CN111028465A - Smoke temperature detector - Google Patents
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- CN111028465A CN111028465A CN201911079276.2A CN201911079276A CN111028465A CN 111028465 A CN111028465 A CN 111028465A CN 201911079276 A CN201911079276 A CN 201911079276A CN 111028465 A CN111028465 A CN 111028465A
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- 239000000779 smoke Substances 0.000 title claims abstract description 45
- 230000000391 smoking effect Effects 0.000 claims abstract description 11
- 238000012545 processing Methods 0.000 claims description 39
- 230000011218 segmentation Effects 0.000 claims description 33
- 238000001914 filtration Methods 0.000 claims description 21
- 230000008859 change Effects 0.000 claims description 17
- 238000001514 detection method Methods 0.000 claims description 9
- 230000004069 differentiation Effects 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 9
- 238000012937 correction Methods 0.000 claims description 7
- 238000007405 data analysis Methods 0.000 claims description 6
- 238000013075 data extraction Methods 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 239000003086 colorant Substances 0.000 claims description 3
- 241000238631 Hexapoda Species 0.000 abstract description 2
- 230000000903 blocking effect Effects 0.000 abstract description 2
- 239000002131 composite material Substances 0.000 description 6
- 238000005034 decoration Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000003707 image sharpening Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000009434 installation Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 239000004065 semiconductor Substances 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
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B5/00—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied
- G08B5/22—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission
- G08B5/36—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission using visible light sources
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Abstract
The invention provides a smoke temperature detector, comprising: the smoking device comprises a body, wherein bosses are arranged on the body, smoking pillars are annularly and equidistantly arranged on the bosses, a guide channel is formed between every two adjacent smoking pillars, and an insect-proof net is arranged on the guide channel; and a safety indicator lamp is arranged on the boss. The smoke temperature detector has a simple structure, and the safety indicator lamp is arranged on the boss, so that the smoke temperature detector has the function of directional guiding; the insect-proof net is arranged on the guide channel of the detector, so that insects are prevented from entering and blocking the guide channel, and the service life of the smoke temperature detector is prevented from being influenced.
Description
Technical Field
The invention relates to a fire-fighting unit, in particular to a smoke temperature detector.
Background
The smoke temperature composite sensing detector is widely applied to public places such as houses, buildings, office buildings, schools, hospitals and the like, the installation amount is large, and the product demand is also large. The smoke detector and the temperature detector are integrated on the same detector. The smoke temperature composite detector can be used as an independent smoke detector or a temperature-sensitive detector, and meanwhile, two detector modes can be effectively combined together, so that the smoke temperature composite detector is more effective in detector fire alarm. The working principle of the device is a combination of two principles of photoelectric smoke sensing and temperature sensing detectors from a wide perspective. The composite detection technology is a novel multifunctional high-reliability fire detection technology which is popular internationally at present. The composite smoke-sensing and temperature-sensing fire detector is a multi-element composite detector formed by a smoke sensing device and a semiconductor temperature sensing device together from a process structure and a circuit structure. It not only has the performance of traditional photoelectric smoke fire detector, but also has the performance of constant temperature, difference constant temperature fire detector, and the application range is wide. The existing smoke temperature detector generally has the functions of smoke sensing or temperature sensing, and the functional usability is limited to a certain extent.
Disclosure of Invention
Technical problem to be solved
The invention aims to provide a smoke temperature detector which is simple in structure and provided with an indicator light.
(II) technical scheme
In order to solve the above technical problems, the present invention provides a smoke temperature detector, comprising: the smoking device comprises a body, wherein bosses are arranged on the body, smoking pillars are annularly and equidistantly arranged on the bosses, a guide channel is formed between every two adjacent smoking pillars, and an insect-proof net is arranged on the guide channel; and a safety indicator lamp is arranged on the boss. The smoke temperature detector is simple in overall structure, the safety indicator lamp can be combined with the smoke temperature detector, the application range of the smoke temperature detector is widened, and the cost for people to purchase respectively can be reduced.
The smoke temperature detector has high product demand, is widely applied to public places such as houses, buildings, office buildings, schools, hospitals and the like, once a fire condition occurs in the public places, people at a far distance cannot determine the scene fire condition, more scene information cannot be provided for people nearby, and the intelligent degree is low; therefore, the technical scheme also comprises the following steps:
the display switching unit is used for switching different colors for the display of the safety indicator lamp;
the data acquisition unit is used for acquiring image data of the surrounding environment of the smoke temperature detector to obtain a corresponding surrounding environment image;
the data extraction unit is connected with the data acquisition unit and is used for acquiring multiple frames of surrounding environment images which are continuous in time;
the data analysis unit is connected with the data extraction unit and used for executing the following operations on each frame of surrounding environment image: determining each gray value of each pixel point of the surrounding environment image, and performing histogram processing on the surrounding environment image based on each gray value of each pixel point to obtain a corresponding histogram distribution map;
the data comparison unit is connected with the data analysis unit and used for acquiring each histogram distribution graph corresponding to a plurality of frames of surrounding environment images respectively, analyzing the variation degree of each histogram distribution graph to acquire the image level variation degree, and sending a position correction signal when the image level variation degree exceeds the limit, and sending a position maintaining signal when the image level variation degree does not exceed the limit;
the holder control unit is connected with the holder of the data acquisition unit and the data comparison unit and is used for correspondingly correcting the position of the holder according to the image level change degree when receiving the position correction signal;
the deviation degree identification unit is connected with the data acquisition unit and used for receiving a surrounding environment image, acquiring each brightness value of each pixel point of the surrounding environment image, performing standard deviation calculation on each brightness value, taking the obtained numerical value of the standard deviation as reference data, performing uniform segmentation on the surrounding environment image based on the reference data to obtain a plurality of segmentation blocks, detecting three noise types with the first three amplitude values in the segmentation blocks aiming at each segmentation block, determining the signal-to-noise ratio of the segmentation block based on the amplitude values respectively corresponding to the three noise types, and determining the threshold size for performing background segmentation on the segmentation block based on the signal-to-noise ratio of the segmentation block;
the background stripping unit is connected with the deviation degree identification unit and used for executing background segmentation processing on each segmentation block based on a determined threshold value so as to obtain a corresponding block to be identified, fitting each block to be identified of each segmentation block so as to obtain an image to be identified and outputting the image to be identified;
the self-adaptive high-frequency analysis unit is connected with the background stripping unit and used for receiving the image to be identified, carrying out contrast measurement on the image to be identified so as to obtain the real-time contrast corresponding to the image to be identified, and determining the corresponding high-frequency distribution frequency band in the image to be identified based on the real-time contrast so as to output the high-frequency distribution frequency band as a target frequency band;
the image differentiation unit is respectively connected with the frequency band extraction unit and the contrast measurement unit and is used for receiving the target frequency band and the image to be identified, executing high-pass filtering processing based on the target frequency band on the image to be identified so as to obtain a corresponding high-pass filtering image and outputting the high-pass filtering image;
the difference value acquisition unit is connected with the image differentiation unit and is used for acquiring the image to be identified and the high-pass filtering image, and is also used for subtracting the high-pass filtering image from the image to be identified pixel by pixel to acquire a corresponding difference value processing image and outputting the difference value processing image;
the targeted processing unit is respectively connected with the difference value acquisition unit and the image differentiation unit, and is used for receiving the high-pass filtering image and the difference value processing image, performing feature enhancement processing on the high-pass filtering image to obtain and output a corresponding feature enhanced image, and adding the feature enhanced image and the difference value processing image pixel by pixel to obtain a corresponding reconstructed image and outputting the reconstructed image;
and the flame extraction unit is connected with the targeted processing unit and used for receiving the reconstructed image, acquiring the gray value of each pixel point in the reconstructed image, setting the pixel points with the gray values within the range of the preset flame gray value as flame pixel points, forming one or more flame objects by each flame pixel point in the reconstructed image, and outputting the number of the flame objects in the reconstructed image as the number of real-time flames.
Further, the display switching unit is further connected to the flame extraction unit, and is configured to, when the number of the real-time flames is not zero, cause the safety indicator to display red, and determine a corresponding red depth based on the number of the real-time flames.
Further, in the display switching unit, determining the corresponding red depth based on the real-time flame number includes: the greater the number of real-time flames, the deeper the determined corresponding red depth; the display switching unit is also used for enabling the safety indicator lamp to display green when the number of the real-time flames is zero, and the safety indicator lamp is in a safe passable state at the moment.
Further, in the data comparison unit, analyzing the degree of change of each histogram profile includes: for each gray distribution range, determining a degree of change of each histogram profile within the gray distribution range as a sub-range degree of change, and calculating the image level change degree based on each sub-range degree of change of each gray distribution range and each weight of each gray distribution range.
Further, the gray distribution ranges are all between 0 and 255 and are uniformly distributed between 0 and 255, and the weights of the gray distribution ranges are different; for each weight of each gray scale distribution range, the closer to the gray scale distribution range of 125, the greater the weight thereof; the larger the reference data is, the larger the number of divided blocks obtained by uniformly dividing the surrounding image is.
Further, the deviation degree identification unit and the background peeling unit are realized by adopting different SOC chips; the background stripping unit is realized by adopting a DSP processing chip, and the DSP processing chip also comprises a built-in storage unit which is respectively connected with the signal-to-noise ratio detection unit and the background stripping unit so as to store each threshold value of each block determined by the signal-to-noise ratio detection unit.
(III) advantageous effects
The smoke temperature detector has a simple structure, and the safety indicator lamp is arranged on the boss, so that the smoke temperature detector has the function of directional guiding; the insect-proof net is arranged on the guide channel of the detector, so that insects are prevented from entering and blocking the guide channel, and the service life of the smoke temperature detector is prevented from being influenced.
Drawings
FIG. 1 is a perspective view of a smoke temperature detector of the present invention;
wherein: 1 is a body, 2 is a boss, 3 is a smoking pillar, 4 is a guide channel, 5 is an insect-proof net, and 6 is a safety indicator lamp.
Detailed Description
Referring to fig. 1, the present invention provides a smoke temperature detector including: the body 1 is provided with bosses 2, smoking pillars 3 are annularly arranged on the bosses 2 at equal intervals, a guide channel 4 is formed between two adjacent smoking pillars 3, and an insect-proof net 5 is arranged on the guide channel 4; be provided with safety indicator 6 on the boss 2, safety indicator 6 is liquid crystal display. The holistic simple structure of this embodiment smoke temperature detector can combine the safety indicator lamp to smoke temperature detector on, has improved smoke temperature detector's application range, can reduce the cost that people purchased respectively.
The smoke temperature detector has high product demand, is widely applied to public places such as houses, buildings, office buildings, schools, hospitals and the like, once a fire condition occurs in the public places, people at a far distance cannot determine the scene fire condition, more scene information cannot be provided for people nearby, and the intelligent degree is low; therefore, the present embodiment further includes:
the display switching unit is used for switching different colors for the display of the safety indicator lamp 6; the data acquisition unit is used for acquiring image data of the surrounding environment of the smoke temperature detector to obtain a corresponding surrounding environment image; the data extraction unit is connected with the data acquisition unit and is used for acquiring multiple frames of surrounding environment images which are continuous in time; the data analysis unit is connected with the data extraction unit and used for executing the following operations on each frame of surrounding environment image: determining each gray value of each pixel point of the surrounding environment image, and performing histogram processing on the surrounding environment image based on each gray value of each pixel point to obtain a corresponding histogram distribution map; the data comparison unit is connected with the data analysis unit and used for acquiring each histogram distribution graph corresponding to each multi-frame surrounding environment image, analyzing the change degree of each histogram distribution graph to acquire the image level change degree, and sending a position correction signal when the image level change degree exceeds the limit, and sending a position holding signal when the image level change degree does not exceed the limit; the holder control unit is connected with the holder of the data acquisition unit and the data comparison unit and is used for correspondingly correcting the position of the holder according to the image level variation degree when receiving the position correction signal; the deviation degree identification unit is connected with the data acquisition unit and used for receiving the surrounding environment image, acquiring each brightness value of each pixel point of the surrounding environment image, performing standard deviation calculation on each brightness value, taking the obtained numerical value of the standard deviation as reference data, performing uniform segmentation on the surrounding environment image based on the reference data to obtain a plurality of segmentation blocks, detecting three noise types with the first three amplitude values in the segmentation blocks aiming at each segmentation block, determining the signal-to-noise ratio of the segmentation block based on the amplitude values respectively corresponding to the three noise types, and determining the threshold size for performing background segmentation on the segmentation block based on the signal-to-noise ratio of the segmentation block; the background stripping unit is connected with the deviation degree identification unit and used for executing background segmentation processing on each segmentation block on the basis of the determined threshold value so as to obtain a corresponding to-be-identified block, fitting each to-be-identified block of each segmentation block so as to obtain an to-be-identified image and outputting the to-be-identified image; the self-adaptive high-frequency analysis unit is connected with the background stripping unit and used for receiving the image to be identified, carrying out contrast measurement on the image to be identified so as to obtain the real-time contrast corresponding to the image to be identified, and determining the high-frequency distribution frequency band in the corresponding image to be identified based on the real-time contrast so as to output the high-frequency distribution frequency band as a target frequency band; the image differentiation unit is respectively connected with the frequency band extraction unit and the contrast measurement unit and is used for receiving the target frequency band and the image to be identified, executing high-pass filtering processing based on the target frequency band on the image to be identified so as to obtain a corresponding high-pass filtering image and outputting the high-pass filtering image; the difference value acquisition unit is connected with the image differentiation unit and is used for acquiring an image to be identified and a high-pass filtering image, and also used for subtracting the high-pass filtering image from the image to be identified pixel by pixel to acquire a corresponding difference value processing image and outputting the difference value processing image; the targeted processing unit is respectively connected with the difference value acquisition unit and the image differentiation unit and is used for receiving the high-pass filtering image and the difference value processing image, performing characteristic enhancement processing on the high-pass filtering image to obtain and output a corresponding characteristic enhanced image, adding the characteristic enhanced image and the difference value processing image pixel by pixel to obtain a corresponding reconstructed image and outputting the reconstructed image; and the flame extraction unit is connected with the targeted processing unit and used for receiving the reconstructed image, acquiring the gray value of each pixel point in the reconstructed image, setting the pixel points with the gray values within the range of the preset flame gray value as flame pixel points, forming one or more flame objects by each flame pixel point in the reconstructed image, and outputting the number of the flame objects in the reconstructed image as the number of the real-time flames.
The display switching unit is also connected with the flame extraction unit and used for enabling the safety indicator lamp 6 to display red when the number of the real-time flames is not zero and determining the corresponding red depth based on the number of the real-time flames.
In the display switching unit, determining the respective red depths based on the real-time flame numbers includes: the larger the number of real-time flames, the deeper the determined corresponding red depth; the display switching unit is also used for enabling the safety indicator lamp 6 to display green when the real-time flame number is zero.
In the data comparison unit, analyzing the degree of change of each histogram profile includes: for each gray distribution range, the variation degree of each histogram profile within the gray distribution range is determined as a sub-range variation degree, and the image level variation degree is calculated based on each sub-range variation degree of each gray distribution range and each weight of each gray distribution range.
Wherein, each gray distribution range falls between 0 and 255 and is uniformly distributed between 0 and 255, and each weight of each gray distribution range is different; for each weight of each gray scale distribution range, the closer to the gray scale distribution range of 125, the greater the weight thereof; the larger the reference data is, the larger the number of divided blocks obtained by uniformly dividing the surrounding image is.
The deviation degree identification unit and the background stripping unit are realized by adopting different SOC chips; the background stripping unit is realized by adopting a DSP processing chip, and the DSP processing chip also comprises a built-in storage unit which is respectively connected with the signal-to-noise ratio detection unit and the background stripping unit so as to store each threshold value of each block determined by the signal-to-noise ratio detection unit.
According to the requirement of digital signal processing, a DSP processing chip generally has some main features as follows: 1. one multiplication and one addition can be completed in one instruction cycle; 2. the program and the data space are separated, and the instruction and the data can be accessed simultaneously; 3. the chip is provided with a fast RAM which can be accessed in two blocks at the same time through independent data buses; 4. hardware support with low or no overhead loops and jumps; 5. fast interrupt handling and hardware I/O support; 6. having a plurality of hardware address generators operating in a single cycle; 7. multiple operations may be performed in parallel; 8. and pipeline operation is supported, so that the operations of fetching, decoding, executing and the like can be executed in an overlapping way.
The smoke temperature detector is provided with the safety indicator lamp, so that the overall intelligent degree is high, and whether flame safety hidden danger exists can be intelligently detected; the mode of determining the corresponding red depth based on the number of real-time flames comprises the following steps: the larger the number of the real-time flames is, the deeper the determined corresponding red depth is, so that more scene information is provided for people nearby; a self-adaptive image sharpening processing mode is adopted, so that the image sharpening effect is ensured; based on the detection of brightness and the noise analysis of block data, the image to be recognized with the background stripped is obtained, and the accuracy of subsequent image recognition operation is improved; and acquiring the histogram distribution graph of each frame in the continuous frames, and determining whether the data acquisition unit deviates from the preset position and performing corresponding correction based on the comparison result of the histogram distribution graph of each frame, so that the monitoring effectiveness is improved.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the technical principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (9)
1. A smoke temperature detector, comprising: the device comprises a body (1), wherein bosses (2) are arranged on the body (1), smoking pillars (3) are annularly and equidistantly arranged on the bosses (2), a guide channel (4) is formed between every two adjacent smoking pillars (3), and an insect-proof net (5) is arranged on the guide channel (4); and a safety indicator lamp (6) is arranged on the boss (2).
2. A smoke temperature detector according to claim 1, further comprising:
the display switching unit is used for switching different colors for the display of the safety indicator lamp (6);
the data acquisition unit is used for acquiring image data of the surrounding environment of the smoke temperature detector to obtain a corresponding surrounding environment image;
the data extraction unit is connected with the data acquisition unit and is used for acquiring multiple frames of surrounding environment images which are continuous in time;
the data analysis unit is connected with the data extraction unit and used for executing the following operations on each frame of surrounding environment image: determining each gray value of each pixel point of the surrounding environment image, and performing histogram processing on the surrounding environment image based on each gray value of each pixel point to obtain a corresponding histogram distribution map;
the data comparison unit is connected with the data analysis unit and used for acquiring each histogram distribution graph corresponding to a plurality of frames of surrounding environment images respectively, analyzing the variation degree of each histogram distribution graph to acquire the image level variation degree, and sending a position correction signal when the image level variation degree exceeds the limit, and sending a position maintaining signal when the image level variation degree does not exceed the limit;
and the holder control unit is connected with the holder of the data acquisition unit and the data comparison unit and is used for correspondingly correcting the position of the holder according to the image level change degree when receiving the position correction signal.
3. A smoke temperature detector according to claim 2, further comprising:
the deviation degree identification unit is connected with the data acquisition unit and used for receiving a surrounding environment image, acquiring each brightness value of each pixel point of the surrounding environment image, performing standard deviation calculation on each brightness value, taking the obtained numerical value of the standard deviation as reference data, performing uniform segmentation on the surrounding environment image based on the reference data to obtain a plurality of segmentation blocks, detecting three noise types with the first three amplitude values in the segmentation blocks aiming at each segmentation block, determining the signal-to-noise ratio of the segmentation block based on the amplitude values respectively corresponding to the three noise types, and determining the threshold size for performing background segmentation on the segmentation block based on the signal-to-noise ratio of the segmentation block;
and the background stripping unit is connected with the deviation degree identification unit and used for executing background segmentation processing on each segmentation block based on the determined threshold value to obtain a corresponding block to be identified, fitting each block to be identified of each segmentation block to obtain an image to be identified and outputting the image to be identified.
4. A smoke temperature detector according to claim 3, further comprising:
the self-adaptive high-frequency analysis unit is connected with the background stripping unit and used for receiving the image to be identified, carrying out contrast measurement on the image to be identified so as to obtain the real-time contrast corresponding to the image to be identified, and determining the corresponding high-frequency distribution frequency band in the image to be identified based on the real-time contrast so as to output the high-frequency distribution frequency band as a target frequency band;
the image differentiation unit is respectively connected with the frequency band extraction unit and the contrast measurement unit and is used for receiving the target frequency band and the image to be identified, executing high-pass filtering processing based on the target frequency band on the image to be identified so as to obtain a corresponding high-pass filtering image and outputting the high-pass filtering image;
the difference value acquisition unit is connected with the image differentiation unit and is used for acquiring the image to be identified and the high-pass filtering image, and is also used for subtracting the high-pass filtering image from the image to be identified pixel by pixel to acquire a corresponding difference value processing image and outputting the difference value processing image;
the targeted processing unit is respectively connected with the difference value acquisition unit and the image differentiation unit, and is used for receiving the high-pass filtering image and the difference value processing image, performing feature enhancement processing on the high-pass filtering image to obtain and output a corresponding feature enhanced image, and adding the feature enhanced image and the difference value processing image pixel by pixel to obtain a corresponding reconstructed image and outputting the reconstructed image;
and the flame extraction unit is connected with the targeted processing unit and used for receiving the reconstructed image, acquiring the gray value of each pixel point in the reconstructed image, setting the pixel points with the gray values within the range of the preset flame gray value as flame pixel points, forming one or more flame objects by each flame pixel point in the reconstructed image, and outputting the number of the flame objects in the reconstructed image as the number of real-time flames.
5. A smoke temperature detector according to claim 4, wherein said display switching unit is further connected to said flame extraction unit for causing said safety indicator light (6) to display red when said real time flame number is non-zero and determining a corresponding red depth based on said real time flame number.
6. A smoke temperature detector according to claim 5, wherein in said display switching unit, determining a corresponding red color depth based on said real time flame number comprises: the greater the number of real-time flames, the deeper the determined corresponding red depth; the display switching unit is also used for enabling the safety indicator lamp (6) to display green when the number of the real-time flames is zero.
7. A smoke temperature detector according to claim 6, characterized in that in said data comparison unit, analyzing the degree of change of said respective histogram profiles comprises: for each gray distribution range, determining a degree of change of each histogram profile within the gray distribution range as a sub-range degree of change, and calculating the image level change degree based on each sub-range degree of change of each gray distribution range and each weight of each gray distribution range.
8. A smoke temperature detector according to claim 7 wherein each of said gray scale distribution ranges falls between 0 and 255 and is evenly distributed between 0 and 255, and each weight of each gray scale distribution range is different; for each weight of each gray scale distribution range, the closer to the gray scale distribution range of 125, the greater the weight thereof; the larger the reference data is, the larger the number of divided blocks obtained by uniformly dividing the surrounding image is.
9. The smoke temperature detector according to claim 8, wherein the deviation degree identifying unit and the background peeling unit are implemented using different SOC chips; the background stripping unit is realized by adopting a DSP processing chip, and the DSP processing chip also comprises a built-in storage unit which is respectively connected with the signal-to-noise ratio detection unit and the background stripping unit so as to store each threshold value of each block determined by the signal-to-noise ratio detection unit.
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| CN201911079276.2A CN111028465A (en) | 2019-11-07 | 2019-11-07 | Smoke temperature detector |
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| CN201911079276.2A CN111028465A (en) | 2019-11-07 | 2019-11-07 | Smoke temperature detector |
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Application publication date: 20200417 |