Exhibition intelligent security and protection monitoring system and method based on Internet of Things

Abstract

The invention relates to the technical field of security and protection monitoring, in particular to an exhibition intelligent security and protection monitoring system and method based on the Internet of Things, and the system comprises a security and protection monitoring initial determination module, a security and protection monitoring adjustment module, a key security and protection module, a security and protection tracing module and a tracing security and protection adjustment module. Security monitoring is carried out on all visitors in the exhibition hall by combining a conventional identification technology, different security monitoring periods are customized for each visitor according to behavior characteristics of the visitors, system monitoring and reasonable distribution of analysis resources are ensured, and when it is found that visitors with abnormal behaviors and repeated visitors occur in the exhibition hall, the security monitoring period of the visitors in the exhibition hall is optimized. According to the method, the corresponding visitors are marked as security key visitors in time, the visitors possibly affected are rapidly and accurately mined, and when it is found that the traced visitors have the possibility of making corresponding behaviors, synchronous key monitoring is carried out on the traced visitors, so that security personnel can conveniently take corresponding countermeasures in advance.

Description

Technical Field

[0001] The present invention relates to the technical field of security monitoring, and more specifically, to an exhibition intelligent security monitoring system and method based on the Internet of Things. Background Art

[0002] With the vigorous development of the exhibition industry, exhibition halls, as important places for cultural exchange and product display, their safety precautions are particularly important.

[0003] In recent years, the rapid development of Internet of Things technology has provided new solutions for exhibition security. Through sensors, RFID tags, video surveillance and other means, Internet of Things technology has achieved comprehensive perception and real-time monitoring of people, objects and environment in the exhibition hall. However, most of the existing security systems based on the Internet of Things are still in the primary application stage, with problems such as low intelligence, unreasonable resource allocation, and inaccurate abnormal behavior recognition.

[0004] Especially in exhibitions, visitors have different behavioral characteristics. Some visitors may only stop and watch occasionally, while others may show abnormal behavior, such as frequently trying to touch exhibits, trying to cross isolated areas, etc. Traditional security systems require the deployment of a large number of security personnel, and when visitors touch exhibits or try to cross isolated areas, there will be no security alarm (usually only when exhibits are touched or damaged, security alarms will be triggered). After seeing other visitors perform corresponding behaviors and no security alarms are triggered, some visitors may imitate the corresponding behaviors in the future.

[0005] Therefore, there is an urgent need for a system and method that can combine the Internet of Things technology to perform intelligent security monitoring based on the behavioral characteristics of visitors, so as to achieve comprehensive, accurate and efficient monitoring of visitors in the exhibition hall and ensure the safe and smooth progress of exhibition activities. Summary of the invention

[0006] In view of the deficiencies in the prior art, the object of the present invention is to provide an exhibition intelligent security monitoring system and method based on the Internet of Things.

[0007] To achieve the above object, the present invention provides the following technical solutions: An exhibition intelligent security monitoring system based on the Internet of Things, including a security monitoring preliminary module, a security monitoring adjustment module, a key security module, a security tracing module, and a tracing security adjustment module; The security monitoring initialization module deploys video surveillance in the exhibition hall, identifies visitors in the video surveillance in real time, and determines the security monitoring period of the visitor when the visitor in the video surveillance is identified for the first time; The security monitoring adjustment module, when the visitor in the video monitoring is not identified for the first time, obtains the security monitoring cycle of the visitor, and if the security monitoring index of the visitor has reached a security monitoring cycle since the last acquisition, determines whether to adjust the security monitoring level of the visitor, and simultaneously determines the security impact range of the visitor; The key security module marks the visitor as a key security visitor when the visitor's security monitoring level is higher than or equal to the security monitoring boundary level; The security tracing module is used to determine security tracing visitors; The traceability security adjustment module determines whether to adjust the security monitoring level of the security traceability visitor to be consistent with the security monitoring level of the security key visitor.

[0008] Furthermore, the security monitoring period of the visitor is determined based on the following method: obtaining the security monitoring index of the visitor, determining the security monitoring level of the visitor based on the security monitoring index, and performing security monitoring on the visitor based on the security monitoring period corresponding to the security monitoring level.

[0009] Furthermore, the security monitoring index of the visitor is obtained based on the following method: extracting the image frame in which the visitor is first identified in the video surveillance, extracting the behavior characteristics of the visitor based on the extracted image frame, obtaining the security monitoring model, using the behavior characteristics as the input data of the security monitoring model, and the security monitoring model outputs the security monitoring index of the visitor. .

[0010] Furthermore, the visitor's security monitoring level is determined based on the following method: Obtain the visitor's security monitoring index , set the range of each security monitoring index to correspond to a security monitoring level. The range of security monitoring index includes ,The security monitoring levels include security monitoring level 1, security monitoring level 2, ,…, security monitoring level S-1, security monitoring level S, each security monitoring level 1 corresponds to a security monitoring cycle, the cycle duration of the security monitoring cycle corresponding to the security monitoring level 1 is less than the cycle duration of the security monitoring cycle corresponding to the security monitoring level 2, and so on.

[0011] Further, determine whether to adjust the security monitoring level of the visitor: obtain the security monitoring index of the visitor, simultaneously determine the visitor's visiting dynamic index, set the visiting dynamic upper index and the visiting dynamic lower index, when the visitor's visiting dynamic index is greater than the visiting dynamic upper index, the security monitoring level of the corresponding visitor will be increased by one level; when the visitor's visiting dynamic index is less than the visiting dynamic lower index, the security monitoring level of the corresponding visitor will be decreased by one level; when the visitor's visiting dynamic index is between the visiting dynamic upper index and the visiting dynamic lower index, the security monitoring level of the corresponding visitor will be maintained.

[0012] Furthermore, the visitor's visit dynamic index is determined based on the following method: obtain all security monitoring indexes previously obtained by a visitor, sort all security monitoring indexes in the order of acquisition, calculate the absolute difference between two adjacent security monitoring indexes after sorting, calculate the monitoring dynamic index, set the monitoring dynamic threshold index, and when the monitoring dynamic index is greater than the monitoring dynamic threshold index, increase the number of behavior repetitions by one, and mark the number of behavior repetitions as , calculate the sum and average of all security monitoring indexes to get the average security monitoring index , Get the visitor's visit dynamic index .

[0013] Furthermore, the security impact range of key security visitors is determined based on the following method: a security impact radius is set corresponding to each security monitoring level. The higher the security monitoring level, the larger the corresponding security impact radius. A circle is drawn with the current position of the key security visitor as the center and the security impact radius as the radius to determine the security impact range of the key security visitor.

[0014] Furthermore, the security traceability visitor is determined based on the following method: determining the security impact range of the key security visitor, marking the remaining visitors within the security impact range as security-related visitors, determining the involved synchronization value of the security-related visitors, setting the involved synchronization threshold, and when the involved synchronization value of the security-related visitors is greater than the involved synchronization threshold, marking the corresponding security-related visitors as security traceability visitors; The synchronization value of the security-related visitor is determined based on the following method: select a security-related visitor, obtain all the security impact ranges of the key security visitors that were previously determined, and when the security impact range is determined and the security-related visitor is within the security impact range, increase the number of synchronizations by one, calculate the ratio of the number of synchronizations to the total number of security impact ranges, and calculate the synchronization value of the security-related visitor.

[0015] Further, it is determined whether to adjust the security monitoring level of the security tracing visitor to be consistent with the security monitoring level of the security key visitor: the security impact visit index of each security tracing visitor is obtained, and the security impact visit threshold index is set. When the security impact visit index of the security tracing visitor is greater than the security impact visit threshold index, the security monitoring level of the security tracing visitor is adjusted to be consistent with the security monitoring level of the security key visitor; The security impact visit index of the security traceability visitor is obtained based on the following method: select a security traceability visitor, obtain the impact superposition index and visit dynamic index of the security traceability visitor, and mark , X1 is the impact superposition index of security tracing visitors, X2 is the visit dynamic index of security tracing visitors, obtain the impact superposition index and visit dynamic index of key security visitors, and mark them as , Y1 is the impact superposition index of security key visitors, Y2 is the visit dynamic index, and the security impact visit index of security traceability visitors is calculated using the cosine similarity algorithm; The impact superposition index is obtained based on the following method: obtain all the security impact ranges previously determined by the visitor, sort all the security impact ranges in the determined order, compare the two adjacent security impact ranges after sorting, and when the two security impact ranges have an intersection, mark the intersection area as , d=1, 2, ..., D-1, D, d is the sequence number of the intersection area, D is the total number of intersection areas, set the intersection area coefficient to Lz, z=1, 2, ..., Z, L1<L2<...<LZ-1<LZ, through Get the visitor's influence superposition index .

[0016] Furthermore, an exhibition intelligent security monitoring method based on the Internet of Things includes the following steps: Step 1: Deploy video surveillance in the exhibition hall to identify visitors in the video surveillance in real time. When a visitor in the video surveillance is identified for the first time, determine the security monitoring cycle of the visitor. When the visitor in the video surveillance is not identified for the first time, obtain the security monitoring cycle of the visitor. If the security monitoring index of the visitor has reached a security monitoring cycle since the last time the visitor was obtained, determine whether to adjust the security monitoring level of the visitor, and simultaneously determine the security impact range of the visitor; Step 2: When the visitor's security monitoring level is higher than or equal to the security monitoring boundary level, the visitor is marked as a key security visitor; Step 3: Determine the security traceability visitor; Step 4: Determine whether to adjust the security monitoring level of the security traceability visitor to be consistent with the security monitoring level of the security key visitor.

[0017] Compared with the prior art, the present invention has the following beneficial effects: 1. The system of the present invention uses a security monitoring preliminary module, a security monitoring adjustment module, a key security module, a security tracing module and a tracing security adjustment module, combined with conventional identification technology, to perform security monitoring on all visitors in the exhibition hall. According to the behavioral characteristics of the visitors, different security monitoring cycles are customized for each visitor to ensure the reasonable allocation of system monitoring and analysis resources. When abnormal and repeated visitors are found in the exhibition hall, the corresponding visitors are marked as key security visitors in a timely manner, and the visitors who may be affected are quickly and accurately excavated, and the corresponding visitors are traced and analyzed to see if there is a possibility that the visitors will behave in a manner corresponding to the key security visitors. 2. The method of the present invention can trace back and analyze whether a visitor has the possibility of performing corresponding behaviors with the key security visitors. When it is found that the traced visitor has the possibility of performing corresponding behaviors, the traced visitor is synchronously monitored, so that the security personnel can take corresponding countermeasures in advance. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a module block diagram of an exhibition intelligent security monitoring system based on the Internet of Things; Figure 2 A flow chart for adjusting the security monitoring level for visitors; Figure 3 The figure is a flowchart of an exhibition intelligent security monitoring method based on the Internet of Things. DETAILED DESCRIPTION

[0019] Example 1: Reference Figure 1 to Figure 2 , an exhibition intelligent security monitoring system based on the Internet of Things, including a security monitoring preliminary module, a security monitoring adjustment module, a key security module, a security tracing module, and a tracing security adjustment module.

[0020] Preliminary module for security monitoring: deploy video monitoring in the exhibition hall (the deployed video monitoring is all-round monitoring, so all visitors can appear in the video monitoring in real time), identify visitors in the video monitoring in real time (the recognition technology is conventional face recognition technology and body recognition technology), when the visitor in the video monitoring is recognized for the first time, obtain the security monitoring index of the visitor, determine the security monitoring level of the visitor based on the security monitoring index, and conduct security monitoring on the visitor based on the security monitoring period corresponding to the security monitoring level.

[0021] The security monitoring index of a visitor is obtained in the following way: extracting the image frame in which the visitor is first identified in the video surveillance, extracting the behavior characteristics of the visitor based on the extracted image frame, obtaining a security monitoring model, using the behavior characteristics as input data of the security monitoring model, and outputting the security monitoring index of the visitor. .

[0022] The visitor's security monitoring level is determined based on the following method: Get the visitor's security monitoring index , set the range of each security monitoring index to correspond to a security monitoring level. The range of security monitoring index includes , , , security monitoring levels include security monitoring level 1, security monitoring level 2, ..., security monitoring level S-1, security monitoring level S, when the security monitoring index , corresponding to security monitoring level 1, each security monitoring level 1 corresponds to a security monitoring cycle, the cycle length of the security monitoring cycle corresponding to security monitoring level 1 is less than the cycle length of the security monitoring cycle corresponding to security monitoring level 2, and so on.

[0023] The security monitoring model is constructed in the following way: a deep learning model is constructed to collect the behavioral characteristics of multiple visitors. The deep learning model is trained based on the behavioral characteristics of the visitors. A security monitoring index is assigned to the behavioral characteristics of each visitor. The index range of the security monitoring index is (1.0~15.0). The larger the security monitoring index, the more abnormal the corresponding visitor's behavior. The training data is divided into training set, validation set and test set in a ratio of 70%:15%:15%. The model is trained using the training set, and the value of the loss function is minimized by continuously adjusting the parameters of the model. During the training process, the validation set is used to monitor the performance of the model to avoid overfitting. The trained model is evaluated using the test set. Finally, the security monitoring model is constructed.

[0024] Security monitoring adjustment module: when a visitor in video surveillance is not identified for the first time, the security monitoring cycle of the visitor is obtained. If a security monitoring cycle has been reached since the last time the security monitoring index of the visitor was obtained, the security monitoring index of the visitor is obtained, and the visitor's visit dynamic index is determined simultaneously. The visitor's security monitoring level is adjusted according to the visit dynamic index, and the security impact range of the visitor is determined simultaneously; The security impact range of key security visitors is determined based on the following method: a security impact radius is set corresponding to each security monitoring level. The higher the security monitoring level, the larger the corresponding security impact radius (for example, the security impact radius of security monitoring level 1 is larger than the security impact radius of security monitoring level 2). The security impact range of key security visitors is determined by drawing a circle with the current position of the key security visitor as the center and the security impact radius as the radius.

[0025] Adjust the security monitoring level of visitors according to the visiting dynamic index: set the visiting dynamic upper index and the visiting dynamic lower index (the visiting dynamic upper index is greater than the visiting dynamic lower index, and both the visiting dynamic upper index and the visiting dynamic lower index are preset indexes). When the visiting dynamic index of a visitor is greater than the visiting dynamic upper index, the security monitoring level of the corresponding visitor will be increased by one level (for example, if the visitor was originally at security monitoring level 2, it will be adjusted to security monitoring level 1). When the visiting dynamic index of a visitor is less than the visiting dynamic lower index, the security monitoring level of the corresponding visitor will be decreased by one level (for example, if the visitor was originally at security monitoring level 2, it will be adjusted to security monitoring level 3). When the visiting dynamic index of a visitor is between the visiting dynamic upper index and the visiting dynamic lower index, the security monitoring level of the corresponding visitor will be maintained.

[0026] The visitor's visit dynamic index is determined based on the following method: obtain all security monitoring indexes previously obtained by a visitor, sort all security monitoring indexes in the order of acquisition, calculate the absolute difference between two adjacent security monitoring indexes after sorting, calculate the monitoring dynamic index, set the monitoring dynamic threshold index (the monitoring dynamic threshold index is a preset index used for comparison with the monitoring dynamic index), when the monitoring dynamic index is greater than the monitoring dynamic threshold index, increase the number of behavior repetitions by one (when the monitoring dynamic index is less than or equal to the monitoring dynamic threshold index, no processing is performed), and mark the number of behavior repetitions as , calculate the sum and average of all security monitoring indexes to get the average security monitoring index ,pass Get the visitor's visit dynamic index Among them, a1 is the first coefficient, and the value of a1 is 0.56.

[0027] Key security module: Set the security monitoring demarcation level (the security monitoring demarcation level is a preset level used for comparison with the security monitoring level). When the visitor's security monitoring level is higher than or equal to the security monitoring demarcation level, the visitor is marked as a key security visitor (for example, if the security monitoring demarcation level is security monitoring level 4, then when the visitor is security monitoring level 1, security monitoring level 2, security monitoring level 3 or security monitoring level 4, the corresponding visitor needs to be marked as a target visitor).

[0028] Security tracing module: determine the security impact range of key security visitors, mark the remaining visitors within the security impact range as security-related visitors, determine the involved synchronization value of the security-related visitors, set the involved synchronization threshold (the involved synchronization threshold is a preset threshold used to compare with the involved synchronization value), when the involved synchronization value of the security-related visitor is greater than the involved synchronization threshold, mark the corresponding security-related visitor as a security tracing visitor (when the involved synchronization value of the security-related visitor is less than or equal to the involved synchronization threshold, no processing is performed).

[0029] The synchronization value of the security-related visitor is determined based on the following method: select a security-related visitor, obtain all the security impact ranges of the key security visitors that were previously determined, and when the security impact range is determined and the security-related visitor is within the security impact range, increase the number of synchronizations by one, calculate the ratio of the number of synchronizations to the total number of security impact ranges, and calculate the synchronization value of the security-related visitor.

[0030] Retrospective security adjustment module: obtain the security impact visit index of each security retrospective visitor, set the security impact visit threshold index (the security impact visit threshold index is a preset index used to compare with the security impact visit index). When the security impact visit index of the security retrospective visitor is greater than the security impact visit threshold index, adjust the security monitoring level of the security retrospective visitor to be consistent with the security monitoring level of the key security visitors (when the security impact visit index of the security retrospective visitor is less than or equal to the security impact visit threshold index, no processing will be performed).

[0031] The security impact visit index of the security traceability visitor is obtained based on the following method: select a security traceability visitor, obtain the impact superposition index and visit dynamic index of the security traceability visitor, and mark , X1 is the impact superposition index of security tracing visitors, X2 is the visit dynamic index of security tracing visitors, obtain the impact superposition index and visit dynamic index of key security visitors, and mark them as , Y1 is the impact superposition index of security key visitors, Y2 is the visit dynamic index, and the cosine similarity algorithm is used to calculate the security impact visit index of security traceability visitors.

[0032] Security traceability visitor security impact visit index .

[0033] The impact superposition index is obtained based on the following method: obtain all the security impact ranges previously determined by the visitor, sort all the security impact ranges in the determined order, compare the two adjacent security impact ranges after sorting, and when there is an intersection between two security impact ranges, mark the intersection area as Area (dz), d = 1, 2, ..., D-1, D, d is the sequence number of the intersection area, D is the total number of intersection areas, set the intersection area coefficient to Lz, z = 1, 2, ..., Z, L1 < L2 < ... < LZ-1 < LZ, each intersection area coefficient corresponds to an intersection area within a range, and the range of the intersection area includes When the intersection area When the intersection area coefficient is L1, Get the visitor's influence superposition index .

[0034] Through the security monitoring preliminary module, security monitoring adjustment module, key security module, security tracing module and tracing security adjustment module, combined with conventional identification technology, security monitoring is carried out on all visitors in the exhibition hall. According to the behavioral characteristics of the visitors, different security monitoring cycles are customized for each visitor to ensure the reasonable allocation of system monitoring and analysis resources. When abnormal behavior and repeated visitors are found in the exhibition hall, the corresponding visitors are marked as key security visitors in a timely manner, and the visitors who may be affected are quickly and accurately discovered, and the corresponding visitors are traced and analyzed to see if there is a possibility that the visitors will behave accordingly to the key security visitors.

[0035] Example 2: Reference Figure 3 , an exhibition intelligent security monitoring method based on the Internet of Things, comprising the following steps: Step 1: Deploy video surveillance in the exhibition hall to identify visitors in the video surveillance in real time. When a visitor in the video surveillance is identified for the first time, determine the security monitoring cycle of the visitor. When the visitor in the video surveillance is not identified for the first time, obtain the security monitoring cycle of the visitor. If the security monitoring index of the visitor has reached a security monitoring cycle since the last time the visitor was obtained, determine whether to adjust the security monitoring level of the visitor, and simultaneously determine the security impact range of the visitor; Step 2: When the visitor's security monitoring level is higher than or equal to the security monitoring boundary level, the visitor is marked as a key security visitor; Step 3: Determine the security traceability visitor; Step 4: Determine whether to adjust the security monitoring level of the security traceability visitor to be consistent with the security monitoring level of the security key visitor.

[0036] The above method can trace and analyze whether there is a possibility that a visitor will take actions corresponding to those of the key security visitors. When it is found that the traced visitor has the possibility of taking actions corresponding to those of the key security visitors, the traced visitor is synchronously monitored, so that the security personnel can take corresponding countermeasures in advance.

[0037] The above formulas are all dimensionless and numerical calculations are performed, and the preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0038] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0039] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0040] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0041] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0042] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0043] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0044] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An exhibition intelligent security monitoring system based on the Internet of Things, characterized in that: It includes security monitoring preliminary module, security monitoring adjustment module, key security module, security tracing module, and tracing security adjustment module; The security monitoring initialization module deploys video surveillance in the exhibition hall, identifies visitors in the video surveillance in real time, and determines the security monitoring period of the visitor when the visitor in the video surveillance is identified for the first time; The security monitoring adjustment module, when the visitor in the video monitoring is not identified for the first time, obtains the security monitoring cycle of the visitor, and if the security monitoring index of the visitor has reached a security monitoring cycle since the last acquisition, determines whether to adjust the security monitoring level of the visitor, and simultaneously determines the security impact range of the visitor; The key security module marks the visitor as a key security visitor when the visitor's security monitoring level is higher than or equal to the security monitoring boundary level; The security tracing module is used to determine security tracing visitors; The traceability security adjustment module determines whether to adjust the security monitoring level of the security traceability visitor to be consistent with the security monitoring level of the security key visitor.

2. According to the Internet of Things-based exhibition intelligent security monitoring system of claim 1, it is characterized in that: The security monitoring period of the visitor is determined based on the following method: obtaining the security monitoring index of the visitor, determining the security monitoring level of the visitor based on the security monitoring index, and performing security monitoring on the visitor based on the security monitoring period corresponding to the security monitoring level.

3. According to the Internet of Things-based exhibition intelligent security monitoring system of claim 2, it is characterized in that: The security monitoring index of a visitor is obtained in the following way: extracting the image frame in which the visitor is first identified in the video surveillance, extracting the behavior characteristics of the visitor based on the extracted image frame, obtaining a security monitoring model, using the behavior characteristics as input data of the security monitoring model, and outputting the security monitoring index of the visitor. .

4. According to the Internet of Things-based exhibition intelligent security monitoring system of claim 2, it is characterized in that: The visitor's security monitoring level is determined based on the following method: Get the visitor's security monitoring index , set the range of each security monitoring index to correspond to a security monitoring level. The range of security monitoring index includes: , The security monitoring levels include security monitoring level 1, security monitoring level 2, …, security monitoring level S-1, security monitoring level S, each security monitoring level 1 corresponds to a security monitoring cycle, the cycle length of the security monitoring cycle corresponding to the security monitoring level 1 is less than the cycle length of the security monitoring cycle corresponding to the security monitoring level 2, and so on.

5. The exhibition intelligent security monitoring system based on the Internet of Things according to claim 1 is characterized in that: Determine whether to adjust the visitor's security monitoring level: obtain the visitor's security monitoring index, simultaneously determine the visitor's visiting dynamic index, set the visiting dynamic upper index and the visiting dynamic lower index. When the visitor's visiting dynamic index is greater than the visiting dynamic upper index, the corresponding visitor's security monitoring level will be increased by one level. When the visitor's visiting dynamic index is less than the visiting dynamic lower index, the corresponding visitor's security monitoring level will be decreased by one level. When the visitor's visiting dynamic index is between the visiting dynamic upper index and the visiting dynamic lower index, the corresponding visitor's security monitoring level will be maintained.

6. The exhibition intelligent security monitoring system based on the Internet of Things according to claim 5 is characterized in that: The visitor's visit dynamic index is determined based on the following method: obtain all security monitoring indexes previously obtained by a visitor, sort all security monitoring indexes in the order of acquisition, calculate the absolute difference between two adjacent security monitoring indexes after sorting, calculate the monitoring dynamic index, set the monitoring dynamic threshold index, and when the monitoring dynamic index is greater than the monitoring dynamic threshold index, increase the number of behavior repetitions by one, and mark the number of behavior repetitions as , calculate the sum and average of all security monitoring indexes to get the average security monitoring index pass Get the visitor's visit dynamic index .

7. The exhibition intelligent security monitoring system based on the Internet of Things according to claim 1 is characterized in that: The security impact range of key security visitors is determined based on the following method: a security impact radius is set corresponding to each security monitoring level. The higher the security monitoring level, the larger the corresponding security impact radius. A circle is drawn with the current position of the key security visitor as the center and the security impact radius as the radius to determine the security impact range of the key security visitor.

8. The exhibition intelligent security monitoring system based on the Internet of Things according to claim 1 is characterized in that: The security traceability visitor is determined based on the following method: determine the security impact range of the key security visitor, mark the remaining visitors within the security impact range as security-related visitors, determine the involved synchronization value of the security-related visitors, set the involved synchronization threshold, and when the involved synchronization value of the security-related visitor is greater than the involved synchronization threshold, mark the corresponding security-related visitor as a security traceability visitor; The synchronization value of the security-related visitor is determined based on the following method: select a security-related visitor, obtain all the security impact ranges of the key security visitors that were previously determined, and when the security impact range is determined and the security-related visitor is within the security impact range, increase the number of synchronizations by one, calculate the ratio of the number of synchronizations to the total number of security impact ranges, and calculate the synchronization value of the security-related visitor.

9. The exhibition intelligent security monitoring system based on the Internet of Things according to claim 1 is characterized in that: Determine whether to adjust the security monitoring level of the security tracing visitor to be consistent with the security monitoring level of the security key visitor: obtain the security impact visit index of each security tracing visitor, set the security impact visit threshold index, and when the security impact visit index of the security tracing visitor is greater than the security impact visit threshold index, adjust the security monitoring level of the security tracing visitor to be consistent with the security monitoring level of the security key visitor; The security impact visit index of the security traceability visitor is obtained based on the following method: select a security traceability visitor, obtain the impact superposition index and visit dynamic index of the security traceability visitor, and mark , X1 is the impact superposition index of security tracing visitors, X2 is the visit dynamic index of security tracing visitors, obtain the impact superposition index and visit dynamic index of key security visitors, and mark them as , Y1 is the impact superposition index of security key visitors, Y2 is the visit dynamic index, and the security impact visit index of security traceability visitors is calculated using the cosine similarity algorithm; The impact superposition index is obtained based on the following method: obtain all the security impact ranges determined by the visitor before, sort all the security impact ranges in the determined order, compare the two adjacent security impact ranges after sorting, and when there is an intersection between two security impact ranges, mark the intersection area as Area (dz), d = 1, 2, ..., D-1, D, d is the sequence number of the intersection area, D is the total number of intersection areas, set the intersection area coefficient to Lz, z = 1, 2, ..., Z, L1 < L2 < ... < LZ-1 < LZ, through Get the visitor's influence superposition index .

10. An exhibition intelligent security monitoring method based on the Internet of Things, applied to an exhibition intelligent security monitoring system based on the Internet of Things according to any one of claims 1 to 9, characterized in that: The steps include: Step 1: Deploy video surveillance in the exhibition hall to identify visitors in the video surveillance in real time. When a visitor in the video surveillance is identified for the first time, determine the security monitoring cycle of the visitor. When the visitor in the video surveillance is not identified for the first time, obtain the security monitoring cycle of the visitor. If the security monitoring index of the visitor has reached a security monitoring cycle since the last time the visitor was obtained, determine whether to adjust the security monitoring level of the visitor, and simultaneously determine the security impact range of the visitor; Step 2: When the visitor's security monitoring level is higher than or equal to the security monitoring boundary level, the visitor is marked as a key security visitor; Step 3: Determine the security traceability visitor; Step 4: Determine whether to adjust the security monitoring level of the security traceability visitor to be consistent with the security monitoring level of the security key visitor.

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