30results about How to "Fix instability" patented technology

The invention discloses a new energy station management system and method based on an intelligent power grid, and the system comprises a real-time monitoring module which is used for predicting the charging load fluctuation of an electric vehicle based on real-time monitoring data, a scheduling module which is used for adjusting the output of new energy power generation equipment according to the predicted load fluctuation, and an optimization module. The power distribution network management module is used for optimizing charging scheduling in a charging station and avoiding overload caused by peak charging at the same time, the dynamic adjustment module is used for dynamically adjusting the voltage and frequency of a power distribution network, and the real-time monitoring module is used for monitoring the state of the power distribution network in real time and dynamically updating a management strategy; according to the new energy station management system and method based on the smart power grid, the problems that in the prior art, due to instability and rapid change characteristics of electric vehicle charging loads, severe fluctuation of the loads can bring extra pressure to a power distribution network, the overload problem of the power distribution network is caused, and then the reliability and safety of the power grid are affected are solved.

The invention relates to the technical field of new energy, in particular to a new energy storage method and device based on the high-efficiency conversion technology and a medium thereof.The method comprises the following steps that 1, feature data generated by new energy storage are collected through a sensor and a monitoring tool, and the feature data are stored into a database; the method comprises the following steps: step 1, acquiring various monitoring parameters of new energy storage performance to obtain various monitoring parameters for analyzing the new energy storage performance, step 2, analyzing the various monitoring parameters of the new energy storage acquired in the step 1 to obtain various indexes of the new energy storage performance, and step 3, evaluating the various indexes of the new energy storage performance analyzed in the step 2, the method comprises the following steps: step 1, obtaining a qualified coefficient of each index of new energy storage, step 2, carrying out comprehensive analysis on the qualified coefficient calculated in the step 3 to obtain a comprehensive index of the energy storage performance of the new energy, and step 5, carrying out man-machine interaction on the comprehensive index of the energy storage performance of the new energy obtained by the comprehensive analysis in the step 4. Through the high-efficiency conversion technology, new energy is converted into electric energy, and the utilization efficiency of the energy is improved.

The invention discloses a method for manufacturing a copper-block-embedded double-sided printed circuit board, which comprises the following steps of: slotting a core board, and controlling the slot precision within + / -50 microns; the core plate is placed on a marble platform, the copper blocks are placed in the groove holes, and it is ensured that the flatness of the copper blocks is within + / -12.7 micrometers; plugging the hole with vacuum resin, and pasting a high-temperature adhesive tape to fix the copper block after plugging the hole; the baking plate is vertically placed or fixed by a special jig; a UC type coating drilling tool is used for drilling, a segmented drilling mode is adopted to cope with hardness differences of different materials, and the service life of a drill bit is dynamically set and strictly controlled according to the diameter of the drilling tool, the thickness of a copper block and a laminated plate structure; hole metallization is carried out, full-board electroplating is carried out, and it is ensured that the hole copper thickness is 25-30 [mu] m; manufacturing an outer-layer circuit by adopting a high-precision pattern transfer process; and carrying out surface treatment, molding and electrical testing. According to the manufacturing method of the copper-block-embedded double-sided printed circuit board, the displacement risk of the copper block in a double-sided board structure is reduced by 15% through the measures of marble platform flatness control, vertical board baking and the like, and the problems of copper block fixing, precise drilling and interface reliability are systematically solved.

The invention discloses a network security monitoring data processing method for an internet of things server, which comprises the following steps of: calculating a dynamic characteristic empirical threshold by combining the load rate stability and the access intensity volatility of the server, and adaptively adjusting the empirical threshold by monitoring the disturbance characteristic of a network flow data point in real time, so as to realize the network security monitoring of the internet of things server. According to the method provided by the invention, the network security monitoring precision of the Internet of Things server under the conditions of large flow and high load can be effectively improved, the false alarm rate is reduced, and the robustness and accuracy of a monitoring system are improved.

A shaft power monitoring system based on wireless power supply and micro-strain measurement comprises a rotor, a stator, a wireless power supply system and a display end, the rotor part collects shafting strain signals through a strain gauge, and after signal conditioning and digital processing are completed through a microcontroller, non-contact transmission of data is achieved through a wireless transmitting module; meanwhile, electric energy required by operation is obtained through a wireless power supply receiving end and a rectifying circuit board; the stator part receives and analyzes data transmitted by the rotor through a wireless receiving module, and signal management and state monitoring are carried out by a microcontroller; meanwhile, a rotating speed measuring module arranged in the stator monitors the rotating speed of the shaft system in real time, and continuous and stable energy support is provided for the rotor through a direct-current power supply and a wireless power supply transmitting end. According to the invention, through combination of a high-precision micro-strain measurement technology, wireless power supply and wireless data transmission, technical difficulties of a traditional shaft power measurement system can be effectively solved.

The utility model relates to environmental air particulate matter sampling device technical field discloses a kind of environmental air particulate matter sampling devices, including controller, the controller bottom is fixedly connected with tripod, the controller top is fixedly connected with lower cone, the lower cone inside is provided with filter membrane, the lower cone upper surface is provided with PM2.5 cutter, the PM2.5 cutter upper surface is provided with PM10 cutter, the PM10 cutter upper surface is provided with top cover, the PM10 cutter side wall is provided with dismounting assembly, the tripod side wall is provided with fixed component;The dismounting assembly includes fixed block, and the fixed block is fixedly connected in the PM2.5 cutter, PM10 cutter, top cover side wall respectively.In the utility model, by the sliding cooperation of fixed block and L-shaped sliding slot, and the engagement and separation of spring one driven clamping block, PM2.5 cutter, PM10 cutter and top cover are realized quick dismounting, and the maintenance efficiency of device is improved by the above structure.

The invention discloses an automatic parallel method based on a dual graph Mangbar network and strategy gradient optimization, and the method comprises the steps: firstly obtaining a public AI model data set, carrying out the operator fusion of each calculation graph G, and obtaining a feature matrix X; secondly, constructing a double TMAN comprising a TMAN branch and a decoupling graph neural network branch, and obtaining feature representations XM and XD from the feature matrix X in the two branches; xM and XD are averaged, the averaged XM and XD are input into an LSTM network for feature fusion, a feature representation # imgabs0 # of the double Titman-Bar network is obtained, finally the feature representation # imgabs1 # is input into a reinforcement learning iteration solving module, and an optimal parallel strategy is obtained through continuous iteration and optimization of an intermediate reward value. According to the method, the graph embedding expression capability is enhanced, and the problems of inaccuracy and stability caused by overlarge new and old strategy change difference of a traditional strategy gradient algorithm in the equipment placement problem are effectively solved.

The application relates to the technical field of clothes dryer accessories, in particular to a plastic-sealed integrated motor for a heat pump clothes dryer, which comprises a motor main body, a wire binding protection assembly and a stability protection accessory. The stability protection accessory provides convenience for the installation of the plastic-sealed motor and has corresponding stability, and the instability problem caused by the vibration of the motor during the working process is solved, so that the unstable connection between the tail wire of the motor and the equipment is avoided. The wire binding protection assembly is arranged to limit the tail wire, which further improves the connection stability and avoids the winding problem with other cables or components, meets the actual use requirement, and the wire binding protection assembly can select the first wire binding protection assembly or the second wire binding protection assembly according to the actual requirement, and has high working flexibility.

The invention discloses a data output method and device based on a large model, equipment and a storage medium, and relates to the field of computers, and the method comprises the steps: building a target connection with a server through a preset streaming interface, and receiving real-time model output data, transmitted by the server in a streaming data form, of a target large model through the preset streaming interface; storing the real-time model output data in a preset cache queue, and monitoring whether the target connection is interrupted or not in real time; if it is monitored that the target connection is not interrupted, whether the queue length of the current preset cache queue is larger than a preset queue length threshold value or not is judged, and whether the data output rate is adjusted or not is determined based on a corresponding queue length judgment result, so that the current target data output rate is obtained; and calling the target data output function, extracting target model output data from the preset cache queue based on the current target data output rate, and outputting the target model output data. The problem of instability of data receiving and display is solved so as to ensure smooth display of the data.

The invention discloses a special ceramic material stress reduction device, and relates to the technical field of special ceramic materials, the special ceramic material stress reduction device comprises a vibration box, a vibration frequency adjustable mechanism is fixedly mounted on the inner wall of the vibration box, the vibration frequency adjustable mechanism comprises a fixing plate fixedly mounted on the bottom surface of the inner wall of the vibration box, and a first motor is fixedly mounted on the side wall of the fixing plate; a cam is fixedly installed at the driving end of the first motor, a first connecting rod is rotationally installed at the protruding position of the cam, and a second connecting rod and a third connecting rod are rotationally installed at the end, away from the cam, of the first connecting rod. According to the invention, the vibration frequency is changed by adjusting the length of the screw rod, the instability problem of an electric control system is avoided, and the reduction effect is optimized by adjusting the vibration frequency in different stages of ceramic material stress reduction. Low-frequency vibration is adopted in the initial stage to avoid cracks, the frequency is improved in the subsequent stage to reduce micro stress, and the performance and the service life of the ceramic material are ensured.

The application relates to an antibacterial and antifouling reverse osmosis membrane and a preparation method thereof, and comprises the following steps: (1) uniformly dissolving a multiacyl chloride group organic compound in an organic solvent, then adding cyclodextrin, and carrying out ultrasonic treatment to obtain a cyclodextrin-organic acyl chloride inclusion compound solution; dispersing antibacterial nanoparticles in water, then adding an amino silane coupling agent, and stirring and dispersing to obtain a functionalized antibacterial nanoparticle suspension with amino groups on the surface; (2) uniformly coating the cyclodextrin-organic acyl chloride inclusion compound solution to one surface of a prefabricated reverse osmosis membrane, removing the excess solution on the surface after standing, and then coating the functionalized antibacterial nanoparticle suspension with amino groups on the surface on the surface with the cyclodextrin-organic acyl chloride inclusion compound, removing the excess solution on the surface after standing, and carrying out thermal drying to obtain the antibacterial and antifouling reverse osmosis membrane. The reverse osmosis membrane has excellent stability, small membrane sheet water flux attenuation, obviously improved antifouling capacity, and excellent antibacterial capacity.

The utility model relates to a portable glass slide fixing device for blood analysis and a portable blood cell picture acquisition system. The portable glass slide fixing device comprises a base unit, a three-dimensional moving unit, a clamping unit, a fixing unit, an irradiation unit and a control unit. The three-dimensional movable unit and the fixed unit are stabilized on the base unit, so that the image acquisition device is stabilized; the three-dimensional moving unit is detachably connected with the clamping unit, the clamping unit is used for clamping the glass slide on the side portion, the upper portion and the lower portion respectively, the problem that the glass slide is not stably fixed is solved, and under the action of the control unit, the clamping unit can move in the X direction, the Y direction and the Z direction through the three-dimensional moving unit so that the optimal shooting position can be determined. The glass slide can be shot from multiple angles, a user does not make contact with the glass slide in the shooting process, the risk that the glass slide is polluted is reduced, a light source is supplemented through the irradiation unit, the shooting effect is enhanced, the structure is simple, the operation difficulty is low, and the problem that operation needs to be conducted by professionals is solved.

The utility model discloses a magnetic positioning installation debugging device for electrical engineering, which relates to the technical field of magnetic positioning devices and comprises a debugger, a display screen is mounted on one side surface of the debugger, a control key is arranged on one side of the display screen, a jack is arranged on one side of the top end of the debugger, a connecting block is inserted into the jack, and a transmission line is connected to the top end of the connecting block. One end of the transmission line is fixedly connected with a magnetic positioner; according to the utility model, the clamping block is tightly matched with the mounting seat, so that the mounting seat can be stably fixed on the debugger, the mounting stability of the mounting seat is improved, and the function of preventing the mounting seat from loosening and falling off can be realized; a rectangular through opening formed in the mounting seat is matched with a hanging rope, so that the worker can conveniently hang the hanging rope on the body after penetrating through the rectangular through opening; finally, the problems that an existing device is pulled on a hand through a hanging rope and is prone to falling off due to hand sliding, and the device installation base is not stably fixed are solved, and the safety and stability of device use in the electrical engineering installation and debugging process are improved.

The invention relates to a BP neural network end guidance method based on knowledge enhancement improvement, and belongs to the field of end guidance. A proportion plus navigation (PPN) guidance law is combined, and the guidance precision is improved. According to the method, through a knowledge-enhanced BP neural network, the future position and speed of a target are predicted by using the historical motion track of the target, and the flight path of an aircraft is adjusted. Specifically, the nonlinear feature learning ability of the BP network is improved by using knowledge enhancement, and the tracking and intercepting ability of the rapid maneuvering target is effectively improved by combining the proportion of the PPN guidance law and the navigation mechanism. By innovatively combining prior information of knowledge enhancement and the self-learning ability of the BP neural network, the method shows higher adaptability at a guidance terminal, and the hit precision of a guidance system can be remarkably improved.

The present invention provides a pitch mechanism stabilization control method based on dual-cylinder coordinated motion, and relates to the technical field of pitch mechanism stabilization control. The method arranges sensors at key positions of the pitch mechanism to collect pitch angle and acceleration data in real time, and sets the load and friction coefficient based on this. The core of the method is to define and calculate the error of the pitch angle and its speed, and to use fuzzy control rule design and PID control real-time and dual-cylinder coordinated motion algorithm to ensure the stability and controllability of the system under the dynamic model. In the process of continuous feedback and verification, by comparing the simulated output of the model with the actual data, optimizing the control parameters, and setting the performance evaluation indicators under different working conditions, a comprehensive evaluation of the control system response time, overshoot and error is achieved, thereby improving the overall performance and stability of the pitch mechanism.

The present invention discloses a method, system and application for identifying agricultural product varieties based on image and spectrum fusion. The training method comprises: obtaining RGB images and hyperspectral data; obtaining fused images; training a deep learning model; the deep learning model is obtained by adjusting the basic YOLOv5 model, omitting the second upsampling module and the corresponding transfer connection, omitting the corresponding detection head module in the head network, and replacing the first-level C3 module in the backbone network with a convolutional block attention module. The present invention adopts a data fusion strategy to feature fuse hyperspectral information with RGB image information, and based on the improved YOLOv5 deep learning method, establishes a soybean variety identification model based on feature fusion data, and adopts a fused classification model to predict the category of target agricultural product seeds, thereby solving the instability problem of a single feature and achieving accurate and efficient identification of agricultural product varieties.

The present invention provides an energy storage converter that can store energy when sufficient power is generated and discharge when the voltage is insufficient. In order to solve the above technical problems, the present invention provides the following technical solutions, including an energy storage shell, wherein an input port, an output port, a control module and a storage capacitor are arranged in the energy storage shell, wherein the input port and the output port are respectively connected to the control module, wherein the control module is connected to a plurality of storage capacitors, wherein each storage capacitor is connected to the control module through a contact connection mechanism, wherein the control module stores the electric energy input from the input end in the storage capacitor in sequence through the contact connection mechanism, and the storage capacitor outputs the electric energy stored in the storage capacitor from the output port through the contact connection mechanism.

This invention relates to the fields of cosmetics and pharmaceutical chemistry, and discloses a glycyrrhizin salicylate ester and its applications. The structural formula of the glycyrrhizin salicylate ester is shown in Formula I. The glycyrrhizin salicylate ester of this application uses glycyrrhizin and salicylic acid as starting materials, and combines the two active molecules into one through dehydration ester condensation, fundamentally solving the problem of easy oxidation and inactivation of glycyrrhizin, and significantly improving chemical stability. At the same time, this structure cleverly masks the strongly acidic carboxyl group of salicylic acid, resulting in a significant reduction in skin irritation of the final product, making it far milder than physical mixtures, with better tolerance and suitability for a wider range of skin types. The glycyrrhizin salicylate ester of this application combines the excellent whitening and antioxidant effects of glycyrrhizin with the excellent keratin-regulating and anti-inflammatory capabilities of salicylic acid, and has broad application prospects in the preparation of topical products for skin whitening, spot fading, anti-inflammation, anti-acne, and anti-photoaging.

The invention relates to the technical field of satellite navigation and positioning, in particular to a GNSS observation station comprehensive evaluation and optimization method fusing subjective and objective weights, which comprises the following steps: acquiring and preprocessing original observation signals and precision products of a GNSS observation station, and resolving by using a multi-frequency non-combined precision single-point positioning model to obtain observation station quality indexes; carrying out space division and clustering on the geographical coordinates of the observation station by utilizing a K-Means + + algorithm; constructing an analytic hierarchy model and an information entropy model based on the observation station quality indexes, respectively calculating subjective weights and objective weights, and carrying out geometric fusion to obtain comprehensive weights; and grouping according to a clustering result, calculating a close degree coefficient of each observation station by using a TOPSIS model in combination with the comprehensive weight, and outputting an optimal observation station set. According to the invention, by fusing multi-frequency UCPPP quality evaluation, spatial clustering and subjective and objective weight decision models, scientization of observation station quality evaluation and equalization of spatial distribution are realized.

The invention provides a reinforcement learning-based large model intention understanding fine tuning method and device, and relates to the technical field of artificial intelligence, and the method comprises the steps: processing a current input based on a large model, and generating a local sample group containing a plurality of candidate responses; determining a reward value of each candidate response based on the intention matching reward value and the slot position matching reward value of each candidate response; based on the difference between the reward value of each candidate response and the reward mean value, determining the relative advantage value of each candidate response; and updating the parameters of the large model based on the relative advantage value of each candidate response. According to the method and the device provided by the invention, strategy gradient updating is carried out by adopting the relative advantage value, so that the variance of the reward estimation value is effectively reduced, and the instability problem possibly caused by independent establishment of a value network is avoided; and in combination with a refined reward function which is specially designed for the intention understanding task and comprises an importance level and a multi-dimensional matching strategy, the accuracy of executing the intention understanding task by the large model is improved.

The utility model discloses a kind of wearable bone conduction hearing auxiliary devices, it is related to hearing aid auxiliary equipment field. Including hearing aid vest, the surface of hearing aid vest is provided with the opening for taking and placing object, the opening of hearing aid vest is connected with zipper, the surface of hearing aid vest is sewn with the object pocket, the surface extension of hearing aid vest inside is provided with mainboard, the package body both sides of hearing aid vest are respectively fixedly connected with side edge wearing adjustment mechanism. The utility model device is targeted to install clavicular vibration module in upper binding belt, chest vibration module is attached to chest, accurately corresponds sternum and clavicle two optimal parts sensitive to sound and resistant to strong vibration. Vibration is transmitted to thoracic skeleton through sternum, or is conducted to skull through clavicle, both bypass outer ear and middle ear obstacle, directly act on inner ear auditory nerve, while keeping binaural open and taking into account environmental sound, significantly improve bone conduction efficiency and hearing aid effect.

The embodiment of the invention provides a video super-resolution method, system and device based on a diffusion model and a medium, and the method comprises the steps: constructing a training sample set which comprises a low-resolution sample video and a high-resolution sample video corresponding to the low-resolution sample video; an initial diffusion model is constructed, and the initial diffusion model comprises an encoder module, a time embedding module, a Unet network module and a decoder module; performing multi-round iterative training on the initial diffusion model by using the training sample set to obtain a target diffusion model; and performing video super-resolution processing on a to-be-processed low-resolution video by using the target diffusion model to obtain a high-resolution video. A time embedding module is introduced into an initial diffusion model, so that the randomness and uncertainty of an image generation process in the diffusion model are suppressed, and the model can learn video frame features of different time steps.

The present invention relates to the technical field of new energy vehicle rental management system, and discloses a rental management system and method for new energy vehicles, wherein the system comprises a central control terminal, a vehicle-mounted terminal and a detection component, wherein the central control terminal is respectively connected to the vehicle-mounted terminal and the detection component for communication, the vehicle-mounted terminal is used to collect vehicle driving status information and transmit it back to the central control terminal in time, the detection component is used to collect the status of the vehicle before and after rental, and upload it to the central control terminal for recording, and the detection component comprises a vehicle appearance detection unit and a vehicle chassis detection unit, and the vehicle appearance detection unit and the vehicle chassis detection unit are both located on a supporting bottom plate; the comprehensive image acquisition and recording of the appearance of the new energy vehicle and the battery components on the chassis are realized, and the stability and safety of the vehicle when the rental personnel rent the new energy vehicle are guaranteed.

The invention discloses a method for quantifying virtual inertia support capacity and allocating load shedding power in a wind farm, comprising calculating the inertial response capacity H of the wind turbine set under MPPT, overspeed load shedding and underspeed load shedding modes based on the parameters of the wind turbine set. w1 , H w2 and H w3 , and obtain the operating inertia constant range of each wind turbine; calculate the wind turbine wake speed affected by the Jensen wake effect, and correct the wake wind speed to obtain the corrected wake wind speed; calculate the wind power P captured by the wind turbine based on the corrected wake wind speed w (t); Based on P w (t) Update H w2 and H w3 , thereby updating the inertia constant range; calculating the wake influence factor B of the wind turbines in the wind farm on the kth wind turbine k , based on B k Update the corrected wake wind speed to obtain the corrected wind speed of the wind turbine; based on H w1 、After update H w2 and the wind turbine corrected wind speed, and calculate the weight coefficient γ of each wind turbine i , based on γ i Allocate the overall inertia response capability and load shedding power demand of the wind farm obtained in real time. Flexibly adjust the wind power virtual inertia and load shedding power.

The utility model provides an automatic feeding system based on a fork-shaped knife switch. A field programmable gate array (FPGA) core module is adopted, so that a logic circuit is in hard connection to control two fork-shaped knife switches to work complementarily, and ball feeding and ball feeding speed are automatically controlled; the scheme that whether glass balls exist on the detection platform is judged through laser spectrum intensity is adopted, and system operation is more stable and reliable; the fixed inclined flat plate with the two rectangular hole grooves is adopted, so that the front end part of the knife switch slides in the rectangular hole grooves, and the stability of the knife switch is improved.

The utility model relates to leather production technical field discloses an energy -saving hot -press finishing equipment for leather product, including base, the base top middle fixedly connected with the placing plate, the base front and back both sides are provided with the supporting plate, the supporting plate top middle fixedly connected with the hydraulic cylinder, the hydraulic cylinder bottom is provided with the hot -press plate. In the utility model, through fixed plate, motor, screw rod, movable block, displacement sensor, temperature sensor cooperation realizes the position adjustment according to the size and shape of leather product to ensure that hot -pressing process accurate positioning, and through temperature sensor to the real -time detection of hot -pressing temperature, prevent local overheating or temperature deficiency, through placing plate, pressboard, sliding slot, limit hole, bolt, spring, draw plate cooperation realizes the adjustment sliding plate position to adapt to different size leather, improves equipment versatility, and can firmly fix leather on the placing plate, effectively solves the leather unsteady problem of fixing.

This invention discloses an intelligent control system and method for moisture and temperature during the first humidification stage of leaf re-drying. The system includes: a main PLC, a data acquisition PLC, a server and a client (including a data acquisition unit and a database). The main PLC control module reads real-time process parameters of the first humidification stage and controls the moisture and temperature at the outlet of the first humidification stage based at least on the predicted results. The data acquisition PLC communicates with the main PLC. The data acquisition unit reads historical and real-time process parameters and writes the predicted values ​​of outlet moisture and temperature. The database stores historical and real-time process parameters of the first humidification stage and the predicted values ​​of outlet moisture and temperature. The client reads real-time process parameters and predicts outlet moisture and temperature using a machine learning model. The intelligent control system and method for moisture and temperature during the first humidification stage of leaf re-drying provided by this invention predicts the moisture and temperature of the tobacco leaves at the outlet in real time through a machine learning-trained model, enabling proactive intervention in the amount of steam and water applied to the humidification cylinder.

This utility model discloses an automatic sampling device for belt conveyors, including a concrete foundation installed directly in front of a funnel, and a head roller mounted on a head frame. A rotary gearbox is installed on the front wall of the funnel, and a sampler is installed on the rotary gearbox. The rear of the sampler is connected to a hydraulic cylinder. A receiving hopper is located directly below the sampling spoon of the sampler, and a sample bag is provided at the outlet of the receiving hopper. A rotating receiving device is located on one side of the receiving hopper, and the rotating receiving device is driven to rotate by a receiving stepper motor. This utility model also includes a programmable PLC controller, sensors, and an HMI (human-machine interface), which can control and monitor the operating status of the sampling device in real time, including motor operating parameters, sensor working status, and perform fault alarms and recording. This utility model adopts an automated standard timed sampling method, eliminating the safety hazards of manual sampling, improving the authenticity and stability of sampling, and ensuring safe and convenient operation.

The application relates to the technical field of ultrasonic flaw detection, in particular to an ultrasonic flaw detection method and system based on pulse reflection, which has the technical scheme as follows: S1, collecting real-time vibration information and temperature information of a measured body; S2, constructing a propagation disturbance representation model based on the information in S1; S3, generating a compensation excitation pulse; S4, emitting the compensation excitation pulse; S5, collecting echo signals and obtaining residual signals through matched filtering and cross-correlation processing, and updating phase correction amounts and amplitude coefficients based on the signals and reference echoes to realize closed-loop compensation; the application collects vibration, temperature and geometric data through multiple sensors, constructs a propagation disturbance model and dynamically calculates phase correction amounts and amplitude weighting coefficients, compensates for environmental influences, generates a compensation pulse, emits and processes echo signals using an array transducer, realizes high-precision defect detection, adopts a closed-loop control mechanism, automatically adjusts flaw detection parameters based on residual estimation and feedback, and ensures stability.

The invention provides thrombin powder capable of being stored at normal temperature and a preparation method of the thrombin powder. The preparation method comprises the following steps: weighing hydroxyl-beta cyclodextrin, then taking a thrombin solution subjected to cryopreservation, and unfreezing in a water bath for later use; the preparation method comprises the following steps: weighing a proper amount of water for injection, mixing the water for injection with hydroxyl-beta cyclodextrin, stirring to a dissolved state, weighing a thawed thrombin solution, adding the thawed thrombin solution into the dissolved hydroxyl-beta cyclodextrin solution, stirring for 60 minutes by using a stirring motor to enable the hydroxyl-beta cyclodextrin to fully wrap thrombin protein, then supplementing the water for injection to a full dose, and stirring and mixing uniformly; the method comprises the following steps: firstly, carrying out sterilization filtration on a prepared solution by using a polyethersulfone cylindrical filter with the aperture of 0.45 mu m, then filtering and sterilizing by using a sterilized polyethersulfone cylindrical filter with the aperture of 0.22 mu m under the local A condition of a C-grade environment, and sampling and checking visible foreign matters after sterilization is completed. The long-term stability of the thrombin solution at normal temperature and the stability in the transportation process can be effectively ensured by adopting a technology of coating thrombin protein molecules with hydroxyl-beta cyclodextrin.