107results about How to "Solve the speed problem" patented technology

The invention discloses a multi-light-spot centroid extraction method and device based on an FPGA, a medium and a product, and relates to the field of digital image processing, and the method comprises the steps: firstly, caching image line data through a first-stage FIFO and a second-stage FIFO, forming three continuous groups of image line data streams, effectively solving the problems of data synchronization and processing rate matching, and improving the data processing efficiency; then, effective pixels of the light spots are accurately determined by means of a pixel threshold value, and different light spot areas are accurately divided by means of line continuity judgment and boundary marking, so that repeated recognition and error recognition of the light spots are avoided, and the accuracy of light spot recognition is greatly improved. And finally, according to the weighted average positions of the gray values of the effective pixels of all the light spots, the target centroid coordinates of the target light spots are calculated, the internal gray difference of the light spots is fully considered, and compared with a conventional method, the light spot energy distribution center is more accurately reflected, so that the calculation precision of the light spot centroid is remarkably improved.

The invention belongs to the field of oil-gas exploration seismic data processing, and relates to a first-motion wave travel time chromatography velocity inversion method, system and device and a medium. According to the method, the first arrival travel time and the grid unit travel time are acquired, and the minimum grid unit travel time is selected; an initial velocity field closer to a real structure is established through micro-logging constraint so as to replace a conventionally used gradient velocity field. The initial velocity field and the first arrival travel time are combined to construct the target function, the slowness information and the regularization information are added in the target function, the multi-information constrained target function is obtained, and the inversion stability and the calculation precision are improved. And adopting a Gaussian-Newton method to minimize the target function of the multi-information constraint, solving the minimized target function of the multi-information constraint, and carrying out iterative updating on a solving result to obtain an inversion velocity field. Explicit calculation and sensitive kernel function storage are not needed, the method is more suitable for large-scale data processing, and the calculation time of speed inversion and the requirement for storage space are reduced.

The invention belongs to the technical field of industrial internet, and particularly relates to an adaptive extension method and system for SaaS (Software as a Service) application based on the industrial internet. According to the method, intelligent resource scheduling and self-adaptive extension are realized when a SaaS application platform processes a user uploading service, the resource demand in a service period is predicted at first, the remaining resource state is monitored, and then resource scheduling is carried out on the basis of resource demand prediction, remaining completion time and resource distribution change. According to the method, resource allocation is optimized and missing resources are supplemented through distributed enhanced scheduling at the minimum total cost, and finally, resource allocation parameters are adjusted through continuous testing and evaluation, so that efficient service processing and optimal cost are ensured; through dynamic monitoring and intelligent scheduling, adaptive expansion of SaaS application resources is realized, the response speed and the resource utilization rate of the system are improved, and the operation and maintenance cost is reduced.

The invention discloses a Region-level remote disaster recovery method, system and device based on a Paas cloud platform and a medium, in the Paas cloud platform, a WAN optimization technology is adopted, and a data compression algorithm, an acceleration algorithm and a cache algorithm are adopted, so that the data transmission time delay and network congestion are reduced, and the data synchronization efficiency and speed are improved; a remote multi-activity technology is introduced, so that the main data center and the backup data center simultaneously provide services to the outside, high availability and disaster tolerance of services are ensured, the main data center is automatically switched to the backup data center when the main data center breaks down, and rapid fault switching is realized; a load balancing mechanism and a fault switching mechanism are adopted, the flow is automatically switched to the backup data center when the main data center breaks down, and rapid fault switching is achieved. By adopting the WAN optimization technology, the time and delay of cross-geographic-position data synchronization are reduced, and the reliability and real-time performance of data synchronization are ensured.

The invention relates to the technical field of quality detection, in particular to a meat dish quality detection system which comprises a data acquisition module, a first determination module, a second determination module, a judgment module, a correction module and an alarm sending module. According to the method, the quality control level of the meat ball production line is effectively improved through accurate multi-parameter analysis and a step-by-step judgment mechanism, potential quality problems such as cracks, over-wet or over-dry defects can be accurately recognized by monitoring the moisture content, the sphericity and the deformation quantity of the meat balls in real time, the clamping pressure is dynamically adjusted, and the quality of the meat balls is improved. The system can adapt to different production conditions in real time, the influence of too large or too small clamping force on the shape and taste of meatballs is avoided, a real-time feedback mechanism of the correction module ensures that the production process can be rapidly adjusted during fluctuation, the defective rate in production is effectively reduced, and the production efficiency is improved. The problems of low detection precision and slow response speed caused by dependence on static data are effectively solved.

The invention provides an interactive multi-model infrared time-sensitive target tracking method fusing image features, aiming at solving the problem that the motion state of a ground target is difficult to determine due to rigid motion generated by an airborne camera influenced by air flow and strong maneuverability of the ground target in infrared target tracking in an air-ground scene. According to the method, under the framework of Kalman filtering, a target detection result is used as a state observer, inter-frame registration is introduced to compensate for errors caused by coordinate system transformation due to shaking of an airborne platform, strong maneuverability of a ground moving target is represented by interactive multiple models, and finally, the moving target is accurately tracked through data association. The tracking method provided by the invention is low in complexity, can well adapt to a complex environment of air-ground imaging, and has important engineering significance, and the tracking precision is not influenced by the precision of a target detection result.

The invention relates to the technical field of image communication, in particular to an intelligent camera with active defense and a defense method thereof, and the intelligent camera comprises a data acquisition module, an extraction module, a judgment module, a determination module, a screening module and a defense module. According to the invention, through fusion of a multi-parameter analysis technology and combination of the target position, the attitude angle and the height of a real-time image and dynamic changes of sound intensity, accurate identification of an intrusion target is realized, and the judgment module adopts a multi-level logic of combination of boundary judgment and attitude angle change, so that the accuracy of abnormal target judgment is effectively improved; the screening module reduces erroneous judgment through comprehensive screening of sound intensity and position; the defense module calculates a launching track based on the real-time position and height of the target, fixed-point active defense is achieved through a water bomb, passivity of a traditional voice alarm mode is avoided, and the problem that the response speed is not timely due to single fingerprint recognition and vibration monitoring data is effectively solved.

The invention relates to the technical field of building wastewater treatment, and discloses a low-carbon building wastewater separation and cyclic utilization device which comprises a treatment mechanism, a water inlet pipe, a stirring assembly, a water inlet pipe, a water outlet pipe, a water outlet pipe and a water outlet pipe, the sealing door plate is hinged to the outer surface of the treatment box body; and the slag scraping mechanism comprises a rotating shaft seat fixedly mounted in the inner cavity of the treatment box body. Floating particles on the surface of a water body are scraped and collected through a multi-layer blade rotating wheel of the slag scraping mechanism, a diatomite filtering and adsorbing medium in the collecting part is used for adsorption treatment, an isolation filter plate further intercepts residual fine particles, and the problems that the fine suspended particles are low in sedimentation speed and float on the surface of the water body are effectively solved; the solid-liquid separation effect is integrally improved, suspended particles in water are more thoroughly removed, and the water quality is remarkably improved, so that the wastewater treatment efficiency is improved, and the treatment time and cost are reduced.

The embodiment of the invention provides a power system robust optimization method and device considering meteorological uncertainty. The method comprises the steps of obtaining historical wind and light output data, historical load power consumption data, historical meteorological data and day-ahead meteorological data of a power system; carrying out serialization processing on system elements of the power system to obtain a serialization processing result; based on the serialization processing result and the equivalent reliability index of the electric power equivalent system, determining the credible capacity of the electric power system; performing point prediction on the wind and light output and the load power to correspondingly obtain a wind and light output prediction result and a load prediction result; fitting the wind and light output prediction result and the load prediction result to correspondingly obtain an output prediction power interval and a load prediction power interval; constructing a day-ahead scheduling planning model; performing correction processing on the day-ahead scheduling planning model to obtain an intra-day scheduling optimization model; and solving the day-ahead scheduling planning model and the intra-day scheduling optimization model to obtain a power optimization strategy of the power system.

The invention discloses a networked vehicle queue system model prediction control method based on data driving. The method comprises the steps that motion data sets of different vehicle types in a vehicle queue system are acquired; carrying out data driving modeling on the longitudinal dynamics of the vehicles in the vehicle queue by combining deep learning and a Koopman operator theory to obtain a data driving model; determining a communication topological structure and a system control target; based on the data driving model, a distributed model prediction control algorithm is designed, controller design is achieved, and finally the purpose that the vehicle queue system keeps stable driving of an expected target is achieved; according to the method, non-convex optimization problem solving caused by nonlinear model constraint is avoided.

The invention is suitable for the field of target detection repelling, and provides a transformer substation bird repelling control method and system based on target detection, and the method comprises the steps: carrying out the preprocessing of a to-be-detected image through an image enhancement module, extracting image features through a backbone network stacking convolution layer, carrying out the feature fusion through a neck structure, and forming a multi-scale feature; outputting an edge feature and a category result of a target object in the to-be-detected image through a detection head module; an alarm signal is generated in response to a driving instruction generated based on the edge features and the category result, the alarm signal is transmitted to an intelligent control system through a communication module, and the intelligent control system issues an action instruction to a gas pipeline electromagnetic valve of an air compression injection system at an alarm point through a DO module after operation of a CPU module. And injecting compressed gas to repel the target object. According to the invention, birds in the transformer substation area can be repelled, and safe operation of the transformer substation can be effectively protected.

The embodiment of the invention provides a TCP (Transmission Control Protocol) congestion control method, device, equipment, medium and product, and relates to the field of computer networks, the method comprises the following steps: taking a bandwidth upper limit as a core constraint benchmark, combining the core constraint benchmark with smooth RTT and effective MSS to calculate a corresponding congestion window upper limit, and accurately regulating and controlling the congestion window through layered window constraint, so that the congestion control efficiency is improved. It is ensured that a congestion window always adapts to network transmission characteristics and resource allocation requirements, congestion caused by too large windows or resource waste caused by too small windows is avoided, meanwhile, the rhythm sending rate is calculated based on the bandwidth upper limit, the rhythm sending rate of a current application is dynamically updated through double judgment of a change rate threshold value and a minimum updating interval, and the user experience is improved. The real-time adaptation of the rhythm sending rate and the bandwidth upper limit is realized, the problem of insufficient collaboration of window adjustment and rate control in the prior art is solved, network resources are fully utilized while excessive sending is avoided and the transmission stability is guaranteed, and the TCP congestion control efficiency is improved.

The present application provides a method for preparing a fast-dissolving hyaluronate, wherein the fast-dissolving hyaluronate is prepared using hyaluronate and a binder as raw materials, wherein the binder is selected from one or more of monosaccharides, disaccharides, oligosaccharides, sugar alcohols, and soluble dietary fibers. The preparation method of the present application can solve the problems of dust pollution and slow dissolution rate during the use of hyaluronate. The preparation method of the present application granulates the hyaluronate to prevent the generation of small particles of dust, and can be quickly dispersed and dissolved in a liquid, thereby saving time and cost. In addition, the preparation method of the present application does not use an organic solvent and is safer.

This application provides a motor load adaptive adjustment method based on analog circuits, relating to the field of motor control technology, including the following steps: converting the load current in the motor circuit into a first voltage signal, and generating a mode selection signal based on the amplitude and rate of change of the signal; wherein, when the amplitude of the first voltage signal exceeds a first threshold and its rate of change exceeds a second threshold, the mode selection signal indicates a dynamic response mode; otherwise, the mode selection signal indicates a steady-state adjustment mode; when the indication is a steady-state adjustment mode, the first voltage signal is introduced into a first path, which includes a first error amplifier with a first proportional coefficient; when the indication is a dynamic response mode, the first voltage signal is introduced into a second path, which includes a second error amplifier with a second proportional coefficient greater than the first proportional coefficient; generating and outputting a motor drive signal according to the adjustment signal output from the selected path.

The embodiment of the present invention provides a file index information processing method, device, electronic device and storage medium. The method includes: writing the target file data to be stored into the target storage resource under the storage management node; determining the target file index sub-table from the target file index resource associated with the target storage resource and writing the file index information of the target file data to be stored into the target file index sub-table; when reading the file data, searching for the preset file index sub-table adapted to the target file data to be queried from the preset file index resource associated with the preset storage resource under the storage management node; and performing the target file data to be queried reading operation in the preset storage resource associated with the preset file index resource to which the adapted preset file index sub-table belongs based on the file index information recorded in the searched adapted preset file index sub-table. This solution is adopted to solve the problem of slow retrieval and reading speed when storing massive image data in security business.

This invention relates to the field of asynchronous motor control technology, specifically to an asynchronous motor speed control method and system based on an improved Super-Twisting sliding mode algorithm. The method includes: (1) deriving the fourth-order nonlinear differential equation of a three-phase squirrel-cage asynchronous motor in a rotating coordinate system d-q based on rotor magnetic field orientation theory; (2) designing a linear sliding surface based on the error between the set speed and the feedback speed; (3) using the first-order differential equation of rotor speed in step (1) and the linear sliding surface described in step (2), and introducing a variable proportional differential term based on the traditional Super-Twisting sliding mode algorithm to design a fast Super-Twisting sliding mode speed controller; (4) constructing a variable exponential switching function to replace the sign function in the fast Super-Twisting sliding mode speed controller described in step (3), thus completing the design of the improved Super-Twisting sliding mode speed controller. This solution effectively solves the problems of slow response speed and poor control accuracy in existing systems, thereby improving the overall robustness of asynchronous motor control.

This invention relates to the field of power electronics technology, specifically to a switching relay control circuit and control method. The switching relay control circuit includes a signal control module, a power drive module, and a protection module. The signal control module receives an input control signal and outputs a drive signal. The power drive module responds to the drive signal by applying a first voltage to the relay coil to activate it, and automatically reduces the first voltage to a second voltage to maintain the activated state after activation. The second voltage is higher than the relay release voltage. The protection module provides unidirectional protection and voltage clamping for the circuit. This invention enables rapid and reliable relay activation, significantly reduces holding power consumption, and improves the circuit's anti-interference capability.

This invention belongs to the field of autonomous driving technology, specifically providing a multi-target detection method based on millimeter-wave radar, applicable to multi-target detection in close-range scenarios. Building upon existing MUSIC algorithms, this invention performs azimuth estimation on the range-Doppler spectrum, solving the matching problem between the range, velocity, and azimuth of radar measurement points, and effectively improving azimuth resolution. Furthermore, it innovatively proposes using the continuity of azimuth angles for the same target point while clutter points exhibit disordered azimuth angles to filter out clutter points, reducing the likelihood of clutter being identified as targets. Simultaneously, it employs a combined AP clustering and DBSCAN clustering algorithm to cluster the filtered target points, eliminating the influence of the number of target points, reducing the probability of missed target detection, and improving target detection accuracy and robustness.

The utility model relates to a grassland excrement collecting shovel which comprises a bucket, a bucket connecting part used for being connected with a driving mechanism is arranged on the bucket, idler wheels are arranged on the two sides of the bucket, a first positioning part and a second positioning part are arranged on a side plate of the bucket, and the idler wheels are detachably connected with the first positioning part or the second positioning part through a lifting assembly. When the lifting and placing assembly is connected with the first positioning part, the idler wheel is contained on the side of the bucket, and when the lifting and placing assembly is connected with the second positioning part, the lower end position of the idler wheel is lower than the bottom of the bucket. When animal waste is collected, the rolling wheel is connected with the first positioning part, the rolling wheel is stored on the side of the bucket, the bucket driving mechanism drives the bucket to drag, and an opening of the bucket faces the advancing direction of the bucket so as to shovel the animal waste. When the animal waste is transported, the roller is connected with the second positioning part, and the bucket moves through the roller to avoid continuously shoveling the animal waste.

The invention relates to the technical field of data processing, in particular to an automatic filling method based on a browser, which comprises the following steps: acquiring filling duration, correction frequency and selection frequency; determining a temporary field; determining an automatic field; determining a filling field; determining a prediction field; and adjusting the threshold value and filling. According to the method, the filling duration, the correction frequency and the selection frequency of the user in the website browsing process are collected and analyzed in real time, the form fields can be intelligently recognized and automatically filled, the filling habit of the user can be accurately predicted and adapted by dynamically adjusting the duration threshold value, the form filling efficiency and accuracy are effectively improved, and the user experience is improved. Compared with a traditional static automatic filling mode, the method is more personalized, the filling strategy can be optimized in real time according to user behaviors, tedious steps of user operation are reduced, the user experience is improved, and the problems that the response speed is low and the filling adaptability is poor due to the fact that processing depends on a server side are effectively solved.

This utility model relates to the field of machine tool processing technology, specifically to a heat dissipation vortex tube for an ultra-low temperature micro-volume environmentally friendly cooling system; it includes a heat dissipation valve body, a distribution network, a vortex tube, a vortex seat, a distribution valve, a seat nut, an air inlet connector, a regulating valve, and a silencer; the vortex tube is threadedly connected to the heat dissipation valve body, the vortex seat is fixedly connected to the vortex tube, the distribution valve is fixedly connected to the vortex tube, the seat nut is threadedly connected to the vortex seat, the air inlet connector is threadedly connected to the vortex seat, the regulating valve is threadedly connected to the heat dissipation valve body, and the silencer is threadedly connected to the heat dissipation valve body. This allows the vortex tube assembly to generate ultra-low temperature compressed gas more quickly even at higher ambient temperatures, thereby meeting the need for rapid cooling of the high heat generated during machine tool cutting, ensuring the machining accuracy of the machine tool, significantly improving tool life, reducing cooling smoke, and significantly improving the workshop production environment.

The present invention discloses a semiconductor photodetector chip and a preparation method thereof, comprising at least one photodetector unit, each photodetector unit comprising an optical coupler, a coupled optical waveguide and a micro-ring structure semiconductor lateral avalanche photodetector, the micro-ring structure semiconductor lateral avalanche photodetector comprising a silicon substrate, a silicon oxide layer, an anode contact region, a first P-type region, a ridge waveguide absorption region, a second P-type region, an avalanche region, an N-type region and a cathode contact region. The present invention is suitable for detecting and imaging weak light signals under very low absorption coefficients, and the use of a micro-ring structure does not increase the size of the device, thereby solving the problems of low detection rate and low operating speed in the prior art under weak light signals.

The application relates to a hybrid inverter parallel-off-grid switching device and a switching switch device, the switching switch device comprising a relay, a shutdown module, a first starting module, a second starting module, a switching control module and a control module, the relay being connected with the shutdown module, the first starting module, the second starting module and the switching control module respectively, and the switching control module being further connected with the control module and the second starting module respectively. The switching switch device is applied to the hybrid inverter parallel-off-grid switching device, the relay can be quickly shut down through the shutdown module of the switching switch device, the disconnection speed of the hybrid inverter when quickly switching to the energy storage power supply mode during power grid failure is improved, power grid loss is reduced, and the problems of slow disconnection speed and large loss of the existing hybrid inverter when quickly switching to the energy storage power supply mode during power grid failure are solved.

The invention relates to the technical field of environmental perception fusion positioning, and provides a positioning method and system based on a Bayesian filtering neural network, and electronic equipment, and the method comprises the steps: obtaining an observation waveform matrix generated after a base station receives a waveform signal transmitted by a target object at each sampling moment; inputting the observation waveform matrix into a preset positioning model to obtain positioning information of the target object; the positioning model uses a recurrent neural network to fit a Bayesian filtering result, the recurrent neural network is trained through a cost function including motion likelihood and observation likelihood, the motion likelihood is generated based on a motion model of a target object sample, and the observation likelihood is generated based on position information of the target object sample determined by adopting a parameter estimation algorithm. The method is used for overcoming the defects that in the prior art, when a Bayesian filtering algorithm is applied to environment perception fusion positioning, a positioning result can be obtained only by depending on an approximation algorithm and complex derivation, and then the positioning speed and the positioning precision are affected.

The invention discloses an electric spark machining anomaly classification and recognition method and system, and relates to the technical field of machining anomaly recognition, and the method comprises the following steps: segmenting a continuous signal to obtain discrete signal segments, carrying out the signal extraction of the discrete signal segments to obtain feature data, forming a multi-dimensional feature vector according to the feature data, and carrying out the classification and recognition of machining anomaly. Inputting the multi-dimensional feature vector into a multi-granularity anomaly classifier, outputting coarse-granularity candidate category probability distribution and fine-granularity candidate category probability distribution, and performing calculation based on the coarse-granularity candidate category probability distribution and the fine-granularity candidate category probability distribution to obtain a preliminary anomaly recognition result of the time window; and based on the preliminary anomaly identification result of e time windows, a multi-window verification and state maintenance mechanism is adopted, and a final anomaly category is output, so that the whole process optimization of processing anomaly from rapid early warning and fine classification to reliable decision making is realized, the false alarm and missing report rate is reduced, the system robustness is improved, and the processing safety and quality are finally guaranteed.

The application discloses a method, device, equipment and medium for determining an anode sheath length of an arc model. The method comprises the following steps: in the first step, a first arc root radius is determined according to a current density output by a first arc generation model; in the second step, a second arc root radius is determined according to the first arc root radius and a second arc generation model, wherein an input parameter of the second arc generation model comprises a first anode sheath length; and in the third step, the anode sheath length is determined according to the first arc root radius and the second arc root radius. By determining the anode sheath length, the application is beneficial to solving the problem of slow solving speed and non-convergence of arc model simulation calculation, thereby being beneficial to establishing a more accurate arc simulation model.

The application discloses a data desensitization method, device and system, electronic equipment and a storage medium. The method comprises the following steps: in the case that a row event notification information sent by a disk is received, reading corresponding row data from the disk through a reading thread; and according to subscription information, writing the read row data to a data subscriber through a writing thread, so that the data subscriber performs data desensitization processing on the row data. Through the reading and writing mode of the reading thread and the writing thread, the reading and the writing are completed by different threads, the reading and the writing are separated, and the data reading speed is improved.

The utility model relates to the technical field of intelligent mattresses, and provides an intelligent sleep mattress capable of actively exhausting. The mattress comprises a mattress body and a supporting air bag arranged on the mattress body, and the supporting air bag is used for directly adjusting the height of the body part of the user or indirectly adjusting the height of the head of the user through a pillow; the inflation and deflation device comprises an air pump assembly and an air path switching module, the air pump assembly and the air path switching module are both controlled by the control system, the air pump assembly is in air path communication with the supporting air bag through the air path switching module, and the air path switching module has a first on-off state and a second on-off state which can be switched mutually. The air exhausting speed of the supporting air bag can be increased, it can be guaranteed that exhausting of the supporting air bag is more thorough, the current height of the supporting air bag is matched with the current sleeping posture of a user, and rationalization of the cervical vertebra and spine curve of the user during sleeping is effectively maintained.

The utility model provides a multifunctional automatic dispensing device for traditional Chinese medicine decoction pieces, which belongs to the technical field of traditional Chinese medicine decoction piece production and comprises a conveying mechanism, a plurality of conveying discs, a receiving hopper, a turnover mechanism and a packaging and sealing machine, the conveying discs are arranged at the upper end of the conveying mechanism, and the conveying mechanism is used for conveying the conveying discs. The conveying disc is used for containing rechecked traditional Chinese medicine decoction pieces; the receiving hopper and the turnover mechanism are both arranged above the conveying mechanism, the rechecked traditional Chinese medicine decoction pieces are placed in the dispensing disc, the turnover mechanism is used for bearing and turning over the dispensing disc so that the traditional Chinese medicine decoction pieces in the dispensing disc can be poured into the receiving hopper, the receiving hopper pours the traditional Chinese medicine decoction pieces into the conveying disc, and the traditional Chinese medicine decoction pieces are poured into a packaging bag in the packaging and sealing machine. And the packaging sealing machine is used for sealing the packaging bag. The multifunctional automatic medicine dispensing device for the traditional Chinese medicine decoction pieces has the technical effects that manual medicine dispensing operation can be assisted, the medicine dispensing operation efficiency is improved, and the manual labor intensity is reduced.

The invention belongs to the field of zinc glycinate preparation, in particular to an environmentally friendly green zinc glycinate synthesis preparation device. Aiming at the problems of high cost and slow speed in the existing traditional environmentally friendly green zinc glycinate preparation, the following scheme is proposed, which comprises a bottom plate, a movable cover and two guide rails, wherein the movable cover is located on the left side of the top of the bottom plate, and the two guide rails are respectively located on the front side and the rear side of the top of the bottom plate. The invention cooperates with a mixing component, a movable cover, a telescopic transmission component, a cooling component, a driving motor and a hexagonal rod to move the movable cover, sleeve it on the surface of the mixing component, preliminarily heat the mixing component, drive the telescopic transmission component to rotate through the hexagonal rod, the telescopic transmission component drives the mixing component to mix, and the cooling component can cool the processed product, thereby solving the problems of high cost and slow speed in the existing technology in the traditional environmentally friendly green zinc glycinate preparation.