CN115562112A - AI dynamic adaptation-based intelligent building patrol method and system - Google Patents
AI dynamic adaptation-based intelligent building patrol method and system Download PDFInfo
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Abstract
The invention relates to an AI dynamic adaptation-based intelligent building patrol method and system, wherein the method comprises the following steps: generating patrol time sequence based on patrol rules of all patrol points; receiving current duty security personnel information, and generating a night patrol task list based on night patrol time sequencing, wherein the night patrol task list comprises a plurality of night patrol tasks and security personnel information corresponding to each night patrol task; generating a patrol route corresponding to each patrol task based on the patrol task list, generating an actual route based on collected security personnel positioning data, comparing the patrol route with the actual route, judging whether a difference exists, if so, generating prompt information, and if not, marking a corresponding patrol point to be successful in patrol and generating a patrol log; and circularly judging whether the abnormal condition information is received or not, if so, increasing the night patrol task according to the abnormal condition, and updating the night patrol task list based on the positioning data of the current security personnel. Compared with the prior art, the method has the advantages of dynamic updating, avoidance of invalid patrol, reduction of patrol blind areas and the like.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to an intelligent building patrol method and system based on AI dynamic adaptation.
Background
The electronic patrol management system is a necessary system in security protection, because no electronic technical and preventive equipment can replace security, and the most important security and protection work of security is patrol. The patrol refers to that patrol personnel patrol a specified fixed point at a specified time. The traditional patrol mode is to arrange patrol personnel to patrol and inspect at fixed time and fixed point, because part of patrol personnel lack responsibility and do not patrol according to the appointed time and place, the management center also lacks corresponding patrol record data, so that patrol work cannot be supervised and managed.
The wireless electronic patrol system commonly used in the wireless electronic patrol system has two modes. In the first mode, independent information buttons are respectively arranged on each patrol point in advance, the information buttons and the patrol management center carry out information transmission through a wireless communication network, and when the distance between the patrol terminal carried by a patrol person and the information buttons of the patrol points reaches the effective range of wireless communication, the patrol terminal can acquire the information of the patrol points sent by the information buttons and send the information to the patrol management client through the wireless communication network. However, the use of the wireless night patrol system requires that independent information buttons are arranged in advance at each night patrol point, so that the cost is high, and for industries such as forestry and the like requiring large-area field night patrol management, the investment of arranging the information buttons at the early stage and the maintenance cost of equipment at the later stage are high. In the second mode, independent information buttons are not required to be arranged on each patrol point, the patrol terminal carried by the patrol personnel is only required to upload the position information of the patrol personnel to the patrol management client in real time through the wireless communication network, and the patrol management client can supervise and manage the whole patrol process through analyzing the position information. However, the plurality of patrol terminals report the position information to the patrol management client in real time, a large amount of position information needs to be uploaded through a wireless communication network every second, and the stability and the rapidity of the system are affected by the quality of network signals.
Disclosure of Invention
The invention aims to overcome the defects that in the prior art, night patrol is not timely due to the fact that night patrol personnel may not patrol according to the designated time and route, and the cost is high when night patrol points are changed or newly added.
The purpose of the invention can be realized by the following technical scheme:
an AI dynamic adaptation-based intelligent building patrol method comprises the following steps:
generating patrol time sequence based on patrol rules of all patrol points;
receiving current duty security personnel information, and generating an patrol task list based on the patrol time sequence, wherein the patrol task list comprises a plurality of patrol tasks and security personnel information corresponding to each patrol task;
generating a patrol route corresponding to each patrol task based on the patrol task list, generating an actual route based on collected security personnel positioning data, comparing the patrol route with the actual route, judging whether a difference exists, if so, generating prompt information, and if not, marking a corresponding patrol point to be successful in patrol and generating a patrol log;
and circularly judging whether the abnormal condition information is received or not, if so, increasing the night patrol task according to the abnormal condition, and updating the night patrol task list based on the positioning data of the current security personnel.
Further, the patrol rule includes a patrol time range and a patrol position of the patrol point.
Further, the abnormal condition information comprises that the rainfall amount of the roof is higher than a set value, the water amount of the ground reservoir is higher than a set value, illegal invasion occurs and/or fire fighting alarm occurs.
And further, obtaining the security personnel positioning data based on an intelligent access control system in the intelligent building.
Furthermore, the intelligent access control system comprises a building elevator hall, a hall entrance and exit access control card swiping machine and/or an elevator control card swiping machine.
Further, when the security personnel positioning data is obtained, corresponding face information is obtained, whether the verification is passed or not is judged, if yes, the security personnel positioning data is stored, and if not, an illegal intrusion alarm is generated.
And further, comparing the patrol route with the actual route, judging whether patrol points which are not patrol exist, if so, marking the patrol overtime corresponding to the patrol points, and storing the patrol overtime in the patrol log.
The present invention also provides a computer readable storage medium comprising one or more programs for execution by one or more processors of an electronic device, the one or more programs including instructions for performing the AI dynamic adaptation based intelligent building patrol method as described above.
The invention also provides an AI dynamic adaptation-based intelligent building patrol system, which comprises the following components:
the patrol task management dispatching module is used for generating patrol time sequence based on patrol rules of each patrol point;
the patrol task dispatching module is used for receiving information of security personnel on duty, generating a patrol task list based on the patrol time sequence, and updating the patrol task list based on a new patrol task received in real time, wherein the patrol task list comprises a plurality of patrol tasks and security personnel information corresponding to each patrol task;
the property management workbench is used for generating a patrol route corresponding to each patrol task based on the patrol task list, generating an actual route based on collected security personnel positioning data, comparing the patrol route with the actual route, judging whether a difference exists, if so, generating prompt information, and if not, marking a corresponding patrol point to be successful in patrol and generating a patrol log;
and the intelligent building upper computer is used for circularly judging whether abnormal condition information is received, if so, increasing the patrol task according to the abnormal condition, and sending the patrol task to the patrol task dispatching module.
Furthermore, the patrol task management and distribution module, the patrol task distribution module, the property management workbench and the upper computer of the intelligent building are connected through a Wi-Fi or GPRS network.
Compared with the prior art, the invention has the following beneficial effects:
1. the patrol task list is dynamically generated according to the set patrol rule and the working staff, and the patrol rule distinguishes working days and holidays, so that the patrol task list is more flexible.
2. The invention ensures the reliability of the patrol by acquiring the positioning data of security personnel in real time and comparing the positioning data with the appointed patrol route, and the positioning data is accurately positioned by acquiring the positioning data through intelligent card swiping entrance guard of a building, a building elevator control system and video security monitoring and collection of the periphery of the building.
3. The invention dynamically allocates the patrol areas and routes according to the security personnel who go on duty on the same day, ensures clear responsibility to the people, avoids invalid patrol and reduces patrol blind areas.
4. The invention carries out time limit judgment on the sent patrol task and the actual walking route of security personnel, and evaluates the patrol quality in real time.
5. The method circularly judges whether the abnormal condition information is received, and timely increases the night patrol task when the abnormal condition exists, and judges and guides security personnel to check the preset positions of top-building doors and windows and the like according to the rainfall after the rainfall occurs; judging the conditions of rain leakage and water leakage of underground garages, sunken courtyards and other parts, and guiding security personnel to check a preset area; and illegal invasion alarm is conducted to guide security personnel to check alarm areas, so that the quality of patrol is effectively improved, and problems are solved in time.
6. The invention saves the night patrol logs aiming at each night patrol action, can conveniently carry out personnel evaluation and condition query, analyzes and judges indexes such as the completion rate of the night patrol task, the completion time of the task, the response time of the emergency situation and the like of security personnel, carries out performance assessment, improves the work assessment strength of the security personnel, realizes the scientific management of the night patrol work and also improves the emergency response speed.
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FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and the specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
Examples
As shown in fig. 1, the present embodiment provides an intelligent building patrol method based on AI dynamic adaptation, which includes the following steps:
s1, generating patrol time sequence based on patrol rules of all patrol points;
s2, receiving current work security personnel information, and generating an patrol task list based on the patrol time sequence, wherein the patrol task list comprises a plurality of patrol tasks and security personnel information corresponding to each patrol task;
s3, generating a patrol route corresponding to each patrol task based on the patrol task list, generating an actual route based on collected security personnel positioning data, comparing the patrol route with the actual route, judging whether a difference exists, if so, generating prompt information, and if not, marking a corresponding patrol point to be successful in patrol and generating a patrol log;
and in the process of executing the steps S1-S3, circularly judging whether abnormal condition information is received or not, if so, increasing the night patrol task according to the abnormal condition, turning to the step S2, and updating the night patrol task list based on the positioning data of the current security personnel.
In the method, the night patrol rules comprise night patrol time ranges and night patrol positions of night patrol points, and different night patrol rules are executed on working days and holidays so as to adjust night patrol projects according to different climates.
In the method, the abnormal condition information comprises that the rainfall of the roof is higher than a set value, the water accumulation of the ground reservoir is higher than a set value, illegal invasion occurs and/or fire alarm occurs. When an abnormal condition occurs, an emergency patrol task needs to be generated, and safety is guaranteed. In a specific implementation mode, when information that the rainfall on the roof is higher than a set value is received, a night patrol task point is added according to a preset position and is preferentially inserted into a current task, and security personnel are required to fill a preset recording form and take a picture for uploading in the night patrol task. And when receiving the information that the water quantity in the reservoir is higher than the set value, increasing the patrol task point according to the preset position and preferentially inserting the patrol task point into the current task, wherein the patrol task needs security personnel to fill in a preset record form and take a picture for uploading. And when receiving the information of illegal invasion, increasing patrol task points according to the monitoring position and preferentially inserting the patrol task points into the current task. The patrol task added by the emergency insertion is inserted into the current on-duty security personnel proxy task and is simultaneously pushed to the security supervisor.
And obtaining the security personnel positioning data based on an intelligent access control system in the intelligent building. In a specific embodiment, the entrance guard system comprises a building elevator hall, a hall entrance and exit entrance guard card reader, an elevator control card reader and the like. And when the card swiping record of the security personnel is identified, the corresponding face information is required to be acquired at the same time, whether the verification is passed or not is judged, if so, the security personnel positioning data is stored, and if not, an illegal intrusion alarm is generated.
The specific steps of performing patrol according to the patrol task comprise:
s1: the intelligent access control system comprises card swiping records of a building elevator hall, entrance and exit entrance guard card swiping machines of a hall, elevator control card swiping machines and the like.
S2: after the intelligent access control system identifies the card swiping record of the security personnel, the step S4 is carried out;
s3: after the security monitoring of the building perimeter identifies the face information, the security monitoring is compared with the database to judge that the security monitoring is a security worker, and the step S4 is carried out.
S4: and matching the current patrol task with the information collected in the steps S2 and S3 according to the information of the current patrol task and security personnel executing the task, judging whether the position and time of the current security personnel are within the patrol time range of the current patrol point, and if so, marking the successful card punching. If not, the card punching failure is marked and stored in the patrol log. And after the completion time of the current night patrol task is over, counting uncompleted night patrol points, marking time-out of a card, and storing the marked time-out point in a night patrol log.
The above method, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
Example 2
The embodiment provides an AI (Artificial intelligence) dynamic adaptation based intelligent building patrol system, which comprises a patrol task management and distribution module, a patrol task distribution module, a property management workbench and an intelligent building upper computer, wherein the patrol task management and distribution module is used for generating patrol time sequencing based on patrol rules of all patrol points; the patrol task dispatching module is used for receiving information of security personnel on duty, generating a patrol task list based on the patrol time sequence, and updating the patrol task list based on a new patrol task received in real time, wherein the patrol task list comprises a plurality of patrol tasks and security personnel information corresponding to each patrol task; the property management workbench is used for generating a patrol route corresponding to each patrol task based on the patrol task list, generating an actual route based on collected security personnel positioning data, comparing the patrol route with the actual route, judging whether a difference exists, if so, generating prompt information, otherwise, successfully patrolling at a mark corresponding patrol point, and generating a patrol log; the intelligent building upper computer is used for circularly judging whether abnormal condition information is received, if so, increasing the patrol task according to the abnormal condition and sending the patrol task to the patrol task distribution module. The patrol task management and distribution module, the patrol task distribution module, the property management workbench and the upper computer of the intelligent building are connected through a Wi-Fi or GPRS network.
In one embodiment, the property management workbench is respectively connected with an intelligent access control system of the intelligent building and a security monitoring connection on the periphery of the intelligent building and used for receiving card swiping information and face recognition information. The intelligent building upper computer is respectively connected with a roof rainfall sensor arranged at the top of the building, a ponding sensor arranged on the underground layer of the building, a building fire alarm and building perimeter security monitoring so as to acquire emergency information.
In the embodiment, the roof rainfall sensor is installed on the roof of a building, consists of an all-weather data acquisition host and a solar charging system, and directly sends out information in a wireless transmission mode through data terminals such as GPES (general purpose electronic systems). The ponding inductor is installed in mansion underground garage and formula courtyard that sinks, by the low-power consumption battery power supply, adopts pulse radar sensor, uses the chip of TM32M4 kernel as the high accuracy range finding module of master control, can accurate real-time display liquid level, distance and send data information out through wireless communication protocols such as GPRS. The intelligent access control system comprises access controls distributed on glass doors on two sides of an elevator hall of a building, and access controls of all rooms and fire-fighting access doors of the building, so as to obtain the routing information of patrol security personnel. The security monitoring of the building perimeter obtains the routing information of security personnel patrolling through monitoring cameras arranged at the positions of a building hall, a side door, a garage entrance, an exit and the like. Security personnel have handheld terminal, and this handheld terminal is installed and is patrolled APP for receive corresponding patrol task and appointed patrol route. The upper computer of the intelligent building integrates information such as a roof rainfall sensor of the building, a ponding sensor of an underground layer of the building, weather early warning such as local four-season climate characteristics, typhoon and the like, fire alarm of the building and the like, increases a patrol route and sends the patrol route to a patrol task dispatching module. The property management workbench tracks the node time of security personnel through entrance guard, ladder control and security monitoring according to the patrol task issued by the patrol task dispatching module, judges the contrast degree of an actual patrol route and a planned route through AI (artificial intelligence), and reminds the patrol personnel of whether deviating the route.
In the above-mentioned system, the security personnel patrol according to the route that APP instructed, and the in-process is through entrance guard's information of punching the card, elevator traffic information, carries out the route and checks. Response rainfall and ponding monitoring alarm information, the dynamic increase is patrolled a little, makes the patroller in time patrol predetermined hourglass rain and ponding position to reached the wisdom management and patrolled a route, effectively eliminated the safety control blind area, in time remind the patroller to pay close attention to illegal invasion, proruption management and control areas such as natural disasters promote to patrol quality and efficiency.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (10)
1. An AI dynamic adaptation-based intelligent building patrol method is characterized by comprising the following steps of:
generating patrol time sequence based on patrol rules of all patrol points;
receiving current duty security personnel information, and generating an patrol task list based on the patrol time sequence, wherein the patrol task list comprises a plurality of patrol tasks and security personnel information corresponding to each patrol task;
generating a patrol route corresponding to each patrol task based on the patrol task list, generating an actual route based on collected security personnel positioning data, comparing the patrol route with the actual route, judging whether a difference exists, if so, generating prompt information, and if not, marking a corresponding patrol point to be successful in patrol and generating a patrol log;
and circularly judging whether the abnormal condition information is received or not, if so, increasing the night patrol task according to the abnormal condition, and updating the night patrol task list based on the positioning data of the current security personnel.
2. The AI dynamic adaptation-based intelligent building patrol method according to claim 1, wherein the patrol rules include patrol time ranges and patrol positions of patrol points.
3. The AI dynamic adaptation-based intelligent building patrol method according to claim 1, wherein the abnormal situation information includes a roof rainfall above a set value, a ground reservoir water amount above a set value, an illegal intrusion and/or a fire alarm.
4. The AI-dynamic-adaptation-based smart building patrol method according to claim 1, wherein the security personnel positioning data is obtained based on a smart access control system inside a smart building.
5. The AI-dynamic-adaptation-based smart building patrol method according to claim 4, wherein said intelligent access control system comprises a building elevator hall, a hall entrance/exit access control swipe machine and/or an elevator-controlled swipe machine.
6. The AI dynamic adaptation-based intelligent building patrol method according to claim 1, wherein the security personnel location data is obtained and simultaneously corresponding face information is obtained, whether the verification is passed is determined, if yes, the security personnel location data is saved, and if not, an illegal intrusion alarm is generated.
7. The AI dynamic adaptation-based intelligent building patrol method according to claim 1, wherein the patrol route is compared with an actual route to determine whether there is a patrol point that is not patrolled, and if so, the patrol corresponding to the patrol point is marked for overtime and saved in the patrol log.
8. A computer-readable storage medium, comprising one or more programs for execution by one or more processors of an electronic device, the one or more programs including instructions for performing the AI dynamic adaptation-based intelligent building patrol method of any of claims 1-7.
9. An intelligent building patrol system based on AI dynamic adaptation, comprising:
the patrol task management dispatching module is used for generating patrol time sequence based on patrol rules of all patrol points;
the patrol task dispatching module is used for receiving information of security personnel on duty, generating a patrol task list based on the patrol time sequence, and updating the patrol task list based on a new patrol task received in real time, wherein the patrol task list comprises a plurality of patrol tasks and security personnel information corresponding to each patrol task;
the property management workbench is used for generating a patrol route corresponding to each patrol task based on the patrol task list, generating an actual route based on collected security personnel positioning data, comparing the patrol route with the actual route, judging whether a difference exists, if so, generating prompt information, and if not, marking a corresponding patrol point to be successful in patrol and generating a patrol log;
and the intelligent building upper computer is used for circularly judging whether abnormal condition information is received, if so, increasing the patrol task according to the abnormal condition and sending the patrol task to the patrol task dispatching module.
10. The AI-dynamic-adaptation-based intelligent building patrol system according to claim 1, wherein the patrol task management dispatching module, the patrol task dispatching module, the property management workbench and the upper computer of the intelligent building are connected via Wi-Fi or GPRS network.
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| CN202211216900.0A CN115562112A (en) | 2022-09-30 | 2022-09-30 | AI dynamic adaptation-based intelligent building patrol method and system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117315804A (en) * | 2023-09-28 | 2023-12-29 | 尚阳科技股份有限公司 | Patrol management system and method based on regional entrance guard management |
| CN117615304A (en) * | 2023-11-30 | 2024-02-27 | 北京中科医信科技有限公司 | Patrol management method and device applied to hospital security and electronic equipment |
| CN117671814A (en) * | 2023-12-07 | 2024-03-08 | 深圳市金地楼宇科技有限公司 | Space visual patrol method and system based on AIoT technology |
-
2022
- 2022-09-30 CN CN202211216900.0A patent/CN115562112A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117315804A (en) * | 2023-09-28 | 2023-12-29 | 尚阳科技股份有限公司 | Patrol management system and method based on regional entrance guard management |
| CN117615304A (en) * | 2023-11-30 | 2024-02-27 | 北京中科医信科技有限公司 | Patrol management method and device applied to hospital security and electronic equipment |
| CN117615304B (en) * | 2023-11-30 | 2024-05-24 | 北京中科医信科技有限公司 | Patrol management method and device applied to hospital security and electronic equipment |
| CN117671814A (en) * | 2023-12-07 | 2024-03-08 | 深圳市金地楼宇科技有限公司 | Space visual patrol method and system based on AIoT technology |
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