Pumping unit intelligent Internet of Things indicator diagram data acquisition system and method thereof

Abstract

The invention provides an intelligent Internet of Things indicator diagram data acquisition system and method for an oil pumping unit, and belongs to the technical field of oil pumping unit data acquisition. The oil pumping unit specifically comprises a base serving as a base, a walking beam is hinged to the base, and a horse head is hinged to one end of the walking beam; a beam hanger is installed on the side, away from the walking beam, of the horse head. The beam hanger comprises an upper lifting block and a lower pressing block, the upper lifting block is connected with the horse head through an upper hanging rope, and the lower pressing block is connected with a polished rod through a lower hanging rope; the lower pressing block is buckled in the upper lifting block; a power diagram data calibration module is installed between the lower pressing block and the upper lifting block in an extrusion mode. A plurality of jacking bolts are further installed in the lower pressing block in a threaded mode. The bottom of the jacking bolt abuts against the inner bottom face of the lifting block. According to the invention, the problems of short service life and high maintenance cost of a sensor in the existing indicator diagram data acquisition mode at present can be solved, and the problem of inaccurate data in the data acquisition of the current electrical indicator diagram method can be solved at the same time.

Description

Technical Field

[0001] The present invention belongs to the technical field of data acquisition, and more specifically, relates to an intelligent Internet of Things dynamometer card data acquisition system for pumping units and its method. Background Art

[0002] The dynamometer card is the most effective means to explain the pumping condition of the oil well pump (i.e., the deep well pump) of the pumping unit. It can not only reflect abnormal phenomena, but also comprehensively analyze and judge whether the working system of the oil well is reasonable, and whether the pumping equipment is suitable for the oil layer and the physical properties of the crude oil in combination with relevant data, so as to find out the reasons affecting the pump efficiency and formulate reasonable oil production process measures.

[0003] The dynamometer card of the pumping unit is a curve depicting the relationship between the load at the polished rod hanger point of the pumping unit and the polished rod displacement. The working environment of the oil well pump (i.e., the deep well pump) of the pumping unit is underground, and its working state cannot be seen. To understand its real working condition, the real-time change of the load at the polished rod hanger point is used, and it is converted into a curve and recorded by a dynamometer. Exactly one stroke forms a closed figure, and this figure is the dynamometer card.

[0004] For the acquisition of dynamometer card data, there are two existing methods: the actual measurement method and the indirect simulation method. Actual Measurement Method Measurements are carried out after installing devices such as load sensors and displacement sensors. That is, the displacement value of the polished rod is measured by the displacement sensor, the load value is measured by the load sensor, and then the data is transmitted to the processing unit for processing and outputting the dynamometer card.

[0005] Indirect Simulation Method The ground dynamometer card is inversed from the electric dynamometer card, and the actual load and displacement data are simulated and calculated using the electrical parameters of the motor (voltage, current, frequency, power).

[0006] The above two acquisition methods both have corresponding limitations: 1. The service life of the sensor is short The load sensor is used in the wild, exposed to wind, sun, rain, and has a relatively harsh working environment. The polished rod moves up and down reciprocally, causing wear to the sensor, resulting in a decrease in sensor accuracy or even failure, and needs to be frequently replaced. When replacing, the oil well will be shut down.

[0007] 2. The sensor needs to eliminate zero drift regularly, and the maintenance cost is high The load sensor is affected by the tensile force of alternating loads for a long time, and the displacement sensor is affected by vibration for a long time, and it is easy to have the phenomenon of zero drift, which needs to be adjusted regularly, otherwise data distortion will occur.

[0008] The data of the electric dynamometer card method is inaccurate The electric work diagram method of using the electrical parameters (voltage, current, frequency, power) of the motor to simulate and calculate the actual load and displacement data is inaccurate. Since the motor is not directly connected to the donkey head, but through intermediate links such as belts, pulleys, speed reducers, cranks, counterweights, connecting rods, and walking beams, within one operating stroke, affected by variables such as friction, transmission force, and the real-time position of the counterweight, the electrical parameters of the motor are not linear, and the gap between the finally obtained result and the actual result is relatively large. Summary of the Invention

[0009] In view of this, the present invention provides an intelligent Internet of Things work diagram data acquisition system and method for pumping units, which solves the problems of short service life of sensors and high maintenance costs existing in the existing work diagram data acquisition methods, and at the same time solves the problem of inaccurate data existing in the current data acquisition by the electric work diagram method.

[0010] The present invention is implemented as follows: When the work diagram data acquisition system is first installed, it is necessary to calibrate the system with the work diagram data calibration module to obtain the weighted value. Specifically, the work diagram data calibration module should be quickly installed in the suspension rope device pressing block under the suspension point of the donkey head of the pumping unit (during the installation process, there is no need to disassemble the suspension rope device, and the quick installation of the work diagram data calibration module can generally be completed in 10 minutes). After calibration, it can be quickly disassembled; The electrical parameter acquisition module is installed in the electrical control box, and the electrical parameter acquisition module is connected to the 485 communication port of the pumping unit motor frequency converter; The motor revolution detection Hall element is installed inside the pulley of the pumping unit motor. The data output of the Hall element is connected to the electrical parameter acquisition module. The work diagram data calibration module and the electrical parameter acquisition module send the data to the wireless communication module through the wireless antenna, process and weight the sampling data of the work diagram data calibration module and the electrical parameter acquisition module to obtain the one-to-one correspondence between the measured data and the electrical parameter data, and then disassemble the work diagram data calibration module; In this way, during the actual use process, only by collecting the electrical parameters of the pumping unit motor frequency converter and the revolutions of the pumping unit motor, the actual work diagram data of the pumping unit can be restored through the weighted data; The work diagram data calibration module only needs to be quickly installed and disassembled once and is not required to be used during normal data acquisition. After the first installation and calibration, it is not necessary to repeat the calibration during long-term use.

[0011] Furthermore, the pumping unit specifically includes a base as the foundation, a walking beam is hingedly installed on the base, and a donkey head is hingedly installed at one end of the walking beam; a suspension rope device is installed on the side of the donkey head away from the walking beam; The suspension device includes an upper lifting block and a lower pressing block. The upper lifting block is connected to the walking beam through an upper suspension rope, and the lower pressing block is connected to a polished rod through a lower suspension rope. The lower pressing block is buckled inside the upper lifting block. A dynamogram data calibration module is also installed between the lower pressing block and the upper lifting block by extrusion. A plurality of jacking bolts are also installed in the lower pressing block by threading. The bottom of the jacking bolt abuts against the inner bottom surface of the upper lifting block.

[0012] Further, the specific working process of the acquisition system is as follows: Step S1: Equipment installation and initialization. Rotate the jacking bolt clockwise. Using the supporting effect of the jacking bolt, increase the distance between the inner bottom surface of the upper lifting block and the inner top surface of the lower pressing block, place the dynamogram data calibration module therein, and then rotate the jacking bolt counterclockwise until the dynamogram data calibration module is clamped by the upper lifting block and the lower pressing block. Establish a data transmission channel between the dynamogram data calibration module, the tension sensor, and the angle sensor, and perform initialization processing on the dynamogram data calibration module, the tension sensor, and the angle sensor. Step S2: Data acquisition at the walking beam part. Use the tension sensor to obtain the tension value at the suspension point of the walking beam of the pumping unit to obtain tension data. Use the angle sensor to detect the angle between the walking beam and the vertical rod of the base to obtain angle data. Calculate the displacement data of the polished rod according to the angle data. During one stroke of the pumping unit, collect the tension data and displacement data, and send them to the wireless communication module through a wireless signal. The wireless communication module transmits the data to the digital processing module for calculation. Step S3: Data acquisition at the motor part. Use the electrical parameter acquisition module to collect corresponding data of the drive motor. The electrical parameter acquisition module is connected to the 485 communication port of the pumping unit motor frequency converter. The Hall element for detecting the number of motor revolutions is installed inside the pulley of the pumping unit motor. When the pumping unit motor operates, each rotation of the pulley will trigger the Hall element to generate an electrical pulse signal. Step S4: Data synchronization and data weighting processing. During one stroke of the pumping unit, when the polished rod moves from the upper dead point of the walking beam to the lower dead point of the walking beam and then back to the upper dead point of the walking beam, it corresponds to a change process of the angle data a1 to a2 and then from a2 to a1 of the dynamogram data calibration module. During each change process, the number of revolutions of the pumping unit motor is N. That is to say, for each change process of the pumping unit, the Hall element for detecting the number of motor revolutions sends N electrical signal pulses. Step S5: Calibration completed. Remove the dynamogram data calibration module, rotate the jacking bolt clockwise again, increase the distance between the upper lifting block and the lower pressing block again, and take out the dynamogram data calibration module. Step S6 collects the experimental data after detachment calibration and conducts data comparison; based on the comparison data, the result is output, and the comparison between the actual work diagram and the unweighted work diagram is simulated.

[0013] Furthermore, the initialization in step S1 specifically includes: the work diagram data calibration module uploads and saves data and clears local data, calibrates and zeroes the tension sensor, and calibrates and zeroes the angle sensor.

[0014] Furthermore, the obtaining of the polished rod displacement data in step S2 specifically includes: when the angle between the walking beam and the vertical rod of the base changes, the position of the polished rod will change correspondingly; since both the upper suspension rope and the lower suspension rope are rigid ropes, the displacement data of the polished rod is: L = 2Rsin(a2 - a1); where L is the relative displacement length of the polished rod, a1 is the angle at the upper dead point of the donkey head, a2 is the angle at the lower dead point of the donkey head, and R is the length of the walking beam.

[0015] Furthermore, in step S3, the output end of the Hall element is connected to the input end of the electrical parameter acquisition module. The electrical parameter acquisition module receives the electrical pulse signal and sends an electrical parameter data application to the pumping unit motor frequency converter through the 485 communication port; the pumping unit motor frequency converter receives the application and sends electrical parameters such as real-time current, voltage, apparent power, power factor, and torque to the electrical parameter acquisition module; the electrical parameter acquisition module sends the collected data to the wireless communication module, and the wireless communication module transmits the data to the digital processing module for calculation.

[0016] Furthermore, in step S4, during the first data change process of the pumping unit, the angle change of the work diagram data calibration module is (a2 - a1), and the angle change corresponding to each electrical signal pulse of the Hall element is: ∆a1 = (a2 - a1) / N; The value of the polished rod displacement corresponding to each electrical signal pulse is: ∆s1 = (2R×sin[(a2 - a1)]) / N; where N is the number of signals sent by the Hall element, and a1, a2 are the included angle values between the walking beam and the vertical rod of the base; Taking the number of electrical signal pulses N of the Hall element in the upper half stroke of the pumping unit as the sampling rate, the load data of the work diagram data calibration module and the electrical parameter data of the electrical parameter acquisition module are collected simultaneously. The actual work diagram and the electrical work diagram are synchronized into a coordinate system. Taking each sampling point as a unit, the current load data at each sampling point is E1, and the electrical parameter data is e1. Then the weighting value of this sampling point is W1 = E1 / e1. In this way, in the upper half stroke, all sampling point weighting arrays W1, W2,..., WN can be obtained.

[0017] Further, during the second data change process of the pumping unit in step S4, the angle change of the data calibration module is (a1 - a2), and the angle change corresponding to each electrical signal pulse of the Hall element is: ∆a1 = (a1 - a2) / N; The polished rod displacement value corresponding to each electrical signal pulse is: ∆s2 = (2R × sin[(a1 - a2)]) / N; Obtain the weighted arrays V1, V2, ……, VN of all sampling points in the lower stroke.

[0018] Further, in step S6, the pumping unit operates continuously, and the Hall element for detecting the number of motor revolutions is continuously triggered by the rotating motor pulley, continuously generating electrical signal pulses. Each time the electrical parameter acquisition module receives an electrical pulse signal, it sends an electrical parameter data application to the pumping unit motor frequency converter through the 485 communication port; After receiving the application, the pumping unit motor frequency converter sends electrical parameters such as real-time current, voltage, apparent power, power factor, and torque to the electrical parameter acquisition module; The electrical parameter acquisition module transmits the collected data to the digital processing module through the wireless communication module for centralized processing; The digital processing module continuously receives the electrical parameter data, synchronizes each electrical pulse signal according to the sampling rate, and performs corresponding weighted value multiplication calculations on the electrical parameter data of each node, so that the electrical parameter value of each node is restored to the actual load value, and accurately simulates the actual work diagram through the electrical parameter data.

[0019] The present invention further includes a host computer for a work diagram data acquisition system, wherein the host computer is applied to the above-mentioned intelligent Internet of Things work diagram data acquisition system for pumping units to process data on the operation of the pumping units.

[0020] The beneficial effects of the present invention are as follows: (1) The data acquisition system has a long service life All components are inside the electrical box, and are not subject to external forces and have no wear during use, and are not easily damaged.

[0021] (2) No need for regular adjustment It only needs to calibrate the data during the first installation, and no regular adjustment is required during subsequent use.

[0022] (3) Accurate data The electrical parameter data is calibrated using a standard calibrator to obtain the data weighted value, and the value is accurate and reliable. Description of the Drawings

[0023] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the attached drawings required for the embodiments. It should be understood that the following attached drawings only show some embodiments of the present invention, and thus should not be regarded as a limitation of the scope. For those of ordinary skill in the art, without creative efforts, other related attached drawings can also be obtained based on these attached drawings.

[0024] Figure 1 It is a schematic diagram of the overall system structure; Figure 2 It is an enlarged view of the suspension device below the donkey head; Figure 3 It is a flowchart of the method; Figure 4 It is a data transfer flowchart; Figure 5 It is a comparison between the dynamometer card and the actual operation dynamometer card in the unweighted state; In the attached drawings, the content represented by each English and label is as follows: 1. Donkey head; 2. Suspension device; 3. Rocker arm; 4. Polished rod; 5. Motor pulley; 11. Lower pressing block; 12. Upper lifting block; 13. Upper suspension rope; 14. Lower suspension rope; 15. Jacking bolt; 16. Dynamometer card data calibration module. Specific embodiments

[0025] In order to make the purpose, technical solutions and advantages of the present invention clearer, the following will further elaborate on the present invention in conjunction with the attached drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0026] As Figure 1 and 2 shown, it is an intelligent Internet of Things dynamometer card data acquisition system for pumping units provided by the present invention. The system specifically includes a donkey head 1 of the pumping unit. A suspension device 2 is installed below the suspension point of the donkey head 1 of the pumping unit. A polished rod 4 is connected below the suspension device 2; on one side of the donkey head 1 away from the suspension device 2, it is hinged to the support rod of the base of the system through a rocker arm 3, and at the same time, the donkey head 1 is hinged to the rocker arm 3. The suspension device 2 specifically includes two parts, a lower pressing block 11 and an upper lifting block 12. A dynamometer card data calibration module 16 is fixedly pressed between the lower pressing block 11 and the upper lifting block 12; there is also a jacking bolt 15 between the lower pressing block 11 and the upper lifting block 12; the jacking bolt 15 is threadedly installed on the lower pressing block 11 and penetrates through the lower pressing block 11; the bottom of the jacking bolt 15 abuts against the inner bottom surface of the upper lifting block 12.

[0027] The system includes a standard well - diagram data calibration module for quick installation and disassembly. An electrical parameter acquisition module, an RTU wireless communication module, and a digital processing module are also integrated in the well - diagram data calibration module. A Hall element for detecting the number of motor revolutions is further installed inside the inner side of the motor pulley 5.

[0028] During the working process of the pumping unit, the collected data is transmitted through the RTU wireless communication module (abbreviated as the wireless communication module).

[0029] In addition, the data acquisition system also includes a tension sensor for detecting the suspension point tension value of the donkey head 1 and an angle sensor for detecting the rotation angle of the walking beam 3 on the base. Both the tension sensor and the angle sensor are electrically connected to the well - diagram data calibration module 16.

[0030] Specifically, the present invention also provides a method for the intelligent Internet of Things well - diagram data acquisition system of the pumping unit, which specifically includes the following content: Step S1: Quick installation of the well - diagram data calibration module There is a suspension connector 2 below the suspension point of the donkey head 1 of the pumping unit. The suspension connector 2 is designed with two parts, a lower pressing block 11 and an upper lifting block 12 that can slide relatively up and down. The upper lifting block 12 is connected to the upper suspension rope 13, and the lower pressing block 11 is connected to the lower suspension rope 14. There is a jacking bolt 15 on the suspension connector 2. When the jacking bolt 15 is screwed clockwise, the length of the jacking bolt 15 between the lower pressing block 11 and the upper lifting block 12 increases, and the lower pressing block 11 and the upper lifting block 12 are pushed apart by the jacking bolt 15, increasing the intermediate space, and the well - diagram data calibration module 16 is placed in it; When the jacking bolt 15 is screwed counterclockwise, the length of the jacking bolt 15 in the area between the lower pressing block 11 and the upper lifting block 12 is reduced, and the space between the lower pressing block 11 and the upper lifting block 12 shrinks, so that the well - diagram data calibration module 16 is subjected to the pressure of the two parts of the lower pressing block 11 and the upper lifting block 12 and is fixed in the middle of the suspension connector 2.

[0031] Step S2: The well - diagram data calibration module 16 acquires data The well - diagram data calibration module 16 integrates two functions of load data transmission and angle data transmission, and can detect the tension of the suspension point of the oil machine donkey head 1 and the angle of the walking beam 3; There is a corresponding relationship between the angle data of the walking beam 3 and the displacement data of the polished rod 4: Let the upper dead - point angle of the donkey head 1 be a1, the lower dead - point angle of the donkey head 1 be a2, and R be the effective length of the walking beam. Then The displacement L of the polished rod 4 = 2Rsin(a2 - a1); During one stroke of the pumping unit, the load and displacement data are collected and sent to the wireless communication module through a wireless signal. The wireless communication module transmits the data to the digital processing module for calculation.

[0032] Step S3: The electrical parameter acquisition module and the motor revolution detection Hall element collect data The electrical parameter acquisition module is connected to the 485 communication port of the pumping unit motor frequency converter. The motor revolution detection Hall element is installed inside the pulley 5 of the pumping unit motor. When the pumping unit motor rotates, every time the pulley 5 rotates one circle, it will trigger the Hall element to generate an electrical pulse signal. The output end of the Hall element is connected to the input end of the electrical parameter acquisition module. When the electrical parameter acquisition module receives the electrical pulse signal, it sends an electrical parameter data application to the pumping unit motor frequency converter through the 485 communication port. After receiving the application, the pumping unit motor frequency converter sends electrical parameters such as real-time current, voltage, apparent power, power factor, and torque to the electrical parameter acquisition module. The electrical parameter acquisition module sends the collected data to the wireless communication module, and the wireless communication module transmits the data to the digital processing module for calculation.

[0033] Step S4: The dynamogram data calibration module 16 synchronizes data with the electrical parameter acquisition module and performs data weighting During one stroke of the pumping unit, when the polished rod 4 moves from the uppermost end (the top dead center of the donkey head 1) to the lowermost end (the bottom dead center of the donkey head 1), and then back to the uppermost end (the top dead center of the donkey head 1), it corresponds to a change process of the angle data a1 to a2 (upper half stroke), a2 to a1 (lower half stroke) of the dynamogram data calibration module 16. During the change process of each half stroke, the number of revolutions of the pumping unit motor is N. That is to say, within each half stroke of the pumping unit, the motor revolution detection Hall element sends N electrical signal pulses.

[0034] Within the upper half stroke of the pumping unit, the angle change of the dynamogram data calibration module 16 is (a2 - a1), and the angle change corresponding to each electrical signal pulse of the Hall element is: ∆a1 = (a2 - a1) / N; The value of the polished rod displacement corresponding to each electrical signal pulse is: ∆s1 = (2R×sin[(a2 - a1)]) / N; Wherein, R is the effective length of the walking beam 3.

[0035] Taking the number N of each electrical signal pulse of the Hall element within the upper half stroke of the pumping unit as the sampling rate, simultaneously collecting the load data of the dynamogram data calibration module 16 and the electrical parameter data of the electrical parameter acquisition module, synchronizing the actual dynamogram and the electrical dynamogram into one coordinate system, and taking each sampling point as a unit, obtaining the current load data of each sampling point as E1 and the electrical parameter data as e1. Then the weighting value of this sampling point is W1 = E1 / e1. In this way, within the upper half stroke, all sampling point weighting arrays (W1, W2,..., WN) can be obtained Similarly, within the lower half stroke of the pumping unit, the angle change of the dynamogram data calibration module 16 is (a1 - a2), and the angle change corresponding to each electrical signal pulse of the Hall element is: ∆a2 = (a1 - a2) / N; Each electrical signal pulse corresponds to the optical rod displacement value: ∆s2=(2R×sin[(a1-a2)]) / N; In the second half of the stroke, the current load data of the sampling point is E1', the electrical parameter data is e1', and the weighted value V1=E1' / e1' of the sampling point is obtained; Get the weighted array (V1, V2, ..., VN) of all sampling points in the second half stroke.

[0036] In the above process, the units of a1 and a2 are both angles.

[0037] Step S5: Rapid removal of the power diagram data calibration module 16 Tighten the lifting bolt 15 clockwise again to increase the distance between the upper lifting block 12 and the lower pressing block 11 again, and take out the power diagram data calibration module 16; After taking out, the jacking bolt 15 is screwed counterclockwise again to bring the upper lifting block 12 and the lower pressing block 11 of the rope hanger 2 closer together again.

[0038] Step S6: Collect electrical parameters, weight them and transmit power diagram data The pumping unit works continuously, and the motor turns detection Hall element is continuously triggered by the rotating motor pulley, continuously generating electrical signal pulses. Each time the electrical parameter acquisition module receives an electrical pulse signal, it sends an electrical parameter data request to the pumping unit motor inverter through the 485 communication port. The pumping unit motor inverter receives the application and sends real-time current, voltage, apparent power, power factor, torque and other electrical parameters to the electrical parameter acquisition module; The electrical parameter acquisition module transmits the collected data to the digital processing module through the wireless communication module for centralized processing; The digital processing module continuously receives electrical parameter data, synchronizes each electrical pulse signal according to the sampling rate, and multiplies the electrical parameter data of each node with the corresponding weighted value, so that the electrical parameter value of each node is restored to the actual load value, and the actual power diagram is accurately simulated through the electrical parameter data.

[0039] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. The intelligent Internet of Things dynamometer card data acquisition system for pumping units. The system specifically includes a base as the foundation. A walking beam (3) is hingedly installed on the base, and a pony head (1) is hingedly installed at one end of the walking beam (3). It is characterized in that A suspension hanger (2) is installed below the pony head (1). The suspension hanger (2) includes an upper lifting block (12) and a lower pressing block (11). The upper lifting block (12) is connected to the pony head (1) through an upper suspension rope (13), and the lower pressing block (11) is connected to a polished rod (4) through a lower suspension rope (14). The lower pressing block (11) is buckled inside the upper lifting block (12), and the lower pressing block (11) and the upper lifting block (12) can move relative to each other. A dynamometer card data calibration module (16) is installed between the lower pressing block (11) and the upper lifting block (12) by extrusion. A plurality of jacking bolts (15) are also threadedly installed on the lower pressing block (11). The jacking bolts (15) penetrate through the lower pressing block (11). The lowermost end of the jacking bolt (15) abuts against the inner bottom surface of the upper lifting block (12).

2. Method for collecting dynamometer card data of intelligent Internet of Things for pumping units, characterized in that, The method is applied to the intelligent Internet of Things dynamometer card data acquisition system for pumping units described in claim 1, and the specific content of the method is as follows: Step S1: Equipment installation and initialization. Rotate the jacking bolt (15) clockwise. Using the supporting effect of the jacking bolt (15), increase the distance between the upper lifting block (12) and the lower pressing block (11), place the dynamometer card data calibration module (16) therein, and then rotate the jacking bolt (15) counterclockwise to move the jacking bolt (15) outward until the lowermost end of the jacking bolt (15) no longer abuts against the inner bottom surface of the upper lifting block (12). At this time, the dynamometer card data calibration module (16) is clamped by the upper lifting block (12) and the lower pressing block (11). Establish a data transmission channel between the dynamometer card data calibration module (16), the tension sensor, and the angle sensor, and perform initialization processing on the dynamometer card data calibration module (16), the tension sensor, and the angle sensor. Step S2: Data acquisition at the pony head (1) part. Use the tension sensor to measure the tension value at the suspension point of the pony head (1) of the pumping unit to obtain tension data. Use the angle sensor to detect the angle between the walking beam (3) and the vertical rod of the base to obtain angle data. Calculate the displacement data of the polished rod (4) according to the angle data. During one stroke of the pumping unit, collect the tension data and displacement data, and send them to the wireless communication module through a wireless signal. The wireless communication module transmits the data to the digital processing module for calculation. Step S3: Data acquisition at the motor part. Use the electrical parameter acquisition module to collect corresponding data of the driving motor. The electrical parameter acquisition module is connected to the 485 communication port of the pumping unit motor frequency converter. The Hall element for detecting the number of rotations of the motor is installed inside the belt pulley (5) of the pumping unit motor. When the pumping unit motor operates, each rotation of the belt pulley will trigger the Hall element to generate an electrical pulse signal. Step S4: Data synchronization and data weighting processing. During one stroke of the pumping unit, as the polished rod (4) moves from the top dead center to the bottom dead center of the walking beam (1) and then back to the top dead center of the walking beam (1), the angle data of the dynamometer card data calibration module (16) changes from a1 to a2 and then from a2 to a1. During each stroke change process, the motor rotates N circles, and the Hall element sends N electrical signal pulses. Step S5: After calibration is completed, remove the dynamometer card data calibration module (16), re-tighten the jacking bolt (15) clockwise, increase the distance between the upper lifting block (12) and the lower pressing block (11) again, and take out the dynamometer card data calibration module (16). Step S6: Compare and output the results. Collect the experimental data after calibration and perform data comparison; output the results according to the comparison data, and simulate the comparison situation between the actual dynamometer card and the unweighted dynamometer card.

3. The intelligent Internet of Things dynamometer card data acquisition method for pumping units according to claim 2, characterized in that, Regarding the initialization in Step S1, it specifically includes: uploading and saving the data of the dynamometer card data calibration module (16) and clearing the local data, calibrating and zeroing the tension sensor, and calibrating and zeroing the angle sensor.

4. The intelligent Internet of Things dynamometer card data acquisition method for pumping units according to claim 2, characterized in that Regarding the acquisition of the displacement data of the polished rod (4) in Step S2, it specifically includes: when the angle between the walking beam (3) and the base vertical rod changes, the position of the polished rod (4) will change correspondingly; since both the upper suspension rope (13) and the lower suspension rope (14) are rigid ropes, the displacement data of the polished rod (4) is: L = 2R×sin(a2 - a1). Where L is the relative displacement length of the polished rod (4), a1 is the angle of the top dead center of the walking beam (1), a2 is the angle of the bottom dead center of the walking beam (1), and R is the length of the walking beam (3).

5. The intelligent Internet of Things dynamometer card data acquisition method for pumping units according to claim 2, characterized in that, In Step S3, the output end of the Hall element is connected to the input end of the electrical parameter acquisition module. The electrical parameter acquisition module receives the electrical pulse signal and sends an electrical parameter data application to the pumping unit motor frequency converter through the 485 communication port; the pumping unit motor frequency converter receives the application and sends electrical parameters such as real-time current, voltage, apparent power, power factor, and torque to the electrical parameter acquisition module; the electrical parameter acquisition module sends the collected data to the wireless communication module, and the wireless communication module transmits the data to the digital processing module for calculation.

6. The intelligent Internet of Things dynamometer card data acquisition method for pumping units according to claim 2, characterized in that In Step S4, during the first data change process of the pumping unit, the angle change of the dynamometer card data calibration module (16) is (a2 - a1), and the angle change corresponding to each electrical signal pulse of the Hall element is: ∆a1 = (a2 - a1) / N. The displacement value corresponding to each electrical signal pulse of the polished rod (4) is: ∆s2 = (2R×sin[(a2 - a1)]) / N, where a1 and a2 are both angle values. Where N is the number of signals sent by the Hall element, and a1 and a2 are the included angle values between the walking beam (3) and the base vertical rod. Taking the number of electrical signal pulses N of the Hall element in the upper half stroke of the pumping unit as the sampling rate, simultaneously collect the load data of the dynamometer card data calibration module (16) and the electrical parameter data of the electrical parameter acquisition module, synchronize the actual dynamometer card and the electrical dynamometer card into a coordinate system, and take each sampling point as a unit. Obtain the current load data of each sampling point as E1 and the electrical parameter data as e1, then the weighting value of this sampling point is W1 = E1 / e1. In this way, within the upper half stroke, all the weighted arrays of sampling points W1, W2, …… WN can be obtained.

7. The intelligent Internet of Things dynamometer card data acquisition method for pumping units according to claim 6, characterized in that, In step S4, during the second data change process of the pumping unit, the angle change of the dynamometer card data calibration module (16) is (a1 - a2), and the angle change corresponding to each electrical signal pulse of the Hall element is: ∆a1 = (a1 - a2) / N; The displacement value of the polished rod (4) corresponding to each electrical signal pulse is: ∆s2 = (2R×sin[(a1 - a2)]) / N, where a1 and a2 are both angle values; Within the lower half stroke, the current load data of the sampling point is E1’, and the electrical parameter data is e1’. The weighted value V1 = E1’ / e1’ of the sampling point is obtained All the weighted arrays of sampling points V1, V2, …… VN in the lower half stroke are obtained.

8. The intelligent Internet of Things dynamometer card data acquisition method for pumping units according to claim 2, characterized in that In step S6, the pumping unit operates continuously. The Hall element for detecting the number of motor revolutions is continuously triggered by the rotating motor pulley (5), continuously generating electrical signal pulses. Each time the electrical parameter acquisition module receives an electrical pulse signal, it sends an electrical parameter data application to the pumping unit motor frequency converter through the 485 communication port; The pumping unit motor frequency converter receives the application and sends electrical parameters such as real-time current, voltage, apparent power, power factor, torque, etc. to the electrical parameter acquisition module; The electrical parameter acquisition module transmits the collected data to the digital processing module through the wireless communication module for centralized processing; The digital processing module continuously receives the electrical parameter data, synchronizes each electrical signal pulse according to the sampling rate, and performs the corresponding weighted value multiplication calculation on the electrical parameter data of each node, so that the electrical parameter value of each node is restored to the actual load value, and accurately simulates the actual dynamometer card through the electrical parameter data.

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