CN113095225A - System, method and equipment for artificial intelligent detection of operating state of pumping unit through infrared panoramic observation and storage medium - Google Patents
System, method and equipment for artificial intelligent detection of operating state of pumping unit through infrared panoramic observation and storage medium Download PDFInfo
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- CN113095225A CN113095225A CN202110394322.9A CN202110394322A CN113095225A CN 113095225 A CN113095225 A CN 113095225A CN 202110394322 A CN202110394322 A CN 202110394322A CN 113095225 A CN113095225 A CN 113095225A
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Abstract
The invention relates to an information processing technology, in particular to a system, a method, equipment and a storage medium for artificially and intelligently detecting the operating state of an oil pumping unit through infrared panoramic observation. Acquiring a sample of the oil pumping machine model through an imaging radar, training the sample to form a sample set, and respectively drawing detection areas of areas needing to be detected on the infrared panoramic imaging radar; the video analysis module compares the image of the pumping unit in the infrared imaging radar scanning process through a sample set of the database and judges the working state of the pumping unit according to whether the specific characteristic part has a motion track or not; and marking the working state of the oil pumping unit on radar software, and outputting a judgment result to a data storage unit. In view of the working characteristics of the infrared panoramic imaging radar, the invention can detect the states of all the pumping units in the coverage range of the radar in a judgment period, thereby greatly improving the detection of the working states of the pumping units in the visible range and reducing the labor intensity of oil workers.
Description
Technical Field
The invention discloses a method for artificially and intelligently detecting the operating state of an oil pumping unit through infrared panoramic observation, in particular to a system, a method, equipment and a storage medium for artificially and intelligently detecting the operating state of the oil pumping unit through infrared panoramic observation, and belongs to the field of oil field information processing.
Background
Because open-air region is vast, the operating condition of beam-pumping unit in the oil field needs the control, if the beam-pumping unit stops for a long time because of the fault and can influence the work efficiency of oil recovery, how to judge whether beam-pumping unit is worked, is the solution that needs urgently at present. Traditionally, the working state of the pumping unit is judged by means of well patrol workers, and the mode is high in labor intensity, long in time, untimely in discovery and the like. The video monitoring of a single well is too single, the monitoring range is small, and the video monitoring is limited by the equipment perfectness rate.
Disclosure of Invention
The invention aims to solve the problem that the prior art can not efficiently judge the working states of a plurality of pumping units at the same time; the invention provides an analysis method and a system for detecting the operation state of an oil pumping unit by artificial intelligence of infrared panoramic vision, and the technical scheme of the invention is as follows:
the first scheme is as follows: an artificial intelligence detection pumping unit running state system of infrared panoramic view comprises an infrared panoramic imaging radar, a sample training module, a video analysis unit and a data storage unit;
the infrared panoramic imaging radar is used as a system core and is responsible for scanning the panorama of the area and forming an image;
the infrared panoramic imaging radar is connected with a sample training module and is responsible for labeling a sample set of images formed by the infrared panoramic imaging radar;
the system comprises a sample training module, a video analysis unit and a data storage unit, wherein the video analysis unit is used for identifying the working state of the pumping unit and transmitting identification result data back to an infrared panoramic imaging radar;
the video analysis unit is bidirectionally connected with the data storage unit, wherein the data storage unit is responsible for storing and reading the data generated by the sample training module and the video analysis unit.
Further, the scanning speed of the infrared panoramic imaging radar is 360 DEG/s, and the model is ARD-IMR-C;
the sample training module comprises a deep learning model formed by a deep learning algorithm and is used for sorting the sample set of the images.
Scheme II: a method for detecting the operating state of an oil pumping unit by artificial intelligence of infrared panoramic vision is realized on the basis of the system of the scheme I, and comprises the following specific steps:
step a, erecting an infrared panoramic imaging radar with the frequency of 1Hz, scanning the working state of an oil well in the 360-degree direction within the coverage range and forming an image;
b, performing model training on pumping units with different distances, sizes and angles, and storing the trained samples in a data storage unit;
step c, respectively drawing detection areas on the oil pumping units to be monitored on the infrared panoramic imaging radar, and marking the names of the oil pumping units;
d, the video analysis unit judges whether the moving part of the pumping unit has a moving track in the radar periodic scanning process according to the trained data model so as to identify the working state of the pumping unit and output the identified result to the data storage unit;
and e, recognizing the working state of the pumping unit for many times, counting the judgment result, and marking the result in the formed image of the infrared panoramic imaging radar to finish the method for artificially and intelligently detecting the running state of the pumping unit.
Further, in the step b, the samples of the pumping unit within the range of 500-3000 meters are collected, and every 400-500 meters are collected; and collecting the oil pumping unit sample with the front side surface and the inclined side surface with the inclination angle larger than 15 degrees in each distance range.
Furthermore, the model training refers to establishing a deep learning model about the pumping unit samples, training at least 10000 pumping unit samples through a deep learning algorithm, and establishing a sample set to be stored in a data storage unit.
Further, performing a model training process on the sample set, wherein the model training process comprises noise addition, fuzzy processing and turning processing; wherein the adding noise refers to adding noise to the image by using Gaussian noise; the flipping includes a horizontal flipping and a vertical flipping.
Further, in step d or e, the process of outputting the identified result to the data storage unit, the working state of the pumping unit includes stop and normal operation, the output of the normal operation of the pumping unit is recorded as 1, and the stop is 0 as the storage result;
the method for judging the working state of the pumping unit comprises the steps that the infrared panoramic imaging radar carries out sample comparison and identification on the pumping unit in a detection area, and the relative position, the angle and the orientation of a moving part of the pumping unit are identified; and comparing each frame of data, detecting the displacement of the pumping moving part, and judging the displacement of the cycle every 15 s.
Furthermore, in the step e, the multiple identification and the statistics of the identification result of the working state of the pumping unit are carried out, specifically based on the maximum number of times of the judgment result; and marking a working state frame of the pumping unit on the radar, giving an alarm to the pumping unit which does not work, performing loop injection in a form of a dotted line frame, and performing loop injection and recording on a real frame of the working pumping unit.
The third scheme is as follows: the device for artificially and intelligently detecting the running state of the pumping unit through the infrared panoramic vision comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the step of the method for artificially and intelligently detecting the running state of the pumping unit through the infrared panoramic vision when executing the computer program.
And the scheme is as follows: a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements a method for artificial intelligence detection of operating conditions of a pumping unit by infrared periscope according to one, two or three of the above aspects.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a method for rapidly identifying the working state of a wide-area oil well in a video monitoring mode of an established infrared panoramic imaging radar, which can be used for simultaneously visually monitoring and identifying a plurality of pumping units in the process of radar periodic scanning through a set of equipment and discovering and alarming the pumping units which work abnormally, thereby reducing the energy loss;
the invention can exert the function of the equipment to the maximum extent, greatly saves the labor cost, shortens the fault discovery time of the oil pumping unit, adapts to the changeable requirements of market application and recovers a large amount of economic loss of the oil field.
Drawings
FIG. 1 is a diagram of a system for detecting the operating status of an oil pumping unit by artificial intelligence based on infrared panoramic vision;
FIG. 2 is a logical relationship diagram of a method for detecting the operating state of an oil pumping unit by artificial intelligence based on infrared panoramic vision;
fig. 3 is a schematic diagram of radar effect of infrared panoramic artificial intelligence detection of the operation state of the pumping unit.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings.
The first embodiment is as follows: an artificial intelligence detection pumping unit running state system of infrared panoramic view comprises an infrared panoramic imaging radar, a sample training module, a video analysis unit and a data storage unit; an infrared panoramic imaging radar is used as a system core and is responsible for scanning the panorama of an area in an infrared mode and forming an image; the infrared panoramic imaging radar is connected with a sample training module and is responsible for labeling a sample set of images formed by the infrared panoramic imaging radar; the system comprises a sample training module, a video analysis unit and a data storage unit, wherein the video analysis unit is used for identifying the working state of the pumping unit and transmitting identification result data back to an infrared panoramic imaging radar; the video analysis unit is bidirectionally connected with the data storage unit, wherein the data storage unit is responsible for storing and reading the data generated by the sample training module and the video analysis unit.
The second embodiment is as follows: a method for detecting the operating state of an oil pumping unit by artificial intelligence based on infrared panoramic vision is shown in figure 2 and comprises the following specific implementation steps:
step a, erecting an infrared panoramic imaging radar which can scan the working state of an oil well in the 360-degree direction within the coverage range, wherein the frequency is 1 Hz;
b, performing model training on pumping units with different distances, sizes and angles, and storing the trained samples in a data storage unit;
step c, respectively drawing detection areas on the infrared panoramic imaging radar for the pumping units to be monitored, and marking the names of the pumping units;
d, judging whether the moving part of the pumping unit has a moving track in the radar periodic scanning process by the video analysis unit according to the trained data model so as to identify whether the pumping unit works;
and e, judging the working state of the pumping unit for multiple times, and counting the judgment results for multiple times according to the numerical value of the multiple states. And meanwhile, the working state of the pumping unit is output, the pumping unit which does not work is alarmed, the pumping unit is circled in a dotted line frame mode, and the working pumping unit is circled in a real frame mode and recorded.
Specifically, the method comprises the following steps: and constructing an identification model for identifying the working state of the pumping unit.
Specifically, the working state of the pumping unit comprises: stopping and normal operation.
Specifically, the pumping unit is focused on the infrared panoramic imaging radar, a detection area is drawn, and the area just covers the whole pumping unit.
Specifically, in the process of training the recognition model, the data storage sample model is utilized to recognize the relative position of the pumping unit in an image picture, then the moving part of the pumping unit is recognized, the recognition is carried out 1 frame per second, and then whether the moving part of the pumping unit moves or not is judged according to the image comparison of each frame.
Specifically, the statistics of the determination results are performed based on the data with the large number of times of determination results. Therefore, the oil pumping unit on the infrared panoramic imaging radar is marked.
Specifically, the determination result is input to the data storage unit again.
Preferably, the method for manufacturing the sample set for the pumping unit model output by the infrared panoramic imaging radar comprises the steps of erecting the infrared panoramic imaging radar, wherein the scanning speed is 360 degrees/s, and the model is as follows: ARD-IMR-C. Samples of the pumping unit at different distances are collected, wherein the samples are in the range of about 500-3000 meters and every 400-500 meters. And collecting the pumping unit samples with the front side surfaces and the inclined side surfaces with equal inclination angles larger than 15 degrees in each distance range. Through the deep learning model, more than 10000 pumping unit samples are trained, and a sample set is constructed and stored in a data storage unit.
Preferably, in order to make the sample set richer and have a certain fault tolerance, a certain technical means needs to be performed on the samples, and the following steps can be adopted: (1) noise increase: denoising the image by using Gaussian noise; (2) fuzzy processing; (3) turning: including horizontal flipping and vertical flipping.
Preferably, the detection area of the oil pumping unit to be identified is drawn on the infrared panoramic imaging radar. The pumping units to be detected are drawn by frame rings, and the names of the pumping units are marked.
Preferably, the method for judging the working state of the pumping unit comprises the steps of comparing and identifying samples of the pumping unit in the detection area by using an infrared panoramic imaging radar, and identifying the relative position, the angle and the orientation of a moving part of the pumping unit.
Comparing every frame of data, detecting the displacement of the pumping moving part, and judging the displacement of the cycle at regular intervals (about 15 seconds). The market research shows that the maximum displacement time of pumping oil occurs about 15 seconds, namely the pumping unit horse head moves to the highest point in about 15 second period from the lowest point.
And after multiple identifications, counting the identification result of the working state of the pumping unit on the basis of the judgment result with multiple times. Marking a working state frame of the pumping unit on the radar, giving an alarm to the pumping unit which does not work, and performing loop injection in a form of a dotted line frame; the working oil pumping unit is enclosed.
Preferably, the result of the recognition is output to the data storage unit. The working output of the pumping unit is 1; otherwise it is 0.
The third concrete implementation mode: according to the system and the method described in the first or second embodiment, the system and the method can be realized by a computer program, and the database stores data for calling;
specifically, the system includes an electronic device; a readable storage medium; one or more processors; a memory; a plurality of application programs; and one or more computer programs; wherein the one or more computer programs are stored in the memory, the one or more computer programs comprising instructions.
Specifically, the database is SQL Server2005 or above.
Those skilled in the art will recognize that, in one or more of the examples described above, the functions described in this invention may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another, and storage media can be any available media that can be accessed by a general purpose or special purpose computer.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present invention should be included in the scope of the present invention.
Claims (10)
1. The utility model provides an artificial intelligence of infrared panorama detects beam-pumping unit running state system which characterized in that: the system comprises an infrared panoramic imaging radar, a sample training module, a video analysis unit and a data storage unit;
the infrared panoramic imaging radar is used as a system core and is responsible for scanning the panorama of the area and forming an image;
the infrared panoramic imaging radar is connected with a sample training module and is responsible for labeling a sample set of images formed by the infrared panoramic imaging radar;
the system comprises a sample training module, a video analysis unit and a data storage unit, wherein the video analysis unit is used for identifying the working state of the pumping unit and transmitting identification result data back to an infrared panoramic imaging radar;
the video analysis unit is bidirectionally connected with the data storage unit, wherein the data storage unit is responsible for storing and reading the data generated by the sample training module and the video analysis unit.
2. The system for detecting the operating state of the pumping unit by the artificial intelligence of the infrared panoramic view is characterized in that: the infrared panoramic imaging radar has the scanning speed of 360 DEG/s and the model of ARD-IMR-C;
the sample training module comprises a deep learning model formed by a deep learning algorithm and is used for sorting the sample set of the images.
3. An artificial intelligence method for detecting the operation state of a pumping unit by infrared panoramic observation is realized on the basis of the system of any one of claims 1-2, and is characterized in that: the method comprises the following specific steps:
step a, erecting an infrared panoramic imaging radar with the frequency of 1Hz, scanning the working state of an oil well in the 360-degree direction within the coverage range and forming an image;
b, performing model training on pumping units with different distances, sizes and angles, and storing the trained samples in a data storage unit;
step c, respectively drawing detection areas on the oil pumping units to be monitored on the infrared panoramic imaging radar, and marking the names of the oil pumping units;
d, the video analysis unit judges whether the moving part of the pumping unit has a moving track in the radar periodic scanning process according to the trained data model so as to identify the working state of the pumping unit and output the identified result to the data storage unit;
and e, recognizing the working state of the pumping unit for many times, counting the judgment result, and marking the result in the formed image of the infrared panoramic imaging radar to finish the method for artificially and intelligently detecting the running state of the pumping unit.
4. The method for detecting the operating state of the pumping unit by the artificial intelligence of the infrared panoramic vision, according to claim 3, is characterized in that: in the step b, the samples of the pumping unit within the range of 500-3000 meters are collected, and every 400-500 meters are collected; and collecting the oil pumping unit sample with the front side surface and the inclined side surface with the inclination angle larger than 15 degrees in each distance range.
5. The method for detecting the operating state of the pumping unit by the artificial intelligence of the infrared panoramic view is characterized by comprising the following steps of: and the model training refers to establishing a deep learning model about the pumping unit samples, training at least 10000 pumping unit samples through a deep learning algorithm, and establishing a sample set to be stored in a data storage unit.
6. The method for detecting the operating state of the pumping unit by the artificial intelligence of the infrared panoramic view is characterized by comprising the following steps of: performing a model training process on the sample set, wherein the model training process comprises noise addition, fuzzy processing and turning processing; wherein the adding noise refers to adding noise to the image by using Gaussian noise; the flipping includes a horizontal flipping and a vertical flipping.
7. The method for detecting the operating state of the pumping unit by the artificial intelligence of the infrared panoramic vision, according to claim 3, is characterized in that: in step d or e, the process of outputting the identified result to the data storage unit, the working state of the pumping unit comprises stop and normal operation, the output of the normal operation of the pumping unit is recorded as 1, and the stop is 0 to serve as a storage result;
the method for judging the working state of the pumping unit comprises the steps that the infrared panoramic imaging radar carries out sample comparison and identification on the pumping unit in a detection area, and the relative position, the angle and the orientation of a moving part of the pumping unit are identified; and comparing each frame of data, detecting the displacement of the pumping moving part, and judging the displacement of the cycle every 15 s.
8. The method for detecting the operating state of the pumping unit by the artificial intelligence of the infrared panoramic vision, according to claim 7, is characterized in that: in the step e, the multiple identification and the statistics of the identification result of the working state of the pumping unit are carried out, and the judgment result is the most times; and marking a working state frame of the pumping unit on the radar, giving an alarm to the pumping unit which does not work, performing loop injection in a form of a dotted line frame, and performing loop injection and recording on a real frame of the working pumping unit.
9. The utility model provides an artificial intelligence of infrared panorama detects beam-pumping unit running state device which characterized in that: the method comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the method for detecting the operating state of the pumping unit by artificial intelligence of infrared panoramic vision according to any one of claims 3 to 8 when executing the computer program.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program is used for realizing the method for detecting the operating state of the pumping unit by the artificial intelligence of the infrared panoramic vision according to any one of claims 3 to 8 when being executed by a processor.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117518175A (en) * | 2023-11-09 | 2024-02-06 | 大庆安瑞达科技开发有限公司 | Method for rapidly finding fire source by infrared Zhou Saolei reaching wide area range |
| CN117853986A (en) * | 2024-03-06 | 2024-04-09 | 西安众望能源科技有限公司 | Video monitoring system and method based on oil well equipment |
-
2021
- 2021-04-13 CN CN202110394322.9A patent/CN113095225A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117518175A (en) * | 2023-11-09 | 2024-02-06 | 大庆安瑞达科技开发有限公司 | Method for rapidly finding fire source by infrared Zhou Saolei reaching wide area range |
| CN117518175B (en) * | 2023-11-09 | 2024-05-31 | 大庆安瑞达科技开发有限公司 | Method for quickly finding fire source by infrared Zhou Saolei reaching wide area range |
| CN117853986A (en) * | 2024-03-06 | 2024-04-09 | 西安众望能源科技有限公司 | Video monitoring system and method based on oil well equipment |
| CN117853986B (en) * | 2024-03-06 | 2024-05-28 | 西安众望能源科技有限公司 | Video monitoring system and method based on oil well equipment |
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