Monitoring system and method for emergency water supply

Abstract

The invention discloses a monitoring system and method for emergency water supply, and relates to the technical field of data management, and the method comprises the steps: building a three-dimensional model of an emergency region, obtaining feature regions in the emergency region, and calculating the water supply deviation degree of each feature region; establishing a plane coordinate system of the emergency area, and obtaining a feature degree corresponding to each coordinate in the plane coordinate system according to the position and the water supply deviation degree of each feature area; obtaining the number of water outlets of the fire-fighting facility to obtain a plurality of initial areas in the emergency area; and setting the number of cycles of the initial areas, calculating the iteration ratio of each initial area to obtain a plurality of target points, and deploying the water outlets at the target points. By combining the actual situation of an emergency area, the position of the water outlet of the fire-fighting facility is reasonably arranged, water resources are effectively distributed, a fire brigade can timely and effectively handle an accident when the accident occurs, and the fire-fighting efficiency is improved when the emergency situation is dealt with.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and specifically to a monitoring system and method for emergency water supply. Background Art

[0002] With the acceleration of the modernization process of cities, fire fighting and rescue have become a crucial part of the urban safety guarantee system. In case of a fire emergency rescue accident, fire fighters need to respond quickly and take professional actions to ensure the safety of people's lives and property. Fire hydrants are a kind of fixed fire fighting facilities. By setting fire hydrants outdoors, emergency water sources can be provided for the fire site to achieve emergency water supply and support fire fighters to extinguish fires effectively;

[0003] During the fire fighting and rescue process, every minute and every second is prime time. At present, the distribution of the outlet positions of outdoor fire hydrants is unreasonable and not set in combination with the actual situation of the emergency area, which will lead to the situation of untimely water intake during the fire fighting and rescue process, unable to effectively allocate water resources, resulting in deficiencies in the formulation and implementation of the water supply strategy, unable to achieve accurate and efficient emergency fire fighting and rescue, and delaying the rescue time of fire fighters. Summary of the Invention

[0004] The purpose of the present invention is to provide a monitoring system and method for emergency water supply to solve the problems raised in the prior art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] A monitoring method for emergency water supply includes the following steps:

[0007] Step S100: Establish a three-dimensional model of the emergency area, where the emergency area is the area that needs to install fire fighting facilities for emergency water supply; obtain the characteristic areas in the emergency area, extract the target moving objects in the characteristic areas according to the moving conditions of each moving object in the historical monitoring video corresponding to the characteristic areas; calculate the water supply deviation degree corresponding to each characteristic area according to the number of target moving objects in each characteristic area;

[0008] Step S200: Take a panoramic image of the emergency area and establish a plane coordinate system of the emergency area. Obtain the characteristic degree corresponding to each coordinate in the plane coordinate system according to the location and water supply deviation degree of each characteristic area in the emergency area;

[0009] Step S300: Obtain the number of outlets of the currently planned fire fighting facilities, and obtain several initial areas in the emergency area according to the area occupied by the emergency area in the plane coordinate system;

[0010] Step S400: Set the number of cycles for the initial area. Calculate the iteration ratio for each initial area according to the feature degree of each coordinate in the initial area. Obtain a number of target areas based on the iteration ratio and the number of cycles, and obtain the target points corresponding to each target area. Then, deploy the water outlet of the fire-fighting facility at the position of the target points.

[0011] Further, step S100 includes:

[0012] Step S110: Obtain the residential areas in the emergency area as feature areas. Divide the unique entrance and exit positions of each feature area in the 3D model, and extract the historical surveillance videos of the monitored entrance and exit positions. Capture the area corresponding to the entrance and exit position P of a certain feature area H in the surveillance video as the first area R P , and according to the object detection technology, capture the rectangular area corresponding to a certain moving object M in the surveillance video as the second area R M ;

[0013] Step S120: Obtain the moment T1 when the moving object M enters the feature area H through the entrance and exit position P. The moment T1 is the moment when area R P and area R M first intersect during the process of entering the feature area H. Take the moment when the moving object M first leaves the feature area H through the entrance and exit position P after the moment T1 as T2. The moment T2 is the moment when area R P and area R M first intersect during the process of leaving the feature area H;

[0014] Preset the target time period as F. If the entire target time period F is included between the moment T1 and the moment T2, then regard the moving object M as the target moving object of the feature area H, and thus obtain all the target moving objects in each feature area;

[0015] Step S130: According to the number of target moving objects in each feature area, add up all the numbers to obtain the total number Q. Divide the number of each target moving object by the total number Q, and take the obtained result as the water supply bias degree corresponding to each feature area.

[0016] It should be noted that during the process of entering the feature area H, area R P and area R MThey will intersect first, and then the intersecting area will first increase and then decrease, and then gradually become 0. The process of determining whether they intersect can be achieved in the prior art and will not be elaborated here. The larger the number of target moving objects, the more people there are in the feature area, indicating that the probability of a fire accident in this feature area is higher than that in an area with fewer people. Therefore, the degree of bias towards fire water supply should be greater. The target moving objects are determined based on the permanent residents in the feature area. Generally speaking, people go out early and return late, and they rest at night. Those who conform to the normal work and rest logic are used as the target moving objects in this feature area.

[0017] Further, step S200 includes:

[0018] Step S210: Obtain the unique entrance and exit coordinates corresponding to the entrance and exit positions of each feature area in the plane coordinate system, and use the degree of water supply bias as the feature degree of the corresponding entrance and exit coordinates;

[0019] Step S220: Set the total number of entrance and exit coordinates as N, and randomly sort the entrance and exit coordinates; Obtain a certain coordinate K in the plane coordinate system that is not an entrance and exit coordinate, and get the straight-line distance between coordinate K and each entrance and exit coordinate. Then, according to each straight-line distance, the distance eigenvalue of coordinate K is: Where L n is the straight-line distance between coordinate K and the nth entrance and exit coordinate, 1 ≤ n ≤ N;

[0020] According to the distance eigenvalue L K , the weight of the nth entrance and exit coordinate corresponding to coordinate K is Where L n is the straight-line distance between coordinate K and the nth entrance and exit coordinate; Then, the weight of each entrance and exit coordinate corresponding to coordinate K is obtained, and the feature degree of coordinate K is: Where W K n is the weight of the nth entrance and exit coordinate, and T n is the feature degree of the nth entrance and exit coordinate; Then, the feature degree of each coordinate in the plane coordinate system is obtained.

[0021] The weight here is also equivalent to the influence degree of coordinate K by the entrance and exit coordinates. The entrance and exit coordinates closer to coordinate K have a greater influence on coordinate K, and the weight they occupy should be larger. The entrance and exit coordinates farther from coordinate K have a smaller influence on coordinate K, and the weight they occupy should be smaller. Since the smaller the straight-line distance, the larger its reciprocal, it can illustrate the rationality of obtaining the weight of each entrance and exit coordinate according to the reciprocal of the straight-line distance in this solution, and the sum of the weights occupied by all entrance and exit coordinates is 1.

[0022] Further, step S300 includes:

[0023] Step S310: Obtain the area C occupied by the emergency area in the panoramic image, set the number of water outlet ports of the current plan as D, and obtain the target area as C / D; randomly obtain several coordinates in the plane coordinate system, and calculate the average coordinate a; obtain the outermost contour of the emergency area in the panoramic image, randomly obtain a certain coordinate b in the outermost contour, and obtain a ray S starting from the coordinate a and pointing to the coordinate b.

[0024] Step S320: Use the coordinate a as the center of the circle, and rotate the ray S clockwise until the area passed by the ray S during the rotation reaches the target area, then stop the rotation, and use the range passing through the emergency area as the initial area. Similarly, based on the position of the ray S after stopping the rotation, rotate again to obtain another initial area, and so on, to obtain D initial areas with the same area in the emergency area.

[0025] Further, step S400 includes:

[0026] Step S410: Set the initial number of loops as g = 1, and calculate the average value as the target degree of a certain initial area according to the characteristic degree of each coordinate in a certain initial area; according to the target degree of each initial area, obtain the target value as: where D is the number of initial areas, and T d is the target degree of the d-th initial area; then obtain the iteration ratio of the d-th initial area as: and obtain the iteration ratio of each initial area.

[0027] Since the target degree is determined according to the number of target moving objects, the larger the target degree, the denser the population in the initial area. And since the iteration ratio is the key to determining the re-division of the initial area, the smaller the iteration area, the smaller the area of the next division of the initial area. And the target points are determined according to the initial area. Under normal circumstances, the areas with denser population should have more target points, that is, there should be more water outlet ports of fire hydrants. Then it is reasonable that the larger the target degree of the designed initial area, the smaller its corresponding iteration ratio should be.

[0028] Step S420: Calculate the corresponding variance based on all iteration ratios. If the variance is greater than a preset variance threshold, multiply the area of each initial region by the corresponding iteration ratio to obtain the iteration area corresponding to each initial region, adjust the area of each initial region to the corresponding iteration area, increment the value of the loop count g by 1, and obtain the target value again, as well as the iteration ratio of each initial region, until the variance calculated based on the iteration ratio is not greater than the preset variance threshold, or the value of the loop count g is greater than the preset count threshold, then stop the loop, and use each finally obtained initial region as the target region;

[0029] Step S430: Randomly obtain several coordinates in a certain target region, calculate the average coordinate points corresponding to the several coordinates, thereby obtaining several average coordinate points, and use the coordinate point of the water outlet of the fire-fighting facility that has the minimum sum of distances to each average coordinate point and allows the deployment of the fire-fighting facility as the target point of the certain target region, thereby obtaining the target point corresponding to each target region, and deploy the water outlet of the fire-fighting facility at the target point position.

[0030] A monitoring system for emergency water supply, including a water supply bias degree calculation module, a feature degree calculation module, an initial region division module, and a target point determination module;

[0031] The water supply bias degree calculation module: used to establish a three-dimensional model of the emergency area, where the emergency area is the area that needs to install fire-fighting facilities for emergency water supply; obtain the feature regions in the emergency area, extract the target moving objects in the feature regions according to the moving conditions of each moving object in the historical monitoring video corresponding to the feature regions; calculate the water supply bias degree corresponding to each feature region according to the number of target moving objects in each feature region;

[0032] The feature degree calculation module: used to take a panoramic image of the emergency area, establish a plane coordinate system of the emergency area, and obtain the feature degree corresponding to each coordinate in the plane coordinate system according to the location and water supply bias degree of each feature region in the emergency area;

[0033] The initial region division module: used to obtain the number of water outlets of the currently planned fire-fighting facilities, and obtain several initial regions in the emergency area according to the area occupied by the emergency area in the plane coordinate system;

[0034] The target point determination module: used to set the loop count of the initial region, calculate the iteration ratio of each initial region according to the feature degree of each coordinate in the initial region; obtain several target regions according to the iteration ratio and the loop count, and obtain the target point corresponding to each target region, and then deploy the water outlet of the fire-fighting facility at the target point position.

[0035] Further, the water supply deviation degree calculation module includes a feature area analysis unit, a target moving object determination unit, and a water supply deviation degree calculation unit;

[0036] The feature area analysis unit: is used to obtain the residential area in the emergency area as the feature area; extract the historical surveillance video and capture the first area and the second area in the surveillance video;

[0037] The target moving object determination unit: is used to obtain time T1 and time T2 according to the first area and the second area; set the target time period as F, and judge to obtain the target moving object according to whether the time period between time T1 and time T2 includes the time period F;

[0038] The water supply deviation degree calculation unit: is used to add up all the quantities according to the number of target moving objects in each feature area to obtain the total quantity Q, divide the number of each target moving object by the total quantity Q, and use the obtained result as the water supply deviation degree corresponding to each feature area.

[0039] Further, the initial area division module includes a target area determination unit and an initial area division unit;

[0040] The target area determination unit: is used to obtain the area occupied by the emergency area in the panoramic image, set the number of water outlet ports in the current plan, and obtain the target area;

[0041] The initial area division unit: is used to obtain several initial areas in the emergency area according to the area occupied by the emergency area and the target area.

[0042] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention provides a monitoring system and method for emergency water supply, including: establishing a three-dimensional model of the emergency area, obtaining the feature areas in the emergency area, and calculating the water supply deviation degree of each feature area; establishing a plane coordinate system of the emergency area, and obtaining the feature degree corresponding to each coordinate in the plane coordinate system according to the location and water supply deviation degree of each feature area; obtaining the number of water outlet ports of the fire fighting facilities, and obtaining several initial areas in the emergency area; setting the number of cycles of the initial area, and calculating the iteration ratio of each initial area to obtain several target points, and deploying the water outlet ports at the positions of the target points. By combining the actual situation of the emergency area, specifically according to the number of people in the emergency area, based on the fact that the probability of accidents in areas with more people is more than that in areas with fewer people, the present invention makes the number of water outlet ports of fire hydrants in areas with dense population more than that in areas with sparse population, reasonably sets the positions of the water outlet ports of the fire fighting facilities, effectively distributes water resources, enables the fire brigade to handle emergencies in a timely and effective manner when an accident occurs, and improves the fire fighting efficiency when dealing with emergencies. Description of the Drawings

[0043] Figure 1It is a schematic flowchart of a monitoring method for emergency water supply according to the present invention;

[0044] Figure 2 It is a structural diagram of a monitoring system for emergency water supply according to the present invention. Detailed implementation manners

[0045] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0046] Embodiment: As Figure 1 shown, the present invention provides a technical solution for a monitoring method for emergency water supply, including the following steps:

[0047] Step S100: Establish a three-dimensional model of the emergency area, where the emergency area is the area that needs to supply emergency water by installing fire-fighting facilities; obtain the characteristic areas in the emergency area, and extract the target moving objects in the characteristic areas according to the moving conditions of each moving object in the historical monitoring video corresponding to the characteristic areas; calculate the water supply deviation degree corresponding to each characteristic area according to the number of target moving objects in each characteristic area;

[0048] Step S110: Obtain the residential areas in the emergency area as characteristic areas, divide the unique entrance and exit positions of each characteristic area in the three-dimensional model, and extract the historical monitoring videos of the monitored entrance and exit positions; capture the area corresponding to the entrance and exit position P of a certain characteristic area H in the monitoring video as the first area R P , and according to the target detection technology, capture the rectangular area corresponding to a certain moving object M in the monitoring video as the second area R M ;

[0049] Step S120: Obtain the moment T1 when the moving object M enters the characteristic area H through the entrance and exit position P. The moment T1 is the moment when the area R P and the area R M first intersect during the process of entering the characteristic area H. Take the moment after the moment T1 when the moving object M first leaves the characteristic area H through the entrance and exit position P as T2. The moment T2 is the moment when the area R P and the area R M first intersect during the process of leaving the characteristic area H;

[0050] The target time period is preset as F. If the entire target time period F is included between time T1 and time T2, the moving object M is taken as the target moving object of the feature region H, and then all the target moving objects in each feature region are obtained;

[0051] Step S130: According to the number of target moving objects in each feature region, add up all the numbers to obtain the total number Q. Divide the number of each target moving object by the total number Q, and use the obtained result as the water supply bias degree corresponding to each feature region.

[0052] It should be noted that during the process of entering the feature region H, region R P and region R M will first intersect, and then the intersecting area will first increase and then decrease, and then gradually become 0. The process of judging whether they intersect can be realized in the prior art and will not be elaborated here. The larger the number of target moving objects, the more people there are in the feature region, indicating that the water supply bias degree of the feature region should be greater. The target moving objects are judged according to the permanent residents in the feature region where they are located. Generally speaking, people go out early and return late, and people will rest at night, and those who conform to the normal work and rest logic are used as the target moving objects of the feature region.

[0053] Step S200: Take a panoramic image of the emergency area, establish a plane coordinate system for the emergency area, and obtain the feature degree corresponding to each coordinate in the plane coordinate system according to the location and water supply bias degree of each feature region in the emergency area;

[0054] Step S210: Obtain the unique entrance and exit coordinates corresponding to the entrance and exit positions of each feature region in the plane coordinate system, and use the water supply bias degree as the feature degree of the corresponding entrance and exit coordinates;

[0055] Step S220: Set the total number of entrance and exit coordinates as N, and randomly sort the entrance and exit coordinates; Obtain a certain coordinate K in the plane coordinate system that is not an entrance and exit coordinate, and obtain the straight-line distance between the coordinate K and each entrance and exit coordinate. Then, according to each straight-line distance, the distance feature value of the coordinate K is: where, L n is the straight-line distance between the coordinate K and the nth entrance and exit coordinate, 1 ≤ n ≤ N;

[0056] The weight here is also equivalent to the degree of influence of the entrance / exit coordinates on coordinate K. The entrance / exit coordinates closer to coordinate K have a greater degree of influence on coordinate K, and the weight they occupy should be larger. The entrance / exit coordinates farther from coordinate K have a smaller degree of influence on coordinate K, and the weight they occupy should be smaller. Since the smaller the straight-line distance, the larger its reciprocal, it can illustrate the rationality of obtaining the weight occupied by each entrance / exit coordinate according to the reciprocal of the straight-line distance in this solution, and the sum of the weights occupied by all entrance / exit coordinates is 1.

[0057] According to the distance eigenvalue L K , the weight occupied by the nth entrance / exit coordinate corresponding to coordinate K is where L n is the straight-line distance between coordinate K and the nth entrance / exit coordinate; furthermore, the weight occupied by each entrance / exit coordinate corresponding to coordinate K is obtained, and the characteristic degree of coordinate K is: where W K n is the weight occupied by the nth entrance / exit coordinate, and T n is the characteristic degree of the nth entrance / exit coordinate; furthermore, the characteristic degree of each coordinate in the plane coordinate system is obtained.

[0058] Step S300: Obtain the number of water outlets of the fire-fighting facilities in the current plan, and obtain several initial areas in the emergency area according to the area occupied by the emergency area in the plane coordinate system;

[0059] Step S310: Obtain the area C occupied by the emergency area in the panoramic image, set the number of water outlets in the current plan as D, and obtain the target area as C / D; randomly obtain several coordinates in the plane coordinate system and calculate the average coordinate a; obtain the outermost contour of the emergency area in the panoramic image, randomly obtain a certain coordinate b in the outermost contour, and obtain a ray S starting from coordinate a and pointing to coordinate b;

[0060] Step S320: With coordinate a as the center, rotate ray S clockwise until the area passed by ray S during rotation reaches the target area, then stop rotating, and take the range passed by ray S through the emergency area as an initial area. Similarly, based on the position of ray S after stopping rotation, rotate again to obtain another initial area, and so on, to obtain D initial areas with the same area in the emergency area;

[0061] Step S400: Set the number of loop times of the initial area, calculate the iteration ratio of each initial area according to the characteristic degree of each coordinate in the initial area; obtain several target areas according to the iteration ratio and the number of loop times, and obtain the target points corresponding to each target area, and then deploy the water outlets of the fire-fighting facilities at the positions of the target points.

[0062] Step S410: Set the initial number of loops as g = 1. According to the characteristic degree of each coordinate in a certain initial area, calculate the average value as the target degree of the certain initial area. According to the target degree of each initial area, obtain the target value as: where D is the number of initial areas, and T d is the target degree of the d-th initial area among them. Then obtain the iteration ratio of the d-th initial area as: and obtain the iteration ratio of each initial area;

[0063] Since the target degree is determined according to the number of target moving objects, the larger the target degree, the denser the population in the initial area. And since the iteration ratio is the key to determining the re - division of the initial area, the smaller the iteration area, the smaller the area of the next division of the initial area. And the target points are determined according to the initial areas. Under normal circumstances, the area with a denser population should have more target points, that is, there should be more outlet numbers of fire hydrants. Then it is reasonable that the larger the target degree of the designed initial area, the smaller its corresponding iteration ratio.

[0064] For example: If the total number of initial areas is 3, and the target degrees are 0.6, 0.9, and 0.7 respectively, then first obtain the target value as Then obtain the weights as: and

[0065] Step S420: Calculate the corresponding variance according to all iteration ratios. If the variance is greater than the preset variance threshold, multiply the area of each initial area by the corresponding iteration ratio to obtain the iteration area corresponding to each initial area, adjust the area of each initial area to the corresponding iteration area, and add 1 to the value of the loop number g. Re - obtain the target value and the iteration ratio of each initial area until the variance calculated according to the iteration ratio is not greater than the preset variance threshold, or the value of the loop number g is greater than the preset number threshold. Then stop the loop and take each finally obtained initial area as the target area;

[0066] Step S430: Randomly obtain several coordinates in a certain target area, calculate the average coordinate points corresponding to the several coordinates, and then obtain several average coordinate points. And take the coordinate point with the minimum sum of distances to each average coordinate point and allowing the deployment of the outlet of the fire - fighting facility as the target point of the certain target area. Then obtain the target points corresponding to each target area, and deploy the outlet of the fire - fighting facility at the target point position.

[0067] This solution also provides a monitoring system for emergency water supply, including a water supply deviation degree calculation module, a characteristic degree calculation module, an initial area division module, and a target point determination module;

[0068] Water supply deviation degree calculation module: used to establish a three-dimensional model of the emergency area, where the emergency area is the area that needs emergency water supply by installing fire-fighting facilities; obtain the characteristic areas in the emergency area, extract the target moving objects in the characteristic areas according to the moving conditions of each moving object in the historical surveillance video corresponding to the characteristic areas; calculate the water supply deviation degree corresponding to each characteristic area according to the number of target moving objects in each characteristic area.

[0069] Characteristic degree calculation module: used to take a panoramic image of the emergency area, establish a plane coordinate system of the emergency area, and obtain the characteristic degree corresponding to each coordinate in the plane coordinate system according to the location and water supply deviation degree of each characteristic area in the emergency area.

[0070] Initial area division module: used to obtain the number of water outlets of the currently planned fire-fighting facilities, and obtain several initial areas in the emergency area according to the area occupied by the emergency area in the plane coordinate system.

[0071] Target point determination module: used to set the number of loop times of the initial area, calculate the iteration ratio of each initial area according to the characteristic degree of each coordinate in the initial area; obtain several target areas according to the iteration ratio and the number of loop times, and obtain the target point corresponding to each target area, and then deploy the water outlets of the fire-fighting facilities at the target point positions.

[0072] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claimed rights.

Claims

1. A monitoring method for emergency water supply, characterized in that, Including the following steps: Step S100: Establish a three-dimensional model of the emergency area, where the emergency area is the area that needs to supply emergency water through the installation of fire-fighting facilities; obtain the characteristic areas in the emergency area, and extract the target moving objects in the characteristic areas according to the moving conditions of each moving object in the historical surveillance video corresponding to the characteristic areas; calculate the water supply deviation degree corresponding to each characteristic area according to the number of target moving objects in each characteristic area. Step S200: Take a panoramic image of the emergency area, and establish a plane coordinate system for the emergency area. Obtain the characteristic degree corresponding to each coordinate in the plane coordinate system according to the location and water supply deviation degree of each characteristic area in the emergency area. Step S300: Obtain the number of water outlets of the currently planned fire-fighting facilities, and obtain several initial areas in the emergency area according to the area occupied by the emergency area in the plane coordinate system. Step S400: Set the number of loops for the initial areas, and calculate the iteration ratio of each initial area according to the characteristic degree of each coordinate in the initial area; obtain several target areas according to the iteration ratio and the number of loops, and obtain the target points corresponding to each target area, and then deploy the water outlets of the fire-fighting facilities at the positions of the target points.

2. The monitoring method for emergency water supply according to claim 1, wherein, Step S100 includes: Step S110: Obtain the residential areas in the emergency area as feature areas, divide the unique entrance and exit positions of each feature area in the 3D model, and extract the historical surveillance videos that monitor the entrance and exit positions; capture the area corresponding to the entrance and exit position P of a certain feature area H in the surveillance video as the first area R P , according to the object detection technology, capture the rectangular area corresponding to a certain moving object M in the surveillance video as the second area R M ; Step S120: Obtain the moment T1 when the moving object M enters the feature area H through the access position P. The moment T1 is the moment when, during the process of entering the feature area H, the area R P and the area R M first intersects. Take the moment when the moving object M first leaves the feature area H through the access position P after the moment T1 as T2. The moment T2 is the moment when, during the process of leaving the feature area H, the area R P and the area R M first intersects; Preset the target time period as F. If the entire target time period F is included between time T1 and time T2, then regard the moving object M as the target moving object of the characteristic area H, and thus obtain all the target moving objects in each characteristic area. Step S130: According to the number of target moving objects in each characteristic area, add up all the numbers to obtain the total number Q, divide the number of each target moving object by the total number Q, and use the obtained result as the water supply deviation degree corresponding to each characteristic area.

3. The monitoring method for emergency water supply according to claim 1, wherein, Step S200 includes: Step S210: Obtain the unique entrance and exit coordinates corresponding to the entrance and exit positions of each characteristic area in the plane coordinate system, and use the water supply deviation degree as the characteristic degree of the corresponding entrance and exit coordinates. Step S220: Set the total number of entrance and exit coordinates to N, and randomly sort each entrance and exit coordinate; Obtain a certain coordinate K in the plane coordinate system that is not an entrance and exit coordinate, and get the straight-line distance between the coordinate K and each entrance and exit coordinate. Then, based on each straight-line distance, the distance eigenvalue of the coordinate K is obtained as follows: where L n is the straight-line distance between the coordinate K and the nth entrance and exit coordinate, 1 ≤ n ≤ N; According to the distance eigenvalue L K , the weight of the nth entrance and exit coordinate corresponding to the coordinate K is where L n is the straight-line distance between the coordinate K and the nth entrance and exit coordinate; furthermore, the weight of each entrance and exit coordinate corresponding to the coordinate K is obtained, and the characteristic degree of the coordinate K is: where W K n is the weight of the nth entrance and exit coordinate, and T n is the characteristic degree of the nth entrance and exit coordinate; furthermore, the characteristic degree of each coordinate in the plane coordinate system is obtained.

4. The monitoring method for emergency water supply according to claim 1, wherein Step S300 includes: Step S310: Obtain the area C occupied by the emergency area in the panoramic image, set the number of water outlets of the currently planned water outlet as D, and obtain the target area as C / D; randomly obtain several coordinates in the plane coordinate system, and calculate the average coordinate a; obtain the outermost contour occupied by the emergency area in the panoramic image, randomly obtain a certain coordinate b in the outermost contour, and obtain a ray S starting from the coordinate a and pointing to the coordinate b. Step S320: Use the coordinate a as the center of the circle, and rotate the ray S clockwise until the area passed by the ray S during the rotation reaches the target area, then stop the rotation, and regard the range passed by the ray S through the emergency area as the initial area. Similarly, based on the position of the ray S after stopping the rotation, rotate it again to obtain another initial area, and so on, to obtain D initial areas with the same area in the emergency area.

5. The monitoring method for emergency water supply according to claim 4, wherein Step S400 includes: Step S410: Set the initial number of loops as g = 1. According to the characteristic degree of each coordinate in a certain initial area, calculate the average value as the target degree of the certain initial area. According to the target degree of each initial area, obtain the target value as: where D is the number of initial areas, and T d is the target degree of the d-th initial area among them; then obtain the iteration ratio of the d-th initial area as: and obtain the iteration ratio of each initial area; Step S420: Calculate the corresponding variance based on all iteration ratios. If the variance is greater than a preset variance threshold, multiply the area of each initial region by the corresponding iteration ratio to obtain the iteration area corresponding to each initial region, adjust the area of each initial region to the corresponding iteration area, increment the value of the loop count g by 1, and recalculate the target value and the iteration ratio of each initial region until the variance calculated based on the iteration ratio is not greater than the preset variance threshold or the value of the loop count g is greater than the preset count threshold. Then stop the loop and use each finally obtained initial region as a target region; Step S430: Randomly obtain several coordinates in a certain target region, calculate the average coordinate points corresponding to the several coordinates to obtain several average coordinate points, and use the coordinate point of the water outlet of the fire-fighting facility that has the minimum sum of distances to each average coordinate point and allows the deployment of the fire-fighting facility as the target point of the certain target region. Then obtain the target point corresponding to each target region and deploy the water outlet of the fire-fighting facility at the target point position.

6. A monitoring system for emergency water supply, which is used to execute a monitoring method for emergency water supply described in any one of claims 1-5, characterized in that, The system includes a water supply bias degree calculation module, a feature degree calculation module, an initial region division module, and a target point determination module; Water supply bias degree calculation module: Used to establish a three-dimensional model of the emergency area, where the emergency area is the area that needs emergency water supply by installing fire-fighting facilities; obtain the feature regions in the emergency area, and extract the target moving objects in the feature regions according to the moving conditions of each moving object in the historical surveillance video corresponding to the feature regions; calculate the water supply bias degree corresponding to each feature region according to the number of target moving objects in each feature region; Feature degree calculation module: Used to take a panoramic image of the emergency area, establish a plane coordinate system of the emergency area, and obtain the feature degree corresponding to each coordinate in the plane coordinate system according to the location and water supply bias degree of each feature region in the emergency area; Initial region division module: Used to obtain the number of water outlets of the fire-fighting facilities planned currently, and obtain several initial regions in the emergency area according to the area occupied by the emergency area in the plane coordinate system; Target point determination module: Used to set the loop count of the initial regions, calculate the iteration ratio of each initial region according to the feature degree of each coordinate in the initial region; obtain several target regions according to the iteration ratio and the loop count, and obtain the target point corresponding to each target region, and then deploy the water outlet of the fire-fighting facility at the target point position.

7. The monitoring system for emergency water supply according to claim 6, wherein The water supply bias degree calculation module includes a feature region analysis unit, a target moving object determination unit, and a water supply bias degree calculation unit; Feature region analysis unit: Used to obtain the residential area in the emergency area as the feature region; Extract the historical surveillance video and capture the first region and the second region in the surveillance video; Target moving object determination unit: Used to obtain time T1 and time T2 according to the first region and the second region; Set the target time period as F, and determine the target moving object according to whether the time period between time T1 and time T2 includes the time period F; Water supply deviation degree calculation unit: It is used to add up all the numbers of target moving objects in each feature area to obtain the total number Q, divide the number of each target moving object by the total number Q, and use the obtained result as the water supply deviation degree corresponding to each feature area.

8. The monitoring system for emergency water supply according to claim 6, characterized in that, The initial area division module includes a target area determination unit and an initial area division unit; Target area determination unit: It is used to obtain the area occupied by the emergency area in the panoramic image, set the number of water outlet ports in the current plan, and obtain the target area; Initial area division unit: It is used to obtain several initial areas in the emergency area according to the area occupied by the emergency area and the target area.

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