Underground slurry permanent magnet power generation monitoring system and method

Abstract

The invention relates to the technical field of motor magnetic circuit parts, in particular to an underground slurry permanent magnet power generation monitoring system and method.The underground slurry permanent magnet power generation monitoring system comprises a data acquisition module and a permanent magnet energy-saving power generation monitoring module, and a drilling machine permanent magnet power generation control strategy is generated according to permanent magnet power generation information and slurry drilling information; the motor magnetic circuit component control module is used for generating an optimal control scheme according to the target magnetic circuit filtering component and the drilling machine permanent magnet power generation control strategy and executing a control instruction; the permanent magnet power generation control optimization module is used for optimizing the screening process of the target magnetic circuit filtering component according to the optimal effectiveness of the optimal control scheme; and the permanent magnet power generation control feedback module is used for optimizing a generation mode of a drilling machine permanent magnet power generation control strategy according to the slurry permanent magnet power generation balance. The slurry permanent magnet power generation efficiency is improved by filtering and detecting the gravel.

Description

Technical Field

[0001] The present invention relates to the technical field of motor magnetic circuit components, and in particular to an underground mud permanent magnet power generation monitoring system and method. Background Art

[0002] The performance of motor magnetic circuit components, as key components of power generation, directly affects the efficiency and stability of power generation. Large sand and gravel are often mixed in the mud. If they are not filtered, they will easily cause jamming after entering the power generation equipment, which will not only damage the equipment components, but may also cause shutdown accidents, seriously affecting production. Therefore, filtering large sand and gravel and preventing jamming detection and management are indispensable.

[0003] China Patent Publication No.: CN114928207A discloses an electromagnetic damping generator for oil drilling underground, including: a turbine, a permanent magnet generator part and an electromagnetic damper part. The electromagnetic damper part includes an electromagnetic damper rotor, an excitation coil, a bearing seat and a retaining ring for a hole. The electromagnetic damper rotor is fixed on the rotating shaft, and the excitation coil is fixed on the bearing seat through two left and right holes with retaining rings. The bearing seat is a magnetic conductive material that can act as an electromagnetic damper stator and can rotate in the generator housing. The excitation coil current comes from the power supply after full-wave rectification of the three-phase permanent magnet generator. The permanent magnet motor winding is wound on the permanent magnet motor stator, and the permanent magnet motor stator is axially fixed through the bearing seat and the bearing seat. However, this solution does not manage the motor magnetic circuit components, does not perform sand and gravel filtration detection, and is difficult to completely intercept large particles of sand and gravel. It is impossible to detect the hidden dangers of jamming in time, which will lead to frequent equipment failures, increase maintenance costs and production interruption risks, and cannot balance sand and gravel filtration and mud power generation. Summary of the invention

[0004] To this end, the present invention provides an underground mud permanent magnet power generation monitoring system and method to overcome the problems in the prior art of failure to perform sand and gravel filtration detection, difficulty in completely intercepting large-particle sand and gravel, failure to timely detect hidden dangers of jamming, resulting in frequent equipment failures, and low efficiency of mud permanent magnet power generation due to the inability to balance sand and gravel filtration and mud power generation.

[0005] To achieve the above objectives, on the one hand, the present invention provides a downhole mud permanent magnet power generation monitoring system, comprising:

[0006] Data acquisition module, used to collect magnetic circuit filter component information, filter jam information, permanent magnet power generation information, actual construction parameters and mud drilling information in real time;

[0007] A permanent magnet energy-saving power generation monitoring module is used to generate a permanent magnet power generation control strategy for a drilling rig according to permanent magnet power generation information and mud drilling information, and is also used to calculate the optimal efficiency of mud power generation and optimize the permanent magnet power generation control strategy for the drilling rig, and is also used to analyze the volatility of permanent magnet power generation and optimize the optimal efficiency of mud power generation;

[0008] A motor magnetic circuit component control module, used for screening the magnetic circuit filter components according to the magnetic circuit filter component information to obtain a target magnetic circuit filter component, and for generating an optimal control scheme according to the target magnetic circuit filter component and the drilling rig permanent magnet power generation control strategy, and generating and executing control instructions;

[0009] A permanent magnet power generation control optimization module, used to analyze the effectiveness of the optimal control scheme according to the number of controllable schemes, optimize the screening process of the target magnetic circuit filter component, and adjust the optimization method of the screening process of the target magnetic circuit filter component information according to the mud drilling information;

[0010] The permanent magnet power generation control feedback module is used to provide feedback on the balance of mud permanent magnet power generation and optimize the generation method of the drilling rig permanent magnet power generation control strategy.

[0011] Furthermore, the permanent magnet energy-saving power generation monitoring module is based on the pressure ΔP provided by the mud pump in the mud drilling information. pump , drill bit drilling speed N, drill bit pressure drop influence coefficient K bit , mud density ρ, drill bit diameter D bit , friction coefficient f, drill flow resistance coefficient ξ, speed influence index α, well depth L and hydraulic diameter D h Calculate the mud flow velocity v, set According to the mud flow rate v, the load resistance R in the permanent magnet power generation information, the permanent magnet generator blade speed ω, the permanent magnet generator blade proportional coefficient k 1 , the induced voltage U of the permanent magnet generator and the voltage constant k of the permanent magnet generator 2 Calculate the actual generator power P pmg ,set up The actual generator electric power P pmg With the ideal generator power P0 pmg A comparison is made and the matching of the permanent magnet power generation speed of the drilling rig is judged based on the comparison results.

[0012] Furthermore, when the permanent magnet energy-saving power generation monitoring module determines that the matching of the permanent magnet power generation speed of the drilling rig is mismatched, the permanent magnet power generation information and the mud drilling information are input into the expert strategy model as abnormal information, and the permanent magnet power generation control strategy is output.

[0013] Furthermore, the permanent magnet energy-saving power generation monitoring module compares the optimal efficiency of mud power generation with the preset optimal efficiency of mud power generation in the efficiency construction database, and determines the optimal construction parameters according to the comparison result.

[0014] Further, the permanent magnet energy-saving power generation monitoring module calculates the average construction parameter difference ΔX according to the actual drill bit speed A1 and the actual drill bit propulsion speed B1 in the actual construction parameters, the optimal drill bit speed A2 and the optimal drill bit propulsion speed B2 in the optimal efficiency of mud power generation, the preset drill bit speed deviation value ΔA0 and the preset drill bit propulsion speed deviation value ΔB0, and sets The average difference ΔX of the construction parameters is compared with the preset average difference ΔX0 of the construction parameters, and the contradiction between the actual construction parameters and the optimal construction parameters is judged according to the comparison results.

[0015] Furthermore, the permanent magnet energy-saving power generation monitoring module calculates the deviation rate β according to the actual power generation Ps and the theoretical power generation Pz in the power generation information of the drilling rig, and sets The deviation rate β is compared with the preset deviation rate β0, 1%≤β0≤15%, and the volatility of permanent magnet power generation is judged according to the comparison result, and the optimal efficiency of mud power generation is optimized according to the judgment result. The optimization method is to bring the deviation rate β as the fluctuation coefficient into the optimal efficiency simulation model of mud power generation, optimize the calculation method of the optimal efficiency simulation model of mud power generation, recalculate the optimal efficiency of mud power generation, output a new optimal efficiency of mud power generation, replace the optimal efficiency of mud power generation with the new optimal efficiency of mud power generation, and re-judge the contradiction between the actual construction parameters and the new optimal construction parameters corresponding to the new optimal efficiency of mud power generation.

[0016] Furthermore, the motor magnetic circuit component control module compares each individual item in the control margin item set Q = {q1, q2...qn} with the preset margin q0, judges the control margin situation of the magnetic circuit filter component corresponding to the individual item according to the comparison result, and screens the magnetic circuit filter component corresponding to the individual item according to the judgment result. When the individual item is greater than or equal to the preset margin q0, the motor magnetic circuit component control module determines that the control margin situation of the magnetic circuit filter component corresponding to the individual item is sufficient, and screens the magnetic circuit filter component corresponding to the individual item. The screening method is to mark the magnetic circuit filter component corresponding to the individual item as the target magnetic circuit filter component.

[0017] Furthermore, the permanent magnet power generation control optimization module compares the number of control schemes m generated by the optimal control scheme simulation model with the preset number of generated control schemes m0, judges the preferred effectiveness of the optimal control scheme based on the comparison result, and optimizes the screening process of the target magnetic circuit filter component information based on the judgment result, sets the optimization coefficient R=0.7, optimizes the preset margin q0 according to the optimization coefficient R, and the optimized preset margin is q0y, setting q0y=q0×R.

[0018] Furthermore, the permanent magnet power generation control optimization module calculates the drilling progress W according to the actual drilling depth L and the preset drilling depth L0 in the mud drilling information, and sets The drilling progress W is compared with the final drilling progress W0, and the necessity of optimizing the screening process of the target magnetic circuit filter component information is judged according to the comparison result, and the optimization method of the screening process of the target magnetic circuit filter component information is adjusted according to the judgment result. The adjustment method is to cancel the optimization of the screening process of the target magnetic circuit filter component information.

[0019] On the other hand, the present invention also provides a method for monitoring underground mud permanent magnet power generation, comprising:

[0020] Step S1, collecting actual construction parameters, magnetic circuit filter component information, filter jam information, permanent magnet power generation information and mud drilling information;

[0021] Step S2, monitoring the matching of the permanent magnet power generation speed of the drilling rig according to the permanent magnet power generation information and the mud drilling information, and generating a permanent magnet power generation control strategy according to the monitoring result;

[0022] Step S3, calculating the optimal efficiency of mud power generation according to the permanent magnet power generation information, and monitoring the contradiction of the permanent magnet power generation control of the drilling rig according to the actual construction parameters and the optimal construction parameters corresponding to the optimal efficiency of the mud power generation, and judging the contradiction conflict resolution mechanism according to the contradiction of the permanent magnet power generation control of the drilling rig, and optimizing the permanent magnet power generation control strategy of the drilling rig by using the contradiction conflict resolution mechanism;

[0023] Step S4, analyzing the volatility of permanent magnet power generation according to the drilling rig power generation information, and optimizing the optimal efficiency of mud power generation according to the volatility of permanent magnet power generation;

[0024] Step S5, screening the magnetic circuit filter component information according to the control margin of the magnetic circuit filter component in the magnetic circuit filter component information to obtain target magnetic circuit filter component information, and generating an optimal control scheme according to the target magnetic circuit filter component information and the drilling rig permanent magnet power generation control strategy, and generating a control instruction according to the optimal control scheme, and executing the control instruction;

[0025] Step S6, analyzing the preferred effectiveness of the optimal control scheme according to the number of controllable schemes, and optimizing the screening process of the target magnetic circuit filter component information according to the preferred effectiveness of the optimal control scheme;

[0026] Step S7, analyzing the necessity of optimizing the screening process of the target magnetic circuit filter component information according to the permanent magnet power generation drilling progress, and adjusting the optimization method of the screening process of the target magnetic circuit filter component information according to the necessity of optimizing the screening process of the target magnetic circuit filter component information;

[0027] Step S8 is used to provide feedback on the balance of mud permanent magnet power generation according to the filtered jamming information, permanent magnet power generation information and mud drilling information, and optimize the generation method of the drilling rig permanent magnet power generation control strategy according to the mud permanent magnet power generation balance.

[0028] Compared with the prior art, the beneficial effect of the present invention lies in that the system can collect magnetic circuit filtering component information, permanent magnet power generation progress information, filter jamming information, permanent magnet power generation information and mud drilling information in real time through the data acquisition module, ensuring that the system can obtain comprehensive and up-to-date information, and provide a reliable data basis for subsequent analysis, control and optimization. The permanent magnet energy-saving power generation monitoring module can monitor the matching of the drilling rig permanent magnet power generation speed according to the permanent magnet power generation information and mud drilling information, and generate corresponding control strategies, so that the permanent magnet power generation speed can be better matched with mud drilling, improve the power generation efficiency and the stability of the overall operation of the drilling rig, and calculate the optimal efficiency of mud power generation, and monitor and control contradictions according to the actual construction parameters and the optimal construction parameters, and then judge the conflict resolution mechanism and optimize the control strategy, which is helpful to make continuous adjustments in actual construction to achieve the best power generation effect and avoid efficiency reduction or equipment failure caused by control contradictions. Among them, the volatility of permanent magnet power generation is analyzed and the optimal efficiency of mud power generation is optimized, which can be suitable for In response to the power generation needs under different working conditions, the power generation efficiency and stability are further improved. The motor magnetic circuit component control module screens the magnetic circuit filter component information according to the control margin of the magnetic circuit filter component, generates and executes the optimal control scheme and control instructions after obtaining the target information, and realizes precise control of the magnetic circuit filter component, which can improve the operating efficiency and reliability of the magnetic circuit component and extend the service life of the component. The permanent magnet power generation control optimization module analyzes and optimizes the screening process of the target magnetic circuit filter component information from the two perspectives of the number of controllable schemes and the permanent magnet power generation drilling progress. It can flexibly adjust the screening strategy according to the actual situation, improve the effectiveness of the optimal control scheme, and make the control of the entire system more scientific and reasonable. The permanent magnet power generation control feedback module feedbacks the balance of mud permanent magnet power generation according to the filter jamming information, permanent magnet power generation information and mud drilling information, and optimizes the generation method of the drilling rig permanent magnet power generation control strategy, which helps to timely discover and solve the imbalance problems that occur in the power generation process, further improve the stability and reliability of the power generation system, and ensure the normal operation of the drilling rig. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is a schematic diagram of the structure of the underground mud permanent magnet power generation monitoring system of this embodiment;

[0030] Figure 2 It is a partial structural schematic diagram of the downhole drilling equipment of this embodiment;

[0031] Figure 3 Schematic diagram of the process of the underground mud permanent magnet power generation monitoring method of this embodiment. DETAILED DESCRIPTION

[0032] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; 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.

[0033] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0034] See also Figure 1 As shown, it is a structural schematic diagram of the downhole mud permanent magnet power generation monitoring system of this embodiment, and the system includes:

[0035] Data acquisition module, used to collect magnetic circuit filter component information, filter jam information, permanent magnet power generation information, actual construction parameters and mud drilling information in real time;

[0036] A permanent magnet energy-saving power generation monitoring module is used to generate a permanent magnet power generation control strategy for a drilling rig according to permanent magnet power generation information and mud drilling information, and is also used to calculate the optimal efficiency of mud power generation and optimize the permanent magnet power generation control strategy for the drilling rig, and is also used to analyze the volatility of permanent magnet power generation and optimize the optimal efficiency of mud power generation. The permanent magnet energy-saving power generation monitoring module is connected to the data acquisition module;

[0037] A motor magnetic circuit component control module, used for screening the magnetic circuit filter components according to the magnetic circuit filter component information to obtain a target magnetic circuit filter component, and also used for generating an optimal control scheme according to the target magnetic circuit filter component and the drilling rig permanent magnet power generation control strategy, and generating and executing control instructions, the motor magnetic circuit component control module is connected to the permanent magnet energy-saving power generation monitoring module;

[0038] A permanent magnet power generation control optimization module, used for analyzing the preferred effectiveness of the optimal control scheme according to the number of controllable schemes, optimizing the screening process of the target magnetic circuit filter component, and adjusting the optimization method of the screening process of the target magnetic circuit filter component information according to the mud drilling information, the permanent magnet power generation control optimization module is connected to the motor magnetic circuit component control module;

[0039] The permanent magnet power generation control feedback module is used to provide feedback on the balance of the mud permanent magnet power generation and optimize the generation method of the drilling rig permanent magnet power generation control strategy. The permanent magnet power generation control feedback module is connected to the permanent magnet energy-saving power generation monitoring module.

[0040] Specifically, the system is arranged in an underground sludge permanent magnet generator, and the data acquisition module can collect the magnetic circuit filtering component information, permanent magnet power generation progress information, filter jamming information, permanent magnet power generation information and mud drilling information in real time, so as to ensure that the system can obtain comprehensive and up-to-date information, and provide a reliable data basis for subsequent analysis, control and optimization. The permanent magnet energy-saving power generation monitoring module can monitor the matching of the drilling rig permanent magnet power generation speed according to the permanent magnet power generation information and mud drilling information, and generate corresponding control strategies, so that the permanent magnet power generation speed can be better matched with the mud drilling, and the power generation efficiency and the stability of the overall operation of the drilling rig can be improved. The optimal efficiency of mud power generation is calculated, and the control contradiction is monitored according to the actual construction parameters and the optimal construction parameters, so as to judge the conflict resolution mechanism and optimize the control strategy, which is helpful to make continuous adjustments in actual construction to achieve the best power generation effect and avoid efficiency reduction or equipment failure caused by control contradictions. Among them, the volatility of permanent magnet power generation is analyzed and the optimal efficiency of mud power generation is optimized, which can be suitable for In response to the power generation needs under different working conditions, the power generation efficiency and stability are further improved. The motor magnetic circuit component control module screens the magnetic circuit filter component information according to the control margin of the magnetic circuit filter component, generates and executes the optimal control scheme and control instructions after obtaining the target information, and realizes precise control of the magnetic circuit filter component, which can improve the operating efficiency and reliability of the magnetic circuit component and extend the service life of the component. The permanent magnet power generation control optimization module analyzes and optimizes the screening process of the target magnetic circuit filter component information from the two perspectives of the number of controllable schemes and the permanent magnet power generation drilling progress. It can flexibly adjust the screening strategy according to the actual situation, improve the effectiveness of the optimal control scheme, and make the control of the entire system more scientific and reasonable. The permanent magnet power generation control feedback module feedbacks the balance of mud permanent magnet power generation according to the filter jamming information, permanent magnet power generation information and mud drilling information, and optimizes the generation method of the drilling rig permanent magnet power generation control strategy, which helps to timely discover and solve the imbalance problems that occur in the power generation process, further improve the stability and reliability of the power generation system, and ensure the normal operation of the drilling rig.

[0041] Specifically, the mud drilling information refers to the drilling information of the downhole drilling equipment, and the mud drilling information includes the pressure provided by the mud pump, the drilling speed of the drill bit, the drill bit pressure drop influence coefficient, the mud density, the drill bit diameter, the friction coefficient, the drill bit flow channel resistance coefficient, the rotation speed influence index, the well depth, the hydraulic diameter and the actual drilling depth. In this embodiment, the pressure provided by the mud pump is collected by the downhole pressure sensor, the actual drilling depth and the well depth are collected by the downhole rangefinder, and the drill bit diameter and the drill bit pressure drop influence index are collected by the equipment parameters of the downhole drilling equipment. The coefficient, friction coefficient, drill flow resistance coefficient, and speed influence index are collected, the drill speed is collected by a drill speed measuring instrument, the mud density is collected by a mud density detector, and the hydraulic diameter is collected by a hydraulic diameter measuring instrument. The filter jamming information refers to the jamming condition of the mud when it passes through the magnetic circuit filter component. In this embodiment, the filter jamming information is collected by a filter jamming conductor. The permanent magnet power generation information refers to the power generation parameters of the permanent magnet generator. The permanent magnet power generation information includes load resistance, permanent magnet generator blade speed , the proportional coefficient of the permanent magnet generator blade, the induced voltage of the permanent magnet generator and the voltage constant of the permanent magnet generator. In this embodiment, the load resistance, the proportional coefficient of the permanent magnet generator blade, the induced voltage of the permanent magnet generator and the voltage constant of the permanent magnet generator are collected through the power generation parameters of the permanent magnet generator, and the blade speed collector is used to collect the blade speed of the permanent magnet generator. The magnetic circuit filter component information refers to the parameter information of the magnetic circuit filter component in the permanent magnet generator. The magnetic circuit filter component information includes the magnetic circuit filter component and the control margin corresponding to the magnetic circuit filter component. The magnetic circuit filter component is collected through the parameters of the magnetic circuit filter component in the downhole drilling equipment. The control margin corresponding to the magnetic circuit filter component is collected through the parameters of the magnetic circuit filter component in the downhole drilling equipment. The actual construction parameters refer to the construction parameters of the drill bit during downhole drilling. The actual construction parameters include the actual drill bit speed and the actual drill bit propulsion speed. In this embodiment, the actual drill bit speed in the actual construction parameters is collected through the drill bit speed measuring instrument, and the actual drill bit propulsion speed in the actual construction parameters is collected through the drill bit propulsion speed meter.

[0042] Specifically, the permanent magnet energy-saving power generation monitoring module is based on the pressure ΔP provided by the mud pump in the mud drilling information. pump , drill bit drilling speed N, drill bit pressure drop influence coefficient K bit , mud density ρ, drill bit diameter D bit , friction coefficient f, drill flow resistance coefficient ξ, speed influence index α, well depth L and hydraulic diameter D h Calculate the mud flow velocity v, set According to the mud flow rate v, the load resistance R in the permanent magnet power generation information, the permanent magnet generator blade speed ω, the permanent magnet generator blade proportional coefficient k 1, the induced voltage U of the permanent magnet generator and the voltage constant k of the permanent magnet generator 2 Calculate the actual generator power P pmg ,set up The actual generator electric power P pmg With the ideal generator power P0 pmg Compare and judge the matching of the permanent magnet generator speed of the drilling rig according to the comparison results, including:

[0043] When P pmg ≥P0 pmg When , the permanent magnet energy-saving power generation monitoring module determines that the matching of the permanent magnet power generation speed of the drilling rig is matched;

[0044] When P pmg <P0 pmg When the permanent magnet energy-saving power generation monitoring module determines that the matching of the permanent magnet power generation speed of the drilling rig is not matched.

[0045] Specifically, the drill bit pressure drop influence coefficient refers to a parameter used to measure the degree of influence of various factors on the drill bit pressure drop in the drilling project. This embodiment does not specifically limit the numerical setting method of the drill bit pressure drop influence coefficient. Those skilled in the art can freely set it, and only need to meet the calculation requirements of the mud flow rate. For example, the numerical value of the drill bit pressure drop influence coefficient can be set according to the size of the drill bit nozzle and the density of the drilling fluid sprayed from the nozzle. The friction coefficient refers to the coefficient that hinders the flow of mud generated by the interaction between the mud and the mud flowing through the pipeline. This embodiment does not specifically limit the numerical setting method of the friction coefficient. Those skilled in the art can freely set it, and only need to meet the calculation requirements of the mud flow rate. For example, the numerical value of the friction coefficient can be set according to the smoothness of the pipe wall of the pipeline. The speed influence index refers to a parameter used to measure the degree of influence of the drill bit speed on the drill bit pressure drop. This embodiment does not specifically limit the numerical setting method of the speed influence index. Those skilled in the art can freely set it, and only need to meet the calculation requirements of the mud flow rate. For example, the numerical value of the friction coefficient can be set according to the type and shape of the drill bit. The permanent magnet generator fan blade proportional coefficient refers to the single The change in the speed of the permanent magnet generator blade caused by the change in the mud flow rate, this embodiment does not specifically limit the numerical setting method of the permanent magnet generator blade proportional coefficient, and those skilled in the art can set it freely, as long as the calculation requirements of the actual generator power are met, such as the value of the permanent magnet generator blade proportional coefficient can be set according to the shape of the permanent magnet generator blade, the permanent magnet generator voltage constant is used to convert magnetic flux and speed into electromotive force, reflecting the ability of the generator to convert mechanical energy into electrical energy, this embodiment does not specifically limit the numerical setting method of the permanent magnet generator voltage constant, and those skilled in the art can set it freely, as long as the calculation requirements of the actual generator power are met, such as the value of the permanent magnet generator voltage constant can be set according to the number of turns of the permanent magnet generator coil, the ideal generator power refers to the preset value used to judge the matching of the permanent magnet generator speed of the drilling rig under the actual generator power, this embodiment does not specifically limit the numerical setting method of the ideal generator power, as long as the judgment of the matching of the permanent magnet generator speed of the drilling rig can be met, such as the ideal generator power can be set according to the power generation parameters of the permanent magnet generator.

[0046] Specifically, by calculating the mud flow rate, the actual generator electric power can be further calculated, and the actual generator electric power can be compared with the ideal generator electric power to determine the matching of the drilling rig's permanent magnet generator speed, and the permanent magnet generator control strategy can be generated based on the matching of the drilling rig's permanent magnet generator speed.

[0047] Specifically, when the permanent magnet energy-saving power generation monitoring module determines that the matching of the permanent magnet power generation speed of the drilling rig is mismatched, the permanent magnet power generation information and the mud drilling information are input into the expert strategy model as abnormal information, and the permanent magnet power generation control strategy is output.

[0048] Specifically, the expert strategy model refers to a deep learning model that takes abnormal information as input and permanent magnet power generation control strategy as output. This embodiment constructs the expert strategy model through an expert strategy model construction method, wherein:

[0049] Step S10, collating the historical abnormal information in the expert database and the permanent magnet power generation control strategy corresponding to the historical abnormal information;

[0050] Step S20, dividing 70% of the data in the expert database into an expert strategy training set and 30% of the data in the expert database into an expert strategy verification set;

[0051] Step S30, selecting a multilayer perceptron as an expert strategy model, initializing the weights and biases of the expert strategy model, inputting the data in the expert strategy training set into the expert strategy model, and calculating the output of the expert strategy model;

[0052] Step S40, calculating the loss function value according to the output and label of the expert strategy model, calculating the gradient through the back propagation algorithm, and updating the weight and bias of the expert strategy model, repeating the process of forward propagation, loss function calculation and back propagation;

[0053] Step S50, and test the accuracy of the expert strategy model through the expert strategy verification set, and output the expert strategy model with an accuracy rate of 90%. The permanent magnet power generation control strategy refers to a control strategy for adjusting the parameters of the permanent magnet generator.

[0054] Specifically, the permanent magnet energy-saving power generation monitoring module divides the historical permanent magnet power generation information set and 70% of the optimal efficiency of mud power generation corresponding to the historical permanent magnet power generation information set into a simulation training set and the historical permanent magnet power generation information set and 30% of the optimal efficiency of mud power generation corresponding to the historical permanent magnet power generation information set into a simulation verification set, selects a recurrent neural network model as the neural network architecture of the mud power generation optimal efficiency simulation model, selects an Adam optimizer and a cross entropy loss function to train the recurrent neural network model, loads the simulation training set into the recurrent neural network model, performs forward propagation through the recurrent neural network model, calculates the output value of the mud power generation optimal efficiency simulation model, and calculates the output value of the recurrent neural network model according to the output value of the recurrent neural network model and the true value. Calculate the loss function value, calculate the gradient through the back propagation algorithm, and update the weight and bias of the recurrent neural network model, repeat the process of forward propagation, loss calculation and back propagation until the preset training round is reached, and verify the accuracy of the recurrent neural network model through the simulation verification set, and output the recurrent neural network model with an accuracy rate of 90% as the optimal efficiency simulation model of mud power generation, and input the permanent magnet power generation information collected in real time into the optimal efficiency simulation model of mud power generation, and output the optimal efficiency of mud power generation. The permanent magnet energy-saving power generation monitoring module compares the optimal efficiency of mud power generation with the preset optimal efficiency of mud power generation in the efficiency construction database, and judges the optimal construction parameters according to the comparison results, wherein:

[0055] When the optimal efficiency of mud power generation is inconsistent with the preset optimal efficiency of mud power generation in the efficiency construction database, determining that the construction parameters corresponding to the preset optimal efficiency of mud power generation are the optimal construction parameters;

[0056] When the optimal efficiency of mud power generation is consistent with the preset optimal efficiency of mud power generation in the efficiency construction database, the construction parameters corresponding to the preset optimal efficiency of mud power generation are determined to be the optimal construction parameters.

[0057] Specifically, the consistency between the optimal mud power generation efficiency and the preset mud power generation optimal efficiency in the efficiency construction database refers to the situation that the value of the optimal mud power generation efficiency is equal to the value of the preset mud power generation optimal efficiency in the efficiency construction database. In this embodiment, when judging the optimal construction parameters, if there is no preset mud power generation optimal efficiency consistent with the optimal mud power generation efficiency in the efficiency construction database, the permanent magnet energy-saving power generation monitoring module will use the preset mud power generation optimal efficiency with the smallest difference with the optimal mud power generation efficiency as the preset mud power generation optimal efficiency consistent with it. The optimal construction parameters refer to the optimal values ​​of the construction parameters corresponding to the optimal mud power generation efficiency, which include the optimal drill bit speed and the optimal drill bit advancement speed.

[0058] Specifically, the optimal efficiency of mud power generation refers to the optimal power generation efficiency of the permanent magnet generator based on the permanent magnet power generation information, the optimal construction parameters refer to the optimal values ​​of the downhole construction parameters corresponding to the optimal efficiency of mud power generation, the optimal drill bit speed refers to the optimal value of the drill bit speed in the optimal construction parameters, and the optimal drill bit advancement speed refers to the optimal value of the drill bit advancement speed in the optimal construction parameters.

[0059] Specifically, the permanent magnet energy-saving power generation monitoring module calculates the average construction parameter difference ΔX according to the actual drill bit speed A1 and the actual drill bit propulsion speed B1 in the actual construction parameters, the optimal drill bit speed A2 and the optimal drill bit propulsion speed B2 in the optimal efficiency of mud power generation, the preset drill bit speed deviation ΔA0 and the preset drill bit propulsion speed deviation ΔB0, and sets The average difference ΔX of the construction parameters is compared with the preset average difference ΔX0 of the construction parameters, and the contradiction between the actual construction parameters and the optimal construction parameters is judged according to the comparison results, where:

[0060] When ΔX≤ΔX0, the permanent magnet energy-saving power generation monitoring module determines that the contradiction between the actual construction parameters and the optimal construction parameters is not contradictory;

[0061] When ΔX>ΔX0, the permanent magnet energy-saving power generation monitoring module determines that the contradiction between the actual construction parameters and the optimal construction parameters is a contradiction.

[0062] Specifically, the actual drill bit speed refers to the actual speed of the drill bit in the actual construction parameters, and refers to the actual speed of the drill bit advancement in the actual construction parameters. The preset drill bit speed deviation value is a preset parameter for calculating the average difference of the construction parameters. This embodiment does not specifically limit the numerical setting method of the preset drill bit speed deviation value, and those skilled in the art can freely set it as long as the calculation requirements of the average difference of the construction parameters are met. For example, the numerical value of the preset drill bit speed deviation value can be set according to the type of drill bit and the construction environment, and 450r / min≤ΔA0≤750r / min is set. The preset drill bit advancement speed deviation value is a preset parameter for calculating the average difference of the construction parameters. This embodiment does not set the preset drill bit advancement speed The numerical setting method of the degree deviation value is specifically limited, and technical personnel in this field can set it freely, and it only needs to meet the calculation requirements of the mean difference of construction parameters. For example, the numerical value of the preset drill bit advancement speed deviation value can be set according to the type of drill bit and the construction environment, and 8m / h≤ΔB0≤15m / h is set. The preset construction parameter mean difference is a preset value for judging the contradiction between the actual construction parameters and the optimal construction parameters. This embodiment does not specifically limit the numerical setting method of the preset construction parameter mean difference value, and technical personnel in this field can set it freely, and it only needs to meet the requirements for judging the contradiction between the actual construction parameters and the optimal construction parameters. For example, the numerical value of the preset construction parameter mean difference can be set according to the construction environment, and 2%≤ΔX0≤5% is set.

[0063] Specifically, by calculating the mean difference of construction parameters, the contradiction between the actual construction parameters and the optimal construction parameters is judged, and based on the judgment results, a basis is provided for further adjusting the permanent magnet power generation control strategy, finding the deficiencies of the power generation control strategy and then adjusting it.

[0064] Specifically, when the permanent magnet energy-saving power generation monitoring module determines that the contradiction between the actual construction parameters and the optimal construction parameters is a contradiction, the historical actual construction parameter data set and 70% of the historical conflict solution set corresponding to the historical actual construction parameter data set are divided into a solution mechanism training set, and the historical actual construction parameter data set and 30% of the historical conflict solution set corresponding to the historical actual construction parameter data set are divided into a solution mechanism verification set, and a recurrent neural network model is selected as the neural network architecture of the conflict resolution mechanism model, and an Adam optimizer and a cross entropy loss function are selected to train the recurrent neural network model, and the solution mechanism training set is loaded into the recurrent neural network model, and forward propagation is performed through the recurrent neural network model. The output value of the conflict resolution mechanism model is calculated, the loss function value is calculated according to the output value and the true value of the recurrent neural network model, the gradient is calculated by the back propagation algorithm, and the weight and bias of the recurrent neural network model are updated, and the process of forward propagation, loss calculation and back propagation is repeated until the preset training rounds are reached, and the accuracy of the recurrent neural network model is verified by the resolution mechanism verification set, and the recurrent neural network model with an accuracy of 90% is output as the conflict resolution mechanism model, and the actual construction parameters collected in real time are input into the conflict resolution mechanism model, and the conflict resolution solution is output, and the conflict resolution solution is used as a new permanent magnet power generation control strategy to replace the permanent magnet power generation control strategy.

[0065] Specifically, the historical actual construction parameter data set refers to a data set composed of the actual construction parameters of all historical downhole drilling equipment collected, the historical conflict solution set refers to a collection of conflict solution solutions corresponding to all historical actual construction parameters, and the conflict solution refers to a solution that resolves the conflict by reasonably adjusting the parameter values ​​of the actual construction parameters based on the contradiction judgment results between the actual construction parameters and the optimal construction parameters.

[0066] Specifically, the permanent magnet energy-saving power generation monitoring module calculates the deviation rate β according to the actual power generation Ps and the theoretical power generation Pz in the power generation information of the drilling rig, and sets The deviation rate β is compared with the preset deviation rate β0, 1%≤β0≤15%, and the volatility of permanent magnet power generation is judged according to the comparison result, and the optimal efficiency of the mud power generation is optimized according to the judgment result, wherein:

[0067] When β≤β0, the magnetic energy-saving power generation monitoring module determines that the fluctuation of permanent magnet power generation is not fluctuating, and does not optimize the optimal efficiency of mud power generation;

[0068] When β>β0, the magnetic energy-saving power generation monitoring module determines that the volatility of permanent magnet power generation is fluctuation, and optimizes the optimal efficiency of mud power generation. The optimization method is to substitute the deviation rate β as the fluctuation coefficient into the optimal efficiency simulation model of mud power generation, optimize the calculation method of the optimal efficiency simulation model of mud power generation, recalculate the optimal efficiency of mud power generation, output a new optimal efficiency of mud power generation, replace the optimal efficiency of mud power generation with the new optimal efficiency of mud power generation, and re-judge the contradiction between the actual construction parameters and the new optimal construction parameters corresponding to the new optimal efficiency of mud power generation.

[0069] Specifically, the actual power generation refers to the actual power generation achieved by the permanent magnet generator, the theoretical power generation refers to the power generation that the permanent magnet generator should theoretically achieve, and the preset deviation rate is a preset value used to judge the volatility of permanent magnet power generation.

[0070] Specifically, by calculating the deviation rate and comparing it with the preset deviation rate, judging the volatility of permanent magnet power generation based on the comparison result, and optimizing the optimal efficiency of mud power generation based on the judgment result, the conflict resolution method can be further optimized.

[0071] Specifically, the motor magnetic circuit component control module combines the magnetic circuit filter component in the magnetic circuit filter component information and the control margin corresponding to the magnetic circuit filter component into a control margin item set Q = {q1, q2 ... qn}, where n is the total number of individual items q in the control margin item set Q, and compares each individual item in the control margin item set Q = {q1, q2 ... qn} with the preset margin q0, and judges the control margin of the magnetic circuit filter component corresponding to the individual item according to the comparison result, and screens the magnetic circuit filter component corresponding to the individual item according to the judgment result, wherein:

[0072] When the individual item is less than the preset margin q0, the motor magnetic circuit component control module determines that the control margin of the magnetic circuit filter component corresponding to the individual item is insufficient, and does not screen the magnetic circuit filter component corresponding to the individual item;

[0073] When an individual item is greater than or equal to the preset margin q0, the motor magnetic circuit component control module determines that the control margin of the magnetic circuit filter component corresponding to the individual item is sufficient, and screens the magnetic circuit filter component corresponding to the individual item. The screening method is to mark the magnetic circuit filter component corresponding to the individual item as the target magnetic circuit filter component.

[0074] Specifically, the individual item refers to an element in the control margin item set, and the elements in the control margin item set correspond to the magnetic circuit filter component. The preset margin is a preset value used to judge the control margin situation of the magnetic circuit filter component corresponding to the individual item. This embodiment does not specifically limit the numerical setting method of the preset margin, and technical personnel in this field can set it freely as long as it meets the judgment requirements of the control margin situation of the magnetic circuit filter component corresponding to the individual item. For example, the numerical value of the preset margin can be set according to the type of magnetic circuit filter component.

[0075] Specifically, by judging the control margin of the magnetic circuit filter component corresponding to the individual item, the magnetic circuit filter component that meets the preset margin is found, and the magnetic circuit filter component corresponding to the magnetic circuit filter component is marked as the target magnetic circuit filter component, so as to facilitate the subsequent control of the target magnetic circuit filter component, so as to achieve the purpose of generating the optimal control scheme and improve the power generation efficiency of the permanent magnet generator.

[0076] Specifically, the motor magnetic circuit component control module divides 70% of the historical target magnetic circuit filtering component set, the historical permanent magnet power generation control strategy set and the historical optimal control scheme set into a scheme simulation training set and a scheme simulation verification set of 30% of the historical target magnetic circuit filtering component set, the historical permanent magnet power generation control strategy set and the historical optimal control scheme set, selects a recurrent neural network model as the neural network architecture of the optimal control scheme simulation model, selects an Adam optimizer and a cross entropy loss function to train the recurrent neural network model, loads the scheme simulation training set into the recurrent neural network model, performs forward propagation through the recurrent neural network model, calculates the output value of the optimal control scheme simulation model, and calculates the output value of the recurrent neural network model according to the output value of the recurrent neural network model and the true value. The loss function value is calculated with real value, the gradient is calculated through the back propagation algorithm, and the weight and bias of the recurrent neural network model are updated. The process of forward propagation, loss calculation and back propagation is repeated until the preset training round is reached, and the accuracy of the recurrent neural network model is verified through the scheme simulation verification set. The recurrent neural network model with an accuracy of 90% is output as the optimal control scheme simulation model, and the real-time screened target magnetic circuit filtering component information and the control strategy output in real time by the expert strategy model are input into the optimal control scheme simulation model, and the optimal control scheme is output. The optimal control scheme is input into the PID control algorithm to generate control instructions, and the motor magnetic circuit component control module executes the control instructions.

[0077] Specifically, the optimal control scheme refers to the optimal power generation control scheme among all schemes generated by combining the target magnetic circuit filter component and the permanent magnet power generation control strategy. The PID control algorithm refers to a control algorithm that calculates the error between the set value and the actual output value of the system, and then generates a control signal to adjust the input of the system based on the calculation results of the three links of proportion, integration and differentiation, so that the actual output of the system is as close to the set value as possible. The control instruction refers to the control instruction obtained by inputting the optimal control scheme into the output of the PID control algorithm.

[0078] Specifically, the permanent magnet power generation control optimization module compares the number of control schemes m generated by the optimal control scheme simulation model with the preset number of generated control schemes m0, judges the preferred effectiveness of the optimal control scheme according to the comparison result, and optimizes the screening process of the target magnetic circuit filter component information according to the judgment result, wherein:

[0079] When m≥m0, the permanent magnet power generation control optimization module determines that the preferred effectiveness of the optimal control scheme is effective, and does not optimize the screening process of the target magnetic circuit filter component information;

[0080] When m<m0, the permanent magnet power generation control optimization module determines that the preferred effectiveness of the optimal control scheme is invalid, and optimizes the screening process of the target magnetic circuit filter component information, sets the optimization coefficient R=0.7, and optimizes the preset margin q0 according to the optimization coefficient R. The optimized preset margin is q0y, and q0y=q0×R is set.

[0081] Specifically, the number of control schemes generated by the optimal control scheme simulation model refers to the number of all control schemes generated by the optimal control scheme simulation model. The preset number of generated control schemes is a preset value used to judge the preferred effectiveness of the optimal control scheme. This embodiment does not specifically limit the setting method of the preset number of generated control schemes. Technical personnel in this field can set it freely as long as it meets the requirements for judging the preferred effectiveness of the optimal control scheme. For example, the value of the preset number of generated control schemes can be set according to the construction difficulty of the construction environment, and 6≤m0≤8 is set.

[0082] Specifically, by judging the preferred effectiveness of the optimal control scheme, the preferred effectiveness of the optimal control scheme is obtained, and the preset margin is optimized according to the preferred effectiveness of the optimal control scheme, and the refinement of the optimal control scheme is further optimized to make the generated optimal control scheme more appropriate.

[0083] Specifically, the permanent magnet power generation control optimization module calculates the drilling progress W according to the actual drilling depth L and the preset drilling depth L0 in the mud drilling information, and sets The drilling progress W is compared with the final drilling progress W0, and the necessity of optimizing the screening process of the target magnetic circuit filter component information is judged according to the comparison result, and the optimization method of the screening process of the target magnetic circuit filter component information is adjusted according to the judgment result, wherein:

[0084] When W<W0, the permanent magnet power generation control optimization module determines that the optimization necessity of optimizing the screening process of the target magnetic circuit filter component information is necessary, and does not adjust the optimization method of the screening process of the target magnetic circuit filter component information;

[0085] When W≥W0, the permanent magnet power generation control optimization module determines that the necessity of optimizing the screening process of the target magnetic circuit filter component information is unnecessary, and adjusts the optimization method of the screening process of the target magnetic circuit filter component information. The adjustment method is to cancel the optimization of the screening process of the target magnetic circuit filter component information.

[0086] Specifically, the actual drilling depth refers to the actual downhole depth of the drill bit, and the preset drilling depth is a preset value for calculating the drilling progress. The present embodiment does not specifically limit the setting method of the preset drilling depth, and technical personnel in this field can set it freely, and it only needs to meet the calculation requirements of the drilling progress. For example, the value of the preset drilling depth can be set according to the construction difficulty of the construction environment. The finishing drilling progress refers to the drilling progress embodiment value when the drilling progress is about to enter the completion and finishing stage. The present embodiment does not specifically limit the setting method of the finishing drilling progress, and technical personnel in this field can set it freely, and it only needs to meet the judgment requirements of the necessity of optimizing the screening process of the target magnetic circuit filter component information. For example, the value of the finishing drilling progress can be set according to the construction difficulty of the construction environment, and set 85%≤W0≤95%.

[0087] Specifically, by calculating the drilling progress, the specific progress of the drilling can be clearly known. When the drilling progress reaches the standard of the final drilling progress, there is no need to adjust the power generation control plan of the permanent magnet generator, thereby reducing unnecessary work and avoiding delays in the drilling progress.

[0088] Specifically, the permanent magnet power generation control feedback module divides the historical mud permanent magnet power generation balance data set and 70% of the balance coefficients corresponding to the historical mud permanent magnet power generation balance data set into a balance training set and the historical mud permanent magnet power generation balance data set and 30% of the balance coefficients corresponding to the historical mud permanent magnet power generation balance data set as a balance verification set, selects a recurrent neural network model as the neural network architecture of the mud permanent magnet power generation balance simulation model, selects an Adam optimizer and a cross entropy loss function to train the recurrent neural network model, loads the balance training set into the recurrent neural network model, performs forward propagation through the recurrent neural network model, calculates the output value of the mud permanent magnet power generation balance simulation model, and calculates the output value of the mud permanent magnet power generation balance simulation model based on the recurrent neural network model. The loss function value is calculated according to the output value and the true value of the recurrent neural network model, the gradient is calculated by the back propagation algorithm, and the weight and bias of the recurrent neural network model are updated, and the process of forward propagation, loss calculation and back propagation is repeated until the preset training round is reached, and the accuracy of the recurrent neural network model is verified by the balance verification set, and the recurrent neural network model with an accuracy rate of 90% is output as the mud permanent magnet power generation balance simulation model, and the real-time collected filtering jamming information, permanent magnet power generation information and mud drilling information are input into the mud permanent magnet power generation balance simulation model as mud permanent magnet power generation balance data, and the balance coefficient Er output by the mud permanent magnet power generation balance simulation model is obtained;

[0089] The balance coefficient Er is compared with the preset balance coefficient Er0, and the balance of the mud permanent magnet power generation is fed back according to the comparison result, where:

[0090] When Er≤Er0, the permanent magnet power generation control feedback module feeds back the balance of the mud permanent magnet power generation as balanced, and does not feed back the balance of the mud permanent magnet power generation;

[0091] When Er>Er0, the permanent magnet power generation control feedback module feeds back that the mud permanent magnet power generation balance is unbalanced, and uses the mud permanent magnet power generation balance data as an optimized expert strategy training set to optimize the expert strategy model in the generation method of the drilling rig permanent magnet power generation control strategy.

[0092] Specifically, the historical mud permanent magnet power generation balance data includes a historical filtering jam information set, a historical permanent magnet power generation information set and a historical mud drilling information set. The preset balance coefficient refers to a preset value of the balance coefficient used to judge the balance of mud permanent magnet power generation. This embodiment does not specifically limit the numerical setting method of the preset balance coefficient. Technical personnel in this field can set it freely as long as the judgment requirements for the balance of mud permanent magnet power generation are met. For example, the numerical value of the preset balance coefficient can be set according to the historical power generation data of the permanent magnet generator. The optimized expert strategy training set refers to an expert strategy training set used to optimize the expert strategy model training data.

[0093] like Figure 2 As shown, it is a schematic diagram of a part of the structure of the downhole drilling equipment of this embodiment, and the structure includes:

[0094] The drill bit 1 is used as the drilling body of the downhole drilling equipment for downhole drilling;

[0095] A mud pump 9 for providing water flow to the drilling location of the drill bit 1;

[0096] A downhole pressure sensor (not shown) is provided on the mud pump 9 and is used to collect the pressure provided by the mud pump 9;

[0097] The permanent magnet generator 2 is connected to the tail of the drill bit 1 and is used to recover the kinetic energy of the mud generated by the drill bit 1, convert the kinetic energy into electrical energy, and supply power to the drill bit;

[0098] A downhole rangefinder (not shown) is arranged at the front end of the permanent magnet generator 2 and is used to collect the actual drilling depth and well depth;

[0099] A drill bit speed measuring instrument (not shown in the figure) is arranged at the front end of the permanent magnet generator 2 and is used to collect the drill bit speed and the actual drill bit speed;

[0100] A mud density detector (not shown) is arranged at the front end of the permanent magnet generator 2 and is used to collect mud density;

[0101] The drill bit propulsion speed meter (not shown in the figure) is arranged at the front end of the permanent magnet generator 2 and is used to collect the actual drill bit propulsion speed;

[0102] The mud flow gate 6 is arranged at the front end of the permanent magnet generator 2, and controls the mud to flow into the permanent magnet generator by opening and closing the mud flow gate 6;

[0103] A hydraulic diameter measuring instrument (not shown) is provided on the mud flow gate 6 and is used to collect the hydraulic diameter;

[0104] The filter screen 3 is arranged between the mud flow gate 6 and the permanent magnet generator 2, and is used to filter the large stones in the mud to ensure the fluidity of the mud;

[0105] The adjustable filter hole 4 is arranged on the filter screen 3, and the size of the filtered impurities can be changed by adjusting the size of the filter hole;

[0106] A filter jammer (not shown in the figure) is arranged on the filter net and is used to collect filter jammer information;

[0107] The fan blade speed collector (not shown in the figure) is arranged inside the permanent magnet generator 2 and is used to collect the fan blade speed of the permanent magnet generator;

[0108] The permanent magnet generator blade 5 is arranged inside the permanent magnet generator 2 and is used to collect the kinetic energy of the mud;

[0109] The permanent magnet power generation component 10 is connected to the permanent magnet generator blade 5 and is used to convert the collected kinetic energy into electrical energy;

[0110] A permanent magnet generator controller 7, installed on the housing of the permanent magnet generator 2, for controlling the power generation parameters of the permanent magnet generator 2;

[0111] The underground mud permanent magnet power generation monitoring system 8 is connected to the permanent magnet power generation controller 7 and is used to monitor the power generation parameters and schemes of the permanent magnet generator 2.

[0112] See also Figure 3 As shown, it is a schematic diagram of the process of the downhole mud permanent magnet power generation monitoring method of this embodiment, and the method includes:

[0113] Step S1, collecting actual construction parameters, magnetic circuit filter component information, filter jam information, permanent magnet power generation information and mud drilling information;

[0114] Step S2, monitoring the matching of the permanent magnet power generation speed of the drilling rig according to the permanent magnet power generation information and the mud drilling information, and generating a permanent magnet power generation control strategy according to the monitoring result;

[0115] Step S3, calculating the optimal efficiency of mud power generation according to the permanent magnet power generation information, and monitoring the contradiction of the permanent magnet power generation control of the drilling rig according to the actual construction parameters and the optimal construction parameters corresponding to the optimal efficiency of the mud power generation, and judging the contradiction conflict resolution mechanism according to the contradiction of the permanent magnet power generation control of the drilling rig, and optimizing the permanent magnet power generation control strategy of the drilling rig by using the contradiction conflict resolution mechanism;

[0116] Step S4, analyzing the volatility of permanent magnet power generation according to the drilling rig power generation information, and optimizing the optimal efficiency of mud power generation according to the volatility of permanent magnet power generation;

[0117] Step S5, screening the magnetic circuit filter component information according to the control margin of the magnetic circuit filter component in the magnetic circuit filter component information to obtain target magnetic circuit filter component information, and generating an optimal control scheme according to the target magnetic circuit filter component information and the drilling rig permanent magnet power generation control strategy, and generating a control instruction according to the optimal control scheme, and executing the control instruction;

[0118] Step S6, analyzing the preferred effectiveness of the optimal control scheme according to the number of controllable schemes, and optimizing the screening process of the target magnetic circuit filter component information according to the preferred effectiveness of the optimal control scheme;

[0119] Step S7, analyzing the necessity of optimizing the screening process of the target magnetic circuit filter component information according to the permanent magnet power generation drilling progress, and adjusting the optimization method of the screening process of the target magnetic circuit filter component information according to the necessity of optimizing the screening process of the target magnetic circuit filter component information;

[0120] Step S8 is used to provide feedback on the balance of mud permanent magnet power generation according to the filtered jamming information, permanent magnet power generation information and mud drilling information, and optimize the generation method of the drilling rig permanent magnet power generation control strategy according to the mud permanent magnet power generation balance.

[0121] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A downhole mud permanent magnet power generation monitoring system, characterized in that: include: Data acquisition module, used to collect magnetic circuit filter component information, filter jam information, permanent magnet power generation information, actual construction parameters and mud drilling information in real time; A permanent magnet energy-saving power generation monitoring module is used to generate a permanent magnet power generation control strategy for a drilling rig according to permanent magnet power generation information and mud drilling information, and is also used to calculate the optimal efficiency of mud power generation and optimize the permanent magnet power generation control strategy for the drilling rig, and is also used to analyze the volatility of permanent magnet power generation and optimize the optimal efficiency of mud power generation; A motor magnetic circuit component control module, used for screening the magnetic circuit filter components according to the magnetic circuit filter component information to obtain a target magnetic circuit filter component, and for generating an optimal control scheme according to the target magnetic circuit filter component and the drilling rig permanent magnet power generation control strategy, and generating and executing control instructions; A permanent magnet power generation control optimization module, used to analyze the effectiveness of the optimal control scheme according to the number of controllable schemes, optimize the screening process of the target magnetic circuit filter component, and adjust the optimization method of the screening process of the target magnetic circuit filter component information according to the mud drilling information; The permanent magnet power generation control feedback module is used to provide feedback on the balance of mud permanent magnet power generation and optimize the generation method of the drilling rig permanent magnet power generation control strategy.

2. The underground mud permanent magnet power generation monitoring system according to claim 1 is characterized in that: The permanent magnet energy-saving power generation monitoring module is based on the pressure ΔP provided by the mud pump in the mud drilling information. pump , drill bit drilling speed N, drill bit pressure drop influence coefficient K bit , mud density ρ, drill bit diameter D bit , friction coefficient f, drill flow resistance coefficient ξ, speed influence index α, well depth L and hydraulic diameter D h Calculate the mud flow velocity v, set The actual generator power P is calculated according to the mud flow rate v, the load resistance R in the permanent magnet power generation information, the permanent magnet generator blade speed ω, the permanent magnet generator blade proportional coefficient k1, the permanent magnet generator induced voltage U and the permanent magnet generator voltage constant k2. pmg ,set up The actual generator power P pmg With the ideal generator power P0 pmg A comparison is made and the matching of the permanent magnet power generation speed of the drilling rig is judged based on the comparison results.

3. The underground mud permanent magnet power generation monitoring system according to claim 2 is characterized in that: When the permanent magnet energy-saving power generation monitoring module determines that the matching of the permanent magnet power generation speed of the drilling rig is mismatched, the permanent magnet power generation information and the mud drilling information are input into the expert strategy model as abnormal information, and the permanent magnet power generation control strategy is output.

4. The underground mud permanent magnet power generation monitoring system according to claim 3 is characterized in that: The permanent magnet energy-saving power generation monitoring module compares the optimal efficiency of mud power generation with the preset optimal efficiency of mud power generation in the efficiency construction database, and determines the optimal construction parameters according to the comparison result.

5. The underground mud permanent magnet power generation monitoring system according to claim 4 is characterized in that: The permanent magnet energy-saving power generation monitoring module calculates the average construction parameter difference ΔX according to the actual drill bit speed A1 and the actual drill bit propulsion speed B1 in the actual construction parameters, the optimal drill bit speed A2 and the optimal drill bit propulsion speed B2 in the optimal efficiency of mud power generation, the preset drill bit speed deviation value ΔA0 and the preset drill bit propulsion speed deviation value ΔB0, and sets The average difference ΔX of the construction parameters is compared with the preset average difference ΔX0 of the construction parameters, and the contradiction between the actual construction parameters and the optimal construction parameters is judged according to the comparison results.

6. The underground mud permanent magnet power generation monitoring system according to claim 5 is characterized in that: The permanent magnet energy-saving power generation monitoring module calculates the deviation rate β according to the actual power generation Ps and the theoretical power generation Pz in the drilling rig power generation information, and sets The deviation rate β is compared with the preset deviation rate β0, 1%≤β0≤15%, and the volatility of permanent magnet power generation is judged according to the comparison result, and the optimal efficiency of mud power generation is optimized according to the judgment result. The optimization method is to substitute the deviation rate β as the fluctuation coefficient into the optimal efficiency simulation model of mud power generation, optimize the calculation method of the optimal efficiency simulation model of mud power generation, recalculate the optimal efficiency of mud power generation, output a new optimal efficiency of mud power generation, replace the optimal efficiency of mud power generation with the new optimal efficiency of mud power generation, and re-judge the contradiction between the actual construction parameters and the new optimal construction parameters corresponding to the new optimal efficiency of mud power generation.

7. The underground mud permanent magnet power generation monitoring system according to claim 6 is characterized in that: The motor magnetic circuit component control module compares each individual item in the control margin item set Q = {q1, q2...qn} with the preset margin q0, judges the control margin of the magnetic circuit filter component corresponding to the individual item according to the comparison result, and screens the magnetic circuit filter component corresponding to the individual item according to the judgment result. When the individual item is greater than or equal to the preset margin q0, the motor magnetic circuit component control module determines that the control margin of the magnetic circuit filter component corresponding to the individual item is sufficient, and screens the magnetic circuit filter component corresponding to the individual item. The screening method is to mark the magnetic circuit filter component corresponding to the individual item as the target magnetic circuit filter component.

8. The underground mud permanent magnet power generation monitoring system according to claim 7 is characterized in that: The permanent magnet power generation control optimization module compares the number of control schemes m generated by the optimal control scheme simulation model with the preset number of generated control schemes m0, judges the preferred effectiveness of the optimal control scheme based on the comparison result, and optimizes the screening process of the target magnetic circuit filter component information based on the judgment result, sets the optimization coefficient R=0.7, optimizes the preset margin q0 according to the optimization coefficient R, and the optimized preset margin is q0y, setting q0y=q0×R.

9. The underground mud permanent magnet power generation monitoring system according to claim 8, characterized in that: The permanent magnet power generation control optimization module calculates the drilling progress W according to the actual drilling depth L and the preset drilling depth L0 in the mud drilling information, and sets The drilling progress W is compared with the final drilling progress W0, and the necessity of optimizing the screening process of the target magnetic circuit filter component information is judged according to the comparison result, and the optimization method of the screening process of the target magnetic circuit filter component information is adjusted according to the judgment result. The adjustment method is to cancel the optimization of the screening process of the target magnetic circuit filter component information.

10. A method applied to the downhole mud permanent magnet power generation monitoring system according to any one of claims 1 to 9, characterized in that: include: Step S1, collecting actual construction parameters, magnetic circuit filter component information, filter jam information, permanent magnet power generation information and mud drilling information; Step S2, monitoring the matching of the permanent magnet power generation speed of the drilling rig according to the permanent magnet power generation information and the mud drilling information, and generating a permanent magnet power generation control strategy according to the monitoring result; Step S3, calculating the optimal efficiency of mud power generation according to the permanent magnet power generation information, and monitoring the contradiction of the permanent magnet power generation control of the drilling rig according to the actual construction parameters and the optimal construction parameters corresponding to the optimal efficiency of the mud power generation, and judging the contradiction conflict resolution mechanism according to the contradiction of the permanent magnet power generation control of the drilling rig, and optimizing the permanent magnet power generation control strategy of the drilling rig by using the contradiction conflict resolution mechanism; Step S4, analyzing the volatility of permanent magnet power generation according to the drilling rig power generation information, and optimizing the optimal efficiency of mud power generation according to the volatility of permanent magnet power generation; Step S5, screening the magnetic circuit filter component information according to the control margin of the magnetic circuit filter component in the magnetic circuit filter component information to obtain target magnetic circuit filter component information, and generating an optimal control scheme according to the target magnetic circuit filter component information and the drilling rig permanent magnet power generation control strategy, and generating a control instruction according to the optimal control scheme, and executing the control instruction; Step S6, analyzing the preferred effectiveness of the optimal control scheme according to the number of controllable schemes, and optimizing the screening process of the target magnetic circuit filter component information according to the preferred effectiveness of the optimal control scheme; Step S7, analyzing the necessity of optimizing the screening process of the target magnetic circuit filter component information according to the permanent magnet power generation drilling progress, and adjusting the optimization method of the screening process of the target magnetic circuit filter component information according to the necessity of optimizing the screening process of the target magnetic circuit filter component information; Step S8 is used to provide feedback on the balance of mud permanent magnet power generation according to the filtered jamming information, permanent magnet power generation information and mud drilling information, and optimize the generation method of the drilling rig permanent magnet power generation control strategy according to the mud permanent magnet power generation balance.

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