CN110410306A - Working conditions of oil extractor diagnostic device and diagnostic method - Google Patents
Working conditions of oil extractor diagnostic device and diagnostic method Download PDFInfo
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- CN110410306A CN110410306A CN201910745780.5A CN201910745780A CN110410306A CN 110410306 A CN110410306 A CN 110410306A CN 201910745780 A CN201910745780 A CN 201910745780A CN 110410306 A CN110410306 A CN 110410306A
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- 238000002405 diagnostic procedure Methods 0.000 title claims description 8
- 238000005086 pumping Methods 0.000 claims abstract description 77
- 238000013499 data model Methods 0.000 claims abstract description 18
- 238000004891 communication Methods 0.000 claims description 10
- 230000005611 electricity Effects 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 9
- 238000006073 displacement reaction Methods 0.000 claims description 8
- 239000003990 capacitor Substances 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 241000208340 Araliaceae Species 0.000 claims 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims 1
- 235000003140 Panax quinquefolius Nutrition 0.000 claims 1
- 235000008434 ginseng Nutrition 0.000 claims 1
- 238000003745 diagnosis Methods 0.000 abstract description 4
- 238000004364 calculation method Methods 0.000 abstract description 2
- 238000012360 testing method Methods 0.000 abstract description 2
- 238000000034 method Methods 0.000 description 5
- 238000004519 manufacturing process Methods 0.000 description 4
- 239000003129 oil well Substances 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 241001484259 Lacuna Species 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000000819 phase cycle Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012631 diagnostic technique Methods 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
Classifications
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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
- E21B47/00—Survey of boreholes or wells
- E21B47/008—Monitoring of down-hole pump systems, e.g. for the detection of "pumped-off" conditions
- E21B47/009—Monitoring of walking-beam pump systems
-
- 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
- F04B49/065—Control using electricity and making use of computers
-
- 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
- F04B49/10—Other safety measures
-
- 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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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Geology (AREA)
- Physics & Mathematics (AREA)
- Mining & Mineral Resources (AREA)
- Life Sciences & Earth Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geophysics (AREA)
- Computer Hardware Design (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The present invention provides a kind of working conditions of oil extractor diagnostic device, comprising: sensor unit is used to sense one complete cycle of operation of pumping unit；Electric quantity acquisition unit is used to acquire the electrical parameter of pumping-unit motor；Core cpu unit, it connect with the sensor unit and electric quantity acquisition unit, the running track that the pumping unit runs a complete cycle is divided into multiple location points by the core cpu unit, the core cpu unit controls the electric quantity acquisition unit and acquires electrical parameter of the pumping unit on each location point, and indicator card is drawn according to the collected electrical parameter of institute, and compare the indicator card with the data model being stored in internal database, judge the working condition of pumping unit and makes decisions.The present invention precisely finds the test point for diagnosing and wanting in required data using sensor；2. the present invention has the function of powerful edge calculations, quickly formed and compare function figure, quickly calculated diagnosis and draw a conclusion.
Description
Technical field
The present invention relates to detection instrument field, a kind of working conditions of oil extractor diagnostic device and diagnostic method are more particularly related to.
Background technique
Pumping unit is a kind of machinery equipment for exploiting petroleum, is commonly called as " kowtowing machine ".Pumping unit be in rod pumping system most
Main lifting equipment.According to whether there is walking beam, beam pumping unit can be divided into and without beam pumping unit.Currently, countries in the world
Still the application beam pumping unit of large area, the producer of beam pumping unit produced in USA have more than ten, and kind, model are numerous
It is more, in addition, there are the producer for producing a variety of pumping units in the states such as Britain, France, the former Soviet Union, Romania.Domestic pumping unit manufacture
There are tens of families in factory, and product type is diversified, but beam pumping unit is still in a dominant position.The important technological parameters of pumping unit
Including specified polished rod load, polished rod maximum stroke, retarder nominal torque and highest jig frequency etc., definition and number are in a standard
All standardize.Whether pumping unit work is normal, influences production safety and production efficiency, failure quick lock in and solution, helps
In keeping the safety in production and improve efficiency.
Pumping unit diagnostic method includes: artificial acquisition method at present: machine-pumped oil well using artificial patrol check oil well running current,
Voltage, operating condition measure the power consumption of oil well using special instrument to calculate entire squad year electricity consumption etc., such work
Mode expends a large amount of manpower, and screw pump, electric pump well etc. can not determine that it is at night or in the case where bad weather
It is no whether good in operation and operation conditions.Mechanics study method:, consider crank actual angular speed, the inertia of double leval jib, friction etc.
Factor derives the computation model based on polished rod indicator card.Establish mechanics correlation indicator card.Electrician Tu Fa: at present for pumping unit
The indicator card diagnostic techniques of well operating condition has more research, can judge the working condition of producing well substantially by indicator card.So
And the measurement of indicator card is comparatively laborious, therefore there has been proposed the thought that oil well condition is directly judged by measuring electrical parameter, electricity
Work figure method.Acquire transmission method: the sample of collection in worksite, either mechanics parameter or electrical parameter need remote transmission to center
Platform judgement for statistical analysis, it was therefore concluded that.
There is no a kind of pair of working conditions of oil extractor automatic collections currently on the market；Acquisition is accurate and what is be easy to get has generation
The data of table；Modeling and model compare, and locally obtain diagnostic result, and make series control according to result decision and move
Make；It is provided simultaneously with the device of teletransmission data platform shared data.
Summary of the invention
The object of the present invention is to provide a kind of working conditions of oil extractor diagnostic device and diagnostic method, dynamic acquisition working conditions of oil extractor
State, and the representative electrical parameter data and data model accurately obtained compares, and locally obtains diagnostic result, and
Serial control action is made according to result decision.
To achieve the goals above, the present invention provides a kind of working conditions of oil extractor diagnostic devices, comprising:
Sensor unit is used to sense one complete cycle of operation of pumping unit；
Electric quantity acquisition unit is used to acquire the electrical parameter of pumping-unit motor；
Core cpu unit is connect with the sensor unit and electric quantity acquisition unit, and the core cpu unit is by institute
The running track for stating pumping unit one complete cycle of operation is divided into multiple location points or time point, the core cpu unit
It controls the electric quantity acquisition unit and acquires the pumping unit in each location point or the electrical parameter on time point, and according to being acquired
The electrical parameter arrived draws electrician's figure inverting indicator card, and by electrician's figure inverting indicator card and is stored in internal database
Data model compares, and judges the working condition of pumping unit and makes decisions.
Preferred embodiment is: the sensor unit is Hall sensor or angular displacement sensor.
Preferred embodiment is: the Hall sensor interrupts a cycle of operation of reaction pumping unit by 2 acquisitions.
Preferred embodiment is: the angular displacement sensor senses the minimum angles and maximum angle of the pumping unit rotation,
The pumping unit rotation is rotated further by from minimum angles to maximum angle comes back to minimum angles, reacts the operation week of pumping unit
Phase.
Preferred embodiment is: the core cpu unit is connect with start and stop well banked relay group, when the core cpu unit
When judging the pumping unit exception, Xiang Suoshu start and stop well banked relay group issues instruction, the start and stop well banked relay
Group carries out the control of start and stop well after receiving instruction.
Preferred embodiment is: the core cpu unit is by electrician's figure inverting indicator card and is stored in internal database
Data model comparison after the judging result that obtains cloud platform data center sharing data is sent to by communication module and is examined
Disconnected result.
Preferred embodiment is: the cloud platform data center issues control instruction, is carried out by start and stop well banked relay group
The control of start and stop well.
Preferred embodiment is: further including detection of power loss unit, upon power failure, the detection of power loss unit can trigger super
Capacitances to supply power gives the core cpu unit, so that power cut-off information is sent cloud platform data center by the core cpu unit.
Preferred embodiment is: further including sound-light alarm control unit, it is abnormal that the core cpu unit judges go out the pumping unit
When, Xiang Suoshu sound-light alarm control unit issues instruction and alarms.
The diagnostic method of working conditions of oil extractor diagnostic device, step include:
1) sensor unit senses one complete cycle of operation of pumping unit；
2) core cpu unit by pumping unit run a complete cycle running track be divided into multiple location points or when
Between point；
3) the core cpu unit controls the electric quantity acquisition unit and acquires the pumping unit in each location point or time
Electrical parameter on point, and electrician's figure inverting indicator card is drawn according to the collected electrical parameter of institute, and electrician's figure inverting is shown
Function figure is compared with the data model being stored in internal database；
4) when the core cpu unit judges go out the pumping unit exception, Xiang Suoshu start and stop well banked relay group hair
It instructs out, the start and stop well banked relay group carries out the control of start and stop well after receiving instruction, and the judging result obtained is led to
It crosses communication module and is sent to cloud platform data center sharing data and diagnostic result.
Beneficial effects of the present invention:
1. the present invention precisely finds the test point for diagnosing and wanting in required data using sensor；
2. the present invention has the function of powerful edge calculations, quickly formed and compare function figure, quickly calculated diagnosis and draw a conclusion；
3. the present invention has mass data modeling, the historical empirical data modeling of accumulation for many years, being formed has scientific basis
Diagnostic criteria；
4. the present invention has flexible in-situ processing control function.
5. the present invention applies the data communication network in forward position, network sharing data, decision facilitate management.
Detailed description of the invention
Fig. 1 is structural block diagram of the invention.
Specific embodiment
Present invention will be described in further detail below with reference to the accompanying drawings, to enable those skilled in the art referring to specification text
Word can be implemented accordingly.
It should be appreciated that such as " having ", "comprising" and " comprising " term used herein do not allot one or more
The presence or addition of a other elements or combinations thereof.
Embodiment 1
The present invention provides a kind of working conditions of oil extractor diagnostic devices, comprising:
Angular displacement sensor is mounted on walking beam-connecting rod-crank mechanism of pumping unit, and angular displacement sensor passes through
Minimum angles are returned from minimum angles to maximum angle when walking beam-connecting rod-crank work determines a cycle of operation, and root
Walking beam-connecting rod-crank running track of pumping unit is judged according to the path that angular displacement sensor passes through；
Core cpu unit is connect with the sensor unit and electric quantity acquisition unit, and the core cpu unit is by institute
The running track for stating pumping unit one complete cycle of operation is divided into 200 location points, and the core cpu unit controls electricity
Acquisition unit acquires electrical parameter of the pumping unit on each location point, and draws electrician's figure according to the collected electrical parameter of institute
Inverting indicator card, and electrician's figure inverting indicator card is compared with the data model being stored in internal database, sentence
The working condition of disconnected pumping unit simultaneously makes decisions；According to electric quantity acquisition unit acquire electrical parameter, judge whether there is phase sequence mistake,
Lacuna；Three-phase current and voltage are judged whether in normal range of operation, to determine whether pumping-unit motor works normally；It calculates
Pumping-unit motor daily normal working hours and downtime；The core cpu unit is by electrician's figure inverting indicator card
The judging result obtained after comparison with the data model being stored in internal database is sent to cloud platform by communication module
Data center's sharing data and diagnostic result；
Electric quantity acquisition unit, connection pumping unit control motor, are run the pumping unit by the core cpu unit
The running track of one complete cycle is divided into 200 location points, in pumping unit work, acquires each precise local fix
Control the electrical parameter of motor；
Internal database is inside preset with the data model for judging fault state, when electric quantity acquisition unit collects
It when data, is compared by collecting data with data model corresponding in internal database, judges whether data exception, taken out
Oil machine is when leaving the factory, internal to have downloaded the mass data model accumulated for many years in advance, and it is corresponding to define every kind of model
Physical fault situation, in case working conditions of oil extractor fault diagnosis uses；
Start and stop well banked relay, the core cpu unit is connect with start and stop well banked relay group, when the CPU core
When heart unit judges go out the pumping unit exception, Xiang Suoshu start and stop well banked relay group issues instruction, and the start and stop well group closes
Relay group carries out the control of start and stop well after receiving instruction；The cloud platform data center issues control instruction, passes through start and stop well
Banked relay group carries out the control of start and stop well；
Sound-light alarm control unit, when the core cpu unit judges go out the pumping unit exception, Xiang Suoshu sound-light alarm
Control unit issues instruction and alarms, while alarm is uploaded to cloud platform, and starts having for configuration configuration and alert upload number
It carries out data according to interval to report, waiting system uploads after restoring normal according still further to the normal data time interval that uploads；
Detection of power loss unit, upon power failure, the detection of power loss unit can trigger super capacitor and supply electricity to the CPU
Core cell, so that power cut-off information is sent cloud platform data center by the core cpu unit.
Daily electrician's figure acquisition position calibration, equipment judge every mistake one, start waiting electrician and scheme acquisition calibration, work as oil pumping
When machine starts to work normally, external angular displacement sensor obtains the minimum angles and maximum of pumping unit rotation by acquisition communication
Angle, equipment rotation is rotated further by from minimum angles to maximum angle comes back to minimum angles, can accurately react pumping unit
The data of one cycle of operation, calibration are stored to local storage unit.
The acquisition of electrician's figure.It uploads data time to arrive, starts new electrician's diagram data acquisition, the pumping calibrated according to front
Pumping unit state position is divided into 200 equal portions by the oil machine cycle of operation, and electrician's figure is acquired on each accurate location point
Required three-phase electricity flow valuve and corresponding active power value.
Core CPU unit obtains data and forms electrician's figure inverting indicator card, is compared to be formed with magnanimity modeling data and examine
Disconnected conclusion, there is whether the conclusion scene of obtaining needs to start emergency action decision, and the implementation of the decision is by start and stop well banked relay
Group is implemented, and can be by NB communication module circuitry, with cloud platform data center sharing data and diagnostic result.
Embodiment 2
The present invention provides a kind of working conditions of oil extractor diagnostic devices, comprising:
Hall sensor, the Hall sensor interrupt a cycle of operation of reaction pumping unit by 2 acquisitions；
Core cpu unit is connect with the sensor unit and electric quantity acquisition unit, and the core cpu unit is by institute
The running track for stating pumping unit one complete cycle of operation is divided into 200 time points, and the core cpu unit controls electricity
Acquisition unit acquire the pumping unit at every point of time on electrical parameter, and electrician's figure is drawn according to the collected electrical parameter of institute
Inverting indicator card, and electrician's figure inverting indicator card is compared with the data model being stored in internal database, sentence
The working condition of disconnected pumping unit simultaneously makes decisions；According to electric quantity acquisition unit acquire electrical parameter, judge whether there is phase sequence mistake,
Lacuna；Three-phase current and voltage are judged whether in normal range of operation, to determine whether pumping-unit motor works normally；It calculates
Pumping-unit motor daily normal working hours and downtime；The core cpu unit is by electrician's figure inverting indicator card
The judging result obtained after comparison with the data model being stored in internal database is sent to cloud platform by communication module
Data center's sharing data and diagnostic result；
Electric quantity acquisition unit, connection pumping unit control motor, are run the pumping unit by the core cpu unit
The running track of one complete cycle is divided into 200 time points, in pumping unit work, acquires each precise time point
Control the electrical parameter of motor；
Internal database is inside preset with the data model for judging fault state, when electric quantity acquisition unit collects
It when data, is compared by collecting data with data model corresponding in internal database, judges whether data exception, taken out
Oil machine is when leaving the factory, internal to have downloaded the mass data model accumulated for many years in advance, and it is corresponding to define every kind of model
Physical fault situation, in case working conditions of oil extractor fault diagnosis uses；
Start and stop well banked relay, the core cpu unit is connect with start and stop well banked relay group, when the CPU core
When heart unit judges go out the pumping unit exception, Xiang Suoshu start and stop well banked relay group issues instruction, and the start and stop well group closes
Relay group carries out the control of start and stop well after receiving instruction；The cloud platform data center issues control instruction, passes through start and stop well
Banked relay group carries out the control of start and stop well；
Sound-light alarm control unit, when the core cpu unit judges go out the pumping unit exception, Xiang Suoshu sound-light alarm
Control unit issues instruction and alarms, while alarm is uploaded to cloud platform, and starts having for configuration configuration and alert upload number
It carries out data according to interval to report, waiting system uploads after restoring normal according still further to the normal data time interval that uploads；
Detection of power loss unit, upon power failure, the detection of power loss unit can trigger super capacitor and supply electricity to the CPU
Core cell, so that power cut-off information is sent cloud platform data center by the core cpu unit.
Daily electrician's figure acquisition time calibration, equipment judge every mistake one, start waiting electrician's figure period regulation, work as oil pumping
When machine starts to work normally, external Hall sensor is interrupted by acquisition, and 2 acquisition interruptions can accurately react pumping unit
The data of one cycle of operation, calibration are stored to local storage unit.
The acquisition of electrician's figure.It uploads data time to arrive, starts new electrician's diagram data acquisition, the pumping calibrated according to front
Period is divided into 200 equal portions by the oil machine cycle of operation, is acquired three required for electrician's figure on each accurate time point
Phase current values and corresponding active power value.
Core CPU unit obtains data and forms electrician's figure inverting indicator card, is compared to be formed with magnanimity modeling data and examine
Disconnected conclusion, there is whether the conclusion scene of obtaining needs to start emergency action decision, and the implementation of the decision is by start and stop well banked relay
Group is implemented, and can be by NB communication module circuitry, with cloud platform data center sharing data and diagnostic result.
Embodiment 3
The diagnostic method of working conditions of oil extractor diagnostic device, step include:
1) sensor unit senses one complete cycle of operation of pumping unit；
2) core cpu unit by pumping unit run a complete cycle running track be divided into multiple location points or
Time point；
3) the core cpu unit control the electric quantity acquisition unit acquire the pumping unit each location point or when
Between electrical parameter on point, and electrician's figure inverting indicator card is drawn according to the collected electrical parameter of institute, and by electrician's figure inverting
Indicator card is compared with the data model being stored in internal database；
4) when the core cpu unit judges go out the pumping unit exception, Xiang Suoshu start and stop well banked relay group hair
It instructs out, the start and stop well banked relay group carries out the control of start and stop well after receiving instruction, and the judging result obtained is led to
It crosses communication module and is sent to cloud platform data center sharing data and diagnostic result.
Although the embodiments of the present invention have been disclosed as above, but its is not only in the description and the implementation listed
With it can be fully applied to various fields suitable for the present invention, for those skilled in the art, can be easily
Realize other modification, therefore without departing from the general concept defined in the claims and the equivalent scope, the present invention is simultaneously unlimited
In specific details and legend shown and described herein.
Claims (10)
1. working conditions of oil extractor diagnostic device characterized by comprising
Sensor unit is used to sense one complete cycle of operation of pumping unit；
Electric quantity acquisition unit is used to acquire the electrical parameter of pumping-unit motor；
Core cpu unit is connect with the sensor unit and electric quantity acquisition unit, and the core cpu unit is by the pumping
The running track that oil machine runs a complete cycle is divided into multiple location points, and the core cpu unit controls the electricity
Acquisition unit acquires electrical parameter of the pumping unit on each location point, and shows function according to the collected electrical parameter drafting of institute
Figure, and the indicator card is compared with the data model being stored in internal database, judge the working condition of pumping unit
And it makes decisions.
2. working conditions of oil extractor diagnostic device according to claim 1, which is characterized in that the sensor unit is Hall biography
Sensor or angular displacement sensor.
3. working conditions of oil extractor diagnostic device according to claim 2, which is characterized in that the Hall sensor passes through 2
A cycle of operation of reaction pumping unit is interrupted in acquisition.
4. working conditions of oil extractor diagnostic device according to claim 2, which is characterized in that the angular displacement sensor senses
The minimum angles and maximum angle of the pumping unit rotation, the pumping unit rotation are rotated further by back from minimum angles to maximum angle
Minimum angles are come, a cycle of operation of pumping unit is reacted.
5. working conditions of oil extractor diagnostic device according to claim 1, which is characterized in that the core cpu unit and start and stop
Well banked relay group connection, when the core cpu unit judges go out the pumping unit exception, Xiang Suoshu start and stop well group close after
Electric appliance group issues instruction, and the start and stop well banked relay group carries out the control of start and stop well after receiving instruction.
6. working conditions of oil extractor diagnostic device according to claim 1, which is characterized in that the core cpu unit will be described
The judging result obtained after indicator card and the comparison for the data model being stored in internal database is sent to by communication module
Cloud platform data center sharing data and diagnostic result.
7. working conditions of oil extractor diagnostic device according to claim 6, which is characterized in that the cloud platform data center issues
Control instruction carries out the control of start and stop well by start and stop well banked relay group.
8. working conditions of oil extractor diagnostic device according to claim 1, which is characterized in that it further include detection of power loss unit, when
When power failure, the detection of power loss unit can trigger super capacitor and supply electricity to the core cpu unit, so that the CPU core
Calculated information and power cut-off information are sent cloud platform data center by heart unit.
9. working conditions of oil extractor diagnostic device according to claim 1, which is characterized in that further include that sound-light alarm control is single
Member, when the core cpu unit judges go out the pumping unit exception, Xiang Suoshu sound-light alarm control unit issues instruction and is reported
It is alert.
10. the diagnostic method of working conditions of oil extractor diagnostic device according to claim 1, which is characterized in that step includes:
1) sensor unit senses one complete cycle of operation of pumping unit；
2) running track that pumping unit runs a complete cycle is divided into multiple location points by core cpu unit；
3) the core cpu unit controls the electric quantity acquisition unit and acquires electricity ginseng of the pumping unit on each location point
Number, an and indicator card is drawn according to the collected electrical parameter of institute, and by the indicator card and the data that are stored in internal database
Model compares；
4) when the core cpu unit judges go out the pumping unit exception, the sending of Xiang Suoshu start and stop well banked relay group refers to
It enables, the start and stop well banked relay group carries out the control of start and stop well after receiving instruction, and by the judging result obtained by leading to
Letter module is sent to cloud platform data center sharing data and diagnostic result.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111472724A (en) * | 2020-03-27 | 2020-07-31 | 上海复泉工程技术有限公司 | Working state detection control intelligent oil pumping machine |
| CN111963116A (en) * | 2020-08-14 | 2020-11-20 | 中国石油大学(北京) | Intelligent gas field system and method for self-adaption and intelligent analysis decision |
| CN114876782A (en) * | 2022-05-13 | 2022-08-09 | 三一汽车制造有限公司 | Hydraulic pump fault detection method and device and working machine |
| CN115749740A (en) * | 2021-09-03 | 2023-03-07 | 北京助创科技有限公司 | Method and device for detecting distribution efficiency of pumping well and readable storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1916413A (en) * | 2006-09-05 | 2007-02-21 | 西安交通大学 | Energy saving system of networked measuring and controlling pumping units |
| CN201926705U (en) * | 2011-01-20 | 2011-08-10 | 中国石油化工股份有限公司 | Portable electric parameter detector for pumping unit |
| CN104314526A (en) * | 2014-10-13 | 2015-01-28 | 西安大唐监控技术有限公司 | Indicator diagram performance analysis-based pumping unit intelligent equipment and calculation method thereof |
| CN104883113A (en) * | 2015-06-03 | 2015-09-02 | 新疆敦华石油技术股份有限公司 | Automatic pumping unit parameter adjusting device and method |
| CN106682815A (en) * | 2016-11-30 | 2017-05-17 | 西安石油大学 | Pumping well monitoring system and monitoring method |
| CN106837301A (en) * | 2017-03-03 | 2017-06-13 | 中国石油化工股份有限公司胜利油田分公司胜利采油厂 | The rod-pumped well diagnostic method of working condition that a kind of electric work figure is integrated with indicator card |
| CN208220769U (en) * | 2018-04-18 | 2018-12-11 | 中国石油天然气股份有限公司 | Device and system for acquiring indicator diagram of pumping well |
| CN109063629A (en) * | 2018-07-27 | 2018-12-21 | 滕奇刚 | A method of pumping unit lower dead point position on identification oil pumping electromechanical parameters curve |
| CN209011803U (en) * | 2018-09-29 | 2019-06-21 | 陕西安控科技有限公司 | A kind of pumping unit control device with fault diagnosis functions |
-
2019
- 2019-08-13 CN CN201910745780.5A patent/CN110410306A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1916413A (en) * | 2006-09-05 | 2007-02-21 | 西安交通大学 | Energy saving system of networked measuring and controlling pumping units |
| CN201926705U (en) * | 2011-01-20 | 2011-08-10 | 中国石油化工股份有限公司 | Portable electric parameter detector for pumping unit |
| CN104314526A (en) * | 2014-10-13 | 2015-01-28 | 西安大唐监控技术有限公司 | Indicator diagram performance analysis-based pumping unit intelligent equipment and calculation method thereof |
| CN104883113A (en) * | 2015-06-03 | 2015-09-02 | 新疆敦华石油技术股份有限公司 | Automatic pumping unit parameter adjusting device and method |
| CN106682815A (en) * | 2016-11-30 | 2017-05-17 | 西安石油大学 | Pumping well monitoring system and monitoring method |
| CN106837301A (en) * | 2017-03-03 | 2017-06-13 | 中国石油化工股份有限公司胜利油田分公司胜利采油厂 | The rod-pumped well diagnostic method of working condition that a kind of electric work figure is integrated with indicator card |
| CN208220769U (en) * | 2018-04-18 | 2018-12-11 | 中国石油天然气股份有限公司 | Device and system for acquiring indicator diagram of pumping well |
| CN109063629A (en) * | 2018-07-27 | 2018-12-21 | 滕奇刚 | A method of pumping unit lower dead point position on identification oil pumping electromechanical parameters curve |
| CN209011803U (en) * | 2018-09-29 | 2019-06-21 | 陕西安控科技有限公司 | A kind of pumping unit control device with fault diagnosis functions |
Non-Patent Citations (3)
| Title |
|---|
| 朱军: "抽油机井的智能化管理", 《化工管理》 * |
| 秦延才等: "油井直流母线群控节电技术研究", 《石油石化节能》 * |
| 魏迎春等: "《韩城区块煤层气井煤粉产出机理及主控因素研究》", 31 August 2015, 地质出版社 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111472724A (en) * | 2020-03-27 | 2020-07-31 | 上海复泉工程技术有限公司 | Working state detection control intelligent oil pumping machine |
| CN111472724B (en) * | 2020-03-27 | 2022-02-22 | 上海复泉工程技术有限公司 | Working state detection control intelligent oil pumping machine |
| CN111963116A (en) * | 2020-08-14 | 2020-11-20 | 中国石油大学(北京) | Intelligent gas field system and method for self-adaption and intelligent analysis decision |
| CN111963116B (en) * | 2020-08-14 | 2022-04-12 | 中国石油大学(北京) | Intelligent gas field system and method for self-adaption and intelligent analysis decision |
| CN115749740A (en) * | 2021-09-03 | 2023-03-07 | 北京助创科技有限公司 | Method and device for detecting distribution efficiency of pumping well and readable storage medium |
| CN114876782A (en) * | 2022-05-13 | 2022-08-09 | 三一汽车制造有限公司 | Hydraulic pump fault detection method and device and working machine |
| CN114876782B (en) * | 2022-05-13 | 2024-03-12 | 三一汽车制造有限公司 | Hydraulic pump fault detection method and device and working machine |
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