20results about How to "Improve time and efficiency" patented technology

The invention discloses a photovoltaic module cleaning automatic control system and method, and relates to the technical field of photovoltaic cell panels, the photovoltaic module cleaning automatic control system comprises a plurality of photovoltaic cell panels, photovoltaic panel self-pressurization cleaning tracks are arranged at the tops of the photovoltaic cell panels, and photovoltaic panel cleaning brush boxes are arranged at the tops of the photovoltaic panel self-pressurization cleaning tracks; a telescopic self-walking track frame is arranged at the top of the photovoltaic panel self-pressurization cleaning track, and a self-pressurization clamping foot is arranged on one side of the photovoltaic panel self-pressurization cleaning track and located at the top of the photovoltaic cell panel. Through the photovoltaic module cleaning automatic control system arranged on the front face of the photovoltaic cell panel, the surface of the photovoltaic cell panel can be cleaned and cooled, so that the power generation efficiency is improved, the size requirements of different photovoltaic power stations can be met, the workload and time of manual cleaning are greatly reduced, and the working efficiency is improved. And the cleaning efficiency is improved.

The invention discloses an image encryption method based on a new non-adjacent dynamic coupling mapping lattice and cross scrambling. The method comprises the following steps: acquiring an image to be processed; preprocessing an image to be processed to obtain parameters and initial values required by an encryption process; generating a chaotic sequence based on the parameters and the initial value required by the encryption process; adopting a cross traversal algorithm, selecting different central points and traversal directions of the image to perform preliminary scrambling on positions of image pixels, and obtaining an initial scrambling image; a random cross transformation algorithm is adopted to perform scrambling and diffusion operation based on the initial scrambling image, the pixel position of the image is changed, the pixel value of the image is preliminarily changed, and a semi-encrypted image is obtained; and carrying out secondary diffusion on the semi-encrypted image by adopting a bidirectional disturbance index diffusion algorithm to obtain an encrypted image. According to the method, corresponding attacks can be effectively resisted, and good safety is achieved; and the time efficiency is relatively high.

This invention discloses a maximal clique enumeration method based on MPICH parallel computation for social network streaming data. This method utilizes a structural inversion clique tree (ICTree) to store maximal cliques in the graph. Parallel programming of the algorithm is achieved through the high-performance and widely portable message passing interface MPICH. As the graph structure changes under the streaming data, multiple processes compute in parallel and update the inversion clique tree (ICTree) structure, enumerating maximal cliques in the graph and all maximal cliques in the subgraph formed by nodes within a certain index interval in real time. This invention does not distinguish between edge addition and subtraction changes in the graph during maximal clique enumeration, enabling maximal clique enumeration under mixed edge addition / subtraction updates and large-batch updates. Furthermore, the use of a predefined number of processes for parallel computation solves the real-time processing problem caused by large data volumes, improving the time efficiency of maximal clique enumeration.

The invention aims to provide a reconstruction algorithm based on deep learning, which takes an enhanced pre-liver MRI image as input, does not need a contrast agent, and efficiently and quickly outputs multi-phase (arterial phase, portal vein phase, delay phase and liver and gall specific phase) enhanced images of the liver for clinical diagnosis and evaluation. In order to achieve the purpose, the technical scheme of the invention provides a virtual multi-phase contrast agent enhanced magnetic resonance imaging reconstruction method without a contrast agent. According to the method, a deep learning model based on a Generative Advanced Network is established, an MRI image before enhancement is taken as input, real enhanced images, acquired through MRI scanning, of all phases are taken as a gold standard training model, and after model training is completed, any image before enhancement can be input, so that corresponding four-phase liver enhanced images are output by the model.

The present invention provides a reference source structure optimization method based on multi-population hierarchical assisted evolution, including S1, dividing the module to be evolved and the fixed function module in the circuit structure, and generating the topological structure of the module to be evolved by using the improved tracking coding method; S2, optimizing the topological structure of the circuit of the module to be evolved by using multi-population hierarchical assisted evolution to obtain the optimal topological structure of the module to be evolved; S3, taking the optimal topological structure of the module to be evolved as the optimal individual, transmitting its parameter information to the fixed function module, and using multi-population hierarchical assistance from local optimization to global optimization to obtain the optimal circuit topological structure. The circuit performance parameters generated by the present invention can reach the level of artificially designed analog integrated circuits. The present invention has the advantages of high time efficiency, strong integrated integrity, automatic design of circuit structure, screening and optimization of circuits, and excellent final circuit performance indicators.

The invention discloses a multi-mode hemoglobin determination eluent and a determination method thereof. The eluent comprises an eluent A, an eluent B, an eluent C, an eluent E, an eluent F and an eluent G which are used for determining hemoglobin, the eluent A is prepared from the following raw materials in percentage by weight: 0.08 to 0.12 percent of citric acid monohydrate, 0.40 to 0.50 percent of citric acid trialkali metal salt hydrate, 0.3 to 0.5 percent of perchloric acid alkali metal salt and 0.01 to 0.04 percent of sodium hydroxide. According to the method, on the premise that a stationary phase and a mobile phase of a chromatographic column do not need to be replaced, a mode of separating and measuring various hemoglobin by one eluent is realized, and the method can meet the measurement requirements of different types of hemoglobin, including conventional hemoglobin measurement, mutation hemoglobin measurement and thalassemia-related hemoglobin measurement.

The present invention belongs to the field of aerospace numerical simulation, and relates to a high-quality surface mesh generation method based on a local calculation method. The present invention first processes the geometric model to obtain the discrete line segments of its directed boundary, and then generates a mesh inward based on this; then establishes a local area of ​​space, and calculates based on this, so that all calculations are concentrated in the local area of ​​space; the use of the local mapping domain ensures that the approximate intersection judgment of triangles in space can be judged, supplemented by α , β and c The coefficient correction is used to enhance the robustness of the method and ensure the high quality of the generated grid; when writing the edge to be generated, a hash function is used to perform a reverse index from the point ID to the edge ID to avoid a large number of set traversal operations and achieve high efficiency. The present invention provides a basis for the high-precision algorithm engineering application of computational fluid dynamics and computational electromagnetics in the fields of automobile manufacturing, shipbuilding industry, and aviation industry.

The invention discloses an agricultural unmanned aerial vehicle path planning method based on a rasterized map and related equipment. The method comprises the following steps: acquiring boundary information of a farmland area to be operated, and performing digital rasterization processing on the farmland area to generate a raster map; performing area division on the farmland area based on the grid map to form a main operation area and turning-around areas located at the two ends of the main operation area; and receiving a starting point and a starting advancing direction specified by a user, generating a bow-shaped reciprocating main operation path covering the main operation area in the main operation area by taking the starting point and the starting advancing direction as path generation constraints, and generating a bow-shaped reciprocating operation path covering the space range of the U-turn area in the space range of the U-turn area. The problems that an existing full-coverage path planning algorithm mainly pursues that a path does not repeatedly sweep the whole area, but the general design cannot meet the special working condition of an agricultural unmanned aerial vehicle in the ploughing operation can be solved.

The present application discloses a charging circuit, a charging method and a vehicle for a vehicle, and relates to the technical field of new energy vehicles. The charging circuit includes: at least two charging interfaces, a charging circuit unit connected to the at least two charging interfaces, a rechargeable battery connected to the charging circuit unit, and a control unit; the at least two charging interfaces are used to access a charging device for charging the vehicle; the control unit is used to control the charging circuit unit and the at least two charging interfaces to form a charging circuit when it is determined that the at least two charging interfaces are connected to the charging device; the at least two charging interfaces are connected in series in the charging circuit, and the charging circuit is used to charge the rechargeable battery. The present application can improve the time efficiency of boosting and replenishing the vehicle battery by connecting at least two charging interfaces in series to achieve boosting and replenishing energy.

The present invention relates to the technical field of urban water supply pipe networks, and provides a method for locating leakage in a water supply pipe network based on a monitoring system and spatial clustering. The present invention performs similarity evaluation on available pressure measurement values ​​on certain selected internal nodes of the pipe network from SCADA and reference values ​​from a simulated leakage scenario database to obtain candidate leakage scenarios, then uses spatial clustering to construct candidate leakage areas, and finally quantifies the possibility that the candidate leakage areas contain real leakage nodes and gives detection priorities for the candidate areas. The present invention comprises the following steps: (1) constructing a dominant sensor sequence; (2) calculating leakage location indicators; (3) scoring candidate leakage scenarios; (4) constructing candidate leakage areas; and (5) locating leakage areas. The method utilizes the temporal correlation between monitoring data of a certain pressure sensor at multiple moments and the spatial correlation between monitoring data of multiple sensors to achieve deep mining of data spatiotemporal information.

The present invention relates to the field of precision automation control, and discloses a two-dimensional position comparison method, system, device and storage medium for motion control. The method comprises: when receiving trigger information sent by a PC, in response to the trigger information, obtaining the actual position currently fed back by the motor encoder, the trigger information includes the command position, the in-place width and the trigger abnormal comparison flag; determining whether the first trigger condition is met according to the actual position, the command position and the in-place width; if the first trigger condition is not met, outputting a prompt message and returning to execute the step of obtaining the actual position currently fed back by the motor encoder; if the first trigger condition is met, obtaining the historical position of the motor encoder at the previous moment; determining whether the second trigger condition is met according to the actual position, the command position and the historical position; if the second trigger condition is met, outputting a trigger instruction of a pulse signal. The present invention takes into account both the high efficiency and precision of position control.

This invention discloses a crop planting management method based on a deep learning agent model. It relates to the field of crop planting management technology and includes: acquiring crop parameters, soil parameters, and meteorological parameters and performing sensitivity analysis; calibrating a crop growth model based on the sensitivity analysis results to obtain optimal variety parameters; constructing various agricultural planting management scenarios and multi-objective optimization problems; simulating crop growth using the optimal variety parameters to obtain the Pareto optimal solution set of the management scheme; constructing a dataset using the input and output parameters of the calibrated crop model and training a deep learning agent model; and designing the TSPO-SU assimilation algorithm based on the trained deep learning agent model to assimilate remote sensing data with the deep learning agent model, inverting the environmental parameters of crop growth, and obtaining a refined planting management strategy. This invention can efficiently generate large-scale, refined, and dynamically adjustable crop planting management decision schemes.

The present invention provides a patent novelty evaluation method, device, equipment and readable storage medium. The patent novelty evaluation method includes: determining the corresponding fruit fly counting bloom filter based on the category of the patent to be evaluated; inputting the text of the patent to be evaluated into the language model to obtain a first patent vector; reconstructing the first patent vector based on the fruit fly neural network algorithm to obtain a second patent vector; and calculating the novelty score of the patent to be evaluated based on the second patent vector and the fruit fly counting bloom filter. The algorithm for calculating the patent novelty score of the present invention has a fast execution speed and high time efficiency, and adopts a fruit fly counting bloom filter structure to store patent historical data information, and occupies a small memory space and has high space efficiency. The patent novelty score result calculated on this basis is also relatively accurate.

The application provides a large flexible sheet clamp number optimization method based on an improved particle swarm algorithm, which comprises the following steps: step 1, a three-dimensional model of a large flexible sheet is constructed, and a data interaction file of the constructed model is exported; step 2, finite element mesh division is carried out, and a form source code file is exported; step 3, feature data is extracted, and relevant data including node coordinates of finite element mesh division, a stiffness matrix of the model and a force matrix of the model are read from the form source code file; step 4, optimization is carried out by using the improved particle swarm algorithm, so that the optimal clamp number and clamp distribution under the condition of meeting assembly requirements are obtained; and step 5, the optimization result is tested and visualized. Under the premise of meeting engineering requirements, the cost caused by the clamp number and clamp movement is as small as possible, and an optimization scheme for the clamp number used in the large flexible sheet assembly process is provided.

The invention provides a torsion durability test method and system for an electronic limited slip differential. The method comprises the following steps: acquiring product design parameters of the electronic limited slip differential; based on the product design parameters, torsion testing is conducted on the electronic limited slip differential through a preset testing device so as to collect corresponding positive and negative peak torque and pulse frequency, and a loading torque waveform matched with the actual working condition of the electronic limited slip differential is matched synchronously according to the positive and negative peak torque and the pulse frequency; calculating a corresponding total pulse frequency of a load spectrum according to the loading torque waveform through a pulse frequency calculation unit; and a final loading positive and negative torque value and loading times matched with the electronic limited slip differential are determined through a torque value calibration unit according to the total pulse times of the load spectrum, and the durability degree of the electronic limited slip differential is determined synchronously according to the final loading positive and negative torque value and the loading times. The corresponding durability test can be accurately completed according to the characteristics of the electronic limited slip differential, and the test efficiency is correspondingly improved.

This invention discloses an online water quality monitoring system and control method, belonging to the field of water quality monitoring technology. It includes a processing module, a combined valve, a metering device, a peristaltic pump, and a digester. The metering device has a comprehensive metering chamber, a first auxiliary metering chamber, and a second auxiliary metering chamber, respectively corresponding to the isolated metering of non-strongly corrosive reagents, strong acid reagents, and strong alkali or strong oxidizing reagents. Each chamber is equipped with a photoelectric liquid level sensor to achieve precise volume determination. The processing module controls the injection of wastewater in at least three closed-loop batches. The first batches act as a carrier liquid to push reagents and dilute residues, while the last closed-loop batch replenishes the total volume and cleans the pipelines and chambers of residues, using wastewater to replace the cleaning fluid for self-cleaning. This invention can achieve multi-chamber isolated metering, reagent premixing, parallel detection with dual digesters, or time-sharing detection with a single digester, effectively avoiding cross-reactions between acids / alkalis and redox reagents, reducing cleaning fluid consumption and wastewater production, and improving the stability, detection efficiency, and equipment reliability of multi-parameter online monitoring.

A multi-period map correlation system based on graph optimization comprises a single SLAM mapping module, a data integration module, a global search module, a point cloud fine matching module and a global graph optimization module. The application focuses on the changing mine environment, constructs a global map for the data collected in different periods, and completes the information correlation between the global maps, provides a basis for long-period map updating, thereby converts the pose estimation problem into a joint optimization problem, realizes accurate correlation of multi-pass mapping, and significantly improves the positioning accuracy and environmental adaptability of the SLAM technology in the mine scene.

This invention relates to the field of analog circuit design technology and discloses a method for anomaly identification and feature selection of multi-source heterogeneous data. It involves generating and optimizing a custom multi-parameter, multi-constraint circuit topology within an analog circuit environment, using an analog integrated circuit netlist as graph theory input. This method uses a multi-constraint custom circuit, taking an initial circuit structure as graph theory input, predicting the size of the analog integrated circuit using maximum likelihood estimation, and updating the simulated netlist as the graph theory input. Through comparison, the size is continuously updated, ultimately achieving automatic generation of the circuit structure from the desired structure to the final structure. Through state observation, a graph neural network model is used to optimize the circuit topology, ultimately outputting a highly feasible circuit topology whose performance parameters can reach or even surpass those of manually designed analog integrated circuits.

This invention discloses a connector thread life testing device, comprising a base, a drive shaft, a three-jaw chuck holder, and fixed three jaws. A second vertical plate is vertically mounted on the base. The drive shaft, driven by a stepper motor, is rotatably mounted on the second vertical plate. Two friction plates I, a clutch driven plate, and two friction plates II are sequentially mounted on the drive shaft from near to away from the stepper motor. A pressure adjusting component is mounted on the drive shaft to adjust the pressure between the two friction plates II and the clutch driven plate. One end of the three-jaw chuck holder is connected to one end of a rotating three-jaw chuck, and the other end is connected to the clutch driven plate. The other end of the rotating three-jaw chuck clamps the male connector head. The fixed three jaws are horizontally movable above the base, and one end of the fixed three jaws clamps the female connector head. The female connector head abuts against the male connector head via a spring-loaded component. This invention improves testing efficiency, accuracy, and stability.

The invention discloses a three-dimensional grid model protection method and system based on hybrid encryption and geometric projection. The method comprises the following steps: determining reference vertexes and embeddable vertexes including isolated vertexes and connected vertexes according to a topological structure of a three-dimensional grid model; performing geometric projection prediction on the embeddable vertex to obtain an isolated vertex prediction value and a connected vertex prediction value; performing multiple most significant bit replacement operation on the coordinates of the embeddable vertexes, releasing a data embedding space and generating a compressed three-dimensional model and indication information; rearranging the compressed three-dimensional model; performing symmetric encryption on the rearranged three-dimensional grid model to generate an encrypted three-dimensional model; encapsulating the session key and embedding the session key into the encrypted three-dimensional model; encrypting the management information and embedding the management information into a data embedding space of the encrypted three-dimensional model to obtain a dense three-dimensional model; and the model receiver selects to extract and decrypt the management information according to the access authority, or extracts the packaged session key and decrypts the model data so as to perform reversible recovery on the three-dimensional grid model.