CN112506121A - Submersible electric pump intelligent monitoring system based on Internet of things - Google Patents
Submersible electric pump intelligent monitoring system based on Internet of things Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 55
- 238000000605 extraction Methods 0.000 claims abstract description 26
- 238000004519 manufacturing process Methods 0.000 claims abstract description 13
- 238000001514 detection method Methods 0.000 claims description 11
- 230000006855 networking Effects 0.000 claims description 9
- 238000009833 condensation Methods 0.000 claims description 5
- 230000005494 condensation Effects 0.000 claims description 5
- 238000010438 heat treatment Methods 0.000 claims description 5
- 238000007689 inspection Methods 0.000 claims 1
- 230000005540 biological transmission Effects 0.000 description 11
- 239000007788 liquid Substances 0.000 description 9
- 238000004891 communication Methods 0.000 description 6
- 238000013480 data collection Methods 0.000 description 6
- 238000011084 recovery Methods 0.000 description 6
- 230000009189 diving Effects 0.000 description 5
- 239000003129 oil well Substances 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 4
- 238000001816 cooling Methods 0.000 description 3
- 230000006378 damage Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 230000002035 prolonged effect Effects 0.000 description 3
- 238000004804 winding Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000005086 pumping Methods 0.000 description 2
- 238000005299 abrasion Methods 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003990 capacitor Substances 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000009837 dry grinding Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 238000009413 insulation Methods 0.000 description 1
- 230000010355 oscillation Effects 0.000 description 1
- 230000003071 parasitic effect Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
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Abstract
The invention relates to the field of oil extraction equipment, and discloses an intelligent monitoring system for an electric submersible pump based on the Internet of things, which comprises a data acquisition subsystem, a ground control subsystem and an Internet of things cloud platform, wherein the data acquisition subsystem is connected with the ground control subsystem; the data acquisition subsystem is used for acquiring underground working condition data, frequency converter data and wellhead pipeline pressure data and transmitting the data to the ground control subsystem; the ground control subsystem is used for comprehensively operating the underground working condition data, the frequency converter data and the inlet pipeline pressure data and transmitting the data to the Internet of things cloud platform so as to comprehensively monitor the oil extraction process; the cloud platform of the Internet of things is used for storing the received underground working condition data, frequency converter data and wellhead pipeline pressure data and displaying the data at a terminal so that a user can monitor the running state of the submersible electric pump and wellhead production data in real time.
Description
Technical Field
The invention relates to the technical field of oil field oil extraction equipment, in particular to an intelligent monitoring system for an electric submersible pump based on the Internet of things.
Background
The electric submersible pump is a multi-stage centrifugal pump working underground, and is put into a well together with an oil pipe, a ground power supply transmits electric energy to the underground electric submersible pump through a transformer, a control screen and a power cable, so that the electric submersible pump is driven by the underground electric submersible pump to rotate, the electric energy is converted into mechanical energy, and well fluid in the oil well is lifted to the ground. The electric submersible pump is taken as an important mechanical oil extraction device, and the history of the electric submersible pump introduced in 1981 has been nearly 20 years. In recent 20 years, the electric submersible pump is widely applied to oil fields as an important mechanical oil production device.
At the present stage, the electric submersible pump is mainly managed by manually and regularly patrolling, an oil well is generally dispersed in a remote place in the field, the transportation is inconvenient, the manual well patrol period is long, the running condition of the electric submersible pump cannot be known in real time, and workers cannot be supervised in real time. Oil well head is apart from liquid level several hundred meters to several kilometers in the pit, along with high temperature, high pressure, the abominable operational environment of strong corruption, traditional sensor has various interference signal in signal acquisition in-process, these interference signal superposes and obscures, the signal error that leads to finally gathering is big, anti harmonic interference ability is weak, well head pipeline overvoltage protection need add other safety equipment, the function is incomplete and the dispersion is numerous, can not effectively guarantee oil recovery unit safe operation.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an intelligent monitoring system of an electric submersible pump based on the Internet of things, so that a user can monitor the operation condition of oil extraction equipment in real time, the safety and the reliability of an oil extraction unit are enhanced, the electric submersible pump can continuously, safely and stably operate for a long time, and the operation and maintenance cost is greatly reduced.
The technical purpose of the invention is realized by the following technical scheme: an intelligent monitoring system of an electric submersible pump based on the Internet of things comprises a data acquisition subsystem, a ground control subsystem and an Internet of things cloud platform, wherein the data acquisition subsystem is connected with the ground control subsystem;
the data acquisition subsystem is used for acquiring underground working condition data, frequency converter data and wellhead pipeline pressure data and transmitting the data to the ground control subsystem;
the ground control subsystem is used for comprehensively operating the underground working condition data, the frequency converter data and the inlet pipeline pressure data and transmitting the data to the Internet of things cloud platform so as to comprehensively monitor the oil extraction process;
the cloud platform of the Internet of things is used for storing the received underground working condition data, frequency converter data and wellhead pipeline pressure data and displaying the data at a terminal so that a user can monitor the running state of the submersible electric pump and wellhead production data in real time.
By adopting the technical scheme, the underground working condition data, the frequency converter data and the wellhead pipeline pressure data are collected in real time through the data collection subsystem, the underground working condition data usually comprise underground pressure, underground liquid level, underground environment temperature, motor X-Y axis vibration and the like, the data collection subsystem transmits the collected underground working condition data to the ground control subsystem in a power cable carrier mode, the frequency converter data mainly comprise output rotating speed, output voltage, output current, input voltage, output power, running state, accumulated running time, accumulated electric quantity and the like of the frequency converter, the wellhead pipeline pressure data mainly comprise collected wellhead pipeline pressure, and the frequency converter data and the wellhead pipeline pressure data are collected and transmitted to the ground control subsystem through an RS485 communication line; the ground control subsystem carries out comprehensive operation on received underground working condition data, frequency converter data and wellhead pipeline pressure data, and remote transmission is carried out to thing networking cloud platform, the realization is to the comprehensive control of oil recovery process, thing networking cloud platform passes through GPRS with data transmission to cloud ware storage, and show at the terminal, thereby make the user can remove terminal real time monitoring oil recovery equipment's running state and well head production data such as end through web webpage or cell-phone, provide accurate real-time working condition data for the user. By the intelligent monitoring system provided by the invention, a user can monitor the operation condition of oil extraction equipment in real time, the safety and reliability of an oil extraction unit are enhanced, an electric submersible pump can continuously, safely and stably operate for a long time, and the operation and maintenance cost is greatly reduced.
As a further configuration of the invention: the data acquisition subsystem comprises an underground monitoring module, a vector frequency converter module and an underground pipeline pressure detection module, the ground control subsystem comprises a data acquisition controller, the underground monitoring module, the vector frequency converter module and the underground pipeline pressure detection module are all connected with the data acquisition controller, and the data acquisition controller is connected with the Internet of things cloud platform.
As a further configuration of the invention: the underground monitoring module comprises an underground sensor, a sensor control box and a sensor high-voltage box, the underground sensor is connected with the sensor control box, and the sensor control box is connected with the sensor high-voltage box and the data acquisition controller.
As a further configuration of the invention: the vector frequency converter module comprises a motor rotating speed control unit and a motor start-stop protection unit, wherein the motor rotating speed control unit is used for controlling and adjusting the rotating speed of the motor in forward rotation or reverse rotation, and the motor start-stop protection unit is used for automatically stopping the motor after detecting that the current exceeds a preset current protection value so as to protect the motor.
As a further configuration of the invention: the ground control subsystem comprises a control cabinet, an operation panel is arranged on the control cabinet, a control circuit is arranged in the control cabinet and comprises a main loop and a control loop, the main loop is connected with the control loop and used for providing a power supply for the submersible pump, and the control loop is used for controlling the operation of the intelligent monitoring system.
As a further configuration of the invention: the sensor high-voltage box is connected with the output end of the vector frequency converter module through the reactor.
As a further configuration of the invention: the control circuit comprises a temperature and humidity controller, a multifunctional instrument, a control power indicator, a local control branch, a 24V switching power supply and an operation state branch which are connected in parallel, the multifunctional instrument is connected with the main circuit, the two ends of the temperature and humidity controller are connected in parallel through a first switch, and the operation state branch comprises a forward rotation indicator, a reverse rotation indicator and a fault signal indicator which are connected in parallel.
As a further configuration of the invention: the temperature and humidity controller is connected with a condensation sensor, a temperature sensor, a cooling fan and a heating fan, and is used for automatically detecting and adjusting the temperature and humidity in the control cabinet.
As a further configuration of the invention: the Internet of things cloud platform comprises a cloud server and a terminal, the cloud server is remotely connected with the terminal, and the cloud server is wirelessly connected with the data acquisition controller through a GPRS.
The invention has the beneficial effects that:
1. gather the working condition data in the pit through the data acquisition subsystem in real time, converter data and well head pipeline pressure data, and transmit to the ground control subsystem, the ground control subsystem is with received working condition data in the pit, converter data and well head pipeline pressure data carry out the comprehensive operation, and remote transmission to thing networking cloud platform, realize the comprehensive control to the oil recovery process, provide accurate real-time working condition data and trouble automatic identification protect function for the user, thing networking cloud platform passes through GPRS with data transmission to cloud ware storage, and show at the terminal, thereby make the user can remove terminal real time monitoring oil production equipment's such as end operation state and well head production data through web webpage or cell-phone, provide accurate real-time working condition data for the user. By the intelligent monitoring system provided by the invention, a user can monitor the operation condition of oil extraction equipment in real time, the safety and reliability of an oil extraction unit are enhanced, an electric submersible pump can continuously, safely and stably operate for a long time, and the operation and maintenance cost is greatly reduced.
2. The motor start-stop protection unit comprises motor running state monitoring and motor fault state monitoring, a user can preset a protection value lower than rated current, and when the current exceeds the preset protection value, the motor is automatically controlled to stop, so that the motor is protected; pressure data are collected in real time through the underground pressure sensor, the data collection controller calculates the submergence degree according to the received pressure data, the intelligent monitoring system automatically adjusts the rotating speed of the submersible motor through the motor rotating speed control unit, dry pumping is prevented, abrasion of the submersible motor is avoided, and the service life of the submersible motor is prolonged.
3. The intelligent monitoring system provided by the invention integrates two modes of local control and remote control, and is more convenient and faster for user operation.
4. The ground control subsystem realizes the functions of motor start-stop protection, motor dry-grinding prevention, data acquisition and remote transmission, cable reflected wave processing and circuit leakage fault alarm protection through the main loop and the control loop, and greatly improves the safety and the stability of the oil extraction equipment.
5. The Internet of things cloud platform transmits data to the cloud server for storage through GPRS, and is displayed at terminals such as a web webpage or a mobile phone mobile terminal, the comprehensive monitoring of the oil extraction working process is realized, accurate real-time working condition data and fault automatic identification protection functions are provided for users, the users can remotely monitor and troubleshoot through a web or a mobile phone APP, digital management is realized, the safety and the reliability of oil extraction equipment are greatly enhanced, the annual management cost, the operation cost and the power consumption of each oil well are reduced, and the cost is saved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of the overall structure of an intelligent monitoring system of an electric submersible pump based on the internet of things;
fig. 2 is a schematic diagram of a main circuit of a control cabinet of the intelligent monitoring system of the electric submersible pump based on the internet of things;
fig. 3 is a schematic diagram of a control circuit of a control cabinet of the intelligent monitoring system of the electric submersible pump based on the internet of things.
In the figure, 1, a data acquisition subsystem, 11, a vector frequency converter module, 111, a motor start-stop protection unit, 112, a motor rotating speed control unit, 12, an underground monitoring module, 121, a sensor control box, 122, a sensor high-pressure box, 13 and an underground pipeline pressure detection module; 2. a ground control subsystem 21 and a data acquisition controller; 3. the system comprises an Internet of things cloud platform 31, a cloud server 32 and a terminal; 4. a main loop 41, an input end 42, an output end 43, a cut-off protection switch 44, a current transformer 45 and a reactor; 5. a control loop 51, a temperature and humidity controller 52, a multifunctional instrument 53, a control power indicator 54, a local control branch 55, a 24V switching power supply 56, an operation state branch 561, a forward rotation indicator 562, a reverse rotation indicator 563 and a fault signal indicator; 6. an oil-submersible motor.
Detailed Description
The technical solution of the present invention will be clearly and completely described below with reference to specific embodiments. It is to be understood that the described embodiments are merely a few embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without any inventive step, are within the scope of the present invention.
Referring to fig. 1, an intelligent monitoring system for an electric submersible pump based on the internet of things comprises a data acquisition subsystem 1, a ground control subsystem 2 and an internet of things cloud platform 3, wherein the data acquisition subsystem 1 is connected with the ground control subsystem 2, the ground control subsystem 2 is connected with the internet of things cloud platform 3, the data acquisition subsystem 1 is used for acquiring underground working condition data, frequency converter data and wellhead pipeline pressure data and transmitting the underground working condition data, the frequency converter data and the wellhead pipeline pressure data to the ground control subsystem 2, the ground control subsystem 2 is used for carrying out comprehensive operation on the underground working condition data, the frequency converter data and the inlet pipeline pressure data and transmitting the data to the internet of things cloud platform 3 so as to realize comprehensive monitoring of an oil production process, and the internet of things cloud platform 3 is used for storing the received underground working condition data, the frequency converter data and the wellhead pipeline pressure data, and displayed at the terminal 32 to enable the user to monitor the operation state of the submersible electric pump and the production data of the wellhead in real time.
Underground working condition data are collected in real time through a data collection subsystem 1, frequency converter data and wellhead pipeline pressure data, the underground working condition data generally comprise underground pressure, underground liquid level, underground environment temperature, motor X-Y axis vibration and the like, the data collection subsystem 1 transmits the collected underground working condition data to a ground control subsystem 2 through a power cable carrier mode, the frequency converter data mainly comprise output rotating speed, output voltage, output current, input voltage, output power, running state, accumulated running time, accumulated electric quantity and the like of a frequency converter, the wellhead pipeline pressure data mainly collect wellhead pipeline pressure, and the frequency converter data and the wellhead pipeline pressure data are collected through an RS485 communication line and transmitted to the ground control subsystem 2.
The ground control subsystem 2 will receive operating mode data in the pit, converter data and well head pipeline pressure data synthesize the operation, and remote transmission to thing networking cloud platform 3, realize the comprehensive control to the oil recovery process, thing networking cloud platform 3 passes through GPRS with data transmission to cloud ware 31 storage, and show at terminal 32, thereby make the user can long-rangely remove terminal 32 real time monitoring oil recovery equipment's such as end operation state and well head production data through web webpage or cell-phone, provide accurate real-time operating mode data for the user. By the intelligent monitoring system provided by the invention, a user can monitor the operation condition of oil extraction equipment in real time, the safety and reliability of an oil extraction unit are enhanced, an electric submersible pump can continuously, safely and stably operate for a long time, and the operation and maintenance cost is greatly reduced.
Referring to fig. 1, the data acquisition subsystem 1 includes downhole monitoring module 12, vector converter module 11 and downhole pipeline pressure detection module 13, and the ground control subsystem 2 includes data acquisition controller 21, and downhole monitoring module 12, vector converter module 11 and downhole pipeline pressure detection module 13 all are connected with data acquisition controller 21, and data acquisition controller 21 is connected with thing networking cloud platform 3.
The underground monitoring module 12 is used for collecting underground working condition data and transmitting the underground working condition data to the data acquisition controller 21, the vector frequency converter module 11 is used for collecting frequency converter data and transmitting the frequency converter data to the data acquisition module, the underground pipeline pressure detection module 13 is used for collecting oral pipeline pressure data and transmitting the oral pipeline pressure data to the data acquisition controller 21, the data acquisition controller 21 transmits the received underground working condition data, the frequency converter data and the oral pipeline pressure data to the Internet of things cloud platform 3 in a remote mode, a user can monitor the operation condition and the state of oil extraction equipment, the underground monitoring module, the vector frequency converter module 11, the underground pipeline pressure detection module 13 and the data acquisition controller 21 are matched, and the functions of data acquisition and data remote transmission of the operation of the submersible electric pump are achieved. Preferably, the frequency converter in the vector frequency converter module 11 is a vector frequency converter, and compared with a common frequency converter, the vector frequency converter has high control precision and large output torque at low rotating speed, so that the submersible motor 6 can obtain larger starting torque.
Referring to fig. 2, the downhole monitoring module 12 includes downhole sensors, a sensor control box 121, and a sensor high-pressure box 122, the downhole sensors are connected to the sensor control box 121, and the sensor control box 121 is connected to the sensor high-pressure box 122 and the data acquisition controller 21. The underground sensor comprises an underground pressure sensor, an underground temperature sensor, an underground liquid level sensor and an underground vibration sensor which are respectively used for measuring underground pressure, ambient temperature, motor temperature, oil liquid level, X-Y axis vibration of a motor and the like, measured data are transmitted to the sensor control box 121, the sensor control box 121 is connected with the data acquisition controller 21 through RS485 communication, and therefore received underground working condition data are transmitted to the data acquisition controller 21, and data acquisition and transmission are achieved.
Referring to fig. 2, the vector frequency converter module 11 includes a motor speed control unit 112 and a motor start/stop protection unit 111, the motor speed control unit 112 is configured to control and adjust the forward rotation speed or the reverse rotation speed of the submersible motor 6, and the motor start/stop protection unit 111 is configured to automatically stop the submersible motor 6 after detecting that the current exceeds a preset current protection value, so as to protect the submersible motor 6. The motor start-stop protection unit 111 comprises motor running state monitoring and motor fault state monitoring, a user can preset a protection value lower than rated current, and when the current exceeds the preset protection value, the submersible motor 6 is automatically controlled to stop, so that the submersible motor 6 is protected. Pressure data are collected in real time through the underground pressure sensor, the data collection controller 21 calculates the submergence degree according to the received pressure data, the intelligent monitoring system automatically adjusts the rotating speed of the submersible motor 6 through the motor rotating speed control unit 112, dry pumping is prevented, the submersible motor 6 is prevented from being abraded, and the service life of the submersible motor 6 is prolonged.
Referring to fig. 2 and 3, the ground control subsystem 2 includes a control cabinet, an operation panel is arranged on the control cabinet, a control circuit is arranged in the control cabinet, the control circuit includes a main loop 4 and a control loop 5, the main loop 4 is connected with the control loop 5, the main loop 4 is used for providing a power supply for the submersible pump, and the control loop 5 is used for controlling the operation of the intelligent monitoring system.
The intelligent monitoring system integrates two modes of local control and remote control, and is convenient and rapid for user operation. The operation panel is provided with a multifunctional instrument 52 panel, a temperature controller panel, a frequency converter control panel and corresponding operation buttons, so that a user can conveniently check corresponding information and operation on the local control cabinet. The main loop 4 adopts 660V alternating current for power supply, and provides a variable-frequency adjustable power supply for the submersible motor 6 through a vector frequency converter, so that the submersible motor 6 can work continuously and stably.
Referring to fig. 2, the main circuit 4 includes an input end 41 and an output end 42, the input end 41 is connected to a power supply, an incoming line end of the vector frequency converter module 11 is connected to the input end 41, an outgoing line end of the vector frequency converter module 11 is connected to the submersible motor 6 as the output end 42 of the main circuit 4, an open-circuit protection switch 43 and a current transformer 44 are connected in series between the incoming line end of the vector frequency converter module 11 and the input end 41, an electric reactor 45 is connected in series between the outgoing line end of the vector frequency converter module 11 and the submersible motor 6, and the sensor high-voltage box 122 is connected to the submersible motor 6.
When the power cable in the main loop 4 or the submersible motor 6 and other components have leakage faults, the power supply leakage part and the ground form a loop to generate leakage current, the current in the main loop 4 is increased, after an operator confirms that the leakage fault occurs in the main loop 4, the short-circuit protection switch can be cut off, the input end 41 of the main loop 4 is disconnected with the power supply, and then circuits and electronic elements in the submersible electric pump control circuit are checked and maintained, so that the safety of the operator and equipment is ensured, and the safety of the submersible electric pump control circuit is improved.
The current transformer 44 is arranged between the incoming line end of the vector frequency converter and the power supply, so that conducted interference of the vector frequency converter to the power grid can be reduced. Specifically, sensor control box 121 and sensor high-voltage box 122 are located ground, the input 41 of sensor control box 121 connects the power, the signal interface of sensor control box 121 and the signal interface connection of sensor high-voltage box 122, and this connecting wire is connected with the switch board shell, the shell ground connection of switch board, sensor high-voltage box 122 is connected with the star point lead-out wire of oily motor 6 of diving through the high-pressure coupling cable, the power carries out direct current power supply through vector converter and oily motor 6 of diving to monitoring module 12 in the pit, ensure that monitoring module 12 in the pit normally works, real-time detection monitors operating modes such as downhole pressure, temperature, liquid level, vibration.
Specifically, vector converter and sensor control box 121 all are connected with data acquisition controller 21 through the RS485 communication, and well head pressure detector includes well head pressure switch and well head pressure detection sensor, and data acquisition controller 21 is connected with well head pressure switch, and 24V power is connected to data acquisition controller 21 to guarantee that data acquisition controller 21 normally works, realize the collection of data and the teletransmission of data.
Referring to fig. 3, the control circuit 5 includes a reserved socket, a temperature and humidity controller 51, a multifunctional meter 52, a control power indicator 53, a local control branch 54, a 24V switching power supply 55, and an operating state branch 56, which are connected in parallel, the multifunctional meter 52 is connected to the main circuit 4, two ends of the temperature and humidity controller 51 are connected to the control circuit 5 in parallel through a first switch, and the operating state branch 56 includes a forward rotation indicator 561, a reverse rotation indicator 562, and a fault signal indicator 563, which are connected in parallel.
Specifically, multifunctional instrument 52 is connected with major loop 4, and insert RS485 communication line, detect vector converter's input voltage, power factor, data such as electric quantity, when major loop 4's input 41 and power intercommunication, control power indicator 53 is luminous, suggestion operating personnel control circuit has switched on this moment, can open and close the operation to latent oily motor 6 at any time, local control branch 54 is by toggle switch, a plurality of button switch and a plurality of relay series-parallel connection constitute, in the operating panel of local control cabinet, the corresponding button of user's accessible is operated, through local control branch 54, can realize motor corotation and contrarotation interlocking, thereby prevent the maloperation, ensure system safety.
Specifically, running state branch 56 includes corotation pilot lamp 561, reversal pilot lamp 562 and fault signal pilot lamp 563, when diving oily motor 6 and being in corotation state, corotation pilot lamp 561 is luminous, when diving oily motor 6 and being in reversal state, reversal pilot lamp 562 is luminous, make things convenient for operating personnel to in time acquire to the running state of diving oily motor 6, when converter or system break down, the switch closure of fault signal pilot lamp 563 branch switches on, fault pilot lamp 563 is luminous this moment, indicate that main loop 4 in the operating personnel switch board breaks down, prevent that operating personnel from contacting electrified switch board and causing personnel's damage, make things convenient for operating personnel to in time carry out corresponding salvage processing simultaneously, avoid the fault range to enlarge and cause further loss of property.
Referring to fig. 3, the temperature and humidity controller 51 is connected to a condensation sensor, a temperature sensor, a heat dissipation fan and a heating fan, and the temperature and humidity controller 51 is used for automatically detecting and adjusting the temperature and humidity in the control cabinet. The first pin and the second pin of the temperature and humidity controller 51 are connected with a condensation sensor, the third pin and the fourth pin are connected with a temperature sensor, the fifth pin and the sixth pin are respectively connected in parallel to the control loop 5 through a switch, the seventh pin and the eighth pin are connected with a heating fan, the ninth pin and the tenth pin are connected with a cooling fan, the temperature and the humidity in the control cabinet are detected through the condensation sensor and the temperature sensor, according to the measured temperature and humidity, the temperature and the humidity in the control cabinet are automatically adjusted through the cooling fan and the heating fan, so that the temperature and the humidity of the working environment of each component in the control cabinet are always in a normal range, the influence of severe environment on the component is avoided, and the service life of the control cabinet is prolonged.
Referring to fig. 1, the internet of things cloud platform 3 includes a cloud server 31 and a terminal 32, the cloud server is remotely connected to the terminal 32, and the cloud server 31 is wirelessly connected to the data acquisition controller 21 through GPRS. The internet of things cloud platform 3 transmits data to the cloud server 31 through GPRS for storage, a user can remotely monitor the operation state and wellhead production data of the oil extraction equipment in real time through a web page or a mobile phone mobile terminal, equipment faults can be found in time and automatic alarming can be achieved, equipment alarming parameter values can be set, the user can remotely control the starting and stopping of the oil extraction equipment, the internet of things cloud platform 3 automatically generates statistical reports and trend analysis curves of the operation parameters and the wellhead production data of the oil extraction unit according to the received data, and the user can conveniently obtain the data in real time.
The invention provides an intelligent monitoring system for an electric submersible pump based on an Internet of things platform, which integrates a computer technology, an Internet communication technology, a data acquisition technology and a sensor technology into a whole, realizes comprehensive monitoring of an oil extraction working process, provides accurate real-time working condition data for a user, and adopts an Internet of things intelligent cloud service, so that the user can remotely monitor and troubleshoot faults through a web or a mobile phone. The system adopts a modular design, a user can configure according to actual requirements, digital management of an oil extraction process is realized, underground temperature, pressure, liquid level and vibration detection monitoring is realized, extraction quantity can be adjusted according to underground liquid level change, closed-loop control of oil extraction equipment is realized, and the running state and wellhead production data of the oil extraction equipment can be remotely monitored in real time through a web webpage or a mobile phone mobile terminal.
Claims (9)
1. The utility model provides an oily charge pump intelligent monitoring system dives based on thing networking which characterized in that: the system comprises a data acquisition subsystem (1), a ground control subsystem (2) and an Internet of things cloud platform (3), wherein the data acquisition subsystem (1) is connected with the ground control subsystem (2), and the ground control subsystem (2) is connected with the Internet of things cloud platform (3);
the data acquisition subsystem (1) is used for acquiring underground working condition data, frequency converter data and wellhead pipeline pressure data and transmitting the data to the ground control subsystem (2);
the ground control subsystem (2) is used for comprehensively calculating the underground working condition data, the frequency converter data and the inlet pipeline pressure data and transmitting the data to the Internet of things cloud platform (3) so as to comprehensively monitor the oil extraction process;
the Internet of things cloud platform (3) is used for storing the received underground working condition data, frequency converter data and wellhead pipeline pressure data, and displaying the data at a terminal (32) so that a user can monitor the running state of the submersible electric pump and wellhead production data in real time.
2. The intelligent monitoring system for the electric submersible pump based on the internet of things as claimed in claim 1, characterized in that: the data acquisition subsystem (1) comprises an underground monitoring module (12), a vector frequency converter module (11) and an underground pipeline pressure detection module (13), the ground control subsystem (2) comprises a data acquisition controller (21), the underground monitoring module (12), the vector frequency converter module (11) and the underground pipeline pressure detection module (13) are connected with the data acquisition controller (22), and the data acquisition controller (22) is connected with the Internet of things cloud platform (3).
3. The intelligent monitoring system for the electric submersible pump based on the internet of things as claimed in claim 2, characterized in that: the downhole monitoring module (12) comprises a downhole sensor, a sensor control box (121) and a sensor high-pressure box (122), the downhole sensor is connected with the sensor control box (121), and the sensor control box (121) is connected with the sensor high-pressure box (122) and the data acquisition controller (22).
4. The intelligent monitoring system for the electric submersible pump based on the internet of things as claimed in claim 2, characterized in that: the vector frequency converter module (11) comprises a motor rotating speed control unit (112) and a motor start-stop protection unit (111), wherein the motor rotating speed control unit (112) is used for controlling and adjusting the rotating speed of the submersible motor (6) in forward rotation or reverse rotation, and the motor start-stop protection unit (111) is used for automatically stopping the submersible motor (6) after detecting that the current exceeds a preset current protection value so as to protect the submersible motor (6).
5. The intelligent monitoring system for the electric submersible pump based on the internet of things as claimed in claim 3, characterized in that: the ground control subsystem (2) comprises a control cabinet, an operation panel is arranged on the control cabinet, a control circuit is arranged inside the control cabinet and comprises a main loop (4) and a control loop (5), the main loop (4) is connected with the control loop (5), the main loop (4) is used for providing a power supply for the submersible pump, and the control loop (5) is used for controlling the operation of the intelligent monitoring system.
6. The intelligent monitoring system for the electric submersible pump based on the internet of things as claimed in claim 5, characterized in that: the main loop (4) comprises an input end (41) and an output end (42), the input end (41) is connected with a power supply, the wire inlet end of the vector frequency converter module (11) is connected with the input end (41), the wire outlet end of the vector frequency converter module (11) serves as the output end (42) of the main loop (4) and is connected with the submersible motor (6), a circuit breaking protection switch (43) and a current transformer (44) are connected between the wire inlet end of the vector frequency converter module (11) and the input end (41) in series, a reactor (45) is connected between the wire outlet end of the vector frequency converter module (11) and the submersible motor (6) in series, and the sensor high-voltage box (122) is connected with the wire outlet end of the vector frequency converter module (11) through the reactor (45).
7. The intelligent monitoring system for the electric submersible pump based on the internet of things as claimed in claim 5, characterized in that: the control circuit (5) comprises a temperature and humidity controller (51), a multifunctional instrument (52), a control power indicator (53), a local control branch (54), a 24V switching power supply (55) and a running state branch (56) which are connected in parallel, the multifunctional instrument (52) is connected with the main circuit (4), two ends of the temperature and humidity controller (51) are connected into the control circuit (5) in parallel through a first switch, and the running state branch (56) comprises a forward rotation indicator (561), a reverse rotation indicator (562) and a fault signal indicator (563) which are connected in parallel.
8. The intelligent monitoring system for the electric submersible pump based on the internet of things as claimed in claim 7, characterized in that: temperature humidity controller (51) are connected with condensation sensor, temperature sensor, radiator fan and heating fan, temperature humidity controller (51) are used for automated inspection and adjust the humiture in the switch board.
9. The intelligent monitoring system for the submersible electric pump based on the internet of things as claimed in any one of claims 1 to 8, wherein: thing networking cloud platform (3) include cloud ware (31) and terminal (32), cloud service with terminal (32) remote connection, cloud ware (31) with data acquisition controller (21) pass through GPRS wireless connection.
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| CN202011509454.3A CN112506121A (en) | 2020-12-18 | 2020-12-18 | Submersible electric pump intelligent monitoring system based on Internet of things |
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| CN202011509454.3A CN112506121A (en) | 2020-12-18 | 2020-12-18 | Submersible electric pump intelligent monitoring system based on Internet of things |
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Cited By (1)
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| CN115190381A (en) * | 2022-09-08 | 2022-10-14 | 大庆市华禹石油机械制造有限公司 | Oil extraction process management system based on PC terminal |
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