CN210889031U - Colliery is belt fire early warning system in pit - Google Patents

Colliery is belt fire early warning system in pit Download PDF

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CN210889031U
CN210889031U CN201921608676.3U CN201921608676U CN210889031U CN 210889031 U CN210889031 U CN 210889031U CN 201921608676 U CN201921608676 U CN 201921608676U CN 210889031 U CN210889031 U CN 210889031U
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孙继平
范伟强
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China University of Mining and Technology Beijing CUMTB
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Abstract

The utility model discloses a colliery is belt fire early warning system in pit mainly includes: the system comprises a humidity measuring module, a temperature measuring module, a gas measuring module, a visibility measuring module, an infrared temperature measuring module, a Socket server, a Web server, an early warning module and a communication network; the fire early warning system has the advantages of wide monitoring range and high temperature measurement sensitivity. Based on the radiation temperature measurement principle and the atmosphere transmittance theory, the gray value of an infrared video image and the atmosphere transmittance in the environment are creatively adopted, the high-precision non-contact monitoring of the belt conveyor can be realized according to the real-time temperature image of the belt to be measured, meanwhile, the large-scale real-time monitoring of the belt conveyor in the coal mine can be realized, and the problems that the existing fire monitoring system of the belt conveyor is high in false alarm rate, small in monitoring coverage range, high in monitoring cost of the belt in the whole mine and the like when in use are solved.

Description

Colliery is belt fire early warning system in pit
Technical Field
The utility model relates to a colliery is belt fire early warning system in pit especially is based on infrared radiation temperature measuring device to and colliery is belt conveyor's in pit infrared monitoring and early warning system of conflagration.
Background
In coal mine fire accidents, belt conveyor fire accidents are frequent. At present, belt conveyors are still used as transportation modes for underground coal mines, open-pit mining, non-coal mines, ground transportation of coal washing plants and the like in China. Especially, the belt fire hazard problem in underground coal mine transportation is always one of the main external fire hazards in coal mine safety production, and hidden dangers are brought to coal mine enterprises. The belt fire disaster is divided into the following 2 types according to different disaster causes: fire due to belt friction and fire due to non-belt friction. The former mainly comprises that after a driving roller completely slips due to the fact that a belt is clamped, the belt and the roller generate friction fire, and high-speed friction fire is generated between the belt and the belt after mechanical faults of the roller and a carrier roller of the belt conveyor; the latter is mainly caused by belt conveyor fire caused by belt ignition due to overheating of faulty equipment within a short time after failure of belt conveyor electrical equipment, and ignition of the belt after spontaneous combustion of coal on the belt.
At the present stage of China, technologies such as smoke sensors, temperature sensors, gas sensors, optical fiber temperature measurement, infrared radiation temperature measurement and the like are mainly adopted to realize belt fire monitoring and early warning. Among them, the infrared radiation temperature measurement technology has gradually become one of the main methods for belt fire monitoring due to its advantages of high measurement accuracy, large temperature measurement field, non-contact measurement, etc. Therefore, aiming at the special environment under the coal mine, the infrared intensity change radiated on the surface of the measured object is measured by a non-contact infrared temperature measuring instrument, and the surface temperature of the measured object is indirectly obtained. The data are transmitted to the underground base station in a wired or wireless mode, then transmitted to the underground and ground dispatching center through the signal wire, whether the belt temperature is abnormal or not is judged according to the data, and corresponding alarming and cooling measures are taken.
The belt fire disaster prediction can be effectively realized by monitoring key parts in the belt running process through the infrared measuring instrument, so that the fire disaster is avoided. However, the infrared radiation thermometry method also has the problem of low remote thermometry precision and the like. The measuring light path of the measured target is susceptible to water vapor and CO2Methane, dust, aerosols, etc., due to the intense emission of these mediaAnd the radiation characteristic is absorbed or scattered, and the interference to the measuring light path is directly caused, so that the accuracy of the remote temperature measurement is greatly influenced. Therefore, the utility model discloses mainly through studying the infrared radiation remote transmission characteristic, designed a colliery belt fire early warning system in pit based on the accurate temperature measurement model of infrared thermal imager.
Disclosure of Invention
The utility model aims to solve the technical problem that the wrong report that exists and miss reporting problem when overcoming above-mentioned current all kinds of sensors and carrying out belt conflagration early warning to and provide one kind and can effectively avoid traditional monitoring to have blind area, belt monitoring real-time not high, infrared monitoring method temperature measurement precision low grade problem, and provide a colliery belt conflagration early warning system in the pit, can effectively improve safety in the pit production, guarantee personnel's safety.
The utility model discloses specifically adopt following technical scheme to solve above-mentioned technical problem:
a coal mine underground belt fire early warning system is characterized in that: the system mainly comprises a humidity measuring module, a temperature measuring module, a gas measuring module, a visibility measuring module, an infrared temperature measuring module, a Socket server, a Web server, an early warning module and a communication network.
Furthermore, the temperature measuring module in the belt fire early warning system is used for monitoring the ambient temperature of the infrared temperature measuring module; the humidity measuring module is used for monitoring the relative humidity of the environment where the infrared temperature measuring module is located.
Furthermore, in the belt fire early warning system, the Socket server is used for storing temperature and humidity measurement data, visibility measurement data, a temperature measurement distance and infrared video image data, acquiring air transmittance data and a real-time temperature image of a temperature belt to be measured, judging whether to carry out belt fire early warning according to monitoring data, and enabling the early warning module to send out sound and light alarm through a communication network when the early warning condition is met.
Furthermore, in the belt fire early warning system, the Web server is in communication connection with the Socket server, displays a real-time temperature image of the belt to be measured, and performs alarm prompt and man-machine interaction after the early warning module sends alarm information.
Furthermore, infrared temperature measurement module in the belt fire early warning system include infrared imager and explosion-proof type shell, can generate corresponding infrared video image according to the infrared radiation intensity in monitoring area.
Further, the gas measurement module in the belt fire early warning system comprises CO2Sensor, methane sensor, SO2Sensors, CO sensors; the visibility measuring module comprises a dust sensor and an visibility meter.
Furthermore, the infrared temperature measurement module in the belt fire early warning system adopts a mine explosion-proof network infrared imager, is arranged on the wall of a roadway on one side in the roadway and is responsible for belt rollers and belts in a monitoring area.
The utility model discloses a beneficial effect that colliery is belt fire early warning system in pit produced does:
(1) the utility model provides a colliery is belt fire early warning system in pit has monitoring range extensively, advantage that temperature measurement sensitivity is high. The method is characterized in that a gray value of an infrared video image and an air transmittance in a measuring environment are creatively adopted based on a radiation temperature measurement principle and an atmosphere transmittance theory, and a fire accident caused by belt temperature abnormity can be accurately monitored according to a real-time temperature image of a belt to be measured, meanwhile, the large-scale real-time monitoring of the coal mine belt conveyor can be realized, and the problems that the existing belt conveyor fire monitoring system is high in false alarm rate, small in monitoring coverage range, high in monitoring cost of the whole mine belt and the like when in use are solved.
(2) The utility model discloses constructed an accurate temperature measurement model according to known environment humiture, atmospheric visibility, altitude, temperature measurement distance isoparametric, realized treating the high accuracy measurement of air transmissivity between temperature measurement target and the infrared temperature measurement instrument. Meanwhile, the radiation brightness value of the target to be measured radiated to the detector end of the infrared temperature measuring instrument is obtained according to the gray scale of the target in the calculated infrared video image, the gray scale calibration coefficient, the detection unit area, the photoelectric conversion coefficient and other parameters of the infrared temperature measuring instrument, and the real temperature of the surface of the target to be measured is inverted by combining the measured air transmittance.
Drawings
FIG. 1 is a schematic view of a belt fire warning system of the present invention;
FIG. 2 is a flow chart of the belt fire warning judgment of the present invention;
FIG. 3 is a flow chart of the air permeability calculation of the present invention;
FIG. 4 is a flow chart of the real-time temperature calculation of the temperature measuring belt of the present invention;
fig. 5 the utility model discloses an infrared temperature measurement module and a plurality of measuring module's monitoring schematic diagram.
Detailed Description
To make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in detail and completely with reference to the accompanying drawings and specific implementation methods, and the embodiments should not be considered as limiting the scope of the present invention.
As shown in fig. 1, a coal mine underground belt fire early warning system is divided into an aboveground part and an underground part, and mainly comprises the following components:
socket server (101): the monitoring system is responsible for storing infrared video images collected by an infrared temperature measurement module (105), temperature measurement environment monitoring data collected by a humidity measurement module (106), a temperature measurement module (107), a gas measurement module (108) and a visibility measurement module (109), calculating air permeability data and real-time temperature images of a temperature-measuring belt according to temperature measurement distance, instrument parameters of the infrared temperature measurement module (105), the video images, the environment monitoring data, belt surface emissivity and the like, judging whether belt fire early warning is carried out according to the monitoring data, and when calculating the real-time temperature image data value or data change of the temperature-measuring belt meets early warning conditions, enabling the early warning module (110) to send out sound-light alarm through a communication network, and enabling a Web server (102) to carry out alarm prompt and man-machine interaction after the early warning module sends out alarm information.
Web server (102): the monitoring data display system is in charge of displaying service of monitoring data in the environment where a temperature measuring belt of a coal mine is located, meanwhile, the Web server (102) is in communication connection with the Socket server (101), real-time temperature images of the temperature measuring belt are displayed, alarm prompt and man-machine interaction are conducted after the early warning module sends alarm information, production managers can call and inquire historical data stored in the Socket server (101) through the Web server (102), and the Web server (102) is connected with the core switch (103) through a communication line and is connected with a mine communication network.
3. Core switch (103): the core management and exchange equipment of the mine communication network is responsible for the management and data exchange of all equipment accessed to the mine communication network, has a routing function and is connected with the external Internet through a firewall.
4. Ring network switch (104): the underground exchange equipment of the mine communication network is arranged underground, and a plurality of ring network switches are connected in a ring network mode.
5. Infrared thermometry module (105): the infrared image acquisition equipment is installed in a roadway and is responsible for acquiring infrared video images of a belt conveyor and a coal mine in the roadway under the well in an area where a fire disaster is easily caused by temperature rise, the infrared video images can be gray level images and also can be pseudo color images, the temperature corresponds to the brightness and the color, the infrared image acquisition equipment adopts an infrared thermal imaging camera with a network output function, and the specific monitoring mode of the infrared thermal imaging camera in the roadway is shown in figure 5.
6. Humidity measurement module (106): the temperature sensor is used for monitoring the relative humidity of the environment where the infrared temperature measurement module is located, a resistance type or capacitance type humidity sensor is adopted, the temperature sensor is connected with a ring network switch (104) through a wireless communication network or a wired communication network, and a wired communication mode is adopted in the example.
7. Temperature measurement module (107): the temperature monitoring device is used for monitoring the ambient temperature of the infrared temperature measurement module, adopts a digital contact type or non-contact type temperature sensor, is connected with a ring network switch (104) through a wireless communication network or a wired communication network, and adopts a wired communication mode in the example.
8. Gas measurement module (108): is responsible for collecting methane and CO in temperature measurement environment2、SO2And the concentration data of the CO and other absorbent gases adopt a digital mining explosion-proof or intrinsic safety type sensor and are communicated wirelesslyThe network or wired communication network is connected to the ring network switch (104), in this example, wired communication is adopted.
9. Visibility measurement module (109): the device is used for measuring the total number of scattered and scattered light particles (smoke, dust, aerosol and the like) in the ambient air of a belt to be measured, calculating an extinction coefficient and realizing the measurement of atmospheric visibility, and is connected with a looped network switch (104) through a wireless communication network or a wired communication network by adopting a digital mining explosion-proof or intrinsic safety type dust sensor, an visibility meter and the like, wherein a wired communication mode is adopted in the example.
10. Early warning module (110): and an acousto-optic alarm mode is adopted, the communication network and the Web server (102) are connected with the Socket server (101) in a communication mode through the core switch (103), and when an early warning signal sent by the Socket server (101) is received, acousto-optic alarm is carried out to prompt a worker.
The belt fire warning determination process shown in fig. 2 includes:
(201) calculating a real-time temperature image of a temperature-measured belt by a system, and performing belt fire early warning initialization operation;
(202) when the system monitors that the highest temperature value in the temperature image exceeds the set temperature threshold T1I.e. T0>T1If so, executing (203) in sequence, otherwise, returning to execute (201);
(203) when the system monitors that the set temperature threshold T is exceeded1Number M of connected pixel points1Exceeds a set system threshold value MAI.e. M1>MAIf so, sequentially executing (204), otherwise, returning to execute (201);
(204) when the system enters a primary early warning state, the Socket server (101) sends a primary early warning signal to the Web server (102) and the early warning module (110);
(205) when the system monitors that the highest temperature value in the temperature image exceeds the set temperature threshold T2I.e. T0>T1If so, executing (206) in sequence, otherwise, returning to execute (201);
(206) when the system monitors that the temperature image exceeds the set temperature threshold T2Connected pixel pointNumber M of2Exceeds a set threshold value MBI.e. M2>MBIn which T is2Satisfy T2>T1,MBSatisfies MB<MAExecuting (207) in sequence, otherwise returning to execute (201);
(207) when the system enters a secondary early warning state, the Socket server (101) sends a secondary early warning signal to the Web server (102) and the early warning module (110);
(208) when the system monitors that the temperature change rate of the high-temperature area in the temperature image exceeds a set temperature rise threshold TVIf so, sequentially executing (209), otherwise, returning to execute (201);
(209) when the system monitors that the temperature change rate of the high temperature area in the temperature image exceeds the set temperature rise threshold TVNumber M of connected pixel points3Exceeds a set threshold value MVI.e. M3>MVIn which M is3Satisfies M3<MAExecuting (210) in sequence, otherwise returning to execute (201);
(210) the system enters a three-level early warning state, and the Socket server (101) sends out three-level early warning signals to the Web server (102) and the early warning module (110).
The air transmittance calculation flow shown in fig. 3 includes:
(301) calculating the absorption decay of water vapor: the water vapor in the air is the largest influence factor of infrared absorption attenuation, and the absorption attenuation of the water vapor is related to the total number of water molecules in a temperature measurement light path. In one atmospheric light path, the content of water vapor is expressed by the number of millimeters of the condensable water amount and can be calculated by parameters such as temperature and humidity in the air. The water vapour content of the air in low altitude is very high and at a certain temperature, when the radiation distance on the sea level is 1km, the water vapour in the atmosphere condenses into a length omega of a liquid water columnr1Is composed of
Figure BDA0002214511530000051
When the temperature measuring path and the temperature and humidity of the measuring environment are known, the water vapor content in the temperature measuring path is obtained according to the formula, wherein: omegar1Is relative toHumidity Hr1When the air is in use, the water vapor in the air is condensed into the length of a liquid water column; omega0Is relative humidity Ha(100%) length of the atmospheric water vapour condensed into a liquid water column, ωr2Is relative humidity Hr2When the radiation distance on the sea level is 1km, the water vapor in the atmosphere is condensed into the length omega of the liquid water column0The unit: mm/km; meanwhile, according to a fitting function formula between the water vapor content and the transmittance in the air
Figure BDA0002214511530000052
Calculating to obtain the water vapor transmission rate between the infrared temperature measurement module and the target object, wherein: x is the content of water vapor, unit: mm.
(302) calculating CO2Absorption attenuation of (2): suppose formed by CO2The attenuation of radiation by absorption can be considered to be independent of meteorological conditions, passing any CO at different distances from sea level2Average atmospheric permeability at concentration
Figure BDA0002214511530000053
Relation between the distance and the temperature measuring path
Figure BDA0002214511530000054
Calculating to obtain CO2Absorption and attenuation of (2) and transmittance after attenuation.
(303) calculating the scattering attenuation of air: in the scattering coefficient calculation of the present invention, the scattering coefficient can be determined using meteorological horizon. The meteorological horizon is defined as the distance at which the contrast of the target to the background decreases to 2% with increasing distance. Weather horizon DVIndicating the distance at which the contrast of the object against the background is 1 and the perceived contrast after atmospheric decay is 2%. According to weather visibility DVScattering coefficient μs(lambda) target contrast KV(DV) Functional relation between
Figure BDA0002214511530000055
Calculating to obtain the air scattering coefficient, wherein: dVFor weather visibility, unit: km; kV(0)=1,KV(DV)=0.02,μs(λ) is the air scattering coefficient, unit: km-1. When measuring temperature by far infrared radiation, the scattering coefficient of atmosphere is expressed by the formula mus(λ)=A·λ-qRepresented by the formula: a is a undetermined constant; q is an empirical constant. Measuring the meteorological visual range at 0.55 μm by visibility measuring module to obtain the extinction coefficient at the wavelength, and obtaining the extinction coefficient according to the formula A of 3.91. lambda0 q/DVDetermining undetermined constant A, and according to formula
Figure BDA0002214511530000061
Calculating to obtain the scattering extinction coefficient of the long-wave infrared spectrum, wherein: q is an empirical constant, and takes the value as follows:
Figure BDA0002214511530000062
(304) air transmission rate parameter modification: water vapor and CO in air2The absorption of radiation by the gases on the soot object may vary with changes in temperature and atmospheric pressure. Therefore, the actual situation of different altitude areas needs to be corrected. The invention adopts the distance coefficient to correct the horizontal temperature measurement distance of the infrared temperature measurement module at the altitude position of the measurement site. When the water vapor density and pressure vary with altitude, it can be represented by the formula R'H=RHe-0.45H·e-0.0654H=RHe-0.5154HConverting the water vapor in the radiation temperature measurement distance into the equivalent path length of the sea level; when CO is present2Can pass through the formula R 'when the molecular density and pressure intensity of'H=RHe-0.123H·e-0.19H=RHe-0.313HMeasuring the temperature of CO within the radiation2Converted into the equivalent path length at sea level.
(305) calculating an air transmission rate: the attenuation factor of infrared radiation propagating in air in a roadway is mainly influenced by the following 2 factors: 1) some gas molecules (water vapor, CO) in the air2Etc.); 2) atmospheric molecules, dust, gas solutionsScattering attenuation of glue, etc. The attenuation ability of air to infrared radiation is expressed by an extinction coefficient (attenuation coefficient) μ. Obtaining a relation tau (lambda) e of the single-wave extinction coefficient mu (lambda) and the transmittance tau (lambda) by the Bougner-Lambert law-μ(λ)·RCalculating the single wave radiation transmittance of a certain attenuation substance, wherein: r is the sea level horizontal distance, unit: km; multiplying the transmittance of infrared radiation attenuation caused by various substances in the air in the roadway by the transmittance of a single wave in the air:
Figure BDA0002214511530000063
in the formula:
Figure BDA0002214511530000064
the single wave transmittance is the single wave transmittance after the water vapor absorption and attenuation;
Figure BDA0002214511530000065
is CO2Absorbing the attenuated single wave transmittance; tau iss(λ) is the single wave transmittance after atmospheric scattering attenuation. Therefore, in the environment of belt temperature measurement in a coal mine tunnel, the air transmittance after radiation attenuation caused by absorption and scattering substances can be expressed by a formula
Figure BDA0002214511530000066
Calculated, in the formula: lambda [ alpha ]1To the lower limit of integration, λ2The integral upper limit can be determined according to the response frequency band of the infrared temperature measurement module detector.
The real-time temperature calculation process of the temperature belt to be measured shown in fig. 4 includes:
(401) calculating an image gray level mean: the infrared temperature measurement module generates a corresponding infrared video image according to the infrared radiation intensity of the monitored area, and calculates the image gray average value by accumulating gray values corresponding to pixels of adjacent multi-frame images;
(402) calculating a single wave irradiance: according to the formula
Figure BDA0002214511530000067
Obtaining an image corresponding to a certain detection unit in the infrared temperature measurement moduleMean value of middle gray level GUThe illumination E of the single wave radiation received by the infrared temperature measurement moduleα is the gray scale calibration parameter of the infrared temperature measurement module, ARIs the area of each detection unit of the infrared temperature measurement module, RλFor each detection unit spectral response coefficient of the infrared temperature measurement module, the gray level mean value G of the belt in the video image is calculated according to the functional relationUCalculating to obtain corresponding single wave radiation illumination E
(403) calculating the single wave radiation illuminance: calculated single wave radiation illuminance EAnd integrating to obtain the irradiance of the measured target received by a single detection unit in the response waveband of the detector, and according to the relationship E (T) W (T)/Pi between the irradiance of the measured target and the irradiance, wherein: w (T) ═ epsilon (T) σ TnCalculating to obtain the radiation temperature T of the detector end of the infrared temperature measurement module, wherein when epsilon (T) is the surface temperature of the target object and T is the surface temperature of the target object, the average emissivity in the receiving spectrum interval of the infrared temperature measurement module is sigma which is the Stefin-Boltzmann constant, and sigma is 5.67 × 10-8(W·m-2·k-4) When infrared temperature measurement modules of different wave bands are used, the value of n is different, and for a detector of 8-14 mu m, n is 4.09; for a 6-9 mu m detector, n is 5.33; for a detector with the size of 3-5 mu m, n is 9.25;
(404) calculating a single wave irradiance: the temperature T of the environment where the belt to be measured is located is measured according to the temperature measuring moduleaAnd a formula
Figure BDA0002214511530000071
Calculating to obtain the real temperature T of the belt to be measured0In the formula: tau isa(d) The air transmission rate is corresponding to the distance d between the infrared temperature measurement module and the belt to be measured; epsilon (T)0) The surface temperature of the belt is T0Average normal emissivity of the belt surface; t isaIs ambient temperature, unit: K.
(405) acquiring a real-time temperature image: according to the method for monitoring the real temperature of the position corresponding to one detection unit of the detector, the real temperature of the monitoring position corresponding to each detection unit of the detector is obtained according to the same calculation method, namely, the real-time temperature image corresponding to the belt to be measured is obtained after the steps (402), (403) and (404) are executed in parallel.
As shown in the monitoring schematic diagram of the infrared temperature measurement module and the plurality of measurement modules shown in fig. 5, the infrared temperature measurement module (105) is installed on the roadway wall on one side in the roadway and is responsible for distance measurement of the belt carrier roller (502) and the belt (501) in the monitoring area according to a visual distance measurement method to obtain a real-time temperature measurement path, and the infrared temperature measurement module (105) is used for measuring the temperature of the belt carrier roller (201) and the belt (501) in real time; the humidity measurement module (106), the temperature measurement module (107), the gas measurement module (108) and the visibility measurement module (109) collect temperature, humidity, water vapor and CO in the environment where the infrared temperature measurement module (105) is located in real time2、SO2CO concentration, meteorological horizon, etc.

Claims (6)

1. A coal mine underground belt fire early warning system is characterized in that: the system mainly comprises a humidity measuring module, a temperature measuring module, a gas measuring module, a visibility measuring module, an infrared temperature measuring module, a Socket server, a Web server, an early warning module and a communication network; the Socket server stores humiture measurement data, visibility measurement data, temperature measurement distance and infrared video image data which are monitored by the humidity measurement module, the temperature measurement module, the gas measurement module, the visibility measurement module and the infrared temperature measurement module; the Web server, the early warning module and the Socket server are in communication connection with each other through a communication network; when the early warning condition is met, the Socket server enables the early warning module to send out audible and visual alarm through a communication network; the Web server displays a real-time temperature image of the belt to be subjected to temperature measurement, and performs alarm prompt and man-machine interaction after the early warning module sends alarm information.
2. The belt fire warning system of claim 1, wherein: the temperature measuring module is used for monitoring the ambient temperature of the infrared temperature measuring module; the humidity measuring module is used for monitoring the relative humidity of the environment where the infrared temperature measuring module is located.
3. The belt fire warning system of claim 1, wherein: the Socket server is used for acquiring the air transmission rate data and the real-time temperature image of the temperature-to-be-measured belt, carrying out belt fire early warning according to the monitoring data, and enabling the early warning module to send out sound and light alarm through the communication network when the early warning condition is met.
4. The belt fire warning system of claim 1, wherein: the infrared temperature measurement module comprises an infrared imager and an explosion-proof shell, and can generate a corresponding infrared video image according to the infrared radiation intensity of a monitoring area.
5. The belt fire warning system of claim 1, wherein: the gas measurement module comprises CO2Sensor, methane sensor, SO2Sensors, CO sensors; the visibility measuring module comprises a dust sensor and an visibility meter.
6. The belt fire warning system of claim 1, wherein: the infrared temperature measurement module adopts a mine explosion-proof network infrared imager, is arranged on the wall of a roadway on one side in the roadway and is responsible for monitoring belt rollers and belts in the area.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113064158A (en) * 2021-03-17 2021-07-02 中国有色金属长沙勘察设计研究院有限公司 Engineering disaster intelligent monitoring radar communication system based on double middleware
CN113323713A (en) * 2021-05-19 2021-08-31 陕西延长石油矿业有限责任公司 Belt fire automatic control method based on static partition

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113064158A (en) * 2021-03-17 2021-07-02 中国有色金属长沙勘察设计研究院有限公司 Engineering disaster intelligent monitoring radar communication system based on double middleware
CN113323713A (en) * 2021-05-19 2021-08-31 陕西延长石油矿业有限责任公司 Belt fire automatic control method based on static partition
CN113323713B (en) * 2021-05-19 2023-07-18 陕西延长石油矿业有限责任公司 Belt fire automatic control method based on static subareas

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