AI-based cultural relic cabinet safety management system and method

Through the AI-based cultural relics cabinet safety management system, the comprehensive structural analysis and refined authority management of glass cultural relics cabinets are carried out, and the problems of inefficient safety and management efficiency in traditional management methods are solved, achieving higher safety and management efficiency of cultural relics cabinets.

CN119896378AInactive Publication Date: 2025-04-29JIANGXI YUANJIN SCI & TECH GRP CO LTD
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Patent Information

Application Number
CN202411985436.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-31
Publication Date
2025-04-29
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The traditional safety management method of glass cultural relics cabinets has problems such as incomplete structural analysis, insufficient personnel authority management, and insufficient behavior monitoring of visitors, resulting in insecure safety and management efficiency of cultural relics cabinets.

Method used

The AI-based cultural relics cabinet safety management system is adopted to evaluate the structural stability of the glass cultural relics cabinet through a comprehensive analysis of fire protection, deformation risk and sealing performance, and to carry out refined control of the identity identification and authority management of staff and visitors.

Benefits of technology

It improves the comprehensiveness and accuracy of the structural stability analysis of glass cultural relics cabinets, enhances the standardization and safety of operations, promptly discovers and stops visitors' bad attempts, and reduces the risk of cultural relics being theft.

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Abstract

The invention relates to the technical field of cultural relic cabinet safety management, and particularly discloses an AI-based cultural relic cabinet safety management system and method. The system comprises a fireproof degree abnormity analysis module, a deformation risk evaluation module, a sealing performance abnormity analysis module, a self-structure comprehensive evaluation module, a personnel authority management module, a behavior abnormity visitor judgment module and a database. According to the invention, the comprehensive analysis of the self-structure stability of the glass cultural relic cabinet is carried out from the three aspects of fireproof degree, deformation risk and sealing performance, so that the comprehensiveness and accuracy of the self-structure stability analysis of the glass cultural relic cabinet are improved, and sufficient information is provided for formulating a comprehensive safety strategy for an exhibition hall; and meanwhile, the recognition and authority of workers are finely managed, and the visiting behaviors of visitors are monitored and evaluated, so that the normalization and safety of the operation of the glass cultural relic cabinet are enhanced, the risk that the cultural relics are stolen is reduced, and the safety of cultural relic display is improved.
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Description

Technical Field

[0001] The present invention belongs to the technical field of security management of cultural relics cabinets, and relates to an AI-based security management system and method for cultural relics cabinets. Background Art

[0002] Cultural relics, as treasures of human history and culture, have inestimable value. In museums, cultural relic warehouses and other places, cultural relic cabinets are important facilities for protecting cultural relics. Among them, glass cultural relic cabinets provide a relatively closed physical isolation space for cultural relics, effectively preventing visitors from directly touching the cultural relics. At the same time, the high transparency of glass allows visitors to view the cultural relics very clearly. However, the traditional safety management method of glass cultural relic cabinets has many shortcomings. In order to improve the safety of glass cultural relic cabinet management, it is necessary to develop an intelligent and efficient cultural relic cabinet safety management system and method.

[0003] For example, the Chinese patent publication number CN110839024A discloses a comprehensive security management platform for cultural relics security prevention and control, including: an information collection unit, a hidden danger inspection and investigation system, an alarm system, a control system and a software architecture unit. Through the coordination and cooperation of multiple subsystems, it has the advantages of complete functions, fast response speed, high system stability and intelligent analysis. It effectively solves the problems of theft and destruction of museum cultural relics and poor security linkage performance, improves the museum's security protection performance, makes the security system more accurate, improves the effectiveness of monitoring, and achieves better management and control effects. There is no need to configure a large number of personnel, saving labor costs.

[0004] The following problems still exist in the prior art: 1. For the structural analysis of the glass cultural relic cabinet itself, the analysis dimension is relatively single, and no comprehensive analysis is conducted from the three aspects of fire protection degree, deformation risk and sealing performance, which reduces the comprehensiveness and accuracy of the structural stability analysis of the glass cultural relic cabinet itself, and cannot provide sufficient information for the exhibition hall to formulate a comprehensive safety strategy. When the cultural relic cabinet needs to be upgraded for safety, it is difficult to determine the focus and direction of the upgrade without a comprehensive performance analysis as a basis.

[0005] 2. Failure to conduct detailed management of staff identification and authority, and failure to monitor and evaluate visitor behavior, weakened the standardization and safety of glass cultural relics cabinet operations, and made it impossible to avoid abuse of authority or misoperation. Failure to promptly detect and stop visitors' bad intentions and behaviors increased the risk of cultural relics being stolen and posed a threat to cultural relics safety. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, an AI-based cultural relics cabinet security management system and method thereof are proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The first aspect of the present invention provides an AI-based cultural relic cabinet safety management system, including: a fire protection degree abnormality analysis module, which is used to collect coating damage information of the fire retardant coating inside and outside the cabinet body of each glass cultural relic cabinet in the target exhibition hall, and analyze the fire protection degree abnormality index of each glass cultural relic cabinet.

[0008] The deformation risk assessment module is used to collect the pressure on each key point of each glass cultural relic cabinet in the target exhibition hall and analyze the deformation risk assessment index of each glass cultural relic cabinet.

[0009] The sealing performance anomaly analysis module is used to regularly test the sealing performance of each glass cultural relic cabinet in the target exhibition hall, collect the tracer gas concentration inside the cabinet of each glass cultural relic cabinet at each monitoring time point in each test, and analyze the sealing performance anomaly index of each glass cultural relic cabinet.

[0010] The self-structure comprehensive evaluation module is used to evaluate whether there are problems with the self-structure of each glass cultural relic cabinet. If so, the glass cultural relic cabinet with problems will be located and feedback will be given. If not, the personnel authority management module will be executed.

[0011] The personnel authority management module is used to extract the importance level of the cultural relics in each glass cultural relic cabinet in the target exhibition hall, delineate the key focus area of ​​each glass cultural relic cabinet, collect the facial images of the staff entering the key focus area of ​​each glass cultural relic cabinet, and manage the authority of the staff corresponding to each glass cultural relic cabinet.

[0012] The abnormal behavior visitor judgment module is used to collect the number of visitors entering and exiting the key focus area of ​​each glass cultural relic cabinet, the time of each entry and the time of each exit, and judge whether there are abnormal behavior visitors in the key focus area of ​​each glass cultural relic cabinet. If so, feedback is immediately given to the patrol staff of the corresponding glass cultural relic cabinet.

[0013] The database is used to store the fire retardant coating thickness range specified for glass cultural relics cabinets, store the key focus activity radius specified for each cultural relic importance level, store the facial image set of the authorized staff corresponding to each glass cultural relic cabinet, and store the visiting and wandering time threshold specified for each cultural relic importance level.

[0014] The second aspect of the present invention provides an AI-based cultural relic cabinet safety management method, including: S1, fire protection degree abnormality analysis: collecting coating damage information of the fire retardant coating inside and outside the cabinet body of each glass cultural relic cabinet in the target exhibition hall, and analyzing the fire protection degree abnormality index of each glass cultural relic cabinet in the target exhibition hall.

[0015] S2. Deformation risk assessment: Collect the pressure on each key point of each glass cultural relic cabinet in the target exhibition hall, and analyze the deformation risk assessment index of each glass cultural relic cabinet.

[0016] S3. Analysis of abnormal sealing performance: Regularly conduct sealing tests on each glass cultural relic cabinet in the target exhibition hall, collect the tracer gas concentration inside the cabinet of each glass cultural relic cabinet at each monitoring time point in each test, and analyze the abnormal sealing performance index of each glass cultural relic cabinet in the target exhibition hall.

[0017] S4. Comprehensive evaluation of the self-structure: evaluate whether there are any problems with the self-structure of each glass cultural relic cabinet in the target exhibition hall. If so, the glass cultural relic cabinet with the problem will be located and feedback will be given. If not, execute step S5.

[0018] S5. Personnel authority management: Extract the importance level of the cultural relics in each glass cultural relic cabinet in the target exhibition hall, delineate the key focus area of ​​each glass cultural relic cabinet, collect the facial images of the staff entering the key focus area of ​​each glass cultural relic cabinet, and manage the authority of the staff corresponding to each glass cultural relic cabinet.

[0019] S6. Determination of visitors with abnormal behavior: The number of entries and exits, the time of each entry and the time of each exit of each visitor entering the key focus area of ​​each glass cultural relic cabinet are collected to determine whether there are visitors with abnormal behavior in the key focus area of ​​each glass cultural relic cabinet. If so, feedback is immediately given to the patrol staff of the corresponding glass cultural relic cabinet.

[0020] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention improves the comprehensiveness and accuracy of the analysis of the structural stability of the glass cultural relic cabinet itself by conducting a comprehensive analysis of the structural stability of the glass cultural relic cabinet itself from three aspects: fire resistance, deformation risk and sealing performance, and provides sufficient information for the exhibition hall to formulate a comprehensive safety strategy. When the cultural relic cabinet needs to be upgraded in terms of safety, the comprehensive performance analysis can help determine the focus and direction of the upgrade.

[0021] (2) The present invention enhances the standardization and safety of glass cultural relic cabinet operations by finely managing the identification and authority of staff members. Scientific identity recognition and fine authority allocation mechanisms can avoid authority abuse or misoperation.

[0022] (3) The present invention monitors and evaluates visitors' visiting behaviors, helps to timely discover and stop visitors' bad intentions and behaviors, reduces the risk of cultural relics being stolen, improves the safety of cultural relics display, and reduces the economic losses of the target exhibition hall. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] 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.

[0024] Figure 1 It is a schematic diagram of the system structure connection of the present invention.

[0025] Figure 2 It is a schematic diagram of the method steps of the present invention.

[0026] Figure 3 This is a flow chart for judging the structural stability of the glass cultural relic cabinet of the present invention. DETAILED DESCRIPTION

[0027] 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.

[0028] See also Figure 1 As shown, the first aspect of the present invention provides an AI-based cultural relics cabinet security management system, including: a fire protection degree abnormality analysis module, a deformation risk assessment module, a sealing performance abnormality analysis module, a self-structure comprehensive assessment module, a personnel authority management module, an abnormal behavior visitor judgment module and a database.

[0029] The fire prevention degree abnormal analysis module, deformation risk assessment module and sealing performance abnormal analysis module are all connected to the self-structure comprehensive assessment module, the self-structure comprehensive assessment module is connected to the personnel authority management module, and the fire prevention degree abnormal analysis module, the personnel authority management module and the abnormal behavior visitor judgment module are all connected to the database.

[0030] The fire protection degree abnormality analysis module is used to collect coating damage information of the fire protection coating inside and outside the cabinet of each glass cultural relic cabinet in the target exhibition hall, and analyze the fire protection degree abnormality index of each glass cultural relic cabinet.

[0031] In a specific embodiment of the present invention, the coating damage information includes the coating thickness at each monitoring point, the number of coating cracks at each monitoring area, and the crack length of each coating crack.

[0032] In a specific embodiment of the present invention, a number of points are randomly selected on the cabinet body of each glass cultural relic cabinet as monitoring points, and the cabinet body surface of each glass cultural relic cabinet is divided into monitoring areas according to equal areas.

[0033] It should be noted that the coating thickness at each monitoring point is obtained by collecting data using an ultrasonic thickness gauge.

[0034] It should be noted that the number of coating cracks in each monitoring area and the length of each coating crack are collected in the following manner: 1) Image acquisition: Use a high-pixel and high-resolution camera to collect images of the inside and outside of each glass cultural relic cabinet; 2) Image preprocessing: Convert the collected color image into a grayscale image to reduce the amount of image data while highlighting the texture information in the image; 3) Coating crack detection and analysis: Use edge detection algorithms and other methods to extract the edges of the cracks, perform morphological processing on the images after edge detection, and use pixel distance to calculate the length of the cracks in the processed images. Finally, perform connected domain analysis on the crack images after edge detection, and count the interconnected cracks as a crack. A marking algorithm can be used to assign a unique marker to each connected domain, and then count the number of markers to obtain the number of coating cracks.

[0035] In a specific embodiment of the present invention, the specific process of analyzing the abnormal fireproof index of each glass cultural relic cabinet is as follows: extracting the coating thickness of each monitoring point and the number of coating cracks in each monitoring area and the crack length of each coating crack from the coating damage information of the internal and external fireproof coatings of each glass cultural relic cabinet in the target exhibition hall, and calculating the fireproof coating thickness compliance β corresponding to each glass cultural relic cabinet respectively. i and fire retardant coating cracking degree χ i , where i represents the number of the glass cultural relic cabinet, i=1,2,...,n.

[0036] It should be noted that the specific process of calculating the compliance of the fire retardant coating thickness corresponding to each glass cultural relic cabinet is as follows: the coating thickness of each monitoring point of the fire retardant coating inside and outside the cabinet of each glass cultural relic cabinet is compared with the fire retardant coating thickness range specified for the glass cultural relic cabinet stored in the database; if the coating thickness of a certain monitoring point of the fire retardant coating inside and outside the cabinet of a glass cultural relic cabinet is within the fire retardant coating thickness range specified for the glass cultural relic cabinet, then the monitoring point is recorded as the coating thickness compliance point; the number of coating thickness compliance points of each glass cultural relic cabinet is counted and recorded as σ i .

[0037] Calculate the fire retardant coating thickness corresponding to each glass cultural relic cabinet β i , Wherein, σ′ represents the number of coating thickness reaching standard points for reference.

[0038] It should be noted that the specific process of calculating the cracking degree of the fire retardant coating corresponding to each glass cultural relic cabinet is as follows: the number of cracks in the coating of each monitoring area of ​​the internal and external fire retardant coating of each glass cultural relic cabinet is accumulated to obtain the total number of cracks in the coating of each glass cultural relic cabinet, which is recorded as μ i .

[0039] The maximum value is extracted from the crack length of each crack of each coating in each monitoring area of ​​the internal and external fire retardant coating of each glass cultural relic cabinet, and recorded as L iq , where q represents the number of the monitoring area, q=1,2,...,p.

[0040] Calculate the cracking degree of the fire retardant coating corresponding to each glass cultural relic cabinet i , Wherein, μ′ and L′ represent the total number and crack length of the reference coating, respectively, and p represents the number of monitoring areas.

[0041] It should also be noted that the total number of coating cracks and crack lengths set as reference are safety regulations in the glass cultural relics cabinet industry.

[0042] Calculate the fire protection abnormality index of each glass cultural relic cabinet Among them, a1 and a2 represent the weights of the abnormal fire protection assessment corresponding to the set fire retardant coating thickness compliance and fire retardant coating cracking degree, respectively, and a1+a2=1.

[0043] In the specific embodiment of the present invention, the setting value of a1 is 0.5, and the setting value of a2 is 0.5. In the actual calculation of the abnormal fire protection index, these two factors should be considered comprehensively. If the thickness of the fire retardant coating is seriously substandard, this is obviously a very serious problem, which directly affects the basic fire protection ability of the cultural relics cabinet. However, if the coating thickness is basically up to standard, but the cracking is serious, the fire protection performance will also be greatly reduced.

[0044] The deformation risk assessment module is used to collect the pressure exerted on each key point of each glass cultural relic cabinet in the target exhibition hall and analyze the deformation risk assessment index of each glass cultural relic cabinet.

[0045] It should be noted that the pressures exerted on the key points of the glass cultural relic cabinets in the target exhibition hall are collected by pressure sensors.

[0046] In a specific embodiment of the present invention, the center and four corners of each plane of the glass cultural relic cabinet are selected as key points.

[0047] It should also be noted that the changes in pressure at the center points and corners of each face of the glass cultural relic cabinet are mainly caused by a variety of internal and external factors. In terms of the external environment, air pressure fluctuations caused by weather changes, such as reduced air pressure before a storm and high-pressure weather, will cause a pressure difference between the inside and outside of the cultural relic cabinet; temperature rises and falls cause the air in the cabinet to expand and contract, and the glass and frame have different thermal expansion coefficients, which changes the stress at the connection and affects the pressure distribution. Among human factors, visitors approach, touch or collide with the cultural relic cabinet, and the heat transfer of the human body and the impact of external forces will cause the pressure at the corresponding point to change instantly. When the cultural relics are placed or moved, their weight and uneven operation will also cause pressure changes. In unexpected situations, earthquakes and nearby construction vibrations cause the cultural relic cabinet to shake and be stressed, and objects falling bring local strong impacts. In terms of internal factors, the volatilization of cultural relics containing volatile components, moisture expansion and other changes, as well as the airflow and heat generated by the operation of internal equipment such as temperature and humidity control and lighting, will all cause pressure fluctuations at various monitoring points of the glass cultural relic cabinet.

[0048] In a specific embodiment of the present invention, the specific process of analyzing the deformation risk assessment index of each glass cultural relic cabinet is as follows: the pressure on each key point of each glass cultural relic cabinet in the target exhibition hall is recorded as P if , where f represents the number of the key point, f = 1, 2, ..., d.

[0049] Calculate the uniformity of pressure on each glass cultural relic cabinet Where ΔP represents the pressure deviation of the set reference, P i ( f+1 ) represents the pressure on the f+1th key point of the i-th glass cultural relic cabinet in the target exhibition hall, and d represents the number of key points.

[0050] The maximum pressure and the minimum pressure are extracted from the pressures of each key point of each glass cultural relic cabinet in the target exhibition hall and recorded as and

[0051] Calculate the pressure fluctuation coefficient of each glass cultural relic cabinet Here, ΔP′ represents the maximum allowable pressure difference.

[0052] Calculate the deformation risk assessment index of each glass cultural relic cabinet in, and They respectively represent the pressure uniformity and pressure fluctuation coefficient of the set reference.

[0053] The sealing performance abnormality analysis module is used to regularly perform sealing tests on each glass cultural relic cabinet in the target exhibition hall, collect the tracer gas concentration inside the cabinet of each glass cultural relic cabinet at each monitoring time point in each test, and analyze the sealing performance abnormality index of each glass cultural relic cabinet.

[0054] It should be noted that the specific method of the sealing test is as follows: 1) Tracer gas selection: Helium is one of the commonly used tracer gases. It has the advantages of stable chemical properties, not easy to react chemically with the materials of the cultural relics cabinet and the cultural relics inside, extremely low content in the air, colorless, odorless, non-toxic, and fast diffusion speed. 2) Gas injection and initial concentration setting: Inside the cultural relics cabinet (usually with the cabinet door closed and sealed), use a professional gas injection device to accurately inject the selected tracer gas according to a predetermined volume or mass to form a known initial concentration inside. 3) Tracer gas concentration monitoring: The gas concentration sensor collects the tracer gas concentration at each monitoring time point at a set time interval. 4) Recovery and treatment after testing: An adsorption device is set in the closed space where the cultural relics cabinet is located or in the gas exhaust port, and activated carbon is used as an adsorbent to recover the helium.

[0055] In a specific embodiment of the present invention, the specific process of analyzing the sealing performance abnormality index of each glass cultural relic cabinet is: extracting the maximum value and the minimum value from the tracer gas concentration inside the cabinet of each glass cultural relic cabinet at each monitoring time point in each test, and recording them as and At the same time, the monitoring time points corresponding to the maximum and minimum values ​​are extracted to obtain the time interval between the maximum and minimum values, which is recorded as T ij , where j represents the number of each test, j=1,2,...,m.

[0056] Calculate the diffusion rate v inside each glass cultural relic cabinet in each test ij ,

[0057] Calculate the sealing performance abnormality index of each glass cultural relic cabinet Wherein, v′ represents the diffusion rate of the set reference, m represents the number of tests, and e represents the natural constant.

[0058] The self-structure comprehensive evaluation module is used to evaluate whether there are problems with the self-structure of each glass cultural relic cabinet. If so, the glass cultural relic cabinet with problems will be located and fed back. If not, the personnel authority management module will be executed.

[0059] In a specific embodiment of the present invention, the specific process of evaluating whether there is a problem with the structure of each glass cultural relic cabinet is as follows: calculating the stability of the structure of each glass cultural relic cabinet ξ i , Among them, λ1, λ2 and λ3 represent the weights of the set fire protection degree abnormality index, deformation risk assessment index and sealing performance abnormality index corresponding to the structural stability assessment, respectively, λ1+λ2+λ3=1.

[0060] In a specific embodiment of the present invention, the setting value of λ1 is 0.35, the setting value of λ2 is 0.35, and the setting value of λ3 is 0.3. When evaluating the structural stability of the glass cultural relic cabinet itself, it is difficult to say which index is more important, as they are interrelated and influence each other. In different usage scenarios and risk assessments, the importance of each index may be emphasized. It is usually necessary to comprehensively consider these three indexes and determine their weights in the structural stability assessment based on actual conditions to comprehensively evaluate the structural stability of the glass cultural relic cabinet itself.

[0061] See also Figure 3 As shown, the self-structural stability of each glass cultural relic cabinet is compared with the self-structural stability of a set reference. If the self-structural stability of a glass cultural relic cabinet is greater than or equal to the self-structural stability of the set reference, it indicates that there is no problem with the self-structure of the glass cultural relic cabinet. Otherwise, it indicates that there is a problem with the self-structure of the glass cultural relic cabinet.

[0062] The embodiment of the present invention improves the comprehensiveness and accuracy of the structural stability analysis of the glass cultural relic cabinet itself by conducting a comprehensive analysis of the structural stability of the glass cultural relic cabinet itself from three aspects: fire protection degree, deformation risk and sealing performance, and provides sufficient information for the exhibition hall to formulate a comprehensive safety strategy. When the cultural relic cabinet needs to be upgraded in terms of safety, the comprehensive performance analysis can help determine the focus and direction of the upgrade as a basis.

[0063] The personnel authority management module is used to extract the importance level of the cultural relics in each glass cultural relic cabinet in the target exhibition hall, delineate the key focus area of ​​each glass cultural relic cabinet, collect the facial images of the staff entering the key focus area of ​​each glass cultural relic cabinet, and manage the staff authority corresponding to each glass cultural relic cabinet.

[0064] It should be noted that the importance level of the cultural relics in each glass cultural relic cabinet in the target exhibition hall is extracted from the cultural relic management system of the target exhibition hall, and the facial images of the staff entering the key focus area of ​​each glass cultural relic cabinet are identified by a facial recognition system.

[0065] In a specific embodiment of the present invention, the method for demarcating the key attention area of ​​each glass cultural relic cabinet is: comparing the importance level of the cultural relics in each glass cultural relic cabinet in the target exhibition hall with the key attention activity radius specified for each cultural relic importance level stored in the database, obtaining the key attention activity radius specified for the cultural relics in each glass cultural relic cabinet, and constructing the key attention area of ​​each glass cultural relic cabinet with each glass cultural relic cabinet as the center and the key attention activity radius specified for the cultural relics in each glass cultural relic cabinet as the radius.

[0066] In a specific embodiment of the present invention, the method for managing the authority of the staff corresponding to each glass cultural relic cabinet is: comparing the facial image of the staff entering the key focus area of ​​each glass cultural relic cabinet with the facial image set of the authorized staff corresponding to each glass cultural relic cabinet stored in the database; if the facial image of the staff entering the key focus area of ​​a glass cultural relic cabinet is not within the facial image set of the authorized staff corresponding to the glass cultural relic cabinet, it indicates that the staff entering the key focus area of ​​the glass cultural relic cabinet is an abnormal entry, the early warning system is activated, and feedback is immediately provided.

[0067] The embodiment of the present invention enhances the standardization and safety of the operation of the glass cultural relic cabinet by performing refined management on the identification and authority of the staff. The scientific identity identification and refined authority allocation mechanism can avoid the abuse of authority or misoperation.

[0068] The abnormal behavior visitor judgment module is used to collect the number of entries and exits, the time points of each entry and the time points of each exit of each visitor entering the key focus area of ​​each glass cultural relic cabinet, and judge whether there are abnormal behavior visitors in the key focus area of ​​each glass cultural relic cabinet. If so, the abnormal behavior visitors are immediately fed back to the patrol staff of the corresponding glass cultural relic cabinet.

[0069] It should be noted that the number of times each visitor enters and exits the key focus area of ​​each glass cultural relic cabinet, the time point of each entry, and the time point of each exit are collected in the following manner: when a visitor appears in the camera image in the key focus area of ​​each glass cultural relic cabinet, the movement trajectory of the visitor is tracked, and when the visitor's trajectory enters the key focus area of ​​the glass cultural relic cabinet from outside, the entry time point is recorded. When the visitor's trajectory leaves the key focus area of ​​the glass cultural relic cabinet, the exit time point is recorded. The actions of the visitor entering and leaving the key focus area of ​​the glass cultural relic cabinet are recorded as entry and exit actions, so the number of visitors entering and exiting is counted.

[0070] In a specific embodiment of the present invention, the specific process of determining whether there is a visitor with abnormal behavior in the key focus area of ​​each glass cultural relic cabinet is as follows: the number of times each visitor enters and exits the key focus area of ​​each glass cultural relic cabinet is recorded as τ ig, where g represents the visitor number, g = 1, 2, ..., r.

[0071] The entry time points and exit time points of each visitor entering the key focus area of ​​each glass cultural relic cabinet are compared to obtain the visit and wandering time of each visitor, and the average is calculated to obtain the visit and wandering time of each visitor entering the key focus area of ​​each glass cultural relic cabinet, which is recorded as

[0072] The importance level of the cultural relics in each glass cultural relic cabinet in the target exhibition hall is compared with the visit and lingering time threshold specified for each cultural relic importance level stored in the database, and the visit and lingering time threshold specified for the cultural relics in each glass cultural relic cabinet is obtained, and recorded as T i .

[0073] Calculate the visit behavior abnormality index ψ of each visitor entering the key focus area of ​​each glass cultural relic cabinet ig , Among them, τ′ represents the number of visitors entering and exiting the set reference.

[0074] The visit behavior abnormality index of each visitor entering the key focus area of ​​each glass cultural relic cabinet is compared with the set reference visit behavior abnormality index. If the visit behavior abnormality index of a visitor entering the key focus area of ​​a glass cultural relic cabinet is greater than or equal to the set reference visit behavior abnormality index, it indicates that the visitor entering the key focus area of ​​the glass cultural relic cabinet has abnormal behavior. Otherwise, it indicates that the visitor entering the key focus area of ​​the glass cultural relic cabinet does not have abnormal behavior, thereby judging whether there is a visitor with abnormal behavior in the key focus area of ​​each glass cultural relic cabinet.

[0075] The embodiment of the present invention helps to timely discover and stop visitors' bad intentions and behaviors by monitoring and evaluating visitors' visiting behaviors, thereby reducing the risk of cultural relics being stolen, improving the safety of cultural relics display, and reducing the economic losses of target exhibition halls.

[0076] The database is used to store the fire retardant coating thickness range specified for glass cultural relic cabinets, store the focus activity radius specified for each cultural relic importance level, store the face image set of the authorized staff corresponding to each glass cultural relic cabinet, and store the visit and wandering time threshold specified for each cultural relic importance level. The data sources in the database of this embodiment are shown in Table 1 below.

[0077] Table 1 Data sources in the database

[0078]

[0079] Reference Figure 2As shown, the second aspect of the present invention provides an AI-based cultural relic cabinet safety management method, including: S1, fire protection degree abnormality analysis: collecting coating damage information of the fire retardant coating inside and outside the cabinet body of each glass cultural relic cabinet in the target exhibition hall, and analyzing the fire protection degree abnormality index of each glass cultural relic cabinet in the target exhibition hall.

[0080] S2. Deformation risk assessment: Collect the pressure on each key point of each glass cultural relic cabinet in the target exhibition hall, and analyze the deformation risk assessment index of each glass cultural relic cabinet.

[0081] S3. Analysis of abnormal sealing performance: Regularly conduct sealing tests on each glass cultural relic cabinet in the target exhibition hall, collect the tracer gas concentration inside the cabinet of each glass cultural relic cabinet at each monitoring time point in each test, and analyze the abnormal sealing performance index of each glass cultural relic cabinet in the target exhibition hall.

[0082] S4. Comprehensive evaluation of the self-structure: evaluate whether there are any problems with the self-structure of each glass cultural relic cabinet in the target exhibition hall. If so, the glass cultural relic cabinet with the problem will be located and feedback will be given. If not, execute step S5.

[0083] S5. Personnel authority management: Extract the importance level of the cultural relics in each glass cultural relic cabinet in the target exhibition hall, delineate the key focus area of ​​each glass cultural relic cabinet, collect the facial images of the staff entering the key focus area of ​​each glass cultural relic cabinet, and manage the authority of the staff corresponding to each glass cultural relic cabinet.

[0084] S6. Determination of visitors with abnormal behavior: The number of entries and exits, the time of each entry and the time of each exit of each visitor entering the key focus area of ​​each glass cultural relic cabinet are collected to determine whether there are visitors with abnormal behavior in the key focus area of ​​each glass cultural relic cabinet. If so, feedback is immediately given to the patrol staff of the corresponding glass cultural relic cabinet.

[0085] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An AI-based cultural relics cabinet security management system, characterized in that: include: The fire protection degree abnormality analysis module is used to collect the coating damage information of the fire protection coating inside and outside the cabinets of each glass cultural relic cabinet in the target exhibition hall, and analyze the fire protection degree abnormality index of each glass cultural relic cabinet; The deformation risk assessment module is used to collect the pressure of each key point of each glass cultural relic cabinet in the target exhibition hall and analyze the deformation risk assessment index of each glass cultural relic cabinet; The sealing performance abnormality analysis module is used to regularly test the sealing performance of each glass cultural relic cabinet in the target exhibition hall, collect the tracer gas concentration inside the cabinet of each glass cultural relic cabinet at each monitoring time point in each test, and analyze the sealing performance abnormality index of each glass cultural relic cabinet; The self-structure comprehensive evaluation module is used to evaluate whether there are problems with the self-structure of each glass cultural relic cabinet. If so, the glass cultural relic cabinet with problems will be located and feedback will be given. If not, the personnel authority management module will be executed; The personnel authority management module is used to extract the importance level of the cultural relics in each glass cultural relic cabinet in the target exhibition hall, delineate the key focus area of ​​each glass cultural relic cabinet, collect the face images of the staff who enter the key focus area of ​​each glass cultural relic cabinet, and manage the authority of the staff corresponding to each glass cultural relic cabinet; The abnormal behavior visitor judgment module is used to collect the number of visitors entering and exiting the key focus area of ​​each glass cultural relic cabinet, the time of each entry and the time of each exit, and judge whether there are abnormal behavior visitors in the key focus area of ​​each glass cultural relic cabinet. If there are, immediately feedback to the patrol staff of the corresponding glass cultural relic cabinet; The database is used to store the fire retardant coating thickness range specified for glass cultural relics cabinets, store the key focus activity radius specified for each cultural relic importance level, store the facial image set of the authorized staff corresponding to each glass cultural relic cabinet, and store the visiting and wandering time threshold specified for each cultural relic importance level.

2. According to claim 1, the AI-based cultural relics cabinet security management system is characterized by: The coating damage information includes the coating thickness at each monitoring point, the number of coating cracks in each monitoring area, and the crack length of each coating crack.

3. The AI-based cultural relics cabinet security management system according to claim 2 is characterized by: The specific process of analyzing the abnormal fire protection index of each glass cultural relic cabinet is as follows: From the coating damage information of the fire retardant coating inside and outside the cabinets of each glass cultural relic cabinet in the target exhibition hall, the coating thickness of each monitoring point, the number of coating cracks in each monitoring area, and the crack length of each coating crack are extracted, and the fire retardant coating thickness corresponding to each glass cultural relic cabinet is calculated. and cracking degree of fire retardant coating ,in, Indicates the number of the glass cultural relic cabinet. ; Calculate the fire protection abnormality index of each glass cultural relic cabinet , ,in, and They represent the weights of the fire retardant coating thickness compliance and fire retardant coating cracking corresponding to the abnormal fire retardant evaluation ratio. .

4. The AI-based cultural relics cabinet security management system according to claim 3 is characterized by: The specific process of analyzing the deformation risk assessment index of each glass cultural relic cabinet is as follows: The pressure on each key point of each glass cultural relic cabinet in the target exhibition hall is recorded as ,in, Indicates the number of the key point, ; Calculate the uniformity of pressure on each glass cultural relic cabinet , ,in, Indicates the pressure deviation from the set reference. Indicates the target exhibition hall Glass cabinet of cultural relics The pressure on key points, Indicates the number of key points; The maximum pressure and the minimum pressure are extracted from the pressures of each key point of each glass cultural relic cabinet in the target exhibition hall and recorded as and ; Calculate the pressure fluctuation coefficient of each glass cultural relic cabinet , ,in, Indicates the set allowable pressure extreme difference; Calculate the deformation risk assessment index of each glass cultural relic cabinet , ,in, and They respectively represent the pressure uniformity and pressure fluctuation coefficient of the set reference.

5. The AI-based cultural relics cabinet security management system according to claim 4 is characterized in that: The specific process of analyzing the abnormal sealing performance index of each glass cultural relic cabinet is as follows: The maximum and minimum values ​​of the tracer gas concentration inside each glass cultural relic cabinet at each monitoring time point in each test were extracted and recorded as and , and extract the monitoring time points corresponding to the maximum and minimum values ​​respectively, and obtain the time interval between the maximum and minimum values, which is recorded as ,in, Indicates the number of each test. ; Calculate the diffusion rate inside each glass cultural relic cabinet in each test , ; Calculate the sealing performance abnormality index of each glass cultural relic cabinet , ,in, represents the diffusion rate of the set reference, Indicates the number of tests, Represents a natural constant.

6. The AI-based cultural relics cabinet security management system according to claim 5 is characterized by: The specific process of evaluating whether there are problems with the structure of each glass cultural relic cabinet is as follows: Calculate the structural stability of each glass cultural relic cabinet , ,in, , and They represent the weights of the set fire protection abnormality index, deformation risk assessment index and sealing performance abnormality index corresponding to the structural stability assessment ratio. ; The self-structural stability of each glass cultural relic cabinet is compared with the self-structural stability of a set reference. If the self-structural stability of a glass cultural relic cabinet is greater than or equal to the self-structural stability of the set reference, it indicates that there is no problem with the self-structure of the glass cultural relic cabinet. Otherwise, it indicates that there is a problem with the self-structure of the glass cultural relic cabinet.

7. The AI-based cultural relics cabinet security management system according to claim 3 is characterized by: The method for demarcating the key attention area of ​​each glass cultural relic cabinet is: comparing the importance level of the cultural relics in each glass cultural relic cabinet in the target exhibition hall with the key attention activity radius specified for each cultural relic importance level stored in the database, obtaining the key attention activity radius specified for the cultural relics in each glass cultural relic cabinet, and constructing the key attention area of ​​each glass cultural relic cabinet with each glass cultural relic cabinet as the center and the key attention activity radius specified for the cultural relics in each glass cultural relic cabinet as the radius.

8. The AI-based cultural relics cabinet security management system according to claim 7 is characterized by: The method for managing the authority of the staff corresponding to each glass cultural relic cabinet is as follows: the facial image of the staff entering the key focus area of ​​each glass cultural relic cabinet is compared with the facial image set of the authorized staff corresponding to each glass cultural relic cabinet stored in the database; if the facial image of the staff entering the key focus area of ​​a glass cultural relic cabinet is not within the facial image set of the authorized staff corresponding to the glass cultural relic cabinet, it indicates that the staff entering the key focus area of ​​the glass cultural relic cabinet has entered abnormally, the early warning system is activated, and feedback is immediately provided.

9. The AI-based cultural relics cabinet security management system according to claim 8 is characterized by: The specific process of judging whether there are visitors with abnormal behaviors in the key focus area of ​​each glass cultural relic cabinet is as follows: The number of times each visitor enters and exits the key focus area of ​​each glass cultural relic cabinet is recorded as ,in, Indicates the visitor's number, ; The entry time points and exit time points of each visitor entering the key focus area of ​​each glass cultural relic cabinet are compared to obtain the visit and wandering time of each visitor, and the average is calculated to obtain the visit and wandering time of each visitor entering the key focus area of ​​each glass cultural relic cabinet, which is recorded as ; The importance level of the cultural relics in each glass cultural relic cabinet in the target exhibition hall is compared with the visit and lingering time threshold specified for each cultural relic importance level stored in the database, and the visit and lingering time threshold specified for the cultural relics in each glass cultural relic cabinet is obtained and recorded as ; Calculate the abnormal behavior index of each visitor entering the key focus area of ​​each glass cultural relic cabinet , ,in, Indicates the number of visitors entering and exiting the set reference; The visit behavior abnormality index of each visitor entering the key focus area of ​​each glass cultural relic cabinet is compared with the set reference visit behavior abnormality index. If the visit behavior abnormality index of a visitor entering the key focus area of ​​a glass cultural relic cabinet is greater than or equal to the set reference visit behavior abnormality index, it indicates that the visitor entering the key focus area of ​​the glass cultural relic cabinet has abnormal behavior. Otherwise, it indicates that the visitor entering the key focus area of ​​the glass cultural relic cabinet does not have abnormal behavior, thereby judging whether there is a visitor with abnormal behavior in the key focus area of ​​each glass cultural relic cabinet.

10. An AI-based cultural relics cabinet safety management method, characterized in that: include: S1. Analysis of abnormal fire protection degree: Collect the coating damage information of the fire protection coating inside and outside the cabinets of each glass cultural relic cabinet in the target exhibition hall, and analyze the abnormal fire protection degree index of each glass cultural relic cabinet in the target exhibition hall; S2. Deformation risk assessment: Collect the pressure on each key point of each glass cultural relic cabinet in the target exhibition hall, and analyze the deformation risk assessment index of each glass cultural relic cabinet; S3. Analysis of abnormal sealing performance: Regularly test the sealing performance of each glass cultural relic cabinet in the target exhibition hall, collect the tracer gas concentration inside the cabinet of each glass cultural relic cabinet at each monitoring time point in each test, and analyze the abnormal sealing performance index of each glass cultural relic cabinet in the target exhibition hall; S4, comprehensive evaluation of self-structure: evaluate whether there are problems with the self-structure of each glass cultural relic cabinet in the target exhibition hall. If so, locate and feedback the glass cultural relic cabinet with problems. If not, execute step S5; S5. Personnel authority management: Extract the importance level of the cultural relics in each glass cultural relic cabinet in the target exhibition hall, delineate the key focus area of ​​each glass cultural relic cabinet, collect the face images of the staff entering the key focus area of ​​each glass cultural relic cabinet, and manage the authority of the staff corresponding to each glass cultural relic cabinet; S6. Determination of visitors with abnormal behavior: The number of entries and exits, the time of each entry and the time of each exit of each visitor entering the key focus area of ​​each glass cultural relic cabinet are collected to determine whether there are visitors with abnormal behavior in the key focus area of ​​each glass cultural relic cabinet. If so, feedback is immediately given to the patrol staff of the corresponding glass cultural relic cabinet.

Citation Information

Patent Citations

  • Comprehensive safety management platform for cultural relic safety prevention and control

    CN110839024A