Multi-scene intelligent camera shooting, patrolling, analyzing and managing system for regional security and fire protection

Abstract

The invention belongs to the technical field of multi-scene patrol analysis management, and particularly discloses a multi-scene intelligent shooting patrol analysis management system for regional security and fire protection. Comprising a regional information recording module, a regional security monitoring module, a regional security analysis module, a regional hidden danger monitoring module, a regional hidden danger analysis module, a regional fire-fighting monitoring module, a regional fire-fighting analysis module, a regional early warning confirmation module and a regional early warning management terminal. According to the invention, the pertinence of regional monitoring analysis is guaranteed by analyzing the security and protection qualified index, the fire hazard qualified index and the fire hazard qualified index of each monitoring region, so that the discovery timeliness of potential problems is improved, and meanwhile, according to the security and protection qualified index, the fire hazard qualified index and the fire hazard qualified index of each monitoring region, the monitoring accuracy is improved. And the early warning item of each monitoring area is confirmed, so that the accuracy and effectiveness of early warning are guaranteed, and the management efficiency of area management is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of multi-scenario patrol analysis management, and relates to a multi-scenario intelligent camera patrol analysis management system for regional security and fire protection. Background Art

[0002] Multi-scenario intelligent camera patrol analysis management can conduct real-time patrols through intelligent cameras in various scenarios, such as public places, commercial areas and industrial sites, and accurately monitor and analyze security and fire protection. With its powerful functions, it can promptly detect abnormal situations in security and fire protection and issue alarms. At the same time, it integrates and analyzes relevant data to provide strong support for regional security management, effectively improve the efficiency and accuracy of security and fire protection work, and ensure regional safety and stability.

[0003] For example, the Chinese patent with publication number CN114329089A discloses a regulatory area management system. The present application discloses a regulatory area management system, including a display interaction module, a data acquisition module, a data analysis module and a real-time alarm module, wherein: the data acquisition module is used to obtain various data of the regulatory area. The data analysis module is used to analyze and integrate various data of the regulatory area acquired by the data acquisition module, detect whether abnormal conditions occur in the regulatory area, and generate charts and models representing the current regulatory area status from different dimensions. The display interaction module is used to respond to the operation of the management personnel and display the charts and models representing the current regulatory area status that match the operation request. The real-time alarm module is used to issue an alarm prompt that matches the abnormal condition type for the abnormal condition detected by the data analysis module. The present application is used to perform data mining association, dynamic display of multi-scenario data and visual analysis management on the regulatory area, which effectively improves the regulatory capacity of the regulatory area and the security factor of the personnel in the regulatory area.

[0004] The above existing technologies have the following deficiencies: 1. Currently, only abnormal conditions are monitored and analyzed, and targeted regional monitoring and analysis of security and fire protection are not performed, which cannot guarantee the comprehensiveness of regional monitoring and analysis, and cannot guarantee the targetedness of regional monitoring and analysis, thereby reducing the timeliness of discovering potential problems.

[0005] 2. Currently, only warnings are issued for abnormal conditions. Warning items are not confirmed by analyzing the qualified index of each monitoring area, and then corresponding management is not carried out. As a result, the accuracy and effectiveness of the warning cannot be guaranteed, resulting in false alarms and missed alarms, and reducing the management efficiency of regional management.

[0006] 3. The instantaneous nature of flames is not taken into account during the current monitoring and analysis of abnormal conditions. The authenticity of flames is not confirmed by considering the duration and spread of flames, thus failing to ensure the effectiveness and accuracy of fire warnings, leading to a waste of resources. Summary of the invention

[0007] In view of this, in order to solve the problems raised in the above background technology, a multi-scenario intelligent camera patrol analysis and management system for regional security and fire protection is proposed.

[0008] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a multi-scene intelligent camera patrol analysis and management system for regional security and fire protection, including: a regional information recording module, which is used to divide the area for intelligent camera patrol into various monitoring areas, and record the initial information of the items in each monitoring area and set the flame duration.

[0009] The regional security monitoring module is used to monitor the security information of each monitoring area. The security information includes item status information and item location information.

[0010] The regional security analysis module is used to analyze the security qualification index of each monitoring area based on the security information of each monitoring area.

[0011] The regional hidden danger monitoring module is used to monitor the fire hidden danger information of each monitoring area.

[0012] The regional hidden danger analysis module is used to analyze the fire hidden danger qualification index of each monitoring area based on the fire hidden danger information of each monitoring area.

[0013] The regional fire monitoring module is used to monitor the fire information in each monitoring area.

[0014] The regional fire analysis module is used to analyze the fire protection qualification index of each monitoring area based on the fire protection information of each monitoring area.

[0015] The regional early warning confirmation module is used to confirm the early warning items of each monitoring area according to the security qualification index, fire hazard qualification index and fire qualification index of each monitoring area.

[0016] The regional early warning management terminal is used to perform corresponding early warning management according to the early warning items of each monitoring area.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention breaks the current deficiency of lack of targeted regional monitoring and analysis of security and fire protection by analyzing the security qualification index, fire hazard qualification index and fire protection qualification index of each monitoring area, thereby ensuring the comprehensiveness of regional monitoring and analysis, while ensuring the targetedness of regional monitoring and analysis, thereby improving the timeliness of discovery of potential problems.

[0018] (2) The present invention confirms each warning item of each monitoring area according to the security qualification index, fire hazard qualification index and fire qualification index of each monitoring area, thereby avoiding the current deficiency of not confirming the warning items by analyzing the qualification index of each monitoring area, thereby ensuring the accuracy and effectiveness of the warning, thereby reducing the probability of false alarms and missed alarms, and improving the management efficiency of regional management.

[0019] (3) The present invention analyzes the fire qualification index according to the flame duration ratio and the flame spread speed, thus breaking the current deficiency of not confirming the authenticity of the flame by considering the flame duration and spread, thereby ensuring the effectiveness and accuracy of the fire warning and reducing the waste of resources.

[0020] (4) When analyzing the fire hazard qualified index of each monitoring point, the present invention improves the accuracy of the fire hazard qualified index analysis by analyzing the distance influence factor of each monitoring point, thereby improving the response efficiency of the early warning response. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0022] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0023] Figure 2 It is a connection diagram of the analysis steps of the security qualification index of each monitoring area of ​​the present invention.

[0024] Figure 3 It is a schematic diagram of the connection steps of the analysis steps of the fire protection qualified index of each monitoring area of ​​the present invention. DETAILED DESCRIPTION

[0025] 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.

[0026] See also Figure 1As shown, the present invention provides a multi-scenario intelligent camera patrol analysis and management system for regional security and fire protection, the system comprising: a regional information recording module, a regional security monitoring module, a regional security analysis module, a regional hidden danger monitoring module, a regional hidden danger analysis module, a regional fire monitoring module, a regional fire analysis module, a regional early warning confirmation module and a regional early warning management terminal.

[0027] In the above, the regional information recording module is respectively connected to the regional security analysis module and the regional fire analysis module, the regional security analysis module is respectively connected to the regional security monitoring module and the regional early warning confirmation module, the regional hidden danger analysis module is respectively connected to the regional fire monitoring module and the regional early warning confirmation module, the regional fire analysis module is respectively connected to the regional fire monitoring module and the regional early warning confirmation module, and the regional early warning confirmation module is also connected to the regional early warning management terminal.

[0028] The area information recording module is used to divide the area where the intelligent camera patrol is carried out into various monitoring areas, and record the initial information of the objects in each monitoring area and the set flame duration.

[0029] It should be added that the initial information of the objects in each monitoring area includes: the number of objects in each monitoring area and the initial position coordinates of each object in each monitoring area.

[0030] The regional security monitoring module is used to monitor the security information of each monitoring area, and the security information includes object status information and object location information.

[0031] It should be added that the item status information of each monitoring area includes: the number of scratches on each item in each monitoring area, the length of each scratch, and the number of damaged parts and the area of ​​each damaged part of each item.

[0032] It should be added that the number of scratches on each object in each monitoring area and the length of each scratch are obtained by collecting the surface images of the objects through a high-resolution image sensor installed on the intelligent camera patrol equipment, and then using an image processing algorithm to detect the number of scratches on each object and the length of each scratch.

[0033] It should be added that the number of damaged parts and the area of ​​each damaged part of each item in each monitoring area are obtained by collecting the surface image of the item through a high-resolution image sensor installed on the intelligent camera patrol equipment, and then identifying the edge of the damaged part through an edge detection algorithm, and determining the length of the damaged part by calculating the number of pixels on the edge and combining it with the known image scale, thereby obtaining the number of damaged parts and the area of ​​each damaged part of each item.

[0034] It should be added that the object location information of each monitoring area includes: the monitoring location coordinates of each object in each monitoring area.

[0035] It should be added that the method for obtaining the monitoring position coordinates of each object in each monitoring area is: the image of the monitoring area is collected by a depth camera installed on the intelligent camera patrol device, and then the feature points in the image are matched and extracted, and matched with the feature points of each known position area, so as to obtain the outline of each object in each monitoring area, and the center point of the outline of each object in each monitoring area is used as the monitoring position coordinates of each object in each monitoring area.

[0036] The regional security analysis module is used to analyze the security qualification index of each monitoring area based on the security information of each monitoring area.

[0037] See also Figure 2 As shown, exemplarily, the analysis of the security qualification index of each monitoring area includes: E1, according to the item status information of each monitoring area, calculating the item status qualification index φ of each monitoring area w , w is the monitoring area number, w=1,2,......,y.

[0038] Furthermore, the statistical object status qualified index of each monitoring area includes: E1-1, extracting the number of scratches and the length of each scratch of each object in each monitoring area from the object status information of each monitoring area, and then screening out the maximum scratch length of each object from the lengths of each scratch of each object in a certain monitoring area, recorded as L i , and calculate the average length of each scratch on each item to get the average scratch length of each item, recorded as L i ′, i is the item number in the monitoring area, i=1,2,......,m.

[0039] E1-2. The number of scratches on each object in the monitoring area is recorded as D i .

[0040] E1-3. Calculate the scratch qualification index ε of each item in the monitoring area i , D′ and L″ are the allowable number of scratches and the allowable length of scratches respectively.

[0041] It should be added that D′ and L″ are both extracted from the technical specification table of multi-scenario intelligent camera patrol analysis management for regional security and fire protection.

[0042] E1-4. If the scratch qualified index of an item is less than the set reference scratch qualified index, the item is recorded as a scratch qualified item, and the number of scratch qualified items in the monitoring area is counted.

[0043] E1-5. Extract the number of items in each monitoring area from the initial information of the items in the monitoring area, and then use the ratio of the number of items with qualified scratches to the number of items as the qualified scratch index of the items in the monitoring area, denoted as γ1.

[0044] E1-6. Extract the number of damaged parts and the area of ​​each damaged part of each item in each monitoring area from the item status information in the monitoring area, and then obtain the item damage qualification index of the monitoring area in the same way as γ1, and record it as γ2.

[0045] E1-7. Select the minimum value from γ1 and γ2 as the item status qualification index of the monitoring area, and then obtain the item status qualification index of each monitoring area, and record it as φ w .

[0046] E2. According to the location information of items in each monitoring area, calculate the qualified index of item location in each monitoring area

[0047] Furthermore, the counting of the object position qualification index of each monitoring area includes: E2-1, extracting the monitoring position coordinates of each object in each monitoring area from the object position information of each monitoring area.

[0048] E2-2. Mark the monitoring position coordinates of each item in a monitoring area as (x i ,y i ,z i ).

[0049] E2-3. Extract the initial position coordinates of each item in the monitoring area from the initial information of the items in each monitoring area and record them as (x i ′,y i ′,z i ′).

[0050] E2-4. Count the overall position deviation d of each object in the monitoring area i ,

[0051] In a specific embodiment, if the initial position coordinates of the object are (300, 200, 100) and the monitoring position coordinates are (302.5, 198.6, 101.2), then the overall position deviation of the object is

[0052] E2-5. Calculate the position deviation qualification index η of each object in the monitoring area i , d′ is the overall deviation of the permissible position of the set reference.

[0053] E2-6. If the position deviation qualified index of an item in the monitoring area is greater than the set reference position deviation qualified index, the item is recorded as a position qualified item, the number of position qualified items is counted, and the ratio of the number of items in the monitoring area is used as the position qualified index of the item in the monitoring area, and then the position qualified index of the item in each monitoring area is obtained, which is recorded as

[0054] E3. Calculate the security qualification index of each monitoring areaδ w , u1 and u2 are the weights of the set item status qualification index and item location qualification index respectively, u1+u2=1, u1>u2.

[0055] It should be added that scratches and damages on objects may affect their structural integrity and safety of use. For example, for some key mechanical equipment, if their key components are scratched or damaged, it may cause the equipment to malfunction during operation or even cause a safety accident. The position deviation of the object itself will not directly bring major safety risks. Compared with the scratches and damages on the object, the probability of a safety accident caused by the position deviation is relatively small. Therefore, u1>u2 is set. For the convenience of analysis, u1 can be specifically taken as 0.6 and u2 can be specifically taken as 0.4.

[0056] The regional hidden danger monitoring module is used to monitor the fire hidden danger information of each monitoring area.

[0057] It should be added that the fire hazard information of each monitoring area includes: the temperature of each monitoring area at each monitoring point in each monitoring time point.

[0058] It should be added that the temperature is monitored by a temperature sensor installed on an intelligent camera patrol device.

[0059] The regional hidden danger analysis module is used to analyze the fire hidden danger qualification index of each monitoring area according to the fire hidden danger information of each monitoring area.

[0060] Exemplarily, the analyzing the fire hazard qualified index of each monitoring area includes: extracting the temperature of each monitoring area at each monitoring point in each monitoring time point from the fire hazard information of each monitoring area.

[0061] The maximum temperature of each monitoring point is selected from the temperatures of each monitoring point at each monitoring time point in a monitoring area, and recorded as C j , j is the monitoring point number, j=1,2,......,n.

[0062] According to the temperature of each monitoring point in a monitoring area at each monitoring time point, the temperature change rate of each monitoring point in the monitoring area is counted

[0063] Furthermore, the counting of the temperature change rate of each monitoring point in the monitoring area includes: combining each monitoring time point in each monitoring point in the monitoring area with its next adjacent monitoring time point in pairs to obtain each monitoring time group of each monitoring point in the monitoring area.

[0064] The temperature and time of two monitoring time points in each monitoring time group in each monitoring point are respectively subtracted to obtain the temperature difference and interval duration of each monitoring time group in each monitoring point.

[0065] The temperature difference and interval duration of each monitoring time group in each monitoring point are compared to obtain the temperature change rate of each monitoring time group in each monitoring point.

[0066] The maximum value is selected from the temperature change rate of each monitoring time group in each monitoring point as the temperature change rate of each monitoring point in the monitoring area, recorded as

[0067] The distance between each monitoring point and its adjacent equipment in the monitoring area is extracted from the fire information of each monitoring area and recorded as l j .

[0068] Statistical distance influence factor θ of each monitoring point j , l′ is the equipment safety distance for setting reference.

[0069] It should be added that l′ is extracted from the technical specification table of multi-scenario intelligent camera patrol analysis management for regional security and fire protection.

[0070] Calculate the fire hazard qualification index of each monitoring point C′ and are the reference temperature and temperature change rate respectively.

[0071] It should be added that C′ and They are all extracted from the technical specification table of multi-scenario intelligent camera patrol analysis management for regional security and fire protection.

[0072] When analyzing the fire hazard qualified index of each monitoring point, the embodiment of the present invention improves the accuracy of the fire hazard qualified index analysis by analyzing the distance influence factor of each monitoring point, thereby improving the response efficiency of the early warning response.

[0073] from The maximum value is selected as the qualified index of fire hazards in the monitoring area, and then the qualified index of fire hazards in each monitoring area is obtained.

[0074] The regional fire monitoring module is used to monitor the fire information of each monitoring area.

[0075] It should be added that the fire information of each monitoring area includes: the distance between each monitoring point in each monitoring area and its adjacent equipment, the number of flames in each monitoring area and the monitoring video.

[0076] It should be added that the distance between each monitoring point and its adjacent equipment in each monitoring area is obtained by monitoring with a laser rangefinder.

[0077] It should be added that the method for obtaining the number of flames in each monitoring area is as follows: the monitoring area is imaged through a depth camera installed on an intelligent patrol device. If a flame feature is detected in a captured image, a specific flame recognition algorithm is used, such as a judgment based on features such as color, shape, and dynamic changes. When the flame judgment conditions are met, the flame in the image is identified as a valid flame, and the position of the valid flame is extracted from the captured image, thereby extracting a captured image of the valid flame position under the set monitoring time. If there is a valid flame in all the captured images of the valid flame position under the set time, the valid flame is recorded as the actual flame, and the actual number of flames in each monitoring area is counted and used as the number of flames in each monitoring area.

[0078] It should be added that the surveillance videos of each monitoring area are obtained through the cameras installed on the intelligent camera patrol equipment.

[0079] The regional fire analysis module is used to analyze the fire qualification index of each monitoring area based on the fire information of each monitoring area.

[0080] See also Figure 3 As shown, exemplarily, the analysis of the fire protection qualified index of each monitoring area includes: G1, extracting the number of flames in each monitoring area from the fire protection information of each monitoring area, if the number of flames in a monitoring area is 0, then the fire protection qualified index of the monitoring area is recorded as 1.

[0081] G2. If the number of flames in a monitoring area is not 0, the monitoring video of the monitoring area is extracted from the fire information of each monitoring area, and then the fire qualification index ψ of the monitoring area is calculated to obtain the fire qualification index of each monitoring area.

[0082] Furthermore, the fire qualification index of the monitoring area is calculated by the following steps: G2-1: extracting the duration from the flame appearance monitoring time point to the current monitoring time point from the monitoring video of the monitoring area as the current flame duration of the monitoring area, recorded as T.

[0083] G2-2. Extract the set flame duration of each monitoring area from the set flame duration of each monitoring area, and record it as T′.

[0084] G2-3, calculate the duration of the flame K,

[0085] G2-4. Count the flame spread speed V of the monitoring area based on the surveillance video of the monitoring area.

[0086] Furthermore, the statistics of the flame spread speed in the monitoring area include: G2-4-1, extracting the flame occurrence monitoring time point and the current monitoring time point from the monitoring video of the monitoring area, and then obtaining the flame monitoring time of the monitoring area, and recording it as ΔT.

[0087] G2-4-2. Extract the current flame area from the surveillance video of the monitoring area and record it as S.

[0088] G2-4-3. Calculate the flame spread speed V in the monitoring area.

[0089] In a specific embodiment, if the monitoring video first detects the appearance of flame at 10:15:20 am, the monitoring time point is recorded as the flame appearance monitoring time point, and the current time is 10:30:30 am, the monitoring time point is recorded as the current monitoring time point.

[0090] First, convert the time into seconds. 10:30:30 is 10×3600+30×60+30=37830 seconds, and 10:15:20 is 10×3600+15×60+20=36920 seconds.

[0091] The flame monitoring time is ΔT=37830-36920=910 seconds.

[0092] If the current flame area is S = 20 square meters, then the flame spread speed in the monitoring area is Square meters / minute, where 60 is the conversion of seconds into minutes.

[0093] G2-5. Calculate the fire qualification index ψ of the monitoring area. K′ and V′ are the flame duration ratio and flame spread speed of the set reference respectively, and e is a natural constant.

[0094] It should be added that K′ and V′ are both extracted from the technical specification table of multi-scenario intelligent camera patrol analysis management for regional security and fire protection.

[0095] The embodiment of the present invention analyzes the fire qualification index according to the flame duration ratio and the flame spread speed, breaking the current deficiency of confirming the authenticity of the flame without considering the flame duration and spread, thereby ensuring the effectiveness and accuracy of the fire warning and reducing the waste of resources.

[0096] The regional early warning confirmation module is used to confirm each early warning item of each monitoring area according to the security qualification index, fire hazard qualification index and fire qualification index of each monitoring area.

[0097] The embodiment of the present invention analyzes the security qualification index, fire hazard qualification index and fire qualification index of each monitoring area, breaking the current deficiency of lack of targeted regional monitoring and analysis of security and fire protection, thereby ensuring the comprehensiveness of regional monitoring and analysis, while ensuring the targetedness of regional monitoring and analysis, thereby improving the timeliness of discovery of potential problems.

[0098] Exemplarily, the confirming of each warning item of each monitoring area includes: extracting a security qualification index, a fire hazard qualification index and a fire qualification index of each monitoring area.

[0099] If the security qualification index of a certain monitoring area is less than the set reference security qualification index, the security warning will be used as the warning item of the monitoring area.

[0100] If the fire hazard qualified index of a certain monitoring area is less than the set reference fire hazard qualified index, the fire hazard warning will be used as the warning item for the monitoring area.

[0101] If the fire qualification index of a certain monitoring area is less than the set reference fire qualification index, the fire will be used as the early warning item of the monitoring area, so as to obtain the early warning items of each monitoring area.

[0102] The embodiment of the present invention confirms each warning item of each monitoring area according to the security qualification index, fire hazard qualification index and fire qualification index of each monitoring area, thereby avoiding the current deficiency of not confirming the warning items by analyzing the qualification index of each monitoring area, thereby ensuring the accuracy and effectiveness of the warning, thereby reducing the probability of false alarms and missed alarms, and improving the management efficiency of regional management.

[0103] The regional early warning management terminal is used to perform corresponding early warning management according to each early warning item in each monitoring area.

[0104] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field 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 should all fall within the protection scope of the present invention.

Claims

1. A multi-scenario intelligent camera patrol analysis and management system for regional security and fire protection, characterized by: The system includes: The area information recording module is used to divide the area where the intelligent camera patrol is carried out into various monitoring areas, and record the initial information of the items in each monitoring area and the set flame duration; The regional security monitoring module is used to monitor the security information of each monitoring area, including item status information and item location information; Regional security analysis module, used to analyze the security qualification index of each monitoring area based on the security information of each monitoring area; Regional hidden danger monitoring module, used to monitor fire hidden danger information in each monitoring area; The regional hidden danger analysis module is used to analyze the fire hidden danger qualification index of each monitoring area according to the fire hidden danger information of each monitoring area; Regional fire monitoring module, used to monitor fire information in each monitoring area; The regional fire analysis module is used to analyze the fire qualification index of each monitoring area based on the fire information of each monitoring area; The regional early warning confirmation module is used to confirm the early warning items of each monitoring area according to the security qualification index, fire hazard qualification index and fire qualification index of each monitoring area; The regional early warning management terminal is used to perform corresponding early warning management according to the early warning items of each monitoring area.

2. According to claim 1, a multi-scenario intelligent camera patrol analysis and management system for regional security and fire protection is characterized by: The analysis of the security qualification index of each monitoring area includes: E1. According to the item status information of each monitoring area, the item status qualification index φ of each monitoring area is calculated w , w is the monitoring area number, w=1,2,......,y; E2. According to the location information of items in each monitoring area, calculate the qualified index of item location in each monitoring area E3. Calculate the security qualification index of each monitoring areaδ w , u1 and u2 are the weights of the set item status qualification index and item location qualification index respectively, u1+u2=1, u1>u2.

3. According to claim 2, a multi-scenario intelligent camera patrol analysis and management system for regional security and fire protection is characterized in that: The statistical analysis of the item status qualification index in each monitoring area includes: The number of scratches and the length of each scratch of each item in each monitoring area are extracted from the item status information of each monitoring area, and then the maximum scratch length of each item is selected from the length of each scratch of each item in a certain monitoring area, which is recorded as L i , and calculate the average length of each scratch on each item to get the average scratch length of each item, recorded as L i ′, i is the item number in the monitoring area, i=1,2,......,m; The number of scratches on each object in the monitoring area is recorded as D i ; Count the scratch qualification index ε of each item in the monitoring area i , D′ and L″ are the number of permissible scratches and the length of permissible scratches for setting reference respectively; If the scratch qualified index of an item is less than the set reference scratch qualified index, the item is recorded as a scratch qualified item, and the number of scratch qualified items in the monitoring area is counted; The number of items in each monitoring area is extracted from the initial information of the items in the monitoring area, and then the ratio of the number of items with qualified scratches in the monitoring area to the number of items is used as the qualified scratch index of the items in the monitoring area, which is recorded as γ1; Extract the number of damaged parts and the area of ​​damaged parts of each item in each monitoring area from the item status information in the monitoring area, and then obtain the item damage qualified index of the monitoring area in the same way as γ1, and record it as γ2; The minimum value is selected from γ1 and γ2 as the item status qualification index of the monitoring area, and then the item status qualification index of each monitoring area is obtained and recorded as φ w .

4. According to claim 2, a multi-scenario intelligent camera patrol analysis and management system for regional security and fire protection is characterized in that: The statistical method of the qualified index of the position of items in each monitoring area includes: Extracting the monitoring position coordinates of each object in each monitoring area from the object position information of each monitoring area; The monitoring position coordinates of each object in a monitoring area are marked as (x i ,y i ,z i ); Extract the initial position coordinates of each object in the monitoring area from the initial information of the objects in the monitoring area and record them as (x i ′,y i ′,z i ′); Count the overall position deviation d of each object in the monitoring area i , Statistical position deviation qualified index η of each object in the monitoring area i , d′ is the overall deviation of the permissible position of the set reference; If the position deviation qualified index of an item in the monitoring area is greater than the set reference position deviation qualified index, the item is recorded as a position qualified item, the number of position qualified items in the monitoring area is counted, and the ratio of the number of items in the monitoring area is used as the position qualified index of the item in the monitoring area, and then the position qualified index of the item in each monitoring area is obtained, which is recorded as 5. According to claim 1, a multi-scenario intelligent camera patrol analysis and management system for regional security and fire protection is characterized in that: The analysis of the fire hazard qualification index of each monitoring area includes: Extract the temperature of each monitoring area at each monitoring point at each monitoring time point from the fire hazard information of each monitoring area; The maximum temperature of each monitoring point is selected from the temperatures of each monitoring point at each monitoring time point in a monitoring area, and recorded as C j , j is the monitoring point number, j = 1, 2, ..., n; According to the temperature of each monitoring point in a monitoring area at each monitoring time point, the temperature change rate of each monitoring point in the monitoring area is counted The distance between each monitoring point and its adjacent equipment in the monitoring area is extracted from the fire information of each monitoring area and recorded as l j ; Statistical distance influence factor θ of each monitoring point j , l′ is the equipment safety distance for setting reference; Calculate the fire hazard qualification index of each monitoring point C′ and are the set reference temperature and temperature change rate respectively; from The maximum value is selected as the qualified index of fire hazards in the monitoring area, and then the qualified index of fire hazards in each monitoring area is obtained.

6. The multi-scenario intelligent camera patrol analysis and management system for regional security and fire protection according to claim 5 is characterized by: The counting of the temperature change rate of each monitoring point in the monitoring area includes: Combining each monitoring time point in each monitoring point in the monitoring area with its next adjacent monitoring time point in pairs to obtain each monitoring time group of each monitoring point in the monitoring area; The temperature and time of two monitoring time points in each monitoring time group in each monitoring point are respectively subtracted, so as to obtain the temperature difference and interval length of each monitoring time group in each monitoring point; Compare the temperature difference and interval duration of each monitoring time group in each monitoring point to obtain the temperature change rate of each monitoring time group in each monitoring point; The maximum value is selected from the temperature change rate of each monitoring time group in each monitoring point as the temperature change rate of each monitoring point in the monitoring area, recorded as 7. According to claim 1, a multi-scenario intelligent camera patrol analysis and management system for regional security and fire protection is characterized by: The fire protection qualification index of each monitoring area is analyzed, including: G1. Extract the number of flames in each monitoring area from the fire information of each monitoring area. If the number of flames in a monitoring area is 0, the fire qualification index of the monitoring area is recorded as 1; G2. If the number of flames in a monitoring area is not 0, the monitoring video of the monitoring area is extracted from the fire information of each monitoring area, and then the fire qualification index ψ of the monitoring area is calculated to obtain the fire qualification index of each monitoring area.

8. The multi-scenario intelligent camera patrol analysis and management system for regional security and fire protection according to claim 7 is characterized by: The fire protection qualified index of the monitoring area is calculated as follows: Extract the duration between the flame occurrence monitoring time point and the current monitoring time point from the monitoring video of the monitoring area as the current flame duration of the monitoring area, denoted as T; Extract the set flame duration of the monitoring area from the set flame duration of each monitoring area, and record it as T′; Statistical flame duration ratio K, According to the monitoring video of the monitoring area, the flame spread speed V of the monitoring area is calculated; Calculate the fire qualification index ψ of the monitoring area, K′ and V′ are the flame duration ratio and flame spread speed of the set reference respectively, and e is a natural constant.

9. The multi-scenario intelligent camera patrol analysis and management system for regional security and fire protection according to claim 8, characterized in that: The counting of the flame spread speed in the monitoring area includes: Extract the flame occurrence monitoring time point and the current monitoring time point from the monitoring video of the monitoring area, and then obtain the flame monitoring time of the monitoring area, which is recorded as ΔT; Extract the current flame area from the surveillance video of the monitoring area and record it as S; Calculate the flame spread speed V in the monitoring area, 10. The multi-scenario intelligent camera patrol analysis and management system for regional security and fire protection according to claim 9, characterized in that: The confirmation of each warning item in each monitoring area includes: Extract the security qualification index, fire hazard qualification index and fire qualification index of each monitoring area; If the security qualification index of a certain monitoring area is less than the set reference security qualification index, the security warning will be used as the warning item of the monitoring area; If the fire hazard qualified index of a certain monitoring area is less than the set reference fire hazard qualified index, the fire hazard warning will be used as the warning item of the monitoring area; If the fire qualification index of a certain monitoring area is less than the set reference fire qualification index, the fire will be used as the early warning item of the monitoring area, so as to obtain the early warning items of each monitoring area.

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