Stadium access control parameter optimization method and device, medium and equipment

Abstract

The invention discloses a venue access control parameter optimization method and device, a medium and equipment, and the method comprises the steps: obtaining a multi-objective optimization model which is constructed based on an improved genetic-particle swarm fusion algorithm; current activity preset parameters and current activity real-time parameters of the venue are obtained, the current activity preset parameters comprise current activity time, current activity types, current activity number of people and current activity person types, and the current activity real-time parameters comprise real-time people flow density and real-time access control operation states; and executing a target step, namely inputting the current activity preset parameters and the current activity real-time parameters into the multi-target optimization model, and obtaining target access control parameters by taking passing efficiency maximization, people flow congestion rate minimization, safety risk minimization and activity adaptation degree maximization as target functions. The target access control parameters can meet the complex requirements of scenes.

Description

Technical Field

[0001] This application relates to the field of venue technology, and in particular, to a method, apparatus, medium, and equipment for optimizing venue access control parameters. Background Technology

[0002] Venue access control systems are core security subsystems that ensure venue safety, regulate personnel access, and improve operational efficiency. They are widely used in various public and private venues such as stadiums, conference centers, theaters, exhibition halls, libraries, and school auditoriums. Currently, access control methods that typically employ fixed channels, unified verification, and manual assistance are commonly used. However, these methods are ill-suited to the complex needs of venues, such as their requirements for congestion and access permissions. Summary of the Invention

[0003] The embodiments of this application provide a method, apparatus, medium, and equipment for optimizing venue access control parameters, which solves the technical problem that existing access control methods are difficult to adapt to the complex needs of venues.

[0004] Other features and advantages of this application will become apparent from the following detailed description, or may be learned in part from practice of this application.

[0005] According to a first aspect of this application, a method for optimizing venue access control parameters is provided, the method comprising:

[0006] A multi-objective optimization model is obtained, which is constructed based on an improved genetic-particle swarm optimization algorithm;

[0007] Obtain the current activity preset parameters and current activity real-time parameters of the venue. The current activity preset parameters include the current activity time, current activity type, current number of participants, and current participant type. The current activity real-time parameters include real-time crowd density and real-time access control operation status.

[0008] The execution of the target steps includes: inputting the current activity preset parameters and the current activity real-time parameters into the multi-objective optimization model, taking the maximization of traffic efficiency, the minimization of pedestrian congestion rate, the minimization of safety risk, and the maximization of activity adaptability as the objective function, to obtain the target access control parameters, which include access control access permissions, access control opening time, and access control verification mode.

[0009] In some embodiments of this application, based on the foregoing scheme, the method further includes:

[0010] Get the current time period;

[0011] If the current time period is a peak period, the weights of the objective function with respect to traffic efficiency, crowd congestion rate, safety risk, and venue suitability decrease sequentially.

[0012] If the current time period is a non-peak period, then the weight of the objective function with respect to safety risk is greater than the weight of the objective function with respect to traffic efficiency, crowd congestion rate and venue suitability.

[0013] In some embodiments of this application, based on the foregoing scheme, the method further includes:

[0014] Based on the real-time pedestrian density, the inertia weight of the multi-objective optimization model is adjusted, and the current pedestrian density is negatively correlated with the inertia weight.

[0015] In some embodiments of this application, based on the foregoing scheme, the method further includes:

[0016] Obtain the abnormal behavior parameters of the venue;

[0017] The safety risk is determined based on the abnormal behavior parameters and the real-time pedestrian density.

[0018] In some embodiments of this application, based on the foregoing scheme, determining the safety risk according to the abnormal behavior parameters and the real-time crowd density includes:

[0019] The abnormal behavior parameters are weighted according to a first preset coefficient, and the real-time pedestrian density is weighted according to a second preset coefficient. The sum of the weighted abnormal behavior parameters and the weighted real-time pedestrian density is taken as the safety risk.

[0020] In some embodiments of this application, based on the foregoing scheme, the multi-objective optimization model further includes an activity mapping relationship, which includes multiple activity types and access control parameters corresponding to each activity type. The method further includes:

[0021] Based on the activity mapping relationship, the current access control parameters corresponding to the current activity type are determined according to the current activity type;

[0022] The current access control parameters are used as constraints for the multi-objective optimization model.

[0023] In some embodiments of this application, based on the foregoing scheme, after the target execution step, the method further includes:

[0024] The access control system executes the target access control parameters to obtain the current passage rate, current congestion duration, and current verification success rate.

[0025] If the current traffic rate is less than the preset traffic rate, or the current congestion duration is greater than the preset congestion duration, or the current verification success rate is less than the preset success rate, return to the step of obtaining the current activity preset parameters and current activity real-time parameters of the venue.

[0026] According to a second aspect of this application, a venue access control parameter optimization device is provided, the device comprising:

[0027] The first acquisition unit acquires a multi-objective optimization model, which is constructed based on an improved genetic-particle swarm fusion algorithm.

[0028] The second acquisition unit acquires the current activity preset parameters and current activity real-time parameters of the venue. The current activity preset parameters include the current activity time, current activity type, current number of participants, and current participant type. The current activity real-time parameters include real-time crowd density and real-time access control operation status.

[0029] The first execution unit executes the target steps, including: inputting the current activity preset parameters and the current activity real-time parameters into the multi-objective optimization model, taking the maximization of traffic efficiency, the minimization of pedestrian congestion rate, the minimization of safety risk, and the maximization of activity adaptability as the objective function, to obtain the target access control parameters, the target access control parameters including access control access permission, access control opening time and access control verification mode.

[0030] According to a third aspect of this application, a computer-readable storage medium is provided having a computer program stored thereon, the computer program including executable instructions that, when executed by a processor, implement the method described in any embodiment of the first aspect of this application.

[0031] According to a fourth aspect of this application, an electronic device is provided, comprising: one or more processors; and a memory for storing executable instructions of the processors, which, when executed by the one or more processors, cause the one or more processors to implement the method described in any embodiment of the first aspect of this application.

[0032] The beneficial effects of this application are as follows:

[0033] By inputting the preset parameters and real-time parameters of the current activity into the multi-objective optimization model, the target access control parameters are obtained. On the one hand, the target access control parameters are adapted to the current activity situation and meet the needs of the current activity. On the other hand, the target access control parameters achieve a balance between traffic efficiency, crowd congestion rate, safety risk and activity adaptability.

[0034] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0035] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings:

[0036] Figure 1 A flowchart of a venue access control parameter optimization method according to an embodiment of this application is shown;

[0037] Figure 2 A block diagram of a venue access control parameter optimization device according to an embodiment of this application is shown;

[0038] Figure 3 A schematic diagram of a computer-readable storage medium in an embodiment of this application is shown;

[0039] Figure 4 A schematic diagram of the system structure of an electronic device in an embodiment of this application is shown. Detailed Implementation

[0040] Figure 1 A flowchart of a venue access control parameter optimization method according to an embodiment of this application is shown. See also: Figure 1 This paper provides a method for optimizing venue access control parameters. The method includes at least S1 to S3, which are described in detail below:

[0041] In step S1, a multi-objective optimization model is obtained, which is constructed based on an improved genetic-particle swarm fusion algorithm.

[0042] In some implementations, the improved genetic-particle swarm fusion algorithm has a particle population size of 60 to accommodate multi-channel optimization, a maximum number of iterations of 120, a crossover probability of 0.8, an initial mutation probability of 0.12, and a mutation probability that decreases to 0.08 by the 80th iteration.

[0043] In step S2, the preset parameters and real-time parameters of the current activity of the venue are obtained. The preset parameters include the current activity time, the current activity type, the current number of participants, and the current activity personnel type. The real-time parameters include the real-time crowd density and the real-time access control operation status.

[0044] In step S3, the target step is executed, including: inputting the current activity preset parameters and the current activity real-time parameters into the multi-objective optimization model, taking the maximization of traffic efficiency, the minimization of pedestrian congestion rate, the minimization of safety risk, and the maximization of activity adaptability as the objective function, to obtain the target access control parameters, which include access control access permission, access control opening time and access control verification mode.

[0045] In some implementations, the execution objective step includes: during the 1st to 30th iterations, using a particle swarm optimization algorithm, rapidly searching for the optimal region for channel allocation and door opening time using a velocity-position formula, wherein the velocity-position formula is: v i+1 =ωv i +c1r1(pbest i -x i )+c2r2(gbest-x i ), v i Let ω be the velocity vector of the i-th particle, c1 be the individual cognitive coefficient, c2 be the social learning coefficient, and r1 and r2 be random numbers. pbest i Let x be the optimal position vector of the i-th particle, and gbest be the optimal position vector of the entire particle swarm. i Let be the position vector of the i-th particle; during iterations 31 to 80, a crossover operation is triggered, performing two-point crossovers on particle groups in channels with a congestion rate greater than 0.6; during iterations 81 to 120, the mutation probability is reduced, and the inertia weight is dynamically adjusted based on real-time pedestrian density. The verification mode and the number of temporary channels are finely optimized, and the optimal parameter combination, i.e., the target access control parameters, is output.

[0046] For example, the two points of intersection are formed by the 3s of door opening and ticket verification of channel 1 and the 4s of door opening and QR code verification of channel 2. The intersection is the 4s of door opening and QR code verification of channel 1. The real-time flow density is represented by the channel congestion degree. When the channel congestion degree is greater than 0.8, the inertia weight decreases by 0.1.

[0047] In some implementations, the method further includes: obtaining the current time period; if the current time period is a peak period, the weights of the objective function with respect to traffic efficiency, crowd congestion rate, safety risk, and venue suitability decrease sequentially; if the current time period is an off-peak period, the weight of the objective function with respect to safety risk is greater than the weights of the objective function with respect to traffic efficiency, crowd congestion rate, and venue suitability.

[0048] In some implementations, if the current time period is a peak period, the weights of the objective function with respect to traffic efficiency, crowd congestion rate, safety risk, and venue suitability are 0.4, 0.3, 0.2, and 0.1, respectively; if the current time period is an off-peak period, the weight of the objective function with respect to safety risk is 0.4, and the weights of traffic efficiency, crowd congestion rate, and venue suitability are 0.2.

[0049] In some implementations, the method further includes: adjusting the inertia weights of the multi-objective optimization model based on the real-time pedestrian density, wherein the current pedestrian density is negatively correlated with the inertia weights.

[0050] In some implementations, the method further includes: acquiring abnormal behavior parameters of the venue; and determining the safety risk based on the abnormal behavior parameters and the real-time crowd density.

[0051] In some implementations, determining the safety risk based on the abnormal behavior parameters and the real-time pedestrian density includes: weighting the abnormal behavior parameters according to a first preset coefficient and weighting the real-time pedestrian density according to a second preset coefficient, and taking the sum of the weighted abnormal behavior parameters and the weighted real-time pedestrian density as the safety risk.

[0052] In some implementations, the multi-objective optimization model further includes an activity mapping relationship, which includes multiple activity types and access control parameters corresponding to each activity type. The method further includes: determining the current access control parameter corresponding to the current activity type based on the activity mapping relationship and the current activity type; and using the current access control parameter as a constraint condition of the multi-objective optimization model.

[0053] In some implementations, the current access control parameters are: 1s ≤ door opening time ≤ 5s, crossover rate between audience area and backstage area access control ≤ 0.01%, and abnormal behavior identification misjudgment rate ≤ 2.5%.

[0054] In some implementations, after the target step is executed, the method further includes: controlling the access control to execute the target access control parameters, obtaining the current passage rate, the current congestion duration, and the current verification success rate; if the current passage rate is less than a preset passage rate, or the current congestion duration is greater than a preset congestion duration, or the current verification success rate is less than a preset success rate, returning to the step of obtaining the venue's current activity preset parameters and current activity real-time parameters.

[0055] In some implementations, the venue includes an audience area, a backstage equipment area, and a rescue point area. The method further includes: if an emergency is detected, controlling the access control of the audience area to switch to a no-verification door opening mode, opening the access control of the emergency evacuation passage in the backstage equipment area, and temporarily opening the access control of the rescue point area.

[0056] In some implementations, the audience area includes a target area and other areas. In the event of a fire in the target area during the emergency, the access control system for the audience area switches to an unverified door opening mode, which includes: opening the access control system for the target area and extending the door opening time of the access control systems for other areas to 5 seconds.

[0057] For example, if a fire breaks out on the east side of the audience area, i.e., the target area, and the congestion level of the target area is greater than 0.9, the zoned emergency response will be activated within 3 seconds. The access control in the target area will switch to the no-verification opening mode, the turnstiles will be fully opened, and the access control screen will display: "Fire on the east side, evacuate to the west / north side." The opening time of the access control on the west / north side of the audience area will be extended to 5 seconds, maintaining the no-verification opening mode, and guiding the flow of people to evacuate outwards. The emergency evacuation channel in the backstage equipment area will be opened, and the access control verification mode will be set to actor mode for rapid verification, prohibiting audiences from entering. The access control outside the venue will be opened, and the emergency broadcast outside the venue will announce the evacuation route.

[0058] In some implementations, after controlling the access control of the audience area to switch to the no-verification opening mode, opening the access control of the emergency evacuation passage in the back-end equipment area, and temporarily opening the access control of the rescue point area within a preset time, the method further includes: if the emergency event is detected to have ended, restoring the venue's access control parameters to the target access control parameters.

[0059] In some implementations, after the emergency event is detected to have ended, the method further includes generating an emergency access log, the emergency access log including one or more of the following: open hours, types of people passing through, open access routes, number of people evacuated, and response markets.

[0060] In some implementations, the method further includes: if the access control of the target channel of the venue fails to verify the ticket N times consecutively, it is determined that the access control of the target channel has a verification terminal failure, and a backup step is executed, including: displaying the verification terminal failure on the screen of the target channel, switching to face-assisted verification, activating the face verification module of the access control of the target channel, and sending an alarm SMS to the target person, the alarm SMS including the location of the target channel and the failure type.

[0061] In some implementations, when performing facial verification, the facial verification module automatically matches ticketing information to prevent people without tickets from entering.

[0062] In some implementations, after the backup step is performed, the method further includes: if the access control verification terminal of the target channel returns to normal, then the access control of the target channel is switched to the ticketing + face verification mode.

[0063] To better understand the embodiments of this application, three examples are provided below:

[0064] Example 1: When the current event is a large-scale concert, the event duration is from 1 hour before the event to 30 minutes after the event. Before optimizing the access control parameters, there are 4 audience entrances with a 3-second opening time. All personnel use dual verification of ticketing and identity. There are no temporary entrances. After optimizing the access control parameters, the target access control parameters are:

[0065] (1) Peak entry time, from 1 hour before the event to the start of the event: 3 new temporary channels will be added, which means a total of 7 audience channels. The audience channels include ordinary audience channels and VIP channels. The ordinary audience channel will be open for 4-5 seconds and the verification mode will be simplified to electronic ticket scanning single verification. The VIP channel will be open for 3 seconds and the verification mode will be identity verification without ticket verification. The backstage channel will be verified by actor's name tag + face double verification and audience entry will be prohibited.

[0066] (2) The backstage area is closed during the event: the opening time of the audience passage is shortened to 2 seconds, and only 2 audience passages are opened for leaving or entering during the event. The backstage passage adds a staff departure registration and verification process.

[0067] (3) Peak evacuation time, 30 minutes after the event: all 7 audience passages are fully open, the opening time is extended to 5 seconds, all verification modes are closed, only crowd control is retained, and zoned guidance is set up to guide audiences in different areas to leave through the nearest passage.

[0068] When the access control system is controlled based on the target access control parameters, the congestion rate during peak entry times decreases from 45% to 12%, the average entry time for visitors is reduced from 28 minutes to 8 minutes, and the clearing time for crowds during peak evacuation times is reduced from 40 minutes to 15 minutes.

[0069] Example 2: The current activity is a sporting event, such as a football match, lasting from 2 hours before the match to 1 hour after. Before optimizing the access control parameters, there are 6 spectator lanes with a 3-second opening time. VIP lanes are shared with regular spectators, and there is no optimization during match breaks. After optimizing the access control parameters, the target access control parameters are:

[0070] (1) From 2 hours to 30 minutes before the match, i.e. the audience entry stage: 6 audience channels are divided into 4 ordinary audience channels and 2 VIP channels. The ordinary audience channels use ticket scanning verification and the opening time is 4 seconds. The VIP channels use identity + exclusive ticket verification and the opening time is 3 seconds. The opening time of the passage near the restrooms is shortened to 2 seconds to avoid local congestion.

[0071] (2) During breaks in the competition, i.e. the flow of people: a dedicated passage for the catering area is opened for 3 seconds. The verification mode is quick ticket verification. Spectators are prohibited from entering the player passage through physical isolation and double verification.

[0072] (3) One hour after the event, during the evacuation phase: Six spectator passages are opened, with a door opening time of 5 seconds. The verification mode is turned off, and the parking lot guidance system is linked to display the nearest parking lot route on the access control screen.

[0073] When the access control system is controlled based on the target access control parameters, the VIP entry time is reduced from 15 minutes to 3 minutes, and the congestion rate near the restrooms during the break between events is reduced from 35% to 8%.

[0074] Example 3: The current event is a trade fair / exhibition, lasting 3 days. Before optimizing the access control parameters, there were 2 general access channels with a 3-second opening time, and exhibitors and visitors were mixed-accessed. After optimizing the access control parameters, the target access control parameters are:

[0075] (1) 3 hours before the exhibition, i.e. the exhibitor entry stage: 2 exhibitor channels will be opened, and the verification method is double verification of exhibitor badge + exhibit transportation certificate. The opening time is 5 seconds. To accommodate equipment transportation, 1 construction personnel channel will be opened, and the verification method is temporary certificate + construction permit verification. The opening time is 3 seconds.

[0076] (2) From 1 hour before the exhibition to the audience entry stage: one fast lane will be set up, and the opening time for reserved audiences will be 3 seconds;

[0077] (3) After the exhibition is closed: the equipment is removed, only one equipment transportation channel is opened, and the verification mode is the verification of the transportation personnel certificate + equipment list. The door opening time is 5 seconds. Other channels are closed and set to security verification mode.

[0078] When the access control system is controlled based on the target access control parameters, exhibitors' equipment entry efficiency is increased by 50%, and the visitor verification success rate is increased from 85% to 98%.

[0079] In this application, the preset parameters and real-time parameters of the current activity are input into a multi-objective optimization model to obtain the target access control parameters. On the one hand, the target access control parameters are adapted to the current activity and meet the needs of the current activity. On the other hand, the target access control parameters achieve a balance between traffic efficiency, crowd congestion rate, safety risk and activity adaptability.

[0080] Figure 2 A block diagram of a venue access control parameter optimization device according to an embodiment of this application is shown. See also: Figure 2 According to a second aspect of this application, a venue access control parameter optimization device 100 is provided, the device comprising:

[0081] The first acquisition unit 101 acquires a multi-objective optimization model, which is constructed based on an improved genetic-particle swarm fusion algorithm.

[0082] The second acquisition unit 102 acquires the current activity preset parameters and current activity real-time parameters of the venue. The current activity preset parameters include the current activity time, current activity type, current number of participants, and current activity personnel type. The current activity real-time parameters include real-time crowd density and real-time access control operation status.

[0083] The first execution unit 103 executes the target steps, including: inputting the current activity preset parameters and the current activity real-time parameters into the multi-objective optimization model, taking the maximization of traffic efficiency, the minimization of pedestrian congestion rate, the minimization of safety risk, and the maximization of activity adaptability as the objective function, to obtain the target access control parameters, the target access control parameters including access control access permission, access control opening time and access control verification mode.

[0084] Based on the same inventive concept, as a third aspect, this application also provides a computer-readable storage medium storing a computer program thereon, the computer program including executable instructions that, when executed by a processor, implement the method described in any embodiment of the first aspect of this application.

[0085] In some possible implementations, various aspects of this application may also be implemented as a program product comprising program code that, when the program product is run on a terminal device, causes the terminal device to perform the steps described in the "Exemplary Methods" section of this specification according to various exemplary embodiments of this application.

[0086] refer to Figure 3As shown, a program product 200 for implementing the above-described method according to an embodiment of this application is described. It may employ a portable compact disc read-only memory (CD-ROM) and include program code, and can run on a terminal device, such as a personal computer. However, the program product of this application is not limited thereto. In this document, a readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0087] The program product may employ any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0088] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0089] The program code contained on the readable medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination thereof.

[0090] Program code for performing the operations of this application can be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, and conventional procedural programming languages ​​such as C or similar languages. The program code can execute entirely on the user's computing device, partially on the user's device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0091] In another respect, this application also provides an electronic device capable of implementing the above-described method.

[0092] Those skilled in the art will understand that various aspects of this application can be implemented as a system, method, or program product. Therefore, various aspects of this application can be specifically implemented in the following forms: a completely hardware implementation, a completely software implementation (including firmware, microcode, etc.), or a combination of hardware and software implementations, collectively referred to herein as a "circuit," "module," or "system."

[0093] The following reference Figure 4 To describe an electronic device 300 according to this embodiment of the present application. Figure 4 The electronic device 300 shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0094] like Figure 4 As shown, the electronic device 300 is manifested in the form of a general-purpose computing device. The components of the electronic device 300 may include, but are not limited to: at least one processing unit 310, at least one storage unit 320, and a bus 330 connecting different system components (including storage unit 320 and processing unit 310).

[0095] The storage unit stores program code that can be executed by the processing unit 310, causing the processing unit 310 to perform the steps described in the "Embodiment Methods" section above according to various exemplary embodiments of this application.

[0096] Storage unit 320 may include readable media in the form of volatile storage units, such as random access memory (RAM) 321 and / or cache memory 322, and may further include read-only memory (ROM) 323.

[0097] Storage unit 320 may also include a program / utility 324 having a set (at least one) of program modules 325, including but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0098] Bus 330 can represent one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any of the various bus structures.

[0099] Electronic device 300 can also communicate with one or more external devices 400 (e.g., keyboard, pointing device, Bluetooth device, etc.), and with one or more devices that enable a user to interact with the electronic device 300, and / or with any device that enables the electronic device 300 to communicate with one or more other computing devices (e.g., router, modem, etc.). This communication can be performed via input / output (I / O) interface 350. Furthermore, electronic device 300 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 360. Figure 4 As shown, network adapter 360 communicates with other modules of electronic device 300 via bus 330. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0100] The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored as one or more instructions or codes on or transmitted via a computer-readable medium. Other examples and embodiments are within the scope and spirit of this application and the appended claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hardwired, or any combination thereof. Furthermore, the functional units may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit.

[0101] The above description is merely an embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for optimizing venue access control parameters, characterized in that... The method includes: A multi-objective optimization model is obtained, which is constructed based on an improved genetic-particle swarm optimization algorithm; Obtain the current activity preset parameters and current activity real-time parameters of the venue. The current activity preset parameters include the current activity time, current activity type, current number of participants, and current participant type. The current activity real-time parameters include real-time crowd density and real-time access control operation status. The execution of the target steps includes: inputting the current activity preset parameters and the current activity real-time parameters into the multi-objective optimization model, taking the maximization of traffic efficiency, the minimization of pedestrian congestion rate, the minimization of safety risk, and the maximization of activity adaptability as the objective function, to obtain the target access control parameters, which include access control access permissions, access control opening time, and access control verification mode.

2. The venue access control parameter optimization method according to claim 1, characterized in that, The method further includes: Get the current time period; If the current time period is a peak period, the weights of the objective function with respect to traffic efficiency, crowd congestion rate, safety risk, and venue suitability decrease sequentially. If the current time period is a non-peak period, then the weight of the objective function with respect to safety risk is greater than the weight of the objective function with respect to traffic efficiency, crowd congestion rate and venue suitability.

3. The venue access control parameter optimization method according to claim 1, characterized in that, The method further includes: Based on the real-time pedestrian density, the inertia weight of the multi-objective optimization model is adjusted, and the current pedestrian density is negatively correlated with the inertia weight.

4. The method for optimizing venue access control parameters according to claim 1, characterized in that, The method further includes: Obtain the abnormal behavior parameters of the venue; The safety risk is determined based on the abnormal behavior parameters and the real-time pedestrian density.

5. The method for optimizing venue access control parameters according to claim 4, characterized in that, The determination of the safety risk based on the abnormal behavior parameters and the real-time pedestrian density includes: The abnormal behavior parameters are weighted according to a first preset coefficient, and the real-time pedestrian density is weighted according to a second preset coefficient. The sum of the weighted abnormal behavior parameters and the weighted real-time pedestrian density is taken as the safety risk.

6. The method for optimizing venue access control parameters according to claim 1, characterized in that, The multi-objective optimization model further includes an activity mapping relationship, which includes multiple activity types and access control parameters corresponding to each activity type. The method further includes: Based on the activity mapping relationship, the current access control parameters corresponding to the current activity type are determined according to the current activity type; The current access control parameters are used as constraints for the multi-objective optimization model.

7. The method for optimizing venue access control parameters according to claim 1, characterized in that, After the execution of the target step, the method further includes: The access control system executes the target access control parameters to obtain the current passage rate, current congestion duration, and current verification success rate. If the current traffic rate is less than the preset traffic rate, or the current congestion duration is greater than the preset congestion duration, or the current verification success rate is less than the preset success rate, return to the step of obtaining the current activity preset parameters and current activity real-time parameters of the venue.

8. A device for optimizing venue access control parameters, characterized in that, The device includes: The first acquisition unit acquires a multi-objective optimization model, which is constructed based on an improved genetic-particle swarm fusion algorithm. The second acquisition unit acquires the current activity preset parameters and current activity real-time parameters of the venue. The current activity preset parameters include the current activity time, current activity type, current number of participants, and current participant type. The current activity real-time parameters include real-time crowd density and real-time access control operation status. The first execution unit executes the target steps, including: inputting the current activity preset parameters and the current activity real-time parameters into the multi-objective optimization model, taking the maximization of traffic efficiency, the minimization of pedestrian congestion rate, the minimization of safety risk, and the maximization of activity adaptability as the objective function, to obtain the target access control parameters, the target access control parameters including access control access permission, access control opening time and access control verification mode.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program includes executable instructions that, when executed by a processor, implement the method of any one of claims 1-7.

10. An electronic device, characterized in that, include: One or more processors; A memory for storing executable instructions of the processor, which, when executed by the one or more processors, cause the one or more processors to perform the method according to any one of claims 1-7.

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