CN116822778A - Intelligent fire emergency management method based on image recognition technology - Google Patents
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- A—HUMAN NECESSITIES
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Abstract
The invention provides an intelligent fire-fighting emergency management method based on an image recognition technology, which is used for rapidly and comprehensively analyzing a fire scene from three aspects of environment, fire condition and weather of the fire scene, and determining the optimal fire-fighting position and fire-fighting water spraying operation matched with the real-time fire condition state of the fire scene, so that the setting time of a fire-fighting strategy can be saved, the fire condition state can be comprehensively evaluated and grasped, and the fire-fighting management efficiency and reliability are improved.
Description
Technical Field
The invention relates to the technical field of intelligent fire control management, in particular to an intelligent fire control emergency management method based on an image recognition technology.
Background
At present, when a fire-fighting mechanism receives a fire event alarm, fire-fighting personnel can be directly dispatched to a fire scene to conduct fire-extinguishing operation, in general, the fire personnel can directly conduct water spraying fire-extinguishing on the fire scene, when the fire condition of the fire scene is complex, the fire personnel can analyze the fire condition at first, and corresponding fire-fighting strategies are formulated aiming at the structure of a fire building. However, the fire extinguishing mode cannot perform targeted fire extinguishing operation according to the actual fire situation of a fire scene, or can only perform formulation of fire extinguishing strategies according to a single structural factor of a fire building, and cannot comprehensively consider the environment, weather and fire characteristics of the fire scene to perform comprehensive and rapid strategy formulation, so that the time of fire rescue is prolonged to a certain extent, and the fire management efficiency and reliability are reduced.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides an intelligent fire emergency management method based on an image recognition technology, which is used for acquiring and analyzing fire scene images of a fire scene area to obtain environment related data and fire related data of the fire scene, so as to determine first scene characteristics of the fire scene area; acquiring weather data of the fire scene area, and analyzing and processing the weather data to obtain second scene characteristics of the fire scene area; determining a plurality of optimal positions for extinguishing fire in a fire scene area and fire-fighting water spraying operation parameters thereof according to the first scene feature and the second scene feature, and uploading the optimal positions and the fire-fighting water spraying operation parameters to a fire-fighting management platform terminal; according to the method, the fire scene is rapidly and comprehensively analyzed from the three aspects of environment, fire condition and weather of the fire scene area, and the optimal fire extinguishing position and fire-fighting water spraying operation matched with the real-time fire condition state of the fire scene are determined, so that the setting time of a fire-fighting strategy can be saved, the fire condition is comprehensively estimated and grasped, and the fire-fighting management efficiency and reliability are improved.
The invention provides an intelligent fire emergency management method based on an image recognition technology, which comprises the following steps:
step S1, shooting a fire scene area to obtain a fire scene image; analyzing and processing the fire scene image, and extracting environment-related data and fire-related data of the fire scene from the fire phenomenon image;
s2, identifying object existence state information of the fire scene environment from the environment related data, and generating environment state characteristics according to the object existence state information; identifying fire status information of a fire scene from fire related data, and generating fire status characteristics according to the fire status information;
step S3, obtaining a first field characteristic of the fire scene area according to the environmental state characteristic and the fire state characteristic; acquiring weather data of a fire scene area, and analyzing and processing the weather data to obtain second scene characteristics of the fire scene area;
and S4, determining a plurality of optimal positions and fire-fighting water spraying operation parameters thereof for extinguishing the fire scene area according to the first scene characteristic and the second scene characteristic, and uploading the optimal positions and the fire-fighting water spraying operation parameters to a fire-fighting management platform terminal.
Further, in the step S1, shooting the fire scene area to obtain the fire scene image specifically includes:
synchronously carrying out visible light scanning shooting and thermal infrared scanning shooting on a fire scene area to respectively obtain a panoramic visible light image and a panoramic thermal infrared image of the fire scene;
and respectively carrying out pixel sharpening treatment on the fire scene panoramic visible light image and the fire scene panoramic thermal infrared image.
Further, in the step S1, the analyzing and processing the fire scene image, and extracting the fire scene environment-related data and the fire condition-related data from the fire phenomenon image specifically includes:
extracting building contour information and tree contour information existing in a fire scene area from the panoramic visible light image of the fire scene to serve as environment related data of the fire scene;
and extracting fire range boundary contour information and fire range internal temperature distribution information of the fire scene area from the panoramic thermal infrared image of the fire scene to serve as fire related data of the fire scene.
Further, in the step S2, the object presence status information of the fire scene environment is identified from the environment-related data, and the generating the environmental status feature according to the object presence status information specifically includes:
respectively extracting the outermost edge contour line of the building and the outermost edge contour line of the tree from the building contour and the tree contour information;
determining the occupied area of the building and the occupied range of the three-dimensional space according to the outline line of the outermost edge of the building;
determining the existence position of the tree according to the outermost edge contour line of the tree;
and forming the environment state characteristics by the occupied area of the building, the occupied range of the three-dimensional space and the existing position of the tree.
Further, in the step S2, fire status information of the fire scene is identified from the fire related data, and the generating fire status features according to the fire status information specifically includes:
extracting the boundary contour line of the outermost edge of the fire range from the boundary contour information of the fire range, and extracting the combustion area range with the highest temperature in the fire range from the temperature distribution information in the fire range;
determining the outermost border outline of the fire range according to the outermost border outline of the fire range, and determining the occupied area of the fire range;
determining the occupation area of a combustion area range with the highest temperature in the fire range according to the combustion area range;
and combining the occupied area of the fire range and the occupied area of the combustion area range into a fire state characteristic.
Further, in the step S3, the obtaining the first field feature of the fire scene area according to the environmental status feature and the fire status feature specifically includes:
according to the occupied area of the building and the occupied area of the three-dimensional space, the existing position of the tree, the occupied area of the fire range, the occupied area of the combustion area range, the existing position of the fire range in the building, the area ratio between the occupied area of the fire range and the occupied area of the building, the area ratio between the occupied area of the combustion area range and the occupied area of the building, and the relative distance between the tree and the fire range are obtained, and the obtained result is used as the first field characteristic of the fire field area.
Further, in the step S3, weather data of the fire scene area is obtained, and the weather data is analyzed and processed, so that the second scene feature of the fire scene area specifically includes:
acquiring wind speed data and wind direction data of a fire scene area, and analyzing and processing the wind speed data and the wind direction data to obtain wind field flow parameters of the fire scene area, wherein the wind field flow parameters are used as second field characteristics of the fire scene area; wherein the wind field flow parameters include wind field flow vector magnitude and direction for the fire scene area.
Further, in the step S4, determining, according to the first field feature and the second field feature, a plurality of optimal positions for extinguishing a fire in the fire scene area and fire-fighting water spraying operation parameters thereof, and uploading the optimal positions and the fire-fighting water spraying operation parameters to a fire-fighting management platform terminal specifically includes:
determining that the position meeting the condition of being in a windward position in the fire scene area is selected according to the first field characteristic and the second field characteristic, wherein the average wind speed meets a preset wind speed range, and the position of at least one condition in trees in a preset distance range from the fire house range is used as the optimal position for extinguishing the fire in the fire scene area;
determining a fire water spray range and water spray pressure for extinguishing a fire in a fire scene area as the fire water spray operation parameters according to at least one of the existing position of the fire range in the first scene feature in the building, the area ratio between the occupied area of the fire range and the occupied area of the building, and the area ratio between the occupied area of the combustion area range and the occupied area of the building;
and packing the optimal position and the fire-fighting water spraying operation parameters to a fire-fighting management platform terminal.
Compared with the prior art, the intelligent fire emergency management method based on the image recognition technology collects and analyzes fire scene images of a fire scene area to obtain environment related data and fire related data of the fire scene, so as to determine first scene characteristics of the fire scene area; acquiring weather data of the fire scene area, and analyzing and processing the weather data to obtain second scene characteristics of the fire scene area; determining a plurality of optimal positions for extinguishing fire in a fire scene area and fire-fighting water spraying operation parameters thereof according to the first scene feature and the second scene feature, and uploading the optimal positions and the fire-fighting water spraying operation parameters to a fire-fighting management platform terminal; according to the method, the fire scene is rapidly and comprehensively analyzed from the three aspects of environment, fire condition and weather of the fire scene area, and the optimal fire extinguishing position and fire-fighting water spraying operation matched with the real-time fire condition state of the fire scene are determined, so that the setting time of a fire-fighting strategy can be saved, the fire condition is comprehensively estimated and grasped, and the fire-fighting management efficiency and reliability are improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of an intelligent fire emergency management method based on an image recognition technology.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a schematic flow chart of an intelligent fire emergency management method based on an image recognition technology according to an embodiment of the present invention is shown. The intelligent fire emergency management method based on the image recognition technology comprises the following steps:
step S1, shooting a fire scene area to obtain a fire scene image; analyzing and processing the fire scene image, and extracting environment-related data and fire-related data of the fire scene from the fire phenomenon image;
s2, identifying and obtaining object existence state information of the fire scene environment from the environment related data, and generating environment state characteristics according to the object existence state information; identifying fire status information of a fire scene from fire related data, and generating fire status characteristics according to the fire status information;
step S3, obtaining a first field characteristic of the fire scene area according to the environmental state characteristic and the fire state characteristic; acquiring weather data of a fire scene area, and analyzing and processing the weather data to obtain second scene characteristics of the fire scene area;
and S4, determining a plurality of optimal positions and fire-fighting water spraying operation parameters thereof for extinguishing the fire scene area according to the first scene characteristic and the second scene characteristic, and uploading the optimal positions and the fire-fighting water spraying operation parameters to a fire-fighting management platform terminal.
The beneficial effects of the technical scheme are as follows: the intelligent fire emergency management method based on the image recognition technology collects and analyzes fire scene images of a fire scene area to obtain environment related data and fire related data of the fire scene area, so as to determine first scene characteristics of the fire scene area; acquiring weather data of the fire scene area, and analyzing and processing the weather data to obtain second scene characteristics of the fire scene area; determining a plurality of optimal positions for extinguishing fire in a fire scene area and fire-fighting water spraying operation parameters thereof according to the first scene feature and the second scene feature, and uploading the optimal positions and the fire-fighting water spraying operation parameters to a fire-fighting management platform terminal; according to the method, the fire scene is rapidly and comprehensively analyzed from the three aspects of environment, fire condition and weather of the fire scene area, and the optimal fire extinguishing position and fire-fighting water spraying operation matched with the real-time fire condition state of the fire scene are determined, so that the setting time of a fire-fighting strategy can be saved, the fire condition is comprehensively estimated and grasped, and the fire-fighting management efficiency and reliability are improved.
Preferably, in the step S1, shooting the fire scene area to obtain the fire scene image specifically includes:
synchronously carrying out visible light scanning shooting and thermal infrared scanning shooting on a fire scene area to respectively obtain a panoramic visible light image and a panoramic thermal infrared image of the fire scene;
and respectively carrying out pixel sharpening processing on the fire scene panoramic visible light image and the fire scene panoramic thermal infrared image.
The beneficial effects of the technical scheme are as follows: in actual work, unmanned aerial vehicles provided with visible light cameras and thermal infrared cameras can be utilized to hover and fly in a fire scene area, and in the hover and fly process, visible light scanning shooting and thermal infrared scanning shooting are synchronously carried out on the fire scene area, so that a fire scene panoramic visible light image and a fire scene panoramic thermal infrared image are obtained, the fire scene area can be detected in a visible light wave band and a thermal infrared wave band, and the object existence state and the fire state of the fire scene area can be accurately and comprehensively identified.
Preferably, in the step S1, the analysis processing is performed on the fire scene image, and the extracting the environmental related data and the fire related data of the fire scene from the fire phenomenon image specifically includes:
extracting building contour information and tree contour information existing in a fire scene area from the panoramic visible light image of the fire scene, and taking the building contour information and the tree contour information as environment related data of the fire scene;
the fire scene panoramic thermal infrared image is used for extracting fire scene boundary outline information and fire scene internal temperature distribution information of a fire scene area to serve as fire scene related data of the fire scene.
The beneficial effects of the technical scheme are as follows: through the mode, pixel outline identification processing is carried out on the panoramic visible light image of the fire scene and the panoramic thermal infrared image of the fire scene, building outline information and tree outline information in the panoramic visible light image and the panoramic thermal infrared image of the fire scene are extracted, and fire scope boundary outline information is extracted, so that the existence state of objects and the flame coverage area of the fire scene area can be accurately identified. In addition, through the distribution range of infrared wavelength in the scene of fire panoramic thermal infrared image, can contrast and discern the inside temperature height distribution information of fire range like this, realize the accurate calibration to the fire temperature condition.
Preferably, in the step S2, the object presence status information of the fire scene environment is identified from the environment-related data, and the generating the environment status feature according to the object presence status information specifically includes:
respectively extracting the outermost edge contour line of the building and the outermost edge contour line of the tree from the building contour and the tree contour information;
determining the occupied area of the building and the occupied range of the three-dimensional space according to the outline line of the outermost edge of the building;
determining the existence position of the tree according to the outermost edge contour line of the tree;
the occupied area of the building and the occupied range of the three-dimensional space are combined with the existing position of the tree to form the environmental state characteristic.
The beneficial effects of the technical scheme are as follows: by the method, the outline information of the building and the outline information of the tree are taken as references, the outline line of the outermost edge of the building and the outline line of the outermost edge of the tree are determined in the corresponding visible light image picture, and then the occupation range of the building on the ground and the height distribution condition of the building on the three-dimensional space are determined according to the outline line of the outermost edge of the building, so that the occupation range of the building and the occupation range of the three-dimensional space are determined; and determining the tree diameter range of the bottom end of the tree according to the outermost edge contour line of the tree, thereby determining the existence position of the tree. The occupied area of the building, the occupied range of the three-dimensional space and the existing position of the tree are combined to form the environmental state characteristics, so that the object elements of the fire scene area can be accurately and comprehensively calibrated.
Preferably, in the step S2, fire status information of the fire scene is identified from the fire related data, and the generating the fire status feature according to the fire status information specifically includes:
extracting the boundary contour line of the outermost edge of the fire range from the boundary contour information of the fire range, and extracting the combustion area range with the highest temperature in the fire range from the temperature distribution information in the fire range;
determining the outermost border outline of the fire range according to the outermost border outline of the fire range, and determining the occupied area of the fire range;
determining the occupation area of a combustion area range with the highest temperature in the fire range according to the combustion area range;
the floor area of the fire range and the floor area of the combustion area range are combined to form the fire state characteristics.
The beneficial effects of the technical scheme are as follows: by the mode, the occupation area of the coverage area of the fire area and the occupation area of the combustion area range with the highest combustion temperature in the fire area are determined in the corresponding thermal infrared image picture by taking the outermost border outline line of the fire area and the temperature distribution information in the fire area as references, so that fire state characteristics are formed together, and fire elements in the fire scene area are calibrated accurately and comprehensively.
Preferably, in the step S3, obtaining the first field feature of the fire scene area according to the environmental status feature and the fire status feature specifically includes:
according to the occupied area of the building and the occupied area of the three-dimensional space, the existing position of the tree, the occupied area of the fire range, the occupied area of the combustion area range, the existing position of the fire range in the building, the area ratio between the occupied area of the fire range and the occupied area of the building, the area ratio between the occupied area of the combustion area range and the occupied area of the building, and the relative distance between the tree and the fire range are obtained, and the method is used as the first field feature of the fire field area.
The beneficial effects of the technical scheme are as follows: by the method, different elements such as buildings, trees, fire ranges and the like in the fire scene area can be quantitatively determined, so that the first scene characteristic can comprehensively reflect the actual situation of the fire scene area.
Preferably, in the step S3, weather data of the fire scene area is acquired, and the weather data is analyzed to obtain the second scene feature of the fire scene area, where the second scene feature specifically includes:
acquiring wind speed data and wind direction data of a fire scene area, and analyzing and processing the wind speed data and the wind direction data to obtain wind field flow parameters of the fire scene area, wherein the wind field flow parameters are used as second field characteristics of the fire scene area; wherein the wind field flow parameters include wind field flow vector magnitude and direction for the fire scene area.
The beneficial effects of the technical scheme are as follows: because the wind speed and the wind direction of the fire scene area influence the development and spreading trend of the fire, when the wind speed is larger, the spreading speed and the spreading range of the fire are also larger, and the fire is more easily influenced by the spread of the fire in the downwind area. The wind field distribution form of the fire scene area can be correspondingly constructed by acquiring wind speed data and wind direction data of the fire scene area and inputting the wind speed data and the wind direction data into a corresponding wind field neural network model, so that the wind field flow vector size and direction of the fire scene area can be obtained, wherein the wind field flow vector refers to an air flow vector in a vector field formed by corresponding simulation according to air flowing in the wind field.
Preferably, in the step S4, determining a plurality of optimal positions for extinguishing a fire in the fire scene area and fire-fighting water spraying operation parameters thereof according to the first scene feature and the second scene feature, and uploading the optimal positions and the fire-fighting water spraying operation parameters to a fire-fighting management platform terminal specifically includes:
determining, according to the first field feature and the second field feature, that a position meeting at least one condition in trees in a preset distance range from a fire scene area is selected as an optimal position for extinguishing a fire in the fire scene area, wherein the position meets a windward position, an average wind speed meets a preset wind speed range, and the distance between the fire scene ranges is within the preset distance range;
determining a fire water spray range and water spray pressure for extinguishing a fire in the fire scene area as the fire water spray operation parameters according to at least one of the existing position of the fire range in the first scene feature in the building, the area ratio between the occupied area of the fire range and the occupied area of the building, and the area ratio between the occupied area of the combustion area range and the occupied area of the building;
and then the optimal position and the fire-fighting water spraying operation parameters are packaged and uploaded to a fire-fighting management platform terminal.
The beneficial effects of the technical scheme are as follows: in actual work, the first field characteristic and the second field characteristic can be input into a preset fire analysis neural network model, so that the model can quickly determine that the position in a fire disaster site area is met, the average wind speed meets the preset wind speed range, and the positions of at least one condition in trees in the preset distance range, which are away from each other, of the fire house range can facilitate fire fighters to perform targeted fire extinguishing water spraying operation, and the fire extinguishing efficiency of the fire disaster site is improved; in addition, the model can also determine the fire-fighting water spray range and water spray pressure for extinguishing fire in the fire scene area according to the first scene feature, and generally, when the fire coverage of the fire scene area is larger, the height of a fire building is higher, the corresponding fire-fighting water spray range and water spray pressure are also larger, so that the accurate directional water spray of the fire scene area can be ensured, and the utilization efficiency of fire-fighting water is improved.
As can be seen from the content of the above embodiment, the intelligent fire emergency management method based on the image recognition technology collects and analyzes the fire scene image of the fire scene area to obtain the environment related data and the fire related data of the fire scene, so as to determine the first scene feature of the fire scene area; acquiring weather data of the fire scene area, and analyzing and processing the weather data to obtain second scene characteristics of the fire scene area; determining a plurality of optimal positions for extinguishing fire in a fire scene area and fire-fighting water spraying operation parameters thereof according to the first scene feature and the second scene feature, and uploading the optimal positions and the fire-fighting water spraying operation parameters to a fire-fighting management platform terminal; according to the method, the fire scene is rapidly and comprehensively analyzed from the three aspects of environment, fire condition and weather of the fire scene area, and the optimal fire extinguishing position and fire-fighting water spraying operation matched with the real-time fire condition state of the fire scene are determined, so that the setting time of a fire-fighting strategy can be saved, the fire condition is comprehensively estimated and grasped, and the fire-fighting management efficiency and reliability are improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. The intelligent fire emergency management method based on the image recognition technology is characterized by comprising the following steps of:
step S1, shooting a fire scene area to obtain a fire scene image; analyzing and processing the fire scene image, and extracting environment-related data and fire-related data of the fire scene from the fire phenomenon image;
s2, identifying object existence state information of the fire scene environment from the environment related data, and generating environment state characteristics according to the object existence state information; identifying fire status information of a fire scene from fire related data, and generating fire status characteristics according to the fire status information;
step S3, obtaining a first field characteristic of the fire scene area according to the environmental state characteristic and the fire state characteristic; acquiring weather data of a fire scene area, and analyzing and processing the weather data to obtain second scene characteristics of the fire scene area;
and S4, determining a plurality of optimal positions and fire-fighting water spraying operation parameters thereof for extinguishing the fire scene area according to the first scene characteristic and the second scene characteristic, and uploading the optimal positions and the fire-fighting water spraying operation parameters to a fire-fighting management platform terminal.
2. The intelligent fire emergency management method based on the image recognition technology as claimed in claim 1, wherein:
in the step S1, shooting the fire scene area to obtain the fire scene image specifically includes:
synchronously carrying out visible light scanning shooting and thermal infrared scanning shooting on a fire scene area to respectively obtain a panoramic visible light image and a panoramic thermal infrared image of the fire scene;
and respectively carrying out pixel sharpening treatment on the fire scene panoramic visible light image and the fire scene panoramic thermal infrared image.
3. The intelligent fire emergency management method based on the image recognition technology as claimed in claim 2, wherein:
in the step S1, the analysis processing is performed on the fire scene image, and the extracting the fire scene environment-related data and the fire condition-related data from the fire phenomenon image specifically includes: extracting building contour information and tree contour information existing in a fire scene area from the panoramic visible light image of the fire scene to serve as environment related data of the fire scene;
and extracting fire range boundary contour information and fire range internal temperature distribution information of the fire scene area from the panoramic thermal infrared image of the fire scene to serve as fire related data of the fire scene.
4. The intelligent fire emergency management method based on the image recognition technology as claimed in claim 3, wherein:
in the step S2, the object presence status information of the fire scene environment is identified from the environment-related data, and the generating the environmental status feature according to the object presence status information specifically includes:
respectively extracting the outermost edge contour line of the building and the outermost edge contour line of the tree from the building contour and the tree contour information;
determining the occupied area of the building and the occupied range of the three-dimensional space according to the outline line of the outermost edge of the building;
determining the existence position of the tree according to the outermost edge contour line of the tree;
and forming the environment state characteristics by the occupied area of the building, the occupied range of the three-dimensional space and the existing position of the tree.
5. The intelligent fire emergency management method based on the image recognition technology as claimed in claim 4, wherein:
in the step S2, fire status information of the fire scene is identified from the fire related data, and the generating fire status features according to the fire status information specifically includes:
extracting the boundary contour line of the outermost edge of the fire range from the boundary contour information of the fire range, and extracting the combustion area range with the highest temperature in the fire range from the temperature distribution information in the fire range;
determining the outermost border outline of the fire range according to the outermost border outline of the fire range, and determining the occupied area of the fire range;
determining the occupation area of a combustion area range with the highest temperature in the fire range according to the combustion area range;
and combining the occupied area of the fire range and the occupied area of the combustion area range into a fire state characteristic.
6. The intelligent fire emergency management method based on the image recognition technology as claimed in claim 5, wherein:
in the step S3, obtaining the first field feature of the fire scene area according to the environmental status feature and the fire status feature specifically includes:
according to the occupied area of the building and the occupied area of the three-dimensional space, the existing position of the tree, the occupied area of the fire range, the occupied area of the combustion area range, the existing position of the fire range in the building, the area ratio between the occupied area of the fire range and the occupied area of the building, the area ratio between the occupied area of the combustion area range and the occupied area of the building, and the relative distance between the tree and the fire range are obtained, and the obtained result is used as the first field characteristic of the fire field area.
7. The intelligent fire emergency management method based on the image recognition technology as claimed in claim 6, wherein:
in the step S3, obtaining weather data of a fire scene area, and analyzing and processing the weather data to obtain a second scene feature of the fire scene area specifically includes:
acquiring wind speed data and wind direction data of a fire scene area, and analyzing and processing the wind speed data and the wind direction data to obtain wind field flow parameters of the fire scene area, wherein the wind field flow parameters are used as second field characteristics of the fire scene area; wherein the wind field flow parameters include wind field flow vector magnitude and direction for the fire scene area.
8. The intelligent fire emergency management method based on the image recognition technology as claimed in claim 7, wherein:
in the step S4, determining, according to the first field feature and the second field feature, a plurality of optimal positions for extinguishing a fire in the fire scene area and fire-fighting water spraying operation parameters thereof, and uploading the optimal positions and the fire-fighting water spraying operation parameters to a fire-fighting management platform terminal specifically includes:
determining that the position meeting the condition of being in a windward position in the fire scene area is selected according to the first field characteristic and the second field characteristic, wherein the average wind speed meets a preset wind speed range, and the position of at least one condition in trees in a preset distance range from the fire house range is used as the optimal position for extinguishing the fire in the fire scene area;
determining a fire water spray range and water spray pressure for extinguishing a fire in a fire scene area as the fire water spray operation parameters according to at least one of the existing position of the fire range in the first scene feature in the building, the area ratio between the occupied area of the fire range and the occupied area of the building, and the area ratio between the occupied area of the combustion area range and the occupied area of the building; and packing the optimal position and the fire-fighting water spraying operation parameters to a fire-fighting management platform terminal.
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| CN117041331B (en) * | 2023-10-10 | 2023-12-08 | 潍坊市平安消防工程有限公司 | Fire alarm system and method thereof |
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