243results about How to "Realize fine control" patented technology

The invention relates to a thermal management control method and system for an energy storage power supply, and the method comprises the steps: obtaining the real-time temperature data of the energy storage power supply, and carrying out the heat source distribution analysis, and obtaining the corresponding temperature distribution information; heat dissipation operation parameters of the energy storage power supply are obtained, adjustment analysis is carried out in combination with the temperature distribution information, and a corresponding initial heat dissipation control strategy is obtained; acquiring real-time monitoring data of the energy storage power supply, and performing charge and discharge dynamic analysis in combination with the temperature distribution information and the initial heat dissipation control strategy to obtain corresponding charge and discharge adjustment information; based on the real-time temperature data and the thermal management strategy, hot spot identification is carried out, corresponding potential hot spot information is obtained, early warning processing is carried out, and a corresponding hot spot early warning result is obtained; and performing comprehensive control analysis on the thermal management strategy, the initial heat dissipation control strategy and the hot spot early warning result to obtain a corresponding global thermal management control scheme. According to the invention, comprehensive and intelligent control of thermal management of the energy storage power supply can be realized.

The invention discloses an efficient flight control system of a low-altitude manned unmanned aerial vehicle based on tilting composite wings, and relates to the technical field of unmanned aerial vehicle control systems. The low-altitude manned unmanned aerial vehicle efficient flight control system based on the tilting composite wings comprises an initialization and pre-check module, a vertical take-off and landing control module, a transition flight control module, an obstacle avoidance and path planning module and a landing control module. Through integration of vertical take-off and landing, smooth transition to cruise, intelligent obstacle avoidance, path planning and other modules, autonomous and efficient flight in a complex environment is realized, and the application scene of the unmanned aerial vehicle is greatly widened. Meanwhile, the accurate flight control and data post-processing analysis capability not only guarantees the safety and comfort of passengers, but also promotes the continuous optimization of the system performance through the real-time performance evaluation and feedback mechanism. In addition, the aerial refueling / charging technology is supported, the cruising ability is prolonged, and the task execution continuity and flexibility are enhanced.

The invention relates to the technical field of camera adjustment, in particular to a camera adaptive adjustment method and system and a storage medium. The method comprises the following steps: acquiring a multi-source environment sensing data set and an initial environment image; performing environment feature recognition on the initial environment image according to the multi-source environment sensing data set to obtain a scene environment feature map; performing semantic scene segmentation on the scene environment feature map to obtain a semantic scene macroscopic feature map; performing time sequence attention target tracking on the scene environment feature map to obtain a target vehicle motion feature map; performing feature constraint fusion on the semantic scene macroscopic feature map and the target vehicle motion feature map to obtain a target vehicle-scene motion semantic map; and performing parameter adjustment on the camera according to the target vehicle-scene motion semantic map to obtain a camera parameter adjustment strategy set. According to the invention, the performance and the image quality of the camera in a changeable environment are improved.

The invention provides a large-model-assisted dynamic configuration and quick response method for a knitting production line, and the method comprises the steps: obtaining the historical data of the knitting production line according to the dye molecular weight, the dye polar group number and the dye molecular space structure as dye property parameters, and constructing a dye property data warehouse; according to historical data of a knitting production line, dye molecular structure parameters, yarn surface morphology, material characteristics and friction coefficient test data are selected, and a correlation prediction model of dye properties and yarn friction coefficients is constructed; according to dye properties and friction coefficient distribution characteristics, performing clustering grouping on dye formula compositions, determining dye combinations having similar influence on yarn friction coefficients, and forming a dye formula and friction coefficient mapping library; knitting mechanical structure parameters, a knitting needle motion trail equation, a fabric organization structure matrix and fabric density parameters are obtained and combined with a dye formula and friction coefficient mapping library, and a weaving process digital twinning model is constructed.

The invention provides an intelligent semiconductor wafer spraying control method and system, and the method comprises the steps: obtaining a recommended cleaning time range of a wafer from a preset spraying time-wafer attribute association database according to the material and surface roughness of the wafer; the spraying parameters, obtained in the first three steps, of the sub-areas are integrated, a wafer surface cleaning scheme is formed, the cleaning scheme comprises the nozzle layout, the nozzle number, the spraying liquid components and the temperature of all the sub-areas, and the cleaning scheme is transmitted to a spraying control unit; after cleaning is completed, the surface image of the wafer is compared with a preset standard image, the similarity between the surface image of the wafer and the preset standard image is calculated, if the similarity is lower than a preset threshold value, the serial number and cleaning parameters of the wafer are recorded in an abnormal cleaning log, meanwhile, the wafer is conveyed to an unqualified product cache region, and the unqualified product cache region is used for cleaning the wafer. By means of spraying control, the cleaning efficiency and quality are improved, resource waste is reduced, and an advanced cleaning solution is provided for semiconductor manufacturing.

The invention discloses a grinding control system for reducing the surface stress difference of a workpiece, relates to the technical field of workpiece grinding, and can dynamically monitor the state change in the grinding process by collecting temperature, vibration, cutting force and stress data in real time to ensure timely response to potential problems. The collected data is cleaned and standardized, the data quality is improved, the index cutting force fluctuation coefficient Kf, the stress distribution coefficient Sd and the mechanical vibration frequency fv are extracted, and a reliable basis is provided for subsequent analysis. And the grinding strategy optimization module dynamically adjusts the feeding speed Vf and the grinding depth d based on feedback information, fine control is achieved, the surface stress difference of the workpiece is reduced, and the surface quality is improved. The surface stress difference is reduced, the use performance and the service life of the workpiece are remarkably improved, grinding parameters are adjusted in real time, defects in the grinding process can be effectively reduced, the rejection rate is reduced, the grinding parameters and the stable operation process are accurately controlled, and the overall production efficiency is improved.

The invention belongs to the technical field of refueling control, and particularly discloses and provides an automatic refueling control system based on artificial intelligence, which comprises a target vehicle information detection module, a fuel tank cap position identification module, a fuel tank cap opening control module, an insertion posture confirmation module, a refueling confirmation execution module, a database and a refueling completion reset module. Through cooperative work of a plurality of modules, automation of the whole process from vehicle entering a gas station to refueling completion is achieved, efficient, safe and reliable operation of vehicle refueling is ensured, meanwhile, by confirming target insertion posture information of a refueling gun, the refueling gun is controlled to be inserted into a refueling port, and the refueling efficiency is improved. The problem of insufficient attention of preparation control before automatic refueling of the vehicle at present is effectively solved, the influence of the vehicle posture and the influence of the refueling posture are fully considered, fine control over the corresponding posture of the refueling oil gun is achieved, and the stability of the refueling process and the reliability of oil quantity control are guaranteed.

The invention relates to the technical field of foundation pit engineering, and discloses a foundation pit enclosure structure soil pressure calculation method and system under bilateral coupling deformation, and the method comprises the steps: obtaining deformation correlation parameters of an enclosure structure of a target foundation pit; initial deformation fitting is conducted on the enclosure structure, active and passive initial soil pressure of the enclosure structure is obtained, and the initial soil pressure is associated with the embedding depth of the enclosure structure; the deformation correlation parameters and the initial soil pressure are input into the bilateral coupling deformation calculation model, and horizontal deformation of the two sides of the enclosure structure is obtained; inputting the horizontal deformation of the two sides into a non-limit soil pressure calculation model to obtain the soil pressure of the enclosure structure; and if the horizontal deformation on the two sides and the soil pressure do not meet the convergence requirement, inputting the soil pressure into the bilateral coupling deformation calculation model for iteration. According to the method, the stress conditions of the two sides of the enclosure structures can be considered, so that the mutual influence of stress between the enclosure structures on the two sides is coupled.

The invention relates to the technical field of wafer cleaning devices, and discloses a megasonic semiconductor wafer cleaning device which comprises a megasonic machine, a cleaning box and a semiconductor wafer, the cleaning box is arranged on the outer side of the megasonic machine, and the semiconductor wafer is arranged above the cleaning box. A rotating assembly and a shaking assembly which are used for assisting in cleaning semiconductor wafers are arranged above the cleaning box, a fixing assembly which is used for fixing the semiconductor wafers of different sizes is arranged above the cleaning box, and through the arrangement of the rotating assembly and the shaking assembly, the surfaces of the wafers can be covered more comprehensively in a composite motion mode, so that the cleaning efficiency is improved. The transmission of the worm gear rod and the worm has a self-locking characteristic, so that reverse rotation and shaking in the movement process can be effectively prevented, the rotation stability is ensured, wafer damage or non-uniform cleaning caused by unstable movement when a traditional device meets complex movement requirements is avoided, mutual interference generated among different driving mechanisms is reduced, and the service life of the device is prolonged. And the reliability and the compactness of the device are improved.

The invention discloses an intelligent agriculture platform construction method based on big data analysis and a visual model, and the method comprises the steps: arranging a sensor network, and monitoring the key environment parameters of a farmland in real time; using the unmanned aerial vehicle to shoot crop images; according to the shot crop image, identifying a part with pest and disease damage characteristics in the crop image; deducing the age of the crop leaf according to the shot crop image; a cloud platform is built, farmland related data is displayed in an integrated mode through the cloud platform, and decision suggestions are provided based on big data analysis according to all data input into the cloud platform. The system integrates multiple functions such as farmland data display, unmanned aerial vehicle fixed-point automatic cruise, disease and pest recognition and early warning, agricultural question and answer assistant and the like, and provides one-stop intelligent agricultural management service for farmers. The platform provides scientific guidance suggestions for agricultural production based on big data analysis, and assists in improving yield and quality.

The invention provides a low-load combustion optimization control system for a unit, and the system comprises a sensing network module which collects key parameters of the unit in a combustion process; the data preprocessing module is used for preprocessing the collected key parameters; the index analysis module is used for analyzing the energy balance deviation degree, chemical balance and combustion uniformity evaluation indexes of the current unit based on the preprocessed key parameters; the control strategy execution module is used for carrying out threshold value judgment on the result of each index and correspondingly executing preset energy balance, chemical balance and combustion uniformity strategies; the feedback regulation module is used for acquiring the executed feedback signal and performing new index analysis and cyclic regulation to form a closed-loop feedback mechanism; energy balance, chemical balance and combustion uniformity in the combustion process are analyzed and controlled, so that combustion stability and combustion efficiency are improved, pollutant emission is reduced, the service life of equipment is prolonged, and meanwhile, the adaptability of a unit to a power grid is enhanced.

The embodiment of the invention provides a server fan control method and device, a storage medium and electronic equipment, and relates to the field of computers.The server fan control method comprises the steps that state information of a control assembly of a target server in a shutdown state is obtained, the state information of the control assembly comprises an in-place state and a non-in-place state, and the control assembly comprises N assemblies; under the condition that at least one component in the N components is in the in-place state, the duty ratio of the PWM signals corresponding to the state information of the N components is found out from the relation mapping table, and the higher the duty ratio of the PWM signals is, the higher the rotating speed of the server fan is; based on the duty ratio of the PWM signal, a server fan is controlled to operate at a preset rotating speed, the target server supports a plurality of partitions, each component in the N components is arranged in one of the partitions according to a preset arrangement rule, and heat dissipation is performed on one group of components in the target partition by operating the server fan.

The invention relates to the technical field of radio frequency communication control, and discloses a beam forming accurate control method, which comprises the following steps of: acquiring a business service quality parameter and frequency domain channel information of a user; generating a user priority sequence; constructing a three-dimensional resource scheduling matrix; outputting a beam forming coefficient matrix and a power distribution result; and performing beam precise closed-loop regulation and control of the radio frequency array. The technical problems in the prior art that real-time resource scheduling and fine beam regulation and control are difficult to carry out in combination with user QoS dynamic changes, and stable beam forming control is difficult to realize especially in a scene that a chip supporting large-scale user concurrency needs to dynamically adjust beams according to QoS requirements are solved. According to the invention, the dynamic resource scheduling matrix fused with power perception is constructed, and a multi-dimensional feedback calibration mechanism based on amplitude-phase perturbation is combined, so that high-precision beam control is realized, and the communication stability and the regulation and control flexibility are improved.

The invention provides a motor control method and device, a vehicle and a readable storage medium, and the method comprises the steps: determining a corresponding first torque compensation coefficient according to the current rotating speed difference between a motor and a wheel end in an off-road mode, determining a corresponding first derating coefficient in the off-road mode according to the current actual temperature of the key component in the motor; according to the current rotating speed difference, the first torque compensation coefficient and the target torque, a first torque determination strategy in the off-road mode is adopted to determine the current required output torque of the motor, and according to the first derating coefficient and the peak torque of the motor, the maximum available torque of the motor in the off-road mode is determined; and determining the actual output torque of the motor by adopting a preset screening strategy according to the current required output torque and the maximum available torque, and controlling the motor to work according to the actual output torque. Therefore, by designing the temperature protection strategy and the torque compensation strategy of the motor, the cross-country ability of the vehicle can be effectively improved.

The invention provides a semiconductor manufacturing Q-time control method based on deep reinforcement learning, and relates to the technical field of semiconductors, and the method comprises the steps: obtaining technological parameters, an equipment state, inter-process waiting time and batch information, inputting the information into a deep reinforcement learning model based on a dual deep neural network, calculating a Q-time violation risk degree, and selecting a scheduling action; the model is trained by adopting a comprehensive reward function including Q-time violation punishment, production efficiency reward, equipment utilization rate reward and batch balance reward; and finally, a multi-target optimization decision module comprehensively considers productivity maximization and Q-time violation minimization to generate a scheduling instruction according to the real-time monitoring data and the selected scheduling action, and dynamically adjusts process arrangement.

The invention discloses a heat treatment process optimization method for metal wire rope processing, and relates to the related field of heat treatment, and the method comprises the following steps: obtaining conceptual design information of a conceptual metal wire rope, executing mechanical property analysis, and obtaining monomer mechanical properties of a metal wire monomer; executing raw material scheduling to obtain raw material attribute information; executing wire drawing process analysis to obtain a target wire drawing process; annealing process analysis is executed, and a global annealing process is obtained; the target wire drawing process and the global annealing process serve as heat treatment optimization processes to execute heat treatment processing of the metal wire monomers, and heat-treated metal wires are obtained; a wire rope twisting structure is adopted to twist, process and heat-treat the metal wires to obtain an entity of the concept metal wire rope. The technical problem that an existing heat treatment process for metal wire rope machining is insufficient in control fineness is solved, and the technical effect of achieving fine control over the heat treatment process for metal wire rope machining is achieved.

The invention relates to the field of free radical solution polymerization programmed monomer supplementation, in particular to a polyacrylonitrile spinning solution with an adjustable molecular sequence and a preparation method thereof.The preparation method comprises the steps that polymerization solution formula components and dosage ranges are determined, and the components comprise acrylonitrile, itaconic acid, methyl methacrylate or fumaramide and the like; the thermodynamic reaction temperature ranges from 60 DEG C to 66 DEG C, the total monomer concentration ranges from 18 wt% to 26 wt%, and the initiator concentration ranges from 0.072 wt% to 0.103 wt%. When preparation is started, all components except for partial itaconic acid are added, then itaconic acid is supplemented in batches, and the supplementing time and the proportion range interval can be calculated according to a specific formula. The itaconic acid is supplemented in a manner of body nitrogen blowing or metered addition after dissolution, and the solution concentration is less than or equal to 55wt%. According to the method, the molecular sequence can be accurately regulated and controlled, the homogeneity of the copolymer is improved, heat release in the polymerization process is uniform, a stable environment is provided for industrial production, meanwhile, a reaction system is optimized, and the reaction efficiency and the product yield are improved.

The invention discloses a preparation method of a porous metastable state iridium oxide composite catalyst, which comprises the following steps: uniformly mixing iridium salt, inorganic salt, metal salt, a dispersant and pre-ground sodium nitrate in a solvent, and adjusting the pH value of the solution to 1-3 to obtain a uniformly mixed solution; removing the solvent from the mixed solution to obtain a uniform powder mixture; uniformly grinding the powder mixture, and performing high-temperature roasting in a muffle furnace to obtain a composite metal oxide; and fully washing and drying the composite metal oxide to obtain the porous metastable iridium oxide composite catalyst. The iridium oxide is doped and compositely modified by adopting the inorganic salt, the metal salt and the pore-forming agent, the internal lattice structure, the electronic state and the void structure of the iridium oxide are adjusted, the catalytic activity and the stability are improved, and the method is simple, easy to implement, high in yield, capable of achieving large-scale mass production and beneficial to industrial application.

The invention discloses a design method of a bending detonation combustion chamber with a V-shaped passivated front edge, and belongs to the field of hypersonic velocity detonation engines of aircrafts. The oblique detonation engine aims at solving the problems of an existing oblique detonation engine in the aspects of detonation, standing, mixing and the like. According to the method, by determining the temperature increasing amplitude of the V-shaped front edge, the distance and flow parameters of a detached shock wave are determined by using a two-dimensional detached shock wave theory, the geometrical shape and interference type of a bent shock wave are determined based on a bent shock wave theory, and the crotch shape of the passivated V-shaped front edge is determined. And finally, constructing a geometric model and a combustion chamber geometric model according to the passivation angle and curvature of the V-shaped front edge. According to the method, the length of the engine can be effectively shortened, the formation and stability of detonation waves are improved, effective standing of the detonation waves is achieved, and normal work of the engine is guaranteed. The combustion chamber has the advantages of saving space, being easy to detonate, compact in structure and the like, and is suitable for a propelling system of a hypersonic aircraft.

The invention discloses an access traffic control method and device, computer equipment and a storage medium, and belongs to the technical field of big data. Firstly, a system obtains user identity information, establishes a user portrait and gives a corresponding weight; meanwhile, the user operation weight is calculated based on historical operation data of the user, and the interface access weight is calculated according to interface access data of the system. Then, the system calculates the comprehensive weight of the target interface requested by the user through the weights. Then, the system can determine all target interfaces requested by the user and sort comprehensive weights of the interfaces, so that a weight sequence of the request interfaces is generated; and according to the weight sequence, the system formulates a user access strategy so as to control the access flow of the user and output a corresponding access result. The invention further relates to the technical field of block chains, and the identity information is stored on a block chain network. According to the method and the device, high-concurrency access requests can be stably handled, and the efficiency of resource allocation and the reliability of interface access are also improved.

The invention belongs to the technical field of carbon materials and new energy materials, and particularly relates to a modified resin-based nitrogen-containing hard carbon material as well as a preparation method and application thereof. Melamine is introduced into a phenolic resin system to synthesize phenol-melamine-formaldehyde resin, triazacyclo-covalently polymerized resin molecules are formed, an organic pore-forming agent is synchronously used for adjusting the pore channel structure of the material, and after high-temperature carbonization, the high-temperature carbonization is performed to obtain the high-temperature-resistant phenolic resin. And the hard carbon negative electrode material for the sodium ion battery, which is high in nitrogen doping, rich in closed pore structure and disordered in microstructure, is prepared. After melamine participates in the reaction, a triazacyclo ring with a stable structure is introduced into a resin molecular structure, and the nitrogen-doped hard carbon material is formed after carbonization. Nitrogen elements are uniformly distributed in the carbon material and on the surface of the carbon material, abundant active sites are provided, and the reversible capacity of sodium ion storage can be improved.

The invention relates to a gas-phase silicon-carbon negative electrode material of a porous carbon base material, which comprises the following steps: preparing porous starch, preparing a silicon / porous carbon composite material, preparing a micron porous Mg2Si negative electrode, preparing a nano porous silicon / carbon composite negative electrode, performing carbon coating by a porous silicon acetylene CVD (Chemical Vapor Deposition) method, and controllably preparing the gas-phase silicon-carbon negative electrode material of the porous carbon base material. The gas phase precipitation method and the alloying method are creatively combined, the prepared negative electrode material has higher specific capacity and energy density, rapid transmission of lithium ions is facilitated, the stability of an electrode structure is kept, and the negative electrode material has the advantages of being good in cycle performance, high in safety, high in energy density and the like.

The invention provides a refrigerator and a control method thereof. The controller is designed to receive the time-of-use electricity price data and extract the target time period, the control parameter set capable of being dynamically adjusted is generated, and fine control over the running state of the compressor is achieved. Specifically, the control parameters are dynamically adjusted along with the time change in the target time period, so that the operation state of the compressor can flexibly respond to the electricity price change and the power grid load demand in different time periods. Compared with a method that the control parameters are fixed or the adjustment granularity is large in the prior art, the method has the advantages that the load can be adjusted more finely and dynamically in the target time period, the load trough is effectively filled, and the load peak is reduced, so that the smooth effect of a load curve is remarkably improved, the operation energy efficiency of the refrigerator is optimized, and the power utilization cost of a user is reduced.

The invention discloses a device and a method for laser crystal growth based on a seed crystal reentry method. The device comprises a furnace body and a control system, the lifting mechanism is arranged in the furnace body and is fixedly connected with the top of the furnace body; the lifting mechanism is connected with a seed crystal support, a rotating mechanism is arranged on the seed crystal support, and a torque detection device is arranged on the rotating mechanism; the seed crystal support is used for loading seed crystals; a crucible is arranged under the seed crystal, a plurality of heating units are arranged around the crucible, a rotating magnetic field generator is also arranged around the crucible, and a cooling system is arranged around the rotating magnetic field generator. According to the device and method for laser crystal growth based on the seed crystal reentry method, the eddy current phenomenon in the laser crystal growth process is effectively restrained by accurately controlling the intensity and frequency of the rotating magnetic field and optimizing magnetic field distribution.

The invention discloses a sheep semen diluent formula and a freezing method, and relates to the technical field of animal breeding, and every 100 mL of diluent is prepared from 0.28 g of functional amino acid, 0.07 g of bioactive peptide, 0.30 g of a buffering agent, 4.12 g of an osmotic pressure regulator and the balance ultrapure water. The preservation effect of the sheep semen is remarkably improved by accurately proportioning the functional amino acid, the bioactive peptide, the buffering agent and the osmotic pressure regulator, particularly, the specific concentration and proportion of the functional amino acid and the bioactive peptide provide necessary nutrition support for the semen, the activity and the survival rate of the semen are also promoted, and the survival rate of the semen is increased. By means of the innovative formula design, the sheep semen can still keep high quality after being diluted, a solid foundation is laid for follow-up cryopreservation, comprehensive protection of the biological activity of the sheep semen is achieved through careful component selection and concentration optimization, and the limitation of traditional diluents in component and effect is broken through.

The invention relates to the technical field of intelligent control, and particularly discloses an electric bicycle automatic production line intelligent control system comprising a data acquisition module used for acquiring detection data of stamping finished products; the data processing module is used for calculating a quality coefficient; the quality evaluation module is used for evaluating the quality of the stamped finished product, judging whether the quality of the stamped finished product is qualified or not and generating a quality evaluation signal; the relevance evaluation module is used for analyzing whether the quality of the stamped finished product is related to the stamping pressure or not and generating a relevance evaluation signal; the regulation and control module is used for regulating and controlling the stamping pressure in the stamping process based on the associated signals; according to the method, the quality of the stamped finished product is analyzed in multiple dimensions, so that the scientificity and the accuracy of quality evaluation are improved, and powerful technical support is provided for quality control of the manufacturing industry; the regulation and control strategy is based on real-time data feedback and predictive analysis, fine control over the stamping process is achieved, and the product quality and the production efficiency are improved.

The invention belongs to the technical field of interventional operation robots, and discloses an interventional operation robot main end which comprises a shell. The force feedback assembly is arranged in the shell; the force detection assembly comprises a force sensor and a force transmission mechanism; the force transmission mechanism comprises a fixed base, an elastic piece and a floating block arranged on the fixed base in a floating mode. The elastic piece is used for enabling the fixed base, the force sensor and the floating block to abut against one another in sequence. One end of the force sensor is connected with the floating block, and the force sensor is used for collecting the force generated by the movement of the floating block; the fixed base is connected with the force feedback assembly; the operation assembly is connected with the floating block; and the main end controller is electrically connected with the force sensor and the force feedback assembly. Due to the arrangement of the force transmission mechanism, fine regulation and control over force feedback are achieved, a doctor can feel the resistance condition more accurately in the surgical operation, and the operation accuracy is improved.

The invention discloses a storage device access method, a product, equipment and a readable storage medium, relates to the field of solid state disks, and aims to solve the problem of limitation in the aspects of security access control and data encryption and decryption of the solid state disks. Verifying the validity of a user digital certificate which is sent by the virtual machine system and comprises a user public key, and generating a first random number when the user digital certificate is valid; the user digital certificate is a digital certificate signed by a device private key matched with the device public key; encrypting the first random number by using a user public key to obtain encrypted data and outputting the encrypted data; and when the to-be-verified data is received, decrypting the to-be-verified data by using the first random number to obtain plaintext data, and when the plaintext data is valid, responding to a hard disk drive loading request sent by the virtual machine system. According to the invention, fine control of individual virtual functions can be realized, and data transmission performance is optimized while data security is ensured.

The invention discloses a speed curve variable scooter speed control method which comprises the following steps: acquiring accelerator push amount and gear information, and calculating an expected target speed; acquiring the vehicle speed in real time, and determining an expected speed difference value; constructing a linear velocity path, and performing dynamic adjustment through the prediction model; according to the control precision and the response time, the linear speed path is uniformly divided; calculating an acceleration value according to the speed curve type; the actual speed of the scooter is monitored in real time, and the subsequent acceleration value is adjusted; and repeatedly executing the steps until the instruction is stopped. According to the method, the expected speed difference value is accurately calculated, the segmented speed paths are flexibly generated, and variable acceleration control on each segment of path is realized in combination with the acceleration curve variator, so that the change of the acceleration of the scooter can be smoothly adjusted in real time, the rapidness and stability of the driving process are ensured, and meanwhile, the driving comfort is improved.

The invention discloses a method and system for preparing nano barium sulfate uniform particles based on ultrasonic assistance, and the method comprises the steps: conveying a sodium sulfate solution and a barium chloride solution into a reaction container in an isopyknic manner, adjusting the position and parameters of an ultrasonic transducer, and adjusting the power and frequency according to a preset curve; slowly transferring the slurry obtained by the reaction into a post-treatment container, adding a sodium hexametaphosphate solution, and carrying out dispersion treatment in an ultrasonic cleaning device; and subpackaging the product into a sealed container subjected to cleaning treatment in a continuous flowing manner, controlling the filling amount, and sealing for constant-temperature storage. According to the scheme of the invention, nano barium sulfate particles with small particle size and uniform distribution can be generated.