Disaster emergency system based on big data

Abstract

The application discloses a kind of disaster emergency systems based on big data, including data collection module, fire warning module and fire emergency module, it is characterized by: the data collection module is used to collect the visual data and environmental comprehensive data in real time in monitored target area, all personnel comprehensive information entering building is entered into system, the fire warning module is used to detect whether target area appears fire, further analyzes the spreading trend and dangerous degree of fire, adjusts the operation mode of spray system according to analysis result, the fire emergency module is used to obtain the location of trapped personnel in building, shunt trapped personnel, and plan evacuation route for each shunt group, the data collection module includes data entry module, vision module and sensor module, the data entry module is used to enter personnel comprehensive information entering building into system, the application has the characteristics of improving evacuation efficiency and accuracy.

Description

Technical Field

[0001] This invention relates to the field of fire emergency management technology, specifically a disaster emergency system based on big data. Background Technology

[0002] With the rapid development of society and economy, my country's urbanization process is accelerating, and large-scale integrated buildings are constantly emerging, such as large shopping malls, airports, and high-speed rail stations. Fires in these large buildings occur frequently. These places have a large flow of people, and waiting for fire rescue takes a certain amount of time. During this period, it is of great significance to evacuate trapped people to a safer place to await rescue. However, since most people do not understand the structure of large buildings, existing technologies rely on manual guidance of trapped people, which is prone to oversights and omissions, resulting in low evacuation efficiency. Moreover, existing technologies rely on temperature control or smoke detectors to sense the environment and then use comprehensive spraying to block the spread of fire. Since the temperature and smoke concentration cannot reach the system's threshold instantly during a fire, existing technologies are prone to misjudgment and omissions, resulting in poor accuracy of the sprinkler system. Some items that are not affected by the fire may be sprayed, exacerbating the fire damage. Therefore, it is necessary to design a disaster emergency system based on big data to improve evacuation efficiency and accuracy. Summary of the Invention

[0003] The purpose of this invention is to provide a disaster emergency response system based on big data to solve the problems mentioned in the background art.

[0004] To address the aforementioned technical problems, this invention provides the following technical solution: a disaster emergency response system based on big data, comprising a data collection module, a fire early warning module, and a fire emergency module, characterized in that: the data collection module is used to collect visual data and comprehensive environmental data in the monitored target area in real time, and input comprehensive information of all personnel entering the building into the system; the fire early warning module is used to detect whether a fire has occurred in the target area, further analyze the spread trend and degree of danger of the fire, and adjust the operation mode of the sprinkler system according to the analysis results; the fire emergency module is used to obtain the location of trapped personnel in the building, divert the trapped personnel, and plan evacuation routes for each diversion group;

[0005] The environmental detection module includes a visual analysis submodule, an air analysis submodule, and a flammable material analysis submodule. The visual analysis submodule is used to analyze whether there are flames or smoke in the target detection area and control the sprinkler system based on the analysis results. The air analysis submodule is used to analyze the smoke concentration in the environment and adjust the sprinkler system in combination with the visual analysis results. The flammable material analysis submodule is used to analyze flammable materials around the ignition point.

[0006] The sprinkler management module includes a spread trend analysis submodule, a hazard level analysis submodule, and a fire sprinkler control submodule. The spread trend analysis submodule is used to analyze the spread trend of the fire and adjust the sprinkler system according to the spread trend. The hazard level analysis submodule is used to analyze the hazard level of the fire and adjust the evacuation strategy for trapped personnel according to the analysis results. The fire sprinkler control submodule is used to control the spraying mode of the sprinkler equipment according to the fire spread trend and the hazard level of the fire.

[0007] According to the above technical solution, the data collection module includes a data input module, a vision module, and a sensor module. The data input module is used to input comprehensive information of personnel entering the building into the system. The vision module is used to collect visual images of the target detection area in real time. The sensor module is used to collect the temperature and smoke concentration of the surrounding environment in real time.

[0008] According to the above technical solution, the fire early warning module includes an environmental detection module, which is used to analyze the temperature, smoke concentration and whether there are flames in the target area, determine whether a fire has occurred based on the analysis results, and then pinpoint the fire location for spraying.

[0009] According to the above technical solution, the fire early warning module also includes a sprinkler management module, which is used to analyze the spread trend of the fire and the degree of danger of the fire, and adjust the operation mode of the sprinkler system according to the analysis results.

[0010] According to the above technical solution, the fire emergency module includes a communication module, a route planning module, and a personnel evacuation module. The communication module is used to reassure and guide the evacuation of trapped personnel. The route planning module is used to divert trapped personnel according to their location and plan evacuation routes. The personnel evacuation module is used to select evacuation strategies for trapped personnel according to the degree of fire danger.

[0011] According to the above technical solution, the operation method of the disaster emergency system includes the following steps:

[0012] Step S1: Through the data entry module, input comprehensive information of all personnel entering the building and labeled fire image data into the system; through the vision module, collect visual images of the target area in real time; and through the sensor module, collect comprehensive data of the surrounding environment in real time.

[0013] Step S2: After the data is entered into the system, the system starts the environmental detection module to analyze whether there is smoke or flames in the target area, analyzes the smoke concentration in the target area, and controls the sprinkler system to start based on the analysis results.

[0014] Step S3: After the sprinkler system is started, the system begins to analyze the flammable materials around the ignition point, the spread trend of the fire and the corresponding degree of fire danger, and further adjusts the operation mode of the sprinkler system based on the analysis results;

[0015] Step S4: Upon detection of a fire, the system activates the fire emergency module, begins real-time monitoring of the fire, adjusts personnel evacuation strategies based on the fire's development trend, and plans evacuation routes to evacuate personnel.

[0016] According to the above technical solution, step S2 further includes the following steps:

[0017] Step S21: Obtain labeled fire image data, identify applicable scene identifiers in the images, cluster the fire image data according to the applicable scene identifiers, retrieve the corresponding model algorithm from the database, use the fire image data in each cluster as sample data, train the smoke and fire identification model applicable to each scene according to the model algorithm corresponding to each applicable scene, fuse the trained smoke and fire identification models, obtain the visual image of the target detection area, identify the scene features of the target detection area, and adjust the running mode of the smoke and fire identification model according to the scene features.

[0018] Step S22: Obtain the identification result of the target detection area. When a flame is detected in the target area, anchor the flame's location in the image, establish a coordinate system, identify the flame's location coordinates and the sprinkler head coordinates, and calculate the distance r between the flame's location and the sprinkler head using a distance formula. If the distance between the flame's location and the sprinkler head is greater than a minimum threshold but less than a maximum threshold, calculate the opening angle of the sprinkler head using a formula. In the formula, θ represents the opening angle of the sprinkler head, H represents the width of the flame in the image, and α represents the influence coefficient of the flame width on the opening angle of the sprinkler head. If the distance between the flame position and the sprinkler head is less than the minimum threshold, the sprinkler head will be opened at full angle; otherwise, the sprinkler head will not be activated.

[0019] Step S23: When smoke is detected in the target area, the infrared temperature detection data of the target area is obtained, and the temperature change of the target area is identified. If the temperature change value of the target area is greater than the system set threshold, the target area is marked as having a fire and the sprinkler system is activated. Otherwise, the target area is marked as not having a fire and the sprinkler system is not activated.

[0020] According to the above technical solution, step S3 further includes the following steps:

[0021] Step S31: Obtain visual images of objects around the ignition point, establish a coordinate system, identify the coordinates of the ignition point and surrounding objects, calculate the distance L between the ignition point and surrounding objects using the distance formula, and when the distance between the ignition point and surrounding objects is less than the first threshold, start the sprinkler head to spray the target object.

[0022] Step S32: When the distance between the ignition point and surrounding objects is greater than the first threshold and less than the second threshold, the features of the visual images of the surrounding objects are identified. Based on the object features, the corresponding cargo information in the database is retrieved, the flammability coefficient μ and the corresponding value coefficient κ of the object are identified, and the fragility of the target object is calculated using a formula. In the formula, Q represents the vulnerability of the target item. If the vulnerability of the target item is less than the minimum threshold set by the system, the system retrieves the corresponding sprinkler influence coefficient β from the database based on the vulnerability of the target item, and calculates the distance L1 = β·L between the landing point of the extinguishing agent sprayed by the sprinkler system and the nozzle using the formula. In the formula, L1 represents the distance between the landing point of the extinguishing agent sprayed by the sprinkler system and the nozzle. Based on the distance between the landing point of the extinguishing agent sprayed by the sprinkler system and the nozzle, the corresponding water pressure and water pump power are retrieved from the database. Otherwise, the system starts the sprinkler system to spray at all angles.

[0023] Step S33: When the distance between the ignition point and surrounding objects is greater than the second threshold, the environmental data of the ignition point is obtained, the ventilation environment of the ignition point is further analyzed, and the spread trend of the fire and the degree of danger of the fire are predicted based on the analysis results.

[0024] According to the above technical solution, step S33 further includes the following steps:

[0025] Step S331: Retrieve the flame images marked by the smoke and fire recognition model, extract frames from the flame images according to the set frame rate period, compare the extracted flame images by overlapping, mark the parts that cannot overlap, identify the pixel positions of the marked parts in each flame image, extract the pixel position features, fuse the position features to obtain the fire spread trend, retrieve the vulnerability of the target items in the direction of the spread trend, and adjust the sprinkler system according to the vulnerability.

[0026] Step S332: Retrieve the wind direction and speed of the environment where the fire point is located, and retrieve the corresponding influence coefficient η on the fire hazard coefficient from the database based on the wind speed of the environment where the fire point is located.

[0027] Step S333: Identify the wind direction of the environment where the fire point is located, retrieve the building model where the fire point is located, establish a coordinate system, identify the opening and closing status of doors and windows in the building model, anchor the positions of open doors and windows in the building model, identify and mark the coordinates of open doors and windows, connect the coordinates of two adjacent open doors and windows, scan the intersection points of the connecting line segments in the building model and the building model, identify the number of intersection points, and retrieve the influence coefficient λ of the corresponding hazard coefficient from the database based on the number of intersection points;

[0028] Step S334: Obtain comprehensive information on flammable materials surrounding the target detection area, retrieve the corresponding hazard level T from the database based on the comprehensive information on flammable materials, and calculate the hazard coefficient P of the target detection area using the formula P = η·λ·T, where P represents the hazard coefficient of the target detection area.

[0029] According to the above technical solution, in step S4, the location information of the trapped personnel inside the building is obtained, all routes from the location of the trapped personnel to the exit are retrieved, the danger coefficient of each route is identified, if there is an area in the route with a danger coefficient greater than the threshold, the route is eliminated, otherwise the system continues to detect, anchors the intersection of each route, retrieves the corresponding number of people passing through the database according to the intersection location, if the current number of people is greater than the number of people passing through, retrieves all the trapped personnel who have passed through the current intersection, identifies the system's alternative routes, compares the alternative routes and selects the route with fewer people passing through, obtains the location of the trapped personnel in the building model in real time, and directs the trapped personnel to evacuate through the communication module.

[0030] Compared with existing technologies, the beneficial effects achieved by this invention are as follows: By calculating the distance between the nozzle and the flame and adjusting the opening angle of the nozzle according to the distance, this invention can accurately locate the fire area and thus accurately spray the extinguishing agent, thereby greatly improving the accuracy of the system. By verifying the temperature change of the target area when the system detects smoke, it can avoid the influence of smoke and smoke temperature on the sprinkler system, which would lead to poor spraying accuracy, thus greatly improving the accuracy of the system. At the same time, it can avoid damage to some items, which would increase losses, and further reduce losses. By analyzing the flammability and value coefficient of the target items and calculating the landing point of the extinguishing agent according to the distance between the target items and the ignition point, it can accurately control the water pressure and power of the water pump in the sprinkler system, which greatly improves the accuracy of the system. By predicting the fire spread trend and analyzing the fragility of items in the spread direction, it can adjust the operating power of the sprinkler equipment, which can accurately adjust the operating power of the sprinkler equipment, further improving the accuracy of the system. By locating the position of trapped personnel in real time, it can direct evacuation based on the position of trapped personnel, avoiding the situation where trapped personnel do not understand the building structure, which would lead to low evacuation efficiency, thus greatly improving evacuation efficiency. Attached Figure Description

[0031] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0032] Figure 1 This is a schematic diagram of the system module composition of the present invention. Detailed Implementation

[0033] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] Please see Figure 1 The present invention provides a technical solution: a disaster emergency system based on big data, comprising a data collection module, a fire early warning module, and a fire emergency module. The data collection module is used to collect visual data and comprehensive environmental data in the monitored target area in real time, and to input comprehensive information on all personnel entering the building into the system. The fire early warning module is used to detect whether a fire has occurred in the target area, further analyze the fire's spread trend and degree of danger, and adjust the operation mode of the sprinkler system based on the analysis results. The fire emergency module is used to obtain the location of trapped personnel in the building, divert the trapped personnel, and plan evacuation routes for each diversion group.

[0035] The environmental detection module includes a visual analysis submodule, an air analysis submodule, and a flammable material analysis submodule. The visual analysis submodule is used to analyze whether there are flames or smoke in the target detection area and control the sprinkler system based on the analysis results. The air analysis submodule is used to analyze the smoke concentration in the environment and adjust the sprinkler system in combination with the visual analysis results. The flammable material analysis submodule is used to analyze flammable materials around the ignition point.

[0036] The sprinkler management module includes a spread trend analysis submodule, a hazard level analysis submodule, and a fire sprinkler control submodule. The spread trend analysis submodule is used to analyze the spread trend of the fire and adjust the sprinkler system according to the spread trend. The hazard level analysis submodule is used to analyze the hazard level of the fire and adjust the evacuation strategy for trapped personnel according to the analysis results. The fire sprinkler control submodule is used to control the spraying mode of the sprinkler equipment according to the fire spread trend and the hazard level of the fire.

[0037] The data collection module includes a data entry module, a vision module, and a sensor module. The data entry module is used to input comprehensive information about people entering the building into the system. The vision module is used to collect visual images of the target detection area in real time. The sensor module is used to collect the temperature and smoke concentration of the surrounding environment in real time.

[0038] The fire early warning module includes an environmental monitoring module, which analyzes the temperature, smoke concentration, and presence of flames within the target area. Based on the analysis results, it determines whether a fire has occurred and then pinpoints the location of the fire for spraying.

[0039] The fire early warning module also includes a sprinkler management module, which is used to analyze the spread trend of the fire and the degree of danger of the fire, and adjust the operation mode of the sprinkler system based on the analysis results.

[0040] The fire emergency module includes a communication module, a route planning module, and a personnel evacuation module. The communication module is used to reassure and guide the evacuation of trapped personnel. The route planning module is used to divert trapped personnel according to their location and plan evacuation routes. The personnel evacuation module is used to select evacuation strategies for trapped personnel based on the degree of fire danger.

[0041] The operation of a disaster emergency response system includes the following steps:

[0042] Step S1: Through the data entry module, input comprehensive information of all personnel entering the building and labeled fire image data into the system; through the vision module, collect visual images of the target area in real time; and through the sensor module, collect comprehensive data of the surrounding environment in real time.

[0043] Step S2: After the data is entered into the system, the system starts the environmental detection module to analyze whether there is smoke or flames in the target area, analyzes the smoke concentration in the target area, and controls the sprinkler system to start based on the analysis results.

[0044] Step S3: After the sprinkler system is started, the system begins to analyze the flammable materials around the ignition point, the spread trend of the fire and the corresponding degree of fire danger, and further adjusts the operation mode of the sprinkler system based on the analysis results;

[0045] Step S4: Upon detection of a fire, the system activates the fire emergency module, begins real-time monitoring of the fire, adjusts personnel evacuation strategies based on the fire's development trend, and plans evacuation routes to evacuate personnel.

[0046] Step S2 further includes the following steps:

[0047] Step S21: Acquire labeled fire image data, identify applicable scene identifiers in the images, cluster the fire image data according to the applicable scene identifiers, and retrieve the corresponding model algorithm from the database. Use the fire image data in each cluster as sample data, train the smoke and fire identification model applicable to each scene according to the model algorithm corresponding to each applicable scene, fuse the trained smoke and fire identification models, acquire the visual image of the target detection area, identify the scene features of the target detection area, and adjust the operation mode of the smoke and fire identification model according to the scene features. This can make the operation mode of the smoke and fire identification model more in line with the application scene, thereby greatly increasing the accuracy of system detection.

[0048] Step S22: Obtain the identification result of the target detection area. When a flame is detected in the target area, anchor the flame's location in the image, establish a coordinate system, identify the flame's location coordinates and the sprinkler head coordinates, and calculate the distance r between the flame's location and the sprinkler head using a distance formula. If the distance between the flame's location and the sprinkler head is greater than a minimum threshold but less than a maximum threshold, calculate the opening angle of the sprinkler head using a formula. In the formula, θ represents the opening angle of the sprinkler head, H represents the width of the flame in the image, and α represents the influence coefficient of the flame width on the opening angle of the sprinkler head. If the distance between the flame position and the sprinkler head is less than the minimum threshold, the sprinkler head will be opened at full angle; otherwise, the sprinkler head will not be activated. By calculating the distance between the sprinkler head and the flame and adjusting the opening angle of the sprinkler head according to the distance, the fire area can be accurately located, and the extinguishing agent can be accurately sprayed, thereby greatly improving the accuracy of the system.

[0049] Step S23: When smoke is detected in the target area, infrared temperature detection data of the target area is acquired to identify temperature changes in the target area. If the temperature change value of the target area is greater than the system's set threshold, the target area is marked as having a fire, and the sprinkler system is activated. Otherwise, the target area is marked as not having a fire, and the sprinkler system is not activated. By verifying the temperature change of the target area when the system detects smoke, the sprinkler system can avoid being affected by smoke and smoke temperature, which could lead to poor sprinkler accuracy. This greatly improves the accuracy of the system and also prevents damage to some items, thus reducing losses.

[0050] Step S3 further includes the following steps:

[0051] Step S31: Obtain visual images of objects around the ignition point, establish a coordinate system, identify the coordinates of the ignition point and surrounding objects, calculate the distance L between the ignition point and surrounding objects using the distance formula, and when the distance between the ignition point and surrounding objects is less than the first threshold, start the sprinkler head to spray the target object.

[0052] Step S32: When the distance between the ignition point and surrounding objects is greater than the first threshold and less than the second threshold, the features of the visual images of the surrounding objects are identified. Based on the object features, the corresponding cargo information in the database is retrieved, the flammability coefficient μ and the corresponding value coefficient κ of the object are identified, and the fragility of the target object is calculated using a formula. In the formula, Q represents the fragility of the target item. If the fragility of the target item is less than the minimum threshold set by the system, the system retrieves the corresponding spraying influence coefficient β from the database based on the fragility of the target item. The system then calculates the distance L1 = β·L between the landing point of the extinguishing agent sprayed by the sprinkler system and the nozzle using the formula. In the formula, L1 represents the distance between the landing point of the extinguishing agent sprayed by the sprinkler system and the nozzle. Based on the distance between the landing point of the extinguishing agent sprayed by the sprinkler system and the nozzle, the system retrieves the corresponding water pressure and pump power from the database. Otherwise, the system starts the sprinkler system to spray at all angles. By analyzing the flammability coefficient and value coefficient of the target item, the landing point of the extinguishing agent is calculated based on the distance between the target item and the ignition point. This allows for accurate control of the water pressure and pump power in the sprinkler system, greatly improving the accuracy of the system.

[0053] Step S33: When the distance between the ignition point and surrounding objects is greater than the second threshold, the environmental data of the ignition point is obtained, the ventilation environment of the ignition point is further analyzed, and the spread trend of the fire and the degree of danger of the fire are predicted based on the analysis results.

[0054] Step S33 further includes the following steps:

[0055] Step S331: Retrieve the flame images marked by the smoke and fire recognition model, extract frames from the flame images according to the set frame rate period, compare the extracted flame images by overlapping, mark the parts that cannot overlap, identify the pixel positions of the marked parts in each flame image, extract the pixel position features, fuse the position features to obtain the fire spread trend, retrieve the vulnerability of the target items in the direction of the spread trend, adjust the sprinkler system according to the vulnerability, by predicting the fire spread trend and analyzing the vulnerability of items in the direction of spread, and then adjust the sprinkler equipment, which can accurately adjust the operating power of the sprinkler equipment and further improve the accuracy of the system;

[0056] Step S332: Retrieve the wind direction and speed of the environment where the fire point is located, and retrieve the corresponding influence coefficient η on the fire hazard coefficient from the database based on the wind speed of the environment where the fire point is located.

[0057] Step S333: Identify the wind direction of the environment where the fire point is located, retrieve the building model where the fire point is located, establish a coordinate system, identify the opening and closing status of doors and windows in the building model, anchor the positions of open doors and windows in the building model, identify and mark the coordinates of open doors and windows, connect the coordinates of two adjacent open doors and windows, scan the intersection points of the connecting line segments in the building model and the building model, identify the number of intersection points, and retrieve the influence coefficient λ of the corresponding hazard coefficient from the database based on the number of intersection points;

[0058] Step S334: Obtain comprehensive information on flammable materials surrounding the target detection area, retrieve the corresponding hazard level T from the database based on the comprehensive information on flammable materials, and calculate the hazard coefficient P of the target detection area using the formula P = η·λ·T, where P represents the hazard coefficient of the target detection area.

[0059] In step S4, the location information of those who have not escaped from the building is obtained, all routes from the location of the trapped personnel to the exit are retrieved, and the danger coefficient of each route is identified. If there is an area in the route with a danger coefficient greater than the threshold, the route is eliminated; otherwise, the system continues to detect. The intersections of each route are anchored, and the corresponding number of people passing through the database is retrieved based on the intersection location. If the current number of people is greater than the number of people passing through, all trapped personnel who have passed through the current intersection are retrieved, the system's alternative routes are identified, and the route with fewer people passing through is selected by comparing the alternative routes. The location of the trapped personnel in the building model is obtained in real time, and the trapped personnel are directed to evacuate through the communication module. By locating the trapped personnel in real time, the evacuation can be directed based on their location, avoiding the situation where the trapped personnel do not understand the building structure, which would lead to low evacuation efficiency, and thus greatly improving evacuation efficiency.

[0060] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0061] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A disaster emergency response system based on big data, comprising a data collection module, a fire early warning module, and a fire emergency response module, characterized in that: The data collection module is used to collect visual data and comprehensive environmental data in the monitored target area in real time, and to input comprehensive information of all personnel entering the building into the system. The fire early warning module is used to detect whether a fire has occurred in the target area, further analyze the spread trend and degree of danger of the fire, and adjust the operation mode of the sprinkler system according to the analysis results. The fire emergency module is used to obtain the location of trapped personnel in the building, divert the trapped personnel, and plan evacuation routes for each diversion group. The fire early warning module includes an environmental detection module, which is used to analyze the temperature, smoke concentration and whether there are flames in the target area, determine whether a fire has occurred based on the analysis results, and then pinpoint the fire location for spraying. The fire early warning module also includes a sprinkler management module, which is used to analyze the spread trend of the fire and the degree of danger of the fire, and adjust the operation mode of the sprinkler system according to the analysis results; The environmental detection module includes a visual analysis submodule, an air analysis submodule, and a flammable material analysis submodule. The visual analysis submodule is used to analyze whether there are flames or smoke in the target detection area and control the sprinkler system based on the analysis results. The air analysis submodule is used to analyze the smoke concentration in the environment and adjust the sprinkler system in combination with the visual analysis results. The flammable material analysis submodule is used to analyze flammable materials around the ignition point. The sprinkler management module includes a spread trend analysis submodule, a hazard level analysis submodule, and a fire sprinkler control submodule. The spread trend analysis submodule is used to analyze the spread trend of the fire and adjust the sprinkler system according to the spread trend. The hazard level analysis submodule is used to analyze the hazard level of the fire and adjust the evacuation strategy for trapped personnel according to the analysis results. The fire sprinkler control submodule is used to control the spraying mode of the sprinkler equipment according to the fire spread trend and the hazard level of the fire. The operation method of the disaster emergency response system includes the following steps: Step S1: Through the data entry module, input comprehensive information of all personnel entering the building and labeled fire image data into the system; through the vision module, collect visual images of the target area in real time; and through the sensor module, collect comprehensive data of the surrounding environment in real time. Step S2: After the data is entered into the system, the system starts the environmental detection module to analyze whether there is smoke or flames in the target area, analyzes the smoke concentration in the target area, and controls the sprinkler system to start based on the analysis results. Step S3: After the sprinkler system is started, the system begins to analyze the flammable materials around the ignition point, the spread trend of the fire and the corresponding degree of fire danger, and further adjusts the operation mode of the sprinkler system based on the analysis results; Step S4: Upon detection of a fire, the system activates the fire emergency module, begins real-time monitoring of the fire, adjusts personnel evacuation strategies based on the fire's development trend, and plans evacuation routes to evacuate personnel. Step S2 further includes the following steps: Step S21: Obtain labeled fire image data, identify applicable scene identifiers in the images, cluster the fire image data according to the applicable scene identifiers, retrieve the corresponding model algorithm from the database, use the fire image data in each cluster as sample data, train the smoke and fire identification model applicable to each scene according to the model algorithm corresponding to each applicable scene, fuse the trained smoke and fire identification models, obtain the visual image of the target detection area, identify the scene features of the target detection area, and adjust the running mode of the smoke and fire identification model according to the scene features. Step S22: Obtain the identification result of the target detection area. When a flame is detected in the target area, anchor the position of the flame in the image, establish a coordinate system, identify the coordinates of the flame position and the coordinates of the sprinkler head, and calculate the distance between the flame position and the sprinkler head using the distance formula. If the distance between the flame location and the sprinkler head is greater than the minimum threshold but less than the maximum threshold, then the opening angle of the sprinkler head in the sprinkler system is calculated using a formula. In the formula, Indicate the opening angle of the sprinkler head. This represents the width of the flame in the image. This represents the influence coefficient of the flame width on the opening angle of the sprinkler head. If the distance between the flame position and the sprinkler head is less than the minimum threshold, the sprinkler head will be opened at full angle. If the distance between the flame position and the sprinkler head is greater than the maximum threshold, the sprinkler head will not be activated. Step S23: When smoke is detected in the target area, infrared temperature detection data of the target area is obtained, and temperature changes in the target area are identified. If the temperature change value of the target area is greater than the system set threshold, the target area is marked as having a fire, and the sprinkler system is activated. If the temperature change value of the target area is not greater than the system set threshold, the target area is marked as not having a fire, and the sprinkler system is not activated. Step S3 further includes the following steps: Step S31: Obtain visual images of objects surrounding the ignition point, establish a coordinate system, identify the coordinates of the ignition point and surrounding objects, and calculate the distance between the ignition point and surrounding objects using a distance formula. When the distance between the ignition point and surrounding objects is less than the first threshold, the sprinkler head is activated to spray the target object. Step S32: When the distance between the ignition point and surrounding objects is greater than the first threshold and less than the second threshold, the characteristics of the visual images of the surrounding objects are identified, and the corresponding cargo information in the database is retrieved based on the object characteristics to identify the flammability coefficient of the objects. and the corresponding value coefficient The fragility of the target item is calculated using a formula. In the formula, The system identifies the vulnerability level of the target item. If the vulnerability level is less than the minimum threshold set by the system, the system retrieves the corresponding spraying influence coefficient from the database based on the vulnerability level of the target item. The distance between the landing point of the extinguishing agent sprayed by the sprinkler system and the sprinkler head is calculated using a formula. In the formula, This indicates the distance between the landing point of the extinguishing agent sprayed by the sprinkler system and the sprinkler head. Based on the distance between the landing point of the extinguishing agent sprayed by the sprinkler system and the sprinkler head, the corresponding water pressure and water pump power are retrieved from the database. If the fragility of the target item is not less than the minimum threshold set by the system, the system will start the sprinkler system to spray at all angles. Step S33: When the distance between the ignition point and surrounding objects is greater than the second threshold, the environmental data of the ignition point is obtained, the ventilation environment of the ignition point is further analyzed, and the spread trend of the fire and the degree of danger of the fire are predicted based on the analysis results.

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