506results about How to "Improve control accuracy" patented technology

The invention discloses a multi-stage temperature accurate control method based on a neural network algorithm, relates to the field of oven temperature control, and particularly comprises the steps of setting a final target temperature # imgabs0 #, and dividing a heating process of heating to the final target temperature # imgabs1 # into a rapid temperature rise stage, a temperature rise control stage and an accurate temperature control stage, an intermediate target temperature # imgabs2 # is set in each stage so as to gradually approach the final target temperature # imgabs3 #; according to the established oven system model, the influence of different intermediate target temperatures # imgabs4 # on temperature response is analyzed, and a proper intermediate target temperature # imgabs5 # combination is found; the heating temperature # imgabs6 # of the heating wire and the temperature # imgabs7 # in the oven are detected in real time through a temperature sensor, and then segmented control is conducted; through segmented control, the temperature rise rate and control precision of each stage are optimized, overshoot is reduced, the response speed is increased, the target temperature is gradually approached, and temperature overshoot caused by one-time large-amplitude temperature rise is avoided.

The invention discloses a manipulator, a robot hand, a robot control method, a control system and a computer readable storage medium. The control method comprises the steps of determining a target task of the manipulator; according to the target task, determining activity parameters of each finger part; the activity parameters comprise a rotation angle; and controlling the finger to move according to the activity parameters of the finger so as to execute the target task. Due to the fact that the rotation modes of the first finger part and the second finger part are different, and the first finger part and the second finger part both have two different rotation modes, the flexibility of the mechanical arm is high. The target task of the manipulator is determined, then the activity parameters of the finger parts are determined according to the target task, and then the finger parts are controlled to move according to the activity parameters of the finger parts so as to execute or complete the target task. Rotation of the first finger part and the second finger part is accurately controlled through the movement parameters of all the finger parts, so that the flexibility of the manipulator is high, and the control accuracy is high.

The invention relates to the field of robots, and discloses a robot control method, device and equipment and a storage medium. Comprising the steps of building a simulation environment and a simulation control system of a robot, performing action splitting on an operation task to obtain an action set, collecting a joint action image and a joint action position of the robot in the action set execution process to generate a state space, training and strengthening based on the state space and a reward function to obtain an intelligent agent model, and performing simulation control on the intelligent agent model. And optimizing the intelligent agent model by utilizing a preset loss function, predicting a target action space of the robot by utilizing the intelligent agent model based on the current state space of the robot in the task environment, and controlling the robot to execute a corresponding action. According to the scheme, the intelligent agent model is trained in the simulation environment, the action of the robot at the next moment is predicted, control over the robot in the real environment is achieved, and the experiment cost problem of equipment abrasion and the like caused by the fact that the robot can only be continuously trained and tried and mistaken in the actual physical environment is solved.

The invention discloses a virtual character control method and device, equipment, a medium and a program product, and relates to the field of human-computer interaction. The method comprises the following steps: displaying at least one of a master control virtual character and an NPC in a virtual environment; acquiring a natural language command in a voice form; in response to the behavior intention indicated by the natural language command, controlling the NPC to execute a virtual activity; wherein the behavior intention is identified from the natural language command according to the environment perception information, and the environment perception information comprises information perceived by at least one of the master control virtual character and the NPC for the virtual environment. By means of the mode, the natural language command can be better understood by means of the environment perception information, the accuracy of the behavior intention obtained through recognition is improved, the behavior intention is better matched with the virtual environment, and the control accuracy of the NPC is improved. The method and the device can be applied to various scenes such as terminal game scenes, virtual reality scenes and augmented reality scenes.

The invention belongs to the field of pouring liquid level detection, and particularly relates to a vacuum pouring liquid level visual detection device and method based on a laser light source, and the device comprises an image collection unit which is arranged right above a pouring unit, is connected with an image processing host through a host connection cable, and is used for receiving a shooting instruction; the collected liquid level image of the pouring unit irradiated by the laser is sent to the image processing host for processing; the laser unit is connected with the image processing host and is used for emitting laser to the pouring unit; the pouring unit is connected with the pouring material port controller and used for receiving a pouring instruction of the image processing host and completing the pouring process according to an automatic judgment rule. And the image processing host is used for carrying out image processing operation on the liquid level image of the pouring unit irradiated by the laser and measuring the liquid level height through an image laser line position detection algorithm according to the obtained processed image. According to the invention, the accuracy degree of liquid level height calculation is greatly improved, so that the control accuracy of the automatic visual gating system is improved.

The invention relates to a control system and a control algorithm for improving the stability of a laser direction, and discloses a fast reflector control system and algorithm based on a bidirectional recurrent neural network fusing a self-attention mechanism and PID (Proportion Integration Differentiation) control. The core of the invention lies in that neural network prediction and PID control are innovatively combined to form an intelligent prediction-feedback control system. According to the system, a bidirectional recurrent neural network based on a self-attention mechanism is adopted for prediction, a comprehensive error concept is introduced to fuse an actual error and a prediction error, and intelligent self-adaptive adjustment of PID parameters is achieved. The system can significantly improve the precision of laser beam direction control, the anti-interference capability and the dynamic response speed, and has a wide application prospect.

The invention is suitable for the technical field of automobiles, and provides a vehicle braking method and device, an electronic control unit and a vehicle. The method comprises the steps that when an electronic mechanical braking system of the vehicle has a fault, the fault type is determined; based on the fault type, determining a braking mode of the vehicle; and in response to the vehicle braking instruction, a cooperative regenerative braking system of the vehicle is controlled based on the braking mode, so that braking of the vehicle is achieved. According to the method, when the electronic mechanical braking system breaks down, braking of the vehicle can be achieved through an existing cooperative regenerative braking system of the vehicle, no mechanical device needs to be additionally arranged, and therefore the cost is reduced, and the complexity of the braking system is reduced. Meanwhile, according to the method, the braking mode of the vehicle can be flexibly determined based on the type of the fault in the electronic mechanical braking system, so that flexible control over the cooperative regenerative braking system is achieved, the control accuracy of the cooperative regenerative braking system is improved, and the braking success rate of the vehicle is increased.

The invention discloses a fishery water body environment monitoring equipment control method, and relates to the technical field of equipment control, and the method comprises the steps: obtaining a first-stage monitoring region and a second-stage monitoring region; obtaining a first-stage monitoring equipment layout array and a second-stage monitoring equipment layout array; setting a monitoring bandwidth; obtaining a primary monitoring index set sequence and a secondary monitoring index set sequence; obtaining a primary monitoring area water body state coefficient and a secondary monitoring area water body state coefficient; and carrying out water body environment monitoring on the primary monitoring area and the secondary monitoring area according to the adjusted monitoring bandwidth. The technical problems that in the prior art, the fitting degree of fishery water environment monitoring equipment control and the actual water environment condition is low, and the control reliability is poor are solved, and the technical effects that the fitting degree of the monitoring bandwidth of the water environment monitoring equipment and the actual condition is improved, and the equipment control accuracy is improved are achieved.

The invention discloses a power grid voltage optimization method and device based on hierarchical constraint reinforcement learning, and relates to the technical field of power grid voltage optimization. According to the invention, the hierarchical reinforcement learning model under the long time scale and the short time scale is constructed, and the condition of the power grid voltage is divided into two time scales for adjustment, so that the power grid voltage is optimized in a layer-by-layer coordination and step-by-step optimization mode. The short-time-scale voltage optimization model makes up the deficiency of the long-time-scale reinforcement learning model due to the uncertainty of the load and the distributed power supply, thereby improving the accuracy of power grid voltage regulation. Layered training is carried out on the initial layered voltage optimization model through a layered constraint reinforcement learning solution algorithm, global collaborative optimization of the power grid voltage is effectively realized, and the search space is effectively reduced through a constraint Markov decision model, so that the calculation efficiency and accuracy of the layered voltage optimization model can be improved, and the optimization efficiency of the power grid voltage is improved. And the control efficiency and accuracy of the power grid voltage are improved.

The invention relates to the technical field of grease production, and discloses a temperature control device and method for grease production, and the device comprises a tank body which is internally provided with a stirring main body and at least four turbulent flow main bodies, and the turbulent flow main bodies are arranged at the outer side of the stirring main body; the liquid supply main body is used for providing cooling liquid for the stirring main body, two flow channels are formed in the stirring main body, and the two flow channels communicate with the liquid supply main body through the valve body; the temperature sensor is arranged in the tank body and is used for detecting the temperature uniformity of the grease in the tank body; and the control module is used for controlling the valve body to switch the flowing direction of the cooling liquid in the two flow channels when the grease temperature uniformity detected by the temperature sensor does not meet the set condition. According to the invention, grease can be fully stirred, the flowing direction of cooling liquid can be controlled according to the temperature uniformity of the grease in the tank body, and the temperature consistency of the grease in all positions in the tank body is improved, so that the control precision of the temperature of the cooling liquid is improved, the crystallization separation effect of solid fat is ensured, and the production quality of the grease is improved.

The invention provides a marine storage battery water injection and electrolyte monitoring system and method, and the system comprises a marine storage battery water injection monitoring group control subsystem which constructs a marine storage battery water injection and monitoring bottom layer control unit combined multi-layer architecture, carries out the real-time online monitoring of the water injection state and electrolyte state of a storage battery, and carries out the real-time online monitoring of the water injection state and electrolyte state of the storage battery; acquiring water injection state information and electrolyte state information of the storage battery; the storage battery data transfer station combination subsystem is used for carrying out grouped storage battery data transfer through a grouped storage battery data transfer station according to the storage battery water injection state information and the electrolyte state information; the water injection electrolyte state display and control subsystem is used for sending a density measurement instruction through a state display and control upper computer to carry out density measurement and carrying out storage battery water injection state and electrolyte state display control; and the distributed layering complete subsystem constructs a distributed layering water injection monitoring complete system through a data transfer layering communication protocol, and carries out integrated monitoring control on the water injection state and the electrolyte state of the marine storage battery.

The invention discloses a construction method of a large-span rigid entrance porch, comprising the following steps: step 1: porch design; step 2: arch foot construction; step 3: arch column installation: 3.1, segmentation and ground assembly: segment the arch column; assemble the adjacent arch columns into larger hoisting units on the ground; 3.2, high-altitude positioning: gradually hoist from both sides to the middle according to the arch column hoisting section and adjust the spatial positioning; 3.3, measurement and design: high-altitude hoisting accurately adjusts the arch column position and position, measures the position coordinates of the arch column pipe mouth, checks the real-time height difference of the arch column to determine whether the arch column is adjusted to the position state; 3.4, high-altitude fixing: after the adjacent hoisting sections are fixed, the connecting beam and tie rod at each arch column are hoisted and fixed; step 4: arch column unloading; step 5: canopy system hoisting; step 6: canopy unloading. The application method is convenient for controlling the installation accuracy of the arch column, improving the convenience of arch column installation, and ensuring the safety and efficiency of construction.

The invention discloses a control system for automatically wrapping a coil with an insulating tape, which relates to the field of power systems and comprises an image acquisition and processing module, a tape wrapping mechanism sensing module, an operation control module, a safety monitoring module, a data interaction module and a memory module. A multi-sensor network is combined to monitor the state of a taping mechanism in real time, track optimization and active-disturbance-rejection closed-loop control are utilized to ensure that taping is accurate and efficient, big data analysis is introduced to rapidly recognize and call control instructions of similar historical events, the control efficiency and accuracy are improved, and the taping accuracy is improved. The system also has visual monitoring and remote parameter adjustment functions and a cloud database historical data storage function; the limitation problem that a traditional automatic packaging system is only suitable for coils in regular shapes is solved, the efficiency, precision and safety of automatic insulating tape wrapping of the coils are improved, and intelligentization and automation of the production process are achieved.

The embodiment of the invention provides a denitration parameter continuous monitoring system and method based on single furnace and double flues, and belongs to the technical field of denitration. The system comprises grid method sampling devices which are independently arranged corresponding to all flues and are used for monitoring flue gas state parameters in the corresponding flues based on the working state at the current moment; wherein the working state at the current moment is polling sampling, mixed sampling or reverse blowing; at least one grid method sampling device in each flue is in a mixed sampling working state at the same moment; and the control device is used for obtaining the NOx concentration in each flue at the current moment based on the flue gas state parameters in each flue. According to the scheme, comprehensive and continuous monitoring of denitration parameters is ensured, the control accuracy of the ammonia spraying amount is improved, the risks that the ammonia escape rate is too high and the NOx concentration exceeds the standard are avoided, and the stability and the environmental protection effect of the system are improved.

The invention provides a liquid cooling heat management system and an energy storage cabinet, and belongs to the technical field of liquid cooling heat dissipation. The liquid cooling heat management system comprises a plurality of compressors, a condenser, a plurality of throttle valves, an evaporator, a liquid cooling plate, a radiator and a plurality of fans; each compressor is connected between one input end of the condenser and one output end of the evaporator through a pipeline, and each throttle valve is connected between one output end of the condenser and one input end of the evaporator through a pipeline; a pipeline connected with the liquid cooling plate penetrates through the evaporator, the liquid cooling plate is used for being in contact with the battery, a pipeline connected with the radiator penetrates through the condenser, and the multiple fans are arranged at the radiator; a controller of the liquid cooling heat management system is used for adjusting the number and the rotating speed of the running compressors in the multiple compressors and adjusting the number and the opening degree of the opened throttling valves in the multiple throttling valves according to the temperature of the battery and the temperature of the refrigerating fluid flowing into the liquid cooling plate. According to the invention, the power consumption of the liquid cooling heat management system can be reduced.

The invention relates to an automatic injection molding control method and system for toothbrush production, and the method comprises the steps: obtaining a toothbrush injection mold, analyzing the injection molding track of the toothbrush injection mold, and carrying out the injection molding key point positioning of the injection molding track to obtain the stepped injection molding track of the toothbrush injection mold; obtaining the melt flow velocity of the injection molding material, analyzing the injection molding influence of the melt flow velocity on the stepped injection molding track, adjusting the injection molding speed of each injection molding stage according to the analysis result to obtain stepped injection molding speed data, and analyzing the injection molding speed change relationship between adjacent cavities according to the stepped injection molding speed and the corresponding injection mold cavity. And a production control model of the toothbrush injection mold is constructed, the injection glue spraying speed and the injection glue spraying pressure of the mold are obtained, the injection glue spraying speed and the injection glue spraying pressure are input into the production control model for injection speed analysis, and complete injection control data of the toothbrush injection mold are obtained. The injection molding control method has the effect of improving the injection molding control accuracy in the toothbrush production process.

The invention discloses a driving control method and system of a floatable vehicle and the floatable vehicle, and the driving control method comprises the steps that when the vehicle is in a floating state, according to the target yaw velocity and the actual yaw velocity of the vehicle and the pre-control target wheel speed and the actual wheel speed of each wheel of the vehicle, the pre-control target wheel speed and the actual wheel speed of each wheel of the vehicle are calculated; determining a pre-control torque and a torque correction amount of each wheel of the vehicle by adopting a motion control algorithm; and according to the pre-control torque and the torque correction amount of each wheel of the vehicle, target torque output by a motor corresponding to each wheel of the vehicle is determined so as to control the vehicle to run. On the basis of a double-closed-loop control scheme of a wheel speed closed loop and a yaw velocity closed loop, a complete double-closed-loop control loop composed of the wheel speed and the yaw velocity, feedforward control formed by pre-control torque / wheel speed and controller feedback control is formed, and good control precision and control response characteristics are achieved.

The invention provides an intelligent active suspension system of a centrifugal machine, which belongs to the technical field of centrifugal machines and comprises an air spring mechanism, an actuating mechanism arranged beside the air spring mechanism, a control mechanism arranged beside the actuating mechanism, and an air supply mechanism arranged beside the spring mechanism. An anti-toppling structure is arranged inside or outside the air spring mechanism, a sensor body is arranged inside the air spring mechanism, the air spring mechanism is composed of an air spring body, a spring upper mounting plate and a spring lower mounting plate, and the spring upper mounting plate is fixed to the top of the air spring body. The advantages can be fully exerted, the problems existing in an existing centrifugal machine vibration isolation technology are effectively solved, the overall performance and reliability of the centrifugal machine are improved, and more stable, efficient and safe technical support is provided for the centrifugal separation process in industrial production; and the use height and the vibration isolation effect of the intelligent active suspension of the centrifugal machine can be adjusted according to use requirements.

The invention discloses a vehicle control method and device, a computer readable storage medium and a vehicle. The method relates to the field of vehicle control and comprises the steps that in response to a received in-situ turning-around request instruction, whether a power system of a vehicle breaks down or not is detected, and the in-situ turning-around request instruction is used for requesting to control the vehicle to turn around in situ; in response to the detection that the power system of the vehicle does not fail, whether the vehicle is in a target gear is detected, and the target gear is a parking gear; and in response to the fact that the vehicle is detected to be at the target gear, target control parameters corresponding to the in-situ turning-around requesting instruction are obtained, the vehicle is controlled based on the target control parameters, a control result of the vehicle is obtained, and the control result is used for representing whether the vehicle completes in-situ turning-around or not. According to the invention, the technical problem of low control accuracy when the vehicle is subjected to in-situ turning control in the prior art is solved.

The invention provides a composite sliding bearing laser cladding method and system based on image processing, and relates to the technical field of image processing.The method comprises the steps that a surface image of a composite sliding bearing is collected; performing high-definition reconstruction on the surface image; performing cladding path planning in the reconstructed surface image; constructing a heat conduction model for describing metal heating temperature distribution in the laser cladding process; establishing a description model of the isotherm position changing along with the laser power by combining the heat conduction model; linearizing and discretizing the description model at an expected control point; establishing a state feedback controller with a steady-state error compensation item based on the discrete state space equation; laser cladding is conducted on the composite sliding bearing along the cladding path, and the real-time cladding temperature of a molten pool is collected; and according to the real-time cladding temperature, the heat conduction model and the state feedback controller are combined, target laser power is output, and cladding is conducted on the composite sliding bearing according to the target laser power. And the cladding uniformity and the cladding efficiency are improved.

The invention discloses a single-stage AC-DC converter soft switching modulation method based on frequency conversion, and belongs to the field of electronic power, and the method comprises the steps: selecting a full-bridge part of a single-stage AC-DC converter as a modulation mode of dual PWM and phase shift; circuit parameters, such as high-frequency frequency, inductance and the like, of rated working conditions are designed, and soft switching of all switches is achieved; and frequency conversion is adopted in a power frequency period, so that the maximum current ripple is reduced, and the efficiency is improved. Soft switching is realized through circuit parameters and a modulation method, and ripple minimization on the basis of soft switching is realized through a frequency conversion strategy; according to the method, control is simple, independent decoupling control for maintaining output power, alternating current sine output and bus voltage stability is achieved, and for application occasions pursuing high efficiency and high power density, the switching loss can be effectively reduced, the efficiency of the converter is improved, and meanwhile the operation stability and control accuracy of the converter are improved.

The invention discloses a data processing method and device for unmanned aerial vehicle inspection. The method comprises the following steps: controlling an unmanned aerial vehicle to obtain inspection image information; performing image segmentation processing on the inspection image information by using the first processing terminal to obtain target processing image information; and determining target control signal information based on the second processing terminal and the target processing image information.

The invention discloses a laboratory management system based on a large model, relates to the technical field of laboratory management, solves the technical problem that the laboratory network security cannot be detected in the laboratory use stage in the prior art, and particularly relates to a maintenance performance evaluation unit which is used for evaluating the laboratory performance maintenance. Environment maintenance data and position maintenance data are collected, and whether the maintenance performance is normal is deduced according to data analysis; the network security evaluation unit is used for carrying out security evaluation on the experimental record network of the laboratory, collecting flow control information and data control information, and analyzing and deducing whether the network security evaluation is normal or not according to the information; and the experiment safety evaluation unit is used for carrying out experiment safety evaluation on the laboratory, collecting medicament safety information and electric power safety information, and deducing whether the experiment safety evaluation is normal or not according to information comparison, if so, completing laboratory management, and if not, carrying out experiment safety control.

The invention discloses an equipment control method and device, electronic equipment and a readable storage medium. The method comprises the steps of obtaining a target control text for equipment and role information, skill information and constraint information for a target large model; the role information is used for indicating a function range covered by the target large model; the skill information is used for indicating a content range satisfied by the instruction information predicted by the target large model; the constraint information is used for indicating constraints needing to be followed when the target large model predicts the instruction information; constructing a target cue word according to the role information, the skill information and the constraint information; inputting the target cue word and the target control text into the target large model to obtain target instruction information predicted by the target large model; and controlling the equipment according to the target instruction information. According to the method provided by the invention, the accuracy and success rate of equipment control are relatively high.

The embodiment of the invention provides an application program interface management and control method and device, computing equipment and a readable storage medium, the method is applied to a management and control module of an application program interface API gateway, the API gateway is connected with terminal equipment and a back-end server, the back-end server comprises an API corresponding to an application program installed in the terminal equipment, and the API gateway is connected with the terminal equipment and the back-end server. Comprising the following steps: receiving configuration information of an API (Application Program Interface) corresponding to a target application program in the back-end server; based on the configuration information, an API management and control rule for the target application program is sent to the API gateway; and controlling the API gateway to manage and control an API corresponding to the target application program based on the API management and control rule. According to the method, the management and control mode of the API in the server can be simplified, and the management and control flexibility of the API is improved.

The invention is suitable for the technical field of automobiles, and provides a vehicle control method and device, a vehicle-mounted terminal and a vehicle, and the method comprises the steps: determining a dangerous case type and a dangerous case level when a dangerous case is sensed in an area where the vehicle is located through an intelligent agent of the vehicle; obtaining processing demand information corresponding to the dangerous case type; the processing demand information is used for describing information required for dealing with the dangerous case; generating a vehicle control mode based on the dangerous case level and the processing demand information; and controlling the vehicle based on the vehicle control mode through the automatic calling tool function of the intelligent agent. Compared with the prior art, the method and the device have the advantages that the control mode of the vehicle at the moment can be flexibly and specifically determined according to the dangerous case type and the dangerous case level, so that the vehicle is subsequently controlled according to the control mode, and the control accuracy of the vehicle is improved.

The invention provides a vehicle control method and system and a vehicle. The control method of the vehicle comprises the steps that under the condition that tires of a rear axle of the vehicle burst, tire burst parameters used for representing the tire burst condition are obtained; current pedal states of an accelerator pedal and a brake pedal in the vehicle are obtained; and the axle torque and the axle braking force of the vehicle are controlled in combination with the tire burst parameters and the current pedal state. Therefore, under the condition that the rear axle tires of the vehicle are punctured, the vehicle axle torque and the axle braking force are controlled in combination with the tire burst parameters for representing the current tire burst condition and the current states of the accelerator pedal and the brake pedal, and meanwhile, the actual tire burst condition and the action condition of a driver are considered; and the vehicle control accuracy under the condition of vehicle rear axle tire burst can be improved.

The present application provides a vehicle control method, a control system and a vehicle. The vehicle control method includes: in the event of a tire blowout on the rear axle of the vehicle, obtaining a tire blowout parameter for characterizing the tire blowout situation; obtaining the current pedal state of an accelerator pedal and a brake pedal in the vehicle; and controlling the vehicle's axle torque and axle braking force in combination with the tire blowout parameter and the current pedal state. In this way, in the event of a tire blowout on the rear axle of the vehicle, the vehicle's axle torque and axle braking force are controlled in combination with the tire blowout parameter for characterizing the current tire blowout situation and the current state of the accelerator pedal and the brake pedal, while taking into account the actual tire blowout situation and the driver's actions, which is conducive to improving the vehicle control accuracy in the event of a tire blowout on the rear axle of the vehicle.

The invention discloses a main distribution micro multi-level collaborative optimization regulation and control method and system adapting to non-smooth characteristics. The method comprises the following steps: constructing a converter equivalent model and a power grid topological relation according to power grid measurement data; obtaining a distributed energy three-phase reactive power piecewise function based on the converter equivalent model and a droop control principle, and performing approximate fitting by using a fitting function to obtain a droop control function; micro-grid decoupling is realized by using a node replication method and a micro-grid adjacent relation; constructing a multi-level collaborative optimization scheduling model by using a droop control function, micro-grid decoupling and an optimization objective function; and outputting a main and distribution micro-grid regulation and control strategy by using an interior point method according to the real-time data of the power grid and the multi-level collaborative optimization scheduling model in combination with a time sequence consistency strategy. The method has the advantages that it is ensured that the final regulation and control result is based on the characteristics of the distributed energy and the global characteristics of the distributed energy while the iterative calculation amount is reduced, and both pertinence and efficiency are considered.

The invention provides a control method, device and system for intelligent equipment and a medium. According to the method, voice data, image data and data of the environment where the user is located are considered, so that the accuracy of understanding the intention of the user is improved compared with an existing scheme, feature extraction is carried out on various types of data in the user data to obtain a comprehensive feature vector, and the user experience is improved. And processing the comprehensive feature vector by at least adopting a convolutional neural network technology and a long short-term memory network technology to obtain a final control strategy, so that compared with the existing scheme, the real intention of the user can be better understood from multiple levels, thereby improving the accuracy of controlling the intelligent equipment and improving the user experience. Therefore, the problem that the existing scheme controls the intelligent device only according to the voice of the user, so that the control result of the existing scheme on the intelligent device cannot meet the real demand of the user, and the accuracy of the existing scheme on the control of the intelligent device is low is solved.