CN111260877A - Self-learning anti-misoperation ultraviolet flame sensor and self-learning method - Google Patents
Self-learning anti-misoperation ultraviolet flame sensor and self-learning method Download PDFInfo
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- CN111260877A CN111260877A CN202010046602.6A CN202010046602A CN111260877A CN 111260877 A CN111260877 A CN 111260877A CN 202010046602 A CN202010046602 A CN 202010046602A CN 111260877 A CN111260877 A CN 111260877A
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- 238000000034 method Methods 0.000 title claims abstract description 9
- 238000007493 shaping process Methods 0.000 claims abstract description 8
- 230000001678 irradiating effect Effects 0.000 claims description 4
- 230000007257 malfunction Effects 0.000 claims 1
- 239000007789 gas Substances 0.000 description 6
- 239000003245 coal Substances 0.000 description 4
- 238000007789 sealing Methods 0.000 description 4
- 229910052802 copper Inorganic materials 0.000 description 3
- 239000010949 copper Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 2
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004880 explosion Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000010355 oscillation Effects 0.000 description 2
- 239000002817 coal dust Substances 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
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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
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J1/00—Photometry, e.g. photographic exposure meter
- G01J1/42—Photometry, e.g. photographic exposure meter using electric radiation detectors
- G01J1/429—Photometry, e.g. photographic exposure meter using electric radiation detectors applied to measurement of ultraviolet light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J1/00—Photometry, e.g. photographic exposure meter
- G01J1/42—Photometry, e.g. photographic exposure meter using electric radiation detectors
- G01J1/44—Electric circuits
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Photometry And Measurement Of Optical Pulse Characteristics (AREA)
- Fire-Detection Mechanisms (AREA)
Abstract
The invention discloses a self-learning anti-misoperation ultraviolet flame sensor and a self-learning method, wherein the self-learning anti-misoperation ultraviolet flame sensor comprises an ultraviolet receiving tube for receiving flame ultraviolet signals, a signal processing circuit for signal shaping processing, and a signal analyzing circuit for analyzing the signals after the shaping processing to obtain and store an alarm threshold value of the ultraviolet receiving tube, wherein the output end of the ultraviolet receiving tube is electrically connected with the signal processing circuit, and the signal processing circuit is connected with the signal analyzing circuit. The signal analysis circuit stores signals sent by the ultraviolet receiving tube when receiving flame ultraviolet signals and corresponding alarm thresholds, so that self-learning of the difference of the output signals of the single ultraviolet tube is realized, corresponding alarm threshold parameters are obtained, and the problem that the alarm thresholds cannot be set to the maximum due to the difference of the output signals of the ultraviolet tube is avoided.
Description
Technical Field
The invention relates to the technical field of flame sensors, in particular to a self-learning anti-misoperation ultraviolet flame sensor and a self-learning method.
Background
In the prior art, when gas is conveyed through an extraction pipeline in a coal mine, the gas is often accompanied by coal dust and other flammable derived gases in a coal bed when the gas is extracted from the extraction pipeline, once gas explosion occurs in the pipeline, the derived gases are often accompanied by combustion, and thus serious safety accidents are easily caused. In the prior art, a self-learning anti-misoperation ultraviolet flame sensor is usually arranged to detect a flame signal, and once an explosion phenomenon occurs, the self-learning anti-misoperation ultraviolet flame sensor is triggered in time and sends out a signal in a very short time, and a subsequent controller controls corresponding equipment to play a protection role.
However, when the self-learning anti-misoperation ultraviolet flame sensor in the prior art is arranged, only one self-learning anti-misoperation ultraviolet flame sensor is generally arranged in a short distance, and due to the fact that the underground condition of a mine pipeline is complex, the ultraviolet rays emitted by external interference such as lamplight, sunlight and the like often cause the false triggering of an external flame sensor, so that equipment connected in series with the flame sensor causes misoperation, and great trouble is brought to coal mine operators and ground monitoring personnel.
Disclosure of Invention
The invention provides a self-learning anti-misoperation ultraviolet flame sensor and a self-learning method, which solve the problem that in the prior art, the ultraviolet rays emitted due to external interference such as lamplight, sunlight and the like cause false triggering of an external flame sensor, so that equipment connected in series with the flame sensor causes misoperation and brings great trouble to coal mine operators and ground monitoring personnel.
The technical scheme of the invention is realized as follows:
the self-learning anti-misoperation ultraviolet flame sensor comprises an ultraviolet receiving tube, a signal processing circuit and a signal analyzing circuit, wherein the ultraviolet receiving tube is used for receiving flame ultraviolet signals, the signal processing circuit is used for shaping the signals, the signal analyzing circuit is used for analyzing the signals after shaping to obtain an alarm threshold value of the ultraviolet receiving tube and storing the alarm threshold value, the output end of the ultraviolet receiving tube is electrically connected with the signal processing circuit, and the signal processing circuit is connected with the signal analyzing circuit.
As a preferred embodiment of the present invention, the ultraviolet receiving tube further comprises a power supply circuit, and the power supply circuit supplies power to the ultraviolet receiving tube.
As a preferred embodiment of the present invention, the power supply circuit includes an oscillation circuit and a voltage boost circuit, the oscillation circuit outputs a switching frequency to the voltage boost circuit, and the voltage boost circuit supplies power to the ultraviolet receiving tube.
As a preferred embodiment of the present invention, the portable electronic device further comprises an alarm circuit, and the alarm circuit is electrically connected to the signal analysis circuit.
As a preferred embodiment of the present invention, the signal processing circuit includes a clipping circuit and a denoising circuit, and the clipping circuit is electrically connected to the denoising circuit.
The ultraviolet receiving tube is fixed in the cavity, one end of the sensor shell is provided with a transparent window, and the other end of the sensor shell is provided with a data interface for outputting signals.
As a preferred embodiment of the present invention, the sensor housing includes a housing, a rear cover and a front cover, the rear cover is fixed to the rear end of the housing, the front cover is fixed to the front end of the housing, the data interface is fixed to the rear cover, and the transparent sheet, the ultraviolet receiving tube and the PCB are fixed in the cavity from front to back.
A learning method of a self-learning anti-misoperation ultraviolet flame sensor specifically comprises the following steps:
s1, vertically irradiating the ultraviolet receiving tube with flame within a certain time, outputting the signal of the ultraviolet receiving tube to the signal processing circuit, and outputting the processed signal to the signal analysis circuit by the signal processing circuit;
s2, the signal analysis circuit records the shaped frequency and the width of each pulse square wave;
s3, repeating steps S1 and S2 at least 5 times;
s4, recording the frequency and the pulse width of the signal for analysis, wherein the minimum value of the frequency is Fmin, and the maximum value of the frequency is Fmax; the minimum value of the pulse width is Pmin, and the maximum value of the pulse width is Pmax;
s5, setting and storing an alarm signal threshold;
and S6, completing self-learning.
As a preferred embodiment of the present invention, the present invention further comprises
And S7, if the ultraviolet ray receiving tube detects the ultraviolet ray signal of the flame, the signal processing circuit outputs the signal to the signal analyzing circuit, the signal analyzing circuit samples the signal and compares the signal with an alarm signal threshold value, if the signal is within the alarm threshold value range, the alarm signal is output, otherwise, the signal is not output.
The invention has the beneficial effects that: the signal analysis circuit stores signals sent by the ultraviolet receiving tube when receiving flame ultraviolet signals and corresponding alarm thresholds, so that self-learning of the difference of the output signals of the single ultraviolet tube is realized, corresponding alarm threshold parameters are obtained, and the problem that the alarm thresholds cannot be set to the maximum due to the difference of the output signals of the ultraviolet tube is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic block diagram of a self-learning anti-malfunction ultraviolet flame sensor of the present invention;
FIG. 2 is a circuit schematic of the boost circuit;
FIG. 3 is a schematic circuit diagram of the ultraviolet ray receiving tube;
FIG. 4 is a circuit schematic of the signal processing circuit;
FIG. 5 is a circuit schematic of the signal analysis circuit;
FIG. 6 is a circuit schematic of the alarm circuit;
fig. 7 is a schematic structural diagram of a self-learning malfunction-proof ultraviolet flame sensor according to the present invention.
In the figure, 1-ultraviolet ray receiving tube; 2-a signal processing circuit; 3-a signal analysis circuit; 4-an oscillating circuit; 5-a boost circuit; 6-an alarm circuit; 7-sensor housing; 701-a shell; 702-hexagon socket countersunk head screw; 703-a rear cover; 704-an aviation plug; 705-a first O-ring; 706-spider head screw; 707-copper studs; 708-a PCB fixation sleeve; 709-flat washer; 710-a spring washer; 711-hex locknut; 712-a front cover; 713-sealing gaskets; 714-quartz glass; 715-second O-ring seal.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "vertical", "upper", "lower", "horizontal", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
As shown in fig. 1-6, the present invention provides a self-learning anti-malfunction ultraviolet flame sensor, which comprises an ultraviolet receiving tube 1 for receiving flame ultraviolet signals, a signal processing circuit 2 for signal shaping processing, and a signal analyzing circuit 3 for analyzing the shaped signals to obtain and store an alarm threshold of the ultraviolet receiving tube 1, wherein the output end of the ultraviolet receiving tube 1 is electrically connected to the signal processing circuit 2, and the signal processing circuit 2 is connected to the signal analyzing circuit 3.
The flame irradiates the ultraviolet receiving tube 1, the ultraviolet receiving tube 1 outputs signals, the signals enter the signal processing circuit 2, the signals after signal processing and shaping are output and transmitted to the signal analysis circuit 3, and after passing through the analysis module, the alarm threshold parameters are calculated and stored in the storage module.
The invention also comprises a power circuit which supplies power to the ultraviolet receiving tube 1. The power supply circuit comprises an oscillating circuit 4 and a booster circuit 5, the oscillating circuit 4 outputs switching frequency to the booster circuit 5, and the booster circuit 5 supplies power to the ultraviolet receiving tube 1. The oscillating circuit 4 mainly functions to provide the switching frequency for the voltage boost circuit 5, adjust the resistor VR, and drive the voltage boost circuit 5 to output a rated voltage value. The booster circuit 5 supplies electric energy to the ultraviolet tube.
The signal processing circuit 2 comprises an amplitude limiting circuit and a denoising circuit, and the amplitude limiting circuit is electrically connected with the denoising circuit. And the output signal of the ultraviolet receiving tube 1 is subjected to amplitude limiting and denoising treatment, and then a square wave is output to the signal analysis circuit 3. The signal analysis circuit 3 reads the shaped signal, analyzes the frequency and the pulse width of the signal, and stores the analysis result into a memory in the module.
The invention also comprises an alarm circuit 6, wherein the alarm circuit 6 is electrically connected with the signal analysis circuit 3. The alarm circuit 6 is used for sending out an alarm signal under the control of the signal analysis circuit 3.
As shown in fig. 7, the present invention further includes a sensor housing 7 with a cavity, the ultraviolet receiving tube 1 and the power circuit are fixed in the cavity, one end of the sensor housing 7 is provided with a transparent window, and the other end is provided with a data interface for outputting signals. The sensor shell 7 comprises a shell 701, a rear cover 703 and a front cover 712, wherein the rear cover 703 is fixed at the rear end of the shell 701 through an inner hexagon countersunk head screw 702, a first O-shaped sealing ring 705 is arranged at the joint of the rear cover 703 and the shell 701, the front cover 712 is fixed at the front end of the shell 701, a second O-shaped sealing ring 715 is arranged at the joint of the front cover 712 and the front end of the shell 701, a data interface, namely an aviation plug 704 is fixed on the rear cover 703, and a quartz glass 714, an ultraviolet receiving tube 1 and a PCB are fixed in the cavity from front to back. The PCB is fixed in the cavity through a PCB fixing sleeve 708, the ultraviolet receiving tube 1 is fixedly connected with the PCB through a copper stud 707, one end of the copper stud 707 is provided with a flat washer 709, a spring washer 710 and a hexagonal locking nut 711, and the other end is a cross pan head screw 706, and the two sides of the quartz glass 714 are respectively contacted and fixed with the shell 701 and the front cover 712 through a sealing washer 713.
The invention also provides a self-learning anti-misoperation ultraviolet flame sensor learning method, which specifically comprises the following steps:
s1, vertically irradiating the ultraviolet receiving tube with flame within a certain time, specifically, vertically irradiating the ultraviolet tube with 1CD flame at 5 m for 3S, outputting the signal of the ultraviolet receiving tube to a signal processing circuit, and outputting the processed signal to a signal analysis circuit by the signal processing circuit;
s2, the signal analysis circuit records the shaped frequency and the width of each pulse square wave;
s3, repeating steps S1 and S2 at least 5 times; repeating the steps 1 and 2 10 times, wherein 10 times should be completed within 2 minutes;
s4, recording the frequency and the pulse width of the signal for analysis, wherein the minimum value of the frequency is Fmin, and the maximum value of the frequency is Fmax; the minimum value of the pulse width is Pmin, and the maximum value of the pulse width is Pmax;
s5, setting and storing an alarm signal threshold; lower frequency threshold alarm value FLower part90% × Fmin; upper frequency threshold alarm value FOn the upper part110% x Fmax; lower limit threshold alarm value P of pulse widthLower part90% x Pmin; pulse widthUpper limit threshold alarm value POn the upper part110% x Pmax; stored in EEPROM of signal analysis and processing circuit.
And S6, completing self-learning. Specifically, the ultraviolet ray receiving tube needs to be energized before the self-learning starts, and the power supply to the ultraviolet ray receiving tube can be stopped after the self-learning is finished.
And S7, if the ultraviolet ray receiving tube detects the ultraviolet ray signal of the flame, the signal processing circuit outputs the signal to the signal analyzing circuit, the signal analyzing circuit samples the signal and compares the signal with an alarm signal threshold value, if the signal is within the alarm threshold value range, the alarm signal is output, otherwise, the signal is not output. The signal analysis processing circuit samples the pulse width PMiningFrequency FMiningIn F stored in EEPROMLower part、FOn the upper part、PLower part、POn the upper partCompare if PLower part<PMining<POn the upper partAnd FLower part<FMining<FOn the upper partWhen the conditions are met simultaneously, the sensor alarm output module outputs an alarm signal; otherwise, no alarm signal is output.
The invention has the beneficial effects that: the signal analysis circuit 3 stores signals sent by the ultraviolet receiving tube 1 when receiving flame ultraviolet signals and corresponding alarm thresholds, so that self-learning of the difference of the output signals of the single ultraviolet tube is realized, corresponding alarm threshold parameters are obtained, and the problem that the alarm thresholds cannot be set to the maximum due to the difference of the output signals of the ultraviolet tube is avoided. The alarm threshold parameter is not needed to be manually set again when the ultraviolet receiving tube is replaced, and the signal analysis circuit obtains the alarm threshold parameter and stores the alarm threshold parameter into the storage module.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. The utility model provides a self-learning prevents ultraviolet flame sensor of malfunction, includes the ultraviolet ray receiving tube that is used for receiving flame ultraviolet ray signal, its characterized in that: the ultraviolet ray receiver tube alarm device is characterized by further comprising a signal processing circuit used for signal shaping processing and a signal analysis circuit used for analyzing signals after shaping processing to obtain and store an alarm threshold value of the ultraviolet ray receiver tube, wherein the output end of the ultraviolet ray receiver tube is electrically connected with the signal processing circuit, and the signal processing circuit is connected with the signal analysis circuit.
2. The self-learning anti-malfunction ultraviolet flame sensor according to claim 1, wherein: the ultraviolet ray receiving tube is characterized by further comprising a power supply circuit, wherein the power supply circuit supplies power to the ultraviolet ray receiving tube.
3. The self-learning anti-malfunction ultraviolet flame sensor according to claim 2, wherein: the power supply circuit comprises an oscillating circuit and a booster circuit, the oscillating circuit outputs switching frequency to the booster circuit, and the booster circuit supplies power to the ultraviolet receiving tube.
4. The self-learning anti-malfunction ultraviolet flame sensor according to claim 1, wherein: still include alarm circuit, alarm circuit with signal analysis circuit electric connection.
5. The self-learning anti-malfunction ultraviolet flame sensor according to claim 1, wherein: the signal processing circuit comprises an amplitude limiting circuit and a denoising circuit, and the amplitude limiting circuit is electrically connected with the denoising circuit.
6. The self-learning anti-malfunction ultraviolet flame sensor according to claim 1, wherein: the ultraviolet receiving tube is fixed in the cavity, one end of the sensor shell is provided with a transparent window, and the other end of the sensor shell is provided with a data interface for outputting signals.
7. The self-learning anti-malfunction ultraviolet flame sensor according to claim 6, wherein: the sensor shell comprises a shell, a rear cover and a front cover, wherein the rear cover is fixed at the rear end of the shell, the front cover is fixed at the front end of the shell, the data interface is fixed on the rear cover, and the transparent sheet, the ultraviolet receiving tube and the PCB are fixed in the cavity from front to back.
8. A learning method of a self-learning anti-misoperation ultraviolet flame sensor is characterized by comprising the following steps:
s1, vertically irradiating the ultraviolet receiving tube with flame within a certain time, outputting the signal of the ultraviolet receiving tube to the signal processing circuit, and outputting the processed signal to the signal analysis circuit by the signal processing circuit;
s2, the signal analysis circuit records the shaped frequency and the width of each pulse square wave;
s3, repeating steps S1 and S2 at least 5 times;
s4, recording the frequency and the pulse width of the signal for analysis, wherein the minimum value of the frequency is Fmin, and the maximum value of the frequency is Fmax; the minimum value of the pulse width is Pmin, and the maximum value of the pulse width is Pmax;
s5, setting and storing an alarm signal threshold;
and S6, completing self-learning.
9. The method as claimed in claim 8, further comprising learning a self-learning anti-malfunction UV flame sensor
And S7, if the ultraviolet ray receiving tube detects the ultraviolet ray signal of the flame, the signal processing circuit outputs the signal to the signal analyzing circuit, the signal analyzing circuit samples the signal and compares the signal with an alarm signal threshold value, if the signal is within the alarm threshold value range, the alarm signal is output, otherwise, the signal is not output.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010046602.6A CN111260877A (en) | 2020-01-16 | 2020-01-16 | Self-learning anti-misoperation ultraviolet flame sensor and self-learning method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010046602.6A CN111260877A (en) | 2020-01-16 | 2020-01-16 | Self-learning anti-misoperation ultraviolet flame sensor and self-learning method |
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| CN111260877A true CN111260877A (en) | 2020-06-09 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117173854A (en) * | 2023-09-13 | 2023-12-05 | 西安博深安全科技股份有限公司 | Coal mine open fire early warning method and system based on deep learning |
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| JPH05303695A (en) * | 1991-06-12 | 1993-11-16 | Ogura Internatl Kk | Flame detecting/alarming device containing smoke sensor |
| CN2373790Y (en) * | 1998-12-31 | 2000-04-12 | 成都旭光安全技术有限责任公司 | Infra-red/ultraviolet composite type flame detector |
| CN205656738U (en) * | 2016-04-22 | 2016-10-19 | 华侨大学 | Electric arc nature electric fire early warning device |
| CN206696996U (en) * | 2017-04-26 | 2017-12-01 | 福建天广消防有限公司 | A kind of compound flame detection device |
| CN108303697A (en) * | 2017-01-13 | 2018-07-20 | 杭州海康威视数字技术股份有限公司 | A kind of ultrasonic detection method of barrier, apparatus and system |
| CN211124305U (en) * | 2020-01-16 | 2020-07-28 | 西安博深安全科技股份有限公司 | Anti-misoperation ultraviolet flame sensor |
-
2020
- 2020-01-16 CN CN202010046602.6A patent/CN111260877A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05303695A (en) * | 1991-06-12 | 1993-11-16 | Ogura Internatl Kk | Flame detecting/alarming device containing smoke sensor |
| CN2373790Y (en) * | 1998-12-31 | 2000-04-12 | 成都旭光安全技术有限责任公司 | Infra-red/ultraviolet composite type flame detector |
| CN205656738U (en) * | 2016-04-22 | 2016-10-19 | 华侨大学 | Electric arc nature electric fire early warning device |
| CN108303697A (en) * | 2017-01-13 | 2018-07-20 | 杭州海康威视数字技术股份有限公司 | A kind of ultrasonic detection method of barrier, apparatus and system |
| CN206696996U (en) * | 2017-04-26 | 2017-12-01 | 福建天广消防有限公司 | A kind of compound flame detection device |
| CN211124305U (en) * | 2020-01-16 | 2020-07-28 | 西安博深安全科技股份有限公司 | Anti-misoperation ultraviolet flame sensor |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117173854A (en) * | 2023-09-13 | 2023-12-05 | 西安博深安全科技股份有限公司 | Coal mine open fire early warning method and system based on deep learning |
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Application publication date: 20200609 |