1765results about How to "Reduce performance" patented technology

The invention discloses a method for testing the dynamic response characteristic of a power supply by simulating the load change of the power supply, and relates to the technical field of power supply testing, and the method comprises the steps: generating a simulation load change sequence based on a preset load change mode, and enabling each load value to correspond to a specific time point; inputting the simulated load change sequence into the power supply to be tested, and controlling the power supply to be tested to work according to the simulated load change sequence by using the multi-channel synchronous test system so as to simulate the load change in the actual use process; a high-precision data acquisition module is used for acquiring and recording output voltage values, output current values and corresponding timestamps of the to-be-tested power supply under different load conditions at a sampling rate not lower than a first set value, and a dynamic response data set is formed; and processing the dynamic response data set by using a preset data calibration algorithm, and calculating dynamic response parameters of the to-be-tested power supply at each load change point. The motor power supply testing device has the effect of improving motor power supply testing precision.

The invention relates to the technical field of equipment calibration, in particular to a semiconductor detection equipment calibration system, which comprises the following modules: an initialization module for initializing parameters of semiconductor detection equipment; the warping prediction module is used for establishing an edge warping prediction model and predicting edge warping conditions of wafers with different diameters; the diameter compensation module is used for establishing an edge compensation model and calculating a diameter compensation value according to the wafer edge warping degree predicted by the edge warping prediction model; the feedback adjustment module is used for automatically adjusting image generation parameters of the semiconductor detection equipment according to the diameter compensation value; the verification module is used for carrying out comparison verification on the compensated wafer image and the actual wafer diameter according to experimental analysis; and the application module performs automatic matching and diameter compensation. According to the method, the edge warping prediction model and the diameter compensation model are introduced, so that the diameter measurement error caused by wafer warping can be effectively predicted and compensated, and a remarkable effect on pre-calibration of semiconductor detection equipment is achieved.

The invention relates to the technical field of air conditioner energy-saving systems, and discloses a central air conditioner energy-saving automatic control system and method.The central air conditioner energy-saving automatic control system comprises a sensor module, a control module, a communication module, an intelligent control algorithm module, a dynamic adjusting module and an energy-saving optimization module; the sensor module comprises a temperature sensor, a humidity sensor, a CO2 sensor, an illumination sensor and an occupation sensor, the temperature sensor is used for monitoring indoor and outdoor temperatures and providing real-time data for decision making of a control system, and an NTC (negative temperature coefficient thermistor), a PTC (positive temperature coefficient thermistor) or a DS18B20 digital temperature sensor is adopted. The environment parameters are monitored in real time, the operation state of the air conditioning equipment is dynamically adjusted, the high-energy-consumption operation mode of a traditional air conditioning system is avoided, cooling / heating according to needs is achieved, energy consumption is effectively reduced, the mode is automatically switched to the energy-saving mode in the state that the number of personnel activities is small or no one exists, and therefore the effect of remarkably reducing the operation load and energy consumption can be achieved.

The invention provides a multi-parameter collaborative optimization battery charging and discharging management system integrated with a thermal management technology, and aims to improve the charging and discharging efficiency and safety of a battery and prolong the service life of the battery. The system monitors key parameters such as the temperature, the voltage, the current and the internal resistance of the battery in real time through a high-precision sensor, and the parameters are comprehensively analyzed through the data fusion technology. A core optimization algorithm adopts a genetic algorithm or deep learning, a charging and discharging strategy is dynamically adjusted, and battery performance maximization is achieved. The thermal management module effectively controls the temperature of the battery through a cooling fin, a liquid cooling system or a phase change material, overheating and supercooling are prevented, and the safety and stability of the battery are improved. The user interface is friendly, the battery state is convenient to monitor and adjust, and the system has wide application prospects in the fields of electric automobiles, renewable energy storage and the like.

The invention discloses a heterogeneous federal fine tuning language model construction method and system based on differential privacy, and the method comprises the steps: a parameter server firstly carries out the clustering of clients with similar capabilities, carries out the sensing clustering according to resources, obtains a larger-rank adaptive matrix for each class according to the class with the large computing power of the computing resources, and carries out the calculation of the resources; therefore, the flexible rank of the low-rank adaptive matrix is realized, and the fine tuning performance is enhanced. In each class, privacy federal fine tuning is adopted, including two parts of noise distribution with sensitivity perception and regular term optimization, so that better training efficiency and reduced noise influence are obtained. Between each class, heterogeneous low rank adaptive matrix aggregation is performed through a knowledge distillation technique, including knowledge aggregation and selection of high quality knowledge to enhance the local model. According to the method, strict privacy guarantee can be provided, the influence of differential privacy on fine tuning of the low-rank adaptive matrix can be relieved in a heterogeneous environment, and higher efficiency and accuracy are realized.

The invention provides a preparation method of a bipolar plate of a redox flow battery, which comprises the following steps: adding a coupling agent into resin and graphite powder, so that one end of the coupling agent is wound with the resin, the other end of the coupling agent is chemically crosslinked with the treated graphite powder to form a crosslinked net-shaped three-dimensional structure, and meanwhile, adding a conductive polymer to increase a conductive path between flexible graphite; the high-density graphite paper on the upper side and the lower side of the bipolar plate can prevent electrolyte of the flow battery from entering the bipolar plate, and the situation that the performance of the bipolar plate is reduced due to the fact that resin is in direct contact with the electrolyte is avoided.

The invention relates to a secondary water supply optimal scheduling method and device for a building, and aims to realize efficient, stable and intelligent operation of a secondary water supply system through water supply demand prediction, multi-objective optimal scheduling and real-time monitoring and feedback. The method comprises the following steps: predicting future water demand by using a long short-term memory neural network, constructing a multi-objective optimization model containing energy consumption, water supply pressure and pump set life, and solving an optimal scheduling scheme by adopting a genetic algorithm. By monitoring water supply pressure and flow in real time and dynamically adjusting start and stop and frequency conversion speed regulation of the water pump, energy-saving operation of the system is ensured, and the service life of equipment is prolonged. The system is suitable for secondary water supply systems of high-rise buildings and large building groups.

The invention relates to the technical field of measurement and testing, in particular to a humanoid robot joint module performance testing system which comprises a testing frame and a top frame fixed to the surface of the testing frame and further comprises a compression resistance testing assembly arranged above the testing frame. The stress condition in an actual working state can be better simulated, accurate data support is provided for performance test and optimization of the joint module, the required pressure can be accurately applied under different test conditions by adjusting the output pressure of the loading hydraulic cylinder, the joint module is positioned by the positioning claw and the positioning block, and the test efficiency is improved. The pressure resistance and stability of the joint module in actual use can be better known, accurate data support is provided for design and optimization of a robot, deviation of measured data such as pressure and deformation caused by deviation of the joint module in the testing process is avoided, and therefore accurate performance testing data are obtained.

The invention discloses a microscopic image super-resolution reconstruction method based on an improved diffusion model. The microscopic image super-resolution reconstruction method comprises the following steps: acquiring paired high-resolution images and corresponding low-resolution images as a data set; training an improved diffusion model by using the training set; a given low-resolution image is subjected to up-sampling by using an interpolation algorithm to obtain a high-resolution image, the low-resolution image and the corresponding high-resolution image are input into a trained improved diffusion model to obtain a corresponding super-resolution image, an efficient diffusion model is introduced, the reasoning efficiency is improved, and the reconstruction effect is good.

The invention discloses a polyp segmentation method based on edge guidance and deep supervision PVT. The method aims at a colonoscope image with a polyp, and outputs the position and the shape of the polyp by using a constructed polyp segmentation network. The polyp segmentation network uses PVT-v2 as a backbone network for feature extraction, and further comprises a context fusion decoding branch, a boundary extraction branch, a boundary sensing module and a cascade feature fusion branch. And the context fusion decoding branch serves as an image decoder and receives a semantic feature map output by the PVT-v2 backbone network. And the boundary extraction branch enriches the content of the detail feature map by using a refining module to obtain an edge prediction result. And the boundary sensing module fuses the refined features and the output feature map of the context fusion decoding to obtain a boundary sensing prediction result. And the cascaded feature fusion branch fuses fusion features under different scales layer by layer according to a sequence from deep to shallow, and outputs a final polyp segmentation prediction result P5.

The invention discloses a fuel cell fault-tolerant control method and device based on reinforcement learning in the field of fuel cells, and the method comprises the steps: obtaining monitoring parameters of a fuel cell in an operation state, and constructing a state space based on the monitoring parameters; obtaining an executable operation in the running state of the fuel cell, and constructing an action space based on the executable operation; constructing a reward function based on the state space and the action space by taking control cost minimization as a target; constructing a fault-tolerant control strategy model based on a DDPG algorithm, and training and verifying the fault-tolerant control strategy model through a state space, an action space and a reward function; and fuel cell fault-tolerant control is carried out through the trained and verified fault-tolerant control strategy model. According to the method, the DDPG algorithm is introduced, target state parameters are monitored in real time in the operation process, a control strategy is automatically adjusted by using reinforcement learning when a fault occurs, it is ensured that the system can still keep stable power output under the fault condition, and optimal control is achieved.

The invention discloses a modularized intelligent identification and configuration system for a portable Internet of Things electric energy metering box, and relates to the technical field of Internet of Things. Electric energy data are collected in real time through an integrated sensor network, and are cleaned, compressed and preliminarily filtered by a data processing module; a deep learning algorithm is adopted to perform feature extraction and abnormal power consumption behavior detection on the data, and rapid response is ensured; a graphical operation interface is provided through the user interface module, and a user is allowed to update configuration immediately according to requirements; the link state is monitored through the LACP, the optimal link is automatically selected, and stable data transmission is ensured; temporarily storing data through a local cache and backup module when the network fluctuates, and automatically synchronizing the data to the cloud after the network is recovered; the system load is monitored through the self-adaptive optimization module, resource allocation is dynamically adjusted, and efficient and stable operation of the system is guaranteed; the data processing speed of the metering box equipment of the electric power internet of things is greatly improved, and the flexibility and the stability are enhanced.

The invention provides a water electrolysis hydrogen production system and a control method thereof.The water electrolysis hydrogen production system comprises a water tank, a heat exchanger, an electrolytic bath and a hydrogen-water separator which are sequentially connected through a pipeline, and further comprises a water quality optimization branch, a water inlet end and a water outlet end of the water quality optimization branch communicate with the water tank; the system further comprises a branch variable frequency pump and a resin tank; the first drainage valve is arranged on a drainage pipeline communicated with the drainage port of the water tank; an inlet conductometer and an anode thermometer to detect a first real-time conductivity and real-time temperature of liquid entering the anode input end of the electrolytic cell; the outlet conductivity meter is used for detecting the second real-time conductivity of fluid flowing out of the oxygen output end of the electrolytic bath, and controlling the operation of the branch variable frequency pump and the opening and closing of the drain valve according to the first real-time conductivity, the real-time temperature and the second real-time conductivity; the problem that the service life of an electrolytic cell is short due to the water quality problem of a water electrolysis hydrogen production system in the prior art is solved.

The invention belongs to the technical field of medicine supply, and particularly relates to a personalized federal learning-based medicine purchase quantity prediction method, which realizes model data sharing on the basis of protecting the problem of user privacy disclosure. The drug purchase quantity prediction method comprises the following steps: S1, determining hospitals and drugstores participating in a region, and collecting and preprocessing data; s2, selecting and constructing a federal learning model, wherein the constructed model is a DCNN-LSTM hybrid model; s3, performing training, parameter cutting and transmission, aggregation and optimization on the model constructed in the step S2, wherein the data is not out of the local; s4, performing prediction and application on the optimization model obtained in the step S3; and S5, supply chain adjustment. According to the method, doctor-patient information leakage is prevented, information communication overhead is reduced, development of a medical intelligent system is promoted, and key support is provided for promoting sustainable development of the intelligent medical system and further development of the artificial intelligence industry by utilizing the federated learning technology and accurately predicting the drug demand quantity.

The invention discloses a reclaimed oil bio-based plastic modified rubber material and a preparation method thereof, and the reclaimed oil bio-based plastic modified rubber material comprises the following components by weight: 30-70 parts of bio-based plastic, 10-40 parts of natural rubber, 5-25 parts of plant fiber, 5-50 parts of calcium powder, 0.3-1.5 parts of a vulcanizing agent, 0.8-2 parts of zinc oxide, 0.3-0.9 part of an accelerator, and 1-10 parts of a foaming agent. The invention relates to the technical field of rubber materials, in particular to an antibacterial and mildew-proof rubber material. The regenerated oil-based bio-based plastic is innovatively applied to modification of a rubber material, a new application way of the bio-based material in the field of rubber-plastic compounding is developed, a new thought is provided for solving the environmental and resource problems caused by a petroleum-based material, and the selection of the raw materials not only embodies effective utilization of renewable resources, but also has the advantages of environmental protection and environmental protection. The carbon emission is reduced, and the development trend of current green materials is met.

The invention provides a cloud computing-based narrow-linewidth 1200 nm semiconductor laser data processing system, and relates to the technical field of data processing, and the system comprises a laser transmitting module which is used for transmitting a narrow-linewidth 1200 nm laser beam by using a semiconductor laser; the data acquisition module is used for being connected with the laser emission module, acquiring state parameters, including power, wavelength, line width and working environment data, of the laser beam in real time, and preprocessing and digitally converting signals output by the sensor; and the cloud processing platform module is used for receiving and processing the data of the data acquisition module, realizing real-time analysis, anomaly detection, trend prediction and remote monitoring of the data, and obtaining an analysis result of a cloud processing platform. According to the invention, remote intelligent monitoring and automatic optimization adjustment of the laser are realized, and the data processing efficiency and the performance stability of the laser are improved.

The invention discloses an SBS modifier and a preparation method and application thereof, an asphalt coating material composition and a preparation method thereof, and a waterproof coiled material. The preparation method of the SBS modifier comprises the following steps: dissolving SBS in a first solvent to obtain an SBS solution; the method comprises the following steps: adding a sulfydryl compound into an SBS solution, and carrying out solution graft polymerization at 50-90 DEG C to obtain graft modified SBS which is grafted with alkyl containing any one of hydroxyl and carboxyl through sulfydryl, or grafted with sulfydryl and grafted with hydroxyl substituted or unsubstituted alkyl through sulfydryl; adding the biomass carbon aerogel and the graft modified SBS into a second solvent according to a mass ratio of 1: (0.5-1.5) to obtain a first mixed solution; adding concentrated sulfuric acid and sodium hypophosphite into the first mixed solution, and reacting at the temperature of 120-130 DEG C to obtain the SBS modifier. According to the preparation method of the SBS modifier, the polarity of the SBS is changed through sulfydryl grafting of the SBS, namely the polarity of the SBS is closer to that of asphalt; and the grafted modified SBS reacts with the biomass carbon aerogel to form a macromolecular compound, so that the performance degradation in the aging process of the coiled material is prevented.

The invention relates to the technical field of energy management and control, in particular to a wind-light-electricity energy storage flexible coordination optimization method and system, and the method comprises the steps: predicting the operation state of wind-light power generation equipment, and improving the stability of energy supply; by analyzing the charging and discharging requirements of the energy storage equipment and formulating an energy storage charging and discharging strategy, the utilization rate of the energy storage equipment is improved, and power grid supply and demand can be effectively balanced; the charging and discharging process of the energy storage equipment is finely controlled, the energy storage charging and discharging strategy is dynamically adjusted, the charging and discharging power of the energy storage equipment is optimized, and the energy consumption cost is reduced; by evaluating the performance of the energy storage equipment and creating a fault judgment mechanism, potential faults are found in time, fault expansion is avoided, an accurate maintenance strategy can be formulated according to the fault level and type, and the maintenance efficiency is improved. The method is used for solving the technical problem of insufficient energy management and control and scheduling optimization of intelligent power grid management in the existing scheme.

The invention discloses an instrument landing course beacon system capable of resisting multipath interference, and relates to the technical field of air traffic management. The system comprises a signal generation module used for generating a radio frequency signal; the channel signal module and the clearance signal module are used for processing and decomposing the radio frequency signal to obtain a channel correction signal and a clearance correction signal; the signal output module is used for correcting and outputting original channel signals and clearance signals based on the channel correction signals and the clearance correction signals, and the feedback module is used for sampling output signals of the signal output module and comparing the output signals with radio frequency signals to obtain error values. According to the invention, high-precision control and adjustment of the radio frequency signal can be realized, independent and rapid adjustment of the beam shape is realized, the anti-multipath interference capability of the instrument landing system is improved, and the operation efficiency of an airport is improved.

According to the anion exchange polymer, the anion exchange membrane, the method and the device provided by the invention, a cationic group with high alkali resistance is introduced into a polyaryl polymer structure, and meanwhile, a cationic side chain is introduced, so that the ionic conductivity and the alkali-resistant stability of the anion exchange polymer are synchronously improved; the anion exchange membrane prepared from the anion exchange polymer has the advantages of excellent ionic conductivity and alkali-resistant stability, can stably operate for a long time in a high pH value environment, and is not easy to degrade or reduce the performance. Therefore, the anion exchange membrane has remarkable advantages in electrochemical processes such as water electrolysis hydrogen production, so that the anion exchange membrane has a wide application prospect in electrochemical devices such as a water electrolysis reactor and the like.

The invention provides a microwave program-controlled step attenuator. The microwave program-controlled step attenuator comprises a plurality of stages of step length switching units, the stepping length switching unit comprises a straight-through sheet which is fixedly arranged, at least two attenuation sheets which are arranged above the straight-through sheet at intervals, and a group of movable contact springs which are respectively positioned at two ends of the attenuation sheets; each movable contact spring is connected with a push rod which moves along the axis of the push rod and is used for driving the movable contact spring so that the inner end of the movable contact spring can make contact with the attenuation piece or the straight-through piece. The outer end of the movable contact spring is rotatably connected with one end of the fixed contact spring which is fixedly arranged through a rotating column, and the push rod is rotatably arranged around the rotating column corresponding to the movable contact spring connected with the push rod and used for driving the movable contact spring to rotate so that the inner end of the movable contact spring can be switched to correspond to different attenuation slices; and the other end of the fixed reed is rotationally connected with the outer end of the movable reed of the adjacent step length switching unit through a rotating column, or is vertically connected with the radio frequency connector. According to the scheme, multi-step length switching can be achieved, and good stability can be kept on the basis of achieving switching.

The invention relates to the technical field of road and bridge pavement detection, in particular to a road and bridge asphalt pavement detection device. Comprising a paver and further comprises a viscosity detection mechanism, the viscosity detection mechanism comprises an installation frame, the paver is fixedly connected with the installation frame, an electric push rod is installed at the bottom of the installation frame, the telescopic end of the electric push rod is fixedly connected with a [-shaped frame, the bottom of the [-shaped frame is fixedly connected with an elastic telescopic shaft, and the telescopic end of the elastic telescopic shaft is fixedly connected with a detection plate. And the detection plate is in sliding connection with the n-shaped frame. Through the design of the viscosity detection mechanism, when asphalt is laid, a detection plate is inserted into an asphalt mixture, the asphalt mixture can be adhered to the detection plate according to the viscosity characteristics of new asphalt and recycled asphalt, and the viscosity of the asphalt mixture can be detected by observing the scales on the top surface of the detection plate and in the [-shaped frame. According to the method, the blending proportion of the asphalt mixture can be judged, so that performance reduction of the asphalt mixture caused by excessive new asphalt or recycled asphalt in the asphalt mixture is prevented.

The invention relates to the field of containers, and discloses a Python project mirror image construction method, device and equipment and a storage medium, and the method is used for constructing a Python project mirror image by adopting a multi-stage construction strategy so as to reduce the size of the mirror image. The method comprises the following steps: acquiring a first lightweight basic mirror image as a construction stage basic mirror image, and installing a basic dependency item and a construction tool; copying a dependency file in the Python project into the basic mirror image in the construction stage, and generating a dependency layer in combination with a construction tool; copying a code in the Python project into the basic mirror image in the construction stage, and executing a construction step in the code to obtain a construction product; obtaining a second lightweight basic mirror image as a running environment basic mirror image, and copying the dependency layer and the construction product into the running environment basic mirror image to obtain an initial mirror image; and performing compatibility verification on the initial mirror image, and using the initial mirror image passing the verification as a Python item mirror image.

The intelligent cutting equipment comprises a supporting frame, a pipe conveying mechanism, a pipe rotating mechanism and a cutting mechanism, the side face of the cutting mechanism is provided with a flow adjusting mechanism and a self-adaptive spray head, the pipe conveying mechanism comprises a sliding table, a lead screw and a first motor, the sliding table is slidably connected with the supporting frame, and the lead screw penetrates through the sliding table to be in threaded connection with the sliding table; the pipe rotating mechanism comprises a rotating disc, a chuck and a second motor, the rotating disc is rotationally connected with the supporting frame, the second motor is rotationally connected with the rotating disc through the synchronous belt and the synchronous wheel, the chuck is fixedly installed on the rotating disc, and the cutting mechanism comprises a laser cutting head and a telescopic air cylinder. The cutting mechanism is installed on the top of the supporting frame, and a cooling flow channel is formed in the side wall of the laser cutting head. The problem that in the prior art, a laser cutting head cooling refrigerant cannot be adjusted in a self-adaptive mode according to the cutting head, so that resources are wasted or the cooling effect is poor is solved.

The invention relates to a flame-retardant rubber and plastic thermal insulation material and a preparation method thereof, and belongs to the technical field of high polymer materials. The flame-retardant rubber-plastic thermal insulation material comprises the following components in parts by weight: 50-75 parts of nitrile rubber, 20-45 parts of PVC resin, 10-15 parts of a plasticizer, 1-10 parts of a foaming agent, 1-5 parts of a foaming promoter, 10-40 parts of a composite flame retardant and 2-6 parts of a modified anti-aging agent, cyclohexanehexol phosphate in the composite flame retardant is heated and dehydrated into phosphoric acid, a barrier layer is formed to inhibit release of combustible materials, and dimethylallylamine combusts to absorb heat and cooperates with phosphorus-oxygen double bonds for flame retardance; a pre-product in the modified anti-aging agent reacts with a free radical of a rubber molecular chain, so that the heat resistance and the aging resistance of the material are improved, a maleimide group enhances an intermolecular acting force, the rigidity and the heat resistance of the molecular chain are improved, and material aging caused by high temperature is reduced; the flame-retardant rubber and plastic thermal insulation material prepared by the invention not only has an excellent anti-aging effect, but also has good flame retardance.

The invention relates to the technical field of battery piece cutting, in particular to a photovoltaic panel battery piece cutting device which comprises a cutting device body, a laser head and a cutting table and further comprises multiple negative pressure suction cups, the negative pressure suction cups are located on the cutting table, and the multiple negative pressure suction cups are used for adsorbing and fixing the battery piece; the fixing assembly is arranged on the cutting table, and the fixing assembly is used for driving the negative pressure suction cup to adsorb and fix the battery piece; the photovoltaic panel battery piece cutting device comprises a fixing assembly and a separation assembly, the separation assembly is arranged on the fixing assembly, the separation assembly is used for driving a negative pressure suction cup to drive a battery piece subjected to laser cutting to deflect, and therefore the battery piece which is not completely cut is controlled to be separated along a preset cutting line. The negative pressure suction cup can firmly adsorb the battery piece, meanwhile, the separation process of the battery piece can be accurately controlled by controlling deflection of the negative pressure suction cup, automatic operation is achieved, manual intervention is reduced, and the cutting efficiency is improved.

The invention relates to the technical field of current collectors, in particular to a composite copper current collector and a preparation method thereof. A polymer and an active material are subjected to heating melting, extrusion, sheet casting and two-way stretching processes to obtain a modified polymer film; forming copper layers on the upper side and the lower side of the modified polymer film respectively by adopting a chemical plating method; and finally, preparing an anti-oxidation layer on the copper layer so as to obtain the composite copper current collector. According to the composite copper current collector prepared by the method, the composite copper current collector is prepared by a one-step method, namely a chemical plating method, and the problems of high energy consumption and low yield caused by a physical vapor deposition procedure in a traditional preparation process are successfully solved. Compared with a traditional method, the performance of the prepared composite copper current collector is not worsened, meanwhile, energy consumption is greatly reduced, and the yield is greatly increased.

The invention belongs to the field of material processing, and discloses a method for preparing microalloyed AZ31 magnesium alloy by ultrasonic treatment, which comprises the following steps: melting magnesium at 715-725 DEG C, keeping the temperature for 5-8 minutes, then heating to 725-735 DEG C, then adding Mg-50% Al intermediate alloy, after Mg-50% Al is completely melted, keeping the temperature for 8-12 minutes, slagging off, stirring to completely dissolve Mg-50% Al, continuously keeping the temperature at 725-735 DEG C, adding pure zinc, and stirring to obtain the microalloyed AZ31 magnesium alloy. After the pure zinc is completely molten, carrying out heat preservation for 8-12 minutes, then carrying out slagging-off and stirring to completely dissolve the pure zinc, finally adding Mg-30% Ca and Mg-30% Ce intermediate alloys, carrying out heat preservation for 8-12 minutes, and carrying out stirring to completely dissolve the Mg-30% Ca and Mg-30% Ce intermediate alloys to obtain an alloy melt; the alloy melt is cooled to 655-665 DEG C, heat preservation is conducted for 20-25 minutes, then an ultrasonic treatment tool head stretches into the position 18-22 mm below the liquid level of the alloy melt for ultrasonic treatment, the ultrasonic treatment power is 300-700 W, and the treatment time is 60-120 seconds; and casting and molding under a protective atmosphere to obtain a casting blank. According to the method, the problem of slow diffusion in the casting process is solved through ultrasonic treatment, the structure is homogenized, and the strength of the structure is obviously enhanced.

The invention relates to the field of path planning, in particular to a path planning method and device based on an RRTstar algorithm, equipment and a storage medium. According to the method, path exploration and planning are carried out by adopting an optimized RRT tree from a starting task point and an ending task point at the same time, the path generation speed is increased by means of powerful computing resources of a computer, and the planning efficiency is improved; then the original path depth is smoothed, the problem that the depth fluctuation of a middle path point is too large can be solved, the path is smoother, and for application scenes such as an autonomous underwater robot sensitive to depth, the influence of depth change on the performance and safety of internal instruments of the autonomous underwater robot can be reduced; iteratively optimizing the smooth path to further improve the quality and adaptability of the path; and finally, the navigation state is obtained according to the iterative optimization path, and the final navigation optimization path is obtained through adjustment according to the navigation state, so that the path planning better fits the actual navigation condition, the feasibility and safety of the path are enhanced, and it is guaranteed that the path planning is better from multiple aspects as a whole.

The invention discloses a handheld security check imaging method based on MEMS assistance, and aims to combine an MEMS sensor with an MIMO radar plate to form a handheld convenient security check imaging method with high precision and low cost according to the rapid and fine security check requirement of people in a security check place with dense people. Firstly, the radar board transmits a linear frequency modulation signal and receives an echo signal reflected by a target, and during the period, the MEMS sensor feeds back the motion track and position information of the handheld security check system in real time, and provides accurate attitude and position information. And secondly, position calibration is carried out on the track information of the MIMO radar antenna through the data of the MEMS sensor, and the zero drift of the accelerometer is compensated based on the wavelet packet change, so that the error caused by the system motion and the position change is reduced. And finally, residual phase errors are estimated and eliminated based on a particle swarm algorithm, non-contact three-dimensional imaging of the target is realized in combination with a wavenumber domain imaging algorithm on this basis, and hazardous article inspection is realized in combination with technologies such as deep learning and image recognition.