CN111173500A - Oil field pumping unit working condition wireless data acquisition and monitoring system - Google Patents
Oil field pumping unit working condition wireless data acquisition and monitoring system Download PDFInfo
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- 238000005086 pumping Methods 0.000 title claims abstract description 172
- 238000012544 monitoring process Methods 0.000 title claims abstract description 15
- 238000001514 detection method Methods 0.000 claims abstract description 110
- 238000004891 communication Methods 0.000 claims abstract description 34
- 238000000034 method Methods 0.000 claims abstract description 18
- 241001023788 Cyttus traversi Species 0.000 claims description 6
- 239000003638 chemical reducing agent Substances 0.000 claims description 5
- 239000000725 suspension Substances 0.000 claims description 5
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 3
- 239000004576 sand Substances 0.000 claims description 3
- 238000007790 scraping Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 claims description 2
- 238000004080 punching Methods 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 8
- 238000000605 extraction Methods 0.000 description 5
- 238000006073 displacement reaction Methods 0.000 description 3
- 238000010009 beating Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000003129 oil well Substances 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
- E21B43/12—Methods or apparatus for controlling the flow of the obtained fluid to or in wells
- E21B43/121—Lifting well fluids
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
- F04B49/06—Control using electricity
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B51/00—Testing machines, pumps, or pumping installations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention relates to a wireless data acquisition and monitoring system for the working condition of an oil pumping unit in an oil field, which comprises a monitoring center and detection equipment, wherein the detection equipment comprises a motor noise detection device, a base vibration detection device, a support swing detection device and a support vibration detection device of the oil pumping unit, the monitoring center is in wireless communication connection with the detection equipment and is used for acquiring the fault type of the oil pumping unit according to a signal detected by the detection equipment, and the acquisition method comprises the following steps: acquiring a fault model library of the oil pumping unit; detecting the noise signal of the motor when the pumping unit works, and judging whether the noise signal of the motor is uniform or not; if the noise of the motor is not uniform, acquiring a working condition frequency spectrogram of the pumping unit; and obtaining the fault type of the pumping unit by combining the pumping unit working condition frequency spectrogram stored in the pumping unit fault model library. The technical scheme provided by the invention can automatically detect the self fault of the pumping unit and solve the problem of low working efficiency when the self fault of the pumping unit is detected in the prior art.
Description
Technical Field
The invention belongs to the technical field of monitoring of oil field pumping units, and particularly relates to a wireless data acquisition and monitoring system for working conditions of an oil field pumping unit.
Background
The oil pumping machine is a machine for exploiting oil, and is commonly called a head knocking machine. The pumping unit is the main lifting equipment in a rod pumping system, and the working principle of the pumping unit is that a power machine supplies power, the high-speed rotation of the power machine is changed into the low-speed rotation of a crank of the pumping unit through a speed reducer, the rotary motion is changed into the up-and-down reciprocating motion of a horse head of the pumping unit through a crank-connecting rod-walking beam mechanism, and a deep well pump is driven to work through a rope hanger assembly.
The main parts of the pumping unit are provided with a power machine for providing power; a speed reducer for transmitting power and reducing speed; a four-bar mechanism for transmitting power and converting rotary motion into reciprocating motion; a horsehead and a polished rod eye assembly which can transmit power and ensure the polished rod to do reciprocating linear motion; a brake device which enables the oil pumping machine to stay at any position, a balance device which enables the power machine to work within a small load change range, and the like.
According to whether the pumping unit has a walking beam, the pumping unit can be divided into a walking beam type pumping unit and a non-walking beam type pumping unit. The beam-pumping unit, also called beam-pumping unit, beam-crank balance pumping unit, refers to the pumping unit which contains the beam, and through the link mechanism switching-over, the crank pouring weight is balanced, commonly called kowtow machine. The oil extraction mode is rod oil extraction equipment, and the oil extraction mode can be divided into two types, namely rod oil extraction equipment and rodless oil extraction equipment.
At present, the fault judgment of the rod-pumped well mainly depends on an indicator diagram, the indicator diagram is a relation curve diagram between a suspension point load and a suspension point displacement, and a tool for measuring the indicator diagram is a power instrument. The indicator diagram is a drawing which reflects the working condition of the deep well pump, is measured by a special instrument and is drawn on a coordinate diagram, and the area enclosed by closed line segments represents the work done by the pumping unit during one reciprocating motion of the horse head.
However, the indicator diagram is used for detecting the fault of the oil pumping well in the oil field, the working condition of the oil pumping unit cannot be reflected, the oil pumping unit has a plurality of transmission and load devices, and once the fault occurs, the oil pumping unit cannot continue to pump oil. At present, the method for detecting the self fault of the pumping unit manually detects the self fault of the pumping unit when the pumping unit has a fault, and the detection efficiency is lower.
Disclosure of Invention
The invention aims to provide a wireless data acquisition and monitoring system for the working condition of an oil pumping unit in an oil field, which aims to solve the problem of low working efficiency when the oil pumping unit in the prior art breaks down.
In order to achieve the purpose, the invention adopts the following technical scheme:
the wireless data acquisition and monitoring system for the working condition of the pumping unit in the oil field comprises a monitoring center and detection equipment, wherein the detection equipment comprises a motor noise detection device, a base vibration detection device, a support swing detection device and a support vibration detection device of the pumping unit, the monitoring center is in wireless communication connection with the detection equipment and is used for acquiring the fault type of the pumping unit according to a signal detected by the detection equipment, and the acquisition method comprises the following steps:
(1) acquiring a fault model library of the oil pumping unit;
the pumping unit fault model library stores pumping unit working condition frequency spectrograms under various fault states, wherein the pumping unit working condition spectrograms comprise a frequency spectrogram of pumping unit support swing, a frequency spectrogram of base vibration and a frequency spectrogram of support vibration;
(2) detecting the noise signal of the motor when the pumping unit works, and judging whether the noise signal of the motor is uniform or not;
(3) if the noise of the motor is not uniform, acquiring a working condition frequency spectrogram of the pumping unit; and obtaining the fault type of the pumping unit by combining the pumping unit working condition frequency spectrogram stored in the pumping unit fault model library.
Further, the fault types in the oil pumping unit fault model library comprise infirm foundation construction, unfirm contact between a base and a foundation, unfirm contact between a support floor and the base, large alignment error between a horse head and a well head, overweight and overload of a suspension point load, insufficient balance rate, serious scraping or sand discharge of an underground oil well pump and gear beating of a reducer gear.
Further, in the step (3), the similarity between the working condition frequency spectrogram of the pumping unit and the working condition frequency spectrograms of the pumping units in the fault type library of the pumping unit is calculated, and the fault type of the working condition frequency spectrogram with the highest similarity is used as the fault type of the pumping unit.
Further, the detected working condition frequency spectrogram of the oil pumping unit and the working condition frequency spectrogram of the oil pumping unit in various fault states in the fault type library of the oil pumping unit are converted into a histogram, and then the similarity is calculated according to the histogram.
Further, the method for obtaining the fault model library of the oil pumping unit comprises the following steps:
detecting the swing amplitude of the bracket of the oil pumping unit, the vibration amplitude of the bracket and the vibration amplitude of the base at intervals of set time under various fault states;
detecting the pumping unit for a first set number of times in a first detection period to obtain a support swing amplitude, a support vibration amplitude and a base vibration amplitude of the pumping unit in the first detection period;
and acquiring the swing amplitude of the support of the pumping unit, the vibration amplitude of the support and the vibration amplitude of the base in a first detection period of continuous second set times, calculating the average value of the swing amplitude of the support, the vibration amplitude of the support and the vibration amplitude of the base at the detection moment corresponding to each first detection period, and taking the average value as the corresponding amplitude in the fault model library of the pumping unit.
Further, the method for judging whether the motor noise is uniform comprises the following steps:
detecting the noise signal of the engine, judging whether the noise signals in two continuous second detection periods are consistent, and if not, continuing to detect;
and if the noise signals in the second detection periods of the third set number are not consistent, judging that the noise of the engine is not uniform.
Further, the support vibration detection device, the motor noise detection device, the base vibration detection device and the support swing detection device all comprise corresponding controllers, and each controller is connected with a wireless communication module and a corresponding detection sensor.
The monitoring center is also used for judging that the power supply state of the motor is quite abnormal according to the voltage and the current of the motor; and (3) judging that the power supply state of the motor is quite abnormal after detecting whether the noise signal of the motor is uniform in the step (2), and executing the step (3) when the power supply state of the motor is normal.
According to the technical scheme provided by the invention, the fault type of the pumping unit is judged according to the support swing signal, the base vibration signal and the support vibration signal of the pumping unit, and the type of the pumping unit can be accurately obtained. The technical scheme provided by the invention can automatically detect the self fault of the pumping unit and solve the problem of low working efficiency when the self fault of the pumping unit is detected in the prior art.
Drawings
FIG. 1 is a schematic structural diagram of a wireless data acquisition and monitoring system for the working conditions of an oil pumping unit in an oil field according to an embodiment of the present invention;
fig. 2 is a flow chart of determining the type of failure of the pumping unit in the embodiment of the present invention.
Detailed Description
The embodiment provides an oil field beam-pumping unit operating mode wireless data acquisition and monitored control system, judges the trouble type of beam-pumping unit according to the vibration signal of beam-pumping unit base, the swing signal and the vibration signal of support, and work efficiency is lower when solving prior art beam-pumping unit self trouble.
The wireless data acquisition and monitoring system for the working condition of the oil pumping unit in the oil field has the structure shown in figure 1 and comprises a monitoring center, a motor noise detection device, a base vibration detection device, a support swing detection device and a support vibration detection device. The monitoring center is provided with the host computer, and the host computer is connected with total wireless communication module, through total wireless communication module and motor noise detection device, base vibration detection device, support swing detection device and support vibration detection device wireless communication connection.
The motor noise detection device is arranged at the motor of the oil pumping unit and used for detecting a noise signal of the motor; the base vibration detection device is arranged on a base of the pumping unit and used for detecting a vibration signal of the base of the pumping unit; the support swing detection device and the support vibration detection device are arranged on a support of the pumping unit and are respectively used for detecting a swing signal and a vibration signal of the support of the pumping unit.
The upper computer of the monitoring center obtains a noise signal of the motor of the pumping unit, a vibration signal of the base and a vibration signal and a swing signal of the support from the motor noise detection device, the base vibration detection device, the support swing detection device and the support vibration detection device, and judges the fault type of the pumping unit according to the signals.
The flow of the method for judging the fault type of the pumping unit by the upper computer according to the vibration signal of the base, the vibration signal of the bracket and the swing signal is shown in figure 2, and the method comprises the following steps:
(1) and acquiring a fault model library of the oil pumping unit.
The pumping unit fault model library stores working condition frequency spectrograms of the pumping unit under various fault states, wherein the fault types comprise infirm foundation construction, unfirm contact between a base and a foundation, unfirm contact between a support floor and the base, large centering error between a horse head and a wellhead, overweight and overload suspension point load, insufficient balance rate, serious scraping phenomenon or sand production of an underground oil well pump and gear beating of a reducer gear.
The working condition frequency spectrogram of the pumping unit comprises a frequency spectrogram of the swing of a pumping unit support, a frequency spectrogram of the vibration of a base and a frequency spectrogram of the vibration of the support under the various types of fault states.
The method for acquiring the working condition frequency spectrogram of the oil pumping unit under various fault states in the oil pumping unit fault model library comprises the following steps:
under various fault states, detecting the support swing amplitude, the support vibration amplitude and the base vibration amplitude of the oil pumping unit at intervals of set time;
detecting a first set number of support swing amplitude values, support vibration amplitude values and base vibration amplitude values of the pumping unit in a first detection period to obtain the support swing amplitude values, the support vibration amplitude values and the base vibration amplitude values of the pumping unit in the first detection period;
and continuously monitoring the support swing amplitude, the support vibration amplitude and the base vibration amplitude of the pumping unit in a second set number of first detection periods according to the method, and carrying out average solution on data of corresponding detection time points in each first detection period so as to obtain the support swing amplitude, the support vibration amplitude and the base vibration amplitude of the pumping unit in one first detection period, thereby obtaining a working condition spectrogram of the pumping unit.
If the vibration amplitude of the bracket of the pumping unit is taken as an example, the vibration amplitude of the bracket of the pumping unit is detected for 100 times in a first detection period, the interval of each detection is 0.01 second, the vibration amplitudes of the bracket of the pumping unit in 20 first detection periods are continuously detected, the average value of the vibration amplitudes of the bracket of the pumping unit detected for the same detection times in each first detection period is calculated, so that the vibration amplitude of the bracket of the pumping unit in each first detection period is calculated, and a frequency spectrogram obtained according to the vibration amplitude of the bracket of the pumping unit in the first detection period is the frequency spectrogram of the vibration of the bracket of the pumping unit in the fault model library of the pumping unit.
(2) When the pumping unit works, the noise signal of the motor of the pumping unit is detected, and whether the noise signal of the motor of the pumping unit is uniform or not is judged.
The method for judging whether the noise signal of the motor of the oil pumping unit is uniform comprises the following steps:
detecting the noise signal of the pumping unit motor to obtain the noise signal of the pumping unit motor in a second detection period;
judging whether the noise signals of the motors in two continuous second detection periods are consistent, if not, judging whether the noise signals of the motors in the two continuous second detection periods are consistent or not;
if not, judging that the noise signal of the pumping unit motor is not uniform.
(3) When the noise signal of the motor of the pumping unit is uneven, the swing signal, the vibration signal and the vibration signal of the base of the pumping unit support are detected to obtain a frequency spectrogram of the swing of the pumping unit support, a frequency spectrogram of the vibration frequency spectrum and a frequency spectrogram of the vibration of the base, the frequency spectrogram is compared with the frequency spectrogram of the working condition of the pumping unit in various fault states stored in a fault model library of the pumping unit to obtain a fault type with the highest similarity, and the fault type is used as the fault type of the pumping unit.
The similarity calculation method comprises the following steps:
acquiring working condition frequency spectrograms of the pumping unit under various types of faults in a pumping unit fault model library to obtain histograms of pumping unit support swing, support vibration and base vibration under various fault states;
and obtaining histograms of the support swing, the support vibration and the base vibration according to the detected spectrograms of the support swing, the support vibration and the base vibration of the pumping unit, and calculating the similarity by combining a pumping unit fault model library.
Obtaining a corresponding histogram according to the corresponding relation between the swing amplitude of the support of the pumping unit, the vibration amplitude of the support and the vibration amplitude of the base and time, wherein the obtaining method comprises the following steps: and dividing the first detection period into continuous time intervals of a fourth set number, reading a corresponding amplitude value at each interval, and taking the amplitude value as the amplitude value of the time interval, thereby obtaining the histograms of the swing of the support, the vibration of the support and the vibration of the base of the pumping unit.
Taking the histogram of the vibration of the pumping unit support as an example, the first detection cycle is divided into 10 time periods, one vibration amplitude is selected from vibration amplitudes of the pumping unit support corresponding to each time period on the spectrogram, and the vibration amplitude is used for obtaining the vibration amplitude of the pumping unit support in the time period, so that the vibration amplitude of each time period is obtained, and the histogram of the support vibration in the first detection cycle is obtained.
The method for calculating the similarity between the two histograms comprises the following steps:
calculating the similarity of the two histograms in corresponding time periods so as to obtain the similarity of the histograms in each time period in a detection period;
assuming that the amplitude of one time segment in one histogram is n1 and the amplitude of the corresponding time segment in the other histogram is n2, the similarity of the two histograms in the time segment is
m＝|n1-n2|/n1
And calculating the average value of the histogram similarity of each time section in the two histograms as the overall similarity of the two histograms.
Further, a motor power supply detection device is arranged in the detection equipment, and the motor power supply device is used for detecting the power supply voltage and the power supply current of the motor and judging whether the power supply is stable or not according to the power supply voltage and the power supply current of the motor; the method for judging whether the power supply of the motor is stable is to judge whether the power supply current is stable, the power supply voltage is stable and whether three-phase imbalance exists; when the power supply current of the motor is unstable, the power supply voltage is unstable or three-phase imbalance exists, the power supply of the motor can be judged to be unstable. In the method for judging the fault type of the pumping unit, when the noise signal of the motor of the pumping unit is detected to be uneven, whether the power supply is stable is judged firstly, if so, the step (3) is executed, otherwise, the step (3) is not executed.
In this embodiment, the support vibration detection device includes a first detection controller, the first detection controller is connected with a first wireless communication module and a first vibration sensor, and the first wireless communication module is used for wireless communication connection with a monitoring center; the first detection controller detects a vibration signal of the pumping unit support through the first vibration sensor and sends the vibration signal to the monitoring center through the first wireless communication module.
In this embodiment, the support vibration detection device includes a first detection controller, the first detection controller is connected with a first wireless communication module and a first vibration sensor, and the first wireless communication module is used for wireless communication connection with a monitoring center; the first detection controller detects a vibration signal of the pumping unit support through the first vibration sensor and sends the vibration signal to the monitoring center through the first wireless communication module.
The base vibration detection device in the embodiment comprises a second detection controller, wherein the second detection controller is connected with a second wireless communication module and a second vibration sensor, and the second wireless communication module is used for being in wireless communication connection with a monitoring center; the second detection controller detects the vibration signal of the pumping unit base through the second vibration sensor and sends the vibration signal to the monitoring center through the second wireless communication module.
The motor noise detection device in the embodiment comprises a third detection controller, wherein the third detection controller is connected with a third wireless communication module and a noise detection module, and the third wireless communication module is used for being in wireless communication connection with a monitoring center; the third detection controller detects the noise signal of the motor of the pumping unit through the noise detection module and sends the noise signal to the monitoring center through the third wireless communication module.
In this embodiment, the support vibration detection device comprises a fourth detection controller, the fourth detection controller is connected with a fourth wireless communication module, a gyroscope and a displacement sensor, and the fourth wireless communication module is used for wireless communication connection with a monitoring center; the fourth detection controller detects the swing direction and angle of the pumping unit support through the gyroscope, detects the swing amplitude of the pumping unit support through the displacement sensor, and sends the swing amplitude to the monitoring center through the fourth wireless communication module.
In this embodiment, the similarity between the spectrograms is calculated in a histogram manner, and as another embodiment, the similarity between the two spectrograms may be calculated in another method, for example, the two spectrograms are respectively fitted to obtain fitting equations thereof, and then the similarity is calculated by comparing the similarities between the two equations.
The total wireless communication module, the first wireless communication module, the second wireless communication module, the third wireless communication module and the fourth wireless communication module in this embodiment are all wireless communication modules based on a ZigBee module.
The embodiments of the present invention disclosed above are intended merely to help clarify the technical solutions of the present invention, and it is not intended to describe all the details of the invention nor to limit the invention to the specific embodiments described. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (8)
1. The oil field pumping unit working condition wireless data acquisition and monitoring system is characterized by comprising a monitoring center and detection equipment, wherein the detection equipment comprises a motor noise detection device, a base vibration detection device, a support swing detection device and a support vibration detection device of a pumping unit, the monitoring center is in wireless communication connection with the detection equipment and is used for acquiring the fault type of the pumping unit according to a signal detected by the detection equipment, and the acquisition method comprises the following steps:
(1) acquiring a fault model library of the oil pumping unit;
the pumping unit fault model library stores pumping unit working condition frequency spectrograms under various fault states, wherein the pumping unit working condition spectrograms comprise a frequency spectrogram of pumping unit support swing, a frequency spectrogram of base vibration and a frequency spectrogram of support vibration;
(2) detecting the noise signal of the motor when the pumping unit works, and judging whether the noise signal of the motor is uniform or not;
(3) if the noise of the motor is not uniform, acquiring a working condition frequency spectrogram of the pumping unit; and obtaining the fault type of the pumping unit by combining the pumping unit working condition frequency spectrogram stored in the pumping unit fault model library.
2. The system according to claim 1, wherein the types of failures in the pumping unit failure model library include weak foundation construction, loose contact between the base and the foundation, loose contact between the support floor and the base, large alignment error between the horse head and the wellhead, excessive and overload suspension point load, insufficient balance rate, severe scraping or sand production of an underground oil pump, and gear tooth punching of a reducer gear.
3. The system for wirelessly acquiring and monitoring the working condition data of the oil pumping unit in the oil field according to claim 1, wherein in the step (3), the similarity between the working condition frequency spectrogram of the oil pumping unit and the working condition frequency spectrograms of the oil pumping units in the fault type library of the oil pumping unit is calculated, and the fault type corresponding to the working condition frequency spectrogram with the highest similarity is used as the fault type of the oil pumping unit.
4. The system of claim 3, wherein the detected beam-pumping unit operating condition spectrogram and the beam-pumping unit operating condition spectrograms in various fault states in the beam-pumping unit fault type library are converted into histograms, and the similarity is calculated according to the histograms.
5. The wireless data acquisition and monitoring system for the working condition of the oil pumping unit in the oil field according to claim 1, wherein the method for acquiring the fault model library of the oil pumping unit comprises the following steps:
detecting the swing amplitude of the bracket of the oil pumping unit, the vibration amplitude of the bracket and the vibration amplitude of the base at intervals of set time under various fault states;
detecting the pumping unit for a first set number of times in a first detection period to obtain a support swing amplitude, a support vibration amplitude and a base vibration amplitude of the pumping unit in the first detection period;
and acquiring the swing amplitude of the support of the pumping unit, the vibration amplitude of the support and the vibration amplitude of the base in a first detection period of continuous second set times, calculating the average value of the swing amplitude of the support, the vibration amplitude of the support and the vibration amplitude of the base at the detection moment corresponding to each first detection period, and taking the average value as the corresponding amplitude in the fault model library of the pumping unit.
6. The wireless data acquisition and monitoring system for the working condition of the oil pumping unit in the oil field according to claim 1, wherein the method for judging whether the noise of the motor is uniform comprises the following steps:
detecting the noise signal of the engine, judging whether the noise signals in two continuous second detection periods are consistent, and if not, continuing to detect;
and if the noise signals in the second detection periods of the third set number are not consistent, judging that the noise of the engine is not uniform.
7. The system according to claim 1, wherein the bracket vibration detection device, the motor noise detection device, the base vibration detection device and the bracket swing detection device each comprise a corresponding controller, and each controller is connected with a wireless communication module and a corresponding detection sensor.
8. The wireless data acquisition and monitoring system for the working condition of the oil pumping unit in the oil field according to claim 1, characterized by further comprising a motor power supply detection device for detecting the voltage and the current of the motor of the oil pumping unit, wherein the monitoring center is further used for judging that the power supply state of the motor is very abnormal according to the voltage and the current of the motor; and (3) judging that the power supply state of the motor is quite abnormal after detecting whether the noise signal of the motor is uniform in the step (2), and executing the step (3) when the power supply state of the motor is normal.
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| CN113309496A (en) * | 2021-06-04 | 2021-08-27 | 东营安顺电气有限公司 | Pumping unit driving motor system and fault monitoring method |
| CN113338909A (en) * | 2021-08-09 | 2021-09-03 | 天津市正方科技发展有限公司 | Pumping unit fault inspection system based on audio and sound collection method |
| CN114017009A (en) * | 2021-09-29 | 2022-02-08 | 大庆师范学院 | Oil pumping unit production condition judgment system under computer monitoring |
| CN115749738A (en) * | 2021-09-03 | 2023-03-07 | 北京助创科技有限公司 | Method and device for monitoring operation rate of oil pumping unit |
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