intelligently processed into a plurality of signal beams according to the types of the sensors; secondly, signals can be orderly transmitted to a user terminal within a set parameter signal range, once the signals exceed the set parameter signal range, the bundle of signals is abnormal, the intelligent alarm module can trace back and forth according to the abnormal signals until the occurrence position of the signals is located, disaster types are judged according to the types of the signal bundles, the single disaster alarm system can be interfered by the single signal bundle abnormity, single disaster alarm is realized, when multiple signal bundles are abnormal, the single disaster alarm system is interfered by multiple signal bundles simultaneously, the single disaster alarm system has singleness and cannot receive signal interference at the same time, at the moment, the single disaster alarm system is equivalent to a transmission cable and only has a transmission function, the abnormal signals are transmitted to the complex disaster alarm system, and the complex disaster system alarms to realize early warning and alarming of multiple bundles of disaster types. The two methods are comprehensively applied to an intelligent identification and early warning system to realize classified and graded monitoring and early warning, and in the face of 5G parameter signals with large quantity, the intelligent identification and early warning system can trace the root and the source, accurately position and accurately alarm to realize real-time monitoring and early warning of coal mine thermal power disasters.
It is to be understood that the above description is not intended to limit the present invention, and the present invention is not limited to the above examples, and those skilled in the art may make modifications, alterations, additions or substitutions within the spirit and scope of the present invention.
Claims (10)
1. A coal mine thermal power disaster monitoring and early warning system based on a 5G private network is characterized by comprising a multi-parameter sensor, a 5G transmission and control system, an intelligent identification and early warning system and a user terminal;
arranging a multi-parameter sensor in a downhole monitoring area; the multi-parameter sensor is connected into the 5G transmission and control system through a wired transmission cable, the 5G transmission and control system is in wireless connection with the intelligent identification and early warning system, and the intelligent identification and early warning system is connected with a user terminal.
2. The coal mine thermal power disaster monitoring and early warning system based on the 5G private network is characterized in that the multi-parameter sensors comprise a gas sensor, an index gas sensor, an infrared temperature sensor and a potential sensor; the 5G transmission and control system comprises a 5G signal receiving unit, a 5G signal conversion unit and a 5G transmission private network; the intelligent identification and early warning system comprises an intelligent monitoring module and an intelligent alarm module; the user terminal comprises a department monitoring host and a mobile monitoring mobile phone.
3. The coal mine thermodynamic disaster monitoring and early warning system based on the 5G private network as claimed in claim 2, wherein the underground monitoring area comprises a goaf, a working face and an upper corner; a gas sensor, an index gas sensor, an infrared temperature sensor and a potential sensor are arranged in the goaf; a gas sensor, an index gas sensor and an infrared temperature sensor are arranged on the working surface; the upper corner is provided with a gas sensor and an index gas sensor.
4. The coal mine thermal power disaster monitoring and early warning system based on the 5G private network is characterized in that one monitoring line is selected every 50 meters in an underground monitoring area, a plurality of monitoring points are arranged on each monitoring line, different types of multi-parameter sensors are arranged at the same monitoring point at the same time, the positions of the multi-parameter sensors are determined according to the width of the monitoring area, the multi-parameter sensors are connected through wired transmission cables, and a sensor system is formed by a plurality of groups of multi-parameter sensors in different monitoring areas.
5. The coal mine thermal power disaster monitoring and early warning system based on the 5G private network as claimed in claim 2, wherein the 5G signal receiving units are arranged at two sides of the underground monitoring area, the 5G signal conversion unit is arranged at the beginning of the underground monitoring area, and the 5G signal receiving unit and the 5G signal conversion unit are connected through a wired transmission cable.
6. The coal mine thermal power disaster monitoring and early warning system based on the 5G private network as claimed in claim 2, wherein the intelligent identification and early warning system is arranged in a mine monitoring center on the ground and is wirelessly connected with the 5G transmission and control system through the 5G transmission private network.
7. A coal mine thermal power disaster monitoring and early warning method based on a 5G private network is characterized in that the coal mine thermal power disaster monitoring and early warning system based on the 5G private network is adopted, and the method comprises the following specific steps:
step 1: inputting critical gas, index gas, infrared temperature and potential parameter values and ranges as reference indexes for monitoring;
step 2: monitoring the gas content, the index gas content, the temperature value and the potential parameter of an underground monitoring area in real time through the multi-parameter sensors, wherein the monitoring precision and the monitoring range of different types of multi-parameter sensors are kept consistent;
and step 3: the 5G signal receiving unit receives parameter signals sent by the multi-parameter sensor, and the 5G signal conversion unit converts the parameter signals into 5G transmission signals which are transmitted to the intelligent identification and early warning system by the 5G transmission private network;
and 4, step 4: the intelligent identification and early warning system compares various parameter signals with input reference indexes and judges whether the parameter signals are abnormal or not;
and 5: and judging and evaluating the disaster type and disaster degree of the abnormal parameter signal and transmitting an alarm signal to the user terminal.
8. The coal mine thermal power disaster monitoring and early warning method based on the 5G private network as claimed in claim 7, wherein the alarm signal is divided into two types: single and complex disasters; if one parameter is abnormal, the system gives a single disaster alarm, and if various parameters are abnormal, the system gives a complex disaster alarm.
9. The coal mine thermal power disaster monitoring and early warning method based on the 5G private network is characterized in that the two alarm signals are distinguished by colors and sounds of alarm prompt lamps, yellow alarm signals represent single disaster alarms, red alarm signals represent complex disaster alarms, the severity of the disasters is judged according to the magnitude of the alarm sounds, and the disasters are more serious when the alarm sounds are larger.
10. The coal mine thermal power disaster monitoring and early warning method based on the 5G private network as claimed in claim 9, wherein the intelligent identification and early warning system in the step 4 adopts classification and comparison methods to analyze and judge the signal parameters; firstly, when a detected signal is transmitted to an intelligent identification and early warning system, the system classifies the signal according to a set standard, and a parameter signal is intelligently processed into a plurality of signal beams according to the type of a sensor; secondly, the intelligent alarm module traces the source according to the abnormal signal until the signal generating position is located, and judges the disaster type according to the type of the signal beam.
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Application publication date: 20210720 |