Gas pipe network intelligent inspection method, system and terminal based on Beidou positioning

Abstract

The invention discloses a gas pipe network intelligent inspection method, system and terminal based on Beidou positioning, and the method comprises the steps: determining a target grid region, and carrying out the initial grid division processing of the target grid region, and obtaining a plurality of first sub-grids; obtaining a business object in each first sub-grid, and performing grid re-division processing on each first sub-grid according to the business object to obtain a plurality of second sub-grids; acquiring an inspection task corresponding to each second sub-grid, generating an inspection work order according to the inspection task, and sending the inspection work order to the target inspection personnel; and obtaining the inspection position information of the target inspection personnel, obtaining the inspection condition of the target inspection personnel according to the inspection position information, and obtaining the inspection result of the inspection task. According to the invention, the subnet division is carried out on the target grid area, the inspection work order can be automatically generated, the corresponding inspection personnel are arranged for processing, and the issuing efficiency and the processing efficiency of the inspection task are effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent inspection technology, and in particular to a gas pipeline network intelligent inspection method, system, terminal and computer-readable storage medium based on Beidou positioning. Background Art

[0002] In the transmission and distribution management of gas pipeline network operation, the inspection task of gas pipeline network is a very important part, and the inspection can effectively ensure the normal operation of gas pipeline network operation. However, in the traditional gas pipeline network operation, the inspection of gas pipeline network often requires the dispatcher to determine the inspection personnel according to the inspection task, and the communication and negotiation between the inspection personnel and the operation dispatcher is inefficient, which affects the normal operation of the gas pipeline network.

[0003] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0004] The main purpose of the present invention is to provide a gas pipeline network intelligent inspection method, system, terminal and computer-readable storage medium based on Beidou positioning, aiming to solve the problem of low efficiency in inspection task allocation of gas pipeline networks in the prior art.

[0005] To achieve the above object, the present invention provides a gas pipeline network intelligent inspection method based on Beidou positioning, and the gas pipeline network intelligent inspection method based on Beidou positioning comprises the following steps:

[0006] Determine a target grid area, and perform initial grid division processing on the target grid area to obtain a plurality of first sub-grids;

[0007] Acquire a business object in each of the first sub-grids, and perform grid re-division processing on each of the first sub-grids according to the business object to obtain a plurality of second sub-grids;

[0008] Obtaining the inspection task corresponding to each of the second sub-grids, generating an inspection work order according to the inspection task, and sending the inspection work order to a target inspection personnel;

[0009] The inspection position information of the target inspection personnel is obtained, and the inspection situation of the target inspection personnel is obtained according to the inspection position information to obtain the inspection result of the inspection task.

[0010] Optionally, the method for intelligent inspection of gas pipeline network based on Beidou positioning, wherein the step of determining a target grid area and performing initial grid division processing on the target grid area to obtain a plurality of first sub-grids specifically includes:

[0011] Determine a target area, and perform grid processing on the target area to obtain a target grid area;

[0012] Acquire the service type and the corresponding service type quantity in the target grid area, and divide the target grid area into a plurality of initial subgrids according to the service type and the service type quantity;

[0013] A grid identification process is performed on the plurality of initial subgrids to obtain a plurality of first subgrids, wherein the grid identification process includes grid naming setting, grid color setting, and grid service type setting.

[0014] Optionally, the intelligent inspection method for gas pipeline network based on Beidou positioning, wherein the acquiring of the business object in each of the first sub-grids and the re-dividing of each of the first sub-grids according to the business object to obtain a plurality of second sub-grids specifically includes:

[0015] Acquire the business object in each of the first sub-grids, and acquire the start time of the business object;

[0016] It is determined whether the start times corresponding to the business objects in each of the first sub-grids are the same; if they are not the same, each of the first sub-grids is re-divided into a grid to obtain a plurality of second sub-grids.

[0017] Optionally, the intelligent inspection method for gas pipeline network based on Beidou positioning, wherein the obtaining of the inspection task corresponding to each second sub-grid, generating an inspection work order according to the inspection task, and sending the inspection work order to the target inspection personnel, specifically includes:

[0018] Obtaining the inspection task corresponding to each of the second sub-grids, and determining the inspection content, inspection cycle, and inspection frequency of the inspection task;

[0019] An inspection work order is generated according to the inspection content, the inspection cycle and the inspection frequency, and the inspection work order is matched with a preset inspection personnel database to obtain a matched target inspection personnel, and the inspection work order is sent to the target inspection personnel.

[0020] Optionally, the intelligent inspection method for gas pipeline network based on Beidou positioning, wherein the inspection work order is matched with a preset inspection personnel database to obtain a matching target inspection personnel, specifically includes:

[0021] Matching inspection personnel in the preset inspection personnel database according to the business type corresponding to the inspection work order, and obtaining a plurality of matching inspection personnel arranged in a preset order;

[0022] The inspection skills required to complete the inspection work order are determined, and the multiple matching inspection personnel are screened in the preset order according to the inspection skills to obtain the target inspection personnel with the inspection skills.

[0023] Optionally, the intelligent inspection method for gas pipeline network based on Beidou positioning, wherein the obtaining of the inspection position information of the target inspection personnel, and obtaining the inspection situation of the target inspection personnel according to the inspection position information, and obtaining the inspection result of the inspection task specifically includes:

[0024] Obtaining the order-receiving location of the target inspection personnel and the inspection target location in the inspection work order, and setting inspection verification information according to the order-receiving location and the inspection target location, wherein the inspection verification information includes the inspection planning route, inspection verification points and inspection buffer zone;

[0025] When the target inspection personnel executes the inspection work order according to the inspection planning route, the real-time inspection position and inspection trajectory of the target inspection personnel are obtained based on Beidou positioning;

[0026] According to the real-time inspection position and the inspection track, it is determined whether the target inspection personnel has entered the inspection buffer and passed the inspection verification point. If so, the inspection situation uploaded by the target inspection personnel is obtained to obtain the inspection result of the inspection task.

[0027] Optionally, the intelligent inspection method for gas pipeline network based on Beidou positioning, wherein the obtaining of the inspection position information of the target inspection personnel, and obtaining the inspection situation of the target inspection personnel according to the inspection position information, and obtaining the inspection result of the inspection task, further comprises:

[0028] Determine inspection hidden danger information according to the inspection results, wherein the inspection hidden danger information includes hidden danger source, hidden danger location, hidden danger project and hidden danger discovery time;

[0029] A hidden danger handling work order and a corresponding handling personnel are generated according to the inspection hidden danger information, and the hidden danger handling work order is sent to the handling personnel to handle the inspection hidden danger information.

[0030] In addition, to achieve the above purpose, the present invention also provides a gas pipeline network intelligent inspection system based on Beidou positioning, wherein the gas pipeline network intelligent inspection system based on Beidou positioning includes:

[0031] An initial grid division module is used to determine a target grid area and perform initial grid division processing on the target grid area to obtain a plurality of first sub-grids;

[0032] A grid re-dividing module, used for obtaining the business object in each of the first sub-grids, and performing grid re-dividing processing on each of the first sub-grids according to the business object to obtain a plurality of second sub-grids;

[0033] An inspection work order generation module, used for obtaining the inspection task corresponding to each second sub-grid, generating an inspection work order according to the inspection task, and sending the inspection work order to a target inspection personnel;

[0034] The inspection result generating module is used to obtain the inspection position information of the target inspection personnel, and obtain the inspection situation of the target inspection personnel according to the inspection position information, so as to obtain the inspection result of the inspection task.

[0035] In addition, to achieve the above-mentioned purpose, the present invention also provides a terminal, wherein the terminal includes: a memory, a processor, and a Beidou positioning-based gas pipeline network intelligent inspection program stored in the memory and runnable on the processor, and when the Beidou positioning-based gas pipeline network intelligent inspection program is executed by the processor, the steps of the Beidou positioning-based gas pipeline network intelligent inspection method as described above are implemented.

[0036] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a gas pipeline network intelligent inspection program based on Beidou positioning, and when the gas pipeline network intelligent inspection program based on Beidou positioning is executed by a processor, the steps of the gas pipeline network intelligent inspection method based on Beidou positioning as described above are implemented.

[0037] In the present invention, the target grid area is determined, and the target grid area is initially grid-divided to obtain a plurality of first subgrids; the business objects in each of the first subgrids are obtained, and each of the first subgrids is grid-redivided according to the business objects to obtain a plurality of second subgrids; the inspection tasks corresponding to each of the second subgrids are obtained, an inspection work order is generated according to the inspection tasks, and the inspection work order is sent to the target inspection personnel; the inspection location information of the target inspection personnel is obtained, and the inspection situation of the target inspection personnel is obtained according to the inspection location information, and the inspection results of the inspection tasks are obtained. By performing two subnet divisions on the target grid area, the present invention can automatically generate inspection work orders according to the corresponding inspection tasks in the subnets, and determine the corresponding inspection personnel, which effectively improves the generation efficiency and issuance efficiency of inspection work orders, and at the same time, ensures the normal operation of the gas pipeline network operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a flow chart of a preferred embodiment of the gas pipeline network intelligent inspection method based on Beidou positioning of the present invention;

[0039] Figure 2 It is a structural diagram of a preferred embodiment of the gas pipeline network intelligent inspection system based on Beidou positioning of the present invention;

[0040] Figure 3 It is a structural diagram of a preferred embodiment of the terminal of the present invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0042] In the transmission and distribution management of gas pipeline network operation, the inspection task of gas pipeline network is a very important part, and the inspection can effectively ensure the normal operation of gas pipeline network operation. However, in the traditional gas pipeline network operation, the inspection of gas pipeline network often requires the dispatcher to determine the inspection personnel according to the inspection task, and the communication and negotiation between the inspection personnel and the operation dispatcher is inefficient, which affects the normal operation of the gas pipeline network.

[0043] The intelligent inspection method for gas pipeline network based on Beidou positioning described in the preferred embodiment of the present invention is as follows: Figure 1 As shown, the gas pipeline network intelligent inspection method based on Beidou positioning includes the following steps:

[0044] Step S10: determine a target grid area, and perform initial grid division processing on the target grid area to obtain a plurality of first sub-grids.

[0045] After determining the designated target area, the target area can be gridded to facilitate management and business execution, so as to enable clear regional division. The initial grid division process set in the present invention is to classify and divide according to the corresponding different business types in the target grid area, which can facilitate the processing of subsequent business.

[0046] Specifically, a target area is determined, and the target area is gridded to obtain a target grid area; the business type and the corresponding number of business types in the target grid area are obtained, and the target grid area is divided into a plurality of initial sub-grids according to the business type and the number of business types; a grid identification process is performed on the plurality of initial sub-grids to obtain a plurality of first sub-grids, wherein the grid identification process includes a grid naming setting, a grid color setting, and a grid business type setting.

[0047] First, select the distribution station under the project company, and obtain the management area of ​​the distribution station (i.e., the target area in the present invention), click the [Grid Division] function, and the grid division quantity setting will pop up (this grid division quantity can be determined according to the number of business types, so that each first sub-grid obtained after division corresponds to a business type). After setting the grid division quantity, divide the polygonal surface of the distribution station area (i.e., the target grid area in the present invention) into N grids (i.e., obtain multiple initial sub-grids in the present invention).

[0048] After that, click to edit each initial sub-grid, name the initial sub-grid, set the grid color, and set the business type included in each grid to obtain the first sub-grid. This can more intuitively distinguish the business scope between each first sub-grid area, facilitate the further division of subsequent sub-nets and the issuance and processing of business tasks.

[0049] Step S20: Acquire the business object in each of the first sub-grids, and perform grid re-division processing on each of the first sub-grids according to the business object to obtain a plurality of second sub-grids.

[0050] After obtaining the first subgrid, the time setting is started according to the business activities in the first subgrid. In the same grid, the business objects in the first subgrid are divided into multiple small grids again (i.e., multiple second subgrids in the present invention are obtained) according to the different start times of the business activities in the first subgrid.

[0051] Specifically, obtain the business objects in each of the first sub-grids and obtain the start time of the business objects; determine whether the start times corresponding to the business objects in each of the first sub-grids are the same; if they are not the same, re-divide each of the first sub-grids to obtain multiple second sub-grids.

[0052] Since the director of each distribution station adopts the method of slicing and allocating when assigning work to the personnel in the station, for example: A is responsible for the work tasks of grid 1 in the distribution station, including: inspection, maintenance and scheduled inspection and other tasks. As long as A can be busy, the work of grid 1 will be assigned to A. In order to meet this business scenario, the functional design is based on the business type hierarchy tree to perform grid division, and supports the simultaneous grid division of multiple business types (which can be subclasses of different business categories). Among them, grid creation includes: setting of grid name and grid style. After the grid division is completed, it supports the setting of the business activity start time of the grid based on the grid, and supports the business objects in the first sub-grid to be divided into multiple small grids again according to the different start times of the business activities in the same grid (that is, multiple second sub-grids in the present invention are obtained). According to the set start time, the system automatically generates tasks, and the planned end time = start time + cycle, and the tasks are generated according to the cycle cycle. The system automatically calculates and records the planned end time of each cycle. Thereby ensuring that the business objects in the same cycle (inspection, maintenance, scheduled inspection) do not perform business activities in the last month of the task cycle.

[0053] For example, when inspecting high-pressure pipelines, the inspection frequency is 2 inspections a day or 1 inspection a day, so there will be inspection tasks every day. There will not be a situation where there are more inspection tasks on one day and fewer inspection tasks on other days. Therefore, there is no need to split the grid. However, high-pressure pipelines are divided into municipal and mountainous areas. The inspection frequencies corresponding to municipal and mountainous areas are different, so the planned start time needs to be set separately.

[0054] For example, for inspections of medium and low voltage and a courtyard, the inspection frequency is once a day or once every two days. If the grid is not split based on the start time for the once every two days inspection, there will be more tasks on the first day and fewer tasks on the second day. Therefore, the grid needs to be split based on the start time (that is, the first sub-grid is split into the second sub-grid).

[0055] For example, for public pipeline inspections, the inspection frequency is once every 7 days. If the grid is not split based on the start time, there will be a lot of tasks on the first day, and there will be no tasks corresponding to the business type in the next 6 days, which will result in fewer inspection tasks in the next 6 days. Therefore, the grid needs to be split based on the start time.

[0056] For example, the inspection frequency of the Yinbao detection is once every 6 days. If the grid is not split based on the start time, a large number of inspection tasks will be completed in the last few days of a cycle, so the grid needs to be split based on the start time. The tasks generated by the grid split based on time are required to be completed in the first month. After the cycle, there will be Yinbao detection tasks every month, and it is guaranteed that the number of tasks each month will not be too large.

[0057] Step S30: Obtain the inspection task corresponding to each of the second sub-grids, generate an inspection work order according to the inspection task, and send the inspection work order to a target inspection personnel.

[0058] After the second sub-grid is divided, it is necessary to determine the corresponding inspection tasks in the second sub-grid, and automatically generate corresponding inspection work orders based on the inspection tasks and determine the corresponding target inspection personnel to perform the inspection tasks without the need for temporary assignment by the dispatcher every time.

[0059] Specifically, the inspection tasks corresponding to each of the second sub-grids are obtained, and the inspection content, inspection cycle and inspection frequency of the inspection tasks are determined; an inspection work order is generated according to the inspection content, the inspection cycle and the inspection frequency, and inspection personnel are matched in the preset inspection personnel database according to the business type corresponding to the inspection work order to obtain a plurality of matching inspection personnel arranged in a preset order; the inspection skills required to complete the inspection work order are determined, and a plurality of matching inspection personnel are screened in the preset order according to the inspection skills to obtain a target inspection personnel with the inspection skills, and the inspection work order is sent to the target inspection personnel.

[0060] The present invention automatically generates an inspection task list (i.e., the inspection work order in the present invention) according to the configuration conditions such as the grid range, inspection content, inspection cycle, inspection frequency, and start time that have been set according to the planning module. According to the task dispatch arrangement in the task list dispatch module, the system automatically dispatches the task list to the inspector (i.e., the target inspector in the present invention. The system will directly match the inspection task list with the preset inspection personnel database to obtain the matched target inspector). For example, the target inspector clicks "Confirm Order" (clicks the order confirmation button) before 7:30 on the day of the inspection. If the order is not received after 7:30, the system has a reminder function (not limited to mobile phone text messages, automatic voice prompts, and ringtones). The reminder setting time is limited to once every 5 minutes and copied to the distribution director and operation engineer.

[0061] Regarding the task order transfer settings: If the inspector has other work arrangements temporarily and cannot accept the order, or suddenly has other work to do after accepting the order and cannot perform this task, he can click the "task order transfer button" to return it to the director. The director will pop up the "Do you want to transfer" interface through the handheld APP. The director clicks "Yes" to pop up the list of inspectors in the station for transfer.

[0062] The present invention supports the designated scheduling of the on-duty person in charge of each shift within a period of time (for example: one month), the on-duty person in charge's mobile phone, and the on-duty personnel of all shifts (all shifts that have been entered in the shift management) at one time, supports multiple selection of N days, and assigns the on-duty personnel of a certain shift. Multiple selection of names is supported.

[0063] Furthermore, in shift management, each station maintains its own shift name. In addition, in shift management, the station director can select N dates and assign a person on duty for each shift, supporting multiple selection of names, and the name value comes from the person in the distribution station who has the corresponding shift skills.

[0064] Regarding the dispatch of task orders: under each business subtype, grid work task packages are divided, and in the future (for example: one month), the grid work task packages are dispatched to someone on duty at the distribution station. Among them, the present invention supports the simultaneous selection of multiple grid work task packages, which are all dispatched to the same person for a period of time; and the present invention can select the personnel to dispatch tasks, who must be the personnel on duty in the shift management and have the skills of the selected task package. In addition, the system supports the automatic determination of the task cycle of the selected task package. If it is an inspection task package that must be completed every day, it can be dispatched every day; if it is an inspection task package once a week, it will be dispatched once a week; if it is an inspection task package once a month or more than one month, it will be dispatched according to the cycle of the task order.

[0065] The present invention effectively improves the efficiency of issuing and processing inspection tasks by arranging the automatic generation of inspection work orders and automatically matching corresponding inspection personnel.

[0066] Step S40: Obtain the inspection position information of the target inspection personnel, and obtain the inspection situation of the target inspection personnel according to the inspection position information to obtain the inspection result of the inspection task.

[0067] The present invention generates a corresponding inspection route based on the inspection work order. The target inspection personnel can inspect the set inspection points in sequence according to the inspection route. During this period, in order to determine whether the target inspection personnel are performing the inspection task, the present invention also sets an inspection buffer, so as to effectively verify whether the inspection area of ​​the target inspection personnel meets the requirements. At the same time, the present invention also obtains the real-time location information and inspection trajectory of the target inspection personnel based on Beidou positioning, so as to have a clearer understanding of the entire process of implementing the inspection task.

[0068] At the same time, based on Beidou positioning, the present invention realizes the real-time positioning and trajectory playback functions of inspection personnel and inspection vehicles, which is conducive to the planned management of pipeline inspection and equipment maintenance work, and provides a closing plan for the repair and maintenance of pipe burst and leakage accidents. Inspection personnel interact with the system through mobile inspection, and can push maintenance work orders and user maintenance notifications in time after the inspection is completed, thereby realizing the information management of inspection work and providing auxiliary decision-making support for the transformation, optimization and expansion of the pipeline network.

[0069] Specifically, the order-receiving position of the target patrol personnel and the inspection target position in the inspection work order are obtained, and inspection verification information is set according to the order-receiving position and the inspection target position, wherein the inspection verification information includes the inspection planning route, inspection verification point and inspection buffer zone; when the target patrol personnel executes the inspection work order according to the inspection planning route, the real-time inspection position and inspection trajectory of the target patrol personnel are obtained based on Beidou positioning; based on the real-time inspection position and the inspection trajectory, it is determined whether the target patrol personnel has entered the inspection buffer zone and passed the inspection verification point; if so, the inspection situation uploaded by the target patrol personnel is obtained to obtain the inspection result of the inspection task.

[0070] Among them, for the planning of the inspection route, in addition to using the inspection personnel's order receiving address, inspection points and inspection target location to generate, the present invention can also obtain the priority of the inspection equipment corresponding to the inspection point to optimize the inspection route. According to the inspection priority (according to the inspection task requirements, different inspection priorities are set for different pipe network equipment to ensure that important inspection equipment can be inspected and maintained in time), the inspection points with high priority levels are placed at the front of the route as much as possible. At the same time, the optimization design of the comprehensive route and the automatic adjustment of the inspection route can avoid unnecessary repeated paths and the problem of missing inspections of important inspection equipment, effectively improving the efficiency of the inspection.

[0071] Inspection personnel conduct inspections through handheld apps, which provide functions such as task route navigation, equipment code scanning and clocking in, on-site photo taking and recording, etc., to guide inspection personnel to complete inspections in a standardized and efficient manner. For example, when the APP generates the optimal inspection path and sends it to the inspection personnel through the mobile terminal, it is associated with electronic work orders, equipment QR codes and other information to achieve intelligent operation assistance such as code scanning confirmation, location tracking and risk warnings. During the inspection process, the actual trajectory of the personnel is compared with the planned path in real time. If the deviation exceeds the preset threshold or the progress delay exceeds the preset threshold, correction guidance is provided through voice interaction.

[0072] The present invention sets up inspection points and inspection buffers respectively, so as to obtain the inspection task execution status of the target inspection personnel. For example, for the setting of inspection points: which pressure regulating boxes does the present invention need to set as inspection points for pipe network terminal pressure detection and tetrahydrothiophene concentration detection. For the setting of the buffer zone: based on the business subclass, the buffer zone is set. After the buffer zone is set, when the inspection business activities are executed through the APP, the GPS location track enters the buffer zone and the system determines that the inspection requirements are met; when executing inspection, maintenance and scheduled inspection business activities, after the GPS location enters the buffer zone, the list of contents that need to be filled in the business activity inspection will automatically pop up to record the inspection results.

[0073] Workload preview for inspection personnel: After the grid division is completed and the task plan start time and inspection points are configured, the workload and time consumption in each grid can be viewed through the workload preview, which helps the director of the transmission and distribution station to determine whether the workload in the divided grid is appropriate and whether the corresponding workload can be completed when it is assigned to a certain person.

[0074] Furthermore, inspection hidden danger information is determined based on the inspection results, wherein the inspection hidden danger information includes the source of the hidden danger, the location of the hidden danger, the project to which the hidden danger belongs, and the time when the hidden danger is discovered; a hidden danger handling work order and corresponding handling personnel are generated based on the inspection hidden danger information, and the hidden danger handling work order is sent to the handling personnel to handle the inspection hidden danger information.

[0075] Plan summary: According to the plan compiled by the periodic task planning module, the number of task orders generated in the future, the accumulated workload of the task orders, and the time consumed are counted to help managers understand how much workload there is in the future, how many people need to be on duty, and whether additional staff need to be arranged. The data that needs to be recorded in the plan summary are as follows:

[0076] 1. Number of task orders: Under a business type (such as: pressure regulating box leakage detection), each grid generates tasks according to the time rules for generating tasks. If the grid is subdivided based on the planned start time, each subdivided grid will generate 1 task in each cycle. Query calculation rules: The start time of the task order within the query time range is the number of task orders within that period. For example: Yinbao pile detection, the inspection frequency is once every 6 months. Based on the start time, grid 1 is subdivided into 6 small grids, and each small grid will generate 1 task in one cycle; inspection frequency: pipeline leakage detection, once a year, high-pressure valve room detection once a week, pressure regulating box leakage detection, once every 3 months. Pipeline terminal pressure detection, tetrahydrothiophene concentration detection, high-pressure valve well detection, pressure regulating cabinet detection, once a month.

[0077] 2. Workload: If the inspection is done twice a day, the workload = pipeline kilometers * 2. If the inspection is done once a day, the workload = pipeline kilometers. If the inspection is done every 2 days or every 7 days, the workload on the first day = pipeline kilometers. If the grids are subdivided based on the start time, the workload of each grid is the workload of the first day of the grid task start time.

[0078] 3. Time calculation rules: Calculate the time consumed in executing the task according to the performance standard (the performance standard is maintained in the pricing management module).

[0079] The present invention can display the work arrangements of all personnel in the distribution station for one day or N days, including: the total estimated time consumption for the day, the workload and sub-item time consumption of various tasks such as inspection, maintenance and scheduled inspection, and support query based on name and time period. The data of the inspection tasks being executed and completed will be displayed, and the execution progress of the tasks will be marked, for example: dispatched, received, in inspection and completed. The information should also include: task number, task start date (time), end time, person who should receive the order, actual person who receives the order, order receiving time, whether to transfer, pipeline mileage and standard time consumption. For tasks that have been inspected and completed, the inspection records should also be able to be viewed.

[0080] For the query of inspection data: you can search by task number, inspection frequency, risk level, inspection method, network attribute, task start date and end date, etc. For the query of inspection track: you can query by date or name to view the inspection track of a person on a certain day.

[0081] After obtaining the inspection results, the present invention can then conduct a review and analysis of the inspection process to identify abnormal data appearing in the inspection results, determine the corresponding pipe network equipment based on the abnormal data, generate corresponding work orders, and arrange designated personnel to handle them, thereby effectively ensuring the safe operation of the pipe network operation.

[0082] Furthermore, if Figure 2 As shown, based on the above-mentioned gas pipeline network intelligent inspection method based on Beidou positioning, the present invention also provides a gas pipeline network intelligent inspection system based on Beidou positioning, wherein the gas pipeline network intelligent inspection system based on Beidou positioning includes:

[0083] An initial grid division module 51 is used to determine a target grid area and perform initial grid division processing on the target grid area to obtain a plurality of first sub-grids;

[0084] A grid re-dividing module 52, configured to obtain a business object in each of the first sub-grids, and perform grid re-dividing processing on each of the first sub-grids according to the business object to obtain a plurality of second sub-grids;

[0085] An inspection work order generating module 53 is used to obtain the inspection task corresponding to each second sub-grid, generate an inspection work order according to the inspection task, and send the inspection work order to a target inspection personnel;

[0086] The inspection result generating module 54 is used to obtain the inspection position information of the target inspection personnel, and obtain the inspection situation of the target inspection personnel according to the inspection position information, so as to obtain the inspection result of the inspection task.

[0087] Furthermore, if Figure 3As shown, based on the above-mentioned Beidou positioning-based gas pipeline network intelligent inspection method and system, the present invention also provides a terminal accordingly, and the terminal includes a processor 10, a memory 20 and a display 30. Figure 3 Only some components of the terminal are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0088] In some embodiments, the memory 20 may be an internal storage unit of the terminal, such as a hard disk or memory of the terminal. In other embodiments, the memory 20 may also be an external storage device of the terminal, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the terminal. Further, the memory 20 may also include both an internal storage unit of the terminal and an external storage device. The memory 20 is used to store application software and various types of data installed on the terminal, such as the program code of the installation terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, the memory 20 stores a gas pipeline network intelligent inspection program 40 based on Beidou positioning, and the gas pipeline network intelligent inspection program 40 based on Beidou positioning can be executed by the processor 10, thereby realizing the gas pipeline network intelligent inspection method based on Beidou positioning in this application.

[0089] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run the program code or process data stored in the memory 20, such as executing the Beidou positioning-based gas pipeline intelligent inspection method.

[0090] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 30 is used to display information on the terminal and to display a visual user interface.

[0091] In one embodiment, when the processor 10 executes the Beidou positioning-based gas pipeline network intelligent inspection program 40 in the memory 20, the following steps are implemented:

[0092] Determine a target grid area, and perform initial grid division processing on the target grid area to obtain a plurality of first sub-grids;

[0093] Acquire a business object in each of the first sub-grids, and perform grid re-division processing on each of the first sub-grids according to the business object to obtain a plurality of second sub-grids;

[0094] Obtaining the inspection task corresponding to each of the second sub-grids, generating an inspection work order according to the inspection task, and sending the inspection work order to a target inspection personnel;

[0095] The inspection position information of the target inspection personnel is obtained, and the inspection situation of the target inspection personnel is obtained according to the inspection position information to obtain the inspection result of the inspection task.

[0096] The step of determining a target grid area and performing an initial grid division process on the target grid area to obtain a plurality of first subgrids specifically includes:

[0097] Determine a target area, and perform grid processing on the target area to obtain a target grid area;

[0098] Acquire the service type and the corresponding service type quantity in the target grid area, and divide the target grid area into a plurality of initial subgrids according to the service type and the service type quantity;

[0099] A grid identification process is performed on the plurality of initial subgrids to obtain a plurality of first subgrids, wherein the grid identification process includes grid naming setting, grid color setting, and grid service type setting.

[0100] The acquiring of the business object in each of the first sub-grids and performing grid redivision processing on each of the first sub-grids according to the business object to obtain a plurality of second sub-grids specifically includes:

[0101] Acquire the business object in each of the first sub-grids, and acquire the start time of the business object;

[0102] It is determined whether the start times corresponding to the business objects in each of the first sub-grids are the same; if they are not the same, each of the first sub-grids is re-divided into a grid to obtain a plurality of second sub-grids.

[0103] The obtaining of the inspection task corresponding to each second sub-grid, generating an inspection work order according to the inspection task, and sending the inspection work order to a target inspection personnel specifically includes:

[0104] Obtaining the inspection task corresponding to each of the second sub-grids, and determining the inspection content, inspection cycle, and inspection frequency of the inspection task;

[0105] An inspection work order is generated according to the inspection content, the inspection cycle and the inspection frequency, and the inspection work order is matched with a preset inspection personnel database to obtain a matched target inspection personnel, and the inspection work order is sent to the target inspection personnel.

[0106] The step of matching the inspection work order with a preset inspection personnel database to obtain a matching target inspection personnel specifically includes:

[0107] Matching inspection personnel in the preset inspection personnel database according to the business type corresponding to the inspection work order, and obtaining a plurality of matching inspection personnel arranged in a preset order;

[0108] The inspection skills required to complete the inspection work order are determined, and the multiple matching inspection personnel are screened in the preset order according to the inspection skills to obtain the target inspection personnel with the inspection skills.

[0109] The obtaining of the inspection position information of the target inspection personnel, and obtaining the inspection situation of the target inspection personnel according to the inspection position information, to obtain the inspection result of the inspection task, specifically includes:

[0110] Obtaining the order-receiving location of the target inspection personnel and the inspection target location in the inspection work order, and setting inspection verification information according to the order-receiving location and the inspection target location, wherein the inspection verification information includes the inspection planning route, inspection verification points and inspection buffer zone;

[0111] When the target inspection personnel executes the inspection work order according to the inspection planning route, the real-time inspection position and inspection trajectory of the target inspection personnel are obtained based on Beidou positioning;

[0112] According to the real-time inspection position and the inspection track, it is determined whether the target inspection personnel has entered the inspection buffer and passed the inspection verification point. If so, the inspection situation uploaded by the target inspection personnel is obtained to obtain the inspection result of the inspection task.

[0113] The step of obtaining the inspection position information of the target inspection personnel, and obtaining the inspection situation of the target inspection personnel according to the inspection position information to obtain the inspection result of the inspection task, further includes:

[0114] Determine inspection hidden danger information according to the inspection results, wherein the inspection hidden danger information includes hidden danger source, hidden danger location, hidden danger project and hidden danger discovery time;

[0115] A hidden danger handling work order and a corresponding handling personnel are generated according to the inspection hidden danger information, and the hidden danger handling work order is sent to the handling personnel to handle the inspection hidden danger information.

[0116] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a gas pipeline network intelligent inspection program based on Beidou positioning, and when the gas pipeline network intelligent inspection program based on Beidou positioning is executed by a processor, the steps of the gas pipeline network intelligent inspection method based on Beidou positioning as described above are implemented.

[0117] In summary, the present invention provides a method, system, terminal and computer-readable storage medium for intelligent inspection of gas pipeline network based on Beidou positioning, the method comprising: determining a target grid area, and performing initial grid division processing on the target grid area to obtain multiple first subgrids; obtaining the business object in each of the first subgrids, and performing grid re-division processing on each of the first subgrids according to the business object to obtain multiple second subgrids; obtaining the inspection task corresponding to each of the second subgrids, generating an inspection work order according to the inspection task, and sending the inspection work order to the target inspection personnel; obtaining the inspection location information of the target inspection personnel, and obtaining the inspection situation of the target inspection personnel according to the inspection location information, and obtaining the inspection result of the inspection task. The present invention can automatically generate an inspection work order according to the corresponding inspection task in the subnet and determine the corresponding inspection personnel by performing two subnet divisions on the target grid area, effectively improving the generation efficiency and issuance efficiency of the inspection work order, and at the same time, ensuring the normal operation of the gas pipeline network operation.

[0118] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal 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 terminal. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or terminal including the element.

[0119] Of course, those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the program can be stored in a computer-readable storage medium that can be read by a computer, and the program can include the processes of the above-mentioned method embodiments when executed. The computer-readable storage medium can be a memory, a disk, an optical disk, etc.

[0120] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A gas pipeline network intelligent inspection method based on Beidou positioning, characterized in that: The gas pipeline network intelligent inspection method based on Beidou positioning includes: Determine a target grid area, and perform initial grid division processing on the target grid area to obtain a plurality of first sub-grids; Acquire a business object in each of the first sub-grids, and perform grid re-division processing on each of the first sub-grids according to the business object to obtain a plurality of second sub-grids; Obtaining the inspection task corresponding to each of the second sub-grids, generating an inspection work order according to the inspection task, and sending the inspection work order to a target inspection personnel; The inspection position information of the target inspection personnel is obtained, and the inspection situation of the target inspection personnel is obtained according to the inspection position information to obtain the inspection result of the inspection task.

2. The intelligent inspection method for gas pipeline network based on Beidou positioning according to claim 1 is characterized in that: The determining of the target grid area and performing initial grid division processing on the target grid area to obtain a plurality of first subgrids specifically includes: Determine a target area, and perform grid processing on the target area to obtain a target grid area; Acquire the service type and the corresponding service type quantity in the target grid area, and divide the target grid area into a plurality of initial subgrids according to the service type and the service type quantity; A grid identification process is performed on the plurality of initial subgrids to obtain a plurality of first subgrids, wherein the grid identification process includes grid naming setting, grid color setting, and grid service type setting.

3. The intelligent inspection method for gas pipeline network based on Beidou positioning according to claim 1 is characterized in that: The acquiring of the business object in each of the first sub-grids and performing grid redivision processing on each of the first sub-grids according to the business object to obtain a plurality of second sub-grids specifically includes: Acquire the business object in each of the first sub-grids, and acquire the start time of the business object; It is determined whether the start times corresponding to the business objects in each of the first sub-grids are the same; if they are not the same, each of the first sub-grids is re-divided into a grid to obtain a plurality of second sub-grids.

4. The intelligent inspection method for gas pipeline network based on Beidou positioning according to claim 1 is characterized in that: The obtaining of the inspection task corresponding to each second sub-grid, generating an inspection work order according to the inspection task, and sending the inspection work order to a target inspection personnel specifically includes: Obtaining the inspection task corresponding to each of the second sub-grids, and determining the inspection content, inspection cycle, and inspection frequency of the inspection task; An inspection work order is generated according to the inspection content, the inspection cycle and the inspection frequency, and the inspection work order is matched with a preset inspection personnel database to obtain a matched target inspection personnel, and the inspection work order is sent to the target inspection personnel.

5. The intelligent inspection method for gas pipeline network based on Beidou positioning according to claim 4 is characterized in that: The matching of the inspection work order with a preset inspection personnel database to obtain a matched target inspection personnel specifically includes: Matching inspection personnel in the preset inspection personnel database according to the business type corresponding to the inspection work order, and obtaining a plurality of matching inspection personnel arranged in a preset order; The inspection skills required to complete the inspection work order are determined, and the multiple matching inspection personnel are screened in the preset order according to the inspection skills to obtain target inspection personnel with the inspection skills.

6. The intelligent inspection method for gas pipeline network based on Beidou positioning according to claim 1 is characterized in that: The obtaining of the inspection position information of the target inspection personnel, and obtaining the inspection situation of the target inspection personnel according to the inspection position information, to obtain the inspection result of the inspection task, specifically includes: Obtaining the order-receiving location of the target inspection personnel and the inspection target location in the inspection work order, and setting inspection verification information according to the order-receiving location and the inspection target location, wherein the inspection verification information includes the inspection planning route, inspection verification points and inspection buffer zone; When the target inspection personnel executes the inspection work order according to the inspection planning route, the real-time inspection position and inspection trajectory of the target inspection personnel are obtained based on Beidou positioning; According to the real-time inspection position and the inspection track, it is determined whether the target inspection personnel has entered the inspection buffer and passed the inspection verification point. If so, the inspection situation uploaded by the target inspection personnel is obtained to obtain the inspection result of the inspection task.

7. The intelligent inspection method for gas pipeline network based on Beidou positioning according to claim 1 is characterized in that: The step of obtaining the inspection position information of the target inspection personnel, and obtaining the inspection situation of the target inspection personnel according to the inspection position information, and obtaining the inspection result of the inspection task, further includes: Determine inspection hidden danger information according to the inspection results, wherein the inspection hidden danger information includes hidden danger source, hidden danger location, hidden danger project and hidden danger discovery time; A hidden danger handling work order and a corresponding handling personnel are generated according to the inspection hidden danger information, and the hidden danger handling work order is sent to the handling personnel to handle the inspection hidden danger information.

8. A gas pipeline network intelligent inspection system based on Beidou positioning, characterized in that: The gas pipeline network intelligent inspection system based on Beidou positioning includes: An initial grid division module is used to determine a target grid area and perform initial grid division processing on the target grid area to obtain a plurality of first sub-grids; A grid re-dividing module, used for obtaining the business object in each of the first sub-grids, and performing grid re-dividing processing on each of the first sub-grids according to the business object to obtain a plurality of second sub-grids; An inspection work order generation module, used for obtaining the inspection task corresponding to each second sub-grid, generating an inspection work order according to the inspection task, and sending the inspection work order to a target inspection personnel; The inspection result generating module is used to obtain the inspection position information of the target inspection personnel, and obtain the inspection situation of the target inspection personnel according to the inspection position information, so as to obtain the inspection result of the inspection task.

9. A terminal, characterized in that: The terminal includes: a memory, a processor, and a Beidou positioning-based gas pipeline network intelligent inspection program stored in the memory and runnable on the processor. When the Beidou positioning-based gas pipeline network intelligent inspection program is executed by the processor, the steps of the Beidou positioning-based gas pipeline network intelligent inspection method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a gas pipeline network intelligent inspection program based on Beidou positioning. When the gas pipeline network intelligent inspection program based on Beidou positioning is executed by the processor, the steps of the gas pipeline network intelligent inspection method based on Beidou positioning as described in any one of claims 1-7 are implemented.

Images