Unmanned aerial vehicle intelligent inspection system, inspection method, device and equipment based on oil and gas field station

Abstract

The invention relates to the technical field of unmanned aerial vehicle inspection, in particular to an inspection method, device and equipment of an unmanned aerial vehicle intelligent inspection system based on an oil and gas station. According to the system, a laser point cloud technology is utilized, an earth coordinate system is established in an oil and gas field station, and model construction is performed on a target area. An inspection plan is made through a plurality of preset inspection targets, an unmanned aerial vehicle inspection route is made according to the plan, the targets are inspected, and inspection data are returned in real time. The system further comprises inspection devices such as a target detection module, an image acquisition module and a target real-time state analysis module so as to provide function support for inspection. Through background discriminant analysis of the intelligent inspection system, storage, image identification, state analysis and abnormity alarm of inspection data can be realized. According to the system, corresponding computer program instructions can be executed on electronic equipment on an earth surface site or an unmanned aerial vehicle, and execution of the inspection method is realized through a storage medium. The system improves the inspection efficiency and reduces the inspection risk.

Description

Technical Field

[0001] The present invention relates to the field of drone inspection technology, and in particular to an inspection method, device and equipment for an intelligent drone inspection system based on oil and gas stations. Background Art

[0002] Traditional oil and gas site inspection methods typically rely on manual labor, which presents numerous limitations and challenges. Manual inspections require significant human resources and time, and can involve high-risk environments and hard-to-reach areas. Furthermore, due to subjective factors, manual inspections can be difficult to ensure accurate and consistent results. Therefore, a more efficient, safe, and precise inspection method is needed to improve the inspection process.

[0003] With the rapid development of drone technology, drones have become a potential inspection tool. Their flexibility, maneuverability, and aerial photography capabilities allow them to easily access confined areas and high-risk environments, reducing the risk of personnel entering hazardous areas. However, drone inspections still face challenges, such as route planning, target identification and analysis, and real-time processing of inspection data.

[0004] Furthermore, oil and gas station inspections require modeling of target areas, development of inspection plans, and storage and analysis of inspection data. Traditional inspection methods cannot meet these requirements.

[0005] Existing Chinese patent CN116858192B discloses a station inspection method based on drone matrix shooting, the method steps are: obtaining the target area to be inspected and the location information; calculating the shooting position of the drone through the location information of the target area; calculating the drone route based on the shooting waypoint position of the drone, and calculating the camera parameters of the drone shooting; the drone shoots the target area according to the calculated route, obtains the target area atlas after shooting, and completes the drone inspection; the defect of the current technology is that the main key step of the technology belongs to the third step, that is, calculating the drone route and shooting action parameters, that is, generating the drone shooting route. However, for drone inspection, the final shooting atlas only collects images of the target area divided into blocks, and does not solve the key target recognition problem, that is, it does not distinguish and identify the inspection focus targets in the target area and return the corresponding data results. Manual review of the atlas results is still required to supplement the content.

[0006] To this end, there is an urgent need for a real-time intelligent inspection system that can complete the tasks from inspection route planning, fully automatic real-time inspection flight, fully automatic real-time target detection and identification, real-time automatic output and storage and analysis of inspection results, to realize a fully automatic real-time drone inspection system and its inspection method. Summary of the Invention

[0007] In light of this, the present invention provides an inspection method, device, and equipment for an intelligent drone inspection system for oil and gas stations. This system significantly improves inspection efficiency, reduces inspection risks, enhances inspection accuracy, and offers the flexibility to customize inspection plans. Through the intelligent inspection system's backend analysis and processing, it enables real-time transmission, storage, image recognition, status analysis, and abnormality alarms of inspection data, further enhancing the system's reliability and intelligence.

[0008] The technical solution adopted in the present invention is:

[0009] In a first aspect, the present invention provides an intelligent inspection system and inspection method for an unmanned aerial vehicle (UAV) based on an oil and gas station, characterized in that the method comprises:

[0010] S1: Establish the earth coordinate system based on the preset points;

[0011] S2: Using laser point cloud technology, a target area model is established for the target area;

[0012] S3: Formulate an inspection plan for several preset inspection targets in the target area;

[0013] S4: Developing a drone inspection route based on the inspection plan;

[0014] S5: According to the inspection plan, the drone is used to inspect several preset inspection targets and transmit the inspection data back in real time;

[0015] S6: Conduct background discriminant analysis based on the inspection data;

[0016] S7: The inspection task is completed and the inspection data is stored.

[0017] Preferably, the S3 includes:

[0018] S31: Locking several inspection targets in the target area;

[0019] S32: Select one or more inspection targets as inspection objects;

[0020] S33: Customize the inspection plan for the inspection object;

[0021] The customized items of the inspection plan include inspection time, inspection times and parameter information required for the inspection.

[0022] Preferably, the S4 further includes:

[0023] S41: Determine the location of the inspection object;

[0024] S42: Determine the drone's location;

[0025] S43: Determine the relative position of the inspection object and the drone;

[0026] S44: According to the relative position of the inspection object and the drone, the drone inspection route of the inspection plan is calculated through an automatic trajectory planning algorithm.

[0027] Preferably, the S5 includes:

[0028] S51: The drone inspects the inspection object according to the inspection time, inspection number and corresponding drone inspection route;

[0029] S52: The drone moves to the area where the inspection object is located to take photos;

[0030] S53: The images of the area where the inspection object is located and the onboard gas equipment detection data are transmitted back in real time.

[0031] Preferably, the S6 further includes:

[0032] S61: Receive inspection data sent back by the drone through the intelligent inspection system;

[0033] S62: Perform image recognition through the intelligent inspection system and output the result data of the current inspection target

[0034] S63: Compare the real-time output of the current inspection target result data with the normal operating standard range

[0035] S64: Comparing the real-time output result data of the current inspection target with the electrical signal data of the automatic control system;

[0036] S65: If any of the comparison results of S63 and S64 are abnormal, an alarm message is output through the intelligent inspection system;

[0037] S66: Review abnormal situations through drones.

[0038] In a second aspect, the present invention provides an inspection device for an intelligent inspection system of an unmanned aerial vehicle (UAV) at an oil and gas station, characterized in that the device comprises:

[0039] The target detection module is used to detect whether the drone is shooting in the target area, whether the target is the preset target, and shoot the preset target;

[0040] An image acquisition module is used to obtain real-time video data of preset targets in oil and gas stations taken by drones;

[0041] The target real-time status analysis module is used to analyze the preset target real-time status according to the preset target real-time status and determine the preset target status information.

[0042] In a third aspect, an embodiment of the present invention further provides an electronic device, characterized in that it comprises: at least one processor, at least one memory, and computer program instructions stored in the memory, and when the computer program instructions are executed by the processor, the method of the first aspect in the above embodiment is implemented.

[0043] In a fourth aspect, an embodiment of the present invention further provides a storage medium having computer program instructions stored thereon, characterized in that when the computer program instructions are executed by a processor, the method of the first aspect in the above-mentioned embodiment is implemented.

[0044] In summary, the beneficial effects of the present invention are as follows:

[0045] The present invention provides an inspection method, device, and equipment for an intelligent inspection system for oil and gas stations using drones. The method comprises: establishing an earth coordinate system based on preset points; establishing a target area model for a target area using laser point cloud technology; formulating an inspection plan for a plurality of preset inspection targets in the target area; formulating a drone inspection route based on the inspection plan; inspecting the plurality of preset inspection targets using drones according to the inspection plan and transmitting inspection data in real time; conducting background discrimination analysis based on the inspection data; completing the inspection task and storing the inspection data.

[0046] First, the system uses automated drone inspections to quickly and accurately inspect and patrol target areas within oil and gas stations, eliminating the time and risk of traditional manual inspections. This will significantly improve inspection efficiency, save human resources, and reduce inspection cycles.

[0047] Then, fully automated inspections by drones can prevent personnel from entering high-risk, hard-to-reach areas. Fully automated inspections can completely replace manual inspection work, saving labor costs and avoiding potential personnel risks in high-risk locations, such as high altitudes, confined areas, or toxic gas environments. This will reduce the risk of personal injury and protect personnel from potential safety hazards.

[0048] Laser point cloud technology can also be used to build a target area model. Combined with the image acquisition module and the target real-time status analysis module, the system can monitor and analyze the target status information in real time. This will help to promptly discover and identify potential problems and provide accurate inspection results data.

[0049] Secondly, the real-time inspection data transmitted back by drones, with low latency and real-time inspection data transmission, can truly reflect the actual status of the current inspection target, ensuring the same timeliness as traditional manual inspection operations. Combined with background discriminant analysis, the system can instantly analyze and process inspection data and make further decisions and controls based on the results. This will help to quickly respond to problems and take necessary measures for repair and optimization.

[0050] Finally, the inspection plan in the system can be customized according to on-site needs, including inspection time, number of inspections, and required parameter information; this will fully take into account the actual situation and needs, improve the flexibility and adaptability of inspections; the high accuracy of inspection results avoids human or accidental deviations in manual inspection work, and ensures the stability of inspection quality.

[0051] In summary, this intelligent drone inspection system for oil and gas stations offers a range of benefits, including improved efficiency, reduced risk, enhanced accuracy, real-time data processing and analysis, and customized inspection plans. These benefits will provide a more efficient, safer, and more reliable solution for oil and gas station inspections. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work, and these are all within the scope of protection of the present invention.

[0053] Figure 1 This is a schematic diagram of the overall working process of the inspection method of the UAV intelligent inspection system based on the oil and gas station in Examples 1 and 2 of the present invention;

[0054] Figure 2 A schematic diagram of a process for formulating an inspection plan for a plurality of preset inspection targets in a target area in embodiments 1 and 2 of the present invention;

[0055] Figure 3 A schematic diagram of the process of formulating a drone inspection route in Examples 1 and 2 of the present invention;

[0056] Figure 4 This is a flow chart of inspecting a plurality of preset inspection targets by using a drone and transmitting inspection data in real time in Examples 1 and 2 of the present invention;

[0057] Figure 5 Schematic diagram of the process of performing background discriminant analysis based on the inspection data in embodiments 1 and 2 of the present invention;

[0058] Figure 6Schematic diagram of a three-dimensional model of an oil and gas station in Examples 1 and 2 of the present invention;

[0059] Figure 7 Schematic diagram of the drone route planning model in Examples 1 and 2 of the present invention;

[0060] Figure 8 This is a structural block diagram of an intelligent inspection system for oil and gas stations using a drone in Example 2 of the present invention;

[0061] Figure 9 This is a schematic diagram of the structure of an electronic device in Example 3 of the present invention. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. In the description of the present invention, it should be understood that the orientation or position relationship indicated by the terms "center", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like is based on the orientation or position relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as limiting the present invention. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further limitations, elements defined by the phrase "comprising..." do not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising the elements. The embodiments of the present invention and the features thereof may be combined with each other if there is no conflict, and all are within the scope of protection of the present invention.

[0063] Example 1

[0064] See Figures 1 to 9 Embodiment 1 of the present invention discloses an intelligent inspection system and inspection method for an unmanned aerial vehicle (UAV) based on an oil and gas station, characterized in that the method comprises:

[0065] S1: Establish the earth coordinate system based on the preset points;

[0066] The Earth-fixed coordinate system, also known as the Earth coordinate system, is a coordinate system fixed on the Earth and rotating with the Earth. If the Earth's tides and plate movements are ignored, the coordinate values ​​of points on the ground are fixed in the Earth-fixed coordinate system. The Earth coordinate system is used as the basis for the intelligent inspection system of drones based on oil and gas stations; it is more convenient to use the Earth-fixed coordinate system to describe the spatial position of the points of each device in the oil and gas station; usually, we regard the location of the oil and gas station as a reduced "Earth", so that the oil and gas station is in this reduced "Earth", and the center of the sphere of this reduced "Earth" is used as the preset base point, that is, the preset point, and the Earth coordinate system applicable to the oil and gas station in the present invention is established based on the preset point; the motion trajectory of the drone described below is located in this Earth coordinate system.

[0067] S2: Using laser point cloud technology, a target area model is established for the target area;

[0068] Through laser point cloud technology, the oil and gas station in the present invention is scanned in all directions, and a three-dimensional model of the oil and gas station is established based on the positional relationship of all oil pipelines and their components in the oil and gas station. For specific graphics, please refer to Figure 2 .

[0069] S3: Formulate an inspection plan for several preset inspection targets in the target area;

[0070] See Figure 2 , the oil and gas station has multiple valves, valve tables and their components, which can be used as inspection targets. For the possible inspection targets in the target area, one or more targets can be arbitrarily selected as inspection targets. The management personnel can customize the inspection plan for the inspection targets and can customize the inspection time, inspection number, inspection angle, inspection height and other parameter information of the target plan; Since the oil and gas station has multiple valves, valve tables and their components with uneven distribution, the visible positions of the multiple valves, valve tables and their components are also different, so the locations that are difficult to shoot can be inspected multiple times and at multiple angles to achieve the accuracy of the inspection information;

[0071] The target area is the area within the oil and gas station.

[0072] S4: Developing a drone inspection route based on the inspection plan;

[0073] For details, see Figure 3 Since oil and gas stations have multiple valves, valve meters and their components, if there is a problem with the drone inspection route, it may cause damage to the drone or even cause more serious accidents; therefore, it is necessary to pre-fabricate the drone inspection route to eliminate potential risks.

[0074] S5: According to the inspection plan, the drone is used to inspect several preset inspection targets and the inspection data is transmitted back in real time;

[0075] The intelligent inspection system receives inspection data sent back by drones and performs real-time AI image algorithm recognition and detection;

[0076] S6: Conduct background discriminant analysis based on the inspection data;

[0077] Conduct background discriminant analysis based on the real-time output of the current inspection target result data;

[0078] S7: Complete the inspection task and store the inspection data;

[0079] The drone completes the inspection and filming task, stores the inspection result data and automatically reports it;

[0080] Preferably, the S3 includes:

[0081] S31: Locking several inspection targets in the target area;

[0082] All possible components of the oil and gas station are considered as potential inspection targets, and the scope within the oil and gas station is locked;

[0083] S32: Select one or more inspection targets as inspection objects;

[0084] Select one or more of the multiple valves, valve meters and their components in the oil and gas station as inspection targets for inspection;

[0085] S33: Customize the inspection plan for the inspection object;

[0086] The customized items of the inspection plan include inspection time, inspection times and parameter information required for the inspection.

[0087] Preferably, the S4 further includes:

[0088] S41: Determine the location of the inspection object;

[0089] Determine the location of one or more predetermined inspection targets;

[0090] S42: Determine the drone's location;

[0091] Determine the position of the drone on the drone platform;

[0092] S43: Determine the relative position of the inspection object and the drone;

[0093] After determining the location of the inspection object and the drone, analyze the obstacles between them;

[0094] S44: Calculate the inspection route of the UAV according to the inspection object and the relative position of the UAV through the automatic trajectory planning algorithm;

[0095] Develop a safe drone inspection route based on the obstacles between the inspection object and the drone;

[0096] Preferably, the S5 includes:

[0097] S51: The drone inspects the inspection object according to the inspection time, inspection number and corresponding drone inspection route;

[0098] S52: The drone moves to the area where the inspection object is located to take photos;

[0099] S53: The images of the area where the inspection object is located and the onboard gas equipment detection data are transmitted back in real time.

[0100] Preferably, the S6 further includes:

[0101] S61: Receive inspection data sent back by the drone through the intelligent inspection system;

[0102] S62: Perform image recognition through the intelligent inspection system and output the result data of the current inspection target

[0103] S63: Compare the real-time output of the current inspection target result data with the normal operating standard range

[0104] S64: Comparing the real-time output result data of the current inspection target with the electrical signal data of the automatic control system;

[0105] S65: If any of the comparison results of S63 and S64 are abnormal, an alarm message is output through the intelligent inspection system;

[0106] S66: Review abnormal situations through drones.

[0107] Example 2

[0108] See Figures 1 to 9 Embodiment 2 of the present invention discloses an intelligent inspection system for UAVs based on oil and gas stations, characterized in that the intelligent inspection system for UAVs includes an inspection system and a UAV hardware platform; the UAVs include a plurality of UAVs, all of which are parked in an orderly manner on a UAV rooftop; the UAVs can be manually controlled by implementing the UAV hardware platform;

[0109] First, a three-dimensional model of the oil and gas station is created. All equipment and components in the oil and gas station are scanned and a three-dimensional model is created. An earth coordinate system is established based on the oil and gas station, so that the movement trajectory of the drone is within this earth coordinate system.

[0110] The inspection target is preset, and the target is a target valve in the oil and gas station. The information required for the inspection is customized, such as preparing to obtain the safety status of the target valve and the parameters shown by the target valve; determining the position of the UAV for inspection and the position of the target valve, avoiding obstacles between the position of the UAV and the position of the target valve according to the automatic trajectory planning algorithm, and planning a safe path according to the position of the obstacle and the relative position of the position of the UAV for inspection and the target valve; the UAV sets off with a high-precision camera and inspects according to the pre-made safe path; and collects the information required for the formulation; the required information collected by the UAV is fed back in real time; the UAV inspection result data is compared with the normal operating standard range in the background of the UAV intelligent inspection system; and the UAV inspection result data is compared with the electrical signal data of the automatic control system; if the result is abnormal, the intelligent inspection system outputs an alarm message and pushes the UAV platform to review the abnormality;

[0111] Based on the drone hardware platform, a real-time intelligent inspection system is used to complete all tasks, from route planning and inspection flight, to fully automated real-time target detection and identification, to the automatic output, storage, and analysis of inspection results, enabling fully automated, real-time drone inspections. Fully automated inspections can completely replace manual inspection work, saving labor costs and mitigating potential personnel risks in high-risk locations. Low-latency, real-time inspection data transmission accurately reflects the current status of inspection targets, ensuring the same timeliness as traditional manual inspections. High inspection results accuracy avoids the human and accidental biases inherent in manual inspections, ensuring consistent inspection quality.

[0112] Example 4

[0113] See See Figures 1 to 9 Embodiment 2 of the present invention further provides a pet monitoring and energy management device based on UWB positioning, the device comprising:

[0114] The target detection module is used to detect whether the drone is shooting in the target area, whether the target is the preset target, and shoot the preset target;

[0115] An image acquisition module is used to obtain real-time video data of preset targets in oil and gas stations taken by drones;

[0116] The target real-time status analysis module is used to analyze the preset target real-time status according to the preset target real-time status and determine the preset target status information.

[0117] Example 3

[0118] See Figures 1 to 9 , specifically combined Figure 1 The inspection method of the UAV intelligent inspection system based on oil and gas stations described in Example 1 of the present invention can be implemented by electronic equipment. Figure 9 A schematic diagram of the hardware structure of an electronic device provided in Example 3 of the present invention is shown.

[0119] An electronic device may include a processor and a memory storing computer program instructions.

[0120] Specifically, the processor may include a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits for implementing the embodiments of the present invention.

[0121] The memory may include a large capacity memory for data or instructions. By way of example and not limitation, the memory may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory may include a removable or non-removable (or fixed) medium. Where appropriate, the memory may be inside or outside the data processing device. In a specific embodiment, the memory is a non-volatile solid-state memory. In a specific embodiment, the memory includes a read-only memory (ROM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically rewritable ROM (EAROM), or a flash memory, or a combination of two or more of these.

[0122] The processor reads and executes computer program instructions stored in the memory to implement any one of the UWB positioning-based pet monitoring and energy management methods in the above embodiments.

[0123] In one example, the electronic device may further include a communication interface and a bus. Figure 9 As shown, the processor, memory, and communication interface are connected via a bus and communicate with each other.

[0124] The communication interface is mainly used to implement communication between the modules, devices, units and / or equipment in the embodiments of the present invention.

[0125] Bus comprises hardware, software or both, couples the parts of described equipment together.For example, and not limitation, bus can comprise accelerated graphics port (AGP) or other graphics bus, enhanced industry standard architecture (EISA) bus, front side bus (FSB), hypertransport (HT) interconnection, industry standard architecture (ISA) bus, infinite bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations.In suitable cases, bus can comprise one or more buses.Although the embodiment of the present invention describes and shows specific bus, the present invention considers any suitable bus or interconnection.

[0126] Example 4

[0127] In addition, in conjunction with the inspection method for the intelligent inspection system for oil and gas stations using a drone in the first embodiment, the fourth embodiment of the present invention may also be implemented by providing a computer-readable storage medium. The computer-readable storage medium stores computer program instructions; when executed by a processor, the computer program instructions implement any of the inspection methods for the intelligent inspection system for oil and gas stations using a drone in the first embodiment.

[0128] In summary, the embodiments of the present invention provide an inspection method, device, and equipment for an intelligent inspection system of an unmanned aerial vehicle (UAV) based on an oil and gas station.

[0129] It should be understood that the present invention is not limited to the specific configurations and processes described above and illustrated in the figures. For the sake of brevity, a detailed description of known methods is omitted. In the above embodiments, several specific steps are described and illustrated as examples. However, the method of the present invention is not limited to the specific steps described and illustrated. Those skilled in the art may make various changes, modifications, and additions, or change the order of the steps after understanding the spirit of the present invention.

[0130] The functional blocks shown in the above-described block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in unit, a function card or the like. When implemented in software, the elements of the present invention are programs or code segments that are used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROMs, flash memories, erasable ROMs (EROMs), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

[0131] It should also be noted that the exemplary embodiments described herein describe methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the steps described above. In other words, the steps may be performed in the order described in the embodiments, or in a different order, or several steps may be performed simultaneously.

[0132] Example 5

[0133] See Figures 1 to 9 The present invention provides an intelligent inspection system, method, device and equipment for oil and gas stations using drones; the method comprises: establishing an earth coordinate system based on preset points; establishing a target area model for a target area using laser point cloud technology; formulating an inspection plan for a plurality of preset inspection targets in the target area; formulating a drone inspection route based on the inspection plan; inspecting a plurality of preset inspection targets using drones according to the inspection plan and transmitting inspection data in real time; conducting background discrimination analysis based on the inspection data; completing the inspection task and storing the inspection data;

[0134] First, the system uses automated drone inspections to quickly and accurately inspect and patrol target areas within oil and gas stations, eliminating the time and risk of traditional manual inspections. This will significantly improve inspection efficiency, save human resources, and reduce inspection cycles.

[0135] Then, fully automated inspections by drones can prevent personnel from entering high-risk, hard-to-reach areas. Fully automated inspections can completely replace manual inspection work, saving labor costs and avoiding potential personnel risks in high-risk locations, such as high altitudes, confined areas, or toxic gas environments. This will reduce the risk of personal injury and protect personnel from potential safety hazards.

[0136] Laser point cloud technology can also be used to build a target area model. Combined with the image acquisition module and the target real-time status analysis module, the system can monitor and analyze the target status information in real time. This will help to promptly discover and identify potential problems and provide accurate inspection results data.

[0137] Secondly, the real-time inspection data transmitted back by drones, with low latency and real-time inspection data transmission, can truly reflect the actual status of the current inspection target, ensuring the same timeliness as traditional manual inspection operations. Combined with background discriminant analysis, the system can instantly analyze and process inspection data and make further decisions and controls based on the results. This will help to quickly respond to problems and take necessary measures for repair and optimization.

[0138] Finally, the inspection plan in the system can be customized according to on-site needs, including inspection time, number of inspections, and required parameter information; this will fully take into account the actual situation and needs, improve the flexibility and adaptability of inspections; the high accuracy of inspection results avoids human or accidental deviations in manual inspection work, and ensures the stability of inspection quality.

[0139] In summary, this intelligent drone inspection system for oil and gas stations offers a range of benefits, including improved efficiency, reduced risk, enhanced accuracy, real-time data processing and analysis, and customized inspection plans. These benefits will provide a more efficient, safer, and more reliable solution for oil and gas station inspections.

[0140] The above description is only a specific embodiment of the present invention. Those skilled in the art will clearly understand that for the convenience and brevity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited to this. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention.

Claims

1. An intelligent inspection system and inspection method for unmanned aerial vehicles based on oil and gas stations, characterized in that: The method comprises: S1: Establish the earth coordinate system based on the preset points; S2: Using laser point cloud technology, a target area model is established for the target area; S3: Formulate an inspection plan for several preset inspection targets in the target area; S4: Developing a drone inspection route based on the inspection plan; S5: According to the inspection plan, the drone is used to inspect several preset inspection targets and transmit the inspection data back in real time; S6: Conduct background discriminant analysis based on the inspection data; S7: The inspection task is completed and the inspection data is stored.

2. The intelligent inspection system and inspection method of UAV based on oil and gas stations according to claim 1 is characterized in that: The S3 includes: S31: Locking several inspection targets in the target area; S32: Select one or more inspection targets as inspection objects; S33: Customize the inspection plan for the inspection object; The customized items of the inspection plan include inspection time, inspection times and parameter information required for the inspection.

3. The intelligent inspection system and inspection method of UAV based on oil and gas stations according to claim 1 is characterized in that: Said S4 further comprises: S41: Determine the location of the inspection object; S42: Determine the drone's location; S43: Determine the relative position of the inspection object and the drone; S44: According to the relative position of the inspection object and the drone, the drone inspection route of the inspection plan is calculated through an automatic trajectory planning algorithm.

4. The intelligent inspection system and inspection method of UAV based on oil and gas stations according to claim 1 is characterized in that: The S5 includes: S51: The drone inspects the inspection object according to the inspection time, inspection number and corresponding drone inspection route; S52: The drone moves to the area where the inspection object is located to take photos; S53: The images of the area where the inspection object is located and the detection data of the onboard gas equipment are transmitted back in real time.

5. The intelligent inspection system and inspection method of UAV based on oil and gas stations according to claim 1 is characterized in that: The S6 further includes: S61: Receive inspection data sent back by the drone through the intelligent inspection system; S62: Perform image recognition through the intelligent inspection system and output the result data of the current inspection target S63: Compare the real-time output of the current inspection target result data with the normal operating standard range S64: Comparing the real-time output result data of the current inspection target with the electrical signal data of the automatic control system; S65: If any of the comparison results of S63 and S64 are abnormal, an alarm message is output through the intelligent inspection system; S66: Review abnormal situations through drones.

6. An inspection device based on an intelligent inspection system of a drone at an oil and gas station, characterized in that: The device comprises: The target detection module is used to detect whether the drone is shooting in the target area, whether the target is the preset target, and shoot the preset target; An image acquisition module is used to obtain real-time video data of preset targets in oil and gas stations taken by drones; The target real-time status analysis module is used to analyze the preset target real-time status according to the preset target real-time status and determine the preset target status information.

7. An electronic device, characterized in that: include: At least one processor, at least one memory, and computer program instructions stored in the memory, which implement the method according to any one of claims 1 to 5 when the computer program instructions are executed by the processor.

8. A storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method according to any one of claims 1 to 5 is implemented.

Images