Multi-scene intelligent camera patrolling analysis management system for regional security and fire protection

Abstract

The present application belongs to the technical field of multi-scene patrol analysis management, and specifically discloses a multi-scene intelligent camera patrol analysis management system for regional security and fire protection, which comprises 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. The present application analyzes the security qualification index, the fire hidden danger qualification index and the fire disaster qualification index of each monitoring region, thereby ensuring the pertinence of regional monitoring analysis, improving the timeliness of potential problem discovery, confirming the early warning items of each monitoring region according to the security qualification index, the fire hidden danger qualification index and the fire disaster qualification index of each monitoring region, thereby ensuring the accuracy and effectiveness of early warning, and improving the management efficiency of regional management.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of multi-scene patrol analysis management, and relates to a multi-scene intelligent camera patrol analysis management system for regional security and fire safety. BACKGROUND

[0002] The multi-scene intelligent camera patrol analysis management can perform real-time patrol through intelligent cameras in various scenes such as public places, commercial areas and industrial sites, accurately monitor and analyze security and fire safety, timely discover abnormal situations of security and fire safety and issue alarms, integrate and analyze relevant data, provide strong support for regional safety management, effectively improve the efficiency and accuracy of security and fire safety work, and ensure the safety and stability of the region.

[0003] A Chinese patent with publication number CN114329089A discloses a supervision area management system, which comprises a display interaction module, a data acquisition module, a data analysis module and a real-time alarm module. The data acquisition module is used to acquire various data of the supervision area. The data analysis module is used to analyze and integrate the various data of the supervision area acquired by the data acquisition module, detect whether an abnormal condition occurs in the supervision area, and generate charts and models representing the current state of the supervision area from different dimensions. The display interaction module is used to respond to the operations of the management personnel and display the charts and models representing the current state of the supervision area that match the operation request. The real-time alarm module is used to perform alarm prompts matching the type of the abnormal condition detected by the data analysis module. The application is used for data mining association, multi-scene data dynamic display and visual analysis management of the supervision area, effectively improving the supervision ability of the supervision area and the protection coefficient of the personnel in the supervision area.

[0004] The above prior art has the following deficiencies: 1. The current monitoring and analysis is only for abnormal conditions, and there is no targeted regional monitoring and analysis for security and fire safety, which cannot guarantee the comprehensiveness of regional monitoring and analysis, and cannot guarantee the pertinence of regional monitoring and analysis, thereby reducing the timeliness of discovering potential problems.

[0005] 2. The current prewarning is only for abnormal conditions, and the prewarning items are not confirmed by analyzing the qualified indexes of each monitoring area, and the corresponding management is not performed, which cannot guarantee the accuracy and effectiveness of the prewarning, resulting in false positives and false negatives of the prewarning, and reducing the management efficiency of regional management.

[0006] 3. When the current abnormal condition monitoring and analysis is performed, the instantaneous nature of the flame is not considered, and the authenticity of the flame is not confirmed by considering the duration and spread of the flame, which cannot guarantee the effectiveness and accuracy of the fire safety prewarning, thereby causing waste of resources. SUMMARY

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

[0008] The object of the present application can be achieved by the following technical solutions: The present application provides a multi-scene intelligent camera patrol analysis management system for regional security and fire protection, comprising: a regional information recording module, which is used to divide the region for intelligent camera patrol into each monitoring region, and record the initial information of the articles and the setting flame duration of each monitoring region.

[0009] A regional security monitoring module is used to monitor the security information of each monitoring region, and the security information includes article state information and article location information.

[0010] A regional security analysis module is used to analyze the security qualified index of each monitoring region according to the security information of each monitoring region.

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

[0012] A regional hidden danger analysis module is used to analyze the fire hidden danger qualified index of each monitoring region according to the fire hidden danger information of each monitoring region.

[0013] A regional fire monitoring module is used to monitor the fire disaster information of each monitoring region.

[0014] A regional fire analysis module is used to analyze the fire disaster qualified index of each monitoring region according to the fire disaster information of each monitoring region.

[0015] A regional early warning confirmation module is used to confirm each early warning item of each monitoring region according to the security qualified index, the fire hidden danger qualified index and the fire disaster qualified index of each monitoring region.

[0016] A regional early warning management terminal is used to perform corresponding early warning management according to each early warning item of each monitoring region.

[0017] Compared with the prior art, the present application has the following advantages: (1) The present application breaks the current deficiency of not conducting targeted regional monitoring analysis on security and fire protection by analyzing the security qualified index, the fire hidden danger qualified index and the fire disaster qualified index of each monitoring region, thereby ensuring the comprehensiveness of regional monitoring analysis and the pertinence of regional monitoring analysis, and improving the timeliness of discovering potential problems.

[0018] (2) The present application confirms each early warning item of each monitoring area by the security qualification index, the fire hazard qualification index and the fire disaster qualification index of each monitoring area, avoids the deficiency that the early warning item is not confirmed by analyzing the qualification index of each monitoring area at present, and further guarantees the accuracy and effectiveness of early warning, so as to reduce the occurrence probability of early warning false alarm and missed report, and improve the management efficiency of regional management.

[0019] (3) The present application analyzes the fire disaster qualification index according to the flame duration ratio and the flame spread speed, breaks the deficiency that the flame authenticity is not confirmed by considering the flame duration and spread, so as to guarantee the effectiveness and accuracy of fire early warning, and further reduce the waste of resources.

[0020] (4) When analyzing the fire hazard qualification index of each monitoring point, the present application improves the accuracy of fire hazard qualification index analysis by analyzing the distance influence factor of each monitoring point, so as to improve the response efficiency of early warning response. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

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

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

[0024] Figure 3 It is a schematic diagram of connection of the analysis steps of the fire disaster qualification index of each monitoring area of the present application. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0026] Please refer to Figure 1As shown, the application provides a multi-scene intelligent camera patrol analysis management system for regional security and fire protection, which comprises 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 connected with the regional security analysis module and the regional fire analysis module, the regional security analysis module is connected with the regional security monitoring module and the regional early warning confirmation module, the regional hidden danger analysis module is connected with the regional fire monitoring module and the regional early warning confirmation module, the regional fire analysis module is connected with the regional fire monitoring module and the regional early warning confirmation module, and the regional early warning confirmation module is further connected with the regional early warning management terminal.

[0028] The regional information recording module is used to divide the region for intelligent camera patrol into each monitoring region and record the initial information of the articles in each monitoring region and set the flame duration.

[0029] It should be added that the initial information of the articles in each monitoring region includes the number of articles in each monitoring region and the initial position coordinates of each article in each monitoring region.

[0030] The regional security monitoring module is used to monitor the security information of each monitoring region, and the security information includes article state information and article position information.

[0031] It should be added that the article state information of each monitoring region includes the number of scratches of each article in each monitoring region, the length of each scratch, and the number of damaged places of each article and the area of each damaged place.

[0032] It should be added that the number of scratches of each article in each monitoring region and the length of each scratch are obtained by: collecting the surface image of the article through the high-resolution image sensor installed on the intelligent camera patrol device, and then detecting the number of scratches of each article and the length of each scratch by using the image processing algorithm.

[0033] It should be added that the number of damaged places of each article in each monitoring region and the area of each damaged place are obtained by: collecting the surface image of the article through the high-resolution image sensor installed on the intelligent camera patrol device, and then identifying the edge of the damaged place through the edge detection algorithm, calculating the number of pixels on the edge, and determining the length of the damaged place in combination with the known image scale, so as to obtain the number of damaged places of each article and the area of each damaged place.

[0034] It should be added that the article position information of each monitoring region includes the monitoring position coordinates of each article in each monitoring region.

[0035] It should be noted that the way of obtaining the coordinates of each article monitoring position in each monitoring area is as follows: the image of the monitoring area is collected by the depth camera installed on the intelligent camera patrol device, so as to match the feature points and extract each feature point in the image, and then match each feature point in the image with each feature point of each known position area, so as to obtain the contour of each article in each monitoring area, and take the center point of the contour of each article in each monitoring area as the coordinates of each article monitoring position in each monitoring area.

[0036] The area security analysis module is configured to analyze the security qualified index of each monitoring area according to the security information of each monitoring area.

[0037] Please refer to Figure 2 The analysis of the security qualified index of each monitoring area includes the following steps: E1, according to the article state information of each monitoring area, the article state qualified index of each monitoring area is calculated. w w is the monitoring area number, w = 1, 2, …, y.

[0038] Further, the calculation of the article state qualified index of each monitoring area includes the following steps: E1-1, the number of scratches and the length of each scratch of each article in each monitoring area are extracted from the article state information of each monitoring area, and then the maximum scratch length of each article is selected from the length of each scratch of each article in a certain monitoring area, which is denoted as L i , and the average scratch length of each article is calculated by averaging the length of each scratch of each article, which is denoted as L i ', i is the article number of the monitoring area, i = 1, 2, …, m.

[0039] E1-2, the number of scratches of each article in the monitoring area is denoted as D i .

[0040] E1-3, the scratch qualified index of each article in the monitoring area is calculated. i D' and L" are the reference number of permitted scratches and the reference length of permitted scratches, respectively.

[0041] It should be noted that D' and L" are obtained from the specification table of multi-scene intelligent camera patrol analysis and management technology of area security and fire protection.

[0042] E1-4, if the scratch qualified index of an article is less than the reference scratch qualified index, the article is recorded as a scratch qualified article, and the number of scratch qualified articles in the monitoring area is counted.

[0043] ​E1-5, extracting the number of articles in the monitoring area from the initial information of the articles in the monitoring area, and then taking the ratio of the number of articles with scratch qualification to the number of articles as the article scratch qualification index of the monitoring area, denoted as γ1.

[0044] E1-6, extracting the number of damage places and the area of each damage place of each article in the monitoring area from the article state information of each monitoring area, and then obtaining the article damage qualification index of the monitoring area in the same statistical manner as γ1, and denoted as γ2.

[0045] E1-7, screening the minimum value from γ1 and γ2 as the article state qualification index of the monitoring area, and then obtaining the article state qualification index of each monitoring area, and denoted as φ w .

[0046] E2, according to the article position information of each monitoring area, the article position qualification index of each monitoring area is counted

[0047] Further, the article position qualification index of each monitoring area is counted, including: E2-1, extracting the monitoring position coordinates of each article in each monitoring area from the article position information of each monitoring area.

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

[0049] E2-3, the initial position coordinates of each article in the monitoring area are extracted from the initial information of the articles in the monitoring area, and denoted as (x i ′,y i ′,z i ′).

[0050] E2-4, the position overall deviation d i ,

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

[0052] E2-5, the position deviation qualification index η i , d′ is the set reference allowable position overall deviation.

[0053] E2-6, if the position deviation qualified index of an article in the monitoring area is greater than the set reference position deviation qualified index, the article is recorded as a position qualified article, the number of position qualified articles is counted, and the ratio of the number of position qualified articles to the number of articles in the monitoring area is taken as the article position qualified index of the monitoring area, and then the article position qualified indexes of the monitoring areas are obtained, denoted as

[0054] E3, the security qualified index δ of each monitoring area is counted w , u1 and u2 are the weights of the set article state qualified index and article position qualified index respectively, u1+u2=1, and u1>u2.

[0055] It should be added that the scratches and damage of the article may affect its structural integrity and safety in use, for example, for some key mechanical equipment, if the key components have scratches or damage, it may cause the equipment to malfunction during operation, and even cause safety accidents, while the position deviation of the article itself does not directly bring major safety risks, and the probability of causing safety accidents by the position deviation of the article is relatively small compared with the scratches and damage of the article, therefore u1>u2 is set, in order to facilitate analysis, u1 can be specifically taken as 0.6, and u2 can be specifically taken as 0.4.

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

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

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

[0059] The area hidden danger analysis module is used for analyzing the fire hidden danger qualified index of each monitoring area according to the fire hidden danger information of each monitoring area.

[0060] Exemplarily, the analysis of the fire hidden danger qualified index of each monitoring area includes extracting the temperature of each monitoring area at each monitoring time point in each monitoring point from the fire hidden danger information of each monitoring area.

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

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

[0063] Further, the statistics of the temperature change rate of each monitoring point in the monitoring area comprises: combining each monitoring time point and its adjacent next monitoring time point in each monitoring point in the monitoring area two by two to obtain each monitoring time group of each monitoring point in the monitoring area.

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

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

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

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

[0068] The distance influence factor theta of each monitoring point is counted j , l' is the set reference equipment safety distance.

[0069] It should be noted that l' is extracted from the multi-scene intelligent camera patrol analysis management technical specification table of regional security and fire fighting.

[0070] The fire-fighting hidden danger qualified index of each monitoring point is counted C' and are the set reference temperature and temperature change rate, respectively.

[0071] It should be noted that C' and are extracted from the multi-scene intelligent camera patrol analysis management technical specification table of regional security and fire fighting.

[0072] When the fire-fighting hidden danger qualified index of each monitoring point is analyzed, the distance influence factor of each monitoring point is analyzed, the accuracy of the fire-fighting hidden danger qualified index analysis is improved, and the response efficiency of the early warning response is improved.

[0073] The maximum value is selected from as the fire-fighting hidden danger qualified index of the monitoring area, and the fire-fighting hidden danger qualified index of each monitoring area is obtained.

[0074] The regional fire monitoring module is configured to monitor fire information of each monitoring region.

[0075] It should be noted that the fire information of each monitoring region includes distances between each monitoring point and its adjacent equipment, the number of flames in each monitoring region, and monitoring videos.

[0076] It should be noted that the distances between each monitoring point and its adjacent equipment in each monitoring region are monitored by a laser range finder.

[0077] It should be noted that the number of flames in each monitoring region is obtained by a depth camera installed on the intelligent patrol equipment to capture pictures of the monitoring region, and if a flame feature is detected in a captured picture, a specific flame recognition algorithm is used to determine whether the flame feature is an effective flame, and if the flame feature is an effective flame, the position of the effective flame is extracted from the captured picture, and pictures of the effective flame position in a set monitoring time are extracted, and if there is an effective flame in the pictures of the effective flame position in the set monitoring time, the effective flame is recorded as an actual flame, and the number of actual flames in each monitoring region is counted and used as the number of flames in each monitoring region.

[0078] It should be noted that the monitoring videos of each monitoring region are monitored by a camera installed on the intelligent camera patrol equipment.

[0079] The regional fire analysis module is configured to analyze a fire disaster qualified index of each monitoring region according to the fire disaster information of each monitoring region.

[0080] Referring to Figure 3 The analysis of the fire disaster qualified index of each monitoring region includes G1, extracting the number of flames in each monitoring region from the fire disaster information of each monitoring region, and if the number of flames in a monitoring region is 0, the fire disaster qualified index of the monitoring region is recorded as 1.

[0081] G2, if the number of flames in a monitoring region is not 0, the monitoring video of the monitoring region is extracted from the fire disaster information of each monitoring region, and the fire disaster qualified index of the monitoring region is counted, and thus the fire disaster qualified index of each monitoring region is obtained.

[0082] Further, the counting of the fire disaster qualified index of the monitoring region includes G2-1, extracting a time length between a flame appearance monitoring time point and a current monitoring time point from the monitoring video of the monitoring region as a current flame duration of the monitoring region, and recording the current flame duration as T.

[0083] G2-2, extract the set flame duration of the monitoring area from the set flame duration of each monitoring area, denoted as T'.

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

[0085] G2-4, count the flame spread speed V of the monitoring area according to the monitoring video of the monitoring area.

[0086] Further, the counting of the flame spread speed of the monitoring area comprises: G2-4-1, extract the flame appearance monitoring time point and the current monitoring time point from the monitoring video of the monitoring area, and then obtain the flame monitoring duration of the monitoring area, denoted as ΔT.

[0087] G2-4-2, extract the current flame area from the monitoring video of the monitoring area, denoted as S.

[0088] G2-4-3, count the flame spread speed V of the monitoring area,

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

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

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

[0092] If the current flame area is S=20 square meters, the flame spread speed of the monitoring area is square meters per minute, where 60 is the conversion from seconds to minutes.

[0093] G2-5, count the fire safety qualified index ψ of the monitoring area, K' and V' are the set reference flame duration ratio and flame spread speed, and e is the natural constant.

[0094] It should be noted that K' and V' are extracted from the regional security, fire safety, multi-scene intelligent camera patrol analysis and management technical specification table.

[0095] The embodiment of the present application breaks the deficiency that the current does not consider the duration and spreading of the flame to confirm the authenticity of the flame, thereby guaranteeing the effectiveness and accuracy of the fire warning, and further reducing the waste of resources.

[0096] The regional warning confirmation module is configured to confirm each warning item of each monitoring region according to the security and protection qualified index, the fire hidden danger qualified index and the fire disaster qualified index of each monitoring region.

[0097] The embodiment of the present application breaks the deficiency that the current does not consider the duration and spreading of the flame to confirm the authenticity of the flame, thereby guaranteeing the effectiveness and accuracy of the fire warning, and further reducing the waste of resources.

[0098] Illustratively, the confirming each warning item of each monitoring region comprises: extracting the security and protection qualified index, the fire hidden danger qualified index and the fire disaster qualified index of each monitoring region.

[0099] If the security and protection qualified index of a certain monitoring region is less than the set reference security and protection qualified index, the security and protection warning is taken as the warning item of the monitoring region.

[0100] If the fire hidden danger qualified index of a certain monitoring region is less than the set reference fire hidden danger qualified index, the fire hidden danger warning is taken as the warning item of the monitoring region.

[0101] If the fire disaster qualified index of a certain monitoring region is less than the set reference fire disaster qualified index, the fire disaster is taken as the warning item of the monitoring region, so as to obtain each warning item of each monitoring region.

[0102] The embodiment of the present application breaks the deficiency that the current does not consider the duration and spreading of the flame to confirm the authenticity of the flame, thereby guaranteeing the effectiveness and accuracy of the fire warning, and further reducing the waste of resources.

[0103] The regional warning management terminal is configured to perform corresponding warning management according to each warning item of each monitoring region.

[0104] The above content is only an example and description of the concept of the present application, and those skilled in the art can make various modifications or supplements or use similar ways to replace the described specific embodiments, as long as they do not deviate from the concept of the present application or exceed the scope defined by the present application, which shall belong to the protection scope of the present application.

Claims

1. A multi-scene intelligent camera patrol analysis management system for regional security, fire protection, characterized in that: The system comprises: The regional information recording module is used for dividing the region for intelligent camera patrol into monitoring regions and recording initial information of articles and setting fire duration of each monitoring region; The regional security monitoring module is used for monitoring security information of each monitoring region, and the security information comprises article state information and article position information; The regional security analysis module is used for analyzing security qualification indexes of each monitoring region according to the security information of each monitoring region; The regional hidden danger monitoring module is used for monitoring fire hidden danger information of each monitoring region; The regional hidden danger analysis module is used for analyzing fire hidden danger qualification indexes of each monitoring region according to the fire hidden danger information of each monitoring region; The regional fire monitoring module is used for monitoring fire disaster information of each monitoring region; The regional fire analysis module is used for analyzing fire disaster qualification indexes of each monitoring region according to the fire disaster information of each monitoring region; The regional early warning confirmation module is used for confirming each early warning item of each monitoring region according to the security qualification indexes, the fire hidden danger qualification indexes and the fire disaster qualification indexes of each monitoring region; The regional early warning management terminal is used for performing corresponding early warning management according to each early warning item of each monitoring region; The article state information of each monitoring region comprises: the number of scratches, the length of each scratch, the number of damaged places and the area of each damaged place of each article in each monitoring region; and the article position information of each monitoring region comprises: monitoring position coordinates of each article in each monitoring region; The analysis of the fire hidden danger qualification indexes of each monitoring region comprises: extracting temperatures of each monitoring time point of each monitoring point in each monitoring region from the fire hidden danger information of each monitoring region; The maximum temperature of each monitoring point is screened out from the temperature of each monitoring point at each monitoring time point in a certain monitoring area, and is recorded as , is the number of monitoring points, ; According to the temperature of each monitoring point in each monitoring time point in a certain monitoring area, 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 fighting information of each monitoring area, and is recorded as ; Statistical distance influence factor of each monitoring point , , Set the reference device safety distance; Statistics of fire-fighting hidden danger qualified index of each monitoring point , , and are respectively set reference temperature and temperature change rate; from The maximum value is selected as the fire hazard compliance index for the monitoring area, and then the fire hazard compliance index for each monitoring area is obtained.

2. The multi-scene intelligent camera patrol analysis management system for regional security and fire prevention according to claim 1, characterized in that: The analysis of the security qualification indexes of each monitoring region comprises: E1, according to the article state information of each monitoring area, statistics the article state qualified index of each monitoring area , is the monitoring area number, ; E2、According to the article position information of each monitoring area, the article position qualified index of each monitoring area is counted ; E3, statistics of the security qualified index of each monitoring area , , and are the weights of the set article state qualified index and the article position qualified index, respectively, , .

3. The multi-scene intelligent camera patrolling analysis management system for regional security and fire prevention according to claim 1, characterized in that: The statistics of the article state qualification indexes of each monitoring region comprises: The number of scratches and the length of each scratch of each article in each monitoring area are extracted from the article state information of each monitoring area, and the maximum scratch length of each article is screened from the length of each scratch of each article in a certain monitoring area, denoted as The length of each scratch of each article is averaged to obtain the average scratch length of each article, denoted as , is the article number of the monitoring area, ; The number of scratches of each article in the monitoring area is recorded as ; Statistically monitor the scratch pass index of each article in the monitoring area , , and are the set reference number of allowable scratches and the set reference length of allowable scratches, respectively if the scratch qualification index of an article is less than a set reference scratch qualification index, the article is recorded as a scratch qualified article, and the number of scratch qualified articles in the monitoring region is counted; The number of articles in each monitoring area is extracted from the initial information of the articles in the monitoring area, and then the ratio of the number of articles with qualified scratches in the monitoring area to the number of articles is taken as the article scratch qualification index of the monitoring area, denoted as ; The number of damaged parts and the area of each damaged part of each article in the monitoring area are extracted from the article state information of each monitoring area, and then the article damage qualified index of the monitoring area is statistically obtained according to the statistical method of , and is recorded as ; from and The minimum value is selected as the item condition compliance index for that monitoring area, and the item condition compliance index for each monitoring area is obtained and recorded as follows. .

4. The multi-scene intelligent camera patrolling analysis management system for regional security and fire prevention according to claim 1, characterized in that: The statistics of the article position qualification indexes of each monitoring region comprises: extracting monitoring position coordinates of each article in each monitoring region from the article position information of each monitoring region; The monitoring position coordinates of each article in a certain monitoring area are recorded as ; The initial position coordinates of each article in the monitoring area are extracted from the initial information of the articles in the monitoring area, and are recorded as ; statistically determining a total deviation of the positions of the items in the monitored area , ; statistically determining a position deviation qualification index of each article in the monitoring area , , a total deviation of the reference position for setting a reference If the position deviation qualification index of an article in the monitoring area is greater than the set reference position deviation qualification index, the article is recorded as a position qualified article, the number of position qualified articles in the monitoring area is counted, and the ratio of the number of position qualified articles to the number of articles in the monitoring area is taken as the article position qualification index of the monitoring area, and then the article position qualification indexes of the monitoring areas are obtained, denoted as .

5. The multi-scene intelligent camera patrolling analysis management system for regional security and fire prevention according to claim 1, characterized in that: The statistics of the temperature change rate of each monitoring point in the monitoring region comprises: combining each monitoring time point and its adjacent next monitoring time point in each monitoring point in the monitoring region in pairs to obtain each monitoring time group of each monitoring point in the monitoring region; differencing the temperature and time of two monitoring time points in each monitoring time group of each monitoring point to obtain the temperature difference and interval duration of each monitoring time group of each monitoring point; ratioing the temperature difference and interval duration of each monitoring time group of each monitoring point to obtain the temperature change rate of each monitoring time group of each monitoring point; The maximum value is selected from the temperature change rates of each monitoring time group in each monitoring point as the temperature change rate of each monitoring point in the monitoring area, denoted as .

6. The multi-scene intelligent camera patrolling analysis management system for regional security and fire prevention according to claim 1, characterized in that: The analysis of the fire disaster qualification indexes of each monitoring region comprises: G1, extracting the number of flames of each monitoring region from the fire disaster information of each monitoring region, if the number of flames of a monitoring region is 0, the fire disaster qualification index of the monitoring region is recorded as 1; G2, if the number of the fire in a monitoring area is not 0, extracting the monitoring video of the monitoring area from the fire-fighting fire information of each monitoring area, and then counting the fire-fighting fire qualified index of the monitoring area , thereby obtaining the fire-fighting fire qualified index of each monitoring area.

7. The multi-scene intelligent camera patrol analysis management system for regional security and fire prevention according to claim 6, characterized in that: The statistics of the fire disaster qualification indexes of the monitoring region comprises: extracting, from the monitoring video of the monitoring area, a time length between the fire occurrence monitoring time point and the current monitoring time point as a current fire duration of the monitoring area, denoted as ; extracting the set flame duration of the monitoring area from the set flame duration of the monitoring area, denoted as ; Statistical duration of the flame ratio , ; According to the monitoring video of the monitoring area, the flame propagation speed of the monitoring area is counted ; statistically monitoring the fire-fighting eligibility index of the monitoring area , , and are the set reference flame duration ratio and flame spread speed, respectively, is a natural constant.

8. The multi-scene intelligent camera patrol analysis management system for regional security and fire prevention according to claim 7, characterized in that: The statistics of the flame spread speed of the monitoring region comprises: extracting a flame appearance monitoring time point and a current monitoring time point from the monitoring video of the monitoring area, and then obtaining a flame monitoring time length of the monitoring area, and denoted as ; The current flame area is extracted from the monitoring video of the monitoring area and recorded as ; statistically determining the rate of spread of the fire in the monitored area , .

9. The multi-scene intelligent camera patrol analysis management system for regional security and fire prevention according to claim 8, characterized in that: The confirming each early warning item of each monitoring area comprises: extracting the security qualified index, the fire hidden danger qualified index and the fire disaster qualified index of each monitoring area; if the security qualified index of a monitoring area is less than the set reference security qualified index, the security early warning is taken as the early warning item of the monitoring area; if the fire hidden danger qualified index of a monitoring area is less than the set reference fire hidden danger qualified index, the fire hidden danger early warning is taken as the early warning item of the monitoring area; if the fire disaster qualified index of a monitoring area is less than the set reference fire disaster qualified index, the fire disaster is taken as the early warning item of the monitoring area, so as to obtain each early warning item of each monitoring area.

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