29results about How to "Consistency" patented technology

The invention discloses a photovoltaic-energy storage-charging multi-stage scheduling and market bidding optimization method and a photovoltaic-energy storage-charging multi-stage scheduling and market bidding optimization device. The method comprises the following steps: constructing a data-driven random environment model reflecting photovoltaic output, electricity price fluctuation and charging load uncertainty by adopting a mode of combining time sequence clustering and a non-homogeneous Markov chain based on historical operation data; modeling a scheduling and bidding problem of the optical storage and charging integrated station into a multi-stage Markov decision process model which comprises day-ahead decision and joint optimization of multiple intra-day rolling adjustment; a deep reinforcement learning algorithm is utilized to train the network, and a strategy regulation and control network which can adapt to various uncertain scenes and meet equipment physical constraints is obtained; and deploying the trained strategy regulation and control network in an energy management system to realize global coordinated scheduling and bidding of the optical storage and charging integrated station. According to the method, the economic benefit is remarkably improved, the robustness is greatly enhanced, the decision is globally coordinated and optimized, the real-time decision capability is strong, and the expandability and portability are good.

The invention discloses a semiconductor test management system, relates to the technical field of semiconductor test, and solves the technical problems that performance detection and evaluation in different stages of wafer production are lacked, and it is difficult to detect whether a wafer has performance abnormity in the production stage in time. According to the stage performance evaluation coefficient of the semiconductor wafer of each node, a node early warning module performs stage early warning on the semiconductor wafer with stage performance abnormity, analyzes the comprehensive performance coefficient of the semiconductor wafer, and performs early warning on the semiconductor wafer which does not meet the standard; by monitoring and analyzing stage performance coefficients in real time, semiconductor wafers which do not meet the standard can be quickly identified, measures are taken in advance, and greater loss generated in the subsequent process is avoided. By detecting whether the performance of the wafer is abnormal or not in the production stage, resources can be reasonably allocated, and defective wafers can be centrally processed or re-evaluated instead of wasting time and materials on possibly failed products.

The invention relates to the technical field of medicines, in particular to an agomelatine pharmaceutical composition as well as a preparation method and application thereof. The agomelatine pharmaceutical composition comprises inner-layer particles, a coating layer and outer-layer auxiliary materials, the inner-layer particles are prepared from the following raw materials: agomelatine, hydroxypropyl methylcellulose, mannitol and colloidal silicon dioxide; the coating layer is obtained by coating a chitosan-sodium carboxymethyl starch suspension on the surfaces of the inner-layer particles; the outer-layer auxiliary material is prepared from the following raw materials: glyceryl behenate, cane sugar, povidone, sodium carboxymethyl starch and magnesium stearate. The agomelatine pharmaceutical composition provided by the invention is stable in dissolution, extremely low in impurity content, controllable in quality and excellent in stability, and can be used for treating depression and related diseases thereof.

This application discloses a distributed audio and video synchronization method based on multi-field coupling, relating to the field of distributed audio and video synchronization technology. It obtains the time progress field, rhythm field, and semantic field through multi-source node state data broadcast by neighboring nodes, and obtains the time progress error, rhythm error, and semantic error based on these fields. The optimal playback speed is determined based on the time progress error, rhythm error, and semantic error, and the synchronization mode is determined based on the semantic error. Finally, an audio and video synchronization control strategy is generated based on the optimal playback speed and synchronization mode. This strategy is executed, and the process enters the next synchronization cycle until the convergence condition is met, completing synchronization. Through multi-field coupling, synchronization from time alignment to perceptual consistency is achieved, balancing playback continuity, rhythm consistency, and semantic consistency, thus improving the audio and video synchronization effect and user experience in a distributed environment.

The present disclosure relates to a text rewriting method and device, electronic equipment and computer program product, belonging to the technical field of natural language processing. The method comprises: obtaining first text data input by a user, and obtaining first input data according to the first text data and key data related to a role-playing model, wherein the key data contains role setting data and effective historical interaction data of the role-playing model; inputting the first input data into a rewriting model to obtain second text data after rewriting, wherein the training data of the rewriting model is obtained by screening through a scoring model; inputting the second text data into the role-playing model to enable the role-playing model to interact according to the second text data. The present disclosure can improve the quality of the rewritten text by rewriting the ambiguous text input by the user, make the role-playing dialogue more fluent and the emotion more consistent, and thus improve the user experience.

The invention relates to a cell grid line transfer printing device and method. The device comprises an unwinding assembly and a winding assembly and is used for conveying the patterned transfer printing film. The visual inspection assembly is used for acquiring position information of the film and the battery piece; a carrying platform of the pasting bearing platform is used for bearing the battery piece and is driven by a first moving part to realize horizontal movement and movement perpendicular to a film surface so as to finish alignment and pasting; and the pressing roller assembly comprises a heating roller, a first temperature control part used for accurately controlling the temperature and a pressure adjusting part used for adjusting the pressure so as to complete hot pressing transfer printing. The device can also comprise a movable heating plate for preheating the film, a carrying table temperature control part for preheating the battery piece, and a vacuum adsorption and liftable carrying table for fixing the battery piece. The corresponding method comprises the steps of battery piece feeding and alignment, vertical attachment, heating and rolling and base film removal, and can comprise the step of preliminary pressing, and the alignment precision, the hot-pressing uniformity and the production efficiency of transfer printing can be improved.

The application provides an industrial part point cloud denoising method based on multi-expert fusion and segmented iteration, which comprises the following steps: obtaining a point cloud data set; constructing a denoising model; a geometric perception multi-expert module takes the preprocessed noisy industrial part point cloud as input, and respectively extracts local learning features and local geometric features representing the local structure of the point cloud; a routing gate and a geometric perception multi-expert fusion mechanism are used to process the local learning features and the local geometric features to obtain fusion features; a segmented iterative updating module takes the fusion features as input, and obtains denoised point cloud data through a noise perception segmented iterative updating mechanism; the denoising model is trained by using the point cloud data set, a detail discriminator and a smooth discriminator are introduced to construct a double-discriminator constraint loss during the training process, and a reconstruction loss, a geometric consistency constraint loss, an optimal transport distribution constraint loss and a trajectory consistency constraint loss are introduced; and the trained denoising model is used for point cloud denoising. The application solves the problems of poor noise adaptability and loss of geometric features.

This application relates to the field of diagnostic testing of electronic control units (ECUs), and discloses a diagnostic testing method and apparatus for ECUs. The method includes: obtaining a structured diagnostic process configuration file, the configuration file defining a sequence of diagnostic steps including at least one user data injection point and data filling rules corresponding to the injection point; in response to executing the diagnostic step sequence to reach the user data injection point, obtaining external data input by the user; and dynamically filling the external data into a specified position of the diagnostic message to be sent according to the data filling rules. This application solves the problem of rigid automated diagnostic testing processes that cannot be compatible with dynamic data input at runtime, and achieves a flexible unification of automated testing processes and user dynamic input requirements. It maintains the consistency of automated execution while improving the reusability and adaptability of testing tools to different testing scenarios.

The application discloses a kind of fusion implicit Retinex constraint and light texture collaborative interaction light low light enhancement method. The method first constructs double-flow architecture, utilizes the global flow of Transformer to capture long-range light distribution prior, and is extracted through multi-scale structured texture recovery module in parallel Multi-band local feature. Subsequently, design light guide feature adaptive modulation module, map global prior to spatially adaptive scaling and offset factor, perform pixel-level gain adjustment on local feature, realize the accurate guidance of light information to texture recovery. Finally, in the training stage, introduce implicit Retinex loss function containing structure perception smoothing and color consistency constraint, internalize physical law to network weight, generate enhanced image through simple linear transformation. The application effectively suppresses color deviation and artifact without increasing inference overhead, significantly improves the robustness of lightweight network under complex lighting, and is suitable for mobile real-time visual tasks.

The utility model discloses a positioning device based on a punching machine. The positioning device comprises a punching machine frame, a base is installed below the punching machine frame, the top of the base is connected with a lower installation base, a lower die is installed above the lower installation base, positioning anti-sticking structures are arranged on the two sides of the lower installation base, and the punching machine frame is connected with an upper installation base. According to the positioning device based on the punching machine, the triggering structure can effectively prevent a high-temperature workpiece from being adhered to the upper die or the lower die after punching, and convenience is provided for subsequent production work. And the stamped workpiece is jacked up from the lower die through resetting of the push plate, so that subsequent automatic treatment, such as taking of the workpiece by a mechanical arm, is facilitated. Through the design, the automation degree of the technological process can be improved, the influence of manual operation is reduced, and the production efficiency and the product quality are improved.

The application discloses a target material of an electrode. In the application, the target material of the electrode comprises a target material body and a first layer arranged on the upper surface of the target material body, wherein the first layer comprises: a first layer body arranged on the upper surface of the target material body; a first part formed on the side of the first layer body away from the target material body, the first part having a first extension direction; and a second part formed on the side of the first layer body away from the target material body, the second part having a second extension direction; wherein the first extension direction and the second extension direction have an included angle alpha. Through the implementation of the application, the Rs uniformity of the electrode thin film formed in different regions of a wafer is improved, and the performance of RRAM is improved.

The present invention discloses a terminal module and a connector, wherein the terminal module comprises a terminal, an injection molded part and a shielding sheet, wherein the terminal and the injection molded part are combined to form an injection molded body, wherein the shielding sheet is provided with a buckle structure, wherein the buckle structure comprises a buckle protrusion and a notch for matching with the injection molded body, wherein the injection molded body is provided with a buckle hole matching with the buckle protrusion and a hot rivet column adjacent to the buckle hole, wherein the hot rivet column passes through the notch to form a riveting point, and the shielding sheet and the injection molded body are fixed by hot rivet at the riveting point. The terminal module of the present invention can overcome the defects of insufficient strength, easy deformation during the crimping process and poor flatness of the terminal module after the secondary injection molding is cancelled, and can improve both the high-speed signal integrity and the mechanical properties of the terminal module.

The invention discloses a data access method, system and device for CFD and a medium. Wherein the parallel iterative computation of the CFD is carried out through a plurality of paired CPUs and GPUs. Firstly, first node data of a sub-domain is issued to a corresponding CPU, then the CPU transmits the first node data to a corresponding GPU, then the GPU continuously stores the first node data in an equipment memory according to spatial positions, after an iterative calculation process is started, the GPU reads second node data of a first color group from the first node data in the equipment memory, and the second node data of the first color group are sent to the corresponding CPU. And continuously storing the second node data in the shared memory corresponding to the corresponding thread block, and executing parallel iterative computation by the GPU by reading the node data of the same color group in the shared memory. Therefore, the node data of the same color group can be continuously stored in the shared memory, and the efficiency of CFD iterative calculation is improved.

The invention discloses a solid-liquid composite lens and a design method thereof. The design method comprises the following steps: determining a reference degree and an adjustment range of the solid-liquid composite lens; in a simulation environment, establishing a human eye model according to the determined reference degree; mechanical and optical joint simulation is established, and a mechanical simulation result is imported into optical simulation, so that an elastic film is established in front of the human eye model; an initial solid lens is established in front of the human eye model, and a medium between the initial solid lens and the elastic film is set as liquid; setting a plurality of groups of working conditions, respectively setting a plurality of light sources at different positions in a visual range, and setting the pressure intensity of a lens system as an independent variable; all other variables are kept unified among different groups; and according to human eye imaging requirements, setting operands as evaluation standards, performing optimization, and determining final solid-liquid composite lens parameters. The solid-liquid composite glasses prepared by the invention can reduce aberration, improve the imaging definition and enhance the stability of the whole optical system.

The invention discloses an intelligent routing execution device, method and system in a collaborative optimization system, and belongs to the technical field of collaborative optimization of complex systems. As a key execution component of the collaborative optimization system, the device is characterized in that a strategy interface is configured to receive a first optimization signal from a closed-loop learning component, and the signal comprises a routing strategy parameter cooperatively generated based on the same single global performance evaluation value; the collaborative evaluator generates a routing evaluation result based on the strategy parameters and the multi-dimensional context information; and the task allocator routes the task request to the target functional component accordingly. Wherein internal logic of the collaborative evaluator is configured or updated by the closed loop learning component based on optimization of the single global performance evaluation value. According to the method, the routing decision is constructed into the accurate execution of the global collaborative optimization strategy, the reliable landing and feedback closed loop of the optimization instruction in the system are ensured, and the method is a key hardware / software carrier for realizing the deep collaborative evolution of the system component.

The invention relates to a data recovery method and device, computer equipment, a readable storage medium and a program product. According to the method, in response to a progress query instruction and an operation request instruction, the size relation between a key corresponding to the operation request instruction and a repaired position pointer can be obtained, and under the condition that the key corresponding to the operation request instruction is smaller than the repaired position pointer, data operation is executed on all copies in an operation field; inputting a corresponding operation log; and when the key corresponding to the operation request instruction is greater than or equal to the repaired position pointer, executing data operation on the main copy in the operation field, inputting the operation log, and inputting the operation log in the to-be-recovered copy in the operation field, so as to avoid blocking the service request, and also consider the consistency and integrity of the data.

The present application provides a lithium ion battery health state evaluation method based on physical information and data driving, relates to the field of new energy power system energy storage technology, and forms a sequence by aligning the cycle charging and discharging data and the health degree in time sequence, and constructs an input feature set through a sliding window and normalization; microcosmic transient state, medium frequency rhythm and macroscopic trend are captured in parallel through multi-scale time convolution, time sequence semantics of coding and fusion of history and future information are encoded through a stacked bidirectional long short-term memory network, key cycle time and sensitive parameters are focused on through time and feature double attention mechanisms, and adaptive gate dynamic fusion is used, then the health degree is output through full connection regression, and the prediction is ensured to conform to the irreversible gradual law of aging by taking the upper and lower limits in physics and adjacent cycle attenuation constraints as penalty terms; weight coefficients are collected during training, and the confidence level is quantified by predicting the distribution standard deviation through multiple forward propagations of Monte Carlo Dropout during reasoning to divide three levels, so that end-to-end health evaluation with reliability levels is realized.

This application provides a method and apparatus for intelligent classification of complex scenes using geographic partitioning collaborative coding, belonging to the field of image recognition technology using classification. The method includes: acquiring comprehensive geographic partitions of a study area; performing partition coding on each comprehensive geographic partition to obtain partition coding vectors; constructing an image coding model based on a deep learning model; using high-resolution remote sensing images as input data, classifying scenes in the remote sensing images using the image coding model; generating image coding vectors based on the last fully connected layer of the image coding model; and concatenating the partition coding vectors with the image coding vectors to generate a partitioned collaborative feature representation vector; constructing a scene-supervised classification model based on the feature representation vectors; iteratively training the scene-supervised classification model until it converges to obtain a trained scene-supervised classification model; and using the trained scene-supervised classification model to classify the scene units to be classified. This method can improve the accuracy of scene classification.

The present application relates to the technical field of biometric identification, and in particular to a personnel non-sensing positioning method and system based on contour-posture gait analysis. The personnel non-sensing positioning method based on contour-posture gait analysis comprises the following steps: step S1, performing pedestrian detection and multi-target tracking based on the collected video sequence to generate a time-continuous pedestrian trajectory video sequence; step S2, constructing a contour-posture dual-modal gait feature model based on the time-continuous pedestrian trajectory video sequence to generate a dual-modal gait feature representation of the pedestrian; step S3, performing similarity matching based on the dual-modal gait features of different pedestrians in the contour-posture dual-modal gait feature model to realize personnel identity recognition and re-identification; and combining the spatial position information of the identified personnel to reconstruct the continuous motion trajectory to realize non-sensing positioning.

The present invention belongs to the technical field of electron beam high-temperature alloy preparation, and specifically relates to an additive manufacturing device and method for high-temperature alloy thin-walled components. The device includes a vacuum chamber, a powder feeding mechanism, a two-dimensional translation drive mechanism, a forming cylinder, a lifting platform, a horizontal moving platform, an electron gun, a lifting mechanism, a pressure plate and an electromagnetic stirrer. The lifting platform is arranged in the forming cylinder; the powder feeding mechanism is used to push the high-temperature alloy powder; the horizontal moving platform is arranged on the two-dimensional translation drive mechanism, the electron gun is arranged on the horizontal moving platform, and the pressure plate is connected to the bottom of the horizontal moving platform through the lifting mechanism; an electromagnetic stirrer is arranged on the pressure plate; the electron beam emitted by the electron gun is irradiated on the high-temperature alloy powder to form a molten pool, and the electromagnetic stirrer electromagnetically stirs the molten pool to realize additive manufacturing of high-temperature alloy thin-walled components. The present invention provides a stirring magnetic field in the additive manufacturing process, refines the grains, realizes equiaxed crystals, and at the same time slows down the cooling gradient, eliminates the solidification stress concentration and the generation of micro cracks.

The present invention discloses a semiconductor chip testing method, device, equipment and medium, and relates to the field of electronic digital data processing technology. First, the test process of the semiconductor chip is divided into a memory test phase and a performance test phase, which can more accurately evaluate the memory capacity and performance characteristics of the semiconductor chip. Then, the memory test phase of the semiconductor chip is analyzed to obtain the memory quality characterization value of each semiconductor chip, which helps to more accurately evaluate the stability and reliability of the semiconductor chip memory, and can help manufacturers and suppliers to perform quality control during the production process. Subsequently, the performance test phase of the semiconductor chip is analyzed to obtain the performance characterization value of each semiconductor chip, which can provide data support for the performance design of the semiconductor chip. Finally, each semiconductor chip is marked according to the quality index value of each semiconductor chip, which can perform more accurate resource allocation and avoid resource waste of semiconductor chips.

The invention discloses a network state determination method and device, equipment, a medium and a program product. The method comprises the following steps: network state determination equipment acquires a first set; wherein the first set comprises a set of original data packets associated with at least one network address translation device arranged in a target network; determining a kth identifier corresponding to a kth payload carried by a kth original data packet in the first set; wherein k is an integer greater than or equal to 1 and less than or equal to K; k is the number of the original data packets in the first set; integrating the original data packets in the first set based on the first identifier to the Kth identifier to obtain a second set; wherein the mth data packet in the second set corresponds to at least two original data packets in the first set; m is an integer greater than or equal to 1; and determining the network state of the target network based on the data packets in the second set.

This invention discloses a PVD coating electromagnetic filtration and particle sorting purification device and method, comprising a coating chamber, an arc source or sputtering target, an electromagnetic filter pipe, a magnetic field generating unit, a particle sorting and blocking mechanism, and a control system. The coating chamber contains a workpiece holder that rotates within the chamber. The arc source or sputtering target is mounted on the side of the coating chamber. The electromagnetic filter pipe is positioned between the arc source or sputtering target and the coating chamber, and includes a pipe body made of a non-magnetic material with at least one curved section. The magnetic field generating unit is arranged around the outside of the pipe body. The particle sorting and blocking mechanism is located outside the curved section of the pipe body. The control system is electrically connected to both the magnetic field generating unit and the particle sorting and blocking mechanism, and is used to adjust the magnetic field strength and electric field bias. The beneficial effects of this invention are: it achieves the goal of improving the sorting accuracy of particles of different masses and providing a processing mechanism for capturing large particles.

This application belongs to the field of UAV path planning technology, and provides a method for closed-loop 3D path planning and local replanning of UAVs in a GIS room. The method includes: first, constructing a 3D space of the GIS room containing safety expansion obstacles, and determining the feasible region and inspection constraints; then, establishing a topology guidance model based on the inspection channel and calculating the comprehensive edge cost; next, decomposing the sequential inspection task into a local connectivity problem, searching for node sequences and generating local 3D paths that satisfy the constraints, and forming an initial closed-loop path through splicing and verification; then, obtaining the nominal path through bias suppression and redundant point deletion; when a local conflict is detected, replanning alternative flight segments in the adjacent topology subgraph to complete the local update; finally, outputting the closed-loop inspection path. This application can integrate topology guidance and closed-loop splicing mechanisms to synergistically improve the regularity of GIS room inspection paths, the completeness of task coverage, and the response capability of local replanning.

The utility model belongs to the technical field of steel structure welding, and particularly discloses bridge steel structure welding equipment which comprises a steel beam, a clamping plate is movably clamped to the outer surface of the steel beam, a fixing frame is fixedly connected to the outer surface of the clamping plate, and a fixing bolt is arranged on the outer surface of the clamping plate. I-shaped steel is arranged above the fixing frame through a stable clamping mechanism, the stable clamping mechanism comprises a guide shaft fixedly connected to the inner side of the fixing frame, a sliding plate is slidably connected to the outer surface of the guide shaft, a shifting plate is fixedly connected to the top of the sliding plate, and a clamping steel plate is fixedly connected to the inner side of the shifting plate. According to the bridge steel structure welding equipment, it can be ensured that I-shaped steel is kept in a relatively static state in the welding process through the stable clamping mechanism, the accuracy and consistency of welding work are facilitated, welding defects are avoided, the welding quality is improved, structural deviation and asymmetry are prevented, and the stability of the whole bridge structure is improved.

The utility model discloses a detection equipment for alumina base electric smelting material processing relates to alumina base electric smelting material detection technical field, including scraping mechanism: the scraping mechanism sets up in the storage tank upside, the scraping mechanism includes: the scraping piece: the scraping piece sets up in the storage tank upside, the screw bush: the screw bush outer surface fixed connection is in the scraping piece upper end, first threaded rod: first threaded rod outer surface with the screw bush inside is through the thread rotation connection, connecting assembly: connecting assembly sets up in the screw bush upside, drive assembly: drive assembly sets up in connecting assembly upside. The utility model passes through setting up scraping mechanism, has solved the artificial help professional tool reciprocating shovel and removes the protruding alumina base electric smelting material at the storage tank mouth, long time, can cause artificial operation strength, angle is not consistent, is easy to cause material accumulation density detection result fluctuation, the problem of poor data repeatability.

This application discloses a feeding mechanism, which includes a frame with multiple housings, a material lifting unit, and a material gripping unit. The multiple housings are arranged sequentially along a first direction, and each housing can hold multiple materials arranged sequentially along a second direction. The material lifting unit includes a lifting member that can be inserted below the first end material in the first end housing and can lift the material along the second direction to raise the second end material to a picking position, where at least a portion of the second end material extends out of the first end housing. The material gripping unit includes a gripper that can grip the second end material at the picking position and transport it to the target part of the product in the assembly position. This feeding mechanism enables automated feeding, continuous material supply, and improved production efficiency. This application also discloses an assembly device with this feeding mechanism.

The invention relates to the technical field of leak detector detection limit calibration, in particular to a sulfur hexafluoride leak detector detection limit calibration device and method. The system comprises a gas distribution unit used for providing high-purity sulfur hexafluoride gas and working condition gas; the pressure container is provided with a gas inlet, a gas outlet and a standard leak hole, and the standard leak hole is used for generating sulfur hexafluoride gas with a known leak rate under a set pressure; and the gas distribution unit is connected with the gas inlet of the pressure container. The gas distribution unit is characterized in that a first switch valve is arranged on a high-purity sulfur hexafluoride gas bottle; a second switch valve is arranged on the working condition gas bottle, and the high-purity sulfur hexafluoride gas and the working condition gas are converged into the gas inlet through the first switch valve and the second switch valve respectively. According to the invention, accurate calibration of the detection limit of the sulfur hexafluoride leak detector can be realized in application scenarios under working conditions of different pressures and different sulfur hexafluoride concentrations, and it is ensured that the test result of the leak detector is consistent with the leakage condition under the actual working condition.