CN206753656U - Mine coal spontaneous combustion characteristic information high density network monitoring and warning system - Google Patents

Abstract

The utility model provides a high-density networked monitoring and early warning system for mine coal spontaneous combustion characteristic information. The system includes a multi-parameter wireless sensor node and a wireless monitoring base station; an infrared remote control module, a miniature negative pressure pump module and a 485 module in the multi-parameter wireless sensor node. The sound and light alarm modules are all connected to the first single-chip microcomputer, the sensor module is connected to the first single-chip microcomputer, the first single-chip computer is connected to the first wireless ad hoc network module, the first wireless ad hoc network module is connected to the wireless monitoring base station, and the wireless monitoring base station The second wireless ad hoc network module is connected with the second single-chip computer, the touch screen, the data storage module, the 485 module and the RJ45 module are all connected with the second single-chip computer, the second wireless ad hoc network module is connected with the ring network switch, and the ring network switch passes through The communication optical cable uploads the transmission information to the ground monitoring center. The monitoring and early warning system can effectively predict and locate the hidden dangers of coal spontaneous combustion in mines early, and solve the harm caused by coal spontaneous combustion to mine production.

Description

High-density network monitoring and early warning system for mine coal spontaneous combustion characteristic information

technical field

The utility model relates to a mine safety monitoring and monitoring system, in particular to a high-density networked monitoring and early warning system for mine coal spontaneous combustion characteristic information.

Background technique

The current situation of coal mine production in my country is as follows: the depth of mine mining is developed, the stress of surrounding rock is large, there is a lot of coal left in fully mechanized caving, the law of air leakage is complex and changeable, and the risk of spontaneous combustion is large; Strong air leakage, a large amount of loose coal remains in the adjacent section, which is easy to oxidize and heat up. The mined-out areas formed by mining are gradually connected together, and there are serious impacts, gas, poisonous and harmful gases gushing out, and coal spontaneous combustion hazards in large-scale gobs. Especially after the production of some mining areas of the mine ends and is closed, the large-area goaf threatens mine safety production more and more seriously. The coal and rock mass destruction and the non-uniform release of gas in the goaf, under the condition of ventilation and oxygen supply, Cause goaf coal seam spontaneous combustion and a large amount of combustible gas release, induce goaf spontaneous combustion or combustible gas explosion disaster accidents, seriously threatening the safety of miners' lives and property. There are many channels for coal throwing and air leakage in the goaf. Affected by factors such as mining activities and changes in atmospheric pressure, "breathing" air leakage is prone to cause accidents such as coal accidents.

At present, my country's coal mine safety monitoring technology has been greatly improved, but in terms of coal fire disaster perception, there are still deficiencies in the information processing of the monitoring system, the limited data resources "mining" analysis is not enough, and the degree of spontaneous combustion risk identification and prevention and control decisions are insufficient. Insufficient amount of information prevents timely detection of early hidden dangers of coal spontaneous combustion, which seriously restricts the development of coal fire disaster monitoring and early warning technology. The existing fire prevention and extinguishing methods are not highly targeted. Conventional fire prevention and extinguishing technologies such as grouting and nitrogen injection lack efficiency and long-term effectiveness, making it difficult to achieve effective prevention and control. Therefore, the study of wireless monitoring and early warning technology in spontaneous combustion dangerous areas has practical application value for the improvement of coal spontaneous combustion monitoring technology level. The spontaneous combustion of residual coal in the goaf presents a dynamic change feature. The manual monitoring range is large, the period is long, and the continuity is poor. In addition, there are many measuring points, long distances, and complex environments, making monitoring difficult. This makes the management and monitoring of the goaf difficult. It is very difficult to realize disaster prediction and early warning of goaf areas, and cannot provide a basis for timely and effective prevention of spontaneous combustion disasters.

Utility model content

In order to solve the problem that the existing detection technology is difficult to realize effective disaster prediction and early warning for gobs, the utility model provides a high-density networked monitoring and early warning of mine coal spontaneous combustion characteristic information that can effectively early warning and locate coal mine fire hazards system.

The technical scheme of the utility model is as follows: the high-density networked monitoring and early warning system for mine coal spontaneous combustion characteristic information includes a plurality of multi-parameter wireless sensor nodes and a plurality of wireless monitoring base stations; the multi-parameter wireless sensor nodes include an energy supply module and a sensor module , signal conditioning circuit, the first single-chip microcomputer, the first wireless ad hoc network module, infrared remote control module, miniature negative pressure pump module, 485 module, sound and light alarm module and explosion-proof casing; the miniature negative pressure pump module provides multi-parameter wireless sensor nodes The sample gas required for gas detection, the infrared remote control module is used for the calibration of multi-parameter wireless sensor nodes, the energy supply module provides power for multi-parameter wireless sensor nodes; infrared remote control module, miniature negative pressure pump module, 485 module, sound and light alarm module All communicate with the first single-chip computer, the first wireless ad hoc network module includes a wireless communication module; the sensor module is connected to the I/O port of the first single-chip computer through a signal conditioning circuit, and the first single-chip computer is connected to the first wireless ad hoc network module for communication , the first wireless ad hoc network module is connected to the wireless monitoring base station through an antenna; the wireless monitoring base station includes a second single chip microcomputer, an energy supply module, a data storage module, a 485 module, an RJ45 module, a second wireless ad hoc network module, a touch screen and an explosion-proof casing The energy supply module provides power for the wireless monitoring base station, the second wireless ad hoc network module communicates with the first wireless ad hoc network module through the antenna, the second wireless ad hoc network module is connected with the second single-chip microcomputer, the touch screen, the data storage module, Both the 485 module and the RJ45 module communicate with the second single-chip computer, and the second single-chip computer communicates with the flameproof and intrinsically safe ring network switch through the 485 module or the RJ45 module, and the flameproof and intrinsically safe ring network switch transmits information through the communication optical cable. Upload to the ground monitoring center.

In the above technical solution, in order to make the multi-parameter wireless sensor node work stably and reliably for a long time in the harsh environment of the coal mine, the sensor module of the multi-parameter wireless sensor node can be a built-in sensor, and the built-in sensor is set in the gas chamber, and the gas chamber is provided with a second One quick pneumatic connector and the second quick pneumatic connector, the first quick pneumatic connector is connected to the micro negative pressure pump module through the silicone tube, the second quick pneumatic connector is connected to the dust filter through the silicone tube, and the gas is discharged to the environment through the dust filter middle.

The aforementioned sensor module may include a carbon monoxide sensor, an oxygen sensor, a methane sensor, a differential pressure sensor, a temperature sensor, and a humidity sensor.

The optimal wireless communication distance between adjacent multi-parameter wireless sensor nodes is ≤2000m.

Further, considering the redundancy of the wireless monitoring system, the optimal wireless communication distance between adjacent multi-parameter wireless sensor nodes is ≤500m.

The preferred distance between the multi-parameter wireless sensor nodes and the wireless monitoring base station is ≤2000m.

Further, considering the stability and reliability of the wireless monitoring system, the optimal distance between the multi-parameter wireless sensor nodes and the wireless monitoring base station is ≤500m.

In the process of data collection, the high-density networked monitoring and early warning system for mine coal spontaneous combustion characteristic information can adopt the algorithm of dynamically adjusting the first-order filter coefficient, including the following steps:

1) The sensor module samples the variable three times, which are the first sampling value X(n-2), the second sampling value X(n-1), and the third sampling value X(n), and the sampling values are respectively storage;

2) Calculate the difference between the second sampling value and the first sampling value, calculate the difference between the third sampling value and the second sampling value, and compare whether the direction of the difference change is consistent. If the difference is both positive or If both are negative, the direction of difference change is the same, if the difference is positive and negative, the direction of difference change is opposite;

3) If the change direction of the difference is opposite, the two variables of the filter counter and the filter coefficient are cleared, and the value α of the current filter coefficient is output;

4) If the change direction of the difference is the same, add 1 to the filter counter variable; judge whether the absolute value of the difference is greater than the set threshold, if the difference is greater than the threshold, add 2 to the filter counter variable, if the difference is less than the threshold, Then jump out of the judgment; judge whether the filter counter reaches the upper limit of counting, if it reaches the upper limit of counting, then sum the filter coefficient and the increment of the coefficient, and clear the filter counter, if the filter counter does not reach the upper limit of counting, then jump out of the loop;

5) Output the value α of the current filter coefficient;

6) Use the first-order low-pass filter to bring the filter coefficient α into the algorithm formula Y(n)=αX(n)(1-α)Y(n-1) to obtain the output value of this filter Y(n) , where α is the filter coefficient and Y(n-1) is the output value of the last filter.

Preferably, a multi-sensor information fusion algorithm can be used for data fusion of the mine coal spontaneous combustion characteristic information high-density networked monitoring and early warning system.

The beneficial effects of the utility model are:

1. The application of the monitoring and early warning system can effectively provide early warning and locate hidden dangers of coal spontaneous combustion, solve the hazards caused by coal fire disasters to mine safety production, and ensure the timeliness and efficiency of coal spontaneous combustion prevention and fire extinguishing work in mines. By obtaining effective and accurate characteristic information of coal spontaneous combustion, the system performs fusion identification, situation evaluation and threat estimation as a criterion for coal spontaneous combustion diagnosis and early warning, so as to achieve the purpose of correct identification and early warning, and reduce false alarm rate and missed alarm rate Realize the dynamic monitoring and early warning of coal spontaneous combustion characteristic information in goafs, and provide an important decision-making basis for the isolation, closure and control of coal spontaneous combustion fires in mine goafs.

2. The utility model adopts a multi-parameter wireless sensor node integrating carbon monoxide gas sensor, oxygen sensor, methane gas sensor, pressure difference sensor, temperature sensor and humidity sensor. The networking speed is fast, the self-organizing network has many hops, and the network scale is large , which can realize high-density network dynamic monitoring and hidden danger identification of coal spontaneous combustion dangerous areas. Adopt the method of modular design, shorten the distance between components, and the power line and ground line are consistent with the data transmission direction to improve the anti-interference performance of the PCB board, and connect decoupling capacitors near the power input terminals of each integrated circuit to suppress the interference of the power supply .

3. The utility model proposes the arrangement of wireless measuring points in coal spontaneous combustion dangerous areas, determines the key parameters of the multi-parameter wireless sensor node arrangement, optimizes the arrangement of measuring points, and solves the problems left behind in the large-area goaf working face. Technical problems of dynamic monitoring and early warning in coal areas, airsides, and confined areas. In view of the characteristics of wide range of gobs and complex environment, this layout has the advantages of easy laying and maintenance, and can continuously monitor the change trend of coal spontaneous combustion online. When the temperature or a certain gas concentration exceeds the normal range, an alarm will be issued. Timely early warning and positioning of abnormal changes in coal spontaneous combustion information.

4. The monitoring and early warning system uses a multi-sensor information fusion algorithm during data fusion to fuse the multi-component index gas and temperature information of coal spontaneous combustion at different locations, and determines the quantitative relationship between the temperature in the coal spontaneous combustion dangerous area and the concentration of each index gas, making the sensor nodes Realize information exchange and fault self-diagnosis among them, and realize the intelligence of the sensor.

5. During the data collection process of the monitoring and early warning system through multi-parameter wireless sensor nodes, the algorithm of dynamically adjusting the first-order filter coefficient is used to solve the shortcomings of the contradiction between sensitivity and stability in the data collection process, and to improve the efficiency of data collection in complex underground environments. accuracy.

Description of drawings

Fig. 1 is a structural block diagram of a high-density networked monitoring and early warning system for mine coal spontaneous combustion characteristic information of the utility model;

Fig. 2 is a structural block diagram of a multi-parameter wireless sensor node in an embodiment of the present invention;

FIG. 3 is a structural block diagram of a wireless monitoring base station according to an embodiment of the present invention;

Fig. 4 is the structural block diagram of the sensor module of the utility model embodiment;

Fig. 5 is the multi-sensor information exchange fusion algorithm diagram of the utility model;

Fig. 6 is an algorithm diagram for dynamically adjusting the first-order filter coefficient of the present invention.

Reference signs: 1-energy supply module, 2-sensor module, 3-signal conditioning circuit, 4-the first single-chip microcomputer, 5-the first wireless ad hoc network module, 6-infrared remote control module, 7-miniature negative pressure pump module , 8-485 module, 9-sound and light alarm module, 11-temperature sensor, 12-humidity sensor, 13-methane sensor, 14-carbon monoxide sensor, 15-oxygen sensor, 16-differential pressure sensor, 18-energy supply module, 19-Second wireless ad hoc network module, 20-Second MCU, 21-Touch screen, 22-RJ45 module, 23-Data storage module, 24-485 module

detailed description

Below in conjunction with accompanying drawing, technical scheme of the present utility model is described in further detail:

As shown in Figure 1, Figure 2, and Figure 3, the mine coal spontaneous combustion characteristic information high-density networked monitoring and early warning system includes multiple mining intrinsically safe multi-parameter wireless sensor nodes and multiple mining intrinsically safe wireless sensor nodes installed underground. Monitoring base station; mining intrinsically safe multi-parameter wireless sensor node includes energy supply module 1, sensor module 2, signal conditioning circuit 3, first single-chip microcomputer 4, first wireless ad hoc network module 5, infrared remote control module 6, miniature negative pressure Pump module 7, 485 module 8, sound and light alarm module 9 and explosion-proof housing; miniature negative pressure pump module 7 uses a miniature negative pressure pump to provide the sample gas required for gas detection for mine intrinsically safe multi-parameter wireless sensor nodes. The gas information is transmitted to the first single-chip microcomputer 4; the infrared remote control module 6 is used for the calibration of mine-used intrinsically safe multi-parameter wireless sensor nodes, and the energy supply module 1 includes an external power supply circuit, a mine-used lithium manganate battery pack and a secondary protection circuit board to provide power for mining intrinsically safe multi-parameter wireless sensor nodes; the infrared remote control module 6, miniature negative pressure pump module 7, 485 module 8, and sound and light alarm module 9 are all connected to the first single-chip microcomputer 4 through communication, and the first wireless self- The networking module 5 includes a wireless communication module; the sensor module 2 is docked with the I/O port of the first single-chip microcomputer 4 through the signal conditioning circuit 3, and the first single-chip microcomputer 4 is communicatively connected with the first wireless ad hoc network module 5, and the first wireless ad hoc network module 5 is connected. The network module 5 is connected with the mine-used intrinsically safe wireless monitoring base station through an antenna.

Mine intrinsically safe wireless monitoring base station includes a second single-chip microcomputer 20, an energy supply module 18, a data storage module 23, a 485 module 24, an RJ45 module 22, a second wireless ad hoc network module 19, a touch screen 21, an explosion-proof casing, and an energy supply module 18 includes an external power supply circuit, lithium manganate battery pack and secondary protection circuit board for mine use, providing power for mine intrinsically safe wireless monitoring base stations, and the second wireless ad hoc network module 19 communicates with the first wireless ad hoc network through the antenna. Module 5 is connected by communication, the second wireless ad hoc network module 19 is connected with the second single-chip microcomputer 20, touch screen 21, data memory, 485 module 24 and RJ45 module 22 are all connected with the second single-chip computer 20, the second single-chip microcomputer 20 passes through 485 module 24 Or the RJ45 module 22 communicates with the mine flameproof and intrinsically safe ring network switch, and the mine flameproof and intrinsically safe ring network switch uploads the transmission information to the ground monitoring center through the mine communication optical cable.

As shown in Figure 4, in order to make the multi-parameter wireless sensor node work stably and reliably for a long time in the harsh environment of the coal mine, the sensor module 2 of the multi-parameter wireless sensor node is a built-in sensor, and the built-in sensor is set in the sensor gas chamber. There are a first quick pneumatic connector and a second quick pneumatic connector. The first quick pneumatic connector is connected to the miniature negative pressure pump module 7 through a silicone tube, and the second quick pneumatic connector is connected to a dust filter through a silicone tube, and the gas is discharged through the dust filter. release into the environment. The sensor module 2 includes a carbon monoxide sensor 14 , an oxygen sensor 15 , a methane sensor 13 , a differential pressure sensor 16 , a temperature sensor 11 and a humidity sensor 12 .

The first wireless ad hoc network module 5 is American DigiXBee PRO, the signal input pin DIN of the first wireless ad hoc network module 5 is connected with the 79th pin of the first single chip microcomputer 4STM32F, the signal of the first wireless ad hoc network module 5 The output pin DOUT is connected with the 80th pin of the first single-chip microcomputer 4STM32F. The power pin VCC of the first wireless ad hoc network module 5 is connected to the 3.3V voltage output terminal VCC1_3.3V of the first 3.3V power supply battery, and the ground pin GND of the first wireless ad hoc network module 5 is grounded.

The second wireless ad hoc network module 19 is American DigiXBee PRO, the signal input pin DIN of the second wireless ad hoc network module 19 is connected with the 79th pin of the second single chip microcomputer 20STM32F, the second wireless ad hoc network module 192-3 The signal output pin DOUT of the second microcontroller 20STM32F is connected to the 80th pin.

Mine-used intrinsically safe multi-parameter wireless sensor node collects data from the sensor through the first single-chip microcomputer 4, then sends data through the first wireless ad hoc network module 5, and sends the data to the second wireless ad hoc network module 19, when The second wireless ad hoc network module 19 works under the slave mode, and notifies the second single-chip microcomputer STM32F to accept the newly received data frame in the buffer by an interrupt mode. The networking module 19 issues commands or reads and writes data. In order to prevent the recorded data from exceeding the internal storage resources of the second single-chip microcomputer STM32F, a serial data memory is expanded externally. The second single-chip microcomputer STM32F is connected to the RS485 circuit, and the RS485 circuit is connected to the upper computer of the computer. The operating status of the second single-chip microcomputer STM32F can be displayed on the upper computer of the computer through the serial port, which can greatly facilitate debugging.

When the required communication distance is tens of meters to thousands of meters, RS-485 serial bus is widely used. RS-485 uses balanced transmission and differential reception, so it has the ability to suppress common mode interference. In addition, the bus transceiver has high sensitivity and can detect the voltage as low as 200mV, so the transmission signal can be recovered beyond a kilometer. RS-485 is very convenient for multi-point interconnection, which can save many signal lines.

Under the coal mine, there are multiple intrinsically safe multi-parameter wireless sensor nodes and multiple intrinsically safe wireless monitoring base stations for mining. The distance between each adjacent intrinsically safe multi-parameter wireless sensor node The distances between the mine intrinsically safe multi-parameter wireless sensor nodes adjacent to the mine intrinsically safe wireless monitoring base station for sending and receiving and the wireless sending and receiving mine intrinsically safe wireless monitoring base station are all less than or equal to the transmission distance of the wireless self-organizing multi-hop network. Each mine intrinsically safe wireless monitoring base station is wirelessly connected with one or more mine intrinsically safe multi-parameter wireless sensor nodes. The distance between adjacent mining intrinsically safe multi-parameter wireless sensor nodes is ≤2000m. Considering the redundancy of the wireless monitoring system, the optimal wireless communication distance between adjacent mining intrinsically safe multi-parameter wireless sensor nodes is ≤500m. The distance between the mine intrinsically safe multi-parameter wireless sensor node and the mine intrinsically safe wireless monitoring base station is ≤2000m. Considering the stability and reliability of the wireless monitoring system, the optimal distance between mine intrinsically safe multi-parameter wireless sensor nodes and mine intrinsically safe wireless monitoring base stations is ≤500m.

Due to the different lengths of fully-mechanized caving surfaces in different mines, the number of mine-used intrinsically safe multi-parameter wireless sensor nodes and the distance between wireless transceiver mine-used intrinsically-safe wireless monitoring base stations can be flexibly selected according to the actual length of the mine-used fully-mechanized caving surfaces. This system is to lay wireless multi-parameter sensors in dangerous areas prone to coal spontaneous combustion, to collect and monitor coal spontaneous combustion characteristic information gases such as temperature and humidity, pressure difference, CO, CH ₄ , O ₂ , etc. The monitoring results are sent to the mine-used intrinsically safe wireless monitoring base station. After monitoring and early warning processing, the abnormal situation can be warned and located in time, so that relevant measures can be taken. In view of the complex environment of underground coal spontaneous combustion hidden fire sources, it can continuously monitor the change trend of coal spontaneous combustion online, and timely warn and locate the abnormal changes of coal spontaneous combustion characteristic information.

As shown in Figure 6, in the process of data collection by the first single-chip microcomputer 4 through the mining intrinsically safe multi-parameter wireless sensor node, an algorithm for dynamically adjusting the first-order filter coefficient is adopted to solve the conflict between sensitivity and stability in the data collection process problems and improve the accuracy of data collection. The algorithm adopted by the first single-chip microcomputer 4 in the process of data acquisition is a dynamic adjustment first-order filter coefficient algorithm, comprising the following steps:

1) The sensor module 2 samples the variable three times, which are the first sampling value X(n-2), the second sampling value X(n-1), and the third sampling value X(n), and the sampling value store separately;

2) Calculate the difference between the second sampling value and the first sampling value, calculate the difference between the third sampling value and the second sampling value, and compare whether the direction of the difference change is consistent. If the difference is both positive or If both are negative, the direction of difference change is the same, if the difference is positive and negative, the direction of difference change is opposite;

3) If the change direction of the difference is opposite, the two variables of the filter counter and the filter coefficient are cleared, and the value α of the current filter coefficient is output;

4) If the change direction of the difference is the same, add 1 to the filter counter variable; judge whether the absolute value of the difference is greater than the set threshold, if the difference is greater than the threshold, add 2 to the filter counter variable, if the difference is less than the threshold, Then jump out of the judgment; judge whether the filter counter reaches the upper limit of counting, if it reaches the upper limit of counting, then sum the filter coefficient and the increment of the coefficient, and clear the filter counter, if the filter counter does not reach the upper limit of counting, then jump out of the loop;

5) Output the value α of the current filter coefficient;

6) Use the first-order low-pass filter to bring the filter coefficient α into the algorithm formula Y(n)=αX(n)(1-α)Y(n-1) to obtain the output value of this filter Y(n) , where α is the filter coefficient and Y(n-1) is the output value of the last filter.

In the algorithm for dynamically adjusting the first-order filter coefficient:

Input data: first sampling value, second sampling value, third sampling value;

Data output: the coefficient of this filter;

Constant: coefficient increment (the selection of the value affects the sensitivity of the filter), the maximum value of the filter counter (affects the jitter of the data), the maximum value of the sampling difference (the selection of the value affects the sensitivity of the filter);

The first-order low-pass filter weights the sampling value of this time and the output value of the last filter to obtain an effective filter value, so that the output value has a feedback effect on the input. The characteristics are: the smaller the filter coefficient, the more stable the filter result, but the lower the sensitivity; the larger the filter coefficient, the higher the sensitivity, but the more unstable the filter result.

For an improved interpretation of the filtering algorithm, the algorithm should implement the following functions:

1. When the range of data changes before and after is large, the filtered results can keep up with the range of changes before processing in time (that is, the sensitivity is high), and the faster the data changes, the higher the sensitivity.

2. When the data change tends to be stable, it can be considered that when a certain data fluctuates and oscillates, the filtered result tends to be stable (that is, the stability is high).

3. When the data is stable, the filtered result is approximately equal to the sampled data

Specific implementation: Before the data is filtered, pre-judgment is performed first, and the data is sampled three times. If the direction of the change of the residual data is the same (that is, increase or decrease at the same time), the filter coefficient will be continuously increased. If the data change continues to increase If it is larger (greater than the threshold set in advance), the filter coefficient will be increased faster. If the three sampling data changes are inconsistent (that is, some data increases and some data decreases), it indicates that there is a stability error, and the filter coefficient is cleared at this time.

When the data collected by the first single-chip microcomputer 4 sensors is fused through the program algorithm and exceeds the threshold of realistic theoretical data, at this time, the current sensor communicates with the surrounding sensors for data comparison. If the data detected by the surrounding sensors is different from the current sensor When it is larger, it means that the current sensor has been damaged and cannot continue to be used. An abnormal signal is sent to the mine-used intrinsically safe wireless monitoring base station, and the ground staff is notified to carry out inspection and maintenance. The feature information obtained by feature-level fusion has good fault tolerance. , compare data with surrounding sensors, reduce misjudgment rate, improve work efficiency, and facilitate maintenance and use.

As shown in FIG. 5 , a multi-sensor information fusion algorithm may be used for data fusion in the first single-chip microcomputer 4 . Whether a fault occurs is determined by monitoring whether the collected data exceeds the actual and possible conditions. If a fault occurs, a fault signal is sent to the mine-used intrinsically safe wireless monitoring base station, and the staff is notified for maintenance. The application of multi-sensor information fusion algorithm can improve the performance of sensor detection, improve the credibility of judgment, reduce the ambiguity of information, save a lot of data processing time for ground staff, and improve work efficiency. Using the feature information extracted from the raw data of each sensor for comprehensive analysis and processing, different types of sensors observe the same area, and each sensor completes data collection, preprocessing, feature extraction, identification or judgment in the first single-chip computer 4, Obtain the joint deduction results, if the fusion data deviates from the theoretical extreme value of the gas constant, a false alarm will be sent to the ground staff to come for maintenance.

The scope of protection of the present utility model is not limited to the specific implementation of the present utility model. For those skilled in the art, under the enlightenment of the present utility model, it is possible to directly derive from the disclosure content of this patent to associate some principles and the same structure. Basic deformation, or the replacement of commonly used known technologies in the prior art, as well as the simple replacement of technical features with different combinations of the same features and the same or similar technical effects, especially the application technology and products of coal spontaneous combustion, all belong to the technology of this utility model scope of protection.

Claims (7)

1. A kind of 1. mine coal spontaneous combustion characteristic information high density network monitoring and warning system, it is characterised in that：Including multiple more ginsengs Number wireless sensor node and multiple wireless monitor base stations；Multiparameter wireless sensor node includes energy supply module, sensing Device module, signal conditioning circuit, the first single-chip microcomputer, the first wireless self-networking module, infrared remote control module, Miniature negative pressure pump mould Block, 485 modules, sound and light alarm module and explosion-resistant enclosure；Minitype negative pressure pump module provides gas for multiparameter wireless sensor node Required sample gas is surveyed in physical examination, and infrared remote control module is used for the calibration of multiparameter wireless sensor node, and energy supply module is more Parameter wireless sensor node provides power supply；Infrared remote control module, Minitype negative pressure pump module, 485 modules, sound and light alarm module are equal It is connected with the first single chip communication, the first wireless self-networking module includes wireless communication module；Sensor assembly is adjusted by signal Reason circuit docks with the I/O mouths of the first single-chip microcomputer, and the first single-chip microcomputer and the first wireless self-networking module communicate to connect, and first is wireless MANET module is connected by antenna with wireless monitor base station；

   Wireless monitor base station includes second singlechip, energy supply module, data memory module, 485 modules, RJ45 modules, the Two wireless self-networking modules, touch-screen and explosion-resistant enclosure；Energy supply module provides power supply for wireless monitor base station, and second is wireless MANET module is communicated to connect by antenna and the first wireless self-networking module, the second wireless self-networking module and second singlechip Connection, touch-screen, data memory module, 485 modules and RJ45 modules communicate to connect with second singlechip, and second singlechip leads to Cross 485 modules or RJ45 modules to communicate to connect with Flameproof and intrinsically safe ring exchanger, Flameproof and intrinsically safe ring exchanger leads to Cross communications optical cable and upload to ground monitoring center by information is transmitted.
2. 2. mine coal spontaneous combustion characteristic information high density network monitoring and warning system according to claim 1, its feature exist In：The sensor assembly of multiparameter wireless sensor node is built-in sensor, and built-in sensor is arranged in air chamber, gas Room is provided with the first fast pneumatic joint and the second fast pneumatic joint, and the first fast pneumatic joint is born by silicone tube with miniature Press pump module is connected, and the second fast pneumatic joint is connected by silicone tube with dust filter unit.
3. 3. mine coal spontaneous combustion characteristic information high density network monitoring and warning system according to claim 2, its feature exist In：Sensor assembly include carbon monoxide transducer, oxygen sensor, methane transducer, differential pressure pickup, temperature sensor and Humidity sensor.
4. 4. mine coal spontaneous combustion characteristic information high density network monitoring and warning system according to claim 1, its feature exist In：Wireless communication distance≤2000m between adjacent multiparameter wireless sensor node.
5. 5. mine coal spontaneous combustion characteristic information high density network monitoring and warning system according to claim 4, its feature exist In：Wireless communication distance≤500m between adjacent multiparameter wireless sensor node.
6. 6. mine coal spontaneous combustion characteristic information high density network monitoring and warning system according to claim 1, its feature exist In：Wireless communication distance≤2000m between multiparameter wireless sensor node and wireless monitor base station.
7. 7. mine coal spontaneous combustion characteristic information high density network monitoring and warning system according to claim 6, its feature exist In：Wireless communication distance≤500m between multiparameter wireless sensor node and wireless monitor base station.