133 results about "Control factor" patented technology

The invention relates to a reservoir porosity and permeability prediction method based on a dynamic committee integration model, and the method comprises the following steps: obtaining an original data set which comprises shale content, porosity, permeability, GR, AC, CNL, DEN, RT, RXO, SP, CALC, CALI, depth and lithologic labels; performing data enhancement on the original data set; determining main control factors influencing the porosity and the permeability; constructing a dynamic committee integration model; inputting the main control factors into a dynamic committee integration model; and utilizing the trained dynamic committee integration model to respectively predict the porosity and the permeability. According to the method, the logging data is processed by adopting a machine learning method, reservoir parameters can be efficiently and accurately predicted, and favorable support can be provided for oil-gas exploration and development; the dynamic committee integrated model constructed by the invention can dynamically adjust the weight of each model according to different geological conditions and data features, can more flexibly adapt to the geological condition of a research area compared with a single model, and improves the prediction precision and generalization of the model.

The invention discloses a shale gas well dessert prediction method and device based on integrated learning. The method comprises the steps of obtaining main control factors and feature data of a shale gas well to be predicted, and inputting the main control factors and the feature data into a trained dessert prediction model to obtain dessert prediction data; the model training process comprises the following steps: determining main control factors influencing the dessert according to the correlation between each parameter in the prediction data of the sampled shale gas well in the target area and the dessert; the prediction data comprises first data and second data, the first data comprises geological data, perforation data and oil and gas production data, and the second data comprises logging data and fracturing construction data; performing feature extraction on each parameter in the second data to obtain feature data; constructing a training data set according to the main control factors and the characteristic data of the shale gas well; and training the dessert prediction model based on the training data set. The accuracy of a prediction result can be improved, and fracturing design is effectively guided.

The invention relates to the technical field of welding, and particularly discloses an anti-fatigue welding process for a long-distance pipeline supporting steel structure. The process comprises the steps that a font groove structure is determined, and pre-welding polishing pretreatment and layered welding are conducted; fatigue samples of weld toe areas with different arc radiuses are collected, crack feature coordinates and stress concentration coefficients are extracted, failure modes are divided based on clustering, the arc radiuses are verified as main control factors of fatigue failure through multiple linear regression, and a core control range is determined by combining process capability indexes; carrying out fatigue verification on the basis of core parameter extension radius gradient, carrying out process compatibility matching in combination with a controllable interval and a thermal deformation interval of equipment, and outputting a radius candidate value through a response surface method; on-site construction constraints are collected, laboratory path space compatibility is analyzed, a formed track is optimized in a segmented mode, and constraint compensation factors are embedded. The anti-fatigue performance of the weld toe area of the supporting steel structure can be improved, and quality guarantee is provided for welding of the long-distance pipeline supporting steel structure.

The invention relates to an ultra-deep well perforation test combined operation tubular column safety evaluation method. The method comprises the following steps that S1, a packer lower portion perforation detonation annulus pressure evolution finite element model and a dynamic negative pressure evolution numerical model after perforation detonation are established; s2, establishing a perforation instant tubular column coupling impact vibration evolution model, and determining main control factors; s3, establishing a dynamic evolution numerical model of the shock absorber at the moment of perforation, and obtaining a dynamic evolution model of the lower oil pipe of the packer, the shock absorber and the perforating gun at the moment of perforation; and S4, evaluating the safety of the pipe column at the lower part of the packer by taking the Mises yield criterion as an evaluation standard. The influence of perforation detonation transient wellbore pressure and dynamic negative pressure on a lower tubular column system of the packer is fully considered, the dynamic response rule of the tubular column is disclosed through numerical simulation and theoretical analysis, risk control measures are put forward, and the safety of the packer is improved. Theoretical basis and technical support are provided for optimal design of an ultra-deep well perforation test combined operation scheme and safety of an oil testing process.

The invention discloses an anti-icing testing method, device and equipment for a super-hydrophobic surface structure of energy equipment and a storage medium, and relates to the technical field of super-hydrophobic surface testing. Designing a super-hydrophobic surface structure based on the environmental main control factor to obtain a structure parameter set; simulating the super-hydrophobic surface structure by using an environment load condition determined based on the environment working condition matrix and a structure parameter set to obtain an equipment critical vibration frequency, and determining a current surface structure morphology based on the structure parameter set and the equipment critical vibration frequency; and determining a morphology simulation error based on the current surface structure morphology and the actual surface structure morphology of the super-hydrophobic surface structure, and monitoring the super-hydrophobic surface structure based on the morphology simulation error, the structure parameter set, the equipment critical vibration frequency and the preset control mechanical excitation frequency to obtain the ice growth rate and the ice adhesion work. The efficiency of anti-icing testing of the super-hydrophobic surface structure is improved.

The invention relates to the technical field of railway earthquake safety, in particular to a rail-bridge system earthquake resistance evaluation method, a medium and equipment. The method comprises the following steps: establishing a finite element model of a track-bridge system; carrying out nonlinear time-history analysis on the track-bridge system under different working conditions; analyzing control factors of earthquake response of the track-bridge system; establishing a mapping relation between the seismic response of the track structure and the seismic response of the main beam; calculating the earthquake response of the main beam, and evaluating the earthquake displacement response of the track structure; and the anti-seismic evaluation of the track-bridge system is realized. Through the method, the method can be used for all high-speed railway bridge types and rails at present, the anti-seismic evaluation of the rail-bridge system based on the driving performance can be indirectly and quickly realized based on the mapping relation, a large amount of time-consuming and labor-consuming train-rail-bridge system finite element simulation calculation does not need to be carried out, and the calculation efficiency is improved. The efficiency is effectively improved, the cost is reduced, the calculation is simple and convenient, and the calculation result is accurate.

This application provides a control method for an energy storage system, comprising: determining the state parameters corresponding to each individual battery cell; determining a multi-dimensional control factor corresponding to each individual battery cell based on different state dimensions indicated by the state parameters at preset calculation cycles; sorting multiple individual batteries cells according to the charge / discharge state of the energy storage system and the multi-dimensional control factor; determining the output demand voltage corresponding to the energy storage system based on the peak reference voltage and AC frequency corresponding to the energy storage system; and controlling the access state of each individual battery cell in the next AC cycle by applying the nearest level approximation method based on the sorting result, the output demand voltage, and the maximum supply voltage corresponding to each individual battery cell in the next AC cycle. This application controls the energy storage units connected to the charge / discharge circuit of the energy storage system and their access time through multi-dimensional control factors calculated from multiple dimensions, thereby achieving full utilization of the energy of the energy storage units.

The application discloses a control method and a cooling water tower based on a dry-wet dual-purpose closed cooling water tower, relates to the technical field of energy-saving refrigeration, and comprises the following steps: calling a pre-established heat exchange digital model; acquiring real-time operation data, extracting different control factors of each working condition area according to the characteristics of each working condition area; calling a scaling and corrosion evolution model and a switching mechanism loss model, correcting the static heat exchange model on line according to the real-time operation data and a historical 72h load curve to obtain a dynamic heat exchange model; performing multi-dimensional coupling analysis based on the real-time operation data and the different control factors, inputting the coupling analysis results into a pre-trained operation mode decision model to obtain a dynamic operation mode decision result of the cooling water tower; and generating an operation parameter adjustment strategy of each working condition area and each stage according to the dynamic operation mode decision result. The application improves the performance of the cooling water tower in terms of full-season adaptability, heat exchange efficiency and energy saving.

This invention relates to the field of computer peripheral control, and more particularly to a method and system for monitoring and controlling the status of computer peripherals. The method includes the following steps: acquiring an internal load sequence and an external current sequence; calculating a first-order difference term using a sliding window; accumulating and weighting the products of the first-order difference term, the external current sequence, and a preset reference voltage to obtain a transient power supply deficit gradient; acquiring a retransmission count sequence; and weighting and accumulating the cross product of the transient power supply deficit gradient and the retransmission count sequence, along with their first-order moment statistical characteristics, to obtain a latent current outage risk index; acquiring service priority weights; and mapping the latent current outage risk index to the service priority weights to obtain a stability degradation diagnostic signal; and calculating a frequency reduction control factor and adjusting the operating state when the stability degradation diagnostic signal exceeds a preset threshold. This invention effectively identifies latent current outage faults, achieving accurate diagnosis and adaptive control.

The invention provides a gas well productivity and EUR optimization method in the middle and later periods of dense low-permeability gas reservoir development, and relates to the technical field of gas reservoir engineering, and the method comprises the steps: collecting historical dynamic and static data of a dense low-permeability gas reservoir, and constructing index system data; based on the index system data, static and dynamic main control factor analysis influencing open flow capacity and recoverable reserves is carried out, and a main control factor set is obtained; according to the main control factor set, using a machine learning algorithm to construct a prediction model used for predicting open flow capacity and recoverable reserves; taking open flow capacity or recoverable reserve maximization as a target, and constructing a control optimization model for optimizing production control variables; and for the target well, using the prediction model to predict open flow capacity and recoverable reserves, and using the control optimization model to optimize production control variables. Compared with a traditional productivity analysis method, the method has the advantages that subjective factor interference is effectively reduced, the analysis process is more objective and efficient, and productivity and EUR evaluation under the interaction of different factors is achieved at the same time.

This invention relates to an optimized control method for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands, comprising: S1, selecting control factors for the constructed wetland, forming an experimental system using a central coincidence design method, introducing wastewater to be treated into the constructed wetland, monitoring the operation of the constructed wetland, and collecting data on total nitrogen removal and relative abundance of bacteria; S2, using analysis of variance to determine a suitable model method for data fitting, and then constructing prediction models for total nitrogen removal efficiency and relative abundance of anaerobic ammonia-oxidizing bacteria based on the model method; S3, predicting the total nitrogen removal efficiency and relative abundance of anaerobic ammonia-oxidizing bacteria in the constructed wetland, thereby achieving optimized control of the operation and maintenance management of the constructed wetland. The optimized control method provided by this invention can predict the relative abundance of anaerobic ammonia-oxidizing bacteria and the total nitrogen removal efficiency of constructed wetlands, guiding the operation and maintenance management of constructed wetlands.

The invention relates to the technical field of engineering data processing, in particular to a fusion processing method, system and device for multi-source heterogeneous engineering data and a storage medium. The method comprises the steps of obtaining original engineering data, and performing structural unit division on an engineering project; performing basic feature extraction on the structural unit, and generating cost information energy of the structural unit; semantic perturbation is introduced to update the cost information energy of the structural unit to obtain perturbed structural energy; based on the disturbed structural energy, a multi-channel control flow feedback mechanism is introduced to obtain a control factor of the structural unit, and further, the disturbed structural energy is combined to obtain cost information energy of the structural unit after fusion processing; and introducing a structural information entropy feedback mechanism, and integrating the cost information energy after fusion processing of the structural units to obtain the total cost. The problems that in the prior art, efficient fusion processing of multi-source heterogeneous engineering data is difficult, feature expression is not uniform, and calculation efficiency is low are solved.

The application discloses an irrigation oasis regulation and control potential power and targeted intervention strategy generation method and system, the method comprises the following steps: dividing a target irrigation oasis region into a plurality of management units, obtaining multi-source data of all the management units, and calculating the coupling coordination degree of each management unit; taking the management unit with a coupling coordination degree less than the regulation lower limit as a regulation unit, and taking the difference between the coupling coordination degree of the regulation unit and the regulation lower limit or the regulation upper limit as the regulation potential; constructing and training a Bayesian causal network, and according to the coupling coordination degree and the index of the regulation unit, using the probability output by the trained Bayesian causal network, calculating the mutual information or belief variance of each driving node of the regulation unit to the target node; taking the driving node with the highest mutual information or belief variance as the main control factor of the corresponding regulation unit, and searching for the targeted intervention strategy of the regulation unit in the factor-strategy knowledge base by using the main control factor.

This invention discloses an optimization method for a glycerol refining process, comprising the following steps: Based on the adopted glycerol refining process, determining the control factors, and conducting single-factor experiments with each control factor as a variable to obtain the optimized first control factor. The control factor is selected from at least one of the following: the ratio of silica gel to zeolite powder, the amount of decolorizing agent added, and the decolorization temperature; then conducting an orthogonal experimental design; setting an evaluation subset and a comment set; setting a weight set; determining a fuzzy relation comprehensive evaluation set; establishing and analyzing a quadratic response surface regression model; using software to analyze the fitted equation to obtain the optimal process parameters for glycerol refining, and using a fuzzy mathematical sensory evaluation model to verify and determine the optimal process parameters for glycerol refining. This invention uses fuzzy mathematical evaluation combined with response surface methodology to examine the effects of the ratio of silica gel to zeolite powder, the amount of decolorizing agent added, and the decolorization temperature on the glycerol content, thus obtaining the optimal refining process.

The invention provides a playback timeout control method for a database session, a medium, a product and equipment. The method comprises the steps of obtaining preset timeout control parameters corresponding to a session, wherein the preset timeout control parameters comprise a high water level threshold value and a control factor; obtaining a to-be-played-back database operation statement in the session; calculating an overtime threshold value corresponding to the database operation statement to be played back according to the high water level threshold value and the control factor; performing playback operation on the to-be-played-back database operation statement, and judging whether the execution time consumption of the playback operation is higher than an overtime threshold value or not; and under the condition that the execution time consumption is higher than the overtime threshold, judging that the playback of the to-be-played-back database operation statement is overtime, and cancelling the playback operation of the to-be-played-back database operation statement. According to the method, by introducing the multi-dimensional threshold parameter and the dynamic control factor, the playback system can perform finer-grained judgment and processing on the SQL execution duration, so that the SQL execution duration is closer to an actual service scene, and the applicability and operability of database playback are improved.

A method and an apparatus for determining the number of coded modulation symbols, and a communications device are provided. The method includes: obtaining, by a communications device, at least one control factor, where the control factor is used to limit a resource occupied when UCI is multiplexed on a PUSCH; determining first target UCI and second target UCI multiplexed on a target PUSCH for transmission, where a priority of the first target UCI is a first priority, a priority of the second target UCI is a second priority, and the first priority is lower than the second priority; and separately determining, according to a target control factor, the number of coded modulation symbols per layer in a case that the first target UCI and the second target UCI are multiplexed on the target PUSCH.

The invention discloses an intelligent pneumatic conveyor belt control system and method, and particularly relates to the technical field of automatic control, an environmental parameter set is generated by collecting temperature, air pressure, humidity and elevation data, a beat control factor is dynamically set, and stroke duration, retention time and response delay tolerance are generated according to the beat control factor; the static parameters are replaced to execute multi-stage pneumatic actions; multiple identification point locations are arranged, and the action switching opportunity is judged based on cross check; the aerodynamic stability is predicted in combination with environmental changes, and preprocessing operation is executed if necessary; the control parameters and the environment data are stored in a linkage mode, and a continuous learning mechanism is constructed; according to the method, rhythm control is driven through environmental parameters, a dynamic control parameter set is constructed, the stroke duration, the retention time and the response tolerance are accurately adjusted, and whole-process self-adaptive control over pneumatic actions is achieved; and in combination with multi-identification-point consistency judgment, stable and reliable action switching is ensured, and the response precision and execution safety of the transmission system in a complex environment are improved.

The invention provides a resource allocation method and device. The resource allocation method is applied to the server and comprises the steps that initial virtual resource information is acquired, and the initial virtual resource information comprises at least two player types, an object construction period ratio corresponding to a target object and a total virtual resource demand; a regulation and control factor is initialized, and the regulation and control factor comprises object construction progress and resource attribute information corresponding to each player type; determining a first constraint strategy based on each object construction progress and an object construction period ratio, and determining a second constraint strategy based on the virtual resource total demand and the resource attribute information; and determining a target regulation factor based on the first constraint strategy and the second constraint strategy, and determining target resource allocation information corresponding to the target object according to the target regulation factor. Through the resource allocation method provided by the invention, the resource allocation rationality is improved.

A method of determining a front end vehicle design forming a plurality of control factors for a front structure of a vehicle, each control factor comprising a first level and a second level, selecting a first level or a second level for each control factors based on a crash velocity and an amount of energy absorbed and forming a vehicle design output corresponding to the first level or the second level based on selecting.

The invention relates to an energy storage refracturing process parameter design method for an integral block. The method comprises the following steps: S1, acquiring basic data of the integral block; s2, determining geological main control factors influencing the productivity according to the reservoir physical property data; s3, establishing a reservoir geologic model by using the basic data in the step S1, and dividing different reservoir types by using geologic main control factors; s4, for each reservoir type, a nine-point water injection development well group is selected, and the optimal water drive front position is determined; and S5, according to the optimal water drive front edge position in the step S4, fracturing parameters are optimized by taking well group productivity as a target. According to the method, the problem that water injection energy storage parameter and hydraulic fracturing parameter optimization methods are lacked in the energy storage and refracturing process of the whole block of the low-permeability reservoir is solved, the pertinence is higher, and refined optimization of different types of reservoirs of the whole block is achieved.

The invention relates to the technical field of automatic control, in particular to a dynamic obstacle avoidance method for a balance robot. The method comprises the following steps: calculating a pitch angle and an angular velocity based on collected data in the operation process of a robot, further constructing a curvature offset function and an attitude resonance exponential function, and generating an attitude resonance index through the attitude resonance exponential function; designing an attitude dissipation control factor based on the curvature offset function and the attitude resonance index; generating a differential control signal based on the curvature offset function, the attitude dissipation control factor and the attitude resonance index; and mapping the differential control signal to form a differential driving instruction. The problems that an existing robot is prone to attitude instability, response lag, path decision errors and the like when the obstacle environment changes or turns are solved, and the problems that a dynamic adjusting mechanism is lacked to cope with sudden state changes, and the control precision and stability are insufficient are solved.

The application discloses a kind of bank side slope rock-soil body strength parameter maximum weakening coefficient determination method, it is related to geotechnical engineering technical field, including, with structure main control area set as the main control factor of local mechanism model, the boundary condition and load condition of definition geological environment condition, set key response point observation position, construct local mechanism model with physical constraint;Multiple source sensing equipment is arranged in key response point observation position and monitoring data is collected, and difference optimization target is constructed with local mechanism model, difference optimization target is inverted, and the maximum weakening coefficient of target area is obtained;Maximum weakening coefficient is input, and numerical verification is carried out by local mechanism model, based on verification consistency, the maximum weakening coefficient of target area is extracted.The application can accurately depict the strength attenuation degree of bank side slope rock-soil body under limit working condition under the premise of keeping the consistency of geology and mechanics boundary, realizes the accurate determination and risk assessment of key unstable position.

The invention provides a self-adaptive efficient charging and discharging control method, device and system for an intelligent energy storage system, and relates to the technical field of electric energy storage systems. The method comprises the following steps: collecting multi-dimensional data; distributing a sector for each control factor in the multi-dimensional data in a preset feature sphere, determining a time-varying feature value based on a historical sampling data sequence of the control factors and current sampling data, and determining the height of the sector in combination with the initial radius of the feature sphere; determining a contribution factor of each control factor based on the fan-shaped height dispersion degree and the time-varying characteristic deviation degree of each control factor, and determining a weight factor of each control factor based on a target time sequence of the contribution factors; determining a reward and punishment coefficient based on the contribution factor and the weight factor of each control factor, and updating an income reference value of each execution action of the energy storage equipment based on the reward and punishment coefficient; and determining the charging and discharging state of the energy storage equipment based on the updated profit value. According to the invention, self-adaptive adjustment of charging and discharging of the energy storage equipment can be realized.

The invention discloses a thermal management characteristic equivalent experiment method for an aircraft accessory casing, and relates to the technical field of aero-engine comprehensive thermal management performance testing. The invention discloses an equivalent experiment method for thermal management characteristics of an aircraft accessory casing. The equivalent experiment method comprises the following steps: establishing an accessory simulation model in an annular casing, converting the casing into a rectangular casing under an equivalent criterion, and obtaining accessory heat exchange performance parameters and verification parameters under different working conditions in an equivalent simulation model. On the basis of a mathematical model and a simulation method, the influence of object characteristics and control factors on system performance is researched, the influence mechanism and the influence level of main factors on test results are revealed, and an optimization test model construction method for a real research object is established; and a comprehensive thermal management accessory integration test scheme design method and a test result evaluation criterion are constructed, so that the accuracy of the experiment is improved, and the subsequent design of accessories of the cartridge receiver is facilitated.

The invention provides a novel parallel rectifier system low-frequency zero-sequence circulating current suppression method and a related device, and belongs to the technical field of pulse width modulation. The method comprises the following steps: inputting a current circulating current sampling value into a zero-sequence circulating current PIR controller to obtain a first control factor; inputting the current midpoint potential sampling value into a midpoint potential controller to obtain a second control factor; adjusting the current reference voltage to obtain zero-sequence circulating current small vector action time and midpoint potential small vector action time; and based on the first control factor and the second control factor, respectively adjusting the action time of the zero-sequence circulating current small vector and the action time of the neutral-point potential small vector, thereby realizing the suppression of the circulating current generated by the low-frequency circulating current excitation source. According to the method, the problem that the research on random CM excitation modeling, coupling mechanism and inhibition strategy caused by multi-source isomerism is almost blank is solved.

The embodiment of the invention provides a method for gas-water alternate development of an oil and gas field, a control device and a storage medium, and belongs to the technical field of oil and gas field development. The method comprises the steps that main control factors influencing the accumulated oil production of a target oil and gas field are determined, wherein the main control factors comprise the gas-water slug ratio and at least one piece of basic feature information; based on the main control factors, an initial scheme for gas-water alternate development of the target oil and gas field is constructed; and based on an immune genetic algorithm, through the initial scheme and a preset cumulative oil production prediction model, determining an optimal scheme for gas-water alternate development of the target oil and gas field. According to the embodiment of the invention, in oil reservoir yield prediction of the target oil and gas field, the immune genetic algorithm is combined with numerical simulation, and the optimal scheme and the production strategy for gas-water alternate development of the target oil and gas field are determined by utilizing engineering constraints to improve the recovery efficiency to the maximum extent, reduce the gas-oil ratio and reduce gas channeling.

The invention discloses a method for improving the reliability of a wheel spoke and rim assembly, and relates to the technical field of wheels. The method comprises the steps that control factors and noise factors of the wheel spoke and rim assembly are collected; performing primary screening on the control factors and the noise factors by using single factor analysis to remove redundant factors; designing an orthogonal simulation scheme based on the control factor to identify a main effect and an interaction effect of the control factor; optimizing the simulation analysis process of the control factor and the noise factor by using a Taguchi method based on the main effect and the interaction effect of the control factor so as to reformulate an orthogonal simulation scheme; and constructing a target function and analyzing an optimal factor group in combination with an orthogonal simulation scheme. According to the method, the reliability, the cost and the light weight of the wheel assembly are comprehensively optimized, and the consumption of computing resources is reduced.

The invention discloses an equipment operation control method and system, equipment and a storage medium. The method comprises the following steps: determining an operation control mode of the equipment according to configuration information of the equipment; acquiring a control parameter corresponding to the operation control mode; the fan unit and / or the compressor of the equipment are / is controlled to operate according to the control parameters without increasing cost, corresponding control factors are determined according to the equipment configuration information, operation of the fan unit and the compressor in the equipment is controlled accordingly, and noise is effectively reduced.

The present application relates to a kind of double-coated brake disc ultra-high speed laser cladding process method, comprising the following steps: according to brake disc surface area, the calculation formula of total energy output value of cladding efficiency, determine the total energy output value under the binding force qualified threshold;Set control factor, deduce the coupling formula of power, powder feed rate, efficiency and thickness;Using double-layer time-lapse cladding, establish radius time line speed kinematics model, accurately describe the second layer linear velocity variation law;Determine the compensation factor of second layer cladding, obtain the real-time compensation formula of power, powder feed rate changes with linear velocity in second layer cladding process.The present application is around the technical goal of high efficiency and high quality collaborative optimization, systematic design is carried out in process modeling, parameter coupling and dynamic control, on the premise of ensuring coating bond strength, forming quality and substrate deformation controllable, realize efficiency maximization, with stronger implementability and replicability, be conducive to standardization, large-scale development.

The invention relates to a reservoir main control factor discrimination method based on correlation analysis and an analytic hierarchy process. The method comprises the following steps: (1) collecting and sorting multi-dimensional reservoir parameters such as reservoir thickness, gas content, mineral composition, shale content, physical property, pore throat structure and the like of a marine facies pore-rich low-permeability gas reservoir in a target area; (2) calculating a reservoir quality parameter (RQI); (3) carrying out correlation analysis on multi-dimensional data such as reservoir quality parameters (RQI) and geological influence factors; (4) obtaining a target weight by using an analytic hierarchy process in combination with a correlation analysis result; and (5) sorting the final weights of all the geological factors influencing the reservoir, wherein the maximum weight is the main control factor to be found. According to the technical scheme, objective and quantitative judgment of the main control factors of the reservoir is achieved through the steps of combining correlation analysis with the analytic hierarchy process, introducing the RQI model for weight redistribution and the like.