13results 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.

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.

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 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 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 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.

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 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.

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.