A mine tunnel safety management system and method based on big data

Abstract

The application discloses a kind of mine safety management system and method based on big data in the technical field of mine safety management, the system includes environment monitoring module for collecting the geographic location information of coal mine and monitoring and forecasting meteorological information;In-mine monitoring module is used to set node in the position prone to water inrush accident according to hydrological information and geological information and mine location information, temperature detection unit and humidity detection unit are set at each node, temperature detection unit and humidity detection unit are used to monitor the temperature and humidity of the node respectively, in-mine detection module is also used to collect the position and state data of equipment in mine in real time, and calculate the change of equipment to temperature and humidity.The present application, not limited to a certain point in the prior art detection, but the detection mode of the whole mine and each node combination, i.e. It can improve the accuracy of water disaster detection in mine and quickly determine the position where water disaster may occur.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of mine tunnel safety management, and particularly relates to a mine tunnel safety management system and method based on big data. BACKGROUND

[0002] China's resource endowment has the characteristics of "rich coal, poor oil, and little gas", which determines that coal is the pillar of China's energy system. And although in recent years, the new energy industry such as nuclear energy, wind energy, and solar energy has developed rapidly, China's energy structure presents a trend of continuous diversification, but coal resources with the advantages of mature and reliable, low price, etc. will still be the dominant and basic energy in China's energy structure for a long period of time, and will play an important role in the sustainable development of China's national economy.

[0003] But in the process of coal mining, gas, water disaster, fire, roof, coal dust and other accidents often cause great natural disasters; among them, the accident rate and disaster degree of water disaster are higher, which poses a great threat to coal mining. In recent years, with the development of science and technology, the detection and prediction technology of water disaster has gradually developed. For example, the underground water disaster alarm method based on temperature and humidity and image monitoring recorded in Chinese patent document CN105484798B. The alarm method places a camera at the coal mine underground excavation working face, coal mining working face or other possible water inrush accident operation face and other places, and installs temperature and humidity sensors, wind speed or air volume sensors in the roadway monitored by the camera, and collects large equipment state data; when the temperature and humidity data of the operation face is abnormal, and when the set area in the camera video image appears abnormal water flow, and the water flow duration exceeds the set time threshold or the water flow increases speed exceeds the set threshold, a water disaster alarm signal is sent.

[0004] But because it can only monitor part of the key positions, but the water disaster in the mine tunnel can occur at various positions in the mine tunnel, so the above scheme has certain limitations and cannot comprehensively make early warning on whether the water disaster in the mine tunnel will occur. SUMMARY

[0005] The purpose of the present application is to provide a mine tunnel safety management system and method based on big data to solve the problems in the background art.

[0006] In order to achieve the above purpose, the technical scheme of the present application is as follows: a mine tunnel safety management system based on big data, comprising an environment monitoring module, an in-well monitoring module and a processing module.

[0007] The environmental monitoring module is used for collecting the geographical position information of the coal mine, collecting hydrological information and geological information around the coal mine according to the geographical position information, collecting the position information of the mine tunnel in the mine according to the actual mining condition of the coal mine, and monitoring and predicting the weather information of the position of the coal mine according to the geographical position information and big data;

[0008] The in-mine monitoring module is used for setting nodes at positions prone to water inrush accidents according to the hydrological information, the geological information and the mine tunnel position information, setting a temperature detection unit and a humidity detection unit at each node, the temperature detection unit and the humidity detection unit being respectively used for monitoring the temperature and the humidity of the node, and the in-mine monitoring module is further used for collecting the position and state data of the equipment in the mine tunnel in real time and calculating the change amount of the equipment to the temperature and the humidity;

[0009] The processing module is used for comparing the temperature and the humidity of adjacent nodes, if the change amount of the temperature or the humidity exceeds a threshold value, judging whether there is equipment between the adjacent nodes according to the node position of the temperature detection unit and the humidity detection unit, if there is no equipment, generating a first warning information, and if there is equipment, judging whether the change of the adjacent temperature or humidity is normal according to the change amount of the equipment to the temperature and the humidity, if not, generating a first warning signal;

[0010] The air water content detection module arranged at the inlet end and the outlet end of the mine ventilation system comprises a support frame, an impeller and a processing unit, the support frame is fixedly connected with the inner wall of the pipeline at the inlet end and the outlet end of the mine ventilation system, the impeller is rotationally connected with the support frame, the impeller can rotate with the operation of the ventilation system, a plurality of humidity sensing pieces and thermistors are circumferentially distributed on the impeller, the humidity sensing pieces and the thermistors are electrically connected with a reference circuit, the reference circuit is used for detecting the capacitance or resistance of the humidity sensing pieces and the resistance of the thermistors, and the processing unit obtains the relative humidity η and the temperature t of the air at the inlet end and the outlet end of the mine ventilation system according to the capacitance or resistance of the humidity sensing pieces and the resistance of the thermistors detected by the reference circuit, and calculates the water content H of the air at the inlet end and the outlet end of the mine ventilation system s :

[0011]

[0012] In the formula, p t is the saturation pressure of water at t temperature, and p is the atmospheric pressure at the location of the mine;

[0013] The processing module is further used for comparing the water content of the air at the inlet end and the outlet end of the mine ventilation system, and generating a second warning signal if the difference of the water content exceeds a threshold value.

[0014] The technical principle of the above scheme is as follows:

[0015] Since the coal rock wall is prone to water hanging phenomenon before water disaster occurs underground, that is, water droplets appear on the wall surface, the humidity and temperature of the air input by the mine ventilation system will change after the air passes through the coal channel containing the water droplets, but the time when the air enters the coal channel and the temperature of the air entering the coal channel can affect the temperature and humidity of the air in the coal channel; therefore, the method of detecting the temperature and humidity of the air through adjacent temperature sensors and humidity sensors can effectively avoid the influence of the original air temperature and humidity, and accurately understand the change of the air when passing through adjacent nodes, and judge whether the hanging sweat phenomenon occurs in the coal channel according to the change of the temperature and humidity of the air. After preliminary monitoring of whether water disaster will occur in the coal channel, the air water content detection module arranged at the inlet end and the outlet end of the mine ventilation system is used to understand whether the hanging sweat phenomenon exists by understanding the change of the water content of the air input into the coal channel and the air output from the coal channel, so as to understand the overall situation in the coal channel, and further preliminarily monitor whether water disaster will occur in the coal channel.

[0016] The above scheme has the following beneficial effects:

[0017] Compared with the prior art, the scheme first sets nodes at positions where water disaster is prone to occur in the coal channel according to the actual situation of the coal channel, and can preliminarily predict whether water disaster exists between adjacent nodes by the change of the temperature and humidity of the flowing air between the adjacent nodes. Since the operation of the equipment in the coal channel can change the temperature and humidity of the surrounding air, the scheme eliminates the interference of the equipment operation on the air temperature and humidity detection, and can reduce the probability of false judgment.

[0018] Subsequent overall situation judgment of the coal channel can intuitively understand the amount of water vapor entering the air in the coal channel according to the change of the water content of the air input into and output from the coal channel and the change of the temperature of the air. Under the same temperature, if the hanging sweat phenomenon occurs, the water content of the output air will increase, and based on whether the water content is abnormal, the possibility of water disaster in the coal channel can be predicted again.

[0019] By combining the preliminary prediction and the re-prediction results, the possibility of water disaster in the coal channel can be more accurately and comprehensively obtained. Since the adjacent nodes are collected, the position where the hanging sweat phenomenon exists can be preliminarily judged through the adjacent nodes, which is convenient for subsequent orderly evacuation of personnel in the coal channel and accurate prevention and treatment of the position where water disaster is likely to occur in the coal channel.

[0020] Through the collection and prediction of the climate, when the precipitation is large, the rising speed of the underground water level will be accelerated, which may cause the rising speed of the water level in the well to be accelerated. The detection data is corrected accordingly to reduce the interference of precipitation on the detection result.

[0021] The wind force generated when the mine ventilation system is running drives the impeller to rotate, and the rotating impeller can detect the temperature and relative humidity of each point of the output air, not limited to a fixed point, avoiding detection of only a certain point, and can more accurately obtain the water content of the output and input air, facilitating accurate judgment of whether water disaster exists in the mine.

[0022] In summary, the present scheme is no longer limited to detecting a certain point in the prior art, but detects the entire mine, and combines the detection results of each node, which can improve the accuracy of mine water disaster detection and quickly determine the location of possible water disaster.

[0023] Further, the wind speed detection module detects the wind speed and volume at the inlet and outlet of the mine ventilation system according to the rotation frequency of the impeller, and the processing module is also used to compare the wind speed and volume at the inlet and outlet of the mine ventilation system, and generate a third warning signal when the wind speed and volume at the inlet and outlet of the mine ventilation system are different.

[0024] Beneficial effect: When the humidity is high, the water vapor content in the air is large, which reduces the air density, so the wind speed and volume will also decrease, and therefore, comparing the wind speed and volume at the inlet and outlet of the mine ventilation system can reflect the change in the water content of the air discharged from the mine, facilitating judgment of whether water disaster occurs in the mine.

[0025] Further, the in-well monitoring module collects the heat generated by the equipment in the mine, calculates the temperature change caused by the heat of the air, and subtracts the temperature change caused by the heat of the air from the temperature value detected by the adjacent node to obtain the temperature value after removing the interference of the equipment. By comparing the temperature value after removing the interference of the equipment with the temperature value detected by the previous node, it is judged whether the temperature difference between adjacent nodes exceeds the threshold.

[0026] Beneficial effect: By removing the interference of the air temperature value change caused by the heat generated by the equipment, the detection accuracy of the water disaster situation between adjacent nodes is improved.

[0027] Further, the in-well monitoring module calculates the humidity change caused by the temperature change according to the temperature change caused by the equipment, and subtracts the humidity change caused by the temperature change of the air caused by the equipment from the humidity value detected by the adjacent node to obtain the humidity value after removing the interference of the equipment. By comparing the temperature value after removing the interference of the equipment with the temperature value detected by the previous node, it is judged whether the humidity difference between adjacent nodes exceeds the threshold.

[0028] Beneficial effect: By removing the interference of the air humidity value change caused by the temperature change of the equipment, the detection accuracy of the water disaster situation between adjacent nodes is improved

[0029] Further, the well monitoring module further comprises an image acquisition unit, the image acquisition unit is arranged at each node, and the image acquisition unit is used for acquiring working images of the temperature detection unit and the humidity detection unit of each node.

[0030] Beneficial effect: the working images of the temperature detection unit and the humidity detection unit are collected by the image acquisition unit, ensuring that they work in a normal working state, and ensuring that the temperature detection unit and the humidity detection unit can collect accurate temperature and humidity data.

[0031] Further, the processing module generates different levels of alarm signals according to the generated first, second and third warning signals, and when the first warning signal corresponds to the generation of the alarm signal of the corresponding level, the processing module synchronously generates the node position where the temperature difference or humidity difference exceeds the threshold value.

[0032] Beneficial effect: through different levels of alarm signals, the degree of water disaster is easily obtained, and the degree of water disaster corresponding to the first, second and third warning signals gradually decreases.

[0033] Further, the support frame movably connects a rotating shaft, the impeller is hinged in the rotating shaft, a gap is left between the shaft of the impeller and the rotating shaft, a plurality of strain gauges are circumferentially distributed in the gap, the impeller does not contact the strain gauges during vertical rotation, the impeller contacts the strain gauges on the inclined side during inclined rotation, an angle adjusting assembly is hinged to one end of the rotating shaft away from the impeller, the angle adjusting assembly is used to adjust the angle of the rotating shaft, and the processing unit is signal connected with the strain gauges and the angle adjusting assembly.

[0034] Beneficial effect: when the air output and sent at the outlet end or inlet end of the mine ventilation system is not uniform, the wind force generated by the air will cause the impeller to tilt, and the strain gauges in the gap between the tilted impeller and the rotating shaft will be extruded, and the processing unit adjusts the tilt angle of the rotating shaft according to the position of the extruded strain gauges, until the strain gauges are no longer extruded, so that the impeller always maintains perpendicularity with the flowing air, and the wind speed and wind volume at the outlet end or inlet end of the mine ventilation system can be accurately measured, and the air can be fully contacted with the humidity sensing piece and the thermistor, thereby obtaining accurate air water content.

[0035] A mine tunnel safety management method based on big data, comprising the following steps:

[0036] S1, collect the geographical position information of the coal mine, collect the hydrological information and geological information around the coal mine according to the geographical position information, collect the in-well mine tunnel position information according to the actual mining situation of the coal mine, and monitor and predict the weather information of the location of the coal mine according to the geographical position information and big data;

[0037] S2, setting nodes at positions prone to water inrush accidents according to hydrological information and geological information and mine tunnel position information, setting a temperature detection unit and a humidity detection unit at each node, the temperature detection unit and the humidity detection unit being respectively used for monitoring the temperature and the humidity of the node, the in-mine detection module being further used for collecting position and state data of equipment in the mine tunnel in real time and calculating the change amount of the equipment to the temperature and the humidity;

[0038] S3, comparing the temperature and the humidity of adjacent nodes, if the change amount of the temperature or the humidity exceeds a threshold value, judging whether there is equipment between the adjacent nodes according to the node position of the temperature detection unit and the humidity detection unit, if there is no equipment, generating a first warning information, if there is equipment, judging whether the change of the adjacent temperature or humidity is normal according to the change amount of the equipment to the temperature and the humidity, if not, generating a first warning signal;

[0039] S4, detecting the relative humidity η and the temperature t of air at the inlet end and the outlet end of the mine ventilation system, calculating the water content H of air at the inlet end and the outlet end of the mine ventilation system s :

[0040]

[0041] In the formula, p is the saturation pressure of water at t temperature, and p is the atmospheric pressure at the location of the mine. t

[0042] Comparing the water content of air at the inlet end and the outlet end of the mine ventilation system, if the difference of the water content exceeds a threshold value, a second warning signal is generated.

[0043] Additional aspects and advantages of the application will be made apparent by the following description. BRIEF DESCRIPTION OF DRAWINGS

[0044] Fig. 1 is a system block diagram of the mine tunnel safety management system embodiment of the application based on big data;

[0045] Fig. 2 is a flow block diagram of the mine tunnel safety management system embodiment of the application based on big data;

[0046] Fig. 3 is a structure schematic diagram of the air water content detection module of the mine tunnel safety management system embodiment of the application based on big data. DETAILED DESCRIPTION

[0047] ​Embodiments of the present application are described below in detail, examples of which are shown in the drawings, wherein the same or similar notations represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by reference to the drawings are exemplary only, for the purpose of explaining the present application, and should not be understood as a limitation of the present application.

[0048] In the description of the present application, it should be understood that the terms "longitudinal", "transverse", "vertical", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, which is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation of the present application.

[0049] In the description of the present application, unless otherwise specified and limited, it should be noted that the terms "mounting", "connection", "connection" should be understood broadly, for example, it can be mechanical connection or electrical connection, it can be the communication between two elements, it can be direct connection or indirect connection through intermediate medium, and the specific meaning of the above terms can be understood by those skilled in the art according to the specific circumstances.

[0050] The specific embodiments are described in detail below:

[0051] The reference signs in the drawings of the specification include: environmental monitoring module 101, in-well monitoring module 102, processing module 103, air moisture content detection module 104, wind speed detection module 105, angle adjusting assembly 1, support frame 2, impeller 3, humidity sensor 4, thermistor 5, reference circuit 6, strain gauge 7, rotating shaft 8.

[0052] The embodiments are substantially as shown in the accompanying drawings: Figs. 1-3 A mine tunnel safety management system and method based on big data, the system mainly includes an environmental monitoring module 101, an in-well monitoring module 102 and a processing module 103, the environmental monitoring module 101, the in-well monitoring module 102 and the processing module 103 communicate with each other.

[0053] The GPS positioning system of the environmental monitoring module 101 collects the geographical position information of the coal mine, collects the hydrological information and geological information around the coal mine based on remote sensing technology and GPS technology according to the geographical position information, and can preliminarily understand the underground water situation around the coal tunnel through the hydrological information and geological information; and collects the in-well mine tunnel position information according to the actual mining situation of the coal mine, and monitors the weather information of the location where the coal mine is located according to the geographical position information and big data, and predicts the weather information combined with the weather data of the location where the coal tunnel is located in the past years.

[0054] The in-well monitoring module 102 is used to set nodes at positions prone to water inrush accidents according to hydrological information and geological information and mine tunnel position information, the nodes are set near the sidewall of the coal tunnel close to underground water, a temperature detection unit and a humidity detection unit are set at each node, the temperature detection unit and the humidity detection unit are connected with the inner sidewall of the coal tunnel, and the distance between the temperature detection unit and the humidity detection unit is not greater than two meters, so that the measured data is more accurate and the data deviation is reduced. The temperature detection unit and the humidity detection unit are respectively used to monitor the temperature and humidity of the node. The temperature detection unit and the humidity detection unit can adopt a humidity sensor and a temperature sensor. An image acquisition unit is arranged at each node, the image acquisition unit is used to acquire the working image of each node temperature detection unit and humidity detection unit, and whether the temperature acquisition unit and the humidity acquisition unit operate normally is detected. The in-well monitoring module is also used to collect position and state data of equipment in the mine tunnel in real time, and calculate the change amount of the equipment to the temperature and humidity.

[0055] Specifically, the in-well monitoring module 102 collects the heat generated by the equipment in the mine tunnel, and calculates the temperature change amount caused by the heat of the air. The temperature value detected by the adjacent node is subtracted by the temperature change amount caused by the heat of the air, to obtain the temperature value after removing the interference of the equipment. By comparing the temperature value after removing the interference of the equipment with the temperature value detected by the previous node, it is judged whether the temperature difference between the adjacent nodes exceeds the threshold value. The in-well monitoring module 102 calculates the humidity change amount caused by the temperature change according to the temperature change amount caused by the equipment. The humidity value detected by the adjacent node is subtracted by the humidity change amount caused by the temperature change of the air caused by the equipment, to obtain the humidity value after removing the interference of the equipment. By comparing the temperature value after removing the interference of the equipment with the temperature value detected by the previous node, it is judged whether the humidity difference between the adjacent nodes exceeds the threshold value.

[0056] Specifically, the following formula is used for calculation:

[0057] T = T b -T Δ -T a

[0058] RH = RH b -RH Δ -RH a

[0059] In the formula, T and RH are the temperature change amount and the humidity change amount after removing the interference of the equipment, T b and T a are the temperature detected by the previous temperature detection unit and the temperature detected by the adjacent temperature detection unit, T Δ is the temperature change caused by the equipment, RH b and RH aRH Δ The temperature change brought by the equipment.

[0060] The adjacent temperature detection unit, humidity detection unit and image acquisition unit are connected in series and finally connected to the processing module 103. The processing module 103 compares the temperature and humidity of adjacent nodes. If the change of temperature or humidity exceeds the threshold value (Y T and Y RH ), it is determined whether there is equipment between the adjacent nodes according to the position of the temperature detection unit and the humidity detection unit. If there is no equipment, the first warning information is generated. If there is equipment, it is determined whether the change of temperature or humidity is normal according to the change of temperature and humidity of the equipment. If it is not normal, the first warning signal is generated. Specifically, when there is no equipment, T b -T a > Y T or RH b -RH a > Y RH , the first warning information is generated; when there is equipment, T b -T Δ -T a > Y T or RH b -RH Δ -RH a > Y EH , the first warning information is generated.

[0061] The air moisture content detection module 104 and the wind speed detection module 105 are arranged at the inlet and outlet of the mine ventilation system. The air moisture content detection module 104 includes a support frame 2, an impeller 3 and a processing unit. The support frame 2 is fixedly connected with the inner wall of the pipeline at the inlet and outlet of the mine ventilation system. A rotating shaft 8 is movably connected in the support frame 2. The impeller 3 is hinged in the rotating shaft 8. There is a gap between the shaft of the impeller 3 and the rotating shaft 8. A plurality of strain gauges 7 are circumferentially distributed in the gap. The impeller 3 does not contact the strain gauges 7 during vertical rotation. The impeller 3 contacts the strain gauges 7 on the inclined side during inclined rotation. An angle adjusting assembly 1 is hinged to the end of the rotating shaft 8 away from the impeller 3. The angle adjusting assembly 1 includes circumferentially distributed air cylinders. The output shafts of the air cylinders are hinged to the rotating shaft 8. The processing unit is signal connected with the strain gauges 7 and the air cylinders. When the air output and input at the outlet or inlet of the mine ventilation system is uneven, the wind force generated by the air will cause the impeller 3 to tilt. The strain gauges 7 in the gap between the tilted impeller 3 and the rotating shaft 8 are extruded. The processing unit adjusts the tilt angle of the rotating shaft 8 according to the position of the extruded strain gauges 7 until the strain gauges 7 are no longer extruded, so that the impeller 3 always maintains perpendicularity with the flowing air.

[0062] The impeller 3 rotates with the operation of the ventilation system. Several humidity sensors 4 and thermistors 5 are evenly distributed around the circumference of the impeller 3. Both the humidity sensors 4 and thermistors 5 are electrically connected to a reference circuit 6. The reference circuit 6 is used to detect the capacitance or resistance of the humidity sensors 4 and the resistance of the thermistors 5. The processing unit obtains the relative humidity η and temperature t of the air at the inlet and outlet of the mine ventilation system based on the capacitance or resistance of the humidity sensors 4 and the resistance of the thermistors 5 detected by the reference circuit 6, and calculates the moisture content H of the air at the inlet and outlet of the mine ventilation system. s :

[0063]

[0064] In the formula p t Let t be the saturation pressure of water at temperature t, and p be the atmospheric pressure at the mine location. A temperature compensation unit is introduced based on the temperature difference between the inlet and outlet of the mine ventilation system. The temperature compensation unit is based on the change in input and output temperatures minus the increase in water content due to temperature.

[0065] The processing module 103 is also used to compare the moisture content of the air at the inlet and outlet of the mine ventilation system. If the difference in moisture content exceeds the threshold, a second warning signal is generated.

[0066] The wind speed detection module 105 detects the wind speed and air volume at the inlet and outlet of the mine ventilation system based on the rotation frequency of the impeller 3. The processing module 103 also compares the wind speed and air volume at the inlet and outlet of the mine ventilation system, generating a third early warning signal when the difference between the wind speed and air volume at the inlet and outlet of the mine ventilation system is abnormal. When the humidity is high, the water vapor content in the air is large, resulting in a decrease in air density, and therefore the wind speed and air volume will also decrease. Therefore, comparing the wind speed and air volume at the inlet and outlet of the mine ventilation system can indirectly reflect the change in the moisture content of the air discharged from the mine tunnel, which is helpful in judging whether a flood has occurred in the mine tunnel.

[0067] The aforementioned processing module 103 and processing unit preferably adopt STM32F103ZET6 and AT89C51, respectively. The processing module 103 generates red alarm signal, yellow alarm signal and green alarm signal respectively based on the first warning signal, the second warning signal and the third warning signal, and provides different prompts to personnel in the mine tunnel according to the different alarm signals.

[0068] A big data-based method for mine safety management includes the following steps:

[0069] S1, collect the geographic location information of the coal mine, collect the hydrological information and geological information around the coal mine according to the geographic location information, collect the mine tunnel position information in the mine according to the actual mining condition of the coal mine, and monitor and predict the weather information of the position of the coal mine according to the geographic location information and big data;

[0070] S2, set nodes at positions prone to water inrush accidents according to the hydrological information, geological information and mine tunnel position information, set temperature detection units and humidity detection units at each node, the temperature detection units and humidity detection units are respectively used for monitoring the temperature and humidity of the node, the in-mine detection module is also used for collecting the position and state data of the equipment in the mine tunnel in real time, and calculating the change amount of the equipment to the temperature and humidity;

[0071] S3, compare the temperature and humidity of adjacent nodes, if the change amount of temperature or humidity exceeds the threshold value, determine whether there is equipment between adjacent nodes according to the node position of the temperature detection unit and humidity detection unit, if there is no equipment, generate a first warning information, if there is equipment, determine whether the adjacent temperature or humidity change is normal according to the change amount of the equipment to the temperature and humidity, if not, generate a first warning signal;

[0072] S4, detect the relative humidity η and temperature t of the air at the inlet and outlet of the mine ventilation system, calculate the water content H of the air at the inlet and outlet of the mine ventilation system s :

[0073]

[0074] In the formula, p t is the saturation pressure of water at t temperature, p is the atmospheric pressure at the location of the mine;

[0075] Compare the water content of the air at the inlet and outlet of the mine ventilation system, if the difference of the water content exceeds the threshold value, generate a second warning signal.

[0076] The above is only an embodiment of the present application, and the common knowledge of specific structure and / or characteristics in the scheme is not described in detail. It should be pointed out that for those skilled in the art, without departing from the structure of the present application, some deformations and improvements can be made, which should be regarded as the protection scope of the present application, which will not affect the effect and practicality of the patent. The protection scope claimed in this application should be subject to the content of its claims, and the specific implementation mode and the like in the specification can be used to explain the content of the claims.

Claims

1. A big data based mine safety management system, characterized in that: The environment monitoring module is used for collecting geographical position information of the coal mine, collecting hydrological information and geological information around the coal mine according to the geographical position information, collecting mine tunnel position information according to actual mining conditions of the coal mine, and monitoring and predicting meteorological information of a position where the coal mine is located according to the geographical position information and big data. The in-well monitoring module is used for setting nodes at positions where water inrush accidents are prone to occur according to the hydrological information, the geological information and the mine tunnel position information, setting a temperature detection unit and a humidity detection unit at each node, and monitoring temperature and humidity at the node by the temperature detection unit and the humidity detection unit respectively. The processing module is used for comparing temperature and humidity of adjacent nodes, and if a change amount of the temperature or the humidity exceeds a threshold value, judging whether there is equipment between the adjacent nodes according to a node position to which the temperature detection unit and the humidity detection unit belong, generating a first warning information if there is no equipment, and generating a first warning signal if there is equipment. The processing module is also used for comparing water content of air at an inlet end and an outlet end of the mine ventilation system, and generating a second warning signal if a difference of the water content exceeds a threshold value. The air moisture content detection module is arranged at the inlet end and the outlet end of the mine ventilation system, and comprises a support frame, an impeller and a processing unit. The support frame is fixedly connected with the inner wall of the pipeline at the inlet end and the outlet end of the mine ventilation system. The impeller is rotatably connected with the support frame and can rotate with the operation of the ventilation system. A plurality of humidity sensor pieces and thermistors are circumferentially distributed on the impeller. The humidity sensor pieces and the thermistors are electrically connected with a reference circuit. The reference circuit is used for detecting the capacitance or resistance of the humidity sensor pieces and the resistance of the thermistors. The processing unit obtains the relative humidity η and the temperature t of the air at the inlet end and the outlet end of the mine ventilation system according to the capacitance or resistance of the humidity sensor pieces and the resistance of the thermistors detected by the reference circuit, and calculates the moisture content H of the air at the inlet end and the outlet end of the mine ventilation system s : where p is the pressure of the water at temperature t, and p is the atmospheric pressure at the mine site. t where p is the pressure of the water at temperature t, and p is the atmospheric pressure at the mine site. The wind speed detection module is also included, which detects wind speed and wind volume at the inlet end and the outlet end of the mine ventilation system according to a rotation frequency of an impeller.

2. The big data based mine safety management system according to claim 1, wherein: The in-well monitoring module collects heat generated by equipment in the mine tunnel, calculates a temperature change amount caused by the heat of the air, and obtains a temperature value after equipment interference is removed by subtracting the temperature change amount from a temperature value detected by an adjacent node.

3. The big data based mine safety management system according to claim 1, wherein: The in-well monitoring module also includes an image acquisition unit arranged at each node, which is used for acquiring working images of the temperature detection unit and the humidity detection unit at each node.

4. The big data based mine safety management system according to claim 1, wherein: The processing module generates different levels of alarm signals according to the first warning signal, the second warning signal and the third warning signal, and generates a node position where a temperature difference or a humidity difference exceeds a threshold value synchronously when the first warning signal corresponds to the level of the alarm signal.

5. The big data based mine safety management system according to claim 2, wherein: ​ 6. The big data based mine safety management system according to claim 1, wherein: The support frame is movably connected with a rotating shaft, and the impeller is hinged in the rotating shaft. A gap is left between the shaft of the impeller and the rotating shaft, and a plurality of strain gauges are circumferentially distributed in the gap. The impeller does not contact the strain gauges during vertical rotation, but contacts the strain gauges on the inclined side during inclined rotation. An angle adjusting assembly is hinged to the end of the rotating shaft away from the impeller. The angle adjusting assembly is used to adjust the angle of the rotating shaft. The processing unit is signal connected with the strain gauges and the angle adjusting assembly.

7. A big data-based mine safety management method, characterized in that: The method comprises the following steps: S1, collecting the geographic location information of the coal mine, collecting the hydrological information and geological information around the coal mine according to the geographic location information, collecting the mine tunnel position information in the mine according to the actual mining situation of the coal mine, and monitoring and predicting the weather information of the position of the coal mine according to the geographic location information and big data; S2, setting nodes at positions prone to water inrush accidents according to the hydrological information, the geological information and the mine tunnel position information, setting temperature detection units and humidity detection units at each node, the temperature detection units and the humidity detection units being used for monitoring the temperature and humidity of the nodes respectively, the in-mine monitoring module also being used for collecting the position and state data of the equipment in the mine tunnel in real time and calculating the change amount of the equipment to the temperature and humidity; S3, comparing the temperature and humidity of adjacent nodes, if the change amount of the temperature or the humidity exceeds a threshold value, judging whether there is equipment between the adjacent nodes according to the node position of the temperature detection unit and the humidity detection unit, if there is no equipment, generating a first warning information, if there is equipment, judging whether the change of the adjacent temperature or humidity is normal according to the change amount of the equipment to the temperature and humidity, if not, generating a first warning signal; S4, detecting the relative humidity η and temperature t of the air at the inlet end and outlet end of the mine ventilation system, and calculating the water content H of the air at the inlet end and outlet end of the mine ventilation system s : where p is the pressure of the water at temperature t, and p is the atmospheric pressure at the mine site. t where p is the pressure of the water at temperature t, and p is the atmospheric pressure at the mine site. Comparing the water content of the air at the inlet end and the outlet end of the mine ventilation system, if the difference of the water content exceeds a threshold value, generating a second warning signal.

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