24 results about "Control factor" patented technology

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.

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 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 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.

This invention discloses a design method for a casing centralizer used in cementing and a casing centralizer for cementing. The method includes: generating a wellbore-centralizer model based on a data set of multiple main control factors affecting centralizer performance and calculating the corresponding horizontal well cement displacement efficiency value and swirl section length; training a neural network based on the data set of multiple main control factors and the horizontal well cement displacement efficiency value and swirl section length to obtain a centralizer optimization design database model; inputting the design data of multiple main control factors of the centralizer to be designed into the centralizer optimization design database model; determining and outputting qualified design data based on the displacement efficiency value and swirl section length output by the model. This invention predicts the displacement efficiency and swirl section length corresponding to different design parameters through the centralizer optimization design database model, and selects qualified centralizer design parameters accordingly, which can ensure the maximization of horizontal well displacement efficiency and provide accurate guidance for centralizer design.

The utility model relates to fixing device technical field discloses the fixing device for rotatable component, the bottom of support is equipped with first recess, support first side surface is equipped with second recess, support second side surface is installed with quick -witted and clamps subassembly, the direction of second side surface and first side surface adjacent and its on support is identical with the opening direction of first recess, quick -witted and clamps subassembly includes main part and head, and the head adjustable spacing and detachable installation are in the bottom of main part, the head has at least the inclined structure in the side surface opposite with first recess opening, main part has the removal operation structure to drive the head up and down removal, through this scheme fixing device, can assist operating personnel to complete rotatable component rotation after the fixed operation of operation, reduces the control factor in fixed operation process, reduces the operation difficulty, improves the operation efficiency, ensures the fixing accuracy, promotes the assembly qualification rate, and the device structure is simple, and the versatility is strong, is convenient for dismouting maintenance replacement, reduces the cost.

This invention relates to the field of wastewater treatment technology and discloses a control system based on a flocculation sensor, comprising: a control module for controlling the flocculation sensor; an acquisition module for obtaining flocculation images of the flocculation tank; a judgment module for comparing the number of suspended particles with the number of standard flocculation particles and determining whether to activate the dispensing mode based on the comparison result; a comparison of historical control records with the flocculation flow rate and determining whether to determine the valve opening angle based on the historical control records based on the comparison result; if it is determined that the valve opening angle is not determined based on the historical control records, the valve opening angle is determined based on a valve angle model; a processing module for determining whether to adjust the flocculation dosage based on the number of suspended particles, the number of suspended particles, and the number of standard flocculation particles; and a control module for setting a dispensing control factor for the flocculation dosage based on the flocculation temperature and adjusting the dispensing in the flocculation tank based on the optimization results. This invention improves the stability of wastewater treatment by controlling the dispensing dosage.

The present application relates to the technical field of flue gas treatment, and particularly relates to a flue gas ammonia concentration intelligent control method, device and system, which is applied to a flue gas ammonia concentration intelligent control device, the device is respectively connected with a monitoring system and a denitration device; the monitoring system is used for collecting flue gas samples and detecting the ammonia concentration therein, and the denitration device is provided with an ammonia supply module to control the ammonia injection amount; the method comprises the following steps: obtaining sampling data collected by the monitoring system. The present application dynamically optimizes the monitoring parameters through a sampling control factor model, calibrates the ammonia concentration measurement value by using a measurement error correction model, and adjusts the ammonia injection amount in real time through an NH3-NOx linkage control model based on accurate ammonia escape concentration and NOx concentration data, so as to realize fine control of the denitration process, effectively reduce ammonia escape, improve denitration efficiency, reduce ammonia agent consumption, and help to simultaneously realize emission standard compliance and operation cost optimization.

The present application relates to the technical field of circuit fault diagnosis, and particularly relates to an inverter open circuit diagnosis method, system and device based on current dynamic scaling. The method comprises the following steps: collecting three-phase stator currents of a three-phase inverter drive system in real time, constructing current characteristic information, and obtaining three-phase stator currents after scaling processing; integrating the three-phase stator currents after scaling processing to obtain positive bias of phase current and negative bias of phase current; setting a judgment threshold, and converting the positive bias of phase current and the negative bias of phase current into current bias state parameters; calculating a fault identification variable according to the dynamic scaling current bias state parameters; matching the fault identification variable with a fault diagnosis judgment rule to locate a specific switch tube position where an open circuit fault occurs. The present application uses the idea of dynamic scaling, overcomes the interference of control factor uncertainty on the diagnosis criterion, completes online fault diagnosis, and provides a solid basis for fault-tolerant control and safety protection of the drive system.

This invention relates to the field of oil and gas exploration technology, and discloses a method, system, electronic equipment, and medium for evaluating the main corrosion control factors. The method includes: acquiring at least three corrosion factors and constructing different main corrosion control factors based on these factors; constructing multiple sets of experimental parameters for each corrosion factor using a multi-factor, multi-level orthogonal combination method, and conducting corrosion immersion experiments to determine the corrosion rate; performing multivariate nonlinear fitting to determine the coefficient of each main corrosion control factor; and determining the degree of influence of each main corrosion control factor on the corrosion rate of the injection-production tubing based on Pareto analysis. This application considers more than three corrosion factors simultaneously to construct the main corrosion control factors, and combines multivariate nonlinear fitting and Pareto analysis to establish the degree of influence of each main corrosion control factor on the corrosion rate of the injection-production tubing, aiming to fully predict the relationship between the corrosion rate of the injection-production tubing and the control factors.

The application provides a slip fault transmission level evaluation method based on a main control factor, which comprises the following steps: step 1, researching the development and distribution characteristics of the fault in a research area; step 2, according to the comprehensive analysis of field outcrop profile dissection and core observation, the permeability of the fault zone characteristics, i.e. the main control factor Y1, is represented; step 3, the influence of the fault activity, i.e. the main control factor Y2, on the transmission is represented; step 4, the influence of the stress state, i.e. the main control factor Y3, on the transmission is represented; and step 5, the slip fault transmission level is comprehensively evaluated. The slip fault transmission level evaluation method based on the main control factor is constructed according to the dissection of the existing fault zone oil and gas reservoir characteristics, the weight of each key element is calibrated, and the opening and closing level of the slip fault is comprehensively divided.

The present application belongs to the technical field of oil and gas field development, and particularly relates to a low-abundance remaining oil potential calculation method, aiming to solve the problem that the prior art cannot accurately quantify the low-abundance remaining oil potential and continuously improve the oil reservoir recovery factor. The method comprises the following steps: obtaining basic data of an oilfield to be calculated for low-abundance remaining oil potential; fitting according to the basic data to determine the main control factors affecting the distribution of remaining oil and the corresponding representation parameters of each main control factor; based on the corresponding representation parameters of each main control factor, combining a preset remaining oil potential grade, quantitatively representing the remaining oil potential by a fuzzy comprehensive evaluation method to obtain the comprehensive membership degree of the main control factors and the remaining oil potential grade; and obtaining the remaining oil potential grade of the oilfield to be calculated for low-abundance remaining oil potential according to the comprehensive membership degree of the main control factors and the remaining oil potential grade. The present application effectively improves the representation accuracy of the low-abundance remaining oil potential of the reservoir at the high water cut stage.

The present application provides a method for controlling an operating parameter of a paint shop, the method comprising the following steps: monitoring movement feature information of a workpiece (15) on a conveying apparatus (16) of a paint shop; and controlling an operating parameter of one or more process subsystems (17) of the paint shop, at least on the basis of the movement feature information of the workpiece (15). The present application further provides a system for controlling an operating parameter of a paint shop, and a computer program product. According to embodiments of the present application, movement feature information of respective workpieces (15) on a conveying apparatus (16) of a paint shop is introduced as a control factor, which can effectively increase the flexibility and intelligence of a process subsystem (17) of a paint shop, and increases the energy operating efficiency of the paint shop.

The application discloses a kind of based on dimensionless array combination's heavy oil steam flooding main control factor analysis and recovery factor prediction method.The method includes: obtaining fluid property, interface property and core physical property parameter;Carry out heavy oil steam flooding experiment under different working conditions, obtain recovery factor data;Capillary number, bond number and gravity number are calculated, the relative action of viscous force, capillary force and gravity is characterized;Dimensionless array combination parameter including bond number, capillary number and viscosity ratio before and after oil displacement is constructed;Quantitative prediction model of recovery factor and dimensionless array combination parameter is established by determining correction coefficient through experimental data regression;The model is applied to the recovery factor prediction and process parameter optimization of steam drive under different preheating temperature, steam dryness, injection speed and injection dip angle and other working conditions.The application realizes the unified quantitative characterization of heavy oil steam flooding multi-acting force, establishes recovery factor quantitative prediction method, and provides theoretical basis for steam drive development plan optimization.

The application provides an analysis method and device for influencing factors of repeated fracturing effect, equipment and medium, and belongs to the technical field of oil and gas reservoir reconstruction. In the method, the initial data column corresponding to a plurality of data analysis methods can determine the ranking of the main control factor in each type of parameter, and the influence level of each main control factor can be determined through the corresponding graph and parameter change data of each type of parameter. Since the ranking of any main control factor can reflect the importance of the main control factor in the plurality of main control factors of each type of parameter, and the influence level of the main control factor can reflect the influence strength of the main control factor on the repeated fracturing effect, the ranking and influence level of each main control factor can be determined through the comprehensive analysis method combining a plurality of data analysis methods, the influence of each main control factor on the repeated fracturing effect is more comprehensively and accurately displayed, effective data reference can be provided for subsequent development work, and the data processing efficiency is improved.

This invention discloses a multi-condition adaptive control method, system, and storage medium for fans, relating to the field of automation control. It solves the technical problem of difficulty in adaptively controlling fan speeds to adapt to environmental changes during fan regulation. The invention obtains the effective control range of each fan in a factory using a digital twin model; acquires target data within the effective control range; extracts feature values ​​from the target data to obtain characteristic target data; issues alarm signals based on the characteristic target data; determines fan control factors based on the characteristic target data; and adaptively adjusts the fans based on the fan control factors. This invention improves the adaptability and controllability of fans to the environment, and reduces ineffective energy consumption among multiple fans.

The application discloses a method for mathematical modeling of main equipment of pumped storage power station based on dynamic simulation, which comprises the following steps: S1, collecting multi-source time sequence data of the main equipment of the pumped storage power station, and preprocessing to generate a time sequence data set; S2, constructing a time sequence variational autoencoder model, and initializing through a dynamic latent space control factor; S3, using a meerkat optimization algorithm to dynamically optimize the time sequence variational autoencoder model hyperparameters; S4, using a differential evolution algorithm to globally optimize the time sequence variational autoencoder model weight parameters; S5, using the time sequence variational autoencoder model to make a prediction, and introducing a nonlinear time decay mechanism to correct the prediction result; and S6, comparing the prediction result with actual equipment operation data to assist power station operation and maintenance personnel in formulating an equipment operation optimization strategy. The application realizes high-precision prediction and dynamic simulation of the operation state of the main equipment of the pumped storage power station, and improves the safety and maintenance efficiency of equipment operation.

The application discloses a kind of intelligent house fuzzy instruction understanding and control plan generation method for end side, to solve the problems of high inference delay, large resource occupation, high privacy risk of prior art.The present application includes: end side discriminates the information required for fuzzy instruction and control factor discrimination, filters relevant equipment and constructs simplified prompt word;Cloud side generates high-quality data set and fine-tunes instruction to lightweight large language model, and is deployed to end side;End side utilizes custom KV-cache reuse mechanism to cache static device information, and generates control plan by local inference combined with simplified prompt word.The present application reduces the average response time to 5.47 seconds, improves the inference speed by 8.44 times, and the memory occupation is less than 1.5GB, which realizes efficient and low-delay intelligent home control of resource-constrained end-side devices while ensuring privacy.

The application discloses a kind of nanocrystalline high-frequency transformer multi-physics field multi-objective robust optimization design method and system, belong to high-frequency transformer technical field, method includes: constructing multi-objective optimization function;Introduce the coupling calculation model of core loss and winding loss;Establish multidimensional constraint condition;Identify the high sensitivity parameter and low sensitivity parameter that optimization target is significantly influenced, simplify optimization dimension;Construct Kriging surrogate model, generate sample point using Latin hypercube sampling;Determine the optimization of Kriging surrogate model, obtain Pareto optimal solution set;Divide control factor and noise factor, use Taguchi method to design orthogonal experiment;Introduce support vector regression to construct robust optimization surrogate model, optimize control factor in combination with NSWOA algorithm.The application uses the above method and system, improves the anti-interference ability of equipment, solves the performance dispersion problem under high-frequency working condition, guarantees the stability of nanocrystalline high-frequency transformer long-term operation.

The application discloses a kind of based on correction capillary number thickened oil water drive main control factor analysis and recovery factor prediction method.The method includes: obtaining fluid property parameters, interface property parameters and core physical property parameters in thickened oil water drive process;Carry out thickened oil water drive experiment under different working conditions, obtain recovery factor data;Calculate correction capillary number, the correction capillary number includes oil-water viscosity ratio and core physical property parameters, for representing the relative action of viscous force and capillary force under high oil-water viscosity ratio condition;Quantitative prediction model between recovery factor and correction capillary number is established by determining correction coefficient through experimental data regression;The model is applied to thickened oil water drive recovery factor prediction and injection parameter optimization under different injection rates, temperature and permeability conditions.The application realizes the unified quantitative characterization of thickened oil water drive main control force under high oil-water viscosity ratio condition, establishes recovery factor quantitative prediction method, and provides theoretical basis for thickened oil water drive development plan optimization.

This invention relates to the field of low-frequency elastic wave bandgap technology, and more particularly to a method for controlling the low-frequency elastic wave bandgap based on viscoelastic damping materials. The invention includes the following steps: converting the Young's modulus of the viscoelastic damping material into a function varying with frequency, introducing a first control factor; analyzing the control law of the first control factor on the negative property material parameters, and analyzing the elastic wave transmission characteristics in the viscoelastic damping material when the material parameters within the bandgap are negative; introducing a second control factor to adjust the viscoelastic damping material parameters to a complex form, and analyzing the control law of the second control factor on the complex property material parameters; determining the dispersion curve when the viscoelastic damping material parameters are complex, and analyzing the influence of the complex property tensile modulus on the elastic wave transmission characteristics based on the real and imaginary parts of the dispersion curve; and analyzing the control law of the elastic wave dispersion characteristics when the tensile modulus of the viscoelastic damping material is complex. This invention can solve the problem of high difficulty in low-frequency vibration reduction and noise reduction.

This application provides a method for controlling operating parameters in a painting workshop. The method includes the following steps: monitoring motion characteristic information of workpieces on a conveyor in the painting workshop; and controlling the operating parameters of one or more process subsystems of the painting workshop based at least on the motion characteristic information of the workpieces. This application also provides a system for controlling operating parameters in a painting workshop, and a computer program product. According to embodiments of this application, introducing the motion characteristic information of each workpiece on a conveyor in the painting workshop as a control factor can effectively improve the flexibility and intelligence of the process subsystems in the painting workshop and improve the energy efficiency of the painting workshop.

The application discloses a kind of shale gas well that is not put into production recoverable reserves prediction method and device.The method comprises the following steps: obtaining the data of each main control factor of the position where target well is located;Main control factor represents the factor that reaches the first preset influence degree to the productivity of target well;Obtain the initial formation pressure value, current formation pressure value, actual productivity data and theoretical productivity data of the near well of target well;Based on the initial formation pressure value, current formation pressure value, actual productivity data and theoretical productivity data of near well, calculate the pressure drop productivity influence coefficient;Near well is already put into production well;The data of each main control factor of target well and pressure drop productivity influence coefficient are substituted into the productivity prediction model constructed in advance, and the recoverable reserve value of target well is predicted.The recoverable reserve value of shale gas well can be accurately predicted after fracturing is completed.

A tight reservoir compressibility evaluation method at logging scale belongs to the technical field of fracturing in downhole operation in the petroleum industry, and comprises the following steps: S1, gamma, density, acoustic data are introduced into the ground stress profile software to obtain the ground stress, Young's modulus and Poisson's ratio parameters, and the horizontal stress difference coefficient, stress quality coefficient and brittleness index factor are respectively calculated according to the formula; S2, the minimum horizontal principal stress is taken as the main control factor of compressibility, and the partial correlation coefficients of the horizontal stress difference coefficient, stress quality coefficient, brittleness index, macroscopic crack factor and the main control factor are measured under the condition of controlling other factors; S3, the compressibility coefficient is obtained by multiplying the values of each influencing factor and the corresponding weight. Through post-pressure test analysis, it is verified that the tight reservoir compressibility evaluation method at logging scale is reliable and simple, and can effectively guide the single well fracturing design.