Intelligent patrol monitoring control method, device and equipment and computer storage medium
Through intelligent inspection and monitoring control methods, sensor data is used to build a display model and automatically determine abnormal locations. Combined with drone patrol and maintenance, the problem of insufficient automation and adaptability in the existing technology is solved, and efficient and automated inspection and supervision is achieved.
Patent Information
- Application Number
- CN202411876500.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-19
- Publication Date
- 2025-04-11
AI Technical Summary
The prior art is insufficient in automation and adaptability in inspections and monitoring, especially in targets or obstacle-intensive areas where tags cannot be carried, and requires human participation.
It provides an intelligent patrol and monitoring control method, by obtaining the detection data transmitted by the sensor module, building a display model, and displaying it on the display module for staff to monitor it. If the detection data does not meet the preset requirements, the abnormal location will be automatically judged and patrol and inspected through the drone to reduce human participation.
It improves the degree of automation and adaptability of inspection and supervision, reduces human participation, can be used in various usage scenarios, and quickly responds to abnormal locations through drones, improving patrol efficiency.
Smart Images
Figure CN119809607A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of data processing, and in particular to an intelligent patrol monitoring control method, device, equipment and computer storage medium. Background Art
[0002] With the rapid development of information technology, traditional inspection methods can no longer meet the needs of modern society for efficient and precise management.
[0003] In the related technology, there is an automatic identification system based on RFID technology. The RFID system can achieve a certain degree of automated management, but it has poor adaptability to targets that cannot carry tags or areas with dense obstacles, and it also requires human participation. Summary of the invention
[0004] In order to further improve the automation and adaptability of patrol monitoring, the present application provides an intelligent patrol monitoring control method, device, equipment and computer storage medium.
[0005] In the first aspect, the present application provides an intelligent patrol monitoring control method using the following technical solutions: An intelligent patrol monitoring control method, comprising: Acquire detection data transmitted by the sensor module; Building a display model based on the detection data; Control the display module to display the display model; Determine whether the detection data meets the preset requirements; If the detection data does not meet the preset requirement, obtaining the abnormal position based on the abnormal detection data; The abnormal location is marked in the presentation model and the abnormal location is enlarged.
[0006] By adopting the above technical solution, the electronic device obtains the detection data transmitted by the sensor module, and then the electronic device constructs a display model based on the detection data for display on the display module, so that the staff can better understand the various detection data and facilitate the staff to better monitor, and the electronic device determines whether the detection data meets the preset requirements based on the detection data. If it does not meet the preset requirements, the electronic device obtains the abnormal position based on the abnormal detection data, marks the abnormal position on the display model and enlarges the position, which serves as a prompt for the staff so that the staff can handle it in time. In addition, it can automatically determine whether an abnormality occurs based on the detection data without human participation, which greatly improves the degree of automation. At the same time, the sensor performs detection and the display module displays the display model, which also improves adaptability and can be applied to various usage scenarios.
[0007] Optionally, when the detection data does not meet the preset requirement, the method further includes: Get drone location data; calculating a distance value based on the position data and the abnormal position; Obtaining a minimum distance value and using the obtained minimum distance value as a first distance value; Acquire a first drone corresponding to the first distance value; A temporary inspection control signal is sent to the first UAV, so that the first UAV immediately moves to the abnormal location for inspection.
[0008] By adopting the above technical solution, when the detection data does not meet the preset requirements, the electronic device obtains the drone position data, calculates the distance value based on the position data and the abnormal position, and then selects the first drone that is closest to the abnormal position, and sends a temporary patrol control signal to the first drone, so that the first drone moves to the abnormal position, and then patrols the abnormal position to obtain relevant data.
[0009] Optionally, before sending the temporary inspection control signal to the first UAV, the method further includes: Obtaining a first number of the first drones; determining whether the first number is greater than one; If the first number is not greater than one, continuing to execute the step of sending a temporary patrol control signal to the first UAV; If the first number is greater than one, determining whether there is a maintenance record within a preset range of the first drone; If there is no maintenance record within the preset range of the first drone, obtaining a first drone that does not have a maintenance record within the preset range, and using the obtained first drone as the second drone; Stop executing the step of sending a temporary patrol control signal to the first UAV, and switch to sending a temporary patrol control signal to the second UAV.
[0010] By adopting the above technical solution, before controlling the movement of the first drone, the electronic device obtains the first number of the first drones, and then determines whether the first number is greater than one, that is, determines whether there are multiple first drones. If there is only one first drone, the electronic device continues to execute the step of sending a temporary patrol control signal to the first drone. If there are multiple first drones, the electronic device determines whether there is a maintenance record within a preset range of each first drone, obtains a second drone for which no maintenance record exists within the preset range, and controls the second drone to move to the abnormal position for patrol, thereby avoiding waste of resources caused by multiple drones going to the abnormal position, and can also take into account the patrol of other locations where maintenance has been performed.
[0011] Optionally, the method further includes: Obtaining inspection data of the abnormal location fed back by the first drone; identifying anomaly types based on the inspection data; Sending a maintenance signal based on the abnormality type; Obtaining a preset maintenance time based on the abnormality type; After sending the maintenance signal, including: Determine in real time whether maintenance feedback data is received within the preset maintenance time; If the maintenance feedback data is not received within the preset time, obtaining the corresponding maintenance personnel; The maintenance personnel are marked and penalty information is sent based on the maintenance type.
[0012] By adopting the above technical solution, the electronic device obtains the inspection data of the abnormal position fed back by the first drone, and then the electronic device identifies the abnormal type based on the inspection data, and sends a maintenance signal based on the abnormal type, so that the corresponding maintenance personnel can perform maintenance. Afterwards, the electronic device determines whether the maintenance feedback data is received within the preset maintenance time. If the maintenance feedback data is not received within the preset maintenance time, it indicates that the maintenance personnel have not completed the maintenance task within the specified time, so the electronic device obtains the corresponding maintenance personnel, and then marks them and sends penalty information based on the maintenance type.
[0013] Optionally, when the maintenance feedback data is received within the preset time, the method further includes: Obtaining the inspection records of the maintenance personnel; Determine whether to supervise the current maintenance of the maintenance personnel based on the supervision record and the supervision strategy; If the maintenance performed by the maintenance personnel is supervised, the inspection result after the supervision is obtained; Determine whether there are any rectification issues based on the inspection results; If there are rectification issues, a rectification prompt signal is output based on the rectification issues.
[0014] By adopting the above technical solution, the electronic equipment obtains the inspection record of the maintenance personnel, and then determines whether to supervise the maintenance personnel's current maintenance based on the inspection record and the inspection strategy. If inspection is required, the electronic equipment obtains the inspection result after the inspection, and then determines whether there are rectification issues based on the inspection result. If so, a rectification prompt signal is output to improve the ability of the maintenance personnel so that they can better complete the maintenance tasks in the future.
[0015] Optionally, the method further includes: Acquire the number of historical anomalies based on the anomaly location; Determine whether the number of historical abnormalities is greater than a first threshold; If the number of historical abnormalities is greater than the first threshold, obtaining the inspection route of the drone; The inspection route is modified based on the abnormal location to increase the inspection frequency of the abnormal location.
[0016] By adopting the above technical solution, the electronic device obtains the historical number of abnormalities at the abnormal location, and then determines whether the historical number of abnormalities is greater than the first threshold. If the historical number of abnormalities is greater than the first threshold, the patrol route of the drone is corrected based on the abnormal location, thereby increasing the patrol frequency of the abnormal location.
[0017] Optionally, after the inspection route is corrected based on the abnormal position, the method further includes: Calculate the abnormality frequency based on the historical abnormality number; Determining whether the abnormal frequency is greater than a second threshold; If the abnormal frequency is greater than the second threshold, stopping the step of correcting the inspection route based on the abnormal position; Outputs a permanent prompt signal.
[0018] By adopting the above technical solution, the abnormal frequency is calculated. If the abnormal frequency is greater than the second threshold, it indicates that the abnormality occurs here more frequently. In the case of frequent abnormalities, in order to be able to handle them better and in a timely manner, and also to reduce unnecessary waste of resources, the inspection route is stopped from being corrected, and a permanent prompt signal is output instead.
[0019] In the second aspect, the present application provides an intelligent patrol monitoring control device adopting the following technical solution: An intelligent patrol monitoring control device, comprising: A first acquisition module, used to acquire detection data transmitted by the sensor module; A construction module, used to construct a display model based on the detection data; A first control module, used to control the display module to display the display model; A judgment module, used to judge whether the detection data meets the preset requirements; if the detection data does not meet the preset requirements, then transfer to the second acquisition module; A second acquisition module, used for acquiring an abnormal position based on the abnormal detection data; The marking module is used to mark the abnormal position in the display model and enlarge the abnormal position.
[0020] In a third aspect, the present application provides an electronic device that adopts the following technical solution: An electronic device comprises a processor, wherein the processor is coupled to a memory; the processor is used to execute a computer program stored in the memory, so that the electronic device executes the method described in the first aspect.
[0021] In a fourth aspect, the present application provides a computer-readable storage medium that adopts the following technical solution: A computer-readable storage medium includes a computer program or an instruction. When the computer program or the instruction is executed on a computer, the computer is caused to execute the method according to the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 It is a flow chart of the intelligent patrol monitoring control method of an embodiment of the present application.
[0023] Figure 2 It is a block diagram of the intelligent patrol monitoring control device of an embodiment of the present application.
[0024] Figure 3 It is a block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION
[0025] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. Technical users in this field can make non-creative modifications to the present embodiment as needed after reading this specification. However, as long as it is within the scope of the claims of the present application, it is protected by the patent law.
[0026] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technical users in the field without creative work are within the scope of protection of this application.
[0027] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.
[0028] The embodiment of the present application discloses an intelligent patrol monitoring control method. The intelligent patrol monitoring control method can be executed by an electronic device. The electronic device can be a server or a terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a desktop computer, etc., but is not limited thereto.
[0029] The present application embodiment discloses an intelligent patrol monitoring control method. Figure 1 , an intelligent patrol monitoring control method includes the following main processes (S100~S600): Step S100, acquiring detection data transmitted by the sensor module; Step S200, constructing a display model based on the detection data; Step S300, controlling the display module to display the display model; Step S400, determining whether the detection data meets the preset requirements; if the detection data does not meet the preset requirements, proceeding to step S500; Step S500, obtaining an abnormal position based on abnormal detection data; Step S600, marking the abnormal position in the display model and enlarging the abnormal position.
[0030] The electronic device obtains the detection data transmitted by the sensor module. The sensor module is set at the equipment on site. The sensor module can detect various data of the on-site equipment. The electronic device builds a display model based on the detection data, thereby controlling the module to display the display model. The display model can better display the on-site situation to the staff, so that the staff can learn the data more intuitively. The electronic device also determines whether the detection data meets the preset requirements, that is, whether the detection data of each item exceeds the preset range. If the detection data does not meet the preset requirements, the electronic device obtains the abnormal position based on the abnormal detection data, and then marks the abnormal position on the display model, and enlarges the abnormal position. No human participation is required. The electronic device automatically makes judgments based on the detection data, uses the sensor detection module to detect and the display module to display the display model. It can also be applied to various usage scenarios and has few restrictions.
[0031] As an optional implementation of an embodiment of the present application, when the detection data does not meet the preset requirements, it also includes: obtaining drone position data; calculating a distance value based on the position data and the abnormal position; obtaining a minimum distance value and using the obtained minimum distance value as a first distance value; obtaining a first drone corresponding to the first distance value; and sending a temporary patrol control signal to the first drone so that the first drone immediately moves to the abnormal position for patrol.
[0032] When the detection data does not meet the preset requirements, the electronic device obtains the drone position data, that is, the electronic device obtains the positions of all drones, and then calculates the distance value based on the position data and the abnormal position, obtains the minimum distance value and uses it as the first distance value, and then obtains the first drone corresponding to the first distance value, that is, the first drone closest to the abnormal position is obtained by calculating the distance value, and then a patrol control signal is sent to the first drone closest to the abnormal position, so that the first drone changes its route and moves to the abnormal position, and then patrols the abnormal position.
[0033] As an optional implementation manner of an embodiment of the present application, before sending a temporary patrol control signal to the first drone, it also includes: obtaining a first number of first drones; determining whether the first number is greater than one; if the first number is not greater than one, continuing to execute the step of sending a temporary patrol control signal to the first drone; if the first number is greater than one, determining whether there is a maintenance record within a preset range of the first drone; if there is no maintenance record within the preset range of the first drone, obtaining a first drone that has no maintenance record within the preset range, and using the obtained first drone as the second drone; stopping the step of sending a temporary patrol control signal to the first drone, and switching to sending a temporary patrol control signal to the second drone.
[0034] Before the electronic device sends a temporary inspection control signal to the first UAV, the electronic device obtains the first number of the first UAVs, that is, there may be a situation where the distance is equal, so the electronic device determines whether the first number is greater than one. If the first number is not greater than one, it indicates that there is only one UAV at the closest distance at this time, so the step of sending the temporary inspection control signal continues at this time; if the first number is greater than one, it indicates that there are multiple UAVs with the same distance and the closest distance. At this time, if multiple UAVs come to inspect, it will cause a waste of resources, so the electronic device determines whether there is a maintenance record within a preset range of each first UAV, and uses the first UAV without a maintenance record within the preset range as the second UAV, and sends a temporary inspection control signal to the second UAV.
[0035] As an optional implementation of the embodiment of the present application, it also includes: obtaining inspection data of the abnormal location fed back by the first drone; identifying the abnormality type based on the inspection data; sending a maintenance signal based on the abnormality type; obtaining a preset maintenance time based on the abnormality type; after sending the maintenance signal, including: real-time judgment on whether maintenance feedback data is received within the preset maintenance time; if maintenance feedback data is not received within the preset time, obtaining the corresponding maintenance personnel; marking the maintenance personnel and sending penalty information based on the maintenance type.
[0036] The electronic device obtains the inspection data of the abnormal position fed back by the first drone, and then identifies the abnormal type based on the stored data, and then sends a maintenance signal based on the abnormal type, and at the same time obtains the preset maintenance time based on the abnormal type, so that the maintenance personnel go for maintenance. After that, the electronic device determines in real time whether the maintenance feedback data is received within the preset maintenance time, that is, whether the maintenance personnel complete the task within the specified time. If the maintenance feedback data is not received within the preset time, it means that the maintenance personnel did not complete the task within the specified time, so the electronic device obtains the corresponding maintenance personnel, and then marks them, and sends penalty information at the same time.
[0037] As an optional implementation mode of an embodiment of the present application, when maintenance feedback data is received within a preset time, it also includes: obtaining the inspection record of the maintenance personnel; judging whether to supervise the current maintenance of the maintenance personnel based on the inspection record and the inspection strategy; if the current maintenance of the maintenance personnel is supervised, obtaining the inspection results after the inspection; judging whether there are rectification issues based on the inspection results; if there are rectification issues, outputting a rectification prompt signal based on the rectification issues.
[0038] When the maintenance feedback data is received within the preset time, it indicates that the maintenance personnel have completed the maintenance task within the specified time. The electronic device obtains the maintenance personnel's inspection record, that is, checks the maintenance personnel's previous inspections, and then determines whether to inspect the maintenance personnel's current maintenance based on the inspection record and inspection strategy. If inspection is carried out, the electronic device obtains the inspection result after the inspection, and then determines whether there are any problems that need to be rectified in this maintenance based on the inspection result. If there are any rectification problems, the electronic device outputs a rectification prompt signal based on the rectification problem. This enables the maintenance task to be better completed when the same abnormal situation is repaired in the future.
[0039] As an optional implementation of the embodiment of the present application, it also includes: obtaining the number of historical abnormalities based on the abnormal location; determining whether the number of historical abnormalities is greater than a first threshold; if the number of historical abnormalities is greater than the first threshold, obtaining the patrol route of the drone; and correcting the patrol route based on the abnormal location to increase the patrol frequency of the abnormal location.
[0040] The electronic device obtains the number of historical abnormalities based on the abnormal location, and determines whether the number of historical abnormalities is greater than the first threshold, that is, whether the number of abnormalities at this abnormal location is too many. If the number of historical abnormalities is greater than the first threshold, the electronic device obtains the inspection route of the drone, and modifies the inspection route based on the abnormal location, thereby increasing the inspection frequency of the abnormal location. The abnormal location is better monitored to detect abnormal situations more timely.
[0041] As an optional implementation of an embodiment of the present application, after the inspection route is corrected based on the abnormal position, it also includes: calculating the abnormal frequency based on the historical number of abnormalities; determining whether the abnormal frequency is greater than a second threshold; if the abnormal frequency is greater than the second threshold, stopping the step of correcting the inspection route based on the abnormal position; and outputting a permanent prompt signal.
[0042] After correcting the inspection route, the electronic device calculates the abnormal frequency based on the historical abnormal number and determines whether the abnormal frequency is greater than the second threshold. If the abnormal frequency is greater than the second threshold, it indicates that the abnormality occurs too frequently, so the electronic device outputs a permanent prompt signal.
[0043] That is, you can set up a drone to patrol this location alone, or you can dispatch staff to be stationed there for a long time.
[0044] Figure 2 A structural block diagram of an intelligent patrol monitoring control device 700 provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, the intelligent patrol monitoring control device 700 includes: A first acquisition module 701 is used to acquire detection data transmitted by the sensor module; A construction module 702 is used to construct a display model based on the detection data; The first control module 703 is used to control the display module to display the display model; The judging module 704 is used to judge whether the detection data meets the preset requirements; if the detection data does not meet the preset requirements, it will be transferred to the second acquisition module 705; A second acquisition module 705 is used to acquire an abnormal position based on abnormal detection data; The marking module 706 is used to mark the abnormal position in the display model and enlarge the abnormal position.
[0045] In this optional embodiment, the intelligent patrol monitoring control device 700 further includes: The first acquisition submodule is used to acquire the drone position data when the detection data does not meet the preset requirements; A first calculation submodule, used for calculating a distance value based on the position data and the abnormal position; A second acquisition submodule, used to acquire a minimum distance value and use the acquired minimum distance value as a first distance value; A third acquisition submodule is used to acquire a first UAV corresponding to the first distance value; The first sending submodule is used to send a temporary inspection control signal to the first UAV, so that the first UAV immediately moves to the abnormal position for inspection.
[0046] In this optional embodiment, the intelligent patrol monitoring control device 700 further includes: A fourth acquisition submodule, configured to acquire a first number of the first UAVs before sending a temporary inspection control signal to the first UAV; A first judging submodule, used to judge whether the first number is greater than one; If the first number is not greater than one, continue to execute the step of sending a temporary inspection control signal to the first UAV; if the first number is greater than one, proceed to the second judgment submodule; The second judgment submodule is used to judge whether there is a maintenance record within the preset range of the first drone; if there is no maintenance record within the preset range of the first drone, a first drone without a maintenance record within the preset range is obtained, and the obtained first drone is used as the second drone; The second sending submodule is used to stop executing the step of sending a temporary patrol control signal to the first UAV and switch to sending a temporary patrol control signal to the second UAV In this optional embodiment, the intelligent patrol monitoring control device 700 further includes: A fifth acquisition submodule is used to acquire the inspection data of the abnormal location fed back by the first drone; A first identification submodule, used to identify the abnormal type based on the inspection data; A third sending submodule is used to send a maintenance signal based on the abnormality type; A sixth acquisition submodule, used to acquire a preset maintenance time based on anomaly type; The third judgment submodule is used to judge in real time whether the maintenance feedback data is received within the preset maintenance time after the maintenance signal is sent; if the maintenance feedback data is not received within the preset time, the corresponding maintenance personnel are obtained; The first marking submodule is used to mark the maintenance personnel and send penalty information based on the maintenance type.
[0047] In this optional embodiment, the intelligent patrol monitoring control device 700 further includes: The seventh acquisition submodule is used to obtain the inspection record of the maintenance personnel when the maintenance feedback data is received within a preset time; The fourth judgment submodule is used to judge whether to supervise the current maintenance of the maintenance personnel based on the supervision record and the supervision strategy; if the current maintenance of the maintenance personnel is supervised, the supervision result after the supervision is obtained; The fifth judgment submodule is used to judge whether there are rectification issues based on the inspection results; if there are rectification issues, a rectification prompt signal is output based on the rectification issues.
[0048] In this optional embodiment, the intelligent patrol monitoring control device 700 further includes: An eighth acquisition submodule is used to acquire the number of historical anomalies based on the anomaly position; The sixth judgment submodule is used to judge whether the number of historical abnormalities is greater than the first threshold; if the number of historical abnormalities is greater than the first threshold, the inspection route of the drone is obtained; The first correction submodule is used to correct the inspection route based on the abnormal position to increase the inspection frequency of the abnormal position.
[0049] In this optional embodiment, the intelligent patrol monitoring control device 700 further includes: A second calculation submodule is used to calculate the abnormal frequency based on the number of historical abnormalities after the inspection route is corrected based on the abnormal position; The seventh judgment submodule is used to judge whether the abnormal frequency is greater than the second threshold; if the abnormal frequency is greater than the second threshold, the step of correcting the inspection route based on the abnormal position is stopped; The first output submodule is used to output a permanent prompt signal.
[0050] Figure 3 The electronic device 800 is a block diagram of a structure of an electronic device 800 provided in an embodiment of the present application. The electronic device 800 may be a mobile phone, a tablet computer, a PC, a server, etc. Figure 3 As shown, the electronic device 800 includes a memory 801, a processor 802 and a communication bus 803; the memory and the processor 802 are connected via the communication bus 803. The memory 801 stores a computer program that can be loaded by the processor 802 and execute the intelligent patrol monitoring control method provided in the above embodiment.
[0051] The memory 801 may be used to store instructions, programs, codes, code sets or instruction sets. The memory 801 may include a program storage area and a managed data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the intelligent patrol monitoring control method provided in the above embodiment, etc.; the managed data storage area may store managed data involved in the intelligent patrol monitoring control method provided in the above embodiment, etc.
[0052] The processor 802 may include one or more processing cores. The processor 802 calls the managed data stored in the memory 801 by running or executing the instructions, programs, code sets or instruction sets stored in the memory 801, executes various functions of the present application and processes the managed data. The processor 802 may be at least one of an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller and a microprocessor. It is understandable that for different devices, the electronic device used to implement the above-mentioned processor 802 function can also be other, and the embodiment of the present application is not specifically limited.
[0053] The communication bus 803 may include a path to transmit information between the above components. The communication bus 803 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 803 may be divided into an address bus, a managed data bus, a control bus, etc. For ease of representation, Figure 3 Only one double arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.
[0054] An embodiment of the present application provides a computer storage medium storing a computer program that can be loaded by a processor and execute the intelligent patrol monitoring control method provided in the above embodiment.
[0055] In this embodiment, the computer storage medium may be a tangible device that holds and stores instructions used by the instruction execution device. The computer storage medium may be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, the computer storage medium may be a portable computer disk, a hard disk, a USB flash drive, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a podium random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, an optical disk, a magnetic disk, a mechanical encoding device, and any combination thereof.
[0056] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.
Claims
1. An intelligent patrol monitoring control method, characterized in that: include: Acquire detection data transmitted by the sensor module; Building a display model based on the detection data; Control the display module to display the display model; Determine whether the detection data meets the preset requirements; If the detection data does not meet the preset requirement, obtaining the abnormal position based on the abnormal detection data; The abnormal location is marked in the presentation model and the abnormal location is enlarged.
2. The intelligent patrol monitoring control method according to claim 1 is characterized in that: When the detection data does not meet the preset requirements, the method further includes: Get drone location data; calculating a distance value based on the position data and the abnormal position; Obtaining a minimum distance value and using the obtained minimum distance value as a first distance value; Acquire a first drone corresponding to the first distance value; A temporary inspection control signal is sent to the first UAV, so that the first UAV immediately moves to the abnormal location for inspection.
3. The intelligent patrol monitoring control method according to claim 2 is characterized in that: Before sending the temporary inspection control signal to the first UAV, the method further includes: Obtaining a first number of the first drones; determining whether the first number is greater than one; If the first number is not greater than one, continuing to execute the step of sending a temporary patrol control signal to the first UAV; If the first number is greater than one, determining whether there is a maintenance record within a preset range of the first drone; If there is no maintenance record within the preset range of the first drone, obtaining a first drone that does not have a maintenance record within the preset range, and using the obtained first drone as the second drone; Stop executing the step of sending a temporary patrol control signal to the first UAV, and switch to sending a temporary patrol control signal to the second UAV.
4. The intelligent patrol monitoring control method according to claim 2 is characterized in that: The method further comprises: Obtaining inspection data of the abnormal location fed back by the first drone; identifying anomaly types based on the inspection data; Sending a maintenance signal based on the abnormality type; Obtaining a preset maintenance time based on the abnormality type; After sending the maintenance signal, including: Determine in real time whether maintenance feedback data is received within the preset maintenance time; If the maintenance feedback data is not received within the preset time, obtaining the corresponding maintenance personnel; The maintenance personnel are marked and penalty information is sent based on the maintenance type.
5. The intelligent patrol monitoring control method according to claim 4 is characterized in that: When the maintenance feedback data is received within the preset time, the method further includes: Obtaining the inspection records of the maintenance personnel; Determine whether to supervise the current maintenance of the maintenance personnel based on the supervision record and the supervision strategy; If the maintenance performed by the maintenance personnel is supervised, the inspection result after the supervision is obtained; Determine whether there are any rectification issues based on the inspection results; If there are rectification issues, a rectification prompt signal is output based on the rectification issues.
6. The intelligent patrol monitoring control method according to claim 2 is characterized in that: The method further comprises: Acquire the number of historical anomalies based on the anomaly location; Determine whether the number of historical abnormalities is greater than a first threshold; If the number of historical abnormalities is greater than the first threshold, obtaining the inspection route of the drone; The inspection route is modified based on the abnormal location to increase the inspection frequency of the abnormal location.
7. The intelligent patrol monitoring control method according to claim 6 is characterized in that: After the inspection route is corrected based on the abnormal position, the method further includes: Calculate the abnormality frequency based on the historical abnormality number; Determining whether the abnormal frequency is greater than a second threshold; If the abnormal frequency is greater than the second threshold, stopping the step of correcting the inspection route based on the abnormal position; Outputs a permanent prompt signal.
8. An intelligent patrol monitoring control device, characterized in that: include: A first acquisition module, used to acquire detection data transmitted by the sensor module; A construction module, used to construct a display model based on the detection data; A first control module, used to control the display module to display the display model; A judgment module, used to judge whether the detection data meets the preset requirements; if the detection data does not meet the preset requirements, then transfer to the second acquisition module; A second acquisition module, used for acquiring an abnormal position based on the abnormal detection data; The marking module is used to mark the abnormal position in the display model and enlarge the abnormal position.
9. An electronic device, characterized in that: The electronic device comprises a processor coupled to a memory; the processor is used to execute a computer program stored in the memory so that the electronic device executes the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that: The method comprises a computer program or an instruction, which, when executed on a computer, causes the computer to execute the method according to any one of claims 1 to 7.