CN110989678A - A data acquisition system and method for oilfield inspection and inspection based on multi-UAV - Google Patents

Abstract

The invention discloses an oil field inspection fixed point data acquisition method based on multiple unmanned aerial vehicles.A guidance request signal received by an oil field inspection system from a piloting unmanned aerial vehicle is received, and an unmanned aerial vehicle cluster receiving the guidance signal automatically flies according to an oil field inspection point set by an automatic flight guidance signal; the unmanned aerial vehicle crowd according to a coordinate of reselecting a pilot unmanned aerial vehicle and setting next inspection point after arriving an inspection point that the pilot signal set up, and the pilot unmanned aerial vehicle of newly generating sends new pilot signal, separates out partial unmanned aerial vehicle from former unmanned aerial vehicle crowd and goes to new inspection point, and all the other unmanned aerial vehicles carry out data acquisition work in current inspection point, and cloud server receives through wireless network the data that unmanned aerial vehicle gathered are drawn for being applicable to the image of GIS map, the image includes: two-dimensional images and three-dimensional images; and the manager is connected with the cloud server through the mobile terminal, checks the image information of the patrol point and sends a control oil field management and control instruction.

Description

A data acquisition system and method for oilfield inspection and inspection based on multi-UAV

technical field

The invention relates to the field of computer technology, in particular to a system and method for acquiring fixed-point data of oilfield patrol inspection based on multiple unmanned aerial vehicles.

Background technique

Oilfields are an important energy source for a country. Effective control of oilfields can increase oil production. Existing technologies usually control the total oilfield data when controlling oilfields, but cannot effectively single and detail the diverse data of oilfields. control.

So far, oilfield inspection technology has roughly gone through three development stages: manual inspection technology, semi-automatic inspection technology, and UAV inspection technology. The object of manual inspection is oil production workers who have certain skills and knowledge of oil wells. Oil workers rely on foot and carry-on maintenance tools to patrol and check records of all oil wells, water wells, oil pipelines, and metering rooms along the oil production station. The advantages of manual inspection are flexibility and no need to invest other capital costs, but its disadvantages and disadvantages are obvious: first, because the interval between wells is usually several kilometers to tens of kilometers, and the roads in between are mostly rough, so Manual walking inspection is extremely difficult and dangerous. Secondly, due to the cumbersome specific tasks, the well-patrol workers have to work for a long time. Since the 20th century, the semi-automatic inspection mode developed with wireless sensors and computers as the core technology has reduced the influence of human factors, improved oilfield management, and made oilfield inspections more scientific and effective. , but it still requires a lot of human and material resources to achieve. UAV inspection is the use of UAVs equipped with high-definition imaging equipment for oil well inspection, which provides a more convenient, efficient and safe way for oilfield inspection work, and many oilfields at home and abroad have adopted UAV technology. Experimented with oil field inspection and achieved success.

Domestic and foreign research on UAV inspection technology covers many fields such as environmental protection, communication, and electric power. However, there are still few research results on UAV inspection technology in the oil field. Although UAV technology has been successfully tested for oil field inspection, the existing UAV technology for oil field inspection does not have the function of obstacle detection and avoidance, and the control of UAV is complicated and requires professionals to control.

SUMMARY OF THE INVENTION

The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention discloses a method for collecting fixed-point data of oilfield inspection based on multiple UAVs. The oilfield inspection system receives the guidance request signal from the pilot UAV, and the group of UAVs that receive the guidance signal is guided according to the automatic flight. The oilfield inspection point set by the signal performs automatic flight; the drone group re-selects a pilot drone and sets the coordinates of the next inspection point after reaching an inspection point set by the guidance signal, and the newly generated pilot drone Send a new guidance signal, separate some drones from the original drone group to the new inspection point, and the rest of the drones perform data collection at the current inspection point, and the cloud server receives the data collected by the drones through the wireless network. And draw it as an image suitable for GIS map, the image includes: two-dimensional image and three-dimensional image; the manager connects with the cloud server through the mobile terminal, checks the image information of the inspection point and sends the oil field management and control instructions.

Further, the data collection further includes: collecting the topography of the oilfield inspection points through the camera device on the UAV, and at the same time, integrating a gas composition analysis module in the UAV to analyze the composition of the air in the inspection point.

Furthermore, the operation data of the oil field at the inspection point is broadcast by short-wave transmission. After confirming the authority, the UAV obtains the broadcast operation data and transmits it to the cloud server. The administrator can directly feedback the operation through the oil field. The data is compared with the operation data obtained by the drone to determine whether the operation status of the inspection point is normal.

Further, a sample library of oil pollution leakage is established in the cloud server, the images of the established GIS map are analyzed through the SVM classifier, and a sample set is set to train the judgment system on the images of inspection points through machine learning, so as to judge the oil pollution leakage in real time. the precise location and extent of contamination.

Further, the drone group is further equipped with a voice equipment broadcasting device, which is used to drive away illegal activities near the oil field by voice.

The invention further discloses an oilfield inspection fixed-point data acquisition system based on multiple unmanned aerial vehicles, comprising: an oilfield inspection system and a plurality of unmanned aerial vehicles. After the pilot drone receives the guidance request signal, it records the patrol route of the drone and the endurance information fed back by the drone, and the drone group that receives the guidance signal will fly automatically according to the oilfield inspection points set by the automatic flight guidance signal; The UAV group re-selects a pilot UAV and sets the coordinates of the next inspection point after reaching an inspection point set by the guidance signal, and the newly generated pilot UAV sends a new guidance signal, starting from the original unmanned aircraft. The fleet separates some drones to go to the new inspection point, and the rest of the drones perform data collection work at the current inspection point; cloud server, the cloud server receives the data collected by the drone through the wireless network and draws it as suitable for The image of the GIS map, the image includes: a two-dimensional image and a three-dimensional image; the manager connects with the cloud server through the mobile terminal, checks the image information of the inspection point, and sends the oilfield management and control instructions.

Further, the data collection further includes: collecting the topography of the oilfield inspection points through the camera device on the UAV, and at the same time, integrating a gas composition analysis module in the UAV to analyze the composition of the air in the inspection point.

Furthermore, the operation data of the oil field at the inspection point is broadcast by short-wave transmission. After confirming the authority, the UAV obtains the broadcast operation data and transmits it to the cloud server. The administrator can directly feedback the operation through the oil field. The data is compared with the operation data obtained by the drone to determine whether the operation status of the inspection point is normal.

Further, a sample library of oil pollution leakage is established in the cloud server, the images of the established GIS map are analyzed through the SVM classifier, and a sample set is set to train the judgment system on the images of inspection points through machine learning, so as to judge the oil pollution leakage in real time. the precise location and extent of contamination.

Further, the drone group is further equipped with a voice equipment broadcasting device, which is used to drive away illegal activities near the oil field by voice.

Description of drawings

The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. In the figures, like reference numerals designate corresponding parts throughout the different views.

FIG. 1 is a structural diagram of a multi-UAV oilfield inspection fixed-point data acquisition system of the present invention.

Detailed ways

Example 1

As shown in Figure 1, a multi-UAV-based oilfield inspection fixed-point data acquisition method, the oilfield inspection system receives the guidance request signal from the pilot UAV, and the UAV group that receives the guidance signal will automatically fly the guidance signal according to the guidance signal. The set oilfield inspection points are automatically flown; the drone group re-selects a pilot drone and sets the coordinates of the next inspection point after reaching a patrol point set by the guidance signal, and the newly generated pilot drone sends With the new guidance signal, some drones are separated from the original drone group to go to the new inspection point, and the rest of the drones perform data collection at the current inspection point. The cloud server receives the data collected by the drones through the wireless network and It is drawn as an image suitable for a GIS map, and the image includes: a two-dimensional image and a three-dimensional image; the manager connects with the cloud server through the mobile terminal, checks the image information of the inspection point and sends the oilfield management and control instructions.

Further, the data collection further includes: collecting the topography of the oilfield inspection points through the camera device on the UAV, and at the same time, integrating a gas composition analysis module in the UAV to analyze the composition of the air in the inspection point.

Furthermore, the operation data of the oil field at the inspection point is broadcast by short-wave transmission. After confirming the authority, the UAV obtains the broadcast operation data and transmits it to the cloud server. The administrator can directly feedback the operation through the oil field. The data is compared with the operation data obtained by the drone to determine whether the operation status of the inspection point is normal.

Further, a sample library of oil pollution leakage is established in the cloud server, the images of the established GIS map are analyzed through the SVM classifier, and a sample set is set to train the judgment system on the images of inspection points through machine learning, so as to judge the oil pollution leakage in real time. the precise location and extent of contamination.

Further, the drone group is further equipped with a voice equipment broadcasting device, which is used to drive away illegal activities near the oil field by voice.

Embodiment 2

The invention further discloses an oilfield inspection fixed-point data acquisition system based on multiple unmanned aerial vehicles, comprising: an oilfield inspection system and a plurality of unmanned aerial vehicles. After the pilot drone receives the guidance request signal, it records the patrol route of the drone and the endurance information fed back by the drone, and the drone group that receives the guidance signal will fly automatically according to the oilfield inspection points set by the automatic flight guidance signal; The UAV group re-selects a pilot UAV and sets the coordinates of the next inspection point after reaching an inspection point set by the guidance signal, and the newly generated pilot UAV sends a new guidance signal, starting from the original unmanned aircraft. The fleet separates some drones to go to the new inspection point, and the rest of the drones perform data collection work at the current inspection point; cloud server, the cloud server receives the data collected by the drone through the wireless network and draws it as suitable for The image of the GIS map, the image includes: a two-dimensional image and a three-dimensional image; the manager connects with the cloud server through the mobile terminal, checks the image information of the inspection point, and sends the oilfield management and control instructions.

Further, the data collection further includes: collecting the topography of the oilfield inspection points through the camera device on the UAV, and at the same time, integrating a gas composition analysis module in the UAV to analyze the composition of the air in the inspection point.

Furthermore, the operation data of the oil field at the inspection point is broadcast by short-wave transmission. After confirming the authority, the UAV obtains the broadcast operation data and transmits it to the cloud server. The administrator can directly feedback the operation through the oil field. The data is compared with the operation data obtained by the drone to determine whether the operation status of the inspection point is normal.

Further, a sample library of oil pollution leakage is established in the cloud server, the images of the established GIS map are analyzed through the SVM classifier, and a sample set is set to train the judgment system on the images of inspection points through machine learning, so as to judge the oil pollution leakage in real time. the precise location and extent of contamination.

Further, the drone group is further equipped with a voice equipment broadcasting device, which is used to drive away illegal activities near the oil field by voice.

It should also be noted that the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device comprising a series of elements includes not only those elements, but also Other elements not expressly listed, or which are inherent to such a process, method, article of manufacture, or apparatus are also included. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article of manufacture, or device that includes the element.

It will be appreciated by those skilled in the art that the embodiments of the present application may be provided as a method, a system or a computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

While the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications can be made without departing from the scope of the invention. It is therefore intended that the foregoing detailed description be regarded as illustrative and not restrictive, and that it is to be understood that the following claims, including all equivalents, are intended to define the spirit and scope of the present invention. The above embodiments should be understood as only for illustrating the present invention and not for limiting the protection scope of the present invention. After reading the contents of the description of the present invention, the skilled person can make various changes or modifications to the present invention, and these equivalent changes and modifications also fall within the scope defined by the claims of the present invention.

Claims (10)

1. A method for collecting oil field inspection fixed point data based on multiple unmanned aerial vehicles is characterized in that an oil field inspection system receives a guide request signal from a pilot unmanned aerial vehicle, and an unmanned aerial vehicle cluster receiving the guide signal automatically flies according to an oil field inspection point set by an automatic flight guide signal; the unmanned aerial vehicle crowd according to a coordinate of reselecting a pilot unmanned aerial vehicle and setting next inspection point after arriving an inspection point that the pilot signal set up, and the pilot unmanned aerial vehicle of newly generating sends new pilot signal, separates out partial unmanned aerial vehicle from former unmanned aerial vehicle crowd and goes to new inspection point, and all the other unmanned aerial vehicles carry out data acquisition work in current inspection point, and cloud server receives through wireless network the data that unmanned aerial vehicle gathered are drawn for being applicable to the image of GIS map, the image includes: two-dimensional images and three-dimensional images; and the manager is connected with the cloud server through the mobile terminal, checks the image information of the patrol point and sends a control oil field management and control instruction.

2. The method of claim 1, wherein the data collection further comprises: gather the oil field through the camera device on the unmanned aerial vehicle and patrol the geomorphic conditions of some, simultaneously, the gaseous composition analysis module of unmanned aerial vehicle built-in integration to the analysis is patrolled the composition in the air of some.

3. The method for collecting the oilfield patrol inspection fixed-point data based on the multiple unmanned aerial vehicles according to claim 2, wherein the operation data of the oilfield at the patrol inspection point are broadcasted in a short wave sending mode, the unmanned aerial vehicles acquire the broadcasted operation data after confirming the authority and transmit the broadcasted operation data to the cloud server, and a manager can compare the operation data directly fed back by the oilfield with the operation data acquired by the unmanned aerial vehicles to judge whether the spot operation condition of the patrol inspection point is normal or not.

4. The oil field inspection fixed point data acquisition method based on multiple unmanned aerial vehicles according to claim 3, characterized in that a sample library of oil contamination leakage is established in the cloud server, images of the established GIS map are analyzed through an SVM classifier, a sample set is set, training of inspection point images is carried out on a judgment system through machine learning, and the accurate position and the pollution range of oil contamination leakage are judged in real time.

5. The method for collecting the oilfield patrol inspection fixed-point data based on the multiple unmanned aerial vehicles according to claim 4, wherein a voice device broadcasting device is further mounted on the unmanned aerial vehicle cluster and used for driving away illegal activities nearby the oilfield by voice.

6. The utility model provides an oil field inspection fixed point data collection system based on many unmanned aerial vehicles which characterized in that includes: the system comprises an oil field inspection system and a plurality of unmanned aerial vehicles, wherein the oil field inspection system is a plurality of control tower systems arranged in an oil field, an inspection route of the unmanned aerial vehicles and cruising information fed back by the unmanned aerial vehicles are recorded after guiding request signals received by piloting the unmanned aerial vehicles, and the unmanned aerial vehicles receiving the guiding signals automatically fly according to oil field inspection points set by automatic flying guiding signals; the unmanned aerial vehicle cluster reselects a piloting unmanned aerial vehicle and sets the coordinates of the next patrol point after reaching one patrol point set by the pilot signal, the newly generated piloting unmanned aerial vehicle sends a new pilot signal, part of unmanned aerial vehicles are separated from the original unmanned aerial vehicle cluster and go to the new patrol point, and the rest unmanned aerial vehicles perform data acquisition work at the current patrol point; the cloud server receives the data acquired by the unmanned aerial vehicle through a wireless network and draws the data into an image suitable for a GIS map, wherein the image comprises: two-dimensional images and three-dimensional images; and the manager is connected with the cloud server through the mobile terminal, checks the image information of the patrol point and sends a control oil field management and control instruction.

7. The method of claim 6, wherein the data collection further comprises: gather the oil field through the camera device on the unmanned aerial vehicle and patrol the geomorphic conditions of some, simultaneously, the gaseous composition analysis module of unmanned aerial vehicle built-in integration to the analysis is patrolled the composition in the air of some.

8. The method for collecting the oilfield patrol inspection fixed-point data based on the multiple unmanned aerial vehicles according to claim 7, wherein the operation data of the oilfield at the patrol inspection point are broadcasted in a short wave sending mode, the unmanned aerial vehicles acquire the broadcasted operation data after confirming the authority and transmit the broadcasted operation data to the cloud server, and a manager can compare the operation data directly fed back by the oilfield with the operation data acquired by the unmanned aerial vehicles to judge whether the spot operation condition of the patrol inspection point is normal or not.

9. The oil field inspection fixed point data acquisition method based on multiple unmanned aerial vehicles according to claim 8, wherein a sample library of oil contamination leakage is established in the cloud server, images of the established GIS map are analyzed through an SVM classifier, a sample set is set, training of inspection point images is conducted on a judgment system through machine learning, and the accurate position and the pollution range of the oil contamination leakage are judged in real time.

10. The method for collecting the oilfield patrol inspection fixed-point data based on the multiple unmanned aerial vehicles according to claim 9, wherein a voice device broadcasting device is further mounted on the unmanned aerial vehicle cluster and used for driving away illegal activities nearby the oilfield by voice.

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