Park closing method based on multi-dimensional data fusion

Abstract

The invention discloses a park closing method based on multi-dimensional data fusion. The park closing method comprises the following steps of 1, collecting environment related parameter information of a park through environment sensor equipment; step 2, acquiring access control related information in the park through access control equipment; 3, collecting image information of the park through an image collection device; 4, processing the environment related parameter information to obtain environment abnormity warning information; 5, processing the access control related information to obtain access control abnormity warning information; step 6, processing the image information of the park to obtain image analysis prompt information; and step 7, after the environment abnormity warning information is generated, acquiring access control equipment information, and when the access control equipment information is abnormal, generating first access control information. According to the invention, more comprehensive and intelligent closed management of the park can be realized.

Description

Technical Field

[0001] The present invention relates to the field of management methods, and in particular to a park enclosure method based on multi-dimensional data fusion. Background Art

[0002] With the development of intelligent technology and the continuous improvement of park management needs, closed park management has gradually become an important means to ensure the safety and order of the park. Traditional park management methods mainly rely on physical barriers, manual patrols and video surveillance. These technologies can meet basic security needs to a certain extent, but with the expansion of park scale and the improvement of security requirements, these traditional methods have exposed more and more limitations. In traditional closed management, physical barriers such as fences and access control facilities restrict unauthorized personnel or vehicles from entering the park through physical isolation. However, physical barriers themselves have limited protection capabilities and are easy to be breached. It is difficult to cope with complex security threats by relying solely on physical barriers. Video surveillance, as an important part of modern park management, usually deploys a large number of cameras to cover the main areas of the park. However, traditional video surveillance systems rely on manual duty and post-event playback. Safety hazards caused by monitoring blind spots and delayed response still exist, especially at night or in complex environments. The monitoring effect of cameras is significantly limited. With the rapid development of the Internet of Things, artificial intelligence and big data technologies, the needs of park management are no longer limited to simple fences and camera monitoring. The security of the park requires smarter and more efficient technical means. This demand has promoted the development of closed park management in the direction of digitalization and intelligence. By integrating multiple technical means, the real-time monitoring, analysis and response of the park's security status can be realized, which has become a new direction for the closed management of modern parks. This new management model can effectively make up for the shortcomings of traditional technologies and provide more comprehensive and accurate security protection for the park.

[0003] In the existing closed management of the park, common technologies include video surveillance systems, access control systems, intrusion detection systems, environmental monitoring systems, etc. These systems are usually provided by different manufacturers, and lack data sharing and linkage mechanisms between them, resulting in the emergence of data islands. Each system operates independently, and it is impossible to form global data fusion and analysis. It is difficult for managers to obtain the overall security situation of the park through a single platform. This phenomenon of data islands makes it impossible for park managers to fully grasp the security situation. For example, if the video surveillance system and the access control system cannot share data in real time, other systems may not be able to respond in time when a security incident occurs in a certain area, resulting in delays in event processing. In addition, the inconsistent data formats and transmission protocols between different systems increase the complexity of system integration, further exacerbating the problem of data islands. This not only affects the timeliness and accuracy of the data, but also brings huge operational burdens to park managers and reduces management efficiency. Therefore, a closed park method based on multidimensional data fusion is proposed. Summary of the invention

[0004] The technical problem to be solved by the present invention is: how to solve the problems of low management efficiency and overall linkage in the existing closed management of a park, and provide a closed park method based on multi-dimensional data fusion.

[0005] The present invention solves the above technical problems through the following technical solutions, and the present invention comprises the following steps:

[0006] Step 1: Collect the environmental parameter information of the park through environmental sensor equipment;

[0007] Step 2: Collect access control related information in the park through access control equipment;

[0008] Step 3: Collect image information of the park through image acquisition equipment;

[0009] Step 4: Process the environment-related parameter information to obtain abnormal environment warning information;

[0010] Step 5: Process the access control related information and obtain access control abnormal warning information;

[0011] Step 6: Process the image information of the park and obtain image analysis prompt information;

[0012] Step 7: After the abnormal environment warning information is generated, the access control device information is collected. When the access control device information is abnormal, the first access control information is generated;

[0013] Step 8: When there is an abnormality in the image information, collect the access control device information. When the access control device information is abnormal, generate the second access control information.

[0014] Furthermore, the process of obtaining the environment-related parameter information is as follows:

[0015] Temperature sensors and smoke sensor groups are installed at various locations in the park. The smoke sensor group consists of a smoke sensor installed at position e1, a smoke sensor at position e2, and a smoke sensor at position e3;

[0016] The smoke sensor at position e1, the smoke sensor at position e2 and the smoke sensor at position e3 are located on the same vertical line;

[0017] The difference between the smoke sensor at position e1, the smoke sensor at position e2 and the smoke sensor at position e3 is that the height of the smoke sensor at position e1 is lower than that at position e2, and the height of the smoke sensor at position e2 is lower than that at position e3;

[0018] The temperature sensor collects the ambient temperature information of its location in real time;

[0019] The smoke sensor group collects smoke information at its location in real time, including smoke concentration at position e1, smoke concentration at position e2, and smoke concentration at position e3;

[0020] Ambient temperature information and smoke information constitute environment-related parameter information.

[0021] Furthermore, the abnormal environment warning information includes environmental temperature warning information and environmental smoke warning information;

[0022] The process of obtaining ambient temperature warning information is as follows:

[0023] Extracting ambient temperature information and smoke information from the environment-related parameter information;

[0024] When the ambient temperature information is greater than the preset value w1, it is continuously monitored and the duration for which the ambient temperature information is greater than the preset value w1 is recorded. When the duration for which the ambient temperature information is greater than the preset value w1 exceeds the preset value, an ambient temperature warning message is generated;

[0025] When the ambient temperature information is greater than the preset value w1, the ambient temperature information is collected again. When the ambient temperature information is less than the preset value W1 at this time, the ambient temperature information is collected once every preset monitoring period. After the preset time, the number of ambient temperature information greater than the preset value w1 is extracted. When the number of ambient temperature information greater than the preset value w1 is greater than the preset value, an ambient temperature warning message is generated;

[0026] When the ambient temperature information is greater than the preset value w2, it is continuously monitored, that is, the ambient temperature information is collected once every preset time. At this time, when the collected ambient temperature information is greater than the preset value w2 again, it is marked as an abnormal state. After the preset time, the number of occurrences of the abnormal state is collected. When the number of occurrences of the abnormal state is greater than the preset value, an ambient temperature warning message is generated;

[0027] The process of obtaining environmental smoke warning information is as follows:

[0028] Extract the collected smoke information, and extract the smoke concentration at position e1, the smoke concentration at position e2, and the smoke concentration at position e3 from the smoke information;

[0029] When the smoke concentration at position e1 is greater than the preset value n1, an environmental smoke warning message is directly generated;

[0030] When the smoke concentration at position e1 and the smoke concentration at position e2 are both greater than the preset value n2, an environmental smoke warning message is generated;

[0031] When the smoke concentration at position e1, the smoke concentration at position e2 and the smoke concentration at position e3 are all greater than the preset value n3, an environmental smoke warning message is generated.

[0032] Furthermore, the access control abnormality warning information includes personnel abnormality warning information and equipment abnormality warning information;

[0033] The process of obtaining personnel abnormal warning information is as follows:

[0034] Extract the collected access control related information, which includes the information of the person entering;

[0035] The information of the person entering is the identity information of the person entering. The identity information of the person entering is imported into the database for retrieval and analysis to determine whether the person is a person allowed to pass. If the person is not allowed to pass, the person is monitored in real time, that is, the image information of the person entering is collected by the image acquisition device on the access control device to obtain the image information of the abnormal person.

[0036] Analyze the image information of abnormal persons. When the person stays outside the access control device for more than the preset time, an access control abnormality warning message is generated.

[0037] At the same time, an abnormal behavior model is set up to import abnormal personnel image information for abnormal behavior identification. When an abnormal person has abnormal behavior, abnormal personnel warning information is generated. The abnormal behavior model includes following other people to enter and climbing over access control equipment;

[0038] The process of obtaining the abnormal warning information of the device is as follows: extracting the collected access control related information, the access control related information also includes the time required for the access control device to be opened and the time required for the access control device to be closed;

[0039] Process the time required to open the access control device, collect the standard time required to open the access control device, calculate the difference between the time required to open the access control device and the standard time required to open the access control device, obtain the opening time difference, and generate device abnormality warning information when the opening time difference is greater than the preset value;

[0040] The time required to close the access control device is processed, the standard time required to close the access control device is collected, the difference between the time required to close the access control device and the standard time required to close is calculated, and the closing time difference is obtained. When the closing time difference is less than the preset value, an abnormal device warning message is generated.

[0041] Furthermore, the image analysis prompt information is obtained as follows: extracting the collected image information of the park, the image information of the park including the image information of the preset location;

[0042] Extracting image information of a preset position, analyzing and processing the image information of the preset position, the image information of the preset position is image information of a passage / road that is not allowed to be occupied;

[0043] Warning signs with preset area sizes are set up on passages / roads that are not allowed to be occupied;

[0044] Importing the model of the prompt mark into the image information of the preset position to perform prompt mark recognition, and after the prompt mark is recognized, collecting the area of ​​the real-time prompt mark;

[0045] Finally, the preset area of ​​the prompt mark is extracted, and the difference between the preset area of ​​the prompt mark and the area of ​​the real-time prompt mark is calculated to obtain the area difference. When the area difference is less than the preset value, the image analysis prompt information is generated;

[0046] At the same time, the vehicle model is imported into the image information of the preset position. When the vehicle is recognized in the image information of the preset position, the parking time information of the vehicle is recorded. When the parking time information of the vehicle is greater than the preset value, the image analysis prompt information is generated.

[0047] Furthermore, the specific process of obtaining the first access control information is as follows:

[0048] After the abnormal environment warning information is generated, the generation location of the abnormal environment warning information is first collected, that is, the location of the sensor device that collects the environmental information and the number of locations where the abnormal environment warning information is issued;

[0049] When the number of locations where the abnormal environment warning information is issued is less than a preset value, the access control device information of all access control devices within the preset range of the location where the abnormal environment warning information is issued is collected;

[0050] The device information of the access control device includes the switch state of the access control device. When the switch state of the access control device is the closed state of the access control device, the first access control management information is generated to control the access control device to enter the normally open state.

[0051] When the number of locations that issue abnormal environmental warning information is greater than or equal to a preset value, the access control device information of all access control devices in the park is collected. When there are access control devices in the closed state among the access control device information of all access control devices in the park, the first access control management information is generated to control the access control devices to enter the normally open state.

[0052] Furthermore, the process of obtaining the second access control information is as follows:

[0053] Extract the collected image information of the park, which also includes real-time image information of various locations in the park;

[0054] When the access control device detects an abnormal person, it collects the image information of the abnormal person, processes the image information of the abnormal person to obtain the abnormal person parameters. The abnormal person is a non-permitted person who attempts to enter the park through the access control device as calibrated by the access control device;

[0055] Importing the abnormal personnel parameters into the image information of the park, and identifying the abnormal personnel parameters in the image information of the park;

[0056] When the personnel parameters of the abnormal person are identified in the image information of the park collected by at least two or more image acquisition devices, it means that there is an abnormality in the image information of the park, and the second access control information is generated. At this time, the position of the image acquisition device that identifies the personnel parameters of the abnormal person is collected again, and the second access control information is sent to the access control device within the preset range of the position of the image acquisition device that identifies the personnel parameters of the abnormal person, and the access control device is controlled to operate to the closed state.

[0057] Furthermore, the acquisition process of the abnormal person identification parameter is as follows: extracting the collected abnormal person image information, and extracting feature points from the abnormal person image information;

[0058] The highest point of the abnormal person's body in the abnormal person's image information is marked as point a1, and the highest points of the two shoulders in the abnormal person's body image information are marked as points a2 and a3;

[0059] Mark the two points where the feet of the abnormal person contact the ground in the human body image information as point b1 and point b2;

[0060] Connect point a2 and point a3 to obtain line segment L1, and connect point b1 and point b2 to obtain line segment L2;

[0061] Then, draw a perpendicular line segment M1 with point a1 as the endpoint and perpendicular to line segment L1, and draw a perpendicular line segment M2 with point a1 as the endpoint and perpendicular to line segment L2;

[0062] The lengths of the vertical line segment M1 and the vertical line segment M2 are measured, that is, the first personnel parameter is obtained;

[0063] Then extract the face image from the body image information of the abnormal person and process it to obtain the second person parameter;

[0064] That is, the face image is processed and the two outer corners of the eyes are marked as point c1 and point c2;

[0065] Mark the two mouth corner points as point c3 and point c4, where c1 and c4 are on one side, and c2 and c3 are on one side;

[0066] Connect point c1 and point c2, point c2 and point c3, point c3 and point c4, and point c4 and point c1 in sequence to obtain the recognition area, measure the area of ​​the recognition area, and obtain the second person parameter;

[0067] The first personnel parameter and the second personnel parameter constitute the abnormal personnel parameter.

[0068] Furthermore, the specific process of identifying the personnel parameters of the abnormal person from the image information of the park collected by the image acquisition device is as follows: firstly, the first personnel parameter is identified in the image information of the park, and all personnel whose deviation from the first personnel parameter is less than a preset value are marked;

[0069] Then, all persons whose parameter deviations from the first person are less than the preset value are extracted for comparison with the second person parameters. When there is a person whose parameter deviations from the second person are less than the preset value among all persons whose parameter deviations from the first person are less than the preset value, it means that an abnormal person has been identified.

[0070] Compared with the prior art, the present invention has the following advantages: the park enclosure method based on multi-dimensional data fusion can improve the security of the park, and the environmental sensors can monitor the environmental parameters in the park. If the environmental parameters exceed the normal range, environmental abnormality warning information will be immediately generated, which is helpful to timely discover and deal with potential safety hazards. The access control system can monitor the flow of people at the entrances and exits of the park, and issue early warnings for illegal intrusions or unauthorized entry and exit, thereby enhancing the physical security of the park. The image acquisition equipment provides real-time video monitoring, and combined with image analysis technology, it can identify abnormal behaviors or people, further improving the security prevention capabilities of the park.

[0071] At the same time, it effectively enhances the emergency response capability. When the environment or access control system is abnormal, the system can quickly generate corresponding warning information and trigger corresponding access control measures, such as locking the access control and activating the alarm, effectively shortening the emergency response time. The real-time processing and analysis of image information can provide intuitive on-site images for emergency decision-making, improve decision-making efficiency and accuracy, and the fusion and real-time analysis of multi-dimensional data enable park managers to fully understand the operating status of the park, discover and solve problems in a timely manner, and improve management efficiency. Through the generation of various types of warning information and access control information, managers can achieve accurate monitoring and management of park security, reduce management costs, and realize intelligent closed management of the park.

[0072] By continuously learning and optimizing algorithms, the system can gradually improve the accuracy and efficiency of anomaly identification, providing strong guarantees for the long-term safe operation of the park.

[0073] The fusion and processing of multi-dimensional data enables the data between different devices to complement and verify each other, improving the reliability and accuracy of the data. The closed campus method based on multi-dimensional data fusion has significant benefits in improving safety, enhancing emergency response capabilities, optimizing management efficiency, improving the level of intelligence, and promoting data sharing and collaboration. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 It is the overall flow chart of the present invention. DETAILED DESCRIPTION

[0075] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0076] like Figure 1 As shown, this embodiment provides a technical solution: a park enclosed method based on multi-dimensional data fusion, comprising the following steps:

[0077] Step 1: Collect the environmental parameter information of the park through environmental sensor equipment;

[0078] Step 2: Collect access control related information in the park through access control equipment;

[0079] Step 3: Collect image information of the park through image acquisition equipment;

[0080] Step 4: Process the environment-related parameter information to obtain abnormal environment warning information;

[0081] Step 5: Process the access control related information and obtain access control abnormal warning information;

[0082] Step 6: Process the image information of the park and obtain image analysis prompt information;

[0083] Step 7: After the abnormal environment warning information is generated, the access control device information is collected. When the access control device information is abnormal, the first access control information is generated;

[0084] Step 8: When there is an abnormality in the image information, collect the access control device information. When the access control device information is abnormal, generate the second access control information.

[0085] The process of obtaining the environment-related parameter information is as follows:

[0086] Temperature sensors and smoke sensor groups are installed at various locations in the park. The smoke sensor group consists of a smoke sensor installed at position e1, a smoke sensor at position e2, and a smoke sensor at position e3;

[0087] The smoke sensor at position e1, the smoke sensor at position e2 and the smoke sensor at position e3 are located on the same vertical line;

[0088] The difference between the smoke sensor at position e1, the smoke sensor at position e2 and the smoke sensor at position e3 is that the height of the smoke sensor at position e1 is lower than that at position e2, and the height of the smoke sensor at position e2 is lower than that at position e3;

[0089] The temperature sensor collects the ambient temperature information of its location in real time;

[0090] The smoke sensor group collects smoke information at its location in real time, including smoke concentration at position e1, smoke concentration at position e2, and smoke concentration at position e3;

[0091] Ambient temperature information and smoke information constitute environment-related parameter information;

[0092] Through the above process, relevant environmental information in the closed park can be better collected, and whether there are abnormalities in the park can be discovered in a timely and accurate manner.

[0093] The abnormal environment warning information includes ambient temperature warning information and ambient smoke warning information;

[0094] The process of obtaining ambient temperature warning information is as follows:

[0095] Extracting ambient temperature information and smoke information from the environment-related parameter information;

[0096] When the ambient temperature information is greater than the preset value w1, it is continuously monitored and the duration for which the ambient temperature information is greater than the preset value w1 is recorded. When the duration for which the ambient temperature information is greater than the preset value w1 exceeds the preset value, an ambient temperature warning message is generated;

[0097] When the ambient temperature information is greater than the preset value w1, the ambient temperature information is collected again. When the ambient temperature information is less than the preset value W1 at this time, the ambient temperature information is collected once every preset monitoring period. After the preset time, the number of ambient temperature information greater than the preset value w1 is extracted. When the number of ambient temperature information greater than the preset value w1 is greater than the preset value, an ambient temperature warning message is generated;

[0098] When the ambient temperature information is greater than the preset value w2, it is continuously monitored, that is, the ambient temperature information is collected once every preset time. At this time, when the collected ambient temperature information is greater than the preset value w2 again, it is marked as an abnormal state. After the preset time, the number of occurrences of the abnormal state is collected. When the number of occurrences of the abnormal state is greater than the preset value, an ambient temperature warning message is generated;

[0099] w1>w2;

[0100] The process of obtaining environmental smoke warning information is as follows:

[0101] Extract the collected smoke information, and extract the smoke concentration at position e1, the smoke concentration at position e2, and the smoke concentration at position e3 from the smoke information;

[0102] When the smoke concentration at position e1 is greater than the preset value n1, an environmental smoke warning message is directly generated;

[0103] When the smoke concentration at position e1 and the smoke concentration at position e2 are both greater than the preset value n2, an environmental smoke warning message is generated;

[0104] When the smoke concentration at position e1, the smoke concentration at position e2 and the smoke concentration at position e3 are all greater than the preset value n3, an environmental smoke warning message is generated;

[0105] n1>n2>n3;

[0106] The setting of the above process can improve the accuracy and comprehensiveness of environmental monitoring. By setting temperature sensors and smoke sensor groups at different locations in the park, including smoke sensors and smoke sensors at different heights, the ambient temperature and smoke information in the park can be fully collected, thereby improving the accuracy and comprehensiveness of environmental monitoring.

[0107] Setting sensors at different heights helps capture smoke conditions at different heights, which is particularly important for timely detection of safety hazards such as fire.

[0108] Timely and accurate anomaly detection: by setting preset values ​​(such as w1, w2, n1, n2, n3) and monitoring ambient temperature and smoke information in real time, once the preset values ​​are exceeded, the system can quickly generate environmental abnormality warning information, thus achieving timely and accurate detection of environmental abnormalities in the park.

[0109] Especially when the ambient temperature continues to rise or the smoke concentration exceeds the preset value at different heights, the system can immediately generate a warning message, providing valuable time for emergency response.

[0110] Reduce false alarm and missed alarm rates by continuously monitoring ambient temperature and smoke information, and generating warning information only under certain conditions (such as temperature drop, number of abnormal conditions, etc.), effectively reducing the possibility of false alarms.

[0111] At the same time, the setting of smoke sensors at different heights and the multi-level early warning mechanism (such as N1, N2, and N3) help capture a wider range of smoke conditions and reduce the risk of missed alarms.

[0112] Improve the safety management level of the park: Real-time and accurate environmental monitoring and anomaly detection capabilities help improve the safety management level of the park and provide strong protection for the safety of people and property in the park.

[0113] By responding to environmental anomalies in a timely manner, park managers can take prompt measures, such as initiating emergency plans and evacuating personnel, thereby minimizing potential losses.

[0114] Promote intelligent and automated management: The process makes full use of Internet of Things technology and data analysis methods to achieve intelligent and automated monitoring of the park environment.

[0115] By setting preset values ​​and continuous monitoring mechanisms, the system can automatically judge and generate warning information without human intervention, improving management efficiency and response speed.

[0116] The acquisition of the above-mentioned environment-related parameter information and the generation of environmental abnormality warning information have brought many benefits to closed park management, including improving the accuracy and comprehensiveness of environmental monitoring, timely and accurate anomaly detection, reducing false alarm and missed alarm rates, improving the level of park safety management, and promoting intelligent and automated management.

[0117] The access control abnormal warning information includes personnel abnormal warning information and equipment abnormal warning information;

[0118] The process of obtaining personnel abnormal warning information is as follows:

[0119] Extract the collected access control related information, which includes the information of the person entering;

[0120] The information of the person entering is the identity information of the person entering. The identity information of the person entering is imported into the database for retrieval and analysis to determine whether the person is a person allowed to pass. If the person is not allowed to pass, the person is monitored in real time, that is, the image information of the person entering is collected by the image acquisition device on the access control device to obtain the image information of the abnormal person.

[0121] Analyze the image information of abnormal persons. When the person stays outside the access control device for more than the preset time, an access control abnormality warning message is generated.

[0122] At the same time, an abnormal behavior model is set up to import abnormal personnel image information for abnormal behavior identification. When an abnormal person has abnormal behavior, abnormal personnel warning information is generated. The abnormal behavior model includes following other people to enter and climbing over access control equipment;

[0123] The process of obtaining the abnormal warning information of the device is as follows: extracting the collected access control related information, the access control related information also includes the time required for the access control device to be opened and the time required for the access control device to be closed;

[0124] Process the time required to open the access control device, collect the standard time required to open the access control device, calculate the difference between the time required to open the access control device and the standard time required to open the access control device, obtain the opening time difference, and generate device abnormality warning information when the opening time difference is greater than the preset value;

[0125] Process the time required to close the access control device, collect the standard time required to close the access control device, calculate the difference between the time required to close the access control device and the standard time required to close the access control device, obtain the closing time difference, and generate device abnormality warning information when the closing time difference is less than the preset value;

[0126] Improve park security: By importing the identity information of people entering into the database for retrieval and analysis, people who are not allowed to pass can be quickly identified, effectively preventing illegal intrusion and improving the security of the park.

[0127] Real-time monitoring of abnormal personnel image information and identification of abnormal behaviors can promptly detect and deal with potential safety hazards, such as abnormal behaviors such as following other people in or climbing over access control devices, further enhancing the park's security prevention capabilities.

[0128] Accurately identify access control anomalies. By comparing the difference between the time required to open and close the access control device and the standard time, it can accurately identify abnormal conditions of the access control device, such as equipment failure, freeze, etc., providing a basis for timely maintenance and replacement of equipment.

[0129] This data-based anomaly identification method is more accurate and efficient than traditional manual inspections, and can greatly reduce safety hazards caused by equipment failures.

[0130] Improved management efficiency. Through the automated and intelligent access control monitoring system, real-time monitoring and abnormal warning of the park access control can be achieved without manual intervention, greatly improving management efficiency.

[0131] At the same time, the system can also automatically generate access control abnormality warning information, providing managers with intuitive and clear abnormal information for rapid response and processing.

[0132] Promote data analysis and optimization: The access control-related information collected by the system, such as personnel identity information, opening and closing time of access control equipment, etc., provides a rich data source for data analysis.

[0133] Through in-depth analysis of these data, the settings and parameters of the access control system can be further optimized, the stability and accuracy of the system can be improved, and a strong guarantee can be provided for the long-term safe operation of the park.

[0134] The emergency response capability has been enhanced. Once an abnormality occurs in the access control system, the system can quickly generate equipment abnormality warning information and trigger the corresponding emergency response mechanism, such as starting backup access control equipment and evacuating personnel, effectively shortening the emergency response time.

[0135] At the same time, real-time monitoring of abnormal personnel image information and identification of abnormal behavior also provide intuitive on-site images and basis for emergency decision-making, improving the accuracy and efficiency of emergency response.

[0136] The above-mentioned process of obtaining access control abnormality warning information has significant advantages in improving campus security, accurately identifying access control abnormalities, improving management efficiency, promoting data analysis and optimization, and enhancing emergency response capabilities.

[0137] The acquisition process of the image analysis prompt information is as follows: extracting the collected image information of the park, the image information of the park includes the image information of the preset location;

[0138] Extracting image information of a preset position, analyzing and processing the image information of the preset position, the image information of the preset position is image information of a passage / road that is not allowed to be occupied;

[0139] Warning signs with preset area sizes are set up on passages / roads that are not allowed to be occupied;

[0140] Importing the model of the prompt mark into the image information of the preset position to perform prompt mark recognition, and after the prompt mark is recognized, collecting the area of ​​the real-time prompt mark;

[0141] Finally, the preset area of ​​the prompt mark is extracted, and the difference between the preset area of ​​the prompt mark and the area of ​​the real-time prompt mark is calculated to obtain the area difference. When the area difference is less than the preset value, the image analysis prompt information is generated;

[0142] At the same time, the image information of the vehicle model to the preset position is imported. When the vehicle is recognized in the image information of the preset position, the parking time information of the vehicle is recorded. When the parking time information of the vehicle is greater than the preset value, the image analysis prompt information is generated;

[0143] The above process improves the management efficiency of the park: through the automated and intelligent image analysis system, it can monitor in real time the passages / roads that are not allowed to be occupied in the park. Once an abnormal situation is found (such as illegal parking, occupying fire passages, etc.), the system can quickly generate image analysis prompt information, greatly improving the management efficiency of the park.

[0144] The passages / roads in the park are important passages for the flow of people and logistics. Once they are occupied, they will seriously affect the normal operation of the park and the safety of personnel. Through this process, these safety hazards can be discovered and dealt with in a timely manner, effectively preventing safety accidents caused by the occupation of passages / roads.

[0145] Through real-time monitoring and intelligent analysis, the system can accurately identify illegally occupied areas and vehicles, providing accurate data support for park managers, which helps optimize the park's resource utilization, such as rationally planning parking spaces and adjusting channel layouts.

[0146] This process makes full use of advanced technologies such as the Internet of Things, big data and artificial intelligence to realize intelligent analysis and processing of the park's image information, providing strong support for the park's intelligent and automated management.

[0147] For users in the park (such as employees, visitors, etc.), a safe, orderly and efficient park environment will greatly improve their user experience. Through this process, traffic congestion and safety hazards caused by illegal occupation of passages / roads can be reduced, providing users with a more comfortable and convenient park environment.

[0148] Accurate early warning and rapid response: Once the system identifies an abnormal situation (such as the difference in the area of ​​the prompt sign is less than the preset value, the parking time of the vehicle exceeds the preset value, etc.), it can immediately generate image analysis prompt information and trigger the corresponding early warning and response mechanism. This accurate early warning and rapid response capability helps park managers take timely measures to prevent the situation from further deteriorating.

[0149] The process of obtaining the above-mentioned image analysis prompt information has significant benefits in improving park management efficiency, enhancing park security, optimizing park resource utilization, promoting intelligent and automated management, improving user experience, and accurate early warning and rapid response.

[0150] The specific process of obtaining the first access control information is as follows:

[0151] After the abnormal environment warning information is generated, the generation location of the abnormal environment warning information is first collected, that is, the location of the sensor device that collects the environmental information and the number of locations where the abnormal environment warning information is issued;

[0152] When the number of locations where the abnormal environment warning information is issued is less than a preset value, the access control device information of all access control devices within the preset range of the location where the abnormal environment warning information is issued is collected;

[0153] The device information of the access control device includes the switch state of the access control device. When the switch state of the access control device is the closed state of the access control device, the first access control management information is generated to control the access control device to enter the normally open state.

[0154] When the number of locations that issue abnormal environment warning information is greater than or equal to a preset value, the access control device information of all access control devices in the park is collected. When there is a closed access control device in the access control device information of all access control devices in the park, the first access control management information is generated to control the access control device to enter a normally open state.

[0155] The above process can improve the speed of emergency response. When the abnormal environment warning information is generated, the system can quickly collect the generated location and determine whether it is necessary to fully open the access control equipment in the park based on the number of locations. This fast response mechanism helps to quickly evacuate people in an emergency and reduce potential dangers;

[0156] The system can accurately control the switch status of access control devices according to the number of locations where abnormal environmental warning information is generated. When the number of abnormal locations is small, only the access control devices in the relevant area are turned on; when the number of abnormal locations is large, all access control devices in the park are turned on. This precise control method ensures safety and avoids unnecessary waste of resources.

[0157] The security of the park is enhanced. By linking the abnormal environment warning information with the access control equipment, the system can quickly open all access control equipment in an emergency, providing convenience for personnel evacuation. At the same time, this linkage control also helps to prevent safety hazards caused by the closure of access control equipment.

[0158] This process realizes the automatic control of access control equipment, and can automatically adjust the status of access control equipment according to abnormal environmental warning information without human intervention. This greatly improves management efficiency and reduces labor costs.

[0159] This process makes full use of advanced technologies such as the Internet of Things and big data to achieve intelligent linkage control of abnormal environmental warning information and access control equipment. This intelligent management method helps to improve the overall management level of the park and provide strong support for the long-term development of the park.

[0160] The system can flexibly adjust the control strategy of the access control equipment according to the number of locations where environmental abnormality warning information is generated. This flexibility enables the system to respond to emergencies of different scales and ensure the safe evacuation of personnel.

[0161] The above-mentioned first access control information acquisition process has significant advantages in improving emergency response speed, accurately controlling access control equipment, enhancing park security, improving management efficiency, promoting intelligent management, and flexibly responding to different situations. These advantages make this process have important application value in park security management.

[0162] The process of obtaining the second access control information is as follows:

[0163] Extract the collected image information of the park, which also includes real-time image information of various locations in the park;

[0164] When the access control device detects an abnormal person, it collects the image information of the abnormal person, processes the image information of the abnormal person to obtain the abnormal person parameters. The abnormal person is a non-permitted person who attempts to enter the park through the access control device as calibrated by the access control device;

[0165] Importing the abnormal personnel parameters into the image information of the park, and identifying the abnormal personnel parameters in the image information of the park;

[0166] When the personnel parameters of the abnormal person are identified in the image information of the park collected by at least two or more image acquisition devices, it means that there is an abnormality in the image information of the park, and the second access control information is generated. At this time, the position of the image acquisition device that identifies the personnel parameters of the abnormal person is collected again, and the second access control information is sent to the access control devices within the preset range of the position of the image acquisition device that identifies the personnel parameters of the abnormal person, and the access control devices are controlled to operate to the closed state;

[0167] The above process can accurately identify non-permitted entrants who attempt to enter the park through access control devices, i.e. abnormal persons, and track their movements in the park in real time. Once the presence of abnormal persons is confirmed, the system can quickly generate the second access control information and control the closure of related access control devices, effectively preventing illegal intrusion and safety hazards.

[0168] Through the collaborative work of multiple image acquisition devices, the system can accurately identify the specific location of abnormal personnel in the park. This precise positioning capability helps park managers take quick measures, such as sending security personnel to the scene to deal with the situation.

[0169] This process realizes the intelligent control of access control equipment, and can adjust the status of access control equipment in real time according to the movement trajectory of abnormal personnel. This intelligent management method not only improves the efficiency of access control equipment, but also enhances the overall security management level of the park.

[0170] Once the system identifies an abnormal person, it can quickly generate a second access control information and control the closure of related access control equipment. This rapid response mechanism helps to quickly isolate abnormal people in an emergency and reduce potential dangers.

[0171] Through intelligent access control, the system can accurately control the switch status of access control equipment, avoiding unnecessary waste of resources. At the same time, the system can also adjust the layout of access control equipment in real time according to the movement trajectory of abnormal personnel, optimizing the resource utilization of the park.

[0172] For legitimate personnel in the park, this process can ensure that they work and live in a safe and orderly environment. Through intelligent access control, the system can reduce security risks caused by illegal intrusion and improve the overall user experience.

[0173] The acquisition process of the abnormal person identification parameter is as follows: extracting the collected abnormal person image information, and extracting feature points from the abnormal person image information;

[0174] The highest point of the abnormal person's body in the abnormal person's image information is marked as point a1, and the highest points of the two shoulders in the abnormal person's body image information are marked as points a2 and a3;

[0175] Mark the two points where the feet of the abnormal person contact the ground in the human body image information as point b1 and point b2;

[0176] Connect point a2 and point a3 to obtain line segment L1, and connect point b1 and point b2 to obtain line segment L2;

[0177] Then, draw a perpendicular line segment M1 with point a1 as the endpoint and perpendicular to line segment L1, and draw a perpendicular line segment M2 with point a1 as the endpoint and perpendicular to line segment L2;

[0178] The lengths of the vertical line segment M1 and the vertical line segment M2 are measured, that is, the first personnel parameter is obtained;

[0179] Then extract the face image from the body image information of the abnormal person and process it to obtain the second person parameter;

[0180] That is, the face image is processed and the two outer corners of the eyes are marked as point c1 and point c2;

[0181] Mark the two mouth corner points as point c3 and point c4, where c1 and c4 are on one side, and c2 and c3 are on one side;

[0182] Connect point c1 and point c2, point c2 and point c3, point c3 and point c4, and point c4 and point c1 in sequence to obtain the recognition area, measure the area of ​​the recognition area, and obtain the second person parameter;

[0183] The first personnel parameter and the second personnel parameter constitute the abnormal personnel parameter;

[0184] The above process can obtain more detailed and accurate abnormal personnel parameters, thereby ensuring the accuracy of abnormal personnel identification.

[0185] The specific process of identifying the personnel parameters of the abnormal person from the image information of the park collected by the image acquisition device is as follows: firstly, the first personnel parameter is identified in the image information of the park, and all personnel whose deviation from the first personnel parameter is less than a preset value are marked;

[0186] Then, all persons whose parameter deviations from the first person are less than the preset value are extracted for comparison with the second person parameter. When there is a person whose parameter deviations from the second person are less than the preset value among all persons whose parameter deviations from the first person are less than the preset value, it means that an abnormal person is identified;

[0187] The above process can improve the recognition accuracy. The process adopts a double comparison mechanism, that is, preliminary screening is performed through the first person's parameters, and then further confirmation is performed through the second person's parameters. This double comparison method can significantly improve the recognition accuracy and reduce false positives and false negatives.

[0188] Through the preliminary screening of the first personnel parameters, the system can quickly exclude a large amount of personnel information that is not related to abnormal personnel, thereby reducing the workload of subsequent comparisons. This optimization improves the efficiency of identification and enables the system to respond and handle abnormal situations more quickly.

[0189] This process can flexibly adjust the preset values ​​of the first personnel parameter and the second personnel parameter to adapt to different scenarios and needs. This flexibility enables the system to be widely used in various park security management scenarios, improving the versatility and practicality of the system.

[0190] Providing strong support for security management, this process provides strong technical support for park security management. Through real-time monitoring and accurate identification of abnormal personnel, the system can provide park managers with timely and accurate security information, helping them to take prompt measures to deal with potential security risks.

[0191] The above specific process of identifying the personnel parameters of abnormal personnel in the image information of the park has significant benefits in improving recognition accuracy, enhancing system robustness, optimizing recognition efficiency, strong adaptability, improving user experience, and providing strong support for security management. These benefits make this process have important application value in park security management and help improve the overall security management level of the park.

[0192] For example, when the environmental sensor in a certain area of ​​the park detects smoke, the system can not only confirm the fire through video surveillance, but also analyze whether there are people stranded in the dangerous area by combining the data of the access control system, and then issue an alarm in time and start the evacuation procedure. This comprehensive judgment ability is not achievable by the existing single data system. The existing closed park management system usually relies on a single data source, such as video surveillance or access control system, resulting in poor correlation between data and inability to effectively and comprehensively analyze multi-dimensional information. The present invention integrates multiple data sources such as video surveillance, environmental sensors, access control systems, etc. through multi-dimensional data fusion technology to form a unified data platform. When an illegal intrusion is detected, the system can automatically lock the area where the intruder is located and activate corresponding security measures, such as closing the access control, starting camera tracking, etc. At the same time, the system will automatically notify security personnel or start automatic alarms according to the threat level to avoid safety hazards caused by untimely manual judgment. Compared with the existing system, this intelligent automatic control mechanism can respond quickly to emergencies and minimize losses. The existing park management system usually relies on preset fixed rules and manual operations, which is difficult to deal with sudden security incidents. The present invention introduces an intelligent automatic control and emergency response mechanism, which can automatically execute corresponding emergency measures according to the analysis results of real-time data. The monitoring system of the present invention can dynamically adjust the angle and focal length of the camera according to the real-time situation, and automatically cover each key area. When the system detects abnormal activity in a certain area, it can automatically focus on the area and adjust the monitoring angle of view to ensure that any potential threats can be discovered and handled in time. This technology not only improves the comprehensiveness of monitoring, but also reduces the safety hazards caused by unreasonable equipment layout. Traditional park monitoring systems often have monitoring blind spots due to unreasonable equipment layout, making it difficult to achieve full coverage of the park. The present invention solves this problem through dynamic camera configuration and intelligent scheduling technology to ensure that there are no blind spots in monitoring.

[0193] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0194] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0195] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A park enclosed method based on multi-dimensional data fusion, characterized in that: The following steps are involved: Step 1: Collect the environmental parameter information of the park through environmental sensor equipment; Step 2: Collect access control related information in the park through access control equipment; Step 3: Collect image information of the park through image acquisition equipment; Step 4: Process the environment-related parameter information to obtain abnormal environment warning information; Step 5: Process the access control related information and obtain access control abnormal warning information; Step 6: Process the image information of the park and obtain image analysis prompt information; Step 7: After the abnormal environment warning information is generated, the access control device information is collected. When the access control device information is abnormal, the first access control information is generated; Step 8: When there is an abnormality in the image information of the park, the access control device information is collected. When the access control device information is abnormal, the second access control information is generated.

2. The park enclosed method based on multi-dimensional data fusion according to claim 1 is characterized in that: The process of obtaining the environment-related parameter information is as follows: Temperature sensors and smoke sensor groups are installed at various locations in the park. The smoke sensor group consists of a smoke sensor installed at position e1, a smoke sensor at position e2, and a smoke sensor at position e3; The smoke sensor at position e1, the smoke sensor at position e2 and the smoke sensor at position e3 are located on the same vertical line; The difference between the smoke sensor at position e1, the smoke sensor at position e2 and the smoke sensor at position e3 is that the height of the smoke sensor at position e1 is lower than that at position e2, and the height of the smoke sensor at position e2 is lower than that at position e3; The temperature sensor collects the ambient temperature information of its location in real time; The smoke sensor group collects smoke information at its location in real time, including smoke concentration at position e1, smoke concentration at position e2, and smoke concentration at position e3; Ambient temperature information and smoke information constitute environment-related parameter information.

3. The park enclosed method based on multi-dimensional data fusion according to claim 2 is characterized in that: The abnormal environment warning information includes ambient temperature warning information and ambient smoke warning information; The process of obtaining ambient temperature warning information is as follows: Extracting ambient temperature information and smoke information from the environment-related parameter information; When the ambient temperature information is greater than the preset value w1, it is continuously monitored and the duration for which the ambient temperature information is greater than the preset value w1 is recorded. When the duration for which the ambient temperature information is greater than the preset value w1 exceeds the preset value, an ambient temperature warning message is generated; When the ambient temperature information is greater than the preset value w1, the ambient temperature information is collected again. When the ambient temperature information is less than the preset value W1 at this time, the ambient temperature information is collected once every preset monitoring period. After the preset time, the number of ambient temperature information greater than the preset value w1 is extracted. When the number of ambient temperature information greater than the preset value w1 is greater than the preset value, an ambient temperature warning message is generated; When the ambient temperature information is greater than the preset value w2, it is continuously monitored, that is, the ambient temperature information is collected once every preset time. At this time, when the collected ambient temperature information is greater than the preset value w2 again, it is marked as an abnormal state. After the preset time, the number of occurrences of the abnormal state is collected. When the number of occurrences of the abnormal state is greater than the preset value, an ambient temperature warning message is generated; The process of obtaining environmental smoke warning information is as follows: Extract the collected smoke information, and extract the smoke concentration at position e1, the smoke concentration at position e2, and the smoke concentration at position e3 from the smoke information; When the smoke concentration at position e1 is greater than the preset value n1, an environmental smoke warning message is directly generated; When the smoke concentration at position e1 and the smoke concentration at position e2 are both greater than the preset value n2, an environmental smoke warning message is generated; When the smoke concentration at position e1, the smoke concentration at position e2 and the smoke concentration at position e3 are all greater than the preset value n3, an environmental smoke warning message is generated.

4. The park enclosed method based on multi-dimensional data fusion according to claim 1 is characterized in that: The access control abnormal warning information includes personnel abnormal warning information and equipment abnormal warning information; The process of obtaining personnel abnormal warning information is as follows: Extract the collected access control related information, which includes the information of the person entering; The information of the person entering is the identity information of the person entering. The identity information of the person entering is imported into the database for retrieval and analysis to determine whether the person is a person allowed to pass through. If the person is not allowed to pass through, the person is monitored in real time, that is, the image information of the person entering is collected by the image acquisition device on the access control device to obtain the image information of the abnormal person. Analyze the image information of abnormal persons. When the person stays outside the access control device for more than the preset time, an access control abnormality warning message is generated. At the same time, an abnormal behavior model is set up to import abnormal personnel image information for abnormal behavior recognition. When abnormal personnel have abnormal behavior, personnel abnormal warning information is generated; The process of obtaining the abnormal warning information of the device is as follows: extracting the collected access control related information, the access control related information also includes the time required for the access control device to be opened and the time required for the access control device to be closed; Process the time required to open the access control device, collect the standard time required to open the access control device, calculate the difference between the time required to open the access control device and the standard time required to open the access control device, obtain the opening time difference, and generate device abnormality warning information when the opening time difference is greater than the preset value; The time required to close the access control device is processed, the standard time required to close the access control device is collected, the difference between the time required to close the access control device and the standard time required to close is calculated, and the closing time difference is obtained. When the closing time difference is less than the preset value, an abnormal device warning message is generated.

5. The park enclosed method based on multi-dimensional data fusion according to claim 1 is characterized in that: The acquisition process of the image analysis prompt information is as follows: extracting the collected image information of the park, the image information of the park includes the image information of the preset location; Extracting image information of a preset position, analyzing and processing the image information of the preset position, the image information of the preset position is image information of a passage / road that is not allowed to be occupied; Warning signs with preset area sizes are set up on passages / roads that are not allowed to be occupied; Importing the model of the prompt mark into the image information of the preset position to perform prompt mark recognition, and after the prompt mark is recognized, collecting the area of ​​the real-time prompt mark; Finally, the preset area of ​​the prompt mark is extracted, and the difference between the preset area of ​​the prompt mark and the area of ​​the real-time prompt mark is calculated to obtain the area difference. When the area difference is less than the preset value, the image analysis prompt information is generated; At the same time, the vehicle model is imported into the image information of the preset position. When the vehicle is recognized in the image information of the preset position, the parking time information of the vehicle is recorded. When the parking time information of the vehicle is greater than the preset value, the image analysis prompt information is generated.

6. The park enclosed method based on multi-dimensional data fusion according to claim 1 is characterized in that: The specific process of obtaining the first access control information is as follows: After the abnormal environment warning information is generated, the generation location of the abnormal environment warning information is first collected, that is, the location of the sensor device that collects the environmental information and the number of locations where the abnormal environment warning information is issued; When the number of locations where the abnormal environment warning information is issued is less than a preset value, the access control device information of all access control devices within the preset range of the location where the abnormal environment warning information is issued is collected; The device information of the access control device includes the switch state of the access control device. When the switch state of the access control device is the closed state of the access control device, the first access control management information is generated to control the access control device to enter the normally open state. When the number of locations that issue abnormal environmental warning information is greater than or equal to a preset value, the access control device information of all access control devices in the park is collected. When there are access control devices in the closed state among the access control device information of all access control devices in the park, the first access control management information is generated to control the access control devices to enter the normally open state.

7. The method for enclosing a park based on multi-dimensional data fusion according to claim 1 is characterized in that: The process of obtaining the second access control information is as follows: Extract the collected image information of the park, which also includes real-time image information of various locations in the park; When the access control device detects an abnormal person, it collects the image information of the abnormal person, processes the image information of the abnormal person to obtain the abnormal person parameters. The abnormal person is a non-permitted person who attempts to enter the park through the access control device as calibrated by the access control device; Importing the abnormal personnel parameters into the image information of the park, and identifying the abnormal personnel parameters in the image information of the park; When the personnel parameters of the abnormal person are identified in the image information of the park collected by at least two or more image acquisition devices, it means that there is an abnormality in the image information of the park, and the second access control information is generated. At this time, the position of the image acquisition device that identifies the personnel parameters of the abnormal person is collected again, and the second access control information is sent to the access control device within the preset range of the position of the image acquisition device that identifies the personnel parameters of the abnormal person, and the access control device is controlled to operate to the closed state.

8. The park enclosed method based on multi-dimensional data fusion according to claim 7 is characterized in that: The acquisition process of the abnormal person identification parameter is as follows: extracting the collected abnormal person image information, and extracting feature points from the abnormal person image information; The highest point of the abnormal person's body in the abnormal person's image information is marked as point a1, and the highest points of the two shoulders in the abnormal person's body image information are marked as points a2 and a3; Mark the two points where the feet of the abnormal person contact the ground in the human body image information as point b1 and point b2; Connect point a2 and point a3 to obtain line segment L1, and connect point b1 and point b2 to obtain line segment L2; Then, draw a perpendicular line segment M1 with point a1 as the endpoint and perpendicular to line segment L1, and draw a perpendicular line segment M2 with point a1 as the endpoint and perpendicular to line segment L2; The lengths of the vertical line segment M1 and the vertical line segment M2 are measured, that is, the first personnel parameter is obtained; Then extract the face image from the body image information of the abnormal person and process it to obtain the second person parameter; That is, the face image is processed and the two outer corners of the eyes are marked as point c1 and point c2; Mark the two mouth corner points as point c3 and point c4, where c1 and c4 are on one side, and c2 and c3 are on one side; Connect point c1 and point c2, point c2 and point c3, point c3 and point c4, and point c4 and point c1 in sequence to obtain the recognition area, measure the area of ​​the recognition area, and obtain the second person parameter; The first personnel parameter and the second personnel parameter constitute the abnormal personnel parameter.

9. The park enclosed method based on multi-dimensional data fusion according to claim 8 is characterized in that: The specific process of identifying the personnel parameters of the abnormal person from the image information of the park collected by the image acquisition device is as follows: firstly, the first personnel parameter is identified in the image information of the park, and all personnel whose deviation from the first personnel parameter is less than a preset value are marked; Then, all persons whose parameter deviations from the first person are less than the preset value are extracted for comparison with the second person parameters. When there is a person whose parameter deviations from the second person are less than the preset value among all persons whose parameter deviations from the first person are less than the preset value, it means that an abnormal person has been identified.

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