An intelligent monitoring system based on the Internet of Things

Abstract

The invention relates to the field of intelligent monitoring, and specifically discloses an intelligent monitoring system based on the Internet of Things. The invention divides the area in a target cultural relic exhibition hall, analyzes the number of cameras installed in each public sub-area and each cultural relic display sub-area and the installation position of each camera, and saves costs under the premise of ensuring full coverage of the monitoring range; obtains the personnel touch risk coefficient and the placement position offset coefficient of each cultural relic in each cultural relic display sub-area within the monitoring time period, analyzes and obtains the cultural relic danger index of each cultural relic display sub-area within the monitoring time period, and then warns; obtains the recommended coefficient of each route for each security personnel to each abnormal cultural relic display sub-area, screens and obtains the security personnel and the suitable dispatching route for each abnormal cultural relic display sub-area, and performs corresponding processing, so as to realize all-round, systematic, intelligent and high-efficiency monitoring of the cultural relic exhibition hall, and provide guarantee for the safety of cultural relics.

Description

Technical Field

[0001] The present invention relates to the field of intelligent monitoring, and in particular to an intelligent monitoring system based on the Internet of Things. Background Art

[0002] With the rapid development of science and information technology, intelligent monitoring is applied to various industries and fields. A large number of precious cultural relics are placed in key cultural relics exhibition halls, which also attract a large number of tourists to visit. As a result, there are hidden dangers in the safety of cultural relics. Therefore, it is necessary to monitor cultural relics exhibition halls, especially during the time when tourists visit, and the monitoring efforts need to be increased.

[0003] However, the existing monitoring methods have some drawbacks: on the one hand, there is a lack of in-depth research on the number and layout of surveillance cameras in cultural relics exhibition halls. The appropriate number and layout of cameras are not analyzed based on the spatial environment characteristics of cultural relics exhibition halls and the characteristics of the placement of cultural relics. If the number of cameras is too small, there will be blind spots in monitoring, and if the number of cameras is too large, it will cause a waste of resources.

[0004] On the one hand, when monitoring the safety of cultural relics, we often only consider the behavior of tourists damaging cultural relics, and most of them are dealt with afterwards. In addition to the behavior of tourists, the factors that affect the safety of cultural relics also include the position deviation of the cultural relics themselves. It is necessary to consider the safety of cultural relics based on a comprehensive range of indicators. At the same time, it is necessary to predict and intervene in the risks of cultural relics in advance to minimize the loss of cultural relics.

[0005] On the other hand, when the safety of cultural relics is threatened, security personnel need to be dispatched in a timely manner to deal with it, which involves the selection of dispatched personnel and the planning of routes. Most existing monitoring methods adopt the principle of the shortest route and do not take into account the impact of human flow, resulting in deviations in the selection results, delaying the processing time and increasing the risk of damage to cultural relics. Summary of the invention

[0006] In view of the above problems, the present invention proposes an intelligent monitoring system based on the Internet of Things to realize the intelligent monitoring function of the cultural relics exhibition hall.

[0007] The technical solution adopted by the present invention to solve its technical problem is: the present invention provides an intelligent monitoring system based on the Internet of Things, including: a target cultural relics exhibition hall area division module: used to divide the area in the target cultural relics exhibition hall to obtain public sub-areas and cultural relics display sub-areas.

[0008] Surveillance camera deployment module: used to obtain the number of cameras installed in each public sub-area and each cultural relic display sub-area, and obtain the installation position of each camera in each public sub-area and each cultural relic display sub-area.

[0009] Cultural relics display area video analysis module: used to obtain the surveillance video of each camera in each cultural relics display sub-area during the monitoring period, and analyze the human touch risk coefficient and placement position offset coefficient of each cultural relic in each cultural relic display sub-area during the monitoring period.

[0010] Cultural relics display area early warning prompt module: It is used to analyze the cultural relics hazard index of each cultural relic display sub-area during the monitoring period according to the personnel touch risk coefficient and placement position deviation coefficient of each cultural relic in each cultural relic display sub-area during the monitoring period, further obtain each abnormal cultural relic display sub-area, and issue an early warning.

[0011] Security personnel dispatch processing module: used to obtain the routes of each security personnel in the target cultural relics exhibition hall to each abnormal cultural relics display sub-area, analyze the recommendation coefficients of each security personnel's routes to each abnormal cultural relics display sub-area, screen out suitable security personnel and suitable dispatch routes for each abnormal cultural relics display sub-area, and perform corresponding processing.

[0012] Database: used to store the focal length of the camera lens corresponding to the shooting distance range of each camera and the illumination width corresponding to the focal length of each camera lens in each shooting distance range, and store the vulnerable areas and initial placement images of each cultural relic in the target cultural relic exhibition hall.

[0013] On the basis of the above-mentioned embodiment, the specific analysis process of the target cultural relics exhibition hall area division module is as follows: obtain the area within the target cultural relics exhibition hall, divide the area within the target cultural relics exhibition hall according to the functional attributes of the public area and the cultural relics display area, and obtain the public area and cultural relics display area within the target cultural relics exhibition hall; divide the public area and cultural relics display area within the target cultural relics exhibition hall according to the preset division principles, and obtain each public sub-area and each cultural relics display sub-area.

[0014] Based on the above embodiments, the specific analysis process of the surveillance camera deployment module includes: obtaining real-life images of each common sub-area at various angles through a high-definition camera, constructing a spatial model of each common sub-area, and establishing a three-dimensional coordinate system in each common sub-area according to preset principles.

[0015] Get the net height of each common sub-area and record it as i represents the number of the i-th common sub-region, i=1,2,...,n, through the analysis formula Get the appropriate installation height of the camera in each public sub-area Where β1 represents the correction factor of the suitable camera installation height in the preset common sub-area, and Δh represents the preset camera installation space height margin.

[0016] Obtain each corner in each common sub-area, further obtain each corner vertical line in each common sub-area, mark corresponding points on each corner vertical line in each common sub-area according to the appropriate installation height of the camera in each common sub-area, record them as reference datum points in each common sub-area, use the number of reference datum points in each common sub-area as the number of first cameras in each common sub-area, and use the position of each reference datum point in each common sub-area as the installation position of each first camera in each common sub-area.

[0017] Get the spatial center point corresponding to each common sub-region, further get the coordinates of each reference point in each common sub-region and the spatial center point corresponding to its common sub-region in the three-dimensional coordinate system, and get the distance between each reference point in each common sub-region and the spatial center point corresponding to its common sub-region, which is recorded as a represents the number of the ath reference point in the common sub-area, a=1, 2, ..., b.

[0018] The distance between each reference point in each common sub-region and the corresponding spatial center point of the common sub-region is recorded as the required shooting distance of each first camera in each common sub-region. Further analysis is performed to obtain the illumination width corresponding to each first camera in each common sub-region, which is recorded as

[0019] Connect the reference points in each common sub-region in sequence to obtain the reference line segments in each common sub-region, and obtain the length of each reference line segment in each common sub-region, which is recorded as c represents the number of the c-th reference baseline segment, c=1, 2, ..., f.

[0020] According to the length of each reference baseline segment in each common sub-area and the illumination width corresponding to each first camera, the camera supplementation requirement coefficient of each reference baseline segment in each common sub-area is analyzed and obtained.

[0021] According to the camera supplementation demand coefficient of each reference reference line segment in each common sub-area, each reference reference line segment that needs to add a camera is obtained and recorded as each target reference reference line segment.

[0022] According to the camera supplement demand coefficient of each reference baseline segment in each public sub-area, the camera supplement demand coefficient of each target reference baseline segment in each public sub-area is screened and obtained, and the number of additional cameras corresponding to each target reference baseline segment is further analyzed.

[0023] According to the number of additional cameras corresponding to each target reference datum line segment in each public sub-area, the installation position of each additional camera in each target reference datum line segment in each public sub-area is analyzed and obtained.

[0024] The number of additional cameras corresponding to each target reference baseline segment in each common sub-area is accumulated to obtain the total number of additional cameras for the target reference baseline segment in each common sub-area, which is recorded as the number of second cameras in each common sub-area. According to the installation position of each camera added to each target reference baseline segment in each common sub-area, the installation position of each second camera in each common sub-area is obtained.

[0025] The number of first cameras and the number of second cameras in each public sub-area are added together to obtain the number of cameras installed in each public sub-area. According to the installation position of each first camera and the installation position of each second camera in each public sub-area, the installation position of each camera in each public sub-area is obtained.

[0026] On the basis of the above-mentioned embodiment, the specific analysis process of the surveillance camera deployment module further includes: obtaining the appropriate installation height of the camera in each cultural relic display sub-area, and recording it as j represents the number of the jth cultural relic display sub-area, j=1,2,...,m, the geometric center point of each cultural relic in each cultural relic display sub-area is obtained, and according to the geometric center point of each cultural relic in each cultural relic display sub-area, a mathematical model establishment method is used to obtain the spatial surface formed by the geometric center points of each cultural relic in each cultural relic display sub-area, which is recorded as the cultural relic spatial distribution surface of each cultural relic display sub-area, and the center point of the cultural relic spatial distribution surface in the cultural relic display sub-area is recorded as the spatial center point corresponding to the cultural relic display sub-area, thereby obtaining the spatial center point corresponding to each cultural relic display sub-area.

[0027] Similarly, according to the analysis method of the number of cameras installed in each public sub-area and the installation position of each camera in each public sub-area, the number of cameras installed in each cultural relic display sub-area and the installation position of each camera in each cultural relic display sub-area are obtained.

[0028] On the basis of the above-mentioned embodiments, the specific analysis process of the video analysis module of the cultural relics display area includes: setting the duration of the monitoring time period, obtaining the surveillance video of each camera in each cultural relics display sub-area within the monitoring time period, and further obtaining the surveillance video segment of each cultural relic in the surveillance video of each camera in each cultural relics display sub-area within the monitoring time period, comparing the surveillance video segments of each cultural relic in the surveillance video of each camera in each cultural relics display sub-area within the monitoring time period, classifying the surveillance video segments of the same cultural relics, and constructing a set of surveillance video segments of each cultural relic in each cultural relics display sub-area within the monitoring time period.

[0029] According to the surveillance video segment set of each cultural relic in each cultural relic display sub-area during the monitoring period, the distance and touch area of ​​each person's touch action in each cultural relic in each cultural relic display sub-area during the monitoring period are analyzed and recorded as and p represents the number of the p-th cultural relic in the cultural relic display sub-area, p=1, 2, ..., q, and u represents the number of the u-th human touch action, u=1, 2, ..., v.

[0030] Extract the vulnerable areas of each cultural relic in the target cultural relic exhibition hall stored in the database, screen out the vulnerable areas of each cultural relic in each cultural relic display sub-area, compare the touch areas of each human touch action in each cultural relic in each cultural relic display sub-area within the monitoring time period with the vulnerable areas of the cultural relic, obtain the overlapping areas of the touch areas of each human touch action in each cultural relic in each cultural relic display sub-area within the monitoring time period and the vulnerable areas of the cultural relic, and record them as the marked touch areas of each human touch action in each cultural relic in each cultural relic display sub-area within the monitoring time period, obtain the marked touch area area of ​​each human touch action in each cultural relic in each cultural relic display sub-area within the monitoring time period, and record them as

[0031] By analyzing the formula Get the risk coefficient ε of human contact for each cultural relic in each cultural relic display sub-area during the monitoring period jp ,in Indicates the preset personnel touch risk coefficient correction factor, l 设 、s 设 They respectively represent the preset distance threshold and touch area threshold of the human touch action, and φ1 and φ2 respectively represent the preset weight factors of the distance and touch area of ​​the human touch action.

[0032] On the basis of the above-mentioned embodiment, the specific analysis process of the video analysis module of the cultural relics display area also includes: setting each sampling time point within the monitoring time period according to the principle of equal time intervals, obtaining the three-dimensional outline of each cultural relic in each cultural relic display sub-area at each sampling time point within the monitoring time period and the initial placement three-dimensional outline of each cultural relic in each cultural relic display sub-area.

[0033] Further analysis is performed to obtain the overlap of the placement of each cultural relic in each cultural relic display sub-area during the monitoring period, which is expressed as γ jp .

[0034] By analyzing the formula Get the placement position offset coefficient η of each cultural relic in each cultural relic display sub-area during the monitoring period jp , where κ represents the preset placement position offset coefficient correction factor, e represents the natural constant, and γ0 represents the preset placement position overlap threshold.

[0035] On the basis of the above-mentioned embodiment, the specific analysis process of the early warning prompt module for the cultural relics display area is as follows: the risk coefficient ε of human contact of each cultural relic in each cultural relic display sub-area during the monitoring period is calculated.jp and placement position offset coefficient η jp Substitute into the formula Get the cultural relic danger index λ of each cultural relic display sub-area during the monitoring period j , where μ1 and μ2 represent the weight factors of the preset personnel touch risk coefficient and placement position offset coefficient, respectively.

[0036] According to the cultural relic danger index of each cultural relic display sub-area during the monitoring period, each abnormal cultural relic display sub-area is obtained, and the number of each abnormal cultural relic display sub-area is sent to the security monitoring center of the target cultural relic exhibition hall, and an early warning is issued.

[0037] Based on the above embodiments, the specific analysis process of the security personnel dispatch processing module is: obtaining the location of each abnormal cultural relics display sub-area and the location of each security personnel in the target cultural relics exhibition hall, and obtaining the routes of each security personnel in the target cultural relics exhibition hall to each abnormal cultural relics display sub-area.

[0038] The length of each route taken by each security personnel to each abnormal cultural relics display sub-area and the total flow of people passing through the public area are obtained, and the recommendation coefficient of each route of each security personnel corresponding to each abnormal cultural relics display sub-area is obtained through analysis.

[0039] The recommended coefficients of each security personnel and each route corresponding to each abnormal cultural relics display sub-area are compared with each other, and the security personnel and route corresponding to the maximum recommended coefficient are recorded as the suitable security personnel and suitable dispatching routes of the abnormal cultural relics display sub-area. The suitable security personnel and suitable dispatching routes of each abnormal cultural relics display sub-area are statistically obtained and sent to the security monitoring center of the target cultural relics exhibition hall.

[0040] Compared with the prior art, the intelligent monitoring system based on the Internet of Things described in the present invention has the following beneficial effects: 1. The intelligent monitoring system based on the Internet of Things provided by the present invention saves costs while ensuring full coverage of the monitoring range by analyzing the number of cameras installed in each public sub-area and each cultural relic display sub-area and the installation position of each camera; obtains the cultural relic hazard index of each cultural relic display sub-area during the monitoring period, issues an early warning, and obtains the appropriate dispatch of security personnel and appropriate dispatch routes for each abnormal cultural relic display sub-area, thereby realizing all-round, systematic, intelligent and highly effective monitoring of cultural relics exhibition halls, and providing protection for the safety of cultural relics.

[0041] 2. The present invention analyzes the number of cameras installed in each public sub-area and each cultural relic display sub-area and the installation position of each camera through the spatial environment characteristics and cultural relic placement characteristics of the cultural relic exhibition hall, and tries to save costs and resources while ensuring full coverage of the monitoring range.

[0042] 3. The present invention obtains the human touch risk coefficient and placement position deviation coefficient of each cultural relic in each cultural relic display sub-area during the monitoring period, analyzes the cultural relic hazard index of each cultural relic display sub-area during the monitoring period, and comprehensively considers the safety of cultural relics based on various indicators. The safety monitoring of cultural relics is transformed from post-processing to pre-predictive intervention, thereby reducing the loss of cultural relics.

[0043] 4. The present invention obtains the recommended coefficients of each route for each security personnel to go to each abnormal cultural relics display sub-area, screens out suitable security personnel and suitable dispatch routes for each abnormal cultural relics display sub-area, and plans the shortest route based on the influence of route length and human flow, so as to prevent delays in processing time and provide protection for the safety of cultural relics. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] 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.

[0045] Figure 1 This is a system module connection diagram of the present invention.

[0046] Figure 2 The figure is a schematic diagram of the camera arrangement of the present invention.

[0047] Figure 3 It is a schematic diagram of camera illumination of the present invention. DETAILED DESCRIPTION

[0048] 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.

[0049] See also Figure 1 As shown, the present invention provides an intelligent monitoring system based on the Internet of Things, including a target cultural relics exhibition hall area division module, a monitoring camera deployment module, a cultural relics display area video analysis module, a cultural relics display area early warning prompt module, a security personnel dispatch processing module and a database.

[0050] The surveillance camera deployment module is respectively connected to the target cultural relics exhibition hall area division module and the cultural relics display area video analysis module, the cultural relics display area early warning prompt module is respectively connected to the cultural relics display area video analysis module and the security personnel dispatch processing module, and the database is respectively connected to the surveillance camera deployment module and the cultural relics display area video analysis module.

[0051] The target cultural relics exhibition hall area division module is used to divide the area in the target cultural relics exhibition hall to obtain various public sub-areas and various cultural relics display sub-areas.

[0052] Furthermore, the specific analysis process of the target cultural relics exhibition hall area division module is: obtain the area within the target cultural relics exhibition hall, divide the area within the target cultural relics exhibition hall according to the functional attributes of the public area and the cultural relics display area, and obtain the public area and cultural relics display area in the target cultural relics exhibition hall; divide the public area and cultural relics display area in the target cultural relics exhibition hall according to the preset division principles, and obtain each public sub-area and each cultural relics display sub-area.

[0053] As a preferred solution, the public area includes but is not limited to corridors and halls, and the cultural relics display area refers to the area where the cultural relics are placed.

[0054] As a preferred solution, the division principle may be to divide the public area and the cultural relics display area respectively by means of wall partitions.

[0055] The monitoring camera deployment module is used to obtain the number of cameras installed in each public sub-area and each cultural relic display sub-area, and to obtain the installation position of each camera in each public sub-area and each cultural relic display sub-area.

[0056] See also Figure 2 As shown, the specific analysis process of the surveillance camera deployment module includes: obtaining real-life images of each public sub-area at various angles through a high-definition camera, constructing a spatial model of each public sub-area, and establishing a three-dimensional coordinate system in each public sub-area according to preset principles.

[0057] Get the net height of each common sub-area and record it as i represents the number of the i-th common sub-region, i=1,2,...,n, through the analysis formula Get the appropriate installation height of the camera in each public sub-area Where β1 represents the correction factor of the suitable camera installation height in the preset common sub-area, and Δh represents the preset camera installation space height margin.

[0058] Obtain each corner in each common sub-area, further obtain each corner vertical line in each common sub-area, mark corresponding points on each corner vertical line in each common sub-area according to the appropriate installation height of the camera in each common sub-area, record them as reference datum points in each common sub-area, use the number of reference datum points in each common sub-area as the number of first cameras in each common sub-area, and use the position of each reference datum point in each common sub-area as the installation position of each first camera in each common sub-area.

[0059] Get the spatial center point corresponding to each common sub-region, further get the coordinates of each reference point in each common sub-region and the spatial center point corresponding to its common sub-region in the three-dimensional coordinate system, and get the distance between each reference point in each common sub-region and the spatial center point corresponding to its common sub-region, which is recorded as a represents the number of the ath reference point in the common sub-area, a=1, 2, ..., b.

[0060] See also Figure 3 As shown, the distance between each reference point in each common sub-region and the corresponding space center point of the common sub-region is recorded as the required shooting distance of each first camera in each common sub-region. Further analysis is performed to obtain the illumination width corresponding to each first camera in each common sub-region, which is recorded as

[0061] Connect the reference points in each common sub-region in sequence to obtain the reference line segments in each common sub-region, and obtain the length of each reference line segment in each common sub-region, which is recorded as c represents the number of the c-th reference baseline segment, c=1, 2, ..., f.

[0062] According to the length of each reference baseline segment in each common sub-area and the illumination width corresponding to each first camera, the camera supplementation requirement coefficient of each reference baseline segment in each common sub-area is analyzed and obtained.

[0063] According to the camera supplementation demand coefficient of each reference reference line segment in each common sub-area, each reference reference line segment that needs to add a camera is obtained and recorded as each target reference reference line segment.

[0064] According to the camera supplement demand coefficient of each reference baseline segment in each public sub-area, the camera supplement demand coefficient of each target reference baseline segment in each public sub-area is screened and obtained, and the number of additional cameras corresponding to each target reference baseline segment is further analyzed.

[0065] According to the number of additional cameras corresponding to each target reference datum line segment in each public sub-area, the installation position of each additional camera in each target reference datum line segment in each public sub-area is analyzed and obtained.

[0066] The number of additional cameras corresponding to each target reference baseline segment in each common sub-area is accumulated to obtain the total number of additional cameras for the target reference baseline segment in each common sub-area, which is recorded as the number of second cameras in each common sub-area. According to the installation position of each camera added to each target reference baseline segment in each common sub-area, the installation position of each second camera in each common sub-area is obtained.

[0067] The number of first cameras and the number of second cameras in each public sub-area are added together to obtain the number of cameras installed in each public sub-area. According to the installation position of each first camera and the installation position of each second camera in each public sub-area, the installation position of each camera in each public sub-area is obtained.

[0068] As a preferred solution, the net height of the space refers to the distance between the ceiling and the ground.

[0069] As a preferred solution, the distance between each reference point in each common sub-region and the corresponding space center point of the common sub-region is obtained by marking the coordinates of each reference point in each common sub-region in the three-dimensional coordinate system as a represents the number of the ath reference point in the common sub-region, a=1,2,...,b, and the coordinates of the spatial center points corresponding to each common sub-region in the three-dimensional coordinate system are marked as By analyzing the formula Get the distance between each reference point in each common sub-region and the corresponding spatial center point of its common sub-region

[0070] As a preferred scheme, the illumination width corresponding to each first camera in each common sub-area is specifically analyzed in the following process: extract the camera lens focal length corresponding to the shooting distance range of each camera stored in the database, screen and obtain the camera lens focal length corresponding to each first camera in each common sub-area according to the required shooting distance of each first camera in each common sub-area, extract the illumination width corresponding to the camera lens focal length in each shooting distance range stored in the database, and screen and obtain the illumination width corresponding to each first camera in each common sub-area according to the required shooting distance of each first camera in each common sub-area and its corresponding camera lens focal length.

[0071] As a preferred solution, the camera supplement demand coefficient of each reference baseline segment in each common sub-region is specifically analyzed by: recording the first cameras corresponding to the two endpoints of each reference baseline segment in each common sub-region as the matching first cameras at both ends of each reference baseline segment in each common sub-region, and screening the illumination widths of the matching first cameras at the two endpoints of each reference baseline segment in each common sub-region according to the illumination widths corresponding to the first cameras in each common sub-region, and recording them as Δg i ' c and Δg i ″ c , by analyzing the formula Get the camera supplement demand coefficient χ of each reference baseline segment in each common sub-area ic , where δ represents the correction factor of the preset camera supplement demand coefficient.

[0072] As a preferred solution, the method for obtaining each target reference baseline segment is as follows: comparing the camera supplement requirement coefficient of each reference baseline segment in each common sub-area with a preset camera supplement requirement coefficient threshold; if the camera supplement requirement coefficient of a reference baseline segment in a common sub-area is greater than the preset camera supplement requirement coefficient threshold, then the reference baseline segment in the common sub-area needs to add a camera, and the reference baseline segments that need to add a camera are recorded as target reference baseline segments.

[0073] As a preferred scheme, the specific analysis method for the number of additional cameras corresponding to each target reference baseline segment is as follows: subtract a preset camera supplementary demand coefficient threshold from the camera supplementary demand coefficient of each target reference baseline segment in each common sub-area to obtain the change in the camera supplementary demand coefficient of each target reference baseline segment in each common sub-area, compare the change in the camera supplementary demand coefficient of each target reference baseline segment in each common sub-area with the number of additional cameras corresponding to the preset range of the change in the camera supplementary demand coefficient, and screen out the number of additional cameras corresponding to each target reference baseline segment in each common sub-area.

[0074] As a preferred solution, the installation position of each camera added to each target reference baseline segment in each common sub-area is analyzed by: the number of additional cameras corresponding to each target reference baseline segment in each common sub-area is recorded as N ic , divide each target reference line segment in each common sub-area into N equal parts ic +1 equal part, and the positions of the equal-divided points on each target reference datum line segment in each common sub-area are used as the installation positions of each camera added to each target reference datum line segment in each common sub-area.

[0075] Furthermore, the specific analysis process of the surveillance camera deployment module also includes: obtaining the appropriate installation height of the camera in each cultural relic display sub-area, and recording it as j represents the number of the jth cultural relic display sub-area, j=1,2,...,m, the geometric center point of each cultural relic in each cultural relic display sub-area is obtained, and according to the geometric center point of each cultural relic in each cultural relic display sub-area, a mathematical model establishment method is used to obtain the spatial surface formed by the geometric center points of each cultural relic in each cultural relic display sub-area, which is recorded as the cultural relic spatial distribution surface of each cultural relic display sub-area, and the center point of the cultural relic spatial distribution surface in the cultural relic display sub-area is recorded as the spatial center point corresponding to the cultural relic display sub-area, thereby obtaining the spatial center point corresponding to each cultural relic display sub-area.

[0076] Similarly, according to the analysis method of the number of cameras installed in each public sub-area and the installation position of each camera in each public sub-area, the number of cameras installed in each cultural relic display sub-area and the installation position of each camera in each cultural relic display sub-area are obtained.

[0077] As a preferred solution, the process of obtaining the appropriate installation height of the camera in each cultural relic display sub-area is as follows: obtaining real-life images of each cultural relic display sub-area at various angles through a high-definition camera, constructing a spatial model of each cultural relic display sub-area, and establishing a three-dimensional coordinate system in each cultural relic display sub-area according to preset principles.

[0078] Get the net height of each cultural relic display sub-area and record it as j represents the number of the jth cultural relic display sub-area, j=1,2,...,m, and the distance between the highest point of the surface contour of each cultural relic in each cultural relic display sub-area and the ground is obtained, which is recorded as the height of each cultural relic in each cultural relic display sub-area, and the heights of each cultural relic in each cultural relic display sub-area are compared with each other to obtain the highest height and the lowest height of the cultural relic in each cultural relic display sub-area, and the average value of the highest height and the lowest height of the cultural relic in each cultural relic display sub-area is calculated to obtain the reference height of the cultural relics in each cultural relic display sub-area, which is expressed as

[0079] By analyzing the formula Get the appropriate installation height of the camera in each cultural relic display sub-area Where β2 represents the correction factor for the appropriate installation height of the camera in the preset cultural relics display sub-area.

[0080] It should be noted that the present invention analyzes the number of cameras installed in each public sub-area and each cultural relic display sub-area and the installation position of each camera through the spatial environment characteristics of the cultural relics exhibition hall and the placement characteristics of the cultural relics, so as to save costs and resources as much as possible while ensuring full coverage of the monitoring range.

[0081] The cultural relics display area video analysis module is used to obtain the surveillance video of each camera in each cultural relics display sub-area within the monitoring time period, and analyze to obtain the personnel touch risk coefficient and placement position offset coefficient of each cultural relic in each cultural relic display sub-area within the monitoring time period.

[0082] Furthermore, the specific analysis process of the cultural relics display area video analysis module includes: setting the duration of the monitoring time period, obtaining the surveillance video of each camera in each cultural relics display sub-area within the monitoring time period, further obtaining the surveillance video segment of each cultural relic in the surveillance video of each camera in each cultural relics display sub-area within the monitoring time period, comparing the surveillance video segments of each cultural relic in the surveillance video of each camera in each cultural relics display sub-area within the monitoring time period, classifying the surveillance video segments of the same cultural relics, and constructing a set of surveillance video segments of each cultural relic in each cultural relics display sub-area within the monitoring time period.

[0083] According to the surveillance video segment set of each cultural relic in each cultural relic display sub-area during the monitoring period, the distance and touch area of ​​each person's touch action in each cultural relic in each cultural relic display sub-area during the monitoring period are analyzed and recorded as and p represents the number of the p-th cultural relic in the cultural relic display sub-area, p=1, 2, ..., q, and u represents the number of the u-th human touch action, u=1, 2, ..., v.

[0084] Extract the vulnerable areas of each cultural relic in the target cultural relic exhibition hall stored in the database, screen out the vulnerable areas of each cultural relic in each cultural relic display sub-area, compare the touch areas of each human touch action in each cultural relic in each cultural relic display sub-area within the monitoring time period with the vulnerable areas of the cultural relic, obtain the overlapping areas of the touch areas of each human touch action in each cultural relic in each cultural relic display sub-area within the monitoring time period and the vulnerable areas of the cultural relic, and record them as the marked touch areas of each human touch action in each cultural relic in each cultural relic display sub-area within the monitoring time period, obtain the marked touch area area of ​​each human touch action in each cultural relic in each cultural relic display sub-area within the monitoring time period, and record them as

[0085] By analyzing the formula Get the risk coefficient ε of human contact for each cultural relic in each cultural relic display sub-area during the monitoring period jp ,in Indicates the preset personnel touch risk coefficient correction factor, l 设 、s 设 They respectively represent the preset distance threshold and touch area threshold of the human touch action, and φ1 and φ2 respectively represent the preset weight factors of the distance and touch area of ​​the human touch action.

[0086] As a preferred solution, the spacing and touch area of ​​each person's touch action in each cultural relic in each cultural relic display sub-area within the monitoring time period are specifically analyzed by the following method: according to the set of monitoring video segments of each cultural relic in each cultural relic display sub-area within the monitoring time period, a hand action video of each tourist visiting each cultural relic in each cultural relic display sub-area within the monitoring time period is obtained, and each hand action of each tourist visiting each cultural relic in each cultural relic display sub-area within the monitoring time period is obtained; each hand action of each tourist visiting each cultural relic in each cultural relic display sub-area within the monitoring time period is compared with a preset set of suspected cultural relic touching actions; if a hand action of a tourist visiting a certain cultural relic in a certain cultural relic display sub-area within the monitoring time period belongs to the preset set of suspected cultural relic touching actions, then the tourist is recorded as an abnormal tourist, and the hand action is recorded as a touch action; each touch action of each abnormal tourist in each cultural relic in each cultural relic display sub-area within the monitoring time period is statistically obtained, and each touch action of each abnormal tourist is accumulated to obtain each person's touch action in each cultural relic in each cultural relic display sub-area within the monitoring time period.

[0087] The minimum distance between the fingertips and the surface of the cultural relic in each human touch action in each cultural relic in each cultural relic display sub-area during the monitoring period is obtained, and recorded as the distance between each human touch action in each cultural relic in each cultural relic display sub-area during the monitoring period.

[0088] The area of ​​the area crossed by the palm in each human touch action in each cultural relic in each cultural relic display sub-area during the monitoring period is obtained, and recorded as the touch area area of ​​each human touch action in each cultural relic in each cultural relic display sub-area.

[0089] Furthermore, the specific analysis process of the cultural relics display area video analysis module also includes: setting each sampling time point within the monitoring time period according to the principle of equal time intervals, obtaining the three-dimensional outline of each cultural relic in each cultural relic display sub-area at each sampling time point within the monitoring time period and the initial placement three-dimensional outline of each cultural relic in each cultural relic display sub-area.

[0090] Further analysis is performed to obtain the overlap of the placement of each cultural relic in each cultural relic display sub-area during the monitoring period, which is expressed as γ jp .

[0091] By analyzing the formula Get the placement position offset coefficient η of each cultural relic in each cultural relic display sub-area during the monitoring period jp , where κ represents the preset placement position offset coefficient correction factor, e represents the natural constant, and γ0 represents the preset placement position overlap threshold.

[0092] As a preferred solution, the three-dimensional outline of each cultural relic in each cultural relic display sub-area at each sampling time point within the monitoring time period and the initial placement three-dimensional outline of each cultural relic in each cultural relic display sub-area are obtained. The specific process is: extracting the initial placement images of each cultural relic in the target cultural relic exhibition hall stored in the database, screening to obtain the initial placement images of each cultural relic in each cultural relic display sub-area, and further obtaining the initial placement three-dimensional outline of each cultural relic in each cultural relic display sub-area, setting each sampling time point within the monitoring time period according to the principle of equal time intervals, obtaining images of each angle of each cultural relic in each cultural relic display sub-area at each sampling time point within the monitoring time period according to a set of monitoring video segments of each cultural relic in each cultural relic display sub-area within the monitoring time period, constructing a spatial model of each cultural relic in each cultural relic display sub-area at each sampling time point within the monitoring time period, and obtaining the three-dimensional outline of each cultural relic in each cultural relic display sub-area at each sampling time point within the monitoring time period.

[0093] As a preferred solution, the placement position coincidence of each cultural relic in each cultural relic display sub-area within the monitoring time period is specifically analyzed in the following process: comparing the three-dimensional outline of each cultural relic in each cultural relic display sub-area at each sampling time point within the monitoring time period with its corresponding initial placement three-dimensional outline, to obtain the coincidence of the three-dimensional outline of each cultural relic in each cultural relic display sub-area at each sampling time point within the monitoring time period with its corresponding initial placement three-dimensional outline, comparing the coincidence of the three-dimensional outline of each cultural relic in each cultural relic display sub-area at each sampling time point within the monitoring time period with its corresponding initial placement three-dimensional outline, to obtain the minimum coincidence of the three-dimensional outline of each cultural relic in each cultural relic display sub-area within the monitoring time period with its corresponding initial placement three-dimensional outline, which is recorded as the placement position coincidence of each cultural relic in each cultural relic display sub-area within the monitoring time period.

[0094] The cultural relics display area early warning prompt module is used to analyze and obtain the cultural relics hazard index of each cultural relic display sub-area within the monitoring time period according to the personnel touch risk coefficient and the placement position deviation coefficient of each cultural relic in each cultural relic display sub-area within the monitoring time period, further obtain each abnormal cultural relic display sub-area, and issue an early warning.

[0095] Furthermore, the specific analysis process of the cultural relics display area early warning prompt module is: the personnel touch risk coefficient ε of each cultural relic in each cultural relic display sub-area during the monitoring period is calculated. jp and placement position offset coefficient η jp Substitute into the formula Get the cultural relic danger index λ of each cultural relic display sub-area during the monitoring period j , where μ1 and μ2 represent the weight factors of the preset personnel touch risk coefficient and placement position offset coefficient, respectively.

[0096] According to the cultural relic danger index of each cultural relic display sub-area during the monitoring period, each abnormal cultural relic display sub-area is obtained, and the number of each abnormal cultural relic display sub-area is sent to the security monitoring center of the target cultural relic exhibition hall, and an early warning is issued.

[0097] As a preferred solution, the abnormal cultural relics display sub-areas are obtained by comparing the cultural relics hazard index of each cultural relics display sub-area within the monitoring time period with a preset cultural relics hazard index warning value; if the cultural relics hazard index of a cultural relics display sub-area within the monitoring time period is greater than the preset cultural relics hazard index warning value, then the cultural relics display sub-area is recorded as an abnormal cultural relics display sub-area, and the abnormal cultural relics display sub-areas are statistically obtained.

[0098] It should be noted that the present invention obtains the human touch risk coefficient and the placement position offset coefficient of each cultural relic in each cultural relic display sub-area within the monitoring period, analyzes the cultural relic hazard index of each cultural relic display sub-area within the monitoring period, and comprehensively considers the safety of cultural relics based on various indicators. The safety monitoring of cultural relics is transformed from post-processing to pre-predictive intervention, thereby reducing the loss of cultural relics.

[0099] The security personnel dispatch processing module is used to obtain the routes of each security personnel in the target cultural relics exhibition hall to each abnormal cultural relics display sub-area, analyze the recommendation coefficients of each security personnel's routes to each abnormal cultural relics display sub-area, screen out suitable security personnel and suitable dispatch routes for each abnormal cultural relics display sub-area, and perform corresponding processing.

[0100] Furthermore, the specific analysis process of the security personnel dispatch processing module is: obtaining the location of each abnormal cultural relics display sub-area and the location of each security personnel in the target cultural relics exhibition hall, and obtaining the routes of each security personnel in the target cultural relics exhibition hall to each abnormal cultural relics display sub-area.

[0101] The length of each route taken by each security personnel to each abnormal cultural relics display sub-area and the total flow of people passing through the public area are obtained, and the recommendation coefficient of each route of each security personnel corresponding to each abnormal cultural relics display sub-area is obtained through analysis.

[0102] The recommended coefficients of each security personnel and each route corresponding to each abnormal cultural relics display sub-area are compared with each other, and the security personnel and route corresponding to the maximum recommended coefficient are recorded as the suitable security personnel and suitable dispatching routes of the abnormal cultural relics display sub-area. The suitable security personnel and suitable dispatching routes of each abnormal cultural relics display sub-area are statistically obtained and sent to the security monitoring center of the target cultural relics exhibition hall.

[0103] As a preferred solution, the recommendation coefficient of each route of each security personnel corresponding to each abnormal cultural relic display sub-area is specifically analyzed by obtaining the length of each route of each security personnel to each abnormal cultural relic display sub-area, and recording it as i′ represents the number of the i′th security guard, i′=1′,2′,...,n′, j′ represents the number of the j′th abnormal cultural relic display sub-area, j′=1′,2′,...,m′, u′ represents the number of the u′th route, u′=1′,2′,...,v′.

[0104] Obtain the public sub-areas that each security personnel passes through on each route to each abnormal cultural relics display sub-area, and record them as the public areas that each security personnel pass through on each route to each abnormal cultural relics display sub-area. Obtain the flow of people in each public area that each security personnel pass through on each route to each abnormal cultural relics display sub-area during the monitoring period, and accumulate the total flow of people in the public areas that each security personnel pass through on each route to each abnormal cultural relics display sub-area, and record them as

[0105] By analyzing the formula Get the recommended coefficients for each security personnel to take each route to each abnormal cultural relic display sub-area Where n′ represents the number of security personnel, v′ represents the number of routes, σ1 and σ2 represent the length of the preset route and the weight of the total flow of people passing through the public area, respectively, and then the recommendation coefficient of each route of each security personnel corresponding to each abnormal cultural relics display sub-area is obtained.

[0106] It should be noted that the present invention obtains the recommended coefficients of each route for each security personnel to go to each abnormal cultural relics display sub-area, screens out suitable security personnel and suitable dispatch routes for each abnormal cultural relics display sub-area, and plans the shortest route based on the influence of route length and human flow, thereby preventing delays in processing time and providing protection for the safety of cultural relics.

[0107] The database is used to store the camera lens focal length corresponding to each camera shooting distance range and the illumination width corresponding to each camera lens focal length in each shooting distance range, and store the vulnerable area and initial placement image of each cultural relic in the target cultural relic exhibition hall.

[0108] 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 claims, they should all fall within the protection scope of the present invention.

Claims

1. An intelligent monitoring system based on the Internet of Things, characterized in that: include: Target cultural relics exhibition hall area division module: used to divide the area in the target cultural relics exhibition hall into public sub-areas and cultural relics display sub-areas; Surveillance camera deployment module: used to obtain the number of cameras installed in each public sub-area and each cultural relic display sub-area, and obtain the installation position of each camera in each public sub-area and each cultural relic display sub-area; Cultural relics display area video analysis module: used to obtain the surveillance video of each camera in each cultural relics display sub-area during the monitoring period, and analyze the personnel touch risk coefficient and placement position deviation coefficient of each cultural relic in each cultural relic display sub-area during the monitoring period; Cultural relics display area early warning prompt module: used to analyze and obtain the cultural relics danger index of each cultural relics display sub-area during the monitoring period according to the personnel touch risk coefficient and placement position deviation coefficient of each cultural relic in each cultural relic display sub-area during the monitoring period, further obtain each abnormal cultural relic display sub-area, and issue an early warning; Security personnel dispatch processing module: used to obtain the routes of each security personnel in the target cultural relics exhibition hall to each abnormal cultural relics display sub-area, analyze the recommendation coefficients of each security personnel's routes to each abnormal cultural relics display sub-area, screen out suitable security personnel and suitable dispatch routes for each abnormal cultural relics display sub-area, and perform corresponding processing; Database: used to store the focal length of the camera lens corresponding to the shooting distance range of each camera and the illumination width corresponding to the focal length of each camera lens in each shooting distance range, and store the vulnerable areas and initial placement images of each cultural relic in the target cultural relic exhibition hall; The specific analysis process of the cultural relics display area video analysis module includes: The duration of the monitoring time period is set, and the monitoring videos of each camera in each cultural relic display sub-area within the monitoring time period are obtained, and the monitoring video segments of each cultural relic in the monitoring videos of each camera in each cultural relic display sub-area within the monitoring time period are further obtained, and the monitoring video segments of each cultural relic in the monitoring videos of each camera in each cultural relic display sub-area within the monitoring time period are compared with each other, and the monitoring video segments of the same cultural relic are classified to construct a set of monitoring video segments of each cultural relic in each cultural relic display sub-area within the monitoring time period; According to the surveillance video segment set of each cultural relic in each cultural relic display sub-area during the monitoring period, the distance and touch area of ​​each person's touch action in each cultural relic in each cultural relic display sub-area during the monitoring period are analyzed and recorded as and , Indicates the sub-area of ​​cultural relics display The number of the artifact, , Indicates The number of the touch action of the person, ; Extract the vulnerable areas of each cultural relic in the target cultural relic exhibition hall stored in the database, screen out the vulnerable areas of each cultural relic in each cultural relic display sub-area, compare the touch areas of each human touch action in each cultural relic in each cultural relic display sub-area within the monitoring time period with the vulnerable areas of the cultural relic, obtain the overlapping areas of the touch areas of each human touch action in each cultural relic in each cultural relic display sub-area within the monitoring time period and the vulnerable areas of the cultural relic, and record them as the marked touch areas of each human touch action in each cultural relic in each cultural relic display sub-area within the monitoring time period, obtain the marked touch area area of ​​each human touch action in each cultural relic in each cultural relic display sub-area within the monitoring time period, and record them as ; By analyzing the formula Get the risk coefficient of human contact for each cultural relic in each cultural relic display sub-area during the monitoring period ,in Indicates the preset personnel touch risk coefficient correction factor, They represent the preset distance threshold and touch area threshold of the human touch action respectively. Respectively represent the preset distance between human touch actions and the weight factors of the touch area; The specific analysis process of the cultural relics display area video analysis module also includes: According to the principle of equal time intervals, each sampling time point is set within the monitoring time period, and the three-dimensional outline of each cultural relic in each cultural relic display sub-area at each sampling time point within the monitoring time period and the initial placement three-dimensional outline of each cultural relic in each cultural relic display sub-area are obtained; Further analysis was performed to obtain the overlap of the placement of each cultural relic in each cultural relic display sub-area during the monitoring period, which was expressed as ; By analyzing the formula Get the placement position offset coefficient of each cultural relic in each cultural relic display sub-area during the monitoring period ,in represents the preset placement position offset coefficient correction factor, e represents the natural constant, Indicates the preset placement position overlap threshold.

2. According to claim 1, the intelligent monitoring system based on the Internet of Things is characterized by: The specific analysis process of the target cultural relics exhibition hall area division module is as follows: Obtain the area in the target cultural relics exhibition hall, divide the area in the target cultural relics exhibition hall according to the functional attributes of the public area and the cultural relics display area, and obtain the public area and the cultural relics display area in the target cultural relics exhibition hall; divide the public area and the cultural relics display area in the target cultural relics exhibition hall according to the preset division principle, and obtain each public sub-area and each cultural relics display sub-area.

3. The intelligent monitoring system based on the Internet of Things according to claim 1 is characterized in that: The specific analysis process of the surveillance camera deployment module includes: The real scene images of each public sub-area at various angles are obtained through high-definition cameras, the spatial models of each public sub-area are constructed, and a three-dimensional coordinate system is established in each public sub-area according to the preset principles; Get the net height of each common sub-area and record it as , Indicates The number of the common sub-areas, , by analyzing the formula Get the appropriate installation height of the camera in each public sub-area ,in Indicates the correction factor for the appropriate camera installation height in the preset public sub-area. Indicates the preset camera installation space height margin; Obtain each corner in each common sub-area, further obtain each corner vertical line in each common sub-area, mark corresponding points on each corner vertical line in each common sub-area according to the appropriate installation height of the camera in each common sub-area, record them as each reference datum point in each common sub-area, use the number of reference datum points in each common sub-area as the number of first cameras in each common sub-area, and use the position of each reference datum point in each common sub-area as the installation position of each first camera in each common sub-area; Get the spatial center point corresponding to each common sub-region, further get the coordinates of each reference point in each common sub-region and the spatial center point corresponding to its common sub-region in the three-dimensional coordinate system, and get the distance between each reference point in each common sub-region and the spatial center point corresponding to its common sub-region, which is recorded as , Indicates the first The number of the reference point. ; The distance between each reference point in each common sub-region and the corresponding spatial center point of the common sub-region is recorded as the required shooting distance of each first camera in each common sub-region. Further analysis is performed to obtain the illumination width corresponding to each first camera in each common sub-region, which is recorded as ; Connect the reference points in each common sub-region in sequence to obtain the reference line segments in each common sub-region, and obtain the length of each reference line segment in each common sub-region, which is recorded as , Indicates The number of the reference datum line segment, ; According to the length of each reference baseline segment in each common sub-area and the illumination width corresponding to each first camera, the camera supplementation requirement coefficient of each reference baseline segment in each common sub-area is obtained by analysis; According to the camera supplementation demand coefficient of each reference reference line segment in each common sub-area, each reference reference line segment to which a camera needs to be added is obtained, and is recorded as each target reference reference line segment; According to the camera supplementation demand coefficient of each reference baseline segment in each public sub-area, the camera supplementation demand coefficient of each target reference baseline segment in each public sub-area is screened and obtained, and the number of additional cameras corresponding to each target reference baseline segment is further analyzed; According to the number of additional cameras corresponding to each target reference baseline segment in each common sub-area, the installation position of each additional camera in each target reference baseline segment in each common sub-area is analyzed; The number of additional cameras corresponding to each target reference baseline segment in each common sub-area is accumulated to obtain the total number of additional cameras for the target reference baseline segment in each common sub-area, which is recorded as the number of second cameras in each common sub-area, and the installation position of each second camera in each common sub-area is obtained according to the installation position of each additional camera for each target reference baseline segment in each common sub-area; The number of first cameras and the number of second cameras in each public sub-area are added together to obtain the number of cameras installed in each public sub-area. According to the installation position of each first camera and the installation position of each second camera in each public sub-area, the installation position of each camera in each public sub-area is obtained.

4. The intelligent monitoring system based on the Internet of Things according to claim 3 is characterized in that: The specific analysis process of the surveillance camera deployment module also includes: Get the appropriate installation height of the camera in each cultural relic display sub-area and record it as , Indicates The number of the cultural relics display sub-area, , obtaining the geometric center point of each cultural relic in each cultural relic display sub-area, and according to the geometric center point of each cultural relic in each cultural relic display sub-area, using the mathematical model establishment method, obtaining the spatial surface formed by the geometric center points of each cultural relic in each cultural relic display sub-area, recording it as the cultural relic spatial distribution surface of each cultural relic display sub-area, recording the center point of the cultural relic spatial distribution surface in the cultural relic display sub-area as the spatial center point corresponding to the cultural relic display sub-area, and then obtaining the spatial center point corresponding to each cultural relic display sub-area; Similarly, according to the analysis method of the number of cameras installed in each public sub-area and the installation position of each camera in each public sub-area, the number of cameras installed in each cultural relic display sub-area and the installation position of each camera in each cultural relic display sub-area are obtained.

5. The intelligent monitoring system based on the Internet of Things according to claim 1 is characterized in that: The specific analysis process of the cultural relics display area early warning prompt module is as follows: The risk coefficient of human contact for each cultural relic in each cultural relic display sub-area during the monitoring period is calculated. and placement offset coefficient Substitute into the formula Get the cultural relics danger index of each cultural relics display sub-area during the monitoring period ,in Respectively represent the weight factors of the preset personnel touch risk coefficient and placement position offset coefficient; According to the cultural relic danger index of each cultural relic display sub-area during the monitoring period, each abnormal cultural relic display sub-area is obtained, and the number of each abnormal cultural relic display sub-area is sent to the security monitoring center of the target cultural relic exhibition hall, and an early warning is issued.

6. The intelligent monitoring system based on the Internet of Things according to claim 1, characterized in that: The specific analysis process of the security personnel dispatch processing module is as follows: Obtain the location of each abnormal cultural relic display sub-area and the location of each security personnel in the target cultural relic exhibition hall, and obtain the routes of each security personnel in the target cultural relic exhibition hall to each abnormal cultural relic display sub-area; Obtain the length of each route taken by each security personnel to each abnormal cultural relic display sub-area and the total flow of people passing through the public area, and analyze and obtain the recommendation coefficient of each route of each security personnel corresponding to each abnormal cultural relic display sub-area; The recommended coefficients of each security personnel and each route corresponding to each abnormal cultural relics display sub-area are compared with each other, and the security personnel and route corresponding to the maximum recommended coefficient are recorded as the suitable security personnel and suitable dispatching routes of the abnormal cultural relics display sub-area. The suitable security personnel and suitable dispatching routes of each abnormal cultural relics display sub-area are statistically obtained and sent to the security monitoring center of the target cultural relics exhibition hall.

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