Campus safety emergency management system and method based on digital twinborn technology
By applying digital twin technology in campus safety management, collecting and analyzing personnel information in real time and generating activity track mirror images, the problems of low intelligence and low response efficiency of campus safety management in the existing technology are solved, and efficient security and anti-theft monitoring and early warning are achieved.
Patent Information
- Application Number
- CN202411981469.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-06-20
AI Technical Summary
The existing campus safety management methods are low in intelligence and lack scientificity. The backend supervision technology has problems such as complex system architecture and low response and judgment efficiency, making it difficult to effectively improve campus anti-theft security.
The campus security emergency management system based on digital twin technology is adopted. Through the security layout module, information collection module, information verification module, target tracking module and threat judgment module, we collect and analyze the information of personnel on campus in real time, generate activity track mirror images, and determine whether there is a threat triggering situation of staying or staying within the high warning level area.
It has achieved efficient safety and anti-theft monitoring and early warning in key supervision areas on campus. The data processing is simple and efficient, and can accurately judge security threats and respond to coordinated alarms in a timely manner, which has improved the efficiency and reliability of campus safety management.
Smart Images
Figure CN120183098A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of secure data processing, and particularly to a campus security emergency management system and method based on digital twin technology. Background Art
[0002] A campus is an educational place integrating students' study and life. Many students' study, accommodation, dining and other affairs are completed within the school. It is particularly important for the school to conduct effective management. The quality of the campus environment directly determines the normal growth of each student. To ensure the daily safety supervision of the school, the conventional security management method is to use patrols to supervise the behaviors of outsiders and to prevent theft of materials and other properties on campus. This security supervision method has a low degree of intelligence and lacks scientificity. Some background supervision technologies implemented using network technology have problems such as complex system architectures and low response judgment efficiency. Therefore, there is an urgent need for an efficient campus security management technology to improve campus anti-theft security. Summary of the Invention
[0003] The purpose of this application is to provide a campus security emergency management system and method based on digital twin technology to solve the technical problems raised in the above background.
[0004] To achieve the above purpose, this application discloses the following technical solutions:
[0005] In a first aspect, this application provides a campus security emergency management system based on digital twin technology, including a security layout module, an information collection module, an information verification module, a target tracking module, and a threat judgment module;
[0006] The security layout module is configured to: divide the campus environment into several regional ranges with different warning levels;
[0007] The information collection module is configured to: in the configuration mode, collect the personnel information on campus and establish a permanent personnel database; and is also configured to: in the application mode, use at least one of the information collection modules to collect the personnel information on campus in real time;
[0008] The information verification module is configured to: in the application mode, match the personnel information collected by the information collection module with the data in the permanent personnel database, and use the personnel information that fails to match successfully as the verification target;
[0009] The target tracking module is configured to: perform position tracking on the verification target based on the personnel information collected in real time by the information collection module, match the tracked position with the area range in the security layout module to obtain the activity area of the verification target, and generate a mirror image of the activity track of the verification target on the map data corresponding to the area range of the campus environment using digital twin technology;
[0010] The threat judgment module is configured to: based on the activity area corresponding to a verification target tracked by the target tracking module in real time, obtain whether there is a threat trigger situation where the verification target stays or lingers within the area range of the high warning level. When the threat trigger situation occurs, it is determined that the verification target has a security threat, and a on-site cooperation investigation alarm is issued for reminder. Otherwise, until the verification target leaves the campus environment, the threat judgment of the verification target ends.
[0011] Preferably, the generation of the mirror image of the activity track of the verification target on the map data corresponding to the area range of the campus environment using digital twin technology specifically includes:
[0012] Using data twin technology to generate map data corresponding to the area range of the campus environment, and coloring the area range with different colors corresponding to the warning levels;
[0013] Based on the activity area obtained by the target tracking module, mark the activity area in the map data corresponding to the area range, and connect the adjacent activity areas in the order along the timeline to obtain the mirror image of the activity track.
[0014] Preferably, the obtaining of whether there is a threat trigger situation where the verification target stays or lingers within the area range of the high warning level specifically includes:
[0015] When the activity area in the mirror image of the activity track does not overlap with the area range of the high warning level, it is determined that there is no threat trigger situation for the verification target;
[0016] When there is an overlap between the active area in the mirror image of the activity trajectory and the area range of the high warning level, the active area in the mirror image of the activity trajectory that overlaps with the area range of the high warning level is marked with emphasis, and time points are assigned to the emphasized active area, an active area before the first active area that overlaps with the area range of the high warning level, and an active area after the last active area that overlaps with the area range of the high warning level according to the time line; wherein, when there is no active area after the last active area that overlaps with the area range of the high warning level, it is determined that there is a threat trigger situation for the verification target; otherwise, calculate the time difference ΔT between an active area before the first active area that overlaps with the area range of the high warning level and an active area after the last active area that overlaps with the area range of the high warning level, obtain the predicted travel time t between an active area before the first active area that overlaps with the area range of the high warning level and an active area after the last active area that overlaps with the area range of the high warning level based on the map data of the area range, and analyze the detention coefficient P, wherein, δ is a preset traffic efficiency coefficient, and δ≥1. When the detention coefficient P>1, it is determined that there is a threat trigger situation for the verification target; when the detention coefficient P≤1, it is determined that there is no threat trigger situation for the verification target.
[0017] Preferably, obtaining whether there is a threat trigger situation that the verification target stays or lingers within the area range of the high warning level further includes:
[0018] Using digital twin technology to add the layout points of the information collection modules in the campus environment in the mirror image of the activity trajectory, wherein at least one of the information collection modules is provided on each traffic path in the campus environment, and at least one of the information collection modules is provided at the security prevention positions in the campus environment;
[0019] Compare the active area corresponding to the verification target in the mirror image of the activity trajectory with the layout points to obtain whether the verification target has the behavior of avoiding the layout points. When there is the behavior of avoiding the layout points, it is determined that there is a threat trigger situation for the verification target; otherwise, it is determined that there is no threat trigger situation for the verification target.
[0020] Preferably, whether there is the behavior of avoiding the layout points specifically includes:
[0021] Section analysis: Based on connecting adjacent active areas in sequence along the time line, obtain the line segment between two adjacent active areas corresponding to the verification target in sequence along the time line;
[0022] Omission analysis: Analyze whether there is an information collection module in the map data corresponding to this line segment that fails to track the verification target. When there is an information collection module in the map data corresponding to this line segment that fails to track the verification target, it is defined as an omission in collection.
[0023] Behavior analysis: Analyze the number of times M of omitted collection corresponding to the verification target. When M > M0, it indicates that the verification target has the behavior of avoiding the layout point; otherwise, it indicates that the verification target does not have the behavior of avoiding the layout point, where M0 is a preset reference comparison threshold.
[0024] In a second aspect, the present application provides a campus safety emergency management method based on digital twin technology. The method includes the following steps:
[0025] Divide the campus environment into several area ranges with different warning levels.
[0026] Collect the personnel information on campus and establish a permanent personnel database.
[0027] During the safety emergency warning management process, collect the personnel information on campus in real time, match the personnel information collected by the information collection module with the data in the permanent personnel database, and use the unmatched personnel information as the verification target.
[0028] Based on the personnel information collected in real time, track the location of the verification target, and match the tracked location with the divided area range to obtain the activity area of the verification target.
[0029] Use digital twin technology to generate a mirror image of the activity track of the verification target on the map data corresponding to the area range of the campus environment.
[0030] Based on the activity area corresponding to a verification target tracked in real time, obtain whether there is a threat trigger situation where the verification target stays or lingers in the area range with a high warning level. When the threat trigger situation occurs, determine that the verification target has a security threat and issue an on-site cooperation investigation alarm for prompt. Otherwise, until the verification target leaves the campus environment, end the threat judgment of the verification target.
[0031] Preferably, the use of digital twin technology to generate a mirror image of the activity track of the verification target on the map data corresponding to the area range of the campus environment specifically includes:
[0032] Use data twin technology to generate the map data corresponding to the area range of the campus environment, and color the area range with different colors corresponding to the warning levels.
[0033] Based on the activity area of the verification target obtained, mark the activity area in the map data corresponding to the area range, and connect adjacent activity areas in the order along the timeline to obtain the activity trajectory mirror image.
[0034] Preferably, the obtaining of whether there is a threat trigger situation where the verification target stays or lingers within the area range of the high warning level specifically includes:
[0035] When the activity area in the activity trajectory mirror image does not overlap with the area range of the high warning level, it is determined that there is no threat trigger situation for the verification target;
[0036] When the activity area in the activity trajectory mirror image overlaps with the area range of the high warning level, key mark the activity areas in the activity trajectory mirror image that overlap with the area range of the high warning level, and assign time points to the key-marked activity areas, the activity area before the first activity area that overlaps with the area range of the high warning level, and the activity area after the last activity area that overlaps with the area range of the high warning level according to the timeline; among them, when there is no activity area after the last activity area that overlaps with the area range of the high warning level, it is determined that there is a threat trigger situation for the verification target; otherwise, calculate the time difference ΔT between the activity area before the first activity area that overlaps with the area range of the high warning level and the activity area after the last activity area that overlaps with the area range of the high warning level, obtain the predicted travel time t between the activity area before the first activity area that overlaps with the area range of the high warning level and the activity area after the last activity area that overlaps with the area range of the high warning level based on the map data of the area range, and analyze the retention coefficient P. Among them, δ is a preset traffic efficiency coefficient, and δ≥1. When the retention coefficient P>1, it is determined that there is a threat trigger situation for the verification target; when the retention coefficient P≤1, it is determined that there is no threat trigger situation for the verification target.
[0037] Preferably, the obtaining of whether there is a threat trigger situation where the verification target stays or lingers within the area range of the high warning level further includes:
[0038] Use digital twin technology to add the layout points of the devices for collecting personnel information in the campus environment in the activity trajectory mirror image, where at least one device for collecting personnel information is set on each traffic path in the campus environment, and at least one device for collecting personnel information is set at the security prevention positions in the campus environment;
[0039] Compare the activity area corresponding to the verification target in the mirror image of the activity track with the arrangement point to obtain whether the verification target has an act of avoiding the arrangement point. When there is an act of avoiding the arrangement point, it is determined that there is a threat trigger situation for the verification target; otherwise, it is determined that there is no threat trigger situation for the verification target.
[0040] Preferably, whether there is an act of avoiding the arrangement point specifically includes:
[0041] Section analysis: Based on connecting adjacent activity areas in sequence along the timeline, obtain the line segment between two adjacent activity areas corresponding to the verification target in sequence along the timeline;
[0042] Omission analysis: Analyze whether there is an information collection module that has not traced the verification target in the map data corresponding to the line segment. And when there is a device for collecting personnel information that has not traced the verification target in the map data corresponding to the line segment, it is defined as an omission collection.
[0043] Behavior analysis: Analyze the number of times of omission collection M corresponding to the verification target. When M > M0, it indicates that the verification target has an act of avoiding the arrangement point; otherwise, it indicates that the verification target does not have an act of avoiding the arrangement point, where M0 is a preset reference comparison threshold.
[0044] Beneficial effects: The campus safety emergency management system and method based on digital twin technology of the present application, based on digital twin technology, regional scope division, and personnel information collection and tracking methods, perform position tracking and judgment on the personnel coming to the school, and realize efficient security anti-theft monitoring and early warning for key supervision areas. During the monitoring and early warning process, data processing is simple and efficient, and can accurately give judgment results, and then combine the responses of relevant personnel to the cooperation investigation alarms to timely achieve threat avoidance. The system architecture and implementation process are simple, and it has high efficiency and reliability. Brief Description of the Drawings
[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application. For those skilled in the art, without creative efforts, other drawings can be obtained based on these drawings.
[0046] Figure 1 It is the system architecture block diagram of the campus safety emergency management system based on digital twin technology provided by the embodiment of the present application;
[0047] Figure 2This is a schematic diagram of the overall architecture of an exemplary software platform built based on the solution of this application. Detailed implementation manners
[0048] The technical solutions in the embodiments of this application will be described clearly and completely below. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts shall fall within the protection scope of this application.
[0049] In this article, the term "including" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such process, method, article or device. Without further limitations, the elements defined by the statement "including..." do not exclude the existence of additional identical elements in the process, method, article or device including the said elements.
[0050] This embodiment discloses, in a first aspect, a campus safety emergency management system based on digital twin technology as shown in Figure 1 Figure 1, which includes a safety layout module, an information collection module, an information verification module, a target tracking module, and a threat judgment module.
[0051] The safety layout module is configured to: divide the campus environment into several area ranges with different warning levels. Each area range can be locations with high safety requirements such as the school's finance office and dormitory building.
[0052] The information collection module is configured to: in the configuration mode, collect the personnel information in the campus and establish a permanent personnel database; it is also configured to: in the application mode, use at least one of the information collection modules to collect the personnel information in the campus in real time. It should be noted here that the configuration mode is the mode of presetting data, and the permanent personnel database can store, but is not limited to, the personnel information corresponding to students, teachers or relevant on-the-job personnel set for different area ranges. On the other hand, the application mode refers to the working process of conducting safety emergency warnings. The collected personnel information can include, but is not limited to, facial features or body type features, etc.
[0053] The information verification module is configured to: in the application mode, match the personnel information collected by the information collection module with the data in the permanent personnel database, and use the personnel information that fails to match successfully as the verification target. The data matching here can be used to obtain the identity of the corresponding personnel information based on face analysis technology or body type analysis technology in the prior art.
[0054] The target tracking module is configured to: perform position tracking on the verification target based on the personnel information collected in real time by the information collection module, match the tracked position with the area range in the security layout module to obtain the activity area of the verification target, and generate a mirror image of the activity track of the verification target on the map data corresponding to the area range of the campus environment using digital twin technology.
[0055] The threat judgment module is configured to: based on the activity area corresponding to a verification target tracked by the target tracking module in real time, obtain whether there is a threat trigger situation where the verification target stays or lingers within the area range of the high warning level. When the threat trigger situation occurs, it is determined that the verification target has a security threat, and a on-site cooperation investigation alarm is issued for prompt. Otherwise, until the verification target leaves the campus environment, the threat judgment of the verification target ends.
[0056] In this embodiment, the generation of the mirror image of the activity track of the verification target on the map data corresponding to the area range of the campus environment using digital twin technology specifically includes:
[0057] Using data twin technology to generate map data corresponding to the area range of the campus environment, and coloring the area range with different colors corresponding to the warning levels;
[0058] Based on the activity area obtained by the target tracking module, mark the activity area in the map data corresponding to the area range, and connect adjacent activity areas in the order along the timeline to obtain the mirror image of the activity track.
[0059] As a preferred implementation manner of this embodiment, the obtaining of whether there is a threat trigger situation where the verification target stays or lingers within the area range of the high warning level specifically includes:
[0060] When the activity area in the mirror image of the activity track does not overlap with the area range of the high warning level, it is determined that there is no threat trigger situation for the verification target;
[0061] When there is an overlap between the active area in the mirror image of the activity trajectory and the area range of the high warning level, the active area in the mirror image of the activity trajectory that overlaps with the area range of the high warning level is marked with emphasis, and time points are assigned to the emphasized active area, an active area before the first active area that overlaps with the area range of the high warning level, and an active area after the last active area that overlaps with the area range of the high warning level according to the time line; wherein, when there is no active area after the last active area that overlaps with the area range of the high warning level, it is determined that there is a threat trigger situation for the verification target; otherwise, calculate the time difference ΔT between an active area before the first active area that overlaps with the area range of the high warning level and an active area after the last active area that overlaps with the area range of the high warning level, obtain the predicted travel time t between an active area before the first active area that overlaps with the area range of the high warning level and an active area after the last active area that overlaps with the area range of the high warning level based on the map data of the area range, and analyze the detention coefficient P, wherein, δ is a preset traffic efficiency coefficient, and δ≥1. When the detention coefficient P>1, it is determined that there is a threat trigger situation for the verification target. When the detention coefficient P≤1, it is determined that there is no threat trigger situation for the verification target.
[0062] In addition, as another preferred implementation manner of this embodiment, obtaining whether there is a threat trigger situation that the verification target stays or lingers within the area range of the high warning level further includes:
[0063] Using digital twin technology to add the layout points of the information collection modules in the campus environment to the mirror image of the activity trajectory. Among them, at least one of the information collection modules is set on each traffic path in the campus environment, and at least one of the information collection modules is set at the security prevention positions in the campus environment;
[0064] Compare the active area corresponding to the verification target in the mirror image of the activity trajectory with the layout points to obtain whether the verification target has the behavior of avoiding the layout points. When there is the behavior of avoiding the layout points, it is determined that there is a threat trigger situation for the verification target. Otherwise, it is determined that there is no threat trigger situation for the verification target.
[0065] At the same time, whether there is the behavior of avoiding the layout points specifically includes:
[0066] Section analysis: Based on connecting adjacent active areas in sequence along the time line, obtain the line segment between two adjacent active areas corresponding to the verification target in sequence along the time line;
[0067] Omission analysis: Analyze whether there is an information collection module in the map data corresponding to the line segment that fails to track the verification target. When there is an information collection module in the map data corresponding to the line segment that fails to track the verification target, it is defined as an omission in collection.
[0068] Behavior analysis: Analyze the number of times M of omission in collection corresponding to the verification target. When M > M0, it indicates that the verification target has the behavior of avoiding the layout point; otherwise, it indicates that the verification target does not have the behavior of avoiding the layout point, where M0 is a preset reference comparison threshold.
[0069] It should be noted that in one implementation, using the retention coefficient P and whether there is a behavior of avoiding the layout point to judge whether there is a threat trigger situation where the verification target stays or lingers within the area of high warning level are parallel and non-interfering technical means. That is, the result obtained by using the retention coefficient P to judge and the result obtained by using whether there is a behavior of avoiding the layout point to judge coexist. When any one of the corresponding obtained results indicates that there is a threat trigger situation where the verification target stays or lingers within the area of high warning level, a on-site cooperation investigation alarm is issued for prompt. In this way, reliable and accurate judgment of threat trigger situations can be achieved using a simple algorithm, and then timely disposal of security threats can be realized.
[0070] In summary, the campus security emergency management system provided in this embodiment, based on digital twin technology, regional scope division, and personnel information collection and tracking methods, tracks and judges the positions of incoming personnel, and realizes efficient security anti-theft monitoring and early warning for key supervision areas. During the monitoring and early warning process, data processing is simple and efficient, and can accurately give judgment results, and then threat avoidance can be realized in a timely manner by combining the responses of relevant personnel to the cooperation investigation alarm. The system architecture and implementation process are simple, with high efficiency and reliability.
[0071] In the second aspect of this embodiment, a campus security emergency management method based on digital twin technology is disclosed. The method includes the following steps:
[0072] Divide the campus environment into several regional scopes with different warning levels;
[0073] Collect the personnel information on campus and establish a database of permanent residents;
[0074] During the process of security emergency early warning management, collect the personnel information on campus in real time, match the personnel information collected by the information collection module with the data in the database of permanent residents, and use the personnel information that fails to match successfully as the verification target;
[0075] Track the location of the verification target based on the real-time collected personnel information, and match the tracked location with the divided area range to obtain the activity area of the verification target;
[0076] Use digital twin technology to generate a mirror image of the activity trajectory of the verification target on the map data corresponding to the area range of the campus environment;
[0077] Based on the activity area corresponding to a tracked verification target in real time, obtain whether there is a threat trigger situation where the verification target stays or lingers within the area range of the high warning level. When the threat trigger situation occurs, determine that the verification target has a security threat and issue an on-site assistance investigation alarm for prompt. Otherwise, until the verification target leaves the campus environment, end the threat judgment of the verification target.
[0078] Feasibly, the use of digital twin technology to generate a mirror image of the activity trajectory of the verification target on the map data corresponding to the area range of the campus environment specifically includes:
[0079] Use data twin technology to generate map data corresponding to the area range of the campus environment, and color the area range with different colors corresponding to the warning levels;
[0080] Based on the obtained activity area of the verification target, mark the activity area in the map data corresponding to the area range, and connect the adjacent activity areas in the order along the timeline to obtain the mirror image of the activity trajectory.
[0081] Feasibly, the obtaining of whether there is a threat trigger situation where the verification target stays or lingers within the area range of the high warning level specifically includes:
[0082] When the activity area in the mirror image of the activity trajectory does not overlap with the area range of the high warning level, determine that there is no threat trigger situation for the verification target;
[0083] When there is an overlap between the active area in the mirror image of the activity trajectory and the area range of the high warning level, mark the active area in the mirror image of the activity trajectory that overlaps with the area range of the high warning level, and assign time points to the marked active area, the active area before the first active area that overlaps with the area range of the high warning level, and the active area after the last active area that overlaps with the area range of the high warning level according to the time line; wherein, when there is no active area after the last active area that overlaps with the area range of the high warning level, it is determined that there is a threat trigger situation for the verification target; otherwise, calculate the time difference ΔT between the active area before the first active area that overlaps with the area range of the high warning level and the active area after the last active area that overlaps with the area range of the high warning level, obtain the predicted travel time t between the active area before the first active area that overlaps with the area range of the high warning level and the active area after the last active area that overlaps with the area range of the high warning level based on the map data of the area range, and analyze the detention coefficient P. Wherein, δ is a preset traffic efficiency coefficient, and δ≥1. When the detention coefficient P>1, it is determined that there is a threat trigger situation for the verification target. When the detention coefficient P≤1, it is determined that there is no threat trigger situation for the verification target.
[0084] Feasibly, obtaining whether there is a threat trigger situation that the verification target stays or lingers within the area range of the high warning level further includes:
[0085] Using digital twin technology to add the layout points of the devices for collecting personnel information in the campus environment to the mirror image of the activity trajectory, wherein at least one device for collecting personnel information is set on each traffic path in the campus environment, and at least one device for collecting personnel information is set at the security prevention positions in the campus environment;
[0086] Compare the active area corresponding to the verification target in the mirror image of the activity trajectory with the layout points to obtain whether the verification target has the behavior of avoiding the layout points. When there is the behavior of avoiding the layout points, it is determined that there is a threat trigger situation for the verification target. Otherwise, it is determined that there is no threat trigger situation for the verification target.
[0087] Feasibly, whether there is the behavior of avoiding the layout points specifically includes:
[0088] Section analysis: Based on connecting adjacent active areas in sequence along the time line, obtain the line segment between two adjacent active areas corresponding to the verification target in sequence along the time line.
[0089] Omission analysis: Analyze whether there is an information collection module in the map data corresponding to this line segment that has not traced the verification target. When there is a device for collecting personnel information in the map data corresponding to this line segment that has not traced the verification target, it is defined as an omission in collection.
[0090] Behavior analysis: Analyze the number of times M of omitted collection corresponding to the verification target. When M > M0, it indicates that the verification target has the behavior of avoiding the layout point; otherwise, it indicates that the verification target does not have the behavior of avoiding the layout point, where M0 is a preset benchmark comparison threshold.
[0091] It should be noted that the campus safety emergency management system based on digital twin technology described in this embodiment corresponds to the campus safety emergency management method based on digital twin technology. Therefore, for the parts not further disclosed in the campus safety emergency management method based on digital twin technology in this text, reference can be made to the relevant descriptions in the aforementioned campus safety emergency management system based on digital twin technology. At the same time, for the beneficial effects corresponding to the campus safety emergency management method based on digital twin technology, reference can also be made to the descriptions in the aforementioned campus safety emergency management system based on digital twin technology, which will not be elaborated in this text.
[0092] Through the above-disclosed campus safety emergency management system and method based on digital twin technology, the following hardware structures can be cooperated to implement, and these hardware structures include but are not limited to: the education bureau end management platform (server and software), the school end management platform (touch screen host and software), the emergency broadcast device (emergency broadcast host, UPS, wireless microphone, walkie-talkie, a set of 4 flower-shaped high-definition speakers), the safety education electronic large screen, the AI intelligent monitoring device (including AI recognition functions such as water-related, crowded in the corridor, and crossing the railing), and the campus safety mobile APP.
[0093] Among them, the school end management platform can have the following characteristics:
[0094] 1 - Function: Summarize data to the superior platform, receive and process the instructions and information issued by the superior platform (including notices, broadcast information, and emergency safety publicity knowledge), and as the main business end, implement all functions of campus safety emergency management.
[0095] 2 - Equipment characteristics:
[0096] The touch screen host is installed with the campus safety emergency management platform (campus end) software.
[0097] Usually receive the broadcast messages and safety publicity knowledge issued by the platform, and can be used as the release of emergency broadcasts in case of emergency.
[0098] Support various modes of graphics, text, audio, and video.
[0099] The emergency broadcast equipment can have the following features:
[0100] 1 - Function: Realize the playback of the school emergency broadcast, meet the requirements of coverage, independence, difference, and timeliness of the emergency drill broadcast of the Provincial Department of Education, and can be used normally in the environment of network disconnection and power failure;
[0101] 2 - Equipment features:
[0102] Meet the requirements of coverage, independence, difference, and timeliness of the emergency drill broadcast of the Provincial Department of Education, and can be used normally in the environment of network disconnection and power failure;
[0103] The flower-shaped high-definition speaker has an oval outer cover, is equipped with a direct-radiating full-frequency speaker, has a high sound pressure level, a long sound transmission distance, 3 air vents, and has strong wind resistance.
[0104] The safety education electronic display screen can have the following features:
[0105] 1 - Function: Realize the publicity of campus safety emergency education knowledge (including graphic, text, audio, and video formats), support timing, automatic carousel, and sharing;
[0106] 2 - Equipment features:
[0107] Support customized screen size;
[0108] Support automatic power-on / off and timed carousel;
[0109] Accept platform management, automatically receive, process, and store the safety education materials released by the platform;
[0110] Support various modes of graphic, text, audio, and video.
[0111] The AI intelligent monitoring equipment can have the following features:
[0112] 1 - Function: Realize the all-weather and real-time monitoring of campus safety, conduct intelligent analysis on the monitoring images, realize behavior recognition and abnormal monitoring, and automatically alarm for abnormal behaviors;
[0113] 2 - Equipment features:
[0114] All-weather and real-time monitoring of the campus;
[0115] Conduct intelligent analysis on the monitoring images, realize the monitoring of abnormal behaviors (including wading, crowding, and crossing the railing, etc.), and automatically alarm for abnormal behaviors.
[0116] The campus safety mobile APP can have the following features:
[0117] 1 - Function: Can automatically wake up and emit different alarm sounds in case of emergency;
[0118] 2 - Equipment features:
[0119] For the use of the terminals of management personnel (such as teachers or security personnel), it supports the broadcasts and emergency safety publicity knowledge released by management personnel;
[0120] Autonomous listening and reading of emergency safety publicity knowledge and broadcasts (daily broadcasts, emergency broadcasts, and drill broadcasts);
[0121] It has an automatic wake-up function. For emergency drill broadcasts with a higher level, it can automatically give an alarm and emit an alarm sound; it supports various modes of graphics, text, audio, and video.
[0122] It should be noted that the above hardware structure can be any one in the prior art and can realize the relevant campus safety emergency warning management after being matched with the system of this application. Secondly, the software manifestation form composed of the software part can be adaptively configured based on the technical solution disclosed in this embodiment. Specifically, based on the campus safety emergency management system based on digital twin technology in this embodiment, the software platform built can combine information, communication, Internet of Things, big data, and AI technologies. From a practical perspective, it covers five aspects: scientific safety management, professional monitoring and early warning, universal safety education, standardized supervision and assessment, and intelligent emergency management, actively responding to the urgent needs of the "campus safety supervision in the education system" and providing professional strength for the overall construction of the campus safety information platform. The corresponding system architecture can be but is not limited to an example as Figure 2 shown. Due to this, the entire software platform is based on the actual needs of the development of campus safety management applications, aggregates common support capabilities such as "Internet of Things management, docking services, and data management", customizes a secure channel and personalized application interface for accessing key business information, and realizes the efficient collaboration of safety management business applications within the region. And, in a specific application, the software platform can be configured with the following application modules:
[0123] Safety management: including modules such as event management, intelligent patrol, statistical reporting, comprehensive dashboard, notice and announcement, etc.;
[0124] Monitoring and early warning: including modules such as early warning and forecasting, situation awareness, monitoring convergence, equipment and facility management, etc.;
[0125] Safety education: including modules such as media asset management, safety education and training, real-time information, educational resources, etc.;
[0126] Emergency management: including modules such as intelligent emergency plan, emergency broadcast, emergency supplies, accident management, etc.;
[0127] Supervision and assessment: including modules such as multi-level special reports, plan production, drill management, decision-making analysis, etc.
[0128] Through the above software platform, the comprehensive management of campus security can be realized, which plays a crucial role in campus security management. The platform strengthens the collection and analysis of security information, timely judges the security situation and prominent problems exposed, and provides a scientific solution for the continuous improvement of campus security work.
[0129] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code, or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein, or a combination thereof. For software implementation, part or all of the processes of the embodiments can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. The computer-readable storage medium includes computer storage media and communication media, where the communication media includes any medium that facilitates the transfer of a computer program from one place to another. The storage medium can be any available medium that can be accessed by a computer. The computer-readable storage medium can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disc storage, magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer.
[0130] Finally, it should be noted that the above are only the preferred embodiments of the present application and are not used to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims
1. A campus safety emergency management system based on digital twin technology, characterized in that: It includes security layout module, information collection module, information verification module, target tracking module and threat judgment module; The security layout module is configured to: divide the campus environment into a number of areas with different warning levels; The information collection module is configured to: in configuration mode, collect personnel information on campus and establish a permanent personnel database; and is also configured to: in application mode, use at least one of the information collection modules to collect personnel information on campus in real time; The information verification module is configured to: in the application mode, match the personnel information collected by the information collection module with the data in the resident personnel database, and use the personnel information that has not been successfully matched as the verification target; The target tracking module is configured to: track the position of the verification target based on the personnel information collected in real time by the information collection module, match the tracked position with the area range in the security layout module, obtain the activity area of the verification target, and generate an activity trajectory mirror image of the verification target on the map data corresponding to the area range of the campus environment using the digital twin technology; The threat judgment module is configured to: in real time, based on the activity area corresponding to a verification target tracked by the target tracking module, obtain whether the verification target has a threat triggering situation of staying or lingering in an area with a high warning level; when the threat triggering situation occurs, it is judged that the verification target has a security threat, and an on-site assistance alarm is issued to prompt; otherwise, the threat judgment of the verification target is terminated until the verification target leaves the campus environment.
2. The campus safety emergency management system based on digital twin technology according to claim 1 is characterized in that: The use of digital twin technology to generate a mirror image of the activity trajectory of the verification target on the map data corresponding to the regional scope of the campus environment specifically includes: Use data twin technology to generate map data corresponding to the regional scope of the campus environment, and use different colors corresponding to the warning level to color the regional scope; Based on the activity area obtained by the target tracking module, the activity area is marked in the map data corresponding to the area range, and adjacent activity areas are connected in order along the timeline to obtain the activity trajectory mirror image.
3. The campus safety emergency management system based on digital twin technology according to claim 2 is characterized in that: The obtaining of the threat triggering condition of whether the verification target stays or remains in the area with high warning level specifically includes: When the activity area in the activity trajectory mirror image does not overlap with the area range of the high warning level, it is determined that there is no threat triggering situation for the verification target; When the activity area in the activity trajectory mirror image overlaps with the area range of the high warning level, the activity area overlapping with the area range of the high warning level in the activity trajectory mirror image is marked, and time points are assigned to the marked activity area, an activity area before the activity area that first overlaps with the area range of the high warning level, and an activity area after the activity area that last overlaps with the area range of the high warning level according to the timeline; wherein, when an activity area after the activity area that last overlaps with the area range of the high warning level does not exist, it is judged that the verification target has a threat trigger situation; otherwise, the time difference ΔT between an activity area before the activity area that first overlaps with the area range of the high warning level and an activity area after the activity area that last overlaps with the area range of the high warning level is calculated, and the predicted travel time t between an activity area before the activity area that first overlaps with the area range of the high warning level and an activity area after the activity area that last overlaps with the area range of the high warning level is obtained based on the map data of the area range, and the retention coefficient P is analyzed, Wherein, δ is a preset traffic efficiency coefficient, and δ≥1. When the retention coefficient P>1, it is judged that there is a threat triggering situation for the verification target. When the retention coefficient P≤1, it is judged that there is no threat triggering situation for the verification target.
4. The campus safety emergency management system based on digital twin technology according to claim 2 is characterized in that: The obtaining of the threat triggering condition of whether the verification target stays or remains in the area with a high warning level also includes: Using digital twin technology to add the layout points of the information collection modules in the campus environment to the activity trajectory mirror image, wherein at least one of the information collection modules is arranged on each passage in the campus environment, and at least one of the information collection modules is arranged at a security location in the campus environment; The activity area corresponding to the verification target in the activity trajectory mirror image is compared with the layout point to obtain whether the verification target has any behavior of avoiding the layout point. When there is any behavior of avoiding the layout point, it is determined that there is a threat triggering situation for the verification target; otherwise, it is determined that there is no threat triggering situation for the verification target.
5. The campus safety emergency management system based on digital twin technology according to claim 4 is characterized in that: Whether there is a behavior of avoiding the arrangement point specifically includes: Road segment analysis: Based on connecting adjacent activity areas in the order along the timeline, obtain the line segment between two adjacent activity areas corresponding to the verification target in the order along the timeline; Missing analysis: Analyze whether there is an information collection module that has not tracked the verification target in the map data corresponding to the line segment. When there is an information collection module that has not tracked the verification target in the map data corresponding to the line segment, it is defined as a missing collection; Behavior analysis: Analyze the number of missed collections corresponding to the verification target M. When M>M0, it means that the verification target has the behavior of avoiding the layout point. Otherwise, it means that the verification target does not have the behavior of avoiding the layout point, where M0 is the preset benchmark comparison threshold.
6. A campus safety emergency management method based on digital twin technology, characterized in that: The method comprises the following steps: Divide the campus environment into several areas with different warning levels; Collect information about people on campus and establish a permanent personnel database; During the safety emergency warning management process, the personnel information on campus is collected in real time, and the personnel information collected by the information collection module is matched with the data in the resident personnel database, and the personnel information that is not successfully matched is used as the verification target; Tracking the location of the verification target based on the personnel information collected in real time, and matching the tracked location with the divided area range to obtain the activity area of the verification target; Use digital twin technology to generate a mirror image of the activity trajectory of the verification target on the map data corresponding to the regional scope of the campus environment; In real time, based on the activity area corresponding to a tracked verification target, it is obtained whether the verification target has a threat trigger situation of staying or lingering in an area with a high warning level. When the threat trigger situation occurs, it is determined that the verification target has a security threat and an on-site assistance alarm is issued to prompt. Otherwise, the threat judgment on the verification target is terminated until the verification target leaves the campus environment.
7. The campus safety emergency management method based on digital twin technology according to claim 6 is characterized in that: The use of digital twin technology to generate a mirror image of the activity trajectory of the verification target on the map data corresponding to the regional scope of the campus environment specifically includes: Use data twin technology to generate map data corresponding to the regional scope of the campus environment, and use different colors corresponding to the warning level to color the regional scope; Based on the acquired activity area of the verification target, the activity area is marked in the map data corresponding to the area range, and adjacent activity areas are connected in order along the timeline to obtain the activity trajectory mirror image.
8. The campus safety emergency management method based on digital twin technology according to claim 7 is characterized in that: The obtaining of the threat triggering condition of whether the verification target stays or remains in the area with high warning level specifically includes: When the activity area in the activity trajectory mirror image does not overlap with the area range of the high warning level, it is determined that there is no threat triggering situation for the verification target; When the activity area in the activity trajectory mirror image overlaps with the area range of the high warning level, the activity area overlapping with the area range of the high warning level in the activity trajectory mirror image is marked, and time points are assigned to the marked activity area, an activity area before the activity area that first overlaps with the area range of the high warning level, and an activity area after the activity area that last overlaps with the area range of the high warning level according to the timeline; wherein, when an activity area after the activity area that last overlaps with the area range of the high warning level does not exist, it is judged that the verification target has a threat trigger situation; otherwise, the time difference ΔT between an activity area before the activity area that first overlaps with the area range of the high warning level and an activity area after the activity area that last overlaps with the area range of the high warning level is calculated, and the predicted travel time t between an activity area before the activity area that first overlaps with the area range of the high warning level and an activity area after the activity area that last overlaps with the area range of the high warning level is obtained based on the map data of the area range, and the retention coefficient P is analyzed, Wherein, δ is a preset traffic efficiency coefficient, and δ≥1. When the retention coefficient P>1, it is judged that there is a threat triggering situation for the verification target. When the retention coefficient P≤1, it is judged that there is no threat triggering situation for the verification target.
9. The campus safety emergency management method based on digital twin technology according to claim 7 is characterized in that: The obtaining of the threat triggering condition of whether the verification target stays or remains in the area with a high warning level also includes: Using digital twin technology, adding the layout points of equipment for collecting personnel information in the campus environment to the activity trajectory mirror image, wherein at least one device for collecting personnel information is arranged on each passage in the campus environment, and at least one device for collecting personnel information is arranged at a security location in the campus environment; The activity area corresponding to the verification target in the activity trajectory mirror image is compared with the layout point to obtain whether the verification target has any behavior of avoiding the layout point. When there is any behavior of avoiding the layout point, it is determined that there is a threat triggering situation for the verification target; otherwise, it is determined that there is no threat triggering situation for the verification target.
10. The campus safety emergency management method based on digital twin technology according to claim 9 is characterized in that: Whether there is a behavior of avoiding the arrangement point specifically includes: Road segment analysis: Based on connecting adjacent activity areas in the order along the timeline, obtain the line segment between two adjacent activity areas corresponding to the verification target in the order along the timeline; Missed collection analysis: Analyze whether there is an information collection module that has not tracked the verification target in the map data corresponding to the line segment. If there is a device for collecting personnel information that has not tracked the verification target in the map data corresponding to the line segment, it is defined as a missed collection. Behavior analysis: Analyze the number of missed collections corresponding to the verification target M. When M>M0, it means that the verification target has the behavior of avoiding the layout point. Otherwise, it means that the verification target does not have the behavior of avoiding the layout point, where M0 is the preset benchmark comparison threshold.