CN111418296A - Intelligent reclamation system for abandoned well sites in oil fields - Google Patents
Intelligent reclamation system for abandoned well sites in oil fields Download PDFInfo
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- CN111418296A CN111418296A CN201910153638.1A CN201910153638A CN111418296A CN 111418296 A CN111418296 A CN 111418296A CN 201910153638 A CN201910153638 A CN 201910153638A CN 111418296 A CN111418296 A CN 111418296A
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- reclamation
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- 239000002689 soil Substances 0.000 claims abstract description 18
- 238000000034 method Methods 0.000 claims abstract description 12
- 238000013523 data management Methods 0.000 claims abstract description 11
- 230000005540 biological transmission Effects 0.000 claims abstract description 9
- 238000007405 data analysis Methods 0.000 claims abstract description 9
- 230000004720 fertilization Effects 0.000 claims abstract description 7
- 238000004458 analytical method Methods 0.000 claims abstract description 4
- 238000013439 planning Methods 0.000 claims description 11
- 239000013043 chemical agent Substances 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 claims description 4
- 238000007726 management method Methods 0.000 claims description 3
- 238000005507 spraying Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 2
- 238000013480 data collection Methods 0.000 claims 1
- 241000196324 Embryophyta Species 0.000 abstract description 10
- 239000003208 petroleum Substances 0.000 abstract description 7
- 239000000575 pesticide Substances 0.000 abstract description 6
- 238000013473 artificial intelligence Methods 0.000 abstract description 3
- 230000000007 visual effect Effects 0.000 abstract description 3
- 238000012544 monitoring process Methods 0.000 description 4
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- 235000015097 nutrients Nutrition 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 2
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Classifications
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01B—SOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
- A01B79/00—Methods for working soil
- A01B79/02—Methods for working soil combined with other agricultural processing, e.g. fertilising, planting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
Abstract
The invention discloses an intelligent reclamation system for abandoned well sites in oil fields, which comprises a robot, a cloud platform, a GPS (global positioning system), a sensor, a camera, a data management module, a wireless image transmission and a processor, wherein the robot uses the carried sensor and the camera to realize multi-source heterogeneous land reclamation data acquisition and transmits the data into a big reclamation data management system, the camera and the sensor acquire the data, the image is transmitted to the processor through the wireless image transmission to identify and classify plants, and the on-off of a valve is controlled to perform accurate fertilization after the identification is completed. The invention enables the system to carry out reclamation suitability analysis on damaged land after petroleum exploitation by using a big data analysis method in the using process and provides a harmless treatment scheme in a targeted manner; utilize artificial intelligence visual identification to realize the operation of ploughing in the soil that becomes more meticulous, realize accurate weed control, accurate fertilization can reduce 90% pesticide and use.
Description
Technical Field
The invention relates to the field of petroleum industry accessories and the field of environmental protection, in particular to an intelligent reclamation system for abandoned well sites in oil fields.
Background
At present, land after petroleum exploitation is difficult to implement reclamation operation, and the following reasons mainly exist: the petroleum construction project has the characteristics of large land area, multiple sites, long line, wide area, dispersion and the like, the reclamation after the exploitation has great difficulty, the land is not suitable for large-area modern cultivation, the land is different from a normal agricultural land, the erosion capacity of the land after the petroleum exploitation, the thickness of a soil layer, the structure of the soil and the like are damaged to a certain extent, the pH value of the land and the content of organic matters in the soil are different from those of the normal cultivation land, even industrial harmful substances remain, a targeted land harmless treatment scheme needs to be obtained according to the characteristics of the land, most of petroleum exploitation areas are dry, water resources are deficient, the material transportation is inconvenient, and the energy and cost are very important for saving.
Disclosure of Invention
The invention aims to provide an intelligent reclamation system for abandoned well sites in oil fields, wherein a big data analysis method is applied to analyze the reclamation suitability of damaged land after oil exploitation in the using process, and a harmless treatment scheme is put forward in a targeted manner; utilize artificial intelligence visual identification to realize the operation of ploughing in the soil that becomes more meticulous, realize accurate weed control, accurate fertilization can reduce 90% pesticide and use.
In order to achieve the purpose, the invention provides the following technical scheme: the intelligent reclamation system for the abandoned well site of the oil field comprises a robot, a cloud platform, a GPS (global positioning system), a sensor, a camera, a data management module and a wireless image transmission and processor, wherein the robot uses the carried sensor and the camera to realize multisource heterogeneous land reclamation data acquisition and transmits the data into a big reclamation data management system, the camera and the sensor acquire data, the image is transmitted to the processor through the wireless image transmission to identify and classify plants, the on-off of a control valve is controlled to carry out accurate fertilization after the identification is finished, the classified information is transmitted to the cloud platform to analyze big data, the data management module carries out analysis and evaluation on crop data of the farm, the distribution and the sparse degree of crops are reasonably planned, the scientific layout and the yield maximization of the crops are realized, the GPS positions and the working states of an intelligent robot are acquired through positioning, and monitoring the working state of the intelligent robot in real time.
Preferably, the management method of the system comprises the steps of carrying out big data analysis on collected data such as soil and terrain, evaluating land damage conditions and reclamation suitability, intelligently planning chemical agent selection and crop distribution and the like; a land data cloud platform is established to monitor the growth and distribution conditions of crops in real time, a reclamation scheme is intelligently optimized in time, and the robot is guided to work.
Preferably, the camera and the sensor form a detection module.
Preferably, in the robot operation process, the machine vision technology is adopted to analyze the acquired image data in real time so as to realize operations such as accurate spraying and accurate soil loosening in the reclamation work.
Preferably, the robot autonomously completes positioning and map construction, and autonomous path planning of the robot is achieved through cloud platform and GPS positioning after the map construction is completed.
Preferably, the system firstly performs big data analysis on data such as soil and terrain acquired by the robot, evaluates the land damage condition and the reclamation suitability, and intelligently plans chemical agent selection and crop distribution.
In conclusion, the invention has the following beneficial effects:
the intelligent reclamation system analyzes the reclamation suitability of damaged land after petroleum exploitation by using a big data analysis method and provides a harmless treatment scheme in a targeted manner; the artificial intelligent visual identification is utilized to realize the refined land cultivation operation, realize the accurate weed removal and the accurate fertilization, and the use of the pesticide can be reduced by 90 percent; aiming at the problems that large-scale instruments of an oil and gas field cannot be constructed at will and cannot enter at will, a GPS positioning and cloud platform intelligent monitoring and path planning technology is designed, so that unmanned autonomous operation is realized; the reclamation of the abandoned oil field is realized, and the method has great significance for environmental protection; the operation robot of this system is moderate, and the operation is meticulous to realize path planning according to the cloud platform, be fit for the operation in scattered soil, the accurate medicine that spouts of this system goes out the grass and waters and apply the nutrient solution function, can practice thrift a large amount of water resources, saves pesticide and nutrient solution cost.
Drawings
FIG. 1 is a land condition cloud detection flow diagram of the present invention;
FIG. 2 is a flowchart of land reclamation suitability assessment according to the present invention;
fig. 3 is a flowchart of the robot cooperative precision operation of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front", "rear", "both ends", "one end", "the other end", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "connected," and the like are to be construed broadly, such as "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1-3, an embodiment of the present invention is shown: an intelligent reclamation system facing abandoned well sites in oil fields comprises a robot, a cloud platform, a GPS, a sensor, a camera, a data management module and a wireless image transmission and processor, wherein the robot uses the carried sensor and the camera to realize multisource heterogeneous land reclamation data acquisition, the data is transmitted into a big reclamation data management system, the camera and the sensor acquire data, the image is transmitted to the processor through the wireless image transmission to identify and classify plants, the on-off of a control valve is controlled after the identification to carry out accurate fertilization, the classified information is transmitted to the cloud platform to analyze big data, the data management module analyzes and evaluates crop data of the farm, the distribution and the sparse degree of crops are reasonably planned, thereby realizing scientific layout and yield maximization of the crops, and the GPS positions and the working states of intelligent operation robots are obtained through positioning, and monitoring the working state of the intelligent robot in real time.
Furthermore, the management method of the system comprises the steps of carrying out big data analysis on collected data such as soil and terrain, evaluating the damage condition of the land and the reclamation suitability, intelligently planning chemical agent selection, crop distribution and the like; a land data cloud platform is established to monitor the growth and distribution conditions of crops in real time, a reclamation scheme is intelligently optimized in time, and the robot is guided to work.
Further, the camera and the sensor form a detection module.
Further, in the robot operation process, the machine vision technology is adopted to carry out real-time analysis on the acquired image data so as to realize operations such as accurate spraying and accurate soil loosening in the reclamation work.
Further, the robot autonomously completes positioning and map building, and autonomous path planning of the robot is achieved through cloud platform and GPS positioning after the map building is completed.
Further, the system firstly performs big data analysis on data such as soil and terrain acquired by the robot, evaluates the land damage condition and the reclamation suitability, and intelligently plans chemical agent selection and crop distribution.
The invention is an intelligent reclamation system facing to abandoned well sites in oil fields, the system firstly analyzes the data of soil, terrain and the like collected by a robot, evaluates the damaged condition and the reclamation suitability of the land, intelligently plans chemical agent selection and crop distribution to make the damaged land fully and reasonably utilized, the robot transmits the soil and crop growth state information back to the system in the operation process, the system records the soil condition and the crop growth condition of each part of the land, constructs a map partition mark, a user can check the land information of each part through a cloud platform client, monitors the crop growth condition, the monitoring system can monitor the state of the intelligent robot, the robot autonomously goes to an operation site for operation after a target site of the robot is set, the position and the working state of the intelligent operation robot are obtained through GPS positioning, the working state of the intelligent operation robot is monitored in real time, in the operation process of the intelligent robot, the machine vision is utilized to realize the fine operation of the land, namely, in the operation process, the artificial intelligence algorithm is utilized to identify and classify crops and weeds, the precise pesticide application to the weeds and the weeds is realized, the pesticide use is reduced, the nutrient solution cost is saved, in addition, the big data is utilized to analyze and evaluate the crop data on the farm, the distribution and the sparse degree of the crops are reasonably planned, the scientific layout and the yield maximization of the crops are realized, the constructed GPS robot positioning system realizes the autonomous planning of the robot path, the autonomous operation is realized, the path planning is carried out through the GPS system, the movement of the robot is controlled, the data is collected through a camera, the image is transmitted to a processor through wireless image transmission, the identification and the classification of the plants are carried out, the on-off of a control valve is controlled to carry out the precise fertilizer application after the identification is finished, and the classified information is transmitted to the cloud platform, the big data is analyzed, the functionality of the cloud platform is effectively improved, and the cloud platform is practical.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (6)
1. Towards intelligent reclamation system of oil field abandonment well site, including robot, cloud platform, GPS, sensor, camera, data management module, wireless picture biography and treater, its characterized in that: the robot uses the sensor, the camera that carry, realizes the heterogeneous land reclamation data acquisition of multisource, spreads into big data management system of reclamation with data, camera and sensor data collection transmit the image to the treater through wireless map transmission, carry out the discernment and the classification of plant, and the break-make of control flap carries out accurate fertilization after accomplishing the discernment to information transmission to the cloud platform after will classifying carries out the analysis of big data, data management module carries out analysis and evaluation to the crop data on farm, the distribution and the sparse degree of rational planning crops, thereby realizes scientific layout and the output maximize to crops, GPS location acquires intelligent work robot position and operating condition, real-time supervision intelligent robot work state.
2. The intelligent reclamation system for oilfield abandoned wellsites as recited in claim 1, wherein: the management method of the system comprises the steps of carrying out big data analysis on collected data such as soil and terrain, evaluating the damage condition of the land and the reclamation suitability, intelligently planning chemical agent selection, crop distribution and the like; a land data cloud platform is established to monitor the growth and distribution conditions of crops in real time, a reclamation scheme is intelligently optimized in time, and the robot is guided to work.
3. The intelligent reclamation system for oilfield abandoned wellsites as recited in claim 1, wherein: the camera and the sensor form a detection module.
4. The intelligent reclamation system for oilfield abandoned wellsites as recited in claim 1, wherein: in the robot operation process, a machine vision technology is adopted to analyze acquired image data in real time so as to realize operations such as accurate spraying and accurate soil loosening in the reclamation work.
5. The intelligent reclamation system for oilfield abandoned wellsites as recited in claim 1, wherein: the robot autonomously finishes positioning and map building, and autonomous path planning of the robot is realized through the cloud platform and GPS positioning after the map building is finished.
6. The intelligent reclamation system for oilfield abandoned wellsites as recited in claim 1, wherein: the system firstly performs big data analysis on data such as soil and terrain acquired by the robot, evaluates the land damage condition and the reclamation suitability, and intelligently plans chemical agent selection and crop distribution.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910153638.1A CN111418296A (en) | 2019-03-01 | 2019-03-01 | Intelligent reclamation system for abandoned well sites in oil fields |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910153638.1A CN111418296A (en) | 2019-03-01 | 2019-03-01 | Intelligent reclamation system for abandoned well sites in oil fields |
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| Publication Number | Publication Date |
|---|---|
| CN111418296A true CN111418296A (en) | 2020-07-17 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201910153638.1A Pending CN111418296A (en) | 2019-03-01 | 2019-03-01 | Intelligent reclamation system for abandoned well sites in oil fields |
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| CN (1) | CN111418296A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116500205A (en) * | 2023-06-26 | 2023-07-28 | 中国农业科学院农业信息研究所 | Underground leaching monitoring robot system and method for farmland nitrogen |
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