CN114387755A - Mine smoke detection method, device, processor and system - Google Patents
Mine smoke detection method, device, processor and system Download PDFInfo
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- 239000000779 smoke Substances 0.000 title claims abstract description 227
- 238000001514 detection method Methods 0.000 title claims abstract description 180
- 230000004927 fusion Effects 0.000 claims abstract description 69
- 238000005065 mining Methods 0.000 claims abstract description 67
- 230000002159 abnormal effect Effects 0.000 claims description 12
- 239000000203 mixture Substances 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 9
- 239000002245 particle Substances 0.000 claims description 6
- 239000003245 coal Substances 0.000 abstract description 23
- 238000012544 monitoring process Methods 0.000 abstract description 12
- 238000005516 engineering process Methods 0.000 abstract description 7
- 238000000034 method Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 12
- 239000007789 gas Substances 0.000 description 8
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 4
- 230000007613 environmental effect Effects 0.000 description 3
- 239000000284 extract Substances 0.000 description 3
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 2
- 229910002092 carbon dioxide Inorganic materials 0.000 description 2
- 239000001569 carbon dioxide Substances 0.000 description 2
- 229910002091 carbon monoxide Inorganic materials 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 239000013618 particulate matter Substances 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 239000000443 aerosol Substances 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 239000002817 coal dust Substances 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000008202 granule composition Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
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- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract
The application provides a mining smoke detection method, a device, a processor and a system, wherein the method comprises the following steps: acquiring various characteristic data of smoke in a mine; determining the weight corresponding to the characteristic data according to the importance of the characteristic data in the smoke detection; calculating to obtain fusion characteristic data according to the multiple kinds of characteristic data and the corresponding multiple weights; and determining a smoke detection result according to the fusion characteristic data and a preset fusion characteristic data threshold value. According to the mining smoke detection method, multiple characteristic data of the mine smoke are fully extracted by adopting a multi-source data acquisition technology, so that the interference of the coal mine environment to detection is effectively avoided, the problem of 'false alarm' or 'false alarm' of the traditional smoke detection equipment is solved, the reliability of the mining smoke detection device is improved, and the monitoring level of early smoke of coal mine fire is improved.
Description
Technical Field
The application relates to the technical field of coal mines, in particular to a mine smoke detection method, a mine smoke detection device, a mine smoke detection processor and a mine smoke detection system.
Background
At present, most of traditional mining smoke detection equipment adopts a single detection principle to judge smoke particles, and sensors for coal mine smoke detection in the market mainly comprise an ionic type sensor, a photoelectric type sensor and an air-sensitive type sensor.
However, the coal mine tunnel environment has particularity relative to industrial sites such as the ground, a factory building and the like, and particularly the coal mine tunnel environment has the conditions of more coal dust, obvious terrestrial heat, high humidity, more types of electrical equipment, complex electromagnetic environment and the like, so that the coal mine smoke detection is interfered, the reliability of the coal mine smoke detection device is reduced, the phenomenon of 'false alarm' or 'false alarm' is inevitable in actual monitoring of the traditional smoke detection device, and the monitoring level of early smoke of a coal mine fire is general.
Disclosure of Invention
The present application is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, the first purpose of the application is to provide a mining smoke detection method.
A second object of the present application is to provide a smoke detection device for mining.
A third object of the present application is to provide a processor.
A fourth object of the present application is to provide a mining smoke detection system.
In order to achieve the above purpose, an embodiment of a first aspect of the present application provides a mining smoke detection method, where the mining smoke detection method includes: acquiring various characteristic data of smoke in a mine; determining the weight corresponding to the characteristic data according to the importance of the characteristic data in smoke detection; calculating to obtain fused feature data according to the multiple feature data and the corresponding multiple weights; and determining a smoke detection result according to the fusion characteristic data and a preset fusion characteristic data threshold value.
According to the mining smoke detection method, various feature data of smoke in a mine are obtained, the weight corresponding to the feature data is determined according to the importance of the feature data in smoke detection, fusion feature data are obtained through calculation according to the various feature data and the corresponding weights, and a smoke detection result is determined according to the fusion feature data and a preset fusion feature data threshold value. According to the mining smoke detection method, multiple characteristic data of the mine smoke are fully extracted by adopting a multi-source data acquisition technology, so that the interference of the coal mine environment to detection is effectively avoided, the problem of 'false alarm' or 'false alarm' of the traditional smoke detection equipment is solved, the reliability of the mining smoke detection device is improved, and the monitoring level of early smoke of coal mine fire is improved.
In addition, the mining smoke detection method according to the above embodiment of the present application may further have the following additional technical features:
according to an embodiment of the application, the plurality of feature data includes at least two of: smoke particle composition and concentration, ambient gas composition and concentration, and ambient temperature.
According to one embodiment of the application, the mining smoke detection method further comprises the following steps: determining the importance of said characteristic data in smoke detection based on the environment of smoke generation and/or the composition of the smoke.
According to an embodiment of the application, the determining a smoke detection result according to the fused feature data and a preset fused feature data threshold includes: if the fusion characteristic data is smaller than the fusion characteristic data threshold value, determining that the smoke detection result is normal; and if the fusion characteristic data is equal to or larger than the fusion characteristic data threshold value, determining that the smoke detection result is abnormal.
According to one embodiment of the application, the mining smoke detection method further comprises the following steps: and if the smoke detection result is abnormal, outputting an alarm signal.
According to one embodiment of the application, the mining smoke detection method further comprises the following steps: and displaying the smoke detection result.
According to one embodiment of the application, the mining smoke detection method further comprises the following steps: and uploading the fused feature data and/or the smoke detection result to a management platform.
In order to achieve the above object, an embodiment of a second aspect of the present application provides a mining smoke detection apparatus, including: the acquisition module is used for acquiring various characteristic data of the smoke in the mine; the first determining module is used for determining the weight corresponding to the characteristic data according to the importance of the characteristic data in smoke detection; the calculation module is used for calculating to obtain fusion characteristic data according to the various characteristic data and the corresponding weights; and the second determining module is used for determining a smoke detection result according to the fusion characteristic data and a preset fusion characteristic data threshold.
The mining smoke detection device obtains various feature data of smoke in a mine, determines the weight corresponding to the feature data according to the importance of the feature data in smoke detection, calculates to obtain fusion feature data according to the various feature data and the corresponding weights, and determines a smoke detection result according to the fusion feature data and a preset fusion feature data threshold. The mining smoke detection device provided by the embodiment of the application fully extracts various characteristic data of the mine smoke by adopting a multi-source data acquisition technology, effectively avoids the interference of the coal mine environment to detection, solves the problem of 'false alarm' or 'missing report' of the traditional smoke detection equipment, and improves the reliability of the mining smoke detection device, thereby improving the monitoring level of early smoke of coal mine fire.
To achieve the above object, a third aspect of the present application provides a processor, including: a mine smoke detection device as in the second aspect of the application.
In order to achieve the above object, a fourth aspect of the present application provides a mining smoke detection system, including: a processor as claimed in an embodiment of the third aspect of the present application.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow diagram of a mining smoke detection method according to an embodiment of the application;
FIG. 2 is a schematic diagram of multi-source data acquisition for mine smoke detection;
FIG. 3 is a schematic flow diagram of a mining smoke detection method according to another embodiment of the present application;
FIG. 4 is a schematic diagram of data fusion and logic determination for smoke detection in a mine;
FIG. 5 is a block diagram of a mine smoke detection apparatus according to one embodiment of the present application;
fig. 6 is a block diagram of a mine smoke detection apparatus according to another embodiment of the present application;
FIG. 7 is a block diagram of a processor according to one embodiment of the present application;
fig. 8 is a block diagram of a mine smoke detection system according to one embodiment of the present application.
Detailed Description
Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The mining smoke detection method and system according to the embodiment of the application are described below with reference to the accompanying drawings.
The execution main body of the mining smoke detection method in the embodiment of the application is the system mining smoke detection device in the embodiment of the application. Fig. 1 is a schematic flow diagram of a mining smoke detection method according to an embodiment of the present application, and as shown in fig. 1, the mining smoke detection method according to the embodiment of the present application may specifically include the following steps:
s101, obtaining various characteristic data of the smoke in the mine.
In the embodiment of the application, the smoke refers to smoke generated in the early stage of fire, namely the smoldering stage, and various characteristic data of the smoke in a mine are obtained and subjected to subsequent processing. The plurality of feature data may specifically include, but is not limited to, at least two of the following: smoke particles are solid particles which are not completely combusted, the environmental gas components include but are not limited to carbon monoxide, carbon dioxide and other gases, and the environmental temperature is the environmental temperature which shows an increasing trend. The corresponding characteristic data can be obtained by preprocessing the characteristic data obtained by the multi-source data acquisition unit, such as filtering, calibration and the like.
It should be noted that, the acquisition of smog in the mine is carried out by multisource data acquisition unit, as shown in fig. 2, multisource data acquisition unit specifically can include particulate matter detection module, temperature acquisition module and multi-parameter gas detection module, wherein, particulate matter detection module can adopt photoelectric smoke sensing element for detect smog granule composition and concentration in the smog aerosol, temperature acquisition module can adopt temperature sensing device, be used for detecting ambient temperature, multi-parameter gas detection module can adopt multiple gas sensing element, be used for detecting gaseous composition and concentration in the environment, for example, multiple gas concentrations such as oxygen, carbon monoxide, carbon dioxide in the environment, realize the definite to gaseous composition and concentration in the environment.
And S102, determining the weight corresponding to the characteristic data according to the importance of the characteristic data in the smoke detection.
In the embodiment of the application, the weight corresponding to the characteristic data is determined according to the importance of various characteristic data of smoke in smoke detection. Here, the sum of the weights corresponding to the plurality of kinds of feature data is 1.
And S103, calculating to obtain fusion characteristic data according to the multiple kinds of characteristic data and the corresponding multiple weights.
In the embodiment of the present application, according to the multiple kinds of feature data of the smoke in the mine obtained in step S101 and the multiple weights corresponding to the feature data determined in step S102, the corresponding fused feature data is obtained through calculation, for example, the multiple kinds of feature data are x1, x2, and … …, and the corresponding weights are w1, w2, and … …, so that the fused feature data y is w1x1+ w2x2+ … …, and the specific calculation manner of the fused feature data is not limited in many ways in the present application.
And S104, determining a smoke detection result according to the fusion characteristic data and a preset fusion characteristic data threshold value.
In the embodiment of the application, the smoke detection result is determined according to the fusion characteristic data calculated in step S103 and a preset fusion characteristic data threshold. The fusion characteristic data threshold value can be set in advance according to actual conditions, and the fusion characteristic data threshold value is not limited too much in the application.
According to the mining smoke detection method provided by the embodiment of the application, various feature data of smoke in a mine are obtained, the weight corresponding to the feature data is determined according to the importance of the feature data in smoke detection, the fusion feature data is obtained through calculation according to the various feature data and the corresponding weights, and a smoke detection result is determined according to the fusion feature data and a preset fusion feature data threshold value. According to the mining smoke detection method, multiple characteristic data of the mine smoke are fully extracted by adopting a multi-source data acquisition technology, so that the interference of the coal mine environment to detection is effectively avoided, the problem of 'false alarm' or 'false alarm' of the traditional smoke detection equipment is solved, the reliability of the mining smoke detection device is improved, and the monitoring level of early smoke of coal mine fire is improved.
Fig. 3 is a flowchart of a mining smoke detection method according to another embodiment of the present application, and as shown in fig. 3, on the basis of the above embodiment shown in fig. 1, the mining smoke detection method includes the following steps:
s301, obtaining various characteristic data of the smoke in the mine.
Specifically, step S301 in this embodiment is the same as step S101 in the above embodiment, and is not described again here.
S302, determining the importance of the characteristic data in smoke detection according to the environment of the smoke generation and/or the smoke components.
In the embodiment of the present application, the importance of the feature data acquired in step S301 in smoke detection is determined according to the environment in which smoke is generated and/or the composition of smoke.
And S303, determining the weight corresponding to the characteristic data according to the importance of the characteristic data in the smoke detection.
Specifically, step S303 in this embodiment is the same as step S102 in the above embodiment, and is not repeated here.
And S304, calculating to obtain fusion characteristic data according to the various characteristic data and the corresponding weights.
Specifically, step S304 in this embodiment is the same as step S103 in the above embodiment, and is not described here again.
Step S104 "determining the smoke detection result according to the fused feature data and the preset fused feature data threshold" in the above embodiment may include the following steps S305 to S306:
s305, if the fusion characteristic data is smaller than the fusion characteristic data threshold, the smoke detection result is determined to be normal.
In the embodiment of the application, the fusion characteristic data is judged according to a logic judgment algorithm, the fusion characteristic data is compared with a preset fusion characteristic data threshold, if the fusion characteristic data is smaller than the fusion characteristic data threshold, the smoke detection result is determined to be normal, and the smoke is continuously monitored.
And S306, if the fusion characteristic data is equal to or larger than the fusion characteristic data threshold, determining that the smoke detection result is abnormal.
In the embodiment of the application, if the fusion characteristic data is equal to or greater than the fusion characteristic data threshold, it is determined that the smoke detection result is abnormal, which indicates that smoke exists in the detected environment.
And S307, if the smoke detection result is abnormal, outputting an alarm signal.
In the embodiment of the application, if the smoke detection result is abnormal, the alarm signal is output, namely, the monitoring site can generate sound and/or light signals through the alarm unit to alarm so as to remind nearby vehicles and people.
And S308, displaying the smoke detection result.
In the embodiment of the application, the determined smoke detection result can be locally displayed through the display unit so as to show the state of smoke in the environment.
S309, uploading the fused feature data and/or the smoke detection result to a management platform.
In the embodiment of the application, the obtained fusion characteristic data and/or the smoke detection result obtained by judgment can be uploaded to a management platform through a communication unit for subsequent processing.
Specifically, as shown in fig. 4, various data of the smoke are acquired through multi-source data acquisition, and are subjected to data preprocessing to obtain corresponding feature data, the feature data are subjected to data fusion according to a data fusion algorithm and based on conditions such as environment \ components generated by the smoke, and are further judged according to a logic judgment algorithm in combination with a corresponding threshold, so that a smoke detection result is output.
According to the mining smoke detection method provided by the embodiment of the application, the importance of the feature data in smoke detection is determined according to the environment generated by smoke and/or smoke components, the weight corresponding to the feature data is further determined, the fusion feature data is obtained through calculation according to the multiple feature data and the multiple corresponding weights, if the fusion feature data is smaller than the fusion feature data threshold value, the smoke detection result is determined to be normal, if the fusion feature data is equal to or larger than the fusion feature data threshold value, the smoke detection result is determined to be abnormal, an alarm signal is output, the smoke detection result is displayed, and the fusion feature data and/or the smoke detection result are uploaded to a management platform. According to the mining smoke detection method, multiple characteristic data of the mine smoke are fully extracted by adopting a multi-source data acquisition technology, so that the interference of the coal mine environment to detection is effectively avoided, the problem of 'false alarm' or 'false alarm' of the traditional smoke detection equipment is solved, the reliability of the mining smoke detection device is improved, and the monitoring level of early smoke of coal mine fire is improved. Meanwhile, the smoke detection result is logically judged and correspondingly processed, so that the safety prompt of the mine environment is enhanced, the reliability of the mine smoke detection device is further improved, and the monitoring level of early smoke of the coal mine fire is improved.
In order to implement the embodiment, the embodiment of the application further provides a mining smoke detection device, and the mining smoke detection device can implement the mining smoke detection method of the embodiment. As shown in fig. 5, the mining smoke detection apparatus 500 provided in the embodiment of the present application may specifically include: an acquisition module 501, a first determination module 502, a calculation module 503, and a second determination module 504. Wherein:
the acquiring module 501 is configured to acquire multiple characteristic data of smoke in a mine.
The first determining module 502 is configured to determine a weight corresponding to the feature data according to importance of the feature data in smoke detection.
The calculating module 503 is configured to calculate to obtain fused feature data according to the multiple feature data and the corresponding multiple weights.
A second determining module 504, configured to determine a smoke detection result according to the fused feature data and a preset fused feature data threshold.
It should be noted that the foregoing explanation of the embodiment of the mining smoke detection method is also applicable to the mining smoke detection apparatus of this embodiment, and details are not described here again.
The mining smoke detection device provided by the embodiment of the application obtains various feature data of smoke in a mine, determines the weight corresponding to the feature data according to the importance of the feature data in smoke detection, calculates to obtain fused feature data according to the various feature data and the corresponding weights, and determines a smoke detection result according to the fused feature data and a preset fused feature data threshold. The mining smoke detection device provided by the embodiment of the application fully extracts various characteristic data of the mine smoke by adopting a multi-source data acquisition technology, effectively avoids the interference of the coal mine environment to detection, solves the problem of 'false alarm' or 'missing report' of the traditional smoke detection equipment, and improves the reliability of the mining smoke detection device, thereby improving the monitoring level of early smoke of coal mine fire.
In order to realize the embodiment, the embodiment of the application further provides a mining smoke detection device. Fig. 6 is a block diagram of a mine smoke detection device according to another embodiment of the present application. As shown in fig. 6, on the basis of the embodiment shown in fig. 5, the mining smoke detection apparatus 500 may further include: a third determination module 601 for determining the importance of the characteristic data in smoke detection based on the environment of smoke generation and/or the composition of smoke.
In one embodiment of the present application, the mining smoke detection apparatus 500 may further include: and the output module 602 is configured to output an alarm signal if the smoke detection result is abnormal.
In one embodiment of the present application, the mining smoke detection apparatus 500 may further include: the display module 603 is configured to display a smoke detection result.
In one embodiment of the present application, the mining smoke detection apparatus 500 may further include: an uploading module 604, configured to upload the fused feature data and/or the smoke detection result to the management platform.
In one embodiment of the present application, the plurality of feature data includes at least two of: smoke particle composition and concentration, ambient gas composition and concentration, and ambient temperature.
In one embodiment of the present application, the second determining module 504 includes: the first determining unit is used for determining that the smoke detection result is normal if the fusion characteristic data is smaller than the fusion characteristic data threshold; and the second determining unit is used for determining that the smoke detection result is abnormal if the fusion characteristic data is equal to or greater than the fusion characteristic data threshold.
It should be noted that the foregoing explanation of the embodiment of the mining smoke detection method is also applicable to the mining smoke detection apparatus of this embodiment, and details are not described here again.
According to the mining smoke detection device provided by the embodiment of the application, the importance of the feature data in smoke detection is determined according to the environment generated by smoke and/or smoke components, the weight corresponding to the feature data is further determined, the fusion feature data is obtained through calculation according to the multiple feature data and the multiple corresponding weights, if the fusion feature data is smaller than the fusion feature data threshold value, the smoke detection result is determined to be normal, if the fusion feature data is equal to or larger than the fusion feature data threshold value, the smoke detection result is determined to be abnormal, an alarm signal is output, the smoke detection result is displayed, and the fusion feature data and/or the smoke detection result are uploaded to a management platform. The mining smoke detection device provided by the embodiment of the application fully extracts various characteristic data of the mine smoke by adopting a multi-source data acquisition technology, effectively avoids the interference of the coal mine environment to detection, solves the problem of 'false alarm' or 'missing report' of the traditional smoke detection equipment, and improves the reliability of the mining smoke detection device, thereby improving the monitoring level of early smoke of coal mine fire. Meanwhile, the smoke detection result is logically judged and correspondingly processed, so that the safety prompt of the mine environment is enhanced, the reliability of the mine smoke detection device is further improved, and the monitoring level of early smoke of the coal mine fire is improved.
In order to implement the foregoing embodiments, the present application further provides a processor. FIG. 7 is a block diagram of a processor according to one embodiment of the present application. As shown in fig. 7, the processor 700 includes: the mine smoke detection device 500 according to the above-mentioned embodiment of the present application.
In order to realize the embodiment, the embodiment of the application further provides a mining smoke detection system. Fig. 8 is a block diagram of a mine smoke detection system according to an embodiment of the present application. As shown in fig. 8, a mining smoke detection system 800 includes: the system comprises a processor 700 according to the above embodiments of the present application, a multi-source data acquisition unit 801, a power supply unit 802, an alarm unit 803, a communication unit 804 and a display unit 805. The power supply unit 802 provides a power supply for the mining smoke detection system 800.
In the description of the present application, it is to be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the present application and for simplicity in description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are therefore not to be considered limiting of the present application.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
In this application, unless expressly stated or limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can include, for example, fixed connections, removable connections, or integral parts; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
In this application, unless expressly stated or limited otherwise, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through intervening media. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A mine smoke detection method is characterized by comprising the following steps:
acquiring various characteristic data of smoke in a mine;
determining the weight corresponding to the characteristic data according to the importance of the characteristic data in smoke detection;
calculating to obtain fused feature data according to the multiple feature data and the corresponding multiple weights;
and determining a smoke detection result according to the fusion characteristic data and a preset fusion characteristic data threshold value.
2. The mining smoke detection method of claim 1, wherein the plurality of characteristic data includes at least two of:
smoke particle composition and concentration, ambient gas composition and concentration, and ambient temperature.
3. The mining smoke detection method of claim 1, further comprising:
determining the importance of said characteristic data in smoke detection based on the environment of smoke generation and/or the composition of the smoke.
4. The mining smoke detection method according to claim 1, wherein the determining a smoke detection result according to the fused feature data and a preset fused feature data threshold value comprises:
if the fusion characteristic data is smaller than the fusion characteristic data threshold value, determining that the smoke detection result is normal;
and if the fusion characteristic data is equal to or larger than the fusion characteristic data threshold value, determining that the smoke detection result is abnormal.
5. The mining smoke detection method of claim 1, further comprising:
and if the smoke detection result is abnormal, outputting an alarm signal.
6. The mining smoke detection method of claim 1, further comprising:
and displaying the smoke detection result.
7. The mining smoke detection method of claim 1, further comprising:
and uploading the fused feature data and/or the smoke detection result to a management platform.
8. A mining smoke detection device, characterized by comprising:
the acquisition module is used for acquiring various characteristic data of the smoke in the mine;
the first determining module is used for determining the weight corresponding to the characteristic data according to the importance of the characteristic data in smoke detection;
the calculation module is used for calculating to obtain fusion characteristic data according to the various characteristic data and the corresponding weights;
and the second determining module is used for determining a smoke detection result according to the fusion characteristic data and a preset fusion characteristic data threshold.
9. A processor, comprising: a mine smoke detection apparatus as claimed in claim 8.
10. A mining smoke detection system, comprising: the processor of claim 9.
Priority Applications (1)
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