CN107013458B - A kind of screw pump performance testing device and method - Google Patents
A kind of screw pump performance testing device and method Download PDFInfo
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- CN107013458B CN107013458B CN201710378352.4A CN201710378352A CN107013458B CN 107013458 B CN107013458 B CN 107013458B CN 201710378352 A CN201710378352 A CN 201710378352A CN 107013458 B CN107013458 B CN 107013458B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04C—ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT PUMPS
- F04C14/00—Control of, monitoring of, or safety arrangements for, machines, pumps or pumping installations
- F04C14/28—Safety arrangements; Monitoring
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
- G06F18/24133—Distances to prototypes
- G06F18/24137—Distances to cluster centroïds
- G06F18/2414—Smoothing the distance, e.g. radial basis function networks [RBFN]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Abstract
The present invention relates to oil field ground oil transportation field of engineering technology, belong to a kind of screw pump performance testing device and method, including test device and detection device and corresponding method.It is used for single-phase or two-phase medium simulated experiment, has the function of simply judging screw pump performance and optimization screw rod revolution speed.This test device and method can study screw pump performance under the conditions of different rotating speeds, pump inlet outlet pressure differential, viscosity of crude and pumped (conveying) medium gaseous mass score etc..Detection device, including sensor, PLC, host computer and frequency-conversion control cabinet are designed, for acquiring screw pump data information.Using the relative error method of revolving speed after actual measurement revolving speed and optimization, screw pump behavior pattern is judged.Device operation realizes semi-automation, and screw pump behavior pattern judgment method is simple and convenient, while the revolving speed pumped by negative feedback control method adjusting screw rod, and screw pump can be made to be in optimized operation state, extends pump service life.
Description
Technical field
The present invention relates to a kind of screw pump performance testing device and methods, belong to oil gas ground gathering-transferring technology field.
Background technique
Screw pump, can not be more comprehensive since screw pump performance testing device measurement factor is single in terms of performance detection
Understand behavior pattern of the screw pump under different operating conditions, thus can not find that early defect improves, and computer is imitative
True technology can not replace screw pump practical operation.
Screw pump needs science, objectively understands screw pump performance superiority and inferiority in parameter operational process, reduces artificial judgement
The probability of fault.Therefore, it is necessary to develop the simple and quick method for judging its performance superiority and inferiority to understand its situation in time；For screw pump
Rotational speed optimization control, extends its working life and is of great significance.
In the prior art, the applying date is the Chinese invention patent that February 02, notification number in 2016 are CN105649978A
Disclose a kind of single-screw (single screw) pump fault diagnosis and performance testing device and method.The single-screw (single screw) pump is in oil field ground gathering system
It is made of in block station terminal device and monitoring center；Terminal device carries out the switching of operating mode, operation according to control command
The acquisition of parameter and the adjusting of operating condition；Monitoring center realize the monitoring of single-screw (single screw) pump operating condition, the assigning of control command therefore
Barrier diagnosis and performance evaluation；It is realized and is wirelessly communicated by gateway node between terminal device and monitoring center.Pump performance test mould
Under formula, in-service single-screw (single screw) pump/non-in-service single-screw (single screw) pump may be implemented and pump performance test under general operating condition/limiting condition, completes
The performance parameters such as pump volumetric efficiency, shaft power, lift and gross efficiency calculate under different operating conditions, carry out performance curve on this basis
It draws and stores.
Summary of the invention
It is an object of the invention to avoid prior art screw pump test parameter is single, the judgement of pump efficiency performance superiority and inferiority not
Enough rapid, pump efficiency performances cannot adjust in time, the deficiency of reduced service life, provide one kind for screw pump in different operating condition items
Under device for detecting performance and function admirable judgement and rotational speed optimization control method.
The purpose of the present invention is what is be achieved through the following technical solutions: a kind of screw pump performance testing device, comprising: frequency modulation
Device 1, threephase asynchronous machine 2, shaft coupling 3, rotary speed torque sensor 4, screw pump rotor 5, the analysis of gamma-rays type crude oil rate
Instrument 6, screw pump 7, flow sensor 8, pipeline 9, the first shut-off valve 10, first pressure transmitter 11, electric control valve 12, three-phase
Separator 13, booster pump 14, mass flowmenter 15, fluid reservoir 16, electric heater 17, liquidometer 18, the second shut-off valve 19, temperature
Sensor 20, third shut-off valve 22, second pressure transmitter 23, the 4th shut-off valve 24, check valve 25, is adjusted oil-gas mixer 21
Save valve 26, pressure gauge 27, the 5th shut-off valve 28, gas flowmeter 29, pressure reducing valve 30, air accumulator 31 and compressor 32, the device
It further include the parameter monitor device being made of PLC33, host computer 34, frequency-conversion control cabinet 35 and sensor 36；
Threephase asynchronous machine 2 is connect with 1 electric wire of frequency modulator, and output end is linked by shaft coupling 3 and screw pump rotor 5；
Rotary speed torque sensor 4 is mounted in shaft；Gamma-rays type crude oil rate analyzer 6 is mounted on the pipe of 7 input end of screw pump
On line 9, flow sensor 8 is separately installed on the pipeline 9 at 7 import and export both ends of screw pump；First shut-off valve, 10 both ends pass through pipe
Line 9 is separately connected flow sensor 8 and first pressure transmitter 11；Electric control valve 12, three phase separator 13, booster pump 14,
Mass flowmenter 15 and fluid reservoir 16 are sequentially connected by pipeline 9；16 bottom of fluid reservoir with liquidometer 18 is equipped with electricity and adds
Hot device 17；Fluid reservoir 16, the second shut-off valve 19 and oil-gas mixer 21 are sequentially connected, and access pipeline 9；22 one end of third shut-off valve
It is connect with second pressure transmitter 23 by pipeline 9；4th shut-off valve, 24 one end and check valve 25, regulating valve the 26, the 5th are ended
28 one end of valve, gas flowmeter 29, pressure reducing valve 30, air accumulator 31 and compressor 32 are linked in sequence；Pipeline 9 is sequentially connected the 4th section
Only 24 one end of valve and check valve 25, regulating valve 26,28 one end of the 5th shut-off valve, gas flowmeter 29, pressure reducing valve 30, air accumulator 31
With compressor 32,28 one end of the 5th shut-off valve is connect with pressure gauge 27 by pipeline 9；PLC33 respectively with host computer 34, frequency control
Cabinet 35 is connected with sensor 36 by wired mode, frequency-conversion control cabinet 35, revolving speed frequency modulator 1, pump 7 and rotary speed torque sensor 4
Pass sequentially through wired mode connection.
Further, 6 structure of gamma-rays type crude oil rate analyzer, by the first detector 61, pipeline 62, γ is penetrated
Line emission source 63, signal condition and data processing module 64 and the second detector 65 composition；Gamma-ray projector 63 emits γ and penetrates
Line passes through gas-liquid two-phase medium, is counted by detector in projecting direction and 90 degree of directions, passes through signal condition and data processing mould
After block 64 carries out data processing, and then obtain the void fraction of blending agent.
Further, the sensor 36 includes rotary speed torque sensor 4, gamma-rays type crude oil rate analyzer 6, stream
Quantity sensor 8, pressure transmitter 11, pressure transmitter 23 and temperature sensor 20.
Further, the PLC33 include power supply 331, input module 332, CPU333, output module 334, bus 335,
Communication interface 336 and memory 337, power supply 331 are connect with input module 332 and output module 334, input module 332 and total
The connection of 335 single communication of line, CPU333, communication interface 336 and memory 337 are connect with 335 dual communication of bus.
Further, the composition of host computer 34 includes wearing clearance parameter setting module 341, screw rod revolution speed nerve net
The calculation optimization model 342 of network model, AC servo motor rotational speed control module 343, acquisition data computation module 344, other
Acquire data module 345, data Least Square in Processing module 346, storage print module 347 and chart display module 348；
Specifically, the wearing clearance parameter setting module 341 and acquisition data computation module 344 are screw rod revolution speed mind
Calculation optimization model 342 through network model provides parameter, and optimum results are transferred to AC servo motor rotational speed control module
343；It acquires data computation module 344 and other acquisition data modules 345 can be upper through data Least Square in Processing module 346
Print module 347 is stored on the machine of position and chart display module 348 operates.
Further, the present invention provides a kind of screw pump performance test methods, specifically includes the following steps:
(a) 31 stored air of air accumulator, fluid reservoir 13 are equipped with density 800kg/m3The thin oil for being 0.007Pas with viscosity；
The second shut-off valve 19 and the 4th shut-off valve 24 are opened, compressor 32, booster pump 14 and electric heater 17 are opened, controls to adjust valve 26
Aperture, make liquid gas oil-gas mixer 21 mix；
(b) control valve 19, valve 24, valve 26 and frequency modulator 1 give 7 one inlet and outlet pressures of screw pump and revolving speed；
Air and liquid mixer 21 is controlled, the gaseous mass score into the medium of screw pump 7 is given；
(c) rotary speed torque sensor 4 detects revolving speed n and torque T, 8 detection flows Q of flow sensor1, gamma-rays type crude oil
Void fraction analyzer 6 detects crude oil rate K, pressure transmitter 11, the detection pump of pressure transmitter 23 import and export pressure P0、PiAnd
The temperature t of the detection mixing liquid of temperature sensor 20；
(d) data calculation processing in host computer: formula η is utilizedν=Q/QTCalculate the volumetric efficiency η of screw pump 7ν；Formula W
=T π n/30 calculates pump shaft power W；Formula ηT=W0/ W calculates pump gross efficiency ηT；Utilize formulaCalculate effective power W0, wherein γLFor liquid phase medium severe, P0For pump discharge pressure
(MPa), PiIt is pump inlet void fraction, Q for pump inlet pressure (MPa), KLFor liquid phase medium volume flow (m3/s)；
(e) inlet and outlet pressure of screw pump 7 in (b), revolving speed and the gaseous mass score for entering screw pump 7 are changed the step,
It repeats step (d)；
(f) data point is fitted to by curve using least square method；
(g) torque Δ P~T, volumetric efficiency Δ P~η are drawn and shown respectively in host computerv, pump shaft power Δ P~W,
Pump gross efficiency Δ P~ηTFigure；
(h) in screw pump performance testing device, pressure transmitter 11, pressure transmitter 23 and temperature sensor 20 are detected
Pump end pressure P0、PiWith temperature t, viscosity of crude is according to oil product kinematic viscosity formula:
In formula, υt、υ0- temperature is t, t0When oil product kinematic viscosity, m2/s；μ-viscosity-temperature index, 1/ DEG C.Wearing clearance
Pass through manual setting in host computer；
(i) network training is carried out to RBF neural in the data-optimized module of host computer, then is acquired by sensor
Processing is optimized with the measured data of processing, obtains optimal solution；
(j) compare optimized rotating speed niWith actual measurement revolving speed nj, using revolving speed relative error methodJudge screw rod
Pump behavior pattern；Screw pump is in an optimal operating state, relative error ε=0；Screw pump is in preferably operating status, phase
To error ε ≈ 0；Screw pump remains static, relative error ε=1；
(k) actual measurement revolving speed biggish for relative error, host computer will optimize revolving speed and send frequency modulator to by PLC, adopt
With the method for negative feedback control, adjusting screw rod is pumped to optimized rotating speed.
Further, it includes following sub-step that the single-screw (single screw) pump RBF neural, which carries out network training:
I1: establishing RBF neural, and input layer is made of 4 neurons, including temperature, viscosity of crude, pump side pressure difference and
Wearing clearance.The number of RBF network hidden layer neuron should be corresponding with the number of input vector, and hidden node power function is
Gaussian function；Output layer is made of 1 neuron, exports optimized rotating speed.
I2: Basis Function Center C is sought based on K- means clustering method；Netinit: it randomly selects h training sample and makees
For cluster centre Ci(1,2 ..., h)；The training sample of input is grouped by Nearest Neighbor Method: according to XnIt is C with centeriBetween
Euclidean distance is by XnIt is assigned to each cluster set θ of input samplepIn (p=1,2 ..., p)；Readjust cluster centre: meter
Calculate each cluster set θpThe average value of middle training sample, i.e., new cluster centre CiIf new cluster centre no longer becomes
Change, then obtained CiThe as final Basis Function Center of RBF neural.
I3: variances sigma is solvedi.The basic function of RBF neural is Gaussian function, therefore variances sigmaiIt can be solved by following formula:
Wherein, i=1,2 ..., h；CmaxFor the maximum distance between selected center.
I4: the weight between hidden layer and output layer is calculated.The connection weight of hidden layer to neuron between output layer can
To be directly calculated with least square method, calculation formula is as follows:
In formula: p=1,2 ..., p；I=1,2 ..., h.
I5: initial data temperature, viscosity of crude, pump side pressure difference and wearing clearance are subjected to network instruction to RBF neural
Practice.
I6: temperature that the data and processing acquired in screw pump performance testing device obtain, viscosity of crude, pump side pressure are poor
It is transmitted to the optimization processing module of host computer, wearing clearance exports optimal turn under RBF neural processing by manual setting
Speed.
The beneficial effects of the present invention are:
1, the invention device can simulate operating condition of the screw pump under multi-parameter operation, and monitor processing data to subtract
The work load of light people, makes the research of screw pump performance closer to actual conditions and needs.
2, the inventive method can automatically handle partial parameters, can detect screw pump performance in time；What is used is opposite
Error approach, can form a prompt judgement screw pump performance superiority and inferiority situation；Simultaneously effective improve test efficiency.
3, the invention uses Neural network optimization, exports optimized rotating speed, is adjusted in time by negative feedback control method
Screw rod revolution speed is optimal screw pump operating status, extends the service life of screw pump.
Detailed description of the invention
Fig. 1 is the schematic diagram of screw pump performance simulation experimental provision under different operating conditions of the invention；
Fig. 2 is the schematic diagram of gamma-rays type crude oil rate analyzer of the invention；
Fig. 3 is screw pump performance detection and rotational speed optimization control system figure of the invention；
Fig. 4 is PLC internal structure chart of the invention；
Fig. 5 is host computer data processing structure figure of the invention；
Fig. 6 is screw pump performance simulation method flow diagram of the invention；
Fig. 7 is the schematic diagram of rotational speed optimization RBF neural network structure of the invention.
Specific embodiment
Technical solution of the present invention is described further with reference to the accompanying drawing, but the content that the present invention is protected is not limited to
In as described below.
Fig. 1 is the schematic diagram of screw pump performance simulation experimental provision under different operating conditions of the invention, frequency modulator 1, three-phase
Asynchronous machine 2, shaft coupling 3, rotary speed torque sensor 4, screw pump rotor 5, gamma-rays type crude oil rate analyzer 6, screw rod
Pump 7, flow sensor 8, pipeline 9, the first shut-off valve 10, first pressure transmitter 11, electric control valve 12, three phase separator
13, booster pump 14, mass flowmenter 15, fluid reservoir 16, electric heater 17, liquidometer 18, the second shut-off valve 19, temperature sensor
20, oil-gas mixer 21, third shut-off valve 22, second pressure transmitter 23, the 4th shut-off valve 24, check valve 25, regulating valve 26,
Pressure gauge 27, the 5th shut-off valve 28, gas flowmeter 29, pressure reducing valve 30, air accumulator 31 and compressor 32, the device further include by
The parameter monitor device that sensor 36, PLC33, host computer 34 and frequency-conversion control cabinet 35 form；
Threephase asynchronous machine 2 is connect with 1 electric wire of frequency modulator, and output end is linked by shaft coupling 3 and screw pump rotor 5；
Rotary speed torque sensor 4 is mounted in shaft；Gamma-rays type crude oil rate analyzer 6 is mounted on the pipe of 7 input end of screw pump
On line 9, flow sensor 8 is separately installed on the pipeline 9 at 7 import and export both ends of screw pump；First shut-off valve, 10 both ends pass through pipe
Line 9 is separately connected flow sensor 8 and first pressure transmitter 11；Electric control valve 12, three phase separator 13, booster pump 14,
Mass flowmenter 15 and fluid reservoir 16 are sequentially connected by pipeline 9；16 bottom of fluid reservoir with liquidometer 18 is equipped with electricity and adds
Hot device 17；Fluid reservoir 16, the second shut-off valve 19 and oil-gas mixer 21 are sequentially connected, and access pipeline 9；22 one end of third shut-off valve
It is connect with second pressure transmitter 23 by pipeline 9；4th shut-off valve, 24 one end and check valve 25, regulating valve the 26, the 5th are ended
28 one end of valve, gas flowmeter 29, pressure reducing valve 30, air accumulator 31 and compressor 32 are linked in sequence；Pipeline 9 is sequentially connected the 4th section
Only 24 one end of valve and check valve 25, regulating valve 26,28 one end of the 5th shut-off valve, gas flowmeter 29, pressure reducing valve 30, air accumulator 31
With compressor 32；5th shut-off valve, 28 one end is connect with pressure gauge 27 by pipeline 9.
Fig. 2 is the schematic diagram of gamma-rays type crude oil rate analyzer of the present invention, the first detector 61, pipeline 62,
Gamma-ray projector 63, signal condition and data processing module 64 and the second detector 65 composition.
31 stored air of air accumulator, fluid reservoir 13 are equipped with density 800kg/m3The thin oil for being 0.007Pas with viscosity；Its
Implementation steps can follow these steps to carry out:
The second shut-off valve 19 and the 4th shut-off valve 24 are opened, compressor 32, booster pump 14 and electric heater 17, control are opened
The aperture of regulating valve 26 mixes liquid gas in oil-gas mixer 21；
Control valve 19,24,26 and frequency modulator 1 give 7 one inlet and outlet pressures of screw pump and revolving speed；It is mixed to control gas-liquid
Clutch 21 gives the gaseous mass score into the medium of screw pump 7；
Fig. 3 be screw pump performance detection and rotational speed optimization control system figure, including revolving speed frequency modulator 1, screw pump 7,
PLC33, host computer 34, frequency-conversion control cabinet 35 and sensor 36, sensor 36 include rotary speed torque sensor 4, gamma-rays type original
Oily void fraction analyzer 6, flow sensor 8, pressure transmitter 11, pressure transmitter 23 and temperature sensor 20；PLC33 difference
It is connect with host computer 34, frequency-conversion control cabinet 35 and sensor 36 by wired mode, frequency-conversion control cabinet 35, revolving speed frequency modulator 1, pump
7, which pass sequentially through wired mode with rotary speed torque sensor 4, connects.
Fig. 4 is PLC internal structure chart, power supply 331, input module 332, CPU333, output module 334, bus 335, logical
Believe interface 336 and memory 337, the acquisition data of 332 receiving sensor of input module, output module transmission instructs, and communication connects
Mouth is connect with host computer.
Fig. 5 is host computer data processing structure figure；Wearing clearance parameter setting module 341, screw rod revolution speed neural network
The calculation optimization model 342 of model, AC servo motor rotational speed control module 343, acquisition data computation module 344, other adopt
Collect data module 345, data Least Square in Processing module 346, storage print module 347 and chart display module 348；
The wearing clearance parameter setting module 341 and acquisition data computation module 344 is screw rod revolution speed nerve net
The calculation optimization model 342 of network model provides parameter, and optimum results are transferred to AC servo motor rotational speed control module 343；It adopts
Collect data computation module 344 and other acquisition data modules 345 can be on host computer through data Least Square in Processing module 346
It stores print module 347 and chart display module 348 operates.
Fig. 6 is screw pump performance simulation method flow diagram, and steps are as follows:
N1: the relevant devices such as control valve, setting inlet and outlet pressure, revolving speed and dielectric gas mass fraction；
N2: screw pump sensing device monitoring parameters；
N3: data calculation processing and data least square method draw figure line；
N4: host computer screw pump performance graph is shown；
N5: host computer establishes RBF neural；
N6: network training is carried out；
N7: the acquisition of host computer data and manual setting；
N8: neural network exports optimized rotating speed ni；
N9: by actual measurement revolving speed nj and optimized rotating speed ni；
N10: judge revolving speed relative error within 0.30%
N11: terminate, otherwise by optimizing regulation revolving speed.
Rotational speed optimization method sub-step:
N12: host computer assigns speed-regulating instruction to PLC；
N13: frequency-conversion control cabinet receives PLC information, and assigns instruction to frequency converter；
N14: negative feedback control method, screw pump frequency converter adjusting screw rod revolution speed are taken；
N15: screw pump rotational speed regulation to revolving speed relative error is within 0.30%
N16: terminate.
Fig. 7 is the schematic diagram of rotational speed optimization RBF neural network structure, and initial data temperature, viscosity of crude, pump side pressure is poor
And wearing clearance carries out network training to RBF neural.
Rotary speed torque sensor 4 detects revolving speed n and torque T, 8 detection flows Q of flow sensor1, gamma-rays type crude oil contains
Gas rate analyzer 6 detects crude oil rate K, the detection pump of pressure transmitter 11,23 import and export pressure P0、PiAnd temperature sensor
The temperature t of 20 detection mixing liquids；
Utilize formula ην=Q/QTCalculate the volumetric efficiency η of screw pump 7ν, formula W=T π n/30 calculates pump shaft power W, public
FormulaEffective power W0, formula ηT=W0/ W calculates pump gross efficiency ηT；
Change the inlet and outlet pressure, revolving speed and the gaseous mass score for entering screw pump 7 of screw pump 7, monitoring is related again
Parameter；
The data that sensor acquires are transmitted to host computer by communication interface, in host computer data processing module, number
Data point is fitted to curve according to using least square method；Meanwhile the data that screw pump monitors are used for screw pump performance superiority and inferiority
The optimization of judgement and screw rod revolution speed.
Torque Δ P~T, volumetric efficiency Δ P~η are drawn respectivelyv, pump shaft power Δ P~W, pump gross efficiency Δ P~ηTFigure；
Initial data such as table 1 will be tested, for the training of rotational speed optimization RBF neural；In screw pump performance testing device
The data of middle acquisition are handled the optimization processing module that obtained temperature, viscosity of crude, pump side pressure difference are transmitted to host computer, abrasion
Gap exports optimized rotating speed, test result such as table 2 under RBF neural processing by manual setting；
1 initial data of table
2 test result of table
By the optimized rotating speed n exportediWith actual measurement revolving speed nj, using revolving speed relative error methodJudge spiral shell
Bar pumps behavior pattern, and error is smaller, and screw pump performance is better；According to actual speed situation, by analyzing relative error, measured value
It may determine that screw pump performance is excellent at [0,0.10%] with optimal value relative error ε；(0.10%, 0.20%] it may determine that spiral shell
Bar pump is functional；(0.20%, 0.30%] it may determine that screw pump performance is qualified, 0.30% or more, its performance is poor；Screw rod
At 0.30% or more, using close loop negative feedback control method, adjusting screw rod is pumped to optimized rotating speed pump.
Those of ordinary skill in the art will understand that the embodiments described herein, which is to help reader, understands this hair
Bright principle, it should be understood that protection scope of the present invention is not limited to such specific embodiments and embodiments.This field
Those of ordinary skill disclosed the technical disclosures can make according to the present invention and various not depart from the other each of essence of the invention
The specific variations and combinations of kind, these variations and combinations are still within the scope of the present invention.
Claims (9)
1. a kind of screw pump performance testing device, it is characterised in that: including frequency modulator (1), threephase asynchronous machine (2), shaft coupling
(3), screw pump rotor (5), gamma-rays type crude oil rate analyzer (6), screw pump (7), pipeline (9), the first shut-off valve
(10), first pressure transmitter (11), electric control valve (12), three phase separator (13), booster pump (14), mass flowmenter
(15), fluid reservoir (16), electric heater (17), liquidometer (18), the second shut-off valve (19), oil-gas mixer (21), third are cut
Only valve (22), second pressure transmitter (23), the 4th shut-off valve (24), check valve (25), regulating valve (26), pressure gauge (27),
5th shut-off valve (28), gas flowmeter (29), pressure reducing valve (30), air accumulator (31) and compressor (32)；Described device is also wrapped
Include the parameter monitor device being made of PLC (33), host computer (34), frequency-conversion control cabinet (35) and sensor (36)；The sensing
Device (36) includes rotary speed torque sensor (4), radial type crude oil rate analyzer (6), flow sensor (8), pressure inverting
Device (11,23) and temperature sensor (20)；
Threephase asynchronous machine (2) is connect with frequency modulator (1) by electric wire, and the output end of threephase asynchronous machine (2) passes through shaft coupling
(3) it is connect with screw pump rotor (5)；Rotary speed torque sensor (4) is mounted in shaft；Gamma-rays type crude oil rate analyzer
(6) it is mounted on the pipeline (9) of screw pump (7) input end, is fitted with stream on the pipeline (9) at screw pump (7) import and export both ends
Quantity sensor (8)；First shut-off valve (10) both ends are separately connected flow sensor (8) and first pressure pick-up by pipeline (9)
Device (11)；Electric control valve (12), three phase separator (13), booster pump (14), mass flowmenter (15) and fluid reservoir (16) are logical
Pipeline (9) is crossed to be sequentially connected；Fluid reservoir (16) bottom with liquidometer (18) is equipped with electric heater (17)；Fluid reservoir
(16), the second shut-off valve (19) and oil-gas mixer (21) are sequentially connected；Third shut-off valve (22) one end and second pressure pick-up
Device (23) is connected by pipeline (9)；4th shut-off valve (24) one end and check valve (25), regulating valve (26), the 5th shut-off valve
(28) one end, gas flowmeter (29), pressure reducing valve (30), air accumulator (31) and compressor (32) are linked in sequence；5th shut-off valve
(28) one end is connect with pressure gauge (27) by pipeline (9).
2. a kind of screw pump performance testing device according to claim 1, it is characterised in that: the gamma-rays type crude oil
Void fraction analyzer (6), including the first detector (61), pipeline (62), at gamma-ray projector (63), signal condition and data
Manage module (64) and the second detector (65).
3. a kind of screw pump performance testing device according to claim 1, characteristic value are: the PLC (33) includes
Power supply (331), input module (332), CPU (333), output module (334), bus (335), communication interface (336) and storage
Device (337), power supply (331) are connect with input module (332) and output module (334), input module (332) and bus (335)
Single communication connection, CPU (333), communication interface (336) and memory (337) are connect with bus (335) dual communication.
4. a kind of screw pump performance testing device according to claim 1, it is characterised in that: host computer (34) composition
Including wearing clearance parameter setting module (341), the calculation optimization model (342) of screw rod revolution speed neural network model, exchange
Servo motor rotational speed control module (343), acquisition data computation module (344), other acquisition data module (345), data are most
Small square law processing module (346), storage print module (347) and chart display module (348)；
The wearing clearance parameter setting module (341) and acquisition data computation module (344) is screw rod revolution speed nerve net
The calculation optimization model (342) of network model provides parameter, and optimum results are transferred to AC servo motor rotational speed control module
(343)；Data computation module (344) and other acquisitions data module (345) are acquired through data Least Square in Processing module
(346) print module (347) and chart display module (348) operation can be stored on host computer.
5. a kind of test method of screw pump performance testing device according to claim 1, which is characterized in that specific steps
Are as follows:
(a) air accumulator (31) stored air, fluid reservoir (16) are equipped with density 800kg/m3The thin oil for being 0.007Pas with viscosity；
The second shut-off valve (19) and the 4th shut-off valve (24) are opened, compressor (32), booster pump (14) and electric heater (17), control are opened
The aperture of regulating valve (26) processed mixes liquid gas in oil-gas mixer (21)；
(b) the second shut-off valve (19), the 4th shut-off valve (24), regulating valve (26) and frequency modulator (1) are adjusted, is given screw pump (7)
One inlet and outlet pressure and revolving speed；It controls air and liquid mixer (21), gives the gaseous mass point into the medium of screw pump (7)
Number；
(c) rotary speed torque sensor (4) detection revolving speed n and torque T, flow sensor (8) detection flows Q1；
(d) formula η is utilizedv=Q/QTCalculate the volumetric efficiency η of screw pump (7)v, pump shaft function is calculated using formula W=Τ π n/30
Rate W utilizes formula ηT=W0/ W calculates pump gross efficiency ηT；
(e) inlet and outlet pressure, revolving speed and the gaseous mass score into screw pump (7) of screw pump in (b) (7) are changed the step,
It repeats step (d)；
(f) torque Δ P~T, volumetric efficiency Δ P~η are drawn respectivelyv, pump shaft power Δ P~W, pump gross efficiency Δ P~ηTFigure；
(g) by screw pump performance testing device, gamma-rays type crude oil rate analyzer (6), pressure transmitter (11,23),
Temperature sensor (20) acquires data temperature as obtained by PLC (33) processing, viscosity of crude and pump side pressure difference and is transferred to containing meter
The host computer (34) of processing module is calculated, wearing clearance is by manual setting, by RBF nerve in the data-optimized module of host computer
Network method optimization algorithm obtains optimized rotating speed；
(h) compare optimized rotating speed niWith actual measurement revolving speed nj, using revolving speed relative error methodJudge screw pump
It can situation；
(i) method for using negative feedback control, adjusting screw rod are pumped to optimized rotating speed.
6. a kind of test method of screw pump performance testing device according to claim 5, it is characterised in that: each sensor
Screw pump out temperature, pressure, flow, torque and revolving speed are acquired, programmable controller PLC (33) processing is transferred to, by leading to
Module transfer is interrogated to host computer (34), can show torque, volumetric efficiency, pump shaft power and gross efficiency performance by calculating analysis
Curve, the performance curve are fitted to obtain screw pump performance curve using Matlab software least square method.
7. a kind of test method of screw pump performance testing device according to claim 5, it is characterised in that: RBF nerve
Network method Optimization Steps are as follows:
(1) RBF neural is established, input layer is made of 4 neurons, including temperature, viscosity of crude, pump side pressure difference and abrasion
Gap；The number of RBF network hidden layer neuron should be corresponding with the number of input vector, and hidden node power function is high
This function；Output layer is made of 1 neuron, exports optimized rotating speed；
(2) Basis Function Center c is sought based on K- means clustering method；Netinit: h training sample is randomly selected as poly-
Class center ci(1,2 ..., h)；The training sample of input is grouped by Nearest Neighbor Method: according to XnIt is c with centeriBetween Euclidean
Distance is by XnIt is assigned to each cluster set θ of input sampleΡIn (p=1,2 ..., p)；It readjusts cluster centre: calculating each
A cluster set θΡThe average value of middle training sample, i.e., new cluster centre ciIf new cluster centre is no longer changed,
Then obtained ciThe as final Basis Function Center of RBF neural, otherwise return step (2), into the center of next round
It solves；
(3) variances sigma is solvedi；The basic function of RBF neural is Gaussian function, therefore variances sigmaiIt can be solved by following formula:
Wherein, i=1,2 ..., h；cmaxFor the maximum distance between selected center；
(4) weight between hidden layer and output layer is calculated；The connection weight of hidden layer to neuron between output layer can be used
Least square method is directly calculated, and calculation formula is as follows:
In formula, p=1,2 ..., p；I=1,2 ..., h；
(5) initial data temperature, viscosity of crude, pump side pressure difference and wearing clearance are subjected to network training to RBF neural；
(6) temperature that the data and processing acquired in screw pump performance testing device obtain, viscosity of crude, pump side pressure difference transmission
To the optimization processing module of host computer, wearing clearance exports optimized rotating speed under RBF neural processing by manual setting.
8. a kind of test method of screw pump performance testing device according to claim 5, it is characterised in that: at screw pump
In optimal operating status, relative error ε=0；Screw pump is in preferably operating status, relative error ε ≈ 0；At screw pump
In stationary state, relative error ε=1；Optimized rotating speed niWith actual measurement revolving speed njIn screw pump rated speed nkIn range.
9. a kind of test method of screw pump performance testing device according to claim 5, which is characterized in that the screw pump
(7) outlet pressure is 6.0MPa~7.0MPa；Pumped (conveying) medium gaseous mass score is 0~0.9%；The revolving speed of screw pump (7)
For 100r/min~600r/min.
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| CN108984905B (en) * | 2018-07-17 | 2023-08-22 | 常州大学 | Screw pump production system design method based on optimal solution |
| CN109872247B (en) * | 2018-12-10 | 2021-04-02 | 清华大学 | Pump set characteristic curve fitting method |
| CN110005620B (en) * | 2019-05-18 | 2020-04-28 | 东北石油大学 | Electric submersible pump comprehensive performance test platform and test method thereof |
| US11225979B2 (en) | 2020-02-27 | 2022-01-18 | King Fahd University Of Petroleum And Minerals | Multiphase flow loop for pump performance evaluation |
| CN114838293B (en) * | 2022-06-08 | 2023-05-26 | 广东管辅能源科技有限公司 | Oil-gas mixing conveying energy-saving method and system |
| CN115030886B (en) * | 2022-06-08 | 2023-05-23 | 广东管辅能源科技有限公司 | Feedback type mixed transportation pressurizing system applied to mixed transportation of oil and gas |
| CN115364757B (en) * | 2022-08-31 | 2024-03-12 | 郑州沃华机械有限公司 | Online tackifying system for PBAT production based on dynamic mixer |
| CN115977937B (en) * | 2023-03-21 | 2023-06-16 | 江苏海迪威液压有限公司 | Hydraulic variable displacement pump with real-time detection function for hydraulic station |
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| CN201236786Y (en) * | 2008-08-07 | 2009-05-13 | 大庆油田力神泵业有限公司 | Performance detection testing bench for screw pump |
| CN102913430B (en) * | 2011-08-05 | 2015-09-09 | 中国石油化工股份有限公司 | Heavy oil transportation screw pump analog detection method and system |
| CN105649978B (en) * | 2016-02-02 | 2017-09-19 | 西南石油大学 | Single-screw (single screw) pump fault diagnosis and performance testing device and method |
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