51results about How to "Speed up iteration" patented technology

The invention relates to the technical field of chips, and discloses a static time sequence statistical analysis system and method, computer equipment and a storage medium, and the system comprises a first processing module which is configured to obtain input data; determining a screening condition according to a condition threshold value in the input data, and determining a target time sequence path according to the screening condition; the second processing module is configured to perform target feature extraction on the target time sequence path to obtain a target extraction result, and write the target extraction result into a time sequence path feature source file; the third processing module is configured to determine feature data of a target time sequence path according to the time sequence path feature source file; the fourth processing module is configured to determine a violation time sequence path, generate a violation diagnosis report and determine a time sequence path optimization strategy; the fifth processing module is configured to generate a statistical distribution table and a statistical distribution map. According to the method, the logic features and the physical features of the time sequence paths can be automatically extracted on a large scale, the time sequence path optimization strategy is automatically generated, and a designer does not need to analyze the time sequence paths one by one.

The invention discloses a fault early warning model construction method and a fault early warning method and device, and belongs to the technical field of power cable joint temperature fault prediction, the fault early warning model construction method is used for cable joint temperature fault early warning, and comprises the following steps: obtaining a plurality of cable environment data and cable joint core temperatures corresponding to the cable environment data; performing dimension reduction on the cable environment data to obtain two-dimensional environment parameters; training a support vector machine according to the two-dimensional environment parameters; and optimizing a C parameter and a gamma parameter of the support vector machine through a whale optimization algorithm to obtain a cable joint temperature fault early warning model. According to the construction method of the fault early warning model, the fault early warning model used for cable joint temperature fault early warning can be constructed, and the problem that early warning of power cable joint temperature abnormity is not accurate enough is solved.

The invention relates to the technical field of software systems, and particularly discloses a service simulation system and method for port intelligent driving, and the service simulation system comprises a data interaction module, a simulation control module, a service simulation engine and a simulation database. The intelligent port management system has the beneficial effects that historical data are imported into the simulation system for analogue simulation, so that specific historical events can be reset, experience can be summarized conveniently, service scheduling optimization can be performed in a targeted manner, and the iteration speed of the intelligent port management system is increased; future data is imported into the simulation system for analogue simulation, so that the feasibility and correctness of a scheduling plan can be verified, the operation plan can be conveniently changed in time, and the overall operation efficiency of a port is ensured; the real-time data is imported into the simulation system for analogue simulation, the operation result can be predicted in advance by means of the characteristic that the simulation time of the simulation system is shorter than the real business operation time, risks can be found in time, scheduling adjustment is carried out, and the overall operation efficiency is improved.

The invention provides a micro-unit code branch management method based on GitLab and DevOps, and belongs to the field of research and development test management.According to the method, GitLab is adopted for branch management, Dev serves as a trunk for development, function development is conducted through a derived branch MyDev, and after testing, the MyDev is merged to a Release branch, and Tag issuing is conducted. And aiming at an online problem, repairing from a Release branch and printing a new Tag. Meanwhile, in combination with DevOps practice, automatic testing, code review, safety review and automatic packaging deployment are carried out, each large process and link are divided into micro-units, and smooth and efficient automatic implementation of the version control and release process is ensured.

The invention discloses an isolating switch mechanical structure fault diagnosis method based on Levy-FOX-VMD and SVM. Firstly, a fault simulation experiment is carried out on a certain type of disconnecting switch, and a vibration signal is measured; then, the Levy-FOX is adopted to optimize the VMD algorithm, and optimal parameters alpha and k are found out; secondly, decomposing a non-stationary vibration signal into a plurality of intrinsic mode functions (IMF) by adopting VMD, and calculating a plurality of entropies of each layer of IMF to form a multivariate feature fusion matrix; and carrying out dimensionality reduction on the multivariate entropy matrix by using a PCA algorithm. And finally, inputting the feature matrix into an SVM for training to realize fault diagnosis of the mechanical structure of the disconnecting switch.

The invention discloses a power distribution network and micro-grid distributed collaborative planning method and system based on an improved target cascade analysis method. Comprising the following steps: considering power distribution network topology and security constraints, and establishing an upper-layer power distribution network planning model by taking the minimum total cost of power distribution network planning as a target; establishing a lower-layer multi-microgrid planning model by taking the minimum total planning cost of the microgrid as a target in consideration of the aggregation capability of the microgrid to various internal resources; and solving the power distribution and micro-grid collaborative planning model by adopting an improved target cascade analysis method. Aiming at the power grid planning problem under the background of multiple planning subjects in the future, the effect of integrating various distributed energy sources by the micro-grid is exerted, the planning resources of the micro-grid and the power distribution network are coordinated, and the planning cost of each planning subject is reduced. According to the method, internal power generation resources of the power distribution network and the micro-grid can be reasonably planned, collaborative planning is realized only by means of a small amount of information on the premise that global equipment information is not needed, information privacy of each planning main body is protected, and economical efficiency of each planning main body scheme is improved.

The invention relates to a topological optimization design method for a two-fluid heat exchanger structure based on a multi-material model. The method comprises the following steps: defining a topological optimization design domain and design variables of a heat exchanger, wherein the topological optimization design domain comprises hot fluid and cold fluid flowing areas; with maximization of heat exchange amount in a design domain and minimization of inlet and outlet pressure drop as optimization objectives, an objective function is established, constraint conditions are set, and a topological optimization model is constructed; respectively solving control equations of flow problems of the cold fluid and the hot fluid, solving corresponding topological optimization models, and obtaining corresponding velocity fields; solving a heat transfer problem by using a heat conduction equation according to a combined velocity field obtained by superposing the two velocity fields; sensitivity analysis is carried out according to the solution of the heat transfer problem, and design variables are updated through a topological optimization algorithm according to a sensitivity analysis result; and iteratively updating the design variable for multiple times until the objective function is converged and the preset design requirement is met. The problem of heat exchanger structure optimization in different scenes is efficiently solved.

The present invention provides a confidence evaluation method for artificial intelligence image recognition results. The method performs quantitative confidence analysis on the sample conditions of algorithm model training and the corresponding generated recognition results. The confidence value is calculated through two strongly correlated indicators, sample conformity and algorithm capability. The obtained confidence value allows the user to clearly understand the distribution of training sample features in the iterative training process of the artificial intelligence image recognition algorithm model. The credibility of the final recognition result, thereby further improving the training samples and clarifying the specific indicators that need to be optimized in the model.

The invention relates to the technical field of process engines, in particular to a custom code execution method and device of a process engine, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: newly adding a user-defined task node in a front-end design module of an Activiti process engine, and setting a user-defined event monitor for the user-defined task node; starting a process virtual machine to execute the custom event monitor; according to the user-defined event monitor, a JavaScript user-defined code is compiled in the NapornSandBox sandbox environment, and the JavaScript user-defined code is executed; and obtaining an execution result of the JavaScript custom code, and recording the execution result in a log record table of the Activiti process engine. By adopting the method, the flexibility of process design and the participation degree of users can be improved in the aspects of customizing and modifying the business process.

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 invention discloses a comprehensive heat transfer coefficient calculation method for the wall surface of a circumferential heating appliance, and the calculation method specifically comprises the following steps: A, carrying out the simplified coupling processing of a radiation heat transfer formula and a convective heat transfer formula according to the physical parameters of a heat dissipation assembly, and obtaining a comprehensive heat transfer coefficient model of the heat dissipation assembly; b, on the basis of the comprehensive heat transfer coefficient model, temperature simulation calculation is conducted on the wall surface temperature Tw of the outer wall of the heat dissipation assembly by means of the environment temperature T0 and the total heat transfer amount Q of the circumferential heating appliance; and C, the temperature simulation processing of the wall surface temperature Tw is presented through a visualization system. The comprehensive heat transfer coefficient calculation method is established by researching the comprehensive heat transfer coefficient of the wall surface of the circumferential heating appliance, convective heat transfer and radiative heat transfer calculation is simplified, the comprehensive heat transfer coefficient of the wall surface is directly set in non-gridding rapid simulation, the calculation time is greatly shortened compared with the prior art, the operation is simple, and the calculation efficiency is high. And rapid and efficient design optimization of the circumferential heating appliance is realized.

The present invention discloses a test method for the consistency of precursor material conversion and amplification, and the specific process is that in the experimental stage, a laser particle counter is used to measure the number of crystal nucleus particles per unit volume in the precursor slurry sample in the nucleation stage of the crystallization reaction, which is marked as n1, and the nucleation time is t1; in the conversion and amplification stage, a laser particle counter is used to measure the number of crystal nucleus particles per unit volume in the precursor slurry sample in the nucleation stage of the crystallization reaction, which is marked as n, and when the relative deviation of n and n1 is within ±10%, the time at this moment is the actual nucleation time of the conversion and amplification stage, and the pH corresponding to the nucleation stage is adjusted to the pH corresponding to the crystal nucleus growth stage under this nucleation time, and the crystal nucleus production stops feeding when the required particle size is reached, and the product conversion and amplification is successful. The present invention has the advantages of high efficiency, low cost, and high accuracy.

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 invention provides a receiver detection method, device and system and a storage medium, and belongs to the technical field of signal detection, and the method comprises the steps: importing real-time radar data, historical radar data and radar environment parameters, and constructing a performance test model through the historical radar data and the radar environment parameters; and testing the real-time radar data through the performance test model to obtain a target dynamic scene digital signal. The method is not limited by the number of traditional special system signal sources, the problem of a receiver can be found in the first time in the module-level debugging stage and the algorithm design is optimized, the problems that the debugging workload is concentrated, the detection progress is uncontrollable and the technical iteration is slow are solved, and the debugging efficiency is improved. The receiver performance can be detected in an all-weather and all-region mode, the iteration speed of the technology is increased, the detection cost is reduced, and the method has good application value.

The invention provides a transformer bushing partial discharge mode identification method and system, and relates to the technical field of power system fault diagnosis. Comprising the steps of obtaining transformer bushing partial discharge signals and extracting original features; carrying out dimension reduction processing on the extracted original features to obtain features after dimension reduction; a radial basis function SVM model is constructed, and parameters of the radial basis function SVM model are optimized through a GTO algorithm optimized by the chimpanzee troops; and inputting the dimensionality-reduced features into a parameter-optimized radial basis function SVM model for classification to obtain a classification identification result. According to the method, the KPCA algorithm and the GTO-SVM algorithm are combined, KPCA dimension reduction processing is carried out on high-frequency signal features, data redundancy is reduced, SVM parameter selection is optimized through the GTO algorithm, the classification and recognition performance is remarkably improved, the high recognition rate is shown in partial discharge fault diagnosis, and particularly the method has remarkable advantages in the aspect of processing complex fault modes.

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 provides a simulation method, modeling equipment, a heat exchanger and an air conditioner. The simulation method comprises the steps that information of the heat exchanger of a product is collected; parameters of a heat exchange pipeline are set; according to the set parameters of the heat exchange pipeline, a model of the product is generated; according to the simulation method, the problems that in the prior art, when a large system is constructed, basic parts are forced to be spliced one by one, the process is tedious, efficiency is low, and the error rate is high are solved; the technical problem that the simulation efficiency of the module of the air conditioner is low in the related technology is solved.

The invention belongs to the technical field of software development and operation and maintenance, and discloses a system for quickly responding to service iteration, which consists of a data source management module, a redis cache module, a configuration center module and an SPEL analysis and Naporn module. By introducing the configuration center system, centralized management and dynamic adjustment of business data output rules are achieved, the output rules are migrated to the configuration level from codes, the flexibility and maintainability of the system are greatly improved, when the rules are changed, only the configuration center needs to be updated, the codes do not need to be modified, the iteration speed is increased, and meanwhile the efficiency is improved. The historical record changing function of the configuration center not only facilitates tracking of rule changes and analysis of potential influences of the rule changes on services, but also can quickly roll back to a stable version when system instability or data glide is caused by configuration updating, so that risks are effectively reduced, and the mechanism ensures smooth proceeding of service iteration and provides powerful support for continuous optimization.

The present invention discloses a method for characterizing and optimizing the linear motion history of a piston based on a virtual crankshaft, comprising the following steps: step 1, determining basic constants and limiting conditions of the piston's cyclic reciprocating linear motion; step 2, selecting decision variables and characterizing the piston's reciprocating linear motion history; step 3, calculating the value of an objective function according to the piston's reciprocating linear motion history and the basic constants of the cyclic motion; step 4, setting piston motion constraints; step 5, forming a calculation model based on the above steps 1 to 4, and iteratively optimizing the decision variables using a sequential quadratic programming method; the method for characterizing and optimizing the linear motion history of a piston based on a virtual crankshaft provided by the present invention improves the possibility of ultimately obtaining a global optimal solution, is easy to implement iterative optimization by self-programming, and improves calculation time efficiency.

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 provides a data set updating method, device, electronic device and storage medium, which relates to the field of video image processing technology. The method includes: reading the acquired video data to obtain a specified frame image and a corresponding data set; detecting the specified frame image to determine the target detection information contained in the specified frame image; and updating the data set according to the target detection information. The present application detects the specified frame image in the video data, and can update the video data set based on the target detection information corresponding to one or more targets in the detected specified frame image, so as to improve the efficiency of data set updating, improve the quality of data set, accelerate the generation and iteration of deep learning models based on the optimized data set, improve the training and evaluation quality of deep learning models, and improve the precision and accuracy of target detection and recognition.

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.