Regional intelligent management and control method and management and control system

By integrating real -time image collection, analysis and alarm functions in the regional intelligent control system, the problems of low inspection efficiency and safety hazards in the existing system have been solved, and precise risk assessment and intelligent management of the regional management area are realized.

CN119339491APending Publication Date: 2025-01-21A-TEST COMPLIANCE SERVICES (BEIJING) CO LTD
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Patent Information

Application Number
CN202411456100.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-18
Publication Date
2025-01-21

AI Technical Summary

Technical Problem

In actual use, the existing regional intelligent control system has problems such as low patrol efficiency for security personnel, heavy burden on monitoring room personnel, and inability to control the regional conditions in real time, resulting in safety hazards.

Method used

Put forward a regional intelligent management and control method and system, obtain real -time image information through the control regional collection system, analyze the information, identify abnormal behaviors, track staff and items trajectory, confirm the control level, and generate alarm instructions. Alarm reminder information.

Benefits of technology

A comprehensive display of dynamic information in the control area and accurate evaluation of various aspects have been achieved, the ability to control the risk management and control and the resolution of emergencies, reduce hidden dangers, and realize the intelligent needs of regional management and control work.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an area intelligent management and control method and system. The method comprises the steps that real-time image information of a management and control area is acquired through a management and control area acquisition system located in the management and control area; the management and control platform receives the real-time image information of each management and control area, obtains an analysis conclusion according to the real-time image information, and generates an alarm instruction if the analysis conclusion is judged to be abnormal; the alarm system receives the alarm instruction and issues corresponding alarm prompt information according to the type and grade of the alarm instruction; and a manager in the abnormal management and control area performs corresponding operation according to the alarm prompt information. The management and control system applying the management and control method comprises a management and control area acquisition system, a management and control platform and an alarm system. According to the invention, the dynamic information of the management and control area can be comprehensively displayed, and the security risk of the management and control area is accurately evaluated in multiple aspects, so that the risk management and control capability and the emergency handling capability of the management and control area are improved, and potential safety hazards can be reduced.
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Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence, and in particular to a regional intelligent management and control method and a management and control system. Background Art

[0002] The regional intelligent control system is the development trend of intelligent and digital security. The existing regional intelligent control system is mainly implemented through the "video monitoring + security personnel patrol" mode. However, in actual use, this mode of regional intelligent control system has problems such as low security personnel patrol efficiency and the security personnel in the monitoring room are unable to control the real-time status of each control area due to the heavy video monitoring tasks, resulting in safety hazards in the control area. Summary of the invention

[0003] In view of the shortcomings existing in the above-mentioned problems, the present invention proposes a regional intelligent management and control method and a management and control system, which can comprehensively display the dynamic information of the control area and conduct multi-faceted and accurate assessment of the security risks of the control area, thereby improving the risk management capability and emergency handling capability of the control area and reducing safety hazards.

[0004] In order to achieve the above object, the present invention provides the following technical solutions:

[0005] In a first aspect, the present invention provides a method for intelligent regional management and control, comprising the following steps:

[0006] S1. Acquire real-time image information of the control area through a control area acquisition system located in the control area; the real-time image information mainly includes images, locations, and quantities of people and / or objects in the control area;

[0007] S2. The control platform receives real-time image information of each control area and draws an analysis conclusion based on the real-time image information. If the analysis conclusion is determined to be abnormal, an alarm instruction is generated; wherein the analysis operation of the real-time image information includes confirming the control level, identifying the information of people and objects in the control area, tracking the movement trajectory of people and objects in the control area, analyzing abnormal behavior in the control area, and counting the number of people and objects in the control area;

[0008] S3, the alarm system receives the alarm instruction and issues corresponding alarm prompt information according to the type and level of the alarm instruction;

[0009] S4. Managers in the abnormal control area perform corresponding operations based on the alarm prompt information.

[0010] Furthermore, in step S2, the operation of confirming the control level includes: confirming the control level of each control area, the level of key control personnel in the control area based on the area scene image in the real-time image information and the personnel image in the area scene, and determining whether the current deployment requirements correspond to the control level.

[0011] Furthermore, in step S2, the operation of identifying the information of people and objects in the control area includes: identifying the information of people, objects and vehicles in each control area according to the images of people, objects and vehicles in the real-time image information.

[0012] Furthermore, in step S2, the operation of tracking the movement trajectory of people and objects in the controlled area includes: tracking the movement position of the designated person, the designated object, and the designated vehicle in at least one controlled area according to the current position of the designated person, the designated object, and the designated vehicle in the real-time image information, and the movement trajectory is composed of multiple position points.

[0013] Furthermore, in step S2, the operation of analyzing abnormal behavior in the controlled area includes: determining whether the designated person, designated object, or designated vehicle has formed abnormal behavior based on the actions, sounds, expressions, or movement trajectories of the designated person, designated object, or designated vehicle in the real-time image information.

[0014] Further, in step S3, the alarm system receives an alarm instruction, parses the alarm instruction, obtains the type and level of the alarm instruction, and selects an alarm response method corresponding to the type and level of the alarm instruction. The alarm response method includes sending sound and light alarm trigger instructions to the alarm in the abnormal control area, displaying alarm information on the screen of the control platform, and sending SMS alarms, telephone alarms, email alarms and chat software alarms to the control client at the same level in the abnormal control area or to the control client at the same level and the control client at the previous level in the abnormal control area.

[0015] In a second aspect, the present invention provides a regional intelligent management and control system, including a management and control area collection system, a management and control platform and an alarm system, to implement any of the above methods, wherein:

[0016] Control area acquisition system, used to obtain real-time image information of the current control area;

[0017] The control platform is used to receive real-time image information of each control area and draw analysis conclusions based on the real-time image information. If the analysis conclusion is determined to be abnormal, an alarm instruction is generated; wherein the analysis operations performed on the real-time image information include confirming the control level, identifying the information of people and objects in the control area, tracking the movement trajectory of people and objects in the control area, analyzing abnormal behaviors in the control area, and counting the number of people and objects in the control area;

[0018] The alarm system is used to receive alarm instructions and issue corresponding alarm prompt information according to the type and level of the alarm instructions.

[0019] Furthermore, the control platform includes a control information analysis part, which includes a control area level confirmation device, an identification device, a trajectory tracking device, an abnormal behavior analysis device and a quantity statistics device; wherein:

[0020] A control area level confirmation device is used to confirm the control level of each control area, the level of key control personnel in the control area, and determine whether the current control requirements correspond to the control level based on the regional scene image and the personnel image in the regional scene in the real-time image information;

[0021] An identification device, used to identify the personnel information, object information and vehicle information in each control area according to the personnel image, object image and vehicle image in the real-time image information;

[0022] A trajectory tracking device is used to track the movement position of a designated person, a designated object, or a designated vehicle in at least one control area according to the current position of the designated person, the designated object, or the designated vehicle in the real-time image information, and a movement trajectory consisting of multiple position points;

[0023] An abnormal behavior analysis device is used to determine whether a designated person, designated object, or designated vehicle has formed abnormal behavior based on the action, sound, expression, or movement trajectory of the designated person, designated object, or designated vehicle in the real-time image information;

[0024] The quantity counting device is used to count the quantity of designated persons, designated objects and designated vehicles in each real-time image information.

[0025] Furthermore, the alarm system includes an alarm type determination device, an alarm level determination device and an alarm response device; wherein:

[0026] An alarm type determination device is used to parse the alarm instruction to obtain the alarm type corresponding to the alarm instruction;

[0027] An alarm level determination device, used to determine the alarm level according to the alarm type;

[0028] The alarm response device is used to select an alarm response mode according to the alarm level.

[0029] In a third aspect, the present invention further provides a medium on which a computer program is stored, and when the computer program is executed by a processor, any of the above-mentioned methods is implemented.

[0030] In a fourth aspect, the present invention further provides a device, comprising: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus, wherein:

[0031] Memory, used to store computer programs;

[0032] The processor is used to implement any of the above methods when executing the program stored in the memory.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] The regional intelligent management and control method and management and control system proposed in the present invention can comprehensively display the dynamic information of the management and control area, and conduct multi-faceted and accurate assessments of the security risks of the management and control area, thereby improving the risk management and emergency response capabilities of the management and control area, reducing safety hazards, and facilitating the realization of the intelligent needs of regional management and control work.

[0035] The regional intelligent control method and control system provided by the present invention can be applied to the prison control system architecture, which is beneficial for the prison functional departments to carry out daily supervision work, thereby improving the prison's ability to deal with emergencies, strengthening the prison's control over personnel, and reducing safety hazards on the basis of improving management efficiency.

[0036] The regional intelligent management and control method and management and control system provided by the present invention can be applied to the school management and control system architecture, can rationally control all aspects of campus management, ensure campus safety, provide students with a safe learning environment, effectively regulate students' behavioral habits, and reduce safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0038] Figure 1 It is a flow chart of the control method in the present invention;

[0039] Figure 2 It is a structural block diagram of the control system in the present invention;

[0040] Figure 3 This is a schematic diagram of the architecture of the prison control system in the first embodiment of the present invention;

[0041] Figure 4 This is a schematic diagram of the architecture of the school management and control system in the second embodiment of the present invention;

[0042] Figure 5 It is a schematic diagram of the structure of the electronic device in the present invention.

[0043] The main reference numerals are as follows:

[0044] 1-Control area acquisition system; 11-Image acquisition equipment; 12-Location acquisition equipment;

[0045] 2-Control and management platform; 21-Control and management area level confirmation device; 22-Identification device; 23-Trajectory tracking device; 24-Abnormal behavior analysis device; 25-Quantity counting device;

[0046] 3- alarm system; 31- alarm type determination device; 32- alarm level determination device; 33- alarm response device;

[0047] 4- Abnormal control area;

[0048] 5-electronic device; 51-processor; 52-memory. DETAILED DESCRIPTION

[0049] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0050] like Figure 1 As shown, the present invention provides a regional intelligent management and control method, comprising the following steps:

[0051] S1. Acquire real-time image information of the control area through a control area acquisition system located in the control area.

[0052] In step S1 , the real-time image information of each control area is real-time image information, and the real-time image information mainly includes the image, position, and quantity of people and / or objects in the control area.

[0053] S2. The control platform receives real-time image information of each control area and draws an analysis conclusion based on the real-time image information. If the analysis conclusion is determined to be abnormal, an alarm instruction is generated; wherein, the analysis operation of the real-time image information includes confirming the control level, identifying the information of people and objects in the control area, tracking the movement trajectory of people and objects in the control area, analyzing abnormal behavior in the control area, and counting the number of people and objects in the control area.

[0054] In step S2, after receiving the real-time image information of the control area, the control platform performs operations to confirm the control level of the real-time image information, identify the information of people and objects in the control area, track the movement trajectory of people and objects in the control area, analyze abnormal behaviors in the control area, and count the number of people and objects in the control area.

[0055] Specifically, the operation of confirming the control level includes: confirming the control level of each control area, the level of key control personnel in the control area based on the regional scene image and the personnel image in the regional scene in the real-time image information, and determining whether the current deployment requirements correspond to the control level.

[0056] The operation of identifying the information of people and objects in the control area includes: identifying the information of people, objects and vehicles in each control area according to the images of people, objects and vehicles in the real-time image information. Among them, the information of people mainly includes the name of the person, the identity of the person or the position of the person.

[0057] The operation of tracking the movement trajectory of people and objects in the controlled area includes: tracking the movement position of the designated person, designated object, and designated vehicle in at least one controlled area according to the current position of the designated person, designated object, and designated vehicle in the real-time image information, and the movement trajectory is composed of multiple position points.

[0058] The operation of analyzing abnormal behavior in the controlled area includes: judging whether the designated person, designated object, or designated vehicle has formed abnormal behavior based on the action, sound, expression, or movement trajectory of the designated person, designated object, or designated vehicle in the real-time image information.

[0059] The operation of counting the number of people and objects in the control area includes: a quantity counting device, which counts the number of designated people, designated objects, and designated vehicles in each real-time image information.

[0060] S3. The alarm system receives the alarm instruction and issues corresponding alarm prompt information according to the type and level of the alarm instruction.

[0061] Specifically, the alarm system receives the alarm instruction and analyzes the alarm instruction. First, the generation reason of the alarm instruction is determined, and the alarm type is confirmed by the generation reason; then, the alarm level is confirmed by the alarm type; finally, the corresponding alarm response method is selected by the alarm level.

[0062] Among them, the alarm response method includes sending sound and light alarm trigger instructions to the alarm in the abnormal control area, displaying alarm information on the screen of the control platform, and sending SMS alarms, telephone alarms, email alarms and chat software alarms to the control client at the same level in the abnormal control area, or to the control client at the same level and the control client at the previous level in the abnormal control area.

[0063] S4. Managers in the abnormal control area perform corresponding operations based on the alarm prompt information.

[0064] The corresponding operations performed on the personnel and / or objects include calling the names of the personnel and counting the number of the personnel and / or objects.

[0065] Corresponding to the regional intelligent management and control method provided in the above embodiment of the present invention, the embodiment of the present invention also provides a regional intelligent management and control system for implementing Figure 1 The method described in .

[0066] like Figure 2 As shown, the regional intelligent management and control system includes a management and control area collection system 1, a management and control platform 2 and an alarm system 3, wherein:

[0067] The control area acquisition system 1 is located inside the control area and is used to obtain real-time image information of the current control area. It includes an image acquisition device 11 and a position acquisition device 12.

[0068] The image acquisition device 11 is a high-definition camera, and its position in the control area can capture all real-time images in the control area without blind spots. The real-time image includes information such as the signs in the control area, the environment in the control area, the location of items in the control area, and the images of people in the control area.

[0069] The location acquisition device 12 is a locator for identifying location tags. The acquisition range of the location acquisition device will cover the entire range of the control area, so that the person wearing the location tag can be identified in the control area regardless of where he is in the control area. The location information will appear in the real-time location image in the form of a location point.

[0070] In addition, the location tag that exchanges information with the locator includes a positioning chip, and the location tag needs to be worn by the person at all times.

[0071] The control platform 2 receives the real-time image information of each control area, and draws an analysis conclusion based on the real-time image information. If the analysis conclusion is judged to be abnormal, an alarm instruction is generated. The analysis operation of the real-time image information includes confirming the control level, identifying the information of people and objects in the control area, tracking the movement trajectory of people and objects in the control area, analyzing abnormal behavior in the control area, and counting the number of people and objects in the control area.

[0072] The control platform 2 mainly includes a control information analysis part, which includes a control area level confirmation device 21, an identification device 22, a trajectory tracking device 23, an abnormal behavior analysis device 24 and a quantity statistics device 25.

[0073] The control area level confirmation device 21 confirms the control level of each control area and the level of key control personnel in the control area based on the regional scene image in the real-time image information and the personnel image in the regional scene, and determines whether the current control requirements correspond to the control level. Among them, the control area level confirmation device 21 includes a level confirmation module and a control requirement judgment module. The control level corresponding to the current control area can be determined by the level confirmation module, and the control requirements judgment module can be used to determine whether the control personnel in the current control area meet the control requirements corresponding to the control level.

[0074] Among them, after confirmation, if the confirmation result is determined that the control situation in the current control area does not meet the requirements, a corresponding alarm instruction is generated.

[0075] The recognition device 22 recognizes the personnel information, the object information and the vehicle information in the real-time image information according to the personnel image, the object image and the vehicle image in the real-time image information. Among them, the recognition device 22 includes a personnel recognition module, an object recognition module and a vehicle recognition module. The facial image of the person in the control area image can be recognized by the personnel recognition module, and the corresponding person's name, identity, position and other information can be confirmed based on the person's face. The relevant items in the control area image (for example: furniture and furnishings in the control area, etc.) can be recognized by the object recognition module, and the vehicle type, vehicle brand, license plate number and other information in the control area image can be recognized by the vehicle recognition module.

[0076] Among them, after identification, if the identification result is determined that the personnel information, object information or vehicle information in the current control area does not meet the requirements, a corresponding alarm instruction is generated.

[0077] The trajectory tracking device 23 tracks the moving position of the designated person, designated object, and designated vehicle in at least one control area according to the current position of the designated person, designated object, and designated vehicle in the real-time image information, and forms a moving trajectory composed of multiple position points.

[0078] Among them, the trajectory tracking device 23 includes a personnel trajectory tracking module, an object trajectory tracking module and a vehicle trajectory tracking module. After confirming that the relevant personnel have entered the control area through the position acquisition module, the movement position of the relevant personnel in the control area can be tracked through the personnel trajectory tracking module, thereby forming a real-time moving trajectory composed of multiple position points. After confirming that the relevant items have entered the control area through the position acquisition module, the movement position of the relevant items in the control area can be tracked through the object trajectory tracking module, thereby forming a real-time moving trajectory composed of multiple position points. After confirming that the relevant vehicle has entered the control area through the position acquisition module, the movement position of the relevant vehicle in the control area can be tracked through the vehicle trajectory tracking module, thereby forming a real-time moving trajectory composed of multiple position points.

[0079] Among them, by tracking the location trajectory of personnel, if it is found that the location trajectory of a certain person is abnormal, or appears in an area that does not match his or her authority, a corresponding alarm instruction is generated.

[0080] The abnormal behavior analysis device 24 determines whether the designated person, designated object, or designated vehicle has formed abnormal behavior based on the action, sound, expression, or movement trajectory of the designated person, designated object, or designated vehicle in the real-time image information.

[0081] The abnormal behavior analysis device 24 includes a personnel abnormal behavior analysis module, an item abnormal situation analysis module, and a vehicle abnormal situation analysis module. The personnel abnormal behavior analysis module can identify the behavior of the person's limbs in the control area image, and determine whether the person's current action is an abnormal action. The item abnormal situation analysis module can identify the placement of the item in the control area image, and determine whether the current placement of the item is an abnormal position. The vehicle abnormal situation analysis module can identify the parking position of the vehicle in the control area image, and determine whether the current parking position of the vehicle is an abnormal position.

[0082] If the abnormal behavior analysis device 24 determines that the behavior of people, objects or vehicles in the current control area is abnormal, a corresponding alarm instruction is generated.

[0083] The number counting device 25 counts the number of designated persons, designated objects, and designated vehicles in the control area image, and determines whether there is any abnormality in the number of persons, objects, and vehicles in the control area image.

[0084] If the number counting device 25 determines that the number of people, objects or vehicles in the current control area is abnormal, a corresponding alarm instruction is generated.

[0085] After receiving the alarm instruction generated by the control area level confirmation device 21, the identification device 22, the trajectory tracking device 23, the abnormal behavior analysis device 24 and the quantity statistics device 25, the alarm system 3 issues corresponding alarm prompt information according to the type and level of the alarm instruction.

[0086] The alarm system 3 mainly includes an alarm type determination device 31, an alarm level determination device 32 and an alarm response device 33. The alarm type determination device 31 can parse the alarm instruction to obtain the alarm type corresponding to the alarm instruction. The alarm level determination device 32 can determine the alarm level of the alarm type. The alarm response device 33 can select the alarm response method corresponding to the alarm level.

[0087] Among them, the alarm response method includes sending sound and light alarm trigger instructions to the alarm in the abnormal control area 4, displaying the alarm information on the screen of the control platform, and sending SMS alarms, telephone alarms, email alarms and chat software alarms to the control client at the same level of the abnormal control area 4, or to the control client at the same level of the abnormal control area 4 and the control client at the previous level.

[0088] In addition, the information interaction between the control area collection system 1, the control platform 2 and the alarm system 3 can be realized by the wireless transmission module, and the wireless transmission module can be solidified on the control area collection system 1, the control platform 2 and the alarm system 3. Among them, the wireless transmission module adopts one or more of Bluetooth transmission module, WiFi transmission module, ZigBee transmission module, 5G transmission module, 4G transmission module, 3G transmission module and 2G transmission module.

[0089] like Figure 3 As shown, the present invention provides a schematic diagram of the architecture of a prison control system, which includes an area to be controlled, a control area collection part, a control platform and an abnormal situation output part.

[0090] The areas that need to be controlled mainly include the prison A / B gates, the surrounding areas of the prison (the surrounding areas include the prison walls and appropriate areas outside the prison walls), labor areas, meeting rooms, confinement rooms, duty rooms, study areas, passages and cells.

[0091] The collection part of the control area includes collection equipment located on the A / B doors of the prison, collection equipment located in the surrounding area of ​​the prison, collection equipment located in the labor area, collection equipment located in the meeting room, collection equipment located in the solitary confinement room, collection equipment located in the duty room, collection equipment located in the study area, collection equipment located in the passage, and collection equipment located in the cell.

[0092] Among them, the acquisition equipment on the A / B doors of the prison includes high-definition cameras and locators installed on the A / B doors of the prison; the acquisition equipment located in the surrounding area of ​​the prison includes high-definition cameras and locators installed on the prison wall; the acquisition equipment located in the labor area includes high-definition cameras and locators installed outside the labor area door, and high-definition cameras and locators installed inside the labor area; the acquisition equipment located in the meeting room includes high-definition cameras and locators installed outside the meeting room door, and high-definition cameras and locators installed inside the meeting room; the acquisition equipment located in the solitary confinement room includes high-definition cameras and locators installed outside the solitary confinement room door. The acquisition equipment located in the duty room includes a high-definition camera and a locator installed outside the duty room door, as well as a high-definition camera and a locator installed inside the duty room; the acquisition equipment located in the learning area includes a high-definition camera and a locator installed outside the learning area door, as well as a high-definition camera and a locator installed inside the learning area; the acquisition equipment located in the passage includes a high-definition camera and a locator installed in the passage; the acquisition equipment located in the cell includes a high-definition camera and a locator installed outside the cell door, as well as a high-definition camera and a locator installed inside the cell.

[0093] For example, the acquisition equipment located in the meeting room includes a first high-definition camera and a first locator installed outside the door of the meeting room, and a second high-definition camera and a second locator installed inside the meeting room. The first high-definition camera collects images of people passing or staying outside the door of the meeting room, as well as surrounding images outside the door of the meeting room, and the first locator collects location information of people passing or staying outside the door of the meeting room. After a person successfully enters the meeting room after passing the access control system verification, the second high-definition camera collects images of people entering the meeting room, as well as scene images inside the meeting room, and the second locator collects location information of people after entering the meeting room.

[0094] Among them, the personnel image mainly includes the facial image and full-body image of the person (for example, clothing or logos on clothing); the scene image mainly includes the logo image of the meeting room, the internal environment image of the meeting room, and the objects placed inside the meeting room and the images of the object placement; the personnel location information will appear in the position image of the meeting room in the form of location points.

[0095] Among them, the control area image taken by the high-definition camera and the location points in the location image are sent to the control platform via the wireless transmission module.

[0096] After the control and management platform receives the image of the control area through the wireless transmission module, it can perform operations on the image of the control and management area to confirm the control level, identify the information of people and objects in the control area, analyze abnormal behaviors in the control area, and count the number of people and objects in the control area.

[0097] Among them, the control platform analyzes the control area image and extracts the scene image in the control area image, mainly including the identification in the scene, the environment in the scene, and the placement of items in the scene. Among them, the identification in the scene is the name of the meeting room on the wall of the meeting room (for example: the first meeting room, etc.), the environment in the scene is the environment inside the meeting room, and the placement of items in the scene is the placement of items such as tables and chairs inside the meeting room. Since the internal information of the first meeting room (for example: the internal image of the first meeting room) has been stored in the control platform in advance, the control platform compares the currently collected image of the first meeting room with the image of the first meeting room stored in the control platform, thereby determining that the image information in the current control area is the first meeting room. In addition, since the minimum control level of the first meeting room has been set in advance in the control platform, after determining that the image information in the current control area is the first meeting room, the minimum control level of the first meeting room is also determined at the same time (for example, the minimum control level is the number of police officers required in the first meeting room).

[0098] The face recognition device recognizes the name of the person entering the meeting room from the person's facial image, and the identity recognition device can also recognize the identity of the person from the full-body image. After confirming the person's name and identity, the name and identity of the person in the meeting room can be obtained.

[0099] The identification device can not only obtain the prisoner information and police officer information in the visiting room, but also know whether the prisoner is a key controlled person from the prisoner information, and know the identity of the police officer from the police officer information. When the control platform determines that the prisoner information or police officer information does not match the image of the first visiting room, it is determined that there is an abnormality in the first visiting room, and an alarm instruction is generated.

[0100] The number of prisoners and police officers in the first visiting room can be counted by the number counting device. When the control platform determines that the number of police officers required to be deployed in the image of the first visiting room does not meet the requirements, it is determined that there is an abnormality in the first visiting room, and an alarm instruction is generated.

[0101] The abnormal behavior analysis module identifies the physical behavior of the person in the first meeting room and determines whether the current action of the person is an abnormal action. For example, if the person in the first meeting room repeatedly performs physical behaviors such as waving arms and hitting, it is determined that the first meeting room is abnormal, and an alarm instruction is generated.

[0102] After confirming that the relevant personnel have entered the control area, the trajectory tracking device can confirm the position of the prisoner or police officer related to the position point through the position point (for example, confirm that the prisoner or police officer has entered the first meeting room). Among them, if the prisoner or police officer does not move over a large range in the first meeting room, a second position point corresponding to the prisoner or police officer will not be generated. If the prisoner or police officer moves over a large range in the first meeting room, a second position point corresponding to the prisoner or police officer will be generated. At this time, the previous first position point will be connected to the second position point through a line, thereby forming the movement trajectory of the prisoner or police officer, achieving the effect of position tracking.

[0103] After the management and control platform generates the corresponding alarm instruction, if the alarm system is fixed in the management and control platform, the alarm instruction is directly input into the alarm system; if the alarm system is not fixed in the management and control platform, but is independently located outside the management and control platform, it is sent to the alarm system through the wireless transmission module.

[0104] In this embodiment, the alarm system is fixed in the control platform, and the alarm instruction generated by the control platform can be directly input into the alarm system. The alarm system receives the alarm instruction, analyzes it, and issues corresponding alarm prompt information.

[0105] When the alarm system parses the alarm command, it parses the alarm command. First, it determines the cause of the alarm command, and confirms the alarm type based on the cause; then, it confirms the alarm level based on the alarm type; finally, it selects the corresponding alarm response method based on the alarm level.

[0106] Among them, the alarm response method includes sending sound and light alarm trigger instructions to the alarm in the abnormal control area, displaying alarm information on the screen of the control platform, and sending SMS alarms, telephone alarms, email alarms and chat software alarms to the control client at the same level in the abnormal control area, or to the control client at the same level and the control client at the previous level in the abnormal control area.

[0107] For example, the alarm system determines that the reason for generating the alarm instruction is based on the prisoner's sudden, repeated and intense abnormal physical behavior; confirms that the alarm type level generated based on abnormal physical behavior is a level 2 alarm; the alarm response method corresponding to the level 2 alarm is the alarm sounding and lighting alarm, displaying the alarm information on the screen of the control platform, and sending SMS alarms, telephone alarms, email alarms and chat software alarms to the control client of the first meeting room at the same level and the control client of the previous level.

[0108] The prison control system architecture in this embodiment is conducive to the prison functional departments to carry out daily supervision work, thereby improving the prison's ability to deal with emergencies, strengthening the prison's control over personnel, and reducing safety hazards on the basis of improving management efficiency.

[0109] like Figure 4 As shown, the present invention provides a schematic diagram of the architecture of a school management and control system, which includes an area to be controlled, a control area collection part, a control platform and an abnormal situation output part.

[0110] The areas that need to be controlled mainly include the school gate, corridors, stair doors, rooftops, classrooms, public areas, campus walls and equipment rooms.

[0111] The collection part of the control area includes collection equipment located at the school gate, collection equipment located in the corridor, collection equipment located on the stair door, collection equipment located on the rooftop, collection equipment located in the classroom, collection equipment located in the public area, collection equipment located on the campus wall and collection equipment located in the equipment room.

[0112] Among them, the acquisition equipment on the school gate includes high-definition cameras and locators installed on the school gate; the acquisition equipment located in the corridor includes high-definition cameras and locators installed in the corridor; the acquisition equipment located on the stair door includes high-definition cameras and locators installed in the corridor; the acquisition equipment located on the roof includes high-definition cameras and locators installed in multiple locations on the roof; the acquisition equipment located in the classroom includes high-definition cameras and locators installed outside the classroom door, and high-definition cameras and locators installed inside the classroom; the acquisition equipment located in the public area includes high-definition cameras and locators installed outside the public area door, and high-definition cameras and locators installed inside the public area; the acquisition equipment located on the campus wall includes high-definition cameras and locators installed on the school wall; the acquisition equipment located in the equipment room includes high-definition cameras and locators installed outside the equipment room door, and high-definition cameras and locators installed inside the equipment room.

[0113] For example, the acquisition equipment located in the classroom includes a first high-definition camera and a first locator installed outside the classroom door, and a second high-definition camera and a second locator installed inside the classroom. The first high-definition camera collects images of people passing or staying outside the classroom door, as well as surrounding images outside the classroom door, and the first locator collects location information of people passing or staying outside the classroom door. When a person (teacher or student) enters the classroom, the second high-definition camera collects images of people entering the classroom, as well as scene images inside the classroom, and the second locator collects location information of people after entering the classroom.

[0114] Among them, the person image mainly includes the person's facial image and full-body image (for example, clothing or logos on clothing); the scene image mainly includes the classroom logo image, the classroom's internal environment image, and the objects placed inside the classroom and the images of the object placement; the person's location information will appear in the classroom's location image in the form of location points.

[0115] Among them, the control area image taken by the high-definition camera and the location points in the location image are sent to the control platform via the wireless transmission module.

[0116] After the control and management platform receives the image of the control area through the wireless transmission module, it can perform operations on the image of the control and management area to confirm the control level, identify the information of people and objects in the control area, analyze abnormal behaviors in the control area, and count the number of people and objects in the control area.

[0117] Among them, the control platform analyzes the control area image and extracts the scene image in the control area image, mainly including the identification in the scene, the environment in the scene, and the placement of items in the scene. Among them, the identification in the scene is the name of the classroom on the wall of the classroom (for example: Class 1, Grade 2, etc.), the environment in the scene is the environment inside the classroom, and the placement of items in the scene is the placement of items such as tables and chairs inside the classroom. Since the internal information of the Class 1, Grade 2 classroom (for example: the internal image of the Class 1, Grade 2 classroom) has been stored in the control platform in advance, the control platform compares the currently collected Class 1, Grade 2 classroom image with the Class 1, Grade 2 classroom image stored in the control platform, thereby determining that the image information in the current control area is the Class 1, Grade 2 classroom. In addition, since the minimum control level of the Class 1, Grade 2 classroom during class time has been set in advance in the control platform, after determining that the image information in the current control area is the Class 1, Grade 2 classroom during class time, the minimum control level of the Class 1, Grade 2 classroom is also determined at the same time (for example, the minimum control level is the number of teachers required for the Class 1, Grade 2 classroom during class time).

[0118] The face recognition device identifies the name of the person entering the classroom (teacher's name and student's name) from the person's facial image, and the identity recognition device can also identify the identity of the person (teacher's identity and student's identity) from the full-body image, and after confirming the person's name and identity, it can obtain the name and identity of the person in the classroom.

[0119] The recognition device can not only obtain the student information and teacher information in the classroom, but also know whether the student is a key controlled person from the student information. When the control platform determines that the student information or teacher information in the classroom image of Class 1, Grade 2 does not match, it is determined that there is an abnormality in the classroom of Class 1, Grade 2, and an alarm instruction is generated.

[0120] The number of students and teachers in the 2nd grade 1 classroom can be counted by the number counting device. When the control platform determines that the number of teachers in the 2nd grade 1 classroom image is inconsistent, it is determined that the 2nd grade 1 classroom is abnormal, and an alarm instruction is generated.

[0121] The abnormal behavior analysis module identifies the physical behavior of students or teachers in the 2nd grade 1 classroom and determines whether the current behavior of the students or teachers is abnormal. For example, if the personnel (students or teachers) in the 2nd grade 1 classroom repeatedly show physical behaviors such as waving arms and hitting, it is determined that the 2nd grade 1 classroom is abnormal, and an alarm instruction is generated.

[0122] After confirming that the relevant personnel have entered the control area, the trajectory tracking device can confirm the position of the student or teacher related to the position point through the position point (for example, confirm that the student or teacher has entered the classroom of Class 1, Grade 2). Among them, if the student or teacher does not move over a large range in the classroom of Class 1, Grade 2, a second position point corresponding to the student or teacher will not be generated. If the student or teacher moves over a large range in the classroom of Class 1, Grade 2, a second position point corresponding to the student or teacher will be generated. At this time, the previous first position point will be connected to the second position point through a line, thereby forming the movement trajectory of the student or teacher and achieving the effect of position tracking.

[0123] After the management and control platform generates the corresponding alarm instruction, if the alarm system is fixed in the management and control platform, the alarm instruction is directly input into the alarm system; if the alarm system is not fixed in the management and control platform, but is independently located outside the management and control platform, it is sent to the alarm system through the wireless transmission module.

[0124] In this embodiment, the alarm system is fixed in the control platform, and the alarm instruction generated by the control platform can be directly input into the alarm system. The alarm system receives the alarm instruction, analyzes it, and issues corresponding alarm prompt information.

[0125] When the alarm system parses the alarm command, it parses the alarm command. First, it determines the cause of the alarm command, and confirms the alarm type based on the cause; then, it confirms the alarm level based on the alarm type; finally, it selects the corresponding alarm response method based on the alarm level.

[0126] Among them, the alarm response method includes sending sound and light alarm trigger instructions to the alarm in the abnormal control area, displaying alarm information on the screen of the control platform, and sending SMS alarms, telephone alarms, email alarms and chat software alarms to the control client at the same level in the abnormal control area, or to the control client at the same level and the control client at the previous level in the abnormal control area.

[0127] For example, the alarm system determines that the reason for generating the alarm instruction is based on the student's sudden, repeated and intense abnormal physical behavior; confirms that the alarm type level generated based on abnormal physical behavior is a level 2 alarm; the alarm response method corresponding to the level 2 alarm is sound and light alarm, display of alarm information on the screen of the management and control platform, SMS alarm, telephone alarm, email alarm and chat software alarm sent to the current management and control client and the previous management and control client of Class 1, Grade 2 classroom.

[0128] Through the school management and control system architecture in this embodiment, it is possible to rationally control all aspects of campus management, ensure campus safety, provide students with a safe learning environment, effectively regulate students' behavioral habits, and reduce safety hazards.

[0129] Corresponding to the regional intelligent management and control method provided by the above-mentioned embodiment of the present invention, the embodiment of the present invention also provides a readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a random access memory (RAM), a read-only memory (ROM), an optical disk, a server, an App application store, etc., on which a computer program is stored, and when the computer program is executed by one or more processors, it can be implemented Figure 1 The regional intelligent control method recorded in .

[0130] The specific implementation process of the above method steps can be found in Figure 1 The regional intelligent management and control method recorded in will not be repeated in this embodiment.

[0131] Corresponding to the regional intelligent management and control method provided by the above-mentioned embodiment of the present invention, the embodiment of the present invention also provides a device.

[0132] like Figure 5 As shown, the electronic device 5 includes: a processor 51, a memory 52 and a bus. The memory 52 stores machine-readable instructions executable by the processor 51. When the electronic device is running, the processor 51 and the memory 52 communicate through the bus. When the machine-readable instructions are executed by the processor 51, Figure 1 The regional intelligent control method recorded in .

[0133] Specifically, the above-mentioned memory 52 and processor 51 are general-purpose memories and processors, which are not specifically limited here. When the processor 51 runs the computer program stored in the memory 52, it can execute the regional intelligent management and control method in the above-mentioned storage medium.

[0134] The communication bus mentioned in the above device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0135] The communication interface is used for communication between the above electronic device and other devices.

[0136] The memory may include a random access memory (RAM) or a non-volatile memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0137] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0138] In another embodiment provided by the present invention, a computer program product containing instructions is also provided. When the computer program product is run on a computer, the computer executes the steps of any area intelligent management and control method provided by the above-mentioned embodiments of the present invention.

[0139] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital terminal equipment line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk Solid State Disk (SSD)), etc.

[0140] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0141] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, electronic device embodiment, computer-readable storage medium embodiment, and computer program product embodiment, since they are basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0142] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A regional intelligent management and control method, characterized in that: The following steps are involved: S1. Acquire real-time image information of the control area through a control area acquisition system located in the control area; the real-time image information mainly includes images, locations, and quantities of people and / or objects in the control area; S2. The control platform receives real-time image information of each control area and draws an analysis conclusion based on the real-time image information. If the analysis conclusion is determined to be abnormal, an alarm instruction is generated; wherein the analysis operation of the real-time image information includes confirming the control level, identifying the information of people and objects in the control area, tracking the movement trajectory of people and objects in the control area, analyzing abnormal behavior in the control area, and counting the number of people and objects in the control area; S3, the alarm system receives the alarm instruction and issues corresponding alarm prompt information according to the type and level of the alarm instruction; S4. Managers in the abnormal control area perform corresponding operations based on the alarm prompt information.

2. The regional intelligent management and control method according to claim 1, characterized in that: In step S2, the operation of confirming the control level includes: confirming the control level of each control area, the level of key control personnel in the control area according to the regional scene image in the real-time image information and the personnel image in the regional scene, and determining whether the current deployment requirements correspond to the control level.

3. The regional intelligent management and control method according to claim 1, characterized in that: In step S2, the operation of identifying the information of people and objects in the control area includes: identifying the information of people, objects and vehicles in each control area according to the images of people, objects and vehicles in the real-time image information.

4. The regional intelligent management and control method according to claim 1, characterized in that: In step S2, the operation of tracking the movement trajectory of people and objects in the controlled area includes: tracking the movement position of the designated person, designated object, and designated vehicle in at least one controlled area according to the current position of the designated person, designated object, and designated vehicle in the real-time image information, and the movement trajectory is composed of multiple position points.

5. The regional intelligent management and control method according to claim 1, characterized in that: In step S2, the operation of analyzing abnormal behavior in the control area includes: determining whether the designated person, designated object, or designated vehicle has formed abnormal behavior based on the action, sound, expression, or movement trajectory of the designated person, designated object, or designated vehicle in the real-time image information.

6. The regional intelligent management and control method according to claim 1, characterized in that: In step S3, the alarm system receives the alarm instruction, parses the alarm instruction, obtains the type and level of the alarm instruction, and selects the corresponding alarm response method according to the type and level of the alarm instruction. The alarm response method includes sending sound and light alarm trigger instructions to the alarm in the abnormal control area, displaying the alarm information on the screen of the control platform, and sending SMS alarms, telephone alarms, email alarms and chat software alarms to the control client of the same level in the abnormal control area or to the control client of the same level and the control client of the previous level in the abnormal control area.

7. A regional intelligent management and control system, characterized in that: It includes a control area collection system, a control platform and an alarm system to implement the method described in any one of claims 1 to 6, wherein: Control area acquisition system, used to obtain real-time image information of the current control area; The control platform is used to receive real-time image information of each control area and draw analysis conclusions based on the real-time image information. If the analysis conclusion is determined to be abnormal, an alarm instruction is generated; wherein the analysis operations performed on the real-time image information include confirming the control level, identifying the information of people and objects in the control area, tracking the movement trajectory of people and objects in the control area, analyzing abnormal behaviors in the control area, and counting the number of people and objects in the control area; The alarm system is used to receive alarm instructions and issue corresponding alarm prompt information according to the type and level of the alarm instructions.

8. The regional intelligent management and control system according to claim 7, characterized in that: The control platform includes a control information analysis part, which includes a control area level confirmation device, an identification device, a trajectory tracking device, an abnormal behavior analysis device and a quantity statistics device; wherein: A control area level confirmation device is used to confirm the control level of each control area, the level of key control personnel in the control area, and determine whether the current control requirements correspond to the control level based on the regional scene image and the personnel image in the regional scene in the real-time image information; An identification device, used to identify the personnel information, object information and vehicle information in each control area according to the personnel image, object image and vehicle image in the real-time image information; A trajectory tracking device is used to track the movement position of a designated person, a designated object, or a designated vehicle in at least one control area according to the current position of the designated person, the designated object, or the designated vehicle in the real-time image information, and a movement trajectory consisting of multiple position points; An abnormal behavior analysis device is used to determine whether a designated person, designated object, or designated vehicle has formed abnormal behavior based on the action, sound, expression, or movement trajectory of the designated person, designated object, or designated vehicle in the real-time image information; The quantity counting device is used to count the quantity of designated persons, designated objects and designated vehicles in each real-time image information.

9. The regional intelligent management and control system according to claim 7, characterized in that: The alarm system comprises an alarm type determination device, an alarm level determination device and an alarm response device; wherein: An alarm type determination device is used to parse the alarm instruction to obtain the alarm type corresponding to the alarm instruction; An alarm level determination device, used to determine the alarm level according to the alarm type; The alarm response device is used to select an alarm response mode according to the alarm level.

10. A device comprising: The processor, the communication interface, the memory and the communication bus communicate with each other through the communication bus, wherein: Memory, used to store computer programs; A processor, for implementing the method according to any one of claims 1 to 6 when executing a program stored in a memory.