Intelligent fire-fighting remote monitoring system

Abstract

The invention, which relates to the technical field of remote monitoring, discloses an intelligent fire-fighting remote monitoring system comprising a park environment information acquisition module, a park fire source monitoring module, a fire hazard analysis module, a fire-fighting water spraying processing module and a local database. Whether high-temperature objects appear in all areas of the park or not and whether pedestrians exist around the areas when the high-temperature objects appear or not are judged through intelligent monitoring and image analysis, corresponding operation is carried out, and therefore the areas possibly causing fire disasters can be found in time, and besides the air temperature, the air humidity and the temperature of the high-temperature objects, the fire disasters can be found in time. Meanwhile, the fallen leaf surface area and fallen leaf thickness of each high-temperature area of the park are analyzed, so that the occurrence rate of fire disasters is reduced, the safety of the park is improved, the wind direction and the wind speed value of the park are considered, fire hazards in the peripheral areas of each high-temperature area of the park can be found in time, and the safety of the park is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of remote monitoring technology, and in particular to a smart fire remote monitoring system. Background Art

[0002] In recent years, high temperature weather has become more and more frequent. Parks sometimes experience spontaneous combustion due to a large number of fallen leaves and hot and dry air. Due to the large flow of people in parks, some people may ignore park rules, bring fire sources without authorization and abandon them at will after use, making the park prone to fires. Parks are often large in scale, and it is difficult to detect these fire hazards in time by manual labor alone. Therefore, remote monitoring of fire protection in parks is very necessary.

[0003] Prior art, such as the invention patent application with announcement number: CN113299029B, discloses a smart fire remote monitoring system, which includes: the monitoring center dispatches firefighters and firefighting vehicles according to the fire scene situation transmitted by the remote alarm system, and formulates the route of the fire truck according to the road conditions, and the monitoring center transmits the route of the fire truck to the traffic management system; the traffic management system controls the status of traffic lights at each intersection on the route of the fire truck, ensuring that the fire truck always moves at a speed greater than or equal to 40km / h. This invention provides a basis for rapid deployment of emergency firefighting work through the cooperation of firefighting and traffic control, reducing property losses and loss of life.

[0004] The prior art, such as the invention patent application with announcement number: CN111800489B, discloses a smart fire remote monitoring system, which includes: an Internet of Things monitoring and management platform, which is used to receive fire data uploaded by several monitoring centers and display the real-time fire status of the fire area; a hidden danger analysis module, which is used to analyze the fire data of the Internet of Things monitoring and management platform and divide the fire protection level of the fire area; a monitoring center, a fire protection system distributed in each building, which is used to receive monitoring data and alarm data from the monitoring and alarm subsystem; a monitoring and alarm subsystem, which is used to collect and send fire monitoring data and alarm information to the monitoring center in real time; and a fire extinguishing module. This invention has the effect of improving the information interaction between the monitoring centers in the fire area.

[0005] From the above scheme, it can be seen that the current intelligent fire remote monitoring system lacks certain attention to the analysis of fallen leaves around high-temperature objects in various areas of the park. When abandoned high-temperature objects appear in the park, traditional analysis methods often only focus on air temperature and humidity. Whether high-temperature objects can cause fires, in addition to air temperature and humidity, the surface area and thickness of fallen leaves are also important factors. The grass itself continues to absorb underground moisture, so it is easy to remain moist and difficult to ignite, while the fallen leaves themselves are relatively dry and easy to ignite. When the fallen leaves have a large surface area and high thickness, they can still be ignited in some low-temperature and relatively humid air conditions, thereby causing a fire and reducing the safety of the park. At the same time, there is a lack of attention to the impact of fire sources on surrounding areas. The park itself is well ventilated. When a fire source appears, it is easy for sparks to be blown to the surrounding areas due to strong winds, causing fires in the surrounding areas and endangering the safety of pedestrians in the park. Summary of the invention

[0006] The purpose of the present invention is to provide a smart fire remote monitoring system that solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a smart fire remote monitoring system, including: a park environment information acquisition module, which is used to acquire infrared images and color images of each area belonging to the park in real time within the target monitoring time period, and acquire the geographical scope of each area belonging to the park.

[0008] The park fire source monitoring module is used to determine whether there are high-temperature objects in various areas of the park, thereby screening the high-temperature areas and normal areas of the park, and obtaining the high-temperature objects and their geographical locations in each high-temperature area of ​​the park, and determining whether there are pedestrians around the high-temperature objects in each high-temperature area of ​​the park, thereby screening the abandoned high-temperature objects in each high-temperature area of ​​the park.

[0009] The fire hazard analysis module is used to obtain the fallen leaf surface area, temperature, humidity, and thickness of fallen leaves at each monitoring point in each area of ​​the park, as well as the wind direction and wind speed values ​​of the park, and to screen the fire hazard areas and fire hazard affected areas of the park.

[0010] The fire sprinkler processing module is used to determine whether there are people around the fire sprinklers in the fire hazard areas and the fire hazard affected areas of the park before carrying out fire sprinkler operations. If there are people, a reminder will be broadcast; if there are no people, the water flow spraying directions and corresponding water pressure values ​​of the fire hazard areas of the park will be calculated, and the humidity increase values ​​of the fire hazard areas of the park and the humidity increase values ​​of the fire hazard affected areas will be evaluated, and corresponding fire-fighting operations will be carried out.

[0011] Preferably, the method of judging whether high-temperature objects appear in various areas of the park, thereby screening various high-temperature areas and normal areas of the park, is as follows: based on infrared images of various areas of the park, the temperature value of each pixel point of the infrared images of various areas of the park is obtained.

[0012] The high temperature value threshold is obtained from the local database, and the temperature value of each pixel point of the infrared image of each area of ​​the park is compared with the high temperature value threshold. If the temperature value of a pixel point of the infrared image of a certain area of ​​the park is higher than the high temperature value threshold, it is judged that a high-temperature object appears in the area of ​​the park, and the area is marked as a high temperature area. Otherwise, the area is marked as a normal area, thereby screening the high temperature areas and normal areas of the park.

[0013] Preferably, the specific judgment method for judging whether there are pedestrians around the high-temperature objects in each high-temperature area of ​​the park is as follows: based on the color images of each area of ​​the park, the color images of each high-temperature area of ​​the park are extracted, and through image recognition technology, the images of each pedestrian in the color images of each high-temperature area of ​​the park are obtained, and the geographical locations of each pedestrian in each high-temperature area of ​​the park are obtained.

[0014] According to the geographical location of each high-temperature object in each high-temperature area of ​​the park, the relative geographical location distance between each high-temperature object in each high-temperature area of ​​the park and the nearest pedestrian is obtained.

[0015] The distance that high-temperature objects are allowed to leave from pedestrians is obtained from the local database. If the relative geographical distance between a high-temperature object in a high-temperature area of ​​the park and the nearest pedestrian is greater than the distance that the high-temperature object is allowed to leave from pedestrians, it is judged that there are no pedestrians around the high-temperature object in the high-temperature area of ​​the park. Otherwise, it is judged that there are pedestrians around the high-temperature object in the high-temperature area of ​​the park.

[0016] Preferably, the fire hazard areas and fire hazard affected areas of the screening park are screened by a specific method of calculating the high-temperature combustion hazard coefficient of each high-temperature area of ​​the park based on the surface area of ​​fallen leaves, temperature, humidity, and thickness of fallen leaves at each monitoring point in each area of ​​the park.

[0017] The high-temperature combustion hazard coefficient threshold is obtained from the local database. If the high-temperature combustion hazard coefficient of a high-temperature area belonging to the park is greater than the high-temperature combustion hazard coefficient threshold, the high-temperature area is marked as a fire hazard area, thereby screening the fire hazard areas belonging to the park.

[0018] According to the wind direction and wind speed values ​​in the park, the high temperature affected areas of the park are screened.

[0019] Calculate the combustion spread coefficient of each high-temperature affected area in the park.

[0020] The combustion spread coefficient threshold is obtained from the local database. If the combustion spread coefficient of a high-temperature affected area of ​​the park is greater than the combustion spread coefficient threshold, the high-temperature affected area is marked as a fire hazard affected area, thereby screening the fire hazard affected areas of the park.

[0021] Preferably, the high temperature combustion hazard coefficient of each high temperature area of ​​the park is calculated by: extracting the surface area of ​​fallen leaves in each high temperature area of ​​the park according to the surface area of ​​fallen leaves, temperature, humidity and thickness of fallen leaves at each monitoring point. ,temperature ,humidity , the thickness of fallen leaves at each monitoring point , where x represents the number of each high temperature area, , y is a positive integer greater than 2, n represents the number of each monitoring point in the high temperature area, , m is a positive integer greater than 2.

[0022] The suitable fallen leaf surface area A and suitable fallen leaf thickness D in high temperature areas are obtained from the local database.

[0023] Calculate the leaf fall hazard coefficient for each high temperature area in the park , where e is a natural constant and m is the number of monitoring points.

[0024] Obtain the appropriate temperature and humidity values ​​corresponding to each defoliation hazard coefficient interval from the local database, and map the appropriate temperature values ​​of each high temperature area in the park. and suitable humidity value .

[0025] According to the temperature value of each pixel point of the infrared image of each area of ​​the park, the temperature value of each pixel point of the infrared image of each high temperature area of ​​the park is extracted, and the temperature value of each pixel point in the infrared image of each high temperature area of ​​the park that exceeds the high temperature value threshold is extracted. , where p is the number of each pixel, , q is a positive integer greater than 2.

[0026] According to the high temperature threshold H, calculate the high temperature combustion hazard coefficient of each high temperature area in the park , where q represents the number of pixels.

[0027] Preferably, the screening of the high temperature affected areas belonging to the park is carried out by a specific method of: according to the wind direction of the park, the blowing direction of each high temperature object in each high temperature area belonging to the park is obtained.

[0028] The blowing distance corresponding to each wind speed value interval is obtained from the local database, and according to the wind speed value of the park, the blowing distance of each high-temperature object in each high-temperature area of ​​the park is mapped.

[0029] The preset deflection angle of the blowing range of the high-temperature objects is obtained from the local database, the geographical location of each high-temperature object in each high-temperature area of ​​the park is taken as the origin, the blowing distance of each high-temperature object in each high-temperature area of ​​the park is taken as the radius, and the blowing direction of each high-temperature object in each high-temperature area of ​​the park is taken as the deflection direction, which is used as the direction vector of each high-temperature object in each high-temperature area of ​​the park when being blown, and the preset deflection angle of the blowing range of the high-temperature object is deflected to both sides, so as to obtain the fan-shaped range affected by each high-temperature object in each high-temperature area of ​​the park when being blown, and mark it as the high-temperature affected range of each high-temperature object in each high-temperature area of ​​the park.

[0030] Based on the geographical scope of each area to which the park belongs, the geographical scope of each normal area to which the park belongs is extracted.

[0031] If the geographical scope of a normal area belonging to a park contacts the high temperature affected range of a high temperature object in a high temperature area belonging to the park, the normal area is marked as a high temperature affected area, thereby screening the high temperature affected areas belonging to the park.

[0032] Preferably, the combustion spread coefficient of each high-temperature affected area of ​​the park is calculated by a specific method: based on the high-temperature spread range of each high-temperature object in each high-temperature area of ​​the park and based on the geographical range of each high-temperature affected area of ​​the park, the contact area between each high-temperature affected area of ​​the park and the high-temperature spread range is obtained.

[0033] Based on the method of calculating the high temperature combustion hazard coefficient of each high temperature area in the park, the high temperature combustion hazard coefficient of each high temperature affected area in the park is calculated in the same way. .

[0034] Obtain the overall area of ​​each high temperature affected area of ​​the park from the local database, and calculate the ratio of the contact area between each high temperature affected area of ​​the park and the high temperature affected range to the overall area , where i represents the number of each high temperature affected area, , j is a positive integer greater than 2.

[0035] Calculate the combustion spread coefficient of each high temperature affected area in the park .

[0036] Preferably, the specific detection method for judging whether there are people around the fire sprinklers in each fire hazard area and each fire hazard affected area of ​​the park is as follows: obtaining the geographical location of the fire sprinklers in each fire hazard area of ​​the park from the local database, extracting the geographical location of each pedestrian in each fire hazard area of ​​the park based on the geographical location of each pedestrian in each high temperature area of ​​the park, and calculating the relative geographical location distance between the fire sprinklers in each fire hazard area of ​​the park and the nearest pedestrian.

[0037] The safe fire fighting distance is obtained from the local database. If the relative geographical location distance between the fire sprinklers in a fire hazard area of ​​the park and the nearest pedestrian is less than the safe fire fighting distance, it is judged that there are people around the fire sprinklers in the fire hazard area of ​​the park. Otherwise, it is judged that there are no people around the fire sprinklers in the fire hazard area of ​​the park, thereby judging whether there are people around the fire sprinklers in each fire hazard area of ​​the park.

[0038] Similarly, determine whether there are people around the fire sprinklers in the fire hazard areas of the park.

[0039] Preferably, the specific calculation method for calculating the water flow injection directions and corresponding water pressure values ​​of each fire hazard area belonging to the park is as follows: based on the geographical locations of each high-temperature object in each high-temperature area belonging to the park, the geographical locations of each remaining high-temperature object in each fire hazard area belonging to the park are extracted; based on the geographical locations of the fire sprinklers in each fire hazard area belonging to the park, the fire sprinklers in each fire hazard area belonging to the park are used as the starting points of the direction vectors, and the geographical locations of each remaining high-temperature objects in each fire hazard area belonging to the park are used as the focus of the direction vectors, thereby obtaining the direction vectors of each fire hazard area belonging to the park, and using them as the water flow injection directions of each fire hazard area belonging to the park.

[0040] Obtain the relative geographical location distances between the fire sprinklers in each fire hazard area of ​​the park and each remaining high-temperature object, obtain the water pressure values ​​corresponding to each relative geographical location distance from the local database, map the required water pressure values ​​for the fire sprinklers in each fire hazard area of ​​the park to spray water to each remaining high-temperature object, and use them as the water pressure values ​​for each water flow injection direction in each fire hazard area of ​​the park.

[0041] Preferably, the humidity increase value of each fire hazard area belonging to the park and the humidity increase value of each fire hazard affected area are evaluated by a specific method: the humidity increase value corresponding to each high-temperature combustion hazard coefficient interval is obtained from a local database, and the humidity increase value of each fire hazard area belonging to the park is mapped according to the high-temperature combustion hazard coefficient of each fire hazard area belonging to the park.

[0042] The humidity increase value corresponding to each combustion spread coefficient interval is obtained from the local database, and the humidity increase value of each fire hazard affected area of ​​the park is mapped according to the combustion spread coefficient of each fire hazard affected area of ​​the park.

[0043] The beneficial effects of the present invention are as follows: (1) The park environment information acquisition module of the present invention acquires the park environment information, thereby facilitating subsequent analysis.

[0044] (2) The park fire source monitoring module of the present invention determines whether there are high-temperature objects in various areas of the park through intelligent monitoring and image analysis, and whether there are pedestrians around the high-temperature objects, and performs corresponding operations, so as to timely discover areas that may cause fire.

[0045] (3) The fire hazard analysis module of the present invention, in addition to analyzing the air temperature, air humidity and the temperature of the high-temperature object itself, also analyzes the surface area and thickness of fallen leaves in each high-temperature area of ​​the park, thereby reducing the incidence of the problem that fallen leaves can still be ignited in the high-temperature areas of the park even when the surface area of ​​the fallen leaves is large and the thickness is high, thereby reducing the incidence of fire and improving the safety of the park. In addition, the fire hazard analysis module of the present invention, taking into account the wind direction and wind speed of the park itself, analyzes the harm of sparks in each high-temperature area of ​​the park to the surrounding areas due to wind, so that when fire hazards occur in the surrounding areas of each high-temperature area of ​​the park, they can be discovered in time to ensure the safety of pedestrians in the park.

[0046] (4) The fire sprinkler treatment module of the present invention locates fires in various fire hazard areas of the park and humidifies the air in various fire hazard areas of the park and in areas affected by fire hazards. Since the park is often large in size, continuous humidification is often extremely wasteful of water resources. Therefore, humidification is only performed in time when fire hazards occur or are affected by fire hazards. While saving water resources, the possibility of fire is reduced, thereby ensuring the safety of the park. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 It is a schematic diagram of the system module of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] Reference Figure 1 As shown, the present invention provides a smart fire remote monitoring system, including: a park environment information acquisition module, a park fire source monitoring module, a fire hazard analysis module, a fire water spray treatment module and a local database.

[0051] It should be noted that the park environment information acquisition module is connected to the park fire source monitoring module, the park fire source monitoring module is connected to the fire hazard analysis module, the fire hazard analysis module is connected to the fire water spray treatment module, and the local database is connected to the park fire source monitoring module, the fire hazard analysis module, and the fire water spray treatment module.

[0052] It should also be noted that the local database is used to store the geographical scope of each area belonging to the park, the high temperature value threshold, the distance that high temperature objects are allowed to leave pedestrians, the allowed waiting time, the high temperature combustion hazard coefficient threshold, the combustion spread coefficient threshold, the suitable fallen leaf surface area in the high temperature area, the suitable fallen leaf thickness, the suitable temperature value and the suitable humidity value corresponding to each fallen leaf hazard coefficient interval, the blowing distance corresponding to each wind speed value interval, the deflection angle of the preset high temperature object blowing range, the overall area of ​​each high temperature spread area belonging to the park, the geographical location of the fire sprinklers in each fire hazard area belonging to the park, the safe fire fighting distance, the water pressure value corresponding to each relative geographical location distance, the humidity increase value corresponding to each high temperature combustion hazard coefficient interval, and the humidity increase value corresponding to each combustion spread coefficient interval. The park environment information acquisition module is used to acquire infrared images and color images of various areas of the park in real time within a target monitoring time period, and to acquire the geographical scope of various areas of the park.

[0053] In a specific embodiment, the infrared images and color images of each area of ​​the park are obtained by a specific method of obtaining the infrared images and color images through infrared cameras of each area of ​​the park.

[0054] It should be noted that the size and number of pixels of the infrared image and the color image are the same.

[0055] In a specific embodiment, the geographical scope of each area to which the park belongs is obtained by a specific method: obtaining the geographical scope of each area to which the park belongs from a local database.

[0056] The park environment information acquisition module of the present invention acquires the park environment information, thereby facilitating subsequent analysis.

[0057] The park fire source monitoring module is used to determine whether there are high-temperature objects in various areas of the park, thereby screening the high-temperature areas and normal areas of the park, and obtaining the high-temperature objects and their geographical locations in each high-temperature area of ​​the park, and determining whether there are pedestrians around the high-temperature objects in each high-temperature area of ​​the park, thereby screening the abandoned high-temperature objects in each high-temperature area of ​​the park.

[0058] In a specific embodiment, the high-temperature objects and their geographical locations in each high-temperature area of ​​the park are obtained by the following specific method: if the temperature value of a pixel point of the infrared image of a certain area of ​​the park is higher than the high-temperature temperature value threshold, the pixel point is marked as a high-temperature object pixel point; if a high-temperature object pixel point is not connected to other high-temperature object pixel points, the high-temperature object pixel point is marked as a high-temperature object; if multiple high-temperature object pixel points are connected to each other, these high-temperature object pixel points are integrated into one high-temperature object, thereby obtaining the high-temperature objects in each high-temperature area of ​​the park, and obtaining the geographical locations of the high-temperature objects in each high-temperature area of ​​the park through the existing technology of judging the actual geographical location through the image position.

[0059] In a specific embodiment of the present invention, the method of judging whether high-temperature objects appear in various areas of the park, thereby screening various high-temperature areas and normal areas of the park, is as follows: based on infrared images of various areas of the park, the temperature value of each pixel point of the infrared images of various areas of the park is obtained.

[0060] The high temperature value threshold is obtained from the local database, and the temperature value of each pixel point of the infrared image of each area of ​​the park is compared with the high temperature value threshold. If the temperature value of a pixel point of the infrared image of a certain area of ​​the park is higher than the high temperature value threshold, it is judged that a high-temperature object appears in the area of ​​the park, and the area is marked as a high temperature area. Otherwise, the area is marked as a normal area, thereby screening the high temperature areas and normal areas of the park.

[0061] In a specific embodiment of the present invention, the specific judgment method for judging whether there are pedestrians around the high-temperature objects in each high-temperature area of ​​the park is as follows: based on the color images of each area of ​​the park, the color images of each high-temperature area of ​​the park are extracted, and through image recognition technology, the images of each pedestrian in the color images of each high-temperature area of ​​the park are obtained, and the geographical locations of each pedestrian in each high-temperature area of ​​the park are obtained.

[0062] According to the geographical location of each high-temperature object in each high-temperature area of ​​the park, the relative geographical location distance between each high-temperature object in each high-temperature area of ​​the park and the nearest pedestrian is obtained.

[0063] In a specific embodiment, the images of each pedestrian in the color images of each high-temperature area of ​​the park are obtained by the following specific method: the existing technology of image recognition of pedestrians is relatively mature, and the images of each pedestrian in the color images of each high-temperature area of ​​the park can be obtained by the existing technology of image recognition of pedestrians.

[0064] In a specific embodiment, the geographic location of each pedestrian in each high-temperature area of ​​the park is obtained, and the specific acquisition method is: the existing technology of judging the actual geographic location through image position is relatively mature, and the geographic location of each pedestrian in each high-temperature area of ​​the park can be obtained by the existing technology of judging the actual geographic location through image position.

[0065] The distance that high-temperature objects are allowed to leave from pedestrians is obtained from the local database. If the relative geographical distance between a high-temperature object in a high-temperature area of ​​the park and the nearest pedestrian is greater than the distance that the high-temperature object is allowed to leave from pedestrians, it is judged that there are no pedestrians around the high-temperature object in the high-temperature area of ​​the park. Otherwise, it is judged that there are pedestrians around the high-temperature object in the high-temperature area of ​​the park.

[0066] It should be noted that the allowed waiting time is obtained from the local database. If there are pedestrians around a high-temperature object in a high-temperature area of ​​the park, and the time that the pedestrian and the high-temperature object in the high-temperature area of ​​the park exist at the same time is greater than the allowed waiting time, a reminder will be made through the broadcast in the high-temperature area of ​​the park, and a park safety manager will be dispatched to the high-temperature area of ​​the park to remind the pedestrian.

[0067] In a specific embodiment, the abandoned high-temperature objects in each high-temperature area of ​​the park are screened by a specific screening method: if there are no pedestrians around a high-temperature object in a high-temperature area of ​​the park, the high-temperature object is marked as an abandoned high-temperature object, thereby screening the abandoned high-temperature objects in each high-temperature area of ​​the park.

[0068] The park fire source monitoring module of the present invention determines whether high-temperature objects appear in various areas of the park through intelligent monitoring and image analysis, and whether there are pedestrians around high-temperature objects when they appear, and performs corresponding operations, thereby timely discovering areas that may cause fires.

[0069] The fire hazard analysis module is used to obtain the fallen leaf surface area, temperature, humidity, and fallen leaf thickness of each monitoring point in each area of ​​the park, and obtain the wind direction and wind speed values ​​of the park, and screen the fire hazard areas and fire hazard affected areas of the park.

[0070] In a specific embodiment, the fallen leaf surface area, temperature, humidity, and fallen leaf thickness of each monitoring point in each area of ​​the park are obtained, and the wind direction and wind speed values ​​of the park are obtained. The specific acquisition method is: the fallen leaf surface area of ​​each area of ​​the park and the fallen leaf thickness of each monitoring point are obtained by using a spectroscopic leaf area index sensor mounted on a drone, the temperature of each area of ​​the park is obtained by using a temperature sensor in each area of ​​the park, the humidity of each area of ​​the park is obtained by using a humidity sensor in each area of ​​the park, and the wind direction and wind speed values ​​of the park are obtained by using a wind speed and direction sensor.

[0071] It should be noted that the drone obtains the surface area of ​​fallen leaves in each area of ​​the park and the thickness of fallen leaves at each monitoring point at regular intervals, such as at 0:00, 6:00, 12:00, and 18:00 respectively, and the data obtained at 6:00 is used as reference data between 6:00-12:00.

[0072] In a specific embodiment of the present invention, the fire hazard areas and fire hazard affected areas of the park are screened, and the specific screening method is: based on the surface area of ​​fallen leaves in each area of ​​the park, temperature, humidity, and thickness of fallen leaves at each monitoring point, the high-temperature combustion hazard coefficient of each high-temperature area of ​​the park is calculated.

[0073] The high-temperature combustion hazard coefficient threshold is obtained from the local database. If the high-temperature combustion hazard coefficient of a high-temperature area belonging to the park is greater than the high-temperature combustion hazard coefficient threshold, the high-temperature area is marked as a fire hazard area, thereby screening the fire hazard areas belonging to the park.

[0074] According to the wind direction and wind speed values ​​in the park, the high temperature affected areas of the park are screened.

[0075] Calculate the combustion spread coefficient of each high-temperature affected area in the park.

[0076] The combustion spread coefficient threshold is obtained from the local database. If the combustion spread coefficient of a high-temperature affected area of ​​the park is greater than the combustion spread coefficient threshold, the high-temperature affected area is marked as a fire hazard affected area, thereby screening the fire hazard affected areas of the park.

[0077] In a specific embodiment of the present invention, the high temperature combustion hazard coefficient of each high temperature area of ​​the park is calculated by: extracting the surface area of ​​fallen leaves in each high temperature area of ​​the park according to the surface area of ​​fallen leaves, temperature, humidity, and thickness of fallen leaves at each monitoring point. ,temperature ,humidity , the thickness of fallen leaves at each monitoring point , where x represents the number of each high temperature area, , y is a positive integer greater than 2, n represents the number of each monitoring point in the high temperature area, , m is a positive integer greater than 2.

[0078] The suitable fallen leaf surface area A and suitable fallen leaf thickness D in high temperature areas are obtained from the local database.

[0079] Calculate the leaf fall hazard coefficient for each high temperature area in the park , where e is a natural constant and m is the number of monitoring points.

[0080] Obtain the appropriate temperature and humidity values ​​corresponding to each defoliation hazard coefficient interval from the local database, and map the appropriate temperature values ​​of each high temperature area in the park. and suitable humidity value .

[0081] According to the temperature value of each pixel point of the infrared image of each area of ​​the park, the temperature value of each pixel point of the infrared image of each high temperature area of ​​the park is extracted, and the temperature value of each pixel point in the infrared image of each high temperature area of ​​the park that exceeds the high temperature value threshold is extracted. , where p is the number of each pixel, , q is a positive integer greater than 2.

[0082] According to the high temperature threshold H, calculate the high temperature combustion hazard coefficient of each high temperature area in the park , where q represents the number of pixels.

[0083] In a specific embodiment of the present invention, the high temperature affected areas of the park are screened by a specific screening method: based on the wind direction of the park, the blowing direction of each high temperature object in each high temperature area of ​​the park is obtained.

[0084] The blowing distance corresponding to each wind speed value interval is obtained from the local database, and according to the wind speed value of the park, the blowing distance of each high-temperature object in each high-temperature area of ​​the park is mapped.

[0085] The preset deflection angle of the blowing range of the high-temperature objects is obtained from the local database, the geographical location of each high-temperature object in each high-temperature area of ​​the park is taken as the origin, the blowing distance of each high-temperature object in each high-temperature area of ​​the park is taken as the radius, and the blowing direction of each high-temperature object in each high-temperature area of ​​the park is taken as the deflection direction, which is used as the direction vector of each high-temperature object in each high-temperature area of ​​the park when being blown, and the preset deflection angle of the blowing range of the high-temperature object is deflected to both sides, so as to obtain the fan-shaped range affected by each high-temperature object in each high-temperature area of ​​the park when being blown, and mark it as the high-temperature affected range of each high-temperature object in each high-temperature area of ​​the park.

[0086] Based on the geographical scope of each area to which the park belongs, the geographical scope of each normal area to which the park belongs is extracted.

[0087] If the geographical scope of a normal area belonging to a park contacts the high temperature affected range of a high temperature object in a high temperature area belonging to the park, the normal area is marked as a high temperature affected area, thereby screening the high temperature affected areas belonging to the park.

[0088] In a specific embodiment of the present invention, the combustion spread coefficient of each high-temperature affected area of ​​the park is calculated by the following specific calculation method: based on the high-temperature spread range of each high-temperature object in each high-temperature area of ​​the park and based on the geographical range of each high-temperature affected area of ​​the park, the contact area between each high-temperature affected area of ​​the park and the high-temperature spread range is obtained.

[0089] Based on the method of calculating the high temperature combustion hazard coefficient of each high temperature area in the park, the high temperature combustion hazard coefficient of each high temperature affected area in the park is calculated in the same way. .

[0090] Obtain the overall area of ​​each high temperature affected area of ​​the park from the local database, and calculate the ratio of the contact area between each high temperature affected area of ​​the park and the high temperature affected range to the overall area , where i represents the number of each high temperature affected area, , j is a positive integer greater than 2.

[0091] Calculate the combustion spread coefficient of each high temperature affected area in the park .

[0092] The fire hazard analysis module of the present invention, in addition to analyzing the air temperature, air humidity and the temperature of the high-temperature object itself, also analyzes the surface area and thickness of fallen leaves in each high-temperature area of ​​the park, thereby reducing the incidence of the problem that fallen leaves can be ignited even when the surface area and thickness of the fallen leaves are large in each high-temperature area of ​​the park, thereby reducing the incidence of fire and improving the safety of the park. In addition, the module takes into account the wind direction and wind speed of the park itself, and analyzes the harm of sparks in each high-temperature area of ​​the park to the surrounding areas due to wind, so that fire hazards in the surrounding areas of each high-temperature area of ​​the park can be discovered in time to ensure the safety of pedestrians in the park.

[0093] The fire water spray processing module is used to determine whether there are people around the fire sprinklers in each fire hazard area of ​​the park and each fire hazard affected area before fire water spraying. If there are people, a reminder will be broadcasted; if there are no people, the water flow spray directions and corresponding water pressure values ​​of each fire hazard area of ​​the park are calculated, and the humidity increase values ​​of each fire hazard area of ​​the park and the humidity increase values ​​of each fire hazard affected area are evaluated, and corresponding fire fighting operations are performed.

[0094] In a specific embodiment of the present invention, the specific detection method for judging whether there are people around the fire sprinklers in each fire hazard area and each fire hazard affected area of ​​the park is as follows: obtaining the geographical location of the fire sprinklers in each fire hazard area of ​​the park from a local database, extracting the geographical location of each pedestrian in each fire hazard area of ​​the park based on the geographical location of each pedestrian in each high temperature area of ​​the park, and calculating the relative geographical location distance between the fire sprinklers in each fire hazard area of ​​the park and the nearest pedestrian.

[0095] The safe fire fighting distance is obtained from the local database. If the relative geographical location distance between the fire sprinklers in a fire hazard area of ​​the park and the nearest pedestrian is less than the safe fire fighting distance, it is judged that there are people around the fire sprinklers in the fire hazard area of ​​the park. Otherwise, it is judged that there are no people around the fire sprinklers in the fire hazard area of ​​the park, thereby judging whether there are people around the fire sprinklers in each fire hazard area of ​​the park.

[0096] Similarly, determine whether there are people around the fire sprinklers in the fire hazard areas of the park.

[0097] In a specific embodiment of the present invention, the water flow injection directions and corresponding water pressure values ​​of each fire hazard area belonging to the park are calculated by the following specific calculation method: based on the geographical locations of each high-temperature object in each high-temperature area belonging to the park, the geographical locations of each remaining high-temperature object in each fire hazard area belonging to the park are extracted; based on the geographical locations of the fire sprinklers in each fire hazard area belonging to the park, the fire sprinklers in each fire hazard area belonging to the park are used as the starting point of the direction vector, and the geographical locations of each remaining high-temperature object in each fire hazard area belonging to the park are used as the focus of the direction vector, thereby obtaining the direction vectors of each fire hazard area belonging to the park, and using them as the water flow injection directions of each fire hazard area belonging to the park.

[0098] Obtain the relative geographical location distances between the fire sprinklers in each fire hazard area of ​​the park and each remaining high-temperature object, obtain the water pressure values ​​corresponding to each relative geographical location distance from the local database, map the required water pressure values ​​for the fire sprinklers in each fire hazard area of ​​the park to spray water to each remaining high-temperature object, and use them as the water pressure values ​​for each water flow injection direction in each fire hazard area of ​​the park.

[0099] In a specific embodiment of the present invention, the humidity increase value of each fire hazard area belonging to the park and the humidity increase value of each fire hazard affected area are evaluated by a specific evaluation method: the humidity increase value corresponding to each high-temperature combustion hazard coefficient interval is obtained from a local database, and the humidity increase value of each fire hazard area belonging to the park is mapped according to the high-temperature combustion hazard coefficient of each fire hazard area belonging to the park.

[0100] The humidity increase value corresponding to each combustion spread coefficient interval is obtained from the local database, and the humidity increase value of each fire hazard affected area of ​​the park is mapped according to the combustion spread coefficient of each fire hazard affected area of ​​the park.

[0101] In a specific embodiment, the corresponding fire-fighting operation is performed as follows: the water jet directions of each fire hazard area in the park and their corresponding water pressure values, humidity increase values ​​and humidity increase values ​​of each fire hazard affected area are sent to the fire terminal, and the fire terminal performs fire-fighting water jets on each fire hazard area in the park, and then performs humidity increase operations on each fire hazard area in the park and each fire hazard affected area.

[0102] The fire sprinkler treatment module of the present invention locates fires in various fire hazard areas of the park and humidifies the air in various fire hazard areas of the park and areas affected by fire hazards. Since the park is often large in scope, considering that continuous humidification is often extremely wasteful of water resources, humidification is only performed in time when fire hazards occur or are affected by fire hazards. While saving water resources, the possibility of fire is reduced, thereby ensuring the safety of the park.

[0103] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A smart fire remote monitoring system, characterized in that: include: The park environment information acquisition module is used to obtain infrared images and color images of each area of ​​the park in real time during the target monitoring period, and obtain the geographical scope of each area of ​​the park; The park fire source monitoring module is used to determine whether there are high-temperature objects in each area of ​​the park, so as to screen the high-temperature areas and normal areas of the park, obtain the high-temperature objects and their geographical locations in each high-temperature area of ​​the park, and determine whether there are pedestrians around the high-temperature objects in each high-temperature area of ​​the park, so as to screen the abandoned high-temperature objects in each high-temperature area of ​​the park; The fire hazard analysis module is used to obtain the fallen leaf surface area, temperature, humidity, and thickness of fallen leaves at each monitoring point in each area of ​​the park, and obtain the wind direction and wind speed values ​​of the park, and screen the fire hazard areas and the areas affected by each fire hazard in the park; The fire sprinkler processing module is used to determine whether there are people around the fire sprinklers in the fire hazard areas and the fire hazard affected areas of the park before carrying out fire sprinkler operations. If there are people, a reminder will be broadcast; if there are no people, the water flow spraying directions and corresponding water pressure values ​​of the fire hazard areas of the park will be calculated, and the humidity increase values ​​of the fire hazard areas of the park and the humidity increase values ​​of the fire hazard affected areas will be evaluated, and corresponding fire-fighting operations will be carried out.

2. According to claim 1, a smart fire remote monitoring system is characterized in that: The specific method of judging whether there are high-temperature objects in each area of ​​the park, thereby screening each high-temperature area and each normal area of ​​the park, is as follows: According to the infrared images of each area of ​​the park, the temperature value of each pixel point of the infrared images of each area of ​​the park is obtained; The high temperature value threshold is obtained from the local database, and the temperature value of each pixel point of the infrared image of each area of ​​the park is compared with the high temperature value threshold. If the temperature value of a pixel point of the infrared image of a certain area of ​​the park is higher than the high temperature value threshold, it is judged that a high-temperature object appears in the area of ​​the park, and the area is marked as a high temperature area. Otherwise, the area is marked as a normal area, thereby screening the high temperature areas and normal areas of the park.

3. According to claim 2, a smart fire remote monitoring system is characterized in that: The specific method for judging whether there are pedestrians around each high-temperature object in each high-temperature area of ​​the park is as follows: According to the color images of each area of ​​the park, the color images of each high temperature area of ​​the park are extracted, and the images of each pedestrian in the color images of each high temperature area of ​​the park are obtained through image recognition technology, and the geographical locations of each pedestrian in each high temperature area of ​​the park are obtained; According to the geographical location of each high temperature object in each high temperature area of ​​the park, the relative geographical location distance between each high temperature object in each high temperature area of ​​the park and the nearest pedestrian is obtained; The distance that high-temperature objects are allowed to leave from pedestrians is obtained from the local database. If the relative geographical distance between a high-temperature object in a high-temperature area of ​​the park and the nearest pedestrian is greater than the distance that the high-temperature object is allowed to leave from pedestrians, it is judged that there are no pedestrians around the high-temperature object in the high-temperature area of ​​the park. Otherwise, it is judged that there are pedestrians around the high-temperature object in the high-temperature area of ​​the park.

4. According to claim 2, a smart fire remote monitoring system is characterized in that: The specific screening method for screening the fire hazard areas and the fire hazard affected areas of the park is as follows: According to the fallen leaf surface area, temperature, humidity and fallen leaf thickness of each monitoring point in each area of ​​the park, the high temperature combustion hazard coefficient of each high temperature area of ​​the park is calculated; A high-temperature combustion hazard coefficient threshold is obtained from a local database. If the high-temperature combustion hazard coefficient of a certain high-temperature area of ​​the park is greater than the high-temperature combustion hazard coefficient threshold, the high-temperature area is marked as a fire hazard area, thereby screening various fire hazard areas of the park; According to the wind direction and wind speed of the park, screen the high temperature affected areas of the park; Calculate the combustion spread coefficient of each high temperature affected area of ​​the park; The combustion spread coefficient threshold is obtained from the local database. If the combustion spread coefficient of a high-temperature affected area of ​​the park is greater than the combustion spread coefficient threshold, the high-temperature affected area is marked as a fire hazard affected area, thereby screening the fire hazard affected areas of the park.

5. The intelligent fire remote monitoring system according to claim 4 is characterized in that: The specific calculation method for calculating the high temperature combustion hazard coefficient of each high temperature area of ​​the park is as follows: According to the fallen leaf surface area, temperature, humidity and fallen leaf thickness of each monitoring point in each area of ​​the park, the fallen leaf surface area of ​​each high temperature area in the park is extracted. ,temperature ,humidity , the thickness of fallen leaves at each monitoring point , where x represents the number of each high temperature area, , y is a positive integer greater than 2, n represents the number of each monitoring point in the high temperature area, , m is a positive integer greater than 2; Obtain the suitable fallen leaf surface area A and suitable fallen leaf thickness D in the high temperature area from the local database; Calculate the leaf fall hazard coefficient for each high temperature area in the park , where e represents the natural constant and m is the number of monitoring points; Obtain the appropriate temperature and humidity values ​​corresponding to each defoliation hazard coefficient interval from the local database, and map the appropriate temperature values ​​of each high temperature area in the park. and suitable humidity value ; According to the temperature value of each pixel point of the infrared image of each area of ​​the park, the temperature value of each pixel point of the infrared image of each high temperature area of ​​the park is extracted, and the temperature value of each pixel point in the infrared image of each high temperature area of ​​the park that exceeds the high temperature value threshold is extracted. , where p is the number of each pixel, , q is a positive integer greater than 2; According to the high temperature threshold H, calculate the high temperature combustion hazard coefficient of each high temperature area in the park , where q represents the number of pixels.

6. The intelligent fire remote monitoring system according to claim 4 is characterized in that: The specific screening method for the high temperature affected areas of the screening park is as follows: According to the wind direction of the park, the blowing direction of each high-temperature object in each high-temperature area of ​​the park can be obtained; Obtain the blowing distance corresponding to each wind speed value interval from the local database, and map the blowing distance of each high-temperature object in each high-temperature area of ​​the park according to the wind speed value of the park; Obtain the preset deflection angle of the blowing range of the high-temperature object from the local database, take the geographical location of each high-temperature object in each high-temperature area of ​​the park as the origin, take the blowing distance of each high-temperature object in each high-temperature area of ​​the park as the radius, and take the blowing direction of each high-temperature object in each high-temperature area of ​​the park as the deflection direction as the direction vector of each high-temperature object in each high-temperature area of ​​the park when being blown, and deflect the preset deflection angle of the blowing range of the high-temperature object to both sides, so as to obtain the fan-shaped range affected by each high-temperature object in each high-temperature area of ​​the park when being blown, and mark it as the high-temperature affected range of each high-temperature object in each high-temperature area of ​​the park; According to the geographical scope of each area to which the park belongs, the geographical scope of each normal area to which the park belongs is extracted; If the geographical scope of a normal area belonging to a park contacts the high temperature affected range of a high temperature object in a high temperature area belonging to the park, the normal area is marked as a high temperature affected area, thereby screening the high temperature affected areas belonging to the park.

7. The intelligent fire remote monitoring system according to claim 5 is characterized in that: The specific calculation method of the combustion spread coefficient of each high temperature spread area of ​​the park is as follows: According to the high temperature spreading range of each high temperature object in each high temperature area of ​​the park and according to the geographical range of each high temperature spreading area of ​​the park, the contact area between each high temperature spreading area of ​​the park and the high temperature spreading range is obtained; Based on the method of calculating the high temperature combustion hazard coefficient of each high temperature area in the park, the high temperature combustion hazard coefficient of each high temperature affected area in the park is calculated in the same way. ; Obtain the overall area of ​​each high temperature affected area of ​​the park from the local database, and calculate the ratio of the contact area between each high temperature affected area of ​​the park and the high temperature affected range to the overall area , where i represents the number of each high temperature affected area, , j is a positive integer greater than 2; Calculate the combustion spread coefficient of each high temperature affected area in the park .

8. The intelligent fire remote monitoring system according to claim 3 is characterized in that: The specific detection method for judging whether there are people around the fire sprinklers in each fire hazard area and each fire hazard affected area of ​​the park is as follows: Obtain the geographical location of the fire sprinklers in each fire hazard area of ​​the park from the local database, extract the geographical location of each pedestrian in each high temperature area of ​​the park based on the geographical location of each pedestrian in each fire hazard area of ​​the park, and calculate the relative geographical location distance between the fire sprinklers in each fire hazard area of ​​the park and the nearest pedestrian; The safe fire fighting distance is obtained from the local database. If the relative geographical location distance between the fire sprinkler in a fire hazard area of ​​the park and the nearest pedestrian is less than the safe fire fighting distance, it is judged that there are people around the fire sprinkler in the fire hazard area of ​​the park. Otherwise, it is judged that there are no people around the fire sprinkler in the fire hazard area of ​​the park, thereby judging whether there are people around the fire sprinklers in each fire hazard area of ​​the park; Similarly, determine whether there are people around the fire sprinklers in the fire hazard areas of the park.

9. The intelligent fire remote monitoring system according to claim 8, characterized in that: The specific calculation method for calculating the water jet directions and corresponding water pressure values ​​of each fire hazard area in the park is as follows: According to the geographical location of each high-temperature object in each high-temperature area of ​​the park, the geographical location of each remaining high-temperature object in each fire hazard area of ​​the park is extracted, and according to the geographical location of the fire sprinkler in each fire hazard area of ​​the park, the fire sprinkler in each fire hazard area of ​​the park is used as the starting point of the direction vector, and the geographical location of each remaining high-temperature object in each fire hazard area of ​​the park is used as the focus of the direction vector, so as to obtain each direction vector of each fire hazard area of ​​the park, and use it as each water flow injection direction of each fire hazard area of ​​the park; Obtain the relative geographical location distances between the fire sprinklers in each fire hazard area of ​​the park and each remaining high-temperature object, obtain the water pressure values ​​corresponding to each relative geographical location distance from the local database, map the required water pressure values ​​for the fire sprinklers in each fire hazard area of ​​the park to spray water to each remaining high-temperature object, and use them as the water pressure values ​​for each water flow injection direction in each fire hazard area of ​​the park.

10. The intelligent fire remote monitoring system according to claim 4, characterized in that: The specific evaluation method for evaluating the humidity increase value of each fire hazard area in the park and the humidity increase value of each fire hazard affected area is as follows: Obtain the humidity increase value corresponding to each high-temperature combustion hazard coefficient interval from the local database, and map the humidity increase value of each fire hazard area in the park according to the high-temperature combustion hazard coefficient of each fire hazard area in the park; The humidity increase value corresponding to each combustion spread coefficient interval is obtained from the local database, and the humidity increase value of each fire hazard affected area of ​​the park is mapped according to the combustion spread coefficient of each fire hazard affected area of ​​the park.

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