Oil field unmanned aerial vehicle patrol system

Abstract

The invention relates to the technical field of oil field patrol, in particular to an oil field unmanned aerial vehicle patrol system. Comprising a patrol system module. The patrol system module comprises a signal receiving module, a signal transmission module, a GPS positioning module, an infrared guiding module, a route planning module, an image recognition and analysis module, a data management module, a communication control module, a patrol management module, a meteorological monitoring module, a fault early warning module, an energy management module and a model construction and simulation module. The unmanned aerial vehicle patrol system for the oil field has the beneficial effects that the patrol efficiency is improved, the optimal route is automatically generated through the route planning module, the unmanned aerial vehicle can quickly and comprehensively cover the patrol area of the oil field, the patrol time is greatly shortened, and the patrol efficiency is improved; and the image identification and analysis module processes and analyzes patrol images by using an advanced technology, various abnormal conditions can be accurately identified, and the patrol accuracy and reliability are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of oilfield inspection, and particularly relates to an oilfield drone inspection system. Background Art

[0002] An oilfield is the sum of oil and gas reservoirs within the same oil and gas production area controlled by a single geological structure factor. An oil and gas field may have one or more oil and gas reservoirs. In the same area, if it is mainly an oil reservoir, it is called an oilfield; if it is mainly a gas reservoir, it is called a gas field. According to the current intelligent production requirements, intelligent products are needed to replace manual labor for inspections in remote areas.

[0003] During the oilfield production process, it is necessary to regularly inspect numerous facilities and areas of the oilfield to ensure production safety and promptly discover potential problems, such as pipeline leaks, equipment failures, illegal intrusions, etc. The traditional oilfield inspection method mainly relies on manual inspections, which has many drawbacks. On the one hand, manual inspections are inefficient and consume a large amount of manpower and time. For a vast oilfield, it is difficult to conduct comprehensive and timely inspections. On the other hand, manual inspections pose certain safety risks. In some complex terrains and dangerous areas, such as remote oil wells and near high-voltage equipment, inspection personnel may face risks such as falling, poisoning, and electric shock.

[0004] With the development of drone technology, using drones for oilfield inspections has gradually become a trend. However, the existing oilfield drone inspection systems have relatively single functions and lack comprehensive and efficient system integration, and cannot well meet the complex and changing inspection requirements of oilfields. Therefore, developing an oilfield drone inspection system with comprehensive functions, high efficiency, and reliability has important practical significance. Summary of the Invention

[0005] The purpose of the present invention is to solve the drawbacks existing in the above-mentioned technology. The technical solution adopted by the present invention is as follows:

[0006] An oilfield drone inspection system includes an inspection system module, and the inspection system module includes a signal reception module, a signal transmission module, a GPS positioning module, an infrared guidance module, a route planning module, an image recognition and analysis module, a data management module, a communication control module, an inspection management module, a meteorological monitoring module, a fault warning module, an energy management module, and a model construction and simulation module;

[0007] The signal receiving module is connected to the inspection system module, the signal transmission module is connected to the inspection system module, the GPS positioning module is connected to the inspection system module, the infrared guidance module is connected to the inspection system module, the flight path planning module is connected to the inspection system module, the image recognition and analysis module is connected to the inspection system module, the data management module is connected to the inspection system module, the communication control module is connected to the inspection system module, the inspection management module is connected to the inspection system module, the meteorological monitoring module is connected to the inspection system module, the fault warning module is connected to the inspection system module, the energy management module is connected to the inspection system module, and the model building and simulation module is connected to the inspection system module.

[0008] Preferably, the signal receiving module receives various signals sent by the drone, including flight status signals, image signals, and sensor data signals.

[0009] Preferably, the signal transmission module transmits the signals received by the signal receiving module to the ground control center or other relevant devices. It uses high-speed and stable 5G wireless transmission technology, combined with a satellite communication backup solution, to ensure that signals can be transmitted stably and quickly in different geographical environments.

[0010] Preferably, the GPS positioning module communicates with the global positioning system to accurately determine the position information of the drone. During the flight of the drone, it provides accurate latitude, longitude, and altitude data in real time, and the positioning accuracy can reach the centimeter level.

[0011] Preferably, the infrared guidance module uses infrared technology to provide guidance for the drone in low light or adverse weather conditions. By emitting and receiving infrared signals, it can identify specific targets and landmarks within the oilfield to help the drone fly and position accurately.

[0012] Preferably, the flight path planning module automatically plans the flight path of the drone according to the geographical information of the oilfield, inspection targets, and task requirements. This module comprehensively considers various factors such as the terrain and landform of the oilfield, the distribution of obstacles, key inspection areas, and meteorological conditions, and uses intelligent algorithms to generate the optimal inspection flight path to ensure that the drone can cover the inspection area efficiently and comprehensively.

[0013] Preferably, the image recognition and analysis module processes and analyzes the images and videos captured by the drone. Using advanced image processing technologies such as deep learning algorithms and convolutional neural networks, it can quickly and accurately identify abnormal situations such as the appearance status of oilfield facilities, the integrity of pipelines, and the presence of leaks.

[0014] Preferably, the data management module is responsible for storing, managing, and querying various data generated during the inspection process, including UAV flight data, image data, analysis result data, etc. It adopts distributed database technology, has strong storage capabilities and high concurrent processing capabilities, and can meet the storage and management requirements of large-scale data.

[0015] Preferably, the communication control module realizes two-way communication and control between the UAV and the ground control center. Operators can send various instructions to the UAV through this module, such as taking off, landing, changing the flight route, adjusting flight parameters, etc. This module can also monitor the communication status of the UAV in real time.

[0016] Preferably, the model construction and simulation module constructs a three-dimensional digital model of the oilfield based on the geographical information, equipment information, historical inspection data, etc. of the oilfield. Through the simulation analysis of this model, it is possible to predict potential problems and faults that may occur in oilfield facilities, providing a scientific basis for the planning of inspection tasks and resource allocation.

[0017] The beneficial effects of the present invention are as follows:

[0018] A UAV inspection system for oilfields according to the present invention

[0019] Improve inspection efficiency: By automatically generating the optimal flight route through the route planning module, the UAV can quickly and comprehensively cover the oilfield inspection area, greatly shortening the inspection time and improving the inspection efficiency.

[0020] Enhance inspection accuracy: The image recognition and analysis module uses advanced technology to process and analyze inspection images, and can accurately identify various abnormal situations, improving the accuracy and reliability of inspections.

[0021] Reduce safety risks: Reduce the operation of manual inspections in dangerous areas, reduce the safety risks of inspection personnel, and ensure the safety of personnel's lives.

[0022] Convenient data management: The data management module effectively stores and manages inspection data, facilitating users to query and call, providing strong support for the production management and decision-making of the oilfield.

[0023] High system integration: Each module cooperates and coordinates with each other to form a complete inspection system, realizing comprehensive and efficient management of oilfield inspections. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic structural diagram of the inspection system of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0025] The following will further illustrate the specific implementation manners of the present invention in conjunction with the accompanying drawings. The same components are denoted by the same reference numerals.

[0026] It should be noted that the terms "front", "rear", "left", "right", "upper" and "lower" used in the following description refer to the directions in the accompanying drawings, and the terms "inner" and "outer" respectively refer to the directions towards or away from the geometric center of a specific component.

[0027] In order to make the content of the present invention more clearly understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0028] To solve the technical problems in the background art, the following is an oilfield UAV inspection system:

[0029] Combined with Figure 1 As shown, it includes an inspection system module, and the inspection system module includes a signal receiving module, a signal transmission module, a GPS positioning module, an infrared guidance module, a flight path planning module, an image recognition and analysis module, a data management module, a communication control module, an inspection management module, a meteorological monitoring module, a fault warning module, an energy management module, and a model construction and simulation module;

[0030] The signal receiving module is connected to the inspection system module, the signal transmission module is connected to the inspection system module, the GPS positioning module is connected to the inspection system module, the infrared guidance module is connected to the inspection system module, the flight path planning module is connected to the inspection system module, the image recognition and analysis module is connected to the inspection system module, the data management module is connected to the inspection system module, the communication control module is connected to the inspection system module, the inspection management module is connected to the inspection system module, the meteorological monitoring module is connected to the inspection system module, the fault warning module is connected to the inspection system module, the energy management module is connected to the inspection system module, and the model construction and simulation module is connected to the inspection system module;

[0031] The signal receiving module: is used to receive various signals sent by the UAV, including flight status signals, image signals, sensor data signals, etc. This module is equipped with a high-sensitivity signal receiver, which can accurately obtain the information fed back by the UAV in real time under complex electromagnetic environments. It adopts adaptive filtering technology to effectively filter out external interference signals and provide a pure and reliable data basis for subsequent processing and analysis;

[0032] Signal transmission module: responsible for transmitting the signal received by the signal receiving module to the ground control center or other related equipment. It adopts high-speed and stable 5G wireless transmission technology and combines satellite communication backup solutions to ensure that the signal can be transmitted stably and quickly in different geographical environments. To ensure the real-time and integrity of the data, the module adopts data packetization and retransmission mechanisms. When data loss or transmission errors occur, the data can be reissued in time.

[0033] GPS positioning module: By communicating with the global positioning system, the location information of the drone is accurately determined. During the flight of the drone, accurate latitude, longitude and altitude data are provided in real time. The positioning accuracy can reach the centimeter level. The module can perform differential positioning with surrounding positioning base stations to further improve the accuracy of positioning;

[0034] Infrared guidance module: In low light or bad weather conditions, infrared technology is used to provide guidance for drones. By transmitting and receiving infrared signals, specific targets and landmarks in the oil field are identified to help drones fly and locate accurately. This module uses advanced infrared thermal imaging technology to clearly detect the infrared radiation characteristics of target objects. It can not only assist the image recognition and analysis module in judging abnormal situations, but also plan safe flight paths for drones at night or in dense fog.

[0035] Route planning module: Automatically plan the flight route of the drone based on the geographical information, inspection objectives and mission requirements of the oil field. This module comprehensively considers the topography of the oil field, obstacle distribution, key inspection areas, meteorological conditions and other factors, and uses intelligent algorithms to generate the optimal inspection route to ensure that the drone can efficiently and comprehensively cover the inspection area;

[0036] Image recognition and analysis module: Processes and analyzes images and videos taken by drones. Using advanced image processing technologies such as deep learning algorithms and convolutional neural networks, it can quickly and accurately identify the appearance of oilfield facilities, the integrity of pipelines, and whether there are leaks and other abnormalities. The module can also classify and count targets in images, such as identifying the number of oil wells and distinguishing different types of equipment.

[0037] Data management module: responsible for storing, managing and querying various data generated during the inspection process, including drone flight data, image data, analysis result data, etc. It adopts distributed database technology, has strong storage capacity and high concurrent processing capabilities, can cope with the storage and management needs of large-scale data, and classifies and stores and indexes data, so that users can quickly retrieve and call the required data;

[0038] Communication Control Module: It realizes two-way communication and control between the UAV and the ground control center. Operators can send various instructions to the UAV through this module, such as taking off, landing, changing the flight route, adjusting flight parameters, etc. At the same time, this module can also monitor the communication status of the UAV in real time to ensure stable and unobstructed communication. It adopts a redundant communication link design. When one communication link fails, it can automatically switch to the standby link to ensure uninterrupted communication. In addition, it has communication encryption and identity authentication functions to prevent illegal intrusion and command tampering;

[0039] Inspection Management Module: It overall manages the entire inspection task, including task creation, assignment, monitoring, and evaluation. Operators can set the basic information of the inspection task in this module, such as inspection area, inspection time, inspection frequency, etc., and assign the task to the corresponding UAV. During the inspection process, it monitors the execution of the task in real time, discovers and solves problems in a timely manner. After the inspection task is completed, it evaluates the execution effect of the task, such as the coverage rate of the inspection area, the discovery rate of abnormal situations, etc. According to the evaluation results, it provides a reference for subsequent inspection work. This module also has a task scheduling function, which can reasonably allocate inspection tasks according to the status of the UAV and the task priority;

[0040] Meteorological Monitoring Module: It monitors the meteorological conditions in the oilfield area in real time, including meteorological parameters such as wind speed, wind direction, temperature, humidity, air pressure, precipitation, etc. By arranging meteorological sensors at different positions in the oilfield and combining meteorological satellite data and meteorological forecast information, it provides accurate meteorological information for the flight of the UAV. When the meteorological conditions are not conducive to the flight of the UAV, such as too high wind speed, heavy rain, etc., it issues a warning signal in a timely manner and recommends that the operator adjust the inspection plan or suspend the flight task. At the same time, this module can also combine meteorological data with the route planning module to optimize the flight route of the UAV and avoid bad meteorological areas;

[0041] Fault Warning Module: It monitors each system and component of the UAV in real time, including the power system, communication system, sensor system, etc. By analyzing and comparing the operating parameters of the equipment, it discovers potential fault hazards in advance. When it monitors that a certain parameter exceeds the normal range, the system automatically issues a warning signal and provides possible reasons and solutions for the fault. This module also has a fault diagnosis function, which can accurately judge the type and location of the fault according to the fault characteristics and provide detailed maintenance guidance for maintenance personnel;

[0042] Energy Management Module: It monitors and manages the energy status of the drone in real time. By monitoring parameters such as battery power, voltage, and current, it accurately estimates the remaining flight time of the drone. According to the requirements of the inspection task and the energy status of the drone, it reasonably plans the flight route and flight speed to ensure that the drone can complete the inspection task with sufficient energy. When the battery power of the drone is lower than the set threshold, it automatically reminds the operator to arrange for the drone to return for charging or replace the battery;

[0043] Model Construction and Simulation Module: Based on the geographical information, equipment information, historical inspection data, etc. of the oilfield, it constructs a three-dimensional digital model of the oilfield. Through the simulation and analysis of this model, it can predict possible problems and faults of the oilfield facilities, providing a scientific basis for the planning of inspection tasks and resource allocation.

[0044] Working Principle and Usage Process of the Present Invention:

[0045] In the usage state: The signal receiving module, signal transmission module, GPS positioning module, infrared guidance module, route planning module, image recognition and analysis module, data management module, communication control module, inspection management module, meteorological monitoring module, fault warning module, energy management module, and model construction and simulation module are integrated into the servers and related devices of the ground control center. The operator creates an inspection task through the inspection management module, sets parameters such as the inspection area, inspection time, and inspection frequency. The route planning module automatically generates the flight route of the drone according to the set parameters, the geographical information of the oilfield, and the meteorological data provided by the meteorological monitoring module. The communication control module sends a takeoff command to the drone, and the drone starts flying according to the planned route. During the flight, the GPS positioning module provides the position information of the drone in real time. The signal receiving module receives the flight status signal, image signal, sensor data signal, meteorological data signal, etc. sent by the drone. The signal transmission module timely transmits the received signals to the ground control center. The image recognition and analysis module processes and analyzes the images and videos taken by the drone, and uses image processing algorithms and machine learning models to identify abnormal situations of the oilfield facilities, such as pipeline leaks and equipment damage. The data management module stores various data generated during the inspection process, including flight data, image data, analysis result data, meteorological data, etc. in the database. The inspection management module monitors the execution status of the inspection task in real time, including the flight status of the drone, task progress, meteorological conditions, etc. After the inspection task is completed, it evaluates the execution effect of the task, such as the coverage rate of the inspection area, the discovery rate of abnormal situations, and the energy consumption situation, etc. According to the evaluation results, it provides improvement suggestions for subsequent inspection work.

[0046] As described above, it is only the preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and all should be covered within the protection scope of the present invention.

[0047] 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 actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0048] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structural transformation made under the inventive concept of the present invention by using the content of the specification and drawings of the present invention, or directly / indirectly applied in other related technical fields, is included within the patent protection scope of the present invention.

[0049] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An oilfield UAV inspection system, characterized in that, It includes an inspection system module, and the inspection system module includes a signal receiving module, a signal transmission module, a GPS positioning module, an infrared guidance module, a flight path planning module, an image recognition and analysis module, a data management module, a communication control module, an inspection management module, a meteorological monitoring module, a fault warning module, an energy management module, and a model construction and simulation module; The signal receiving module is connected to the inspection system module, the signal transmission module is connected to the inspection system module, the GPS positioning module is connected to the inspection system module, the infrared guidance module is connected to the inspection system module, the flight path planning module is connected to the inspection system module, the image recognition and analysis module is connected to the inspection system module, the data management module is connected to the inspection system module, the communication control module is connected to the inspection system module, the inspection management module is connected to the inspection system module, the meteorological monitoring module is connected to the inspection system module, the fault warning module is connected to the inspection system module, the energy management module is connected to the inspection system module, and the model construction and simulation module is connected to the inspection system module.

2. The oilfield UAV inspection system according to claim 1, wherein, The signal receiving module receives various signals sent by the unmanned aerial vehicle, including flight status signals, image signals, and sensor data signals.

3. The oilfield UAV inspection system according to claim 1, characterized in that, The signal transmission module transmits the signals received by the signal receiving module to the ground control center or other relevant devices. It uses high-speed and stable 5G wireless transmission technology and combines a satellite communication backup solution to ensure that signals can be transmitted stably and quickly in different geographical environments.

4. The oilfield UAV inspection system according to claim 1, wherein The GPS positioning module communicates with the global positioning system to accurately determine the position information of the unmanned aerial vehicle. During the flight of the unmanned aerial vehicle, it provides accurate longitude, latitude, and altitude data in real time, and the positioning accuracy can reach the centimeter level.

5. The oilfield UAV inspection system according to claim 1, wherein The infrared guidance module uses infrared technology to provide guidance for the unmanned aerial vehicle in case of insufficient light or bad weather conditions. By emitting and receiving infrared signals, it identifies specific targets and landmarks in the oilfield to help the unmanned aerial vehicle fly and position accurately.

6. The oilfield UAV inspection system according to claim 1, wherein The flight path planning module automatically plans the flight path of the unmanned aerial vehicle according to the geographical information of the oilfield, inspection targets, and task requirements. This module comprehensively considers various factors such as the terrain and landform of the oilfield, the distribution of obstacles, key inspection areas, and meteorological conditions, and uses intelligent algorithms to generate the optimal inspection flight path to ensure that the unmanned aerial vehicle can cover the inspection area efficiently and comprehensively.

7. The oilfield UAV inspection system according to claim 1, characterized in that, The image recognition and analysis module processes and analyzes the images and videos taken by the unmanned aerial vehicle. Using advanced image processing technologies such as deep learning algorithms and convolutional neural networks, it can quickly and accurately identify the appearance status of oilfield facilities, the integrity of pipelines, and abnormal situations such as leaks.

8. The oilfield UAV inspection system according to claim 1, wherein The data management module is responsible for storing, managing, and querying various data generated during the inspection process, including unmanned aerial vehicle flight data, image data, analysis result data, etc. It uses distributed database technology, has strong storage capabilities and high-concurrency processing capabilities, and can meet the storage and management requirements of large-scale data.

9. The oilfield UAV inspection system according to claim 1, characterized in that, The communication control module realizes two-way communication and control between the UAV and the ground control center. Operators can send various instructions to the UAV through this module, such as taking off, landing, changing the flight path, adjusting flight parameters, etc. This module can also monitor the communication status of the UAV in real time.

10. The oilfield UAV inspection system according to claim 1, characterized in that, The model construction and simulation module constructs a three-dimensional digital model of the oilfield based on the geographical information, equipment information, historical inspection data, etc. of the oilfield. Through the simulation and analysis of this model, potential problems and faults of oilfield facilities can be predicted, providing a scientific basis for the planning of inspection tasks and resource allocation.

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