17results about How to "Speed up iteration" patented technology

The application belongs to the field of workshop scheduling, and particularly discloses a semiconductor wafer probe test scheduling method and system based on an improved genetic algorithm, which adopts double-layer process-machine coding, and combines auxiliary resource taboo coding as an individual, effectively converts a complex scheduling problem into a coding form through an innovative coding and decoding strategy, and avoids traversal search on all selectable auxiliary resources; global-local hybrid search is carried out through the improved genetic algorithm, on the basis of machine level exchange with the traditional critical path-key block, search on the auxiliary resource immediately preceding work is increased, and neighborhood exploration is carried out based on a load balancing strategy, so that the search efficiency and solution quality are improved. The application can quickly and efficiently solve the semiconductor wafer probe test scheduling scheme, effectively improve the equipment utilization, speed up the scheduling efficiency, and break through the bottleneck of traditional scheduling.

The application discloses a natural language and meta-model driven code generation system, which comprises an AI layer containing multiple intelligent agents working cooperatively, the AI layer being configured to receive natural language instructions and perform intent recognition, entity extraction, context analysis and constraint verification through the intelligent agents to generate structured metadata; a meta-model engine configured to construct and instantiate one or more meta-model objects according to the structured metadata generated by the AI layer; and a code template engine configured to match one or more corresponding code templates from a code template library according to the content and type of the meta-model objects, and generate executable code or configuration files in one or more target languages through rendering. According to the scheme, natural language is converted into a meta-model decoupled from technology through AI, and high-quality standardized code is automatically generated through a template engine, thereby improving development efficiency and enabling developers to focus on core business innovation.

The application discloses a dialogue processing method and device, equipment and a storage medium, comprising: obtaining current question data and target role setting information of a role identifier; inputting the current question data and the target role setting information into a target language model of a current iteration cycle to obtain target reply data; the target language model is obtained by performing role dialogue training on a language model of a previous iteration cycle of the current iteration cycle based on a role dialogue sample set corresponding to each target abnormal type information in multiple target abnormal type information of the previous iteration cycle and a model updating mode corresponding to each target abnormal type information; the role dialogue sample set is obtained based on sub-abnormal distribution information of each target abnormal type information of the previous iteration cycle; and the sub-abnormal distribution information represents a historical dialogue data distribution of at least one sub-abnormal type information mapped by the target abnormal type information in the previous iteration cycle. The application can improve the role dialogue training effect of the language model.

The invention relates to the technical field of processor soft error fault analysis, and discloses a processor soft error fault mode analysis system which comprises a fault generation module, a fault injection module, a data receiving module, a data processing module, a result display module and a controlled operation module. The fault generation module, the fault injection module, the data receiving module, the data processing module, the result display module and the controlled operation module work cooperatively to jointly establish a fault mode-system response-task influence association model; the system surpasses traditional single-point fault injection, provides highly configurable and reproducible fault excitation, simulates soft errors of a processor caused by space radiation, supports in-situ test capability of multi-physics field coupling, realizes application-oriented closed-loop correlation modeling, supports systematic test and deep analysis, and has a wide application prospect. And a full-digital efficient analysis assembly line is constructed, so that the evaluation efficiency and the iteration speed are greatly improved.

This invention relates to a wearable robotic mobile data acquisition device for single-person use, comprising a symmetrically arranged left and right arm module, a head module, and a back module. Each of the left and right arm modules includes a first base. The first base is connected to a second base via a central encoder. The second base is connected to a first arm via a central encoder. The first arm is connected to a second arm via a central encoder. The second arm is connected to a third base via a central encoder. The device is highly portable and mobile. By integrating the power supply, controller, and sensors into the back module, the entire device can be worn by a single person like a backpack. The data acquisition personnel can move freely in various real-world scenarios, including indoors, outdoors, and complex terrain, to conduct dynamic data acquisition, overcoming the limitations of fixed acquisition systems.

The invention discloses a method, a tool and a program product for optimizing time sequence consistency, and relates to the field of chip design. Reading time sequence data from the time sequence database of each stage; creating a violation path group corresponding to each stage based on the time sequence data; analyzing and calculating to obtain corresponding path adjustment parameters of each violation path group in different stages and time sequence difference conditions of the violation path groups in different stages; according to the time sequence difference condition, indicating to adjust the target stage or indicating to enter the next process; if the next process is indicated to be entered, sign-off verification is entered, and if the target stage is indicated to be adjusted, path adjustment parameters are set to run before implementation of the target stage. According to the method, the time sequence consistency and the critical path accuracy of each physical design stage are improved, judgment according to experience of designers is not needed, and the situation that constraints are too strict or too loose does not occur. The iteration speed and the time sequence convergence speed of physical design are well increased, and the automation capacity of the physical design process is improved.

This invention discloses a SoC chip simulation verification method and system based on static and dynamic package separation. The method includes: acquiring simulation resources of the SoC chip to be verified; dividing the simulation resources into static and dynamic parts; the static part includes at least chip design code and basic verification environment components that do not need to be modified in the current verification stage, and the dynamic part includes at least verification test cases that need to be modified; encapsulating the static part into a static package and the dynamic part into a dynamic package; compiling the static package to execute the initialization simulation process, and saving the current initialization simulation state after the initialization simulation process is completed; compiling the dynamic package; loading the saved initialization simulation state, and executing the verification test cases in the dynamic package based on the restored initialization simulation state. This method avoids repeated compilation of large static resources due to modification of test cases, significantly shortens compilation time, and improves the verification efficiency and iteration speed of large-scale SoC chips.

The present application relates to the technical field of system engineering, and relates to a method for supporting conversion of an automobile motor system architecture model to a simulation model. A domain meta-model library for constructing the automobile motor system architecture model and a template library of Simulink models are acquired. According to a construction requirement of the automobile motor system architecture model, a target automobile motor system architecture model is constructed. Each template corresponding to the target automobile motor system architecture model is determined from the template library as a template set of the target simulation model. According to the attributes of each meta-model contained in the target automobile motor system architecture model, each template in the template set is filled in to generate a target simulation model code according to each filled template, and a target Simulink simulation model is generated according to the target simulation model code. By constructing a mapping relationship between the domain meta-model library and the Simulink template library, automatic conversion of the automobile motor system architecture model to the simulation model is realized.

The invention discloses a motor design stage-oriented motor bearing voltage modeling prediction system and method, and relates to the technical field of motor design. Extracting stray capacitance between the stator winding and the casing, stray capacitance between the stator winding and the rotating shaft and stray capacitance between the casing and the rotating shaft based on static field finite element simulation; the inductance parameter extraction module is used for extracting winding common mode inductance, winding end inductance and winding mutual inductance based on electromagnetic field finite element simulation; an equivalent circuit model construction module; the input end of the netlist generation module is connected with the equivalent circuit model construction module; a simulation calculation module; and a result output module. Parameters of parasitic capacitance and parasitic inductance are extracted through static electric field and electromagnetic field finite element simulation, an equivalent circuit comprising a common-mode voltage source and a bearing electrical model is constructed, a bearing voltage waveform is obtained through time domain simulation based on an SPICE netlist, and the accuracy of bearing voltage evaluation in the motor design stage is remarkably improved.

The invention discloses a radar-oriented order constraint Jacobi eigenvalue self-sorting method and system, solves the problem of resource consumption caused by an additional sorting module in a Jacobi iteration eigenvalue decomposition post-processing flow in the prior art, realizes direct output of ordered eigenvalues and eigenvectors, and omits an independent sorting module. The method comprises the steps that a real symmetric matrix A obtained through radar baseband signal sampling and covariance estimation is processed to obtain a compressed array, and a feature vector matrix V is initialized; in the parallel iteration process, index pairs are generated according to a scheduling sequence, sub-matrixes are extracted, two types of asymmetric rotation operators are generated through a condition driving mechanism, and a feature vector matrix is synchronously updated to track feature vectors; global data replacement is carried out, and non-diagonal element energy judgment convergence is calculated; after iteration is ended, feature values arranged in a descending order can be directly extracted from the main diagonal of the final compressed array, and corresponding feature vectors are output and used for direction of arrival estimation.

The present application belongs to the field of machine tool chip removal device, and relates to a four-direction compatible universal scraper chip removal filtering system and a use method. The system comprises a chip removal machine part, a liquid tank part, a chip collecting vehicle and a packaging part. The chip removal machine part is reversibly installed on the front side or the rear side of the liquid tank part. The overflow port of the chip removal machine part is in communication with the liquid inlet of the liquid tank part. The chip collecting vehicle is arranged below the chip outlet of the chip removal machine part. The liquid tank part is a symmetrical structure and is used for reversible installation of the chip removal machine part, so that the scraper chip removal filtering system is adapted to chip removal filtering work in any one direction of the left front row, the left rear row, the right front row and the right rear row of the same machine tool. The system can realize installation and application of four directions, three heights and twelve configuration forms of the scraper chip removal filtering system, can shorten the development cycle of new equipment, accelerate the product iteration speed, improve the utilization rate of parts, significantly reduce the development, production and maintenance costs, has strong adaptability and can greatly improve the economic benefits.

The application discloses a low-altitude economy cloud platform service packaging and dynamic combination charging system and method, relates to the technical field of low-altitude economy service management and charging, and comprises the following steps: a service packaging module encapsulates low-altitude core capabilities into standardized APIs and generates documents; a service arrangement module combines services through a visual interface, intelligently analyzes dependencies and provides fault-tolerant compensation; a multi-dimensional charging module collects multi-dimensional resource consumption data and generates detailed account bills; an open gateway and service market module provides unified access and service subscription management; a resource adaptation layer integrates basic capabilities and adapts to heterogeneous devices; a developer ecological support module provides whole-process development and profit sharing support; and a system operation and maintenance module guarantees stable operation and elastic scaling of the platform. The application reduces the development threshold through standardized packaging, accelerates application innovation through visual arrangement, and improves resource utilization efficiency through multi-dimensional charging; the application has high stability and adaptability, and realizes efficient operation and large-scale development of low-altitude economy services.

The invention discloses a real-time in-vehicle UI debugging assistant which is optimized through five core modules: 1, an initialization setting module for guiding a user to complete language selection, cloud connection and providing a function entry; the visual editing module integrates an attribute editor and a layout editor, and all modifications can be previewed in real time; the snapshot management module supports UI state storage, carries out ordering and thumbnail preview according to time, and provides snapshot comparison, rollback and automatic storage setting; the cloud synchronization module is used for realizing editing data remote storage and multi-device sharing and supporting cross-regional team cooperation; and 5, dynamically debugging the plug-in, recording all editing operations, and generating a change list containing modification contents such as size, color, alignment mode and the like and an effect picture snapshot. According to the invention, the user does not need to have programming knowledge, the participation threshold is reduced, the UI consistency among multiple vehicle types is ensured, the team communication cost is reduced, and the vehicle machine application iteration and marketing are accelerated.

This application belongs to the field of intelligent input technology, specifically relating to a method, apparatus, and computer-readable storage medium for labeling adjacent key mis-touch information. The method includes: acquiring log information generated by a user inputting information via a keyboard; parsing the log information to obtain target information corresponding to the same input cycle, wherein the target information includes typed information and on-screen information; acquiring the information type corresponding to the typed information and determining target rules based on the information type; performing adjacent key mis-touch analysis on the target information according to the target rules, and labeling adjacent key mis-touch information based on the analysis results, so as to train an adjacent key mis-touch recognition model based on the labeled adjacent key mis-touch information. This application can achieve automated labeling of adjacent key mis-touch information, shortening the information labeling time, reducing mis-labeling caused by manual labeling, accelerating the iteration speed of the adjacent key mis-touch recognition model, and improving the model's accuracy and input accuracy.

This invention discloses a multi-objective optimization method based on a GCN proxy model, which mainly addresses the problems of high computational complexity, low optimization efficiency, and low prediction accuracy in cascading failure simulation during critical node detection in complex networks. First, initialization and objective function construction are performed, setting relevant algorithm and model parameters, and constructing a dual objective function for attack cost and attack failure effect. A complex network dataset is generated, downloaded, and preprocessed. Second, addressing the low computational and optimization efficiency caused by multiple traversals of the entire network in each evaluation of cascading simulations during critical node detection in complex networks, this invention constructs and trains a multi-branch attention GCN proxy model. Through multi-dimensional feature extraction, multi-task learning, and group calibration, the prediction accuracy of the number of cascading failure nodes is ensured. Then, a multi-objective optimization algorithm fusing GA and PSO is used iteratively, combined with the GCN proxy model to predict the objective function, improving optimization efficiency. The convergence and diversity of solutions are balanced through GA global search and PSO local optimization. Next, the Pareto optimal solution is calibrated and verified to ensure the relative error is within a reasonable range and to verify accuracy. Finally, the experimental results are output and archived. This invention utilizes the GCN proxy model to assist in the fusion of multi-objective optimization algorithms, significantly improving optimization efficiency and prediction accuracy, and enabling precise detection of key nodes in complex networks.

The application is based on the aerofoil ceramic core trimming path consistency evaluation method based on point cloud segmentation, which comprises the following steps: firstly, obtaining the ceramic core point cloud data and the elliptical hole trimming path, preliminarily segmenting the point cloud near the elliptical hole, then completing the establishment of the local coordinate system based on RANSAC, realizing the coordinate conversion of the point cloud near the elliptical hole from the world coordinate system to the local coordinate system, then establishing the elliptical hole arc chamfer model under the local coordinate system, realizing the point cloud segmentation and model fitting of the elliptical hole arc chamfer based on particle filtering, and finally completing the aerofoil ceramic core trimming path consistency evaluation combined with the model parameters and the trimming path. The application simultaneously considers the influence of the shrinkage deformation of the ceramic core and defects such as burrs, flash and hole blockage on the parameter fitting and point cloud segmentation, and the influence of the position deviation of the path points and the deviation of the laser trimming direction on the alignment degree of the path edges, thereby improving the accuracy, robustness and reliability of the path consistency evaluation, and meeting the accuracy requirements of the feedback index for improving the trimming path generation algorithm.

The invention discloses a deep-well pump operation performance online monitoring control method and system, and particularly relates to the field of intelligent operation and maintenance of industrial equipment.The deep-well pump operation performance online monitoring control method comprises the steps that a deep-well pump multi-physics coupling digital twin is constructed and driven in real time, and a panoramic virtual monitoring data set is generated; performing space-time alignment and feature fusion on the virtual data and the physical sensor data, and constructing a dynamic causal knowledge graph by using a time-varying causal discovery algorithm; when the performance is abnormal, a fault source is positioned through reverse reasoning along a map, unsupervised quantitative scoring of performance degradation is realized through improving an auto-encoder, and an accurate diagnosis report is generated; based on a diagnosis report and a causal atlas prediction path, dynamically calculating a safe operation toughness boundary, solving a multi-constraint problem in the boundary by adopting an improved optimization algorithm, and generating a self-adaptive control instruction; and comparing actual response data with predicted response data, and synchronously correcting a digital twin model, a causal map edge weight and boundary calculation logic through Bayesian optimization and association mining by utilizing cognitive deviation.