Multi-scene collaborative intelligent security and protection monitoring method, system, equipment, medium and program product in smart park

Abstract

The invention relates to a multi-scene collaborative intelligent security and protection monitoring method, system and device in a smart park, a medium and a program product. The method comprises the following steps: acquiring facial feature information of a visitor, and judging whether the visitor has a passing permission or not according to the facial feature information; if yes, outputting a gate opening instruction indicating passage permission, and recording visitor identity information, access time information, visited channel information and passage direction information; obtaining page view-time trend information according to the visitor identity information, the access time information, the visited channel information and the traffic direction information; acquiring visitor identity information, visit time information, visited channel information and traffic direction information in the current preset time period, and matching the information with the visitor volume-time trend to judge whether abnormal people flow exists or not; if yes, acquiring current image information to judge whether an accidental dangerous case exists or not; and if yes, opening a gate channel of the area with the accidental dangerous case so as to evacuate crowds.

Description

Technical Field

[0001] The present application relates to the field of intelligent security technologies, and particularly to an intelligent security monitoring method, system, computer device, storage medium, and computer program product for multi-scenario collaboration within a smart park. Background Art

[0002] With the continuous iteration of intelligent security technologies, more and more intelligent security systems for various security requirements in parks, such as access control, fire protection, and vehicle management, have emerged, transforming traditional parks into smart parks.

[0003] The existing Chinese invention patent with the publication number CN119314275A discloses a multi-scenario intelligent camera patrol analysis and management system for regional security and fire protection, including: a regional information recording module, a regional security monitoring module, a regional security analysis module, a regional hidden danger monitoring module, a regional hidden danger analysis module, a regional fire protection monitoring module, a regional fire protection analysis module, a regional early warning confirmation module, and a regional early warning management terminal; by analyzing the security compliance index, fire hazard compliance index, and fire accident compliance index of each monitored area, the present invention ensures the pertinence of regional monitoring and analysis, thereby improving the timeliness of discovering potential problems. At the same time, by confirming the early warning items of each monitored area according to the security compliance index, fire hazard compliance index, and fire accident compliance index of each monitored area, the accuracy and effectiveness of early warning are ensured, thereby improving the management efficiency of regional management.

[0004] However, the security requirements within a park are often not unique. If corresponding security systems are added for a single requirement, the number of security systems that need to be managed and maintained within the park will increase sharply, and the procurement and maintenance costs of hardware devices will also increase accordingly. Therefore, there is an urgent need for an intelligent security system that can adapt to multiple requirements. Summary of the Invention

[0005] Based on this, in view of the above technical problems, it is necessary to provide an intelligent security monitoring method, system, computer device, computer-readable storage medium, and computer program product for multi-scenario collaboration within a smart park that can adapt to multiple requirements.

[0006] In a first aspect, the present application provides an intelligent security monitoring method for multi-scenario collaboration within a smart park, the method including: Obtaining facial feature information of a visitor, and determining whether the visitor has access permission according to the facial feature information; If so, outputting a gate-opening instruction indicating permission to pass, and recording the visitor's identity information, access time information, visited channel information, and passing direction information; Obtaining access volume-time trend information according to the visitor's identity information, access time information, visited channel information, and passing direction information; Obtain the visitor identity information, access time information, visited channel information, and passage direction information within the current preset time period, and match them with the access volume - time trend to determine whether there is abnormal pedestrian flow; If so, obtain the current image information to determine whether there is an accidental danger; If so, open the gate channel of the area where there is an accidental danger to evacuate the crowd.

[0007] In one embodiment, the specific steps of obtaining the access volume - time trend information according to the visitor identity information, access time information, visited channel information, and passage direction information include: Summarize and save the visitor identity information, access time information, and visited channel information within a day according to the access information to obtain the single - day access data information, and store the single - day access data in the preset single - day access data information database to form a historical access information data table; Cut the access time information of each single - day access data information in the historical access information data table corresponding to the same visited channel information at a preset unit time length to obtain the single - day access peak time period corresponding to the same visited channel information, and perform a union operation on the single - day access peak time periods corresponding to multiple working days to obtain the access volume - time trend information.

[0008] In one embodiment, the specific steps of obtaining the current image information to determine whether there is an accidental danger include; Obtain the current image information of some or all of the image acquisition devices; Identify the current image information to determine whether there are preset danger characteristics, and the preset danger characteristics include smoke characteristics, flame characteristics, high temperature, and / or high - brightness characteristics corresponding to fire danger; If there are the danger characteristics, it means there is an accidental danger; If there are no the danger characteristics, it means there is no accidental danger.

[0009] In one embodiment, the specific steps of obtaining the current image information of some or all of the image acquisition devices include: Obtain the location information corresponding to the channel where abnormal pedestrian flow occurs; Obtain the image information within the area associated with the channel location information.

[0010] In one embodiment, the method further includes: allocate corresponding cloud computing resources to the cloud computing access control recognition terminal corresponding to the visited channel information according to the access volume - time trend information corresponding to the visited channel information.

[0011] In one embodiment, the specific steps of allocating corresponding cloud computing resources to the cloud computing access control recognition terminal corresponding to the visited channel information according to the access volume-time trend information corresponding to the visited channel information include: Obtain the number of visitors and / or frequency corresponding to different visited channels within the same time period; Calculate the number of visitors and / or frequency corresponding to some or all channels, and allocate cloud computing resources according to the number of visitors and / or frequency; After the end of the single-day access peak time period of the current channel, recycle at least part of the cloud computing resources for reallocation.

[0012] In a second aspect, the present application further provides an intelligent security monitoring system for multi-scenario collaboration in a smart park. The system includes: A cloud computing terminal, including a turnstile and a facial image acquisition device, for acquiring and uploading the facial features of visitors, and according to whether a gate opening instruction is obtained, A cloud server for acquiring the facial feature information uploaded by the cloud computing terminal, and judging whether the facial feature information has access permission. If it has access permission, output a gate opening instruction to the cloud computing terminal, and record the visitor identity information, access time information, visited channel information and passing direction information, so as to obtain an access volume-time trend; An image acquisition device is arranged in key areas in the park and in the channels where the cloud computing terminals are arranged to collect images or videos of the corresponding areas; The cloud server is also connected to the image acquisition device to obtain the current image information, and analyze the current image information to judge whether there is an accidental danger situation. If an accidental danger situation occurs, output an opening instruction to the turnstile associated with the area where the accidental danger situation exists to facilitate the evacuation of the crowd.

[0013] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor. The memory stores a computer program. When the processor executes the computer program, the following steps are implemented: Obtain the facial feature information of the visitor, and judge whether there is access permission according to the facial feature information; If so, output a gate opening instruction indicating permission to pass, and record the visitor identity information, access time information, visited channel information and passing direction information; Obtain access volume-time trend information according to the visitor identity information, access time information, visited channel information and passing direction information; Allocate corresponding cloud computing resources to the cloud computing access control recognition terminal corresponding to the visited channel information according to the access volume-time trend information corresponding to the visited channel information; Obtain the visitor identity information, access time information, visited channel information, and passage direction information within the current preset time period, and match them with the access volume-time trend to determine whether there is abnormal crowd flow; If so, obtain the current image information to determine whether there is an accidental danger; If so, open the gate channel of the area where there is an accidental danger to evacuate the crowd.

[0014] Fourthly, the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Obtain the facial feature information of the visitor, and determine whether the visitor has the right to pass according to the facial feature information; If so, output a gate opening instruction indicating permission to pass, and record the visitor identity information, access time information, visited channel information, and passage direction information; Obtain the access volume-time trend information according to the visitor identity information, access time information, visited channel information, and passage direction information; Allocate corresponding cloud computing resources to the cloud computing access control recognition terminal corresponding to the visited channel information according to the access volume-time trend information corresponding to the visited channel information; Obtain the visitor identity information, access time information, visited channel information, and passage direction information within the current preset time period, and match them with the access volume-time trend to determine whether there is abnormal crowd flow; If so, obtain the current image information to determine whether there is an accidental danger; If so, open the gate channel of the area where there is an accidental danger to evacuate the crowd.

[0015] Fifthly, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the following steps are implemented: Obtain the facial feature information of the visitor, and determine whether the visitor has the right to pass according to the facial feature information; If so, output a gate opening instruction indicating permission to pass, and record the visitor identity information, access time information, visited channel information, and passage direction information; Obtain the access volume-time trend information according to the visitor identity information, access time information, visited channel information, and passage direction information; Allocate corresponding cloud computing resources to the cloud computing access control recognition terminal corresponding to the visited channel information according to the access volume-time trend information corresponding to the visited channel information; Obtain the visitor identity information, access time information, accessed channel information, and passing direction information within the current preset time period, and match them with the access volume - time trend to determine whether there is abnormal pedestrian flow; If so, obtain the current image information to determine whether there is an accidental danger; If so, open the gate channel of the area where there is an accidental danger to evacuate the crowd.

[0016] The above intelligent security monitoring method and system for multi-scenario collaboration in the smart park analyze the fluctuation trend and range of the pedestrian flow at the channel by using the cloud computing terminal set in the park channel to count the pedestrian flow. When abnormal pedestrian flow occurs, the image acquisition devices set in other areas of the park are called for danger detection, so as to realize the integration and time-sharing multiplexing of the access control system and the danger detection system. On this basis, when a danger is detected, the gate can be automatically opened to keep the channel unobstructed, which is more conducive to the evacuation of the crowd. Description of the Drawings

[0017] Figure 1 It is an application environment diagram of the intelligent security monitoring method for multi-scenario collaboration in the smart park in an embodiment; Figure 2 It is a schematic flowchart of the intelligent security monitoring method for multi-scenario collaboration in the smart park in an embodiment; Figure 3 It is a specific flowchart of step S400 in an embodiment; Figure 4 It is a specific flowchart of step S600 in an embodiment; Figure 5 It is an internal structure diagram of a computer device in an embodiment. Detailed Embodiments

[0018] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0019] The intelligent security monitoring method for multi-scenario collaboration in the smart park provided by the embodiments of the present application can be applied to, for example Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptop computers, smart phones, tablet computers, Internet of Things devices, and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The server 104 can be implemented by an independent server or a server cluster composed of multiple servers.

[0020] In one embodiment, as Figure 2 shown, a multi-scenario collaborative intelligent security monitoring method in a smart park is provided. Taking the cloud server in Figure 1 as an example, the method includes the following steps: Step S100: Obtain the facial feature information of the visitor, and determine whether the visitor has the access permission according to the facial feature information.

[0021] Specifically, the facial feature information of the visitor is the facial information of the visitor who enters the turnstile for facial recognition. The specific feature type is adjusted according to the different features adopted by the facial recognition algorithm, and is not limited in the embodiments of the present application. By judging the matching between the facial feature information and the standard facial information in the access control system database, it is determined whether the visitor has the access permission. Further, since some areas in the park require special permissions to pass, the access control system databases referred to by the turnstiles at different locations are not exactly the same, and there are certain differences according to the different people with access permissions.

[0022] Step S200: If so, output a turnstile opening instruction indicating permission to pass, and record the visitor identity information, access time information, visited channel information, and passing direction information.

[0023] Among them, the turnstile opening instruction is an instruction automatically generated after detecting that the visitor has the access permission for opening the turnstile to let the visitor pass. The purpose of recording and storing the visitor identity information, access time information, visited channel information, and passing direction information is to count the number of people flowing through each channel, so as to obtain the daily trend of the number of people. In a preferred embodiment, the channels habitually selected by the interviewees can also be analyzed according to the corresponding relationship between the interviewee information and the visited channel information, so as to differentially store the samples used by the cloud computing terminals at each channel for facial feature recognition, improve the matching order of the visitors who frequently pass through a certain channel, thereby shortening the facial recognition time, and further shortening the passing waiting time and improving the passing efficiency.

[0024] Step S300: Obtain the access volume - time trend information based on the visitor identity information, access time information, accessed channel information, and traffic direction information.

[0025] In one embodiment, the specific steps of step S300 include: Step S310: Summarize and save the visitor identity information, access time information, and accessed channel information within a day according to the access information to obtain the single - day access data information, and store the single - day access data in a preset single - day access data information database to form a historical access information data table.

[0026] Step S320: Cut the access time information of each single - day access data information in the historical access information data table corresponding to the same accessed channel information at a preset unit duration to obtain the single - day access peak time period corresponding to the same accessed channel information, and perform a union operation on the single - day access peak time periods corresponding to multiple working days to obtain the access volume - time trend information.

[0027] In the above steps, the single - day access data information is a data form that summarizes the visitor identity information, access time information, accessed channel information, and other information within a day. Summarizing the previously summarized single - day access data information can obtain the general trend of the access volume changing with time. More specifically, it can also judge the peak traffic periods of each channel respectively, and for the regularly occurring peak periods, dynamic distribution of cloud computing computing power can be carried out so that the system can handle the high computing load during the peak periods.

[0028] Step S400: Allocate corresponding cloud computing resources to the cloud computing access control recognition terminals corresponding to the accessed channel information according to the access volume - time trend information corresponding to the accessed channel information.

[0029] In one embodiment, as Figure 3 shown, the specific steps of step S400 include: Step S410: Obtain the number of visitors and / or frequencies corresponding to different accessed channels within the same time period; Step S420: Calculate the number of visitors and / or frequencies corresponding to some or all channels, and allocate cloud computing resources according to the number of visitors and / or frequencies; Step S430: After the end of the single - day access peak time period of the current channel, recycle at least part of the cloud computing resources for re - allocation.

[0030] Step S500: Obtain the visitor identity information, access time information, accessed channel information, and traffic direction information within the current preset time period, and match them with the access volume - time trend to judge whether there is abnormal traffic.

[0031] Among them, abnormal pedestrian flow refers to the pedestrian flow that flows in the opposite direction to the normal pedestrian flow during peak or non-peak hours. For example, when there is a high-frequency reverse flow of pedestrians entering a certain building during non-peak hours, the system will determine this type of pedestrian flow as abnormal pedestrian flow. At this time, the danger monitoring mechanism will be triggered to determine whether a danger occurs.

[0032] Step S600: If so, obtain the current image information to determine whether there is an accidental danger.

[0033] Among them, the current image information is the image information collected by image acquisition devices set in the park, such as surveillance cameras, infrared cameras, etc. By judging the characteristics in the image information, it is determined whether a danger occurs within the shooting range of the surveillance camera.

[0034] In one embodiment, as Figure 4 shown, the specific steps of step S600 include: Step S610: Obtain the current image information of some or all of the image acquisition devices.

[0035] In one of the embodiments, the specific steps of obtaining the current image information of some or all of the image acquisition devices include: Step S611: Obtain the location information corresponding to the passage where the abnormal pedestrian flow appears; Step S612: Obtain the image information within the area associated with the passage location information.

[0036] Step S620: Identify the current image information to determine whether there are preset danger features. The preset danger features include smoke features, flame features, high temperature and / or high brightness features corresponding to fire dangers; Step S631: If there are danger features, it means there is an accidental danger; Step S632: If there are no danger features, it means there is no accidental danger.

[0037] Through the above steps, it is possible to prioritize danger investigation in the area related to the passage where the abnormal pedestrian flow appears. The reason is that the appearance of abnormal pedestrian flow in this passage is due to a situation in the area connected by this passage that requires people to escape and take shelter urgently. Therefore, prioritizing danger investigation in this area is more conducive to taking timely countermeasures. If a danger is really detected, opening the turnstile as soon as possible to ensure the smoothness of the passage is also more conducive to the evacuation and shelter of people.

[0038] Step S700: If there are danger features, open the turnstile passage in the area where there is an accidental danger to evacuate the crowd.

[0039] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in rotation with at least a part of other steps or steps or stages in other steps.

[0040] Based on the same inventive concept, an embodiment of the present application further provides an intelligent security monitoring system for multi-scenario collaboration in a smart park for implementing the above-mentioned intelligent security monitoring method for multi-scenario collaboration in a smart park. The implementation solutions provided by this system to solve problems are similar to the implementation solutions recorded in the above method. Therefore, the specific limitations in one or more embodiments of the intelligent security monitoring system for multi-scenario collaboration in a smart park provided below can refer to the limitations on the intelligent security monitoring method for multi-scenario collaboration in a smart park in the above text, and will not be repeated here.

[0041] In one embodiment, an intelligent security monitoring system for multi-scenario collaboration in a smart park is provided, including: a cloud computing terminal, a cloud server, and an image acquisition device, where: The cloud computing terminal includes a turnstile and a facial image acquisition device, and is used to obtain and upload the facial features of visitors, and according to whether a gate opening instruction is obtained, The cloud server is used to obtain the facial feature information uploaded by the cloud computing terminal, and judge whether the facial feature information has the right to pass. If it has the right to pass, it outputs a gate opening instruction to the cloud computing terminal, and records the visitor identity information, access time information, visited channel information, and passing direction information, so as to obtain the access volume - time trend; The image acquisition device is arranged in key areas in the park and in the channels where the cloud computing terminal is set, to collect images or video recording devices of the corresponding areas; The cloud server is also connected to the image acquisition device to obtain the current image information, and analyze the current image information to judge whether there is an accidental danger. If an accidental danger occurs, it outputs an opening instruction to the turnstile associated with the area where the accidental danger exists to facilitate the evacuation of the crowd.

[0042] Each module in the above-mentioned intelligent security monitoring system with multi-scenario collaboration in the smart park can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above modules can be embedded in the processor of a computer device in hardware form or be independent of it, or be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to each of the above modules.

[0043] It should be noted that an intelligent security monitoring system with multi-scenario collaboration in the smart park disclosed in the embodiments of the present application is a system for realizing fire danger monitoring by using the existing hardware devices in the smart park. For example, an existing fully intelligent management system in the smart park includes a personnel management system, an administrative management system, and a security management system. The personnel management system includes an employee information management module and an attendance management module. The administrative management system includes a vehicle management module, a cafeteria management module, a dormitory management module, and a visitor management module. The security management system includes a video monitoring module and an authorized area management module. The video monitoring module is used to integrate the camera monitoring images, access control records, and intrusion alarm information in the park to achieve all-round security monitoring of the park. The authorized area management module is used to provide access to the corresponding authorized area gates and elevator floors according to the permissions of employees and the information registered by visitors. Among them, the video monitoring module and the visitor management module are used to register the information of visitors entering the park. Some of the hardware devices (such as access control gates and cameras) and embedded software (such as face recognition software) relied on by the visitor management module can be used as the device resources that can be utilized by the image acquisition device in the embodiments of the present application.

[0044] In one embodiment, a computer device is provided. This computer device can be a terminal, and its internal structure diagram can be as Figure 5 shown. This computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of this computer device is used to provide computing and control capabilities. The memory of this computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of this computer device is used to communicate with an external terminal in a wired or wireless manner. The wireless manner can be achieved through WIFI, a mobile cellular network, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it realizes an intelligent security monitoring method with multi-scenario collaboration in a smart park. The display screen of this computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of this computer device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the outer shell of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0045] Those skilled in the art can understand that Figure 5 The structure shown in Figure 5 is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0046] In one embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented: Step S100: Obtain the facial feature information of the visitor, and determine whether the visitor has the access permission according to the facial feature information; Step S200: If so, output a gate opening instruction indicating permission to pass, and record the visitor identity information, access time information, visited channel information, and passing direction information; Step S300: Obtain the access volume - time trend information according to the visitor identity information, access time information, visited channel information, and passing direction information; Step S400: Allocate corresponding cloud computing resources to the cloud computing access control recognition terminal corresponding to the visited channel information according to the access volume - time trend information corresponding to the visited channel information; Step S500: Obtain the visitor identity information, access time information, visited channel information, and passing direction information within the currently preset time period, and match them with the access volume - time trend to determine whether there is abnormal pedestrian flow; Step S600: If so, obtain the current image information to determine whether there is an accidental danger; Step S700: If so, open the gate channel of the area where there is an accidental danger to evacuate the crowd.

[0047] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: Step S100: Obtain the facial feature information of the visitor, and determine whether the visitor has the access permission according to the facial feature information; Step S200: If so, output a gate opening instruction indicating permission to pass, and record the visitor identity information, access time information, visited channel information, and passing direction information; Step S300: Obtain the access volume - time trend information according to the visitor identity information, access time information, visited channel information, and passing direction information; Step S400: Allocate corresponding cloud computing resources to the cloud computing access control recognition terminal corresponding to the visited channel information according to the access volume - time trend information corresponding to the visited channel information; Step S500: Obtain the visitor identity information, access time information, visited channel information, and passing direction information within the current preset time period, and match them with the access volume - time trend to determine whether there is abnormal pedestrian flow; Step S600: If so, obtain the current image information to determine whether there is an accidental danger; Step S700: If so, open the gate channel of the area with accidental danger to evacuate the crowd.

[0048] In one embodiment, a computer program product is provided, including a computer program which, when executed by a processor, implements the following steps: Step S100: Obtain the visitor facial feature information, and determine whether the passing permission is available according to the facial feature information; Step S200: If so, output a gate opening instruction indicating permission to pass, and record the visitor identity information, access time information, visited channel information, and passing direction information; Step S300: Obtain the access volume - time trend information according to the visitor identity information, access time information, visited channel information, and passing direction information; Step S400: Allocate corresponding cloud computing resources to the cloud computing access control recognition terminal corresponding to the visited channel information according to the access volume - time trend information corresponding to the visited channel information; Step S500: Obtain the visitor identity information, access time information, visited channel information, and passing direction information within the current preset time period, and match them with the access volume - time trend to determine whether there is abnormal pedestrian flow; Step S600: If so, obtain the current image information to determine whether there is an accidental danger; Step S700: If so, open the gate channel of the area with accidental danger to evacuate the crowd.

[0049] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0050] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0051] The above-described embodiments merely represent several implementation manners of the present application. Their descriptions are relatively specific and detailed, but they should not be construed as limiting the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. An intelligent security monitoring method for multi-scenario collaboration in an intelligent park, characterized in that, The method includes: Obtaining the facial feature information of the visitor, and judging whether the visitor has the access permission according to the facial feature information; If so, outputting a gate opening instruction indicating permission to pass, and recording the visitor identity information, access time information, visited channel information, and passing direction information; Obtaining the access volume - time trend information according to the visitor identity information, access time information, visited channel information, and passing direction information; Obtaining the visitor identity information, access time information, visited channel information, and passing direction information within the current preset time period, and matching them with the access volume - time trend to judge whether there is abnormal crowd flow; If so, obtaining the current image information to judge whether there is an accidental danger; If so, opening the gate channel of the area where there is an accidental danger to evacuate the crowd.

2. The method according to claim 1, characterized in that The specific steps of obtaining the access volume - time trend information according to the visitor identity information, access time information, visited channel information, and passing direction information include: Summarizing and saving the visitor identity information, access time information, and visited channel information within a day according to the access information to obtain the single - day access data information, and storing the single - day access data in a preset single - day access data information database to form a historical access information data table; Cutting the access time information of each single - day access data information in the historical access information data table corresponding to the same visited channel information at a preset unit time length to obtain the single - day access peak time period corresponding to the same visited channel information, and performing a union operation on the single - day access peak time periods corresponding to multiple working days to obtain the access volume - time trend information.

3. The method according to claim 2, characterized in that, The specific steps of obtaining the current image information to judge whether there is an accidental danger include; Obtaining the current image information of some or all image acquisition devices; Identifying the current image information to judge whether there are preset danger features, and the preset danger features include smoke features, flame features, high temperature, and / or high - brightness features corresponding to fire dangers; If there are the danger features, it indicates that there is an accidental danger; If there are no the danger features, it indicates that there is no accidental danger.

4. The method according to claim 3, characterized in that, The specific steps of obtaining the current image information of some or all image acquisition devices include: Obtaining the location information corresponding to the channel where abnormal crowd flow appears; Obtaining the image information within the area associated with the channel location information.

5. The method according to any one of claims 1 to 4, characterized in that The method further includes: allocating corresponding cloud computing resources to the cloud computing access control recognition terminal corresponding to the visited channel information according to the access volume - time trend information corresponding to the visited channel information.

6. The method according to claim 5, characterized in that The specific steps of allocating corresponding cloud computing resources to the cloud computing access control recognition terminal corresponding to the visited channel information according to the access volume - time trend information corresponding to the visited channel information include: Obtaining the number of visitors and / or frequency corresponding to different visited channels within the same time period; Calculating the number of visitors and / or frequency corresponding to some or all channels, and allocating cloud computing resources according to the number of visitors and / or frequency; After the end of the single - day access peak time period of the current channel, recycling at least part of the cloud computing resources for re - allocation.

7. An intelligent security monitoring system with multi-scenario collaboration in a smart park, characterized in that, Includes: The cloud computing terminal includes a turnstile and a facial image acquisition device, which are used to acquire and upload the facial features of visitors, and according to whether a gate opening instruction is obtained, The cloud server is used to acquire the facial feature information uploaded by the cloud computing terminal, and determine whether the facial feature information has the right to pass. If it has the right to pass, it outputs a gate opening instruction to the cloud computing terminal, and records the visitor identity information, access time information, visited channel information and passage direction information, so as to obtain the access volume-time trend; The image acquisition device is arranged in key areas within the park and in the channels where the cloud computing terminal is set, to collect images or videos of the corresponding areas; The cloud server is also connected to the image acquisition device to obtain the current image information, and analyze the current image information to determine whether there is an accidental danger. If an accidental danger occurs, an opening instruction is output to the turnstile associated with the area where the accidental danger exists to facilitate the evacuation of the crowd.

8. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method described in any one of claims 1 to 6.

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