37results about How to "Lower development threshold" patented technology

The invention discloses a game generation method and device, a storage medium and computer equipment. The game generation method comprises the steps of obtaining a game development demand based on natural language interaction; generating game content data based on the game development demand; and driving a game engine based on the game content data to obtain a target game. By means of the method, the game content data can be automatically generated according to the game development requirements, the target game capable of driving the game engine to run is finally generated, efficient and high-quality game generation is achieved, the game development efficiency is improved, the game development threshold is lowered, the game development requirements of more developers are met, and the game development efficiency is improved. The illusion problem occurring in the game code generation task is relieved, the game code capable of well running is generated, and the adverse effect of redundant codes existing in the generated game on the game performance is avoided.

The invention provides a graphical construction and edge deployment method for configuration software development for a micro-service architecture, which comprises the following steps of: constructing an interface and logic of configuration software by adopting a graphical interface through operations such as drag-drop, connection and the like; establishing a graphical component library comprising a plurality of predefined micro-service components, wherein the predefined micro-service components comprise data acquisition, processing, storage, display and the like; the predefined micro-service component supports conversion of the graphical component into an executable micro-service code, and configuration software is constructed; deploying the micro-service of the configuration software at a position close to a data source in combination with an edge computing node deployment strategy; the edge deployment framework automatically completes deployment and starting of the micro-service according to the configuration file and supports automatic deployment, monitoring and upgrading of the micro-service; the states of the edge computing nodes are monitored through a graphical interface, and remote configuration and management are carried out; and performing real-time viewing, log analysis, troubleshooting and the like on the node state. The development efficiency is improved.

The invention discloses a development method and system based on a zero-code platform, electronic equipment and a medium, and belongs to the field of software development. The development method comprises the following steps: providing a zero code platform, wherein the zero code platform comprises a designer and an object module library; selecting an object module from an object module library and importing the object module into a graphical interface of the designer; in a graphical interface of the designer, configuring a selected object module, and presenting a reference relationship, a logic connection line and a data flow path of the object module through a visual interface; verifying whether the selected object module is compliant or not; and after the verification is passed, persistently packaging to the local, and generating a corresponding project program. According to the method, a graphical design interface and visual configuration are provided, so that a user can complete complex system design through simple configuration operation without programming skills, the development threshold is greatly reduced, the project development period can be greatly shortened, and users in more fields can participate in system development.

The invention relates to an image acquisition system, a control method and a storage medium. The system includes: a DVP device configured to generate DVP image data, a pixel clock signal, a row reference signal, and a frame synchronization signal; a data channel selector configured to switch between the DVP image data and the external memory controller data; an external storage device configured to store the DVP image data; and the micro-control unit is configured to control the DVP equipment, the data channel selector and the external storage equipment, and the micro-control unit counts the number of line synchronization signals of an image output by the DVP equipment. According to the image acquisition system provided by the invention, interface limitation is solved, a part of MCUs which are not provided with DVP interfaces but are provided with EXMC interfaces can execute DVP image acquisition tasks, the use scenes of the MCUs are expanded, and the development threshold of image acquisition and processing is reduced.

The invention provides a rule engine and a related product. The rule engine comprises a rule set configuration module, a rule set management module, a domain model design module, a rule execution report module, an engine execution result module, a rule factory module, a rule context module, a rule executor and a dynamic rule adding module. Compared with the prior art, the rule engine provided by the invention has the advantages that simple definition and efficient execution of the rule are realized by utilizing the advantages of the Spring framework. Compared with an existing rule engine based on XML or a specific rule language, the rule engine has the advantages that a developer is allowed to use the SpEL expression to directly define the rule, and the efficiency of the rule engine is improved.

The invention provides a neural network multi-objective optimization and FPGA hardware acceleration collaborative design method, and belongs to the field of deep learning model compression and hardware collaborative design. The method comprises the following steps: constructing a joint optimization space containing a neural network compression parameter and an FPGA hardware design parameter; a multi-target Bayesian optimization search strategy is adopted, iterative search is carried out in the joint optimization space, model precision, FPGA resource occupation and reasoning delay are synchronously optimized, and optimal candidate configuration is obtained; matching the compressed network structure with the FPGA parallel architecture by using a hardware-perceived pruning and quantification strategy; a multi-task performance prediction model is adopted to quickly predict the precision, resource occupation and delay of the optimal candidate configuration so as to accelerate the search process; according to the optimal configuration, a hardware accelerator code facing the target FPGA is automatically generated, and integration and implementation are completed. According to the method, collaborative optimization of neural network compression and hardware design is achieved, FPGA resource occupation can be remarkably reduced, the reasoning speed can be increased, and meanwhile the model precision is kept.

The invention provides a Serverless low-code intelligent architecture generation system based on multi-modal input. The problems that a traditional Serverless architecture is complex in design, a low-code platform is insufficient in flexibility, architecture design and implementation are disjointed and the like are solved. The system comprises a multi-modal input processing module, a Serverless architecture generation module, a low-code visual design module and a Serverless function automatic generation module. Various inputs such as texts, charts and code snippets can be processed at the same time, a Serverless software architecture is intelligently generated, a real-time adjustment interface is provided, and architecture design is automatically mapped to specific function implementation. The innovation point is that multi-modal input understanding, Serverless architecture design and a low-code development platform are integrated, and the whole-process intelligence from demand to deployment is realized. The method has the advantages that the development efficiency is improved, the threshold is reduced, the flexibility and the expandability are enhanced, and powerful support is provided for an enterprise to quickly construct and deploy Serverless applications.

The invention discloses a Wreshark message analysis plug-in generation method and system, and relates to the technical field of computer networks, and the method comprises the steps: obtaining a designed protocol hierarchical relation graph; analyzing the protocol hierarchical relation graph by adopting a hierarchical relation graph analysis engine to obtain association and key contents of field values between hierarchies and in the layer, and analyzing a protocol design document by adopting a protocol design document engine to obtain a field set; taking the bit width of the data type in the Wireshark plug-in as a reference set, processing the bit width of a field according to a protocol field splitting algorithm, and marking the type and mask of the field to obtain a field set mask; building plug-in elements according to the field set masks; and generating a protocol analysis plug-in according to the hierarchical relation graph, the protocol design document and the plug-in element. According to the method, the plugin development threshold can be reduced, the problems of complexity and diversity of protocol design, uncertain fields and the like are solved, and the Wreshark message analysis plugin is efficiently, accurately and automatically generated.

The invention provides a TRDP protocol stack application method based on Linux, which comprises the following steps: designing a universal hardware platform, and implementing a TRDP protocol stack (based on a Linux operating system) on a TRDP layer; for a TRDP layer, a TRDP protocol stack is packaged into a library, an API interface is provided for a user, and a TRDP single-network-port communication function and a TRDP double-network-port communication function are achieved by calling a configuration file. For a Linux operating system platform, a TRDP protocol stack is packaged into a library to serve as an independent software module, an API interface is provided for a user, and the method has the advantages of being friendly and easy to use through a real vehicle verification test; meanwhile, the method is applied to a designed hardware core board card, serves as a universal software and hardware platform and is provided for a user, after the user uses the scheme, the TRDP protocol stack software can be used only by writing a configuration file and simply modifying a program, the development threshold is lowered, the programming efficiency is improved, errors caused by human factors are reduced, and the user experience is improved. The problem of application of TRDP protocol stack and TRDP protocol stack dual-network-port development in a Linux operating system is solved.

The invention relates to a method for calling RK3588NPU computing power by using DBus, and belongs to the technical field of edge computing and inter-process communication. According to the method, a standardized DBus server-side and client-side architecture is constructed, the underlying computing power calling logic of an RK3588 NPU is packaged into DBus service, the server-side runs in a daemon process form, core logics such as model loading, reasoning execution and resource management of an RKNN SDK are packaged, and the computing power calling capability of the NPU is exposed through a preset DBus interface; the client does not need to be in butt joint with RKNN SDK, and can call a server interface to complete NPU model reasoning, computing power state query, model resource release and other operations only through a DBus protocol. According to the method, decoupling and standardized calling of the NPU computing power are realized, the development cost of sharing the NPU computing power by multiple applications is reduced, the flexibility and efficiency of RK3588 NPU computing power calling are improved, and compared with an existing direct calling mode, the communication delay is reduced by 35%, and the computing power resource utilization rate is improved by 40%.

The application discloses a kind of multi-terminal logic consistency determination method, system, equipment and storage medium in power accident MR reproduction, it is related to mixed reality technology, distributed network cooperation and computer software engineering technical field, method includes: the power accident MR reproduction process is decomposed into task node and is configured multi-terminal consistency rule, generates common configuration file;Each client loads configuration and builds shadow behavior tree, local interaction instant feedback and broadcast;Each client independently judges and reports candidate completion status;Server broadcasts results after global consistency determination, and client uniform state and transition to next node;The application can shorten development cycle, realize zero delay immersive collaboration, eliminate server computing power and bandwidth bottleneck, guarantee multi-terminal eventual consistency.

The invention discloses a heterogeneous environment prediction model training and deployment method and system, and relates to the field of prediction model training. In order to overcome the defects that an existing model training and deployment method is large in development difficulty, low in deployment efficiency and lack of unified management of multiple versions, an integrated development environment and an integrated development framework are used, and multiple pre-training models and operators are built in; carrying out data preprocessing and exclusive model building, obtaining training data to carry out model training, and generating a training model; all training models are arranged in a model center for unified management; aPI service development is carried out, a unified model algorithm reasoning framework is adopted, self-defined service development is carried out, and self-defined AI service is generated; the AI service is audited and published to be online, and the online AI service is used by an external application; based on distributed task scheduling and service arrangement, AI services are scheduled and run on a service running platform. The method is mainly used for establishing the prediction model for the heterogeneous environment.

The invention provides a database-based parameter result prediction method, which belongs to the technical field of database testing, supplements the blank aspect of database parameter prediction and function verification in the prior art, and comprises the following steps of: building a prediction analysis database, embedding a prediction analysis model into the prediction analysis database, and performing function verification on the prediction analysis model. Parameters are analyzed through the prediction analysis model, judgment is made according to the analysis result after the parameters are analyzed, and the accuracy of intelligent prediction of the database is improved.

The application provides a semiconductor production business process construction method and system based on analysis node feedback self-optimization, which comprises the following steps: constructing an execution link of a business process based on basic information of a business scenario and preset basic function nodes, wherein the basic function nodes at least include business nodes and analysis nodes; executing the business process according to the execution link; when the analysis node is executed, collecting current associated data and obtaining corresponding historical associated data, wherein the current associated data and the historical associated data both include control parameters and corresponding output parameters; fitting the historical associated data by using a preset regression algorithm model, obtaining a model update weight coefficient, and calculating a fluctuation index; determining a preset threshold interval to which the fluctuation index belongs, and if the fluctuation index belongs to a preset allowed update interval, storing the current associated data into a historical database and saving the model update weight coefficient. The application can improve the adaptability and continuous optimization capability of the business process to a dynamic environment.

The present invention provides an automatic interface implementation method for DRC of process rule verification of integrated circuit manufacturing, comprising the following steps: first starting the software, creating a new DRC project through the tab module display mode, using the progress bar mode to prompt the user of the completion of the chapter, defining the device and process physical information, performing the matching degree check of the content, defining the process parameters of the physical layer, displaying the instructions for object selection, and automatically generating the relevant description language, developing the process rules, checking the metal option combination corresponding to different applications of DRC, defining the basic information of the reliability rule and the process design rule, and then automatically setting the interface of the DRC header setting file, then performing the automatic type selection of the tool file exported by DRC, compiling and generating the DRC file and exporting it. The present invention automatically completes the development of the process verification DRC file through the computer human-machine interface, improves the output efficiency of the DRC file and ensures the output quality, and reduces the development threshold.

This application relates to the field of rail transit technology, and in particular to a software and hardware development method and system for an inspection robot. The method includes: based on user-inputted task scenario requirements, calling multiple 3D hardware models from a physical modular hardware library to obtain a 3D simulation robot corresponding to the task requirements; based on the 3D simulation robot, the task scenario requirements, and the physical attributes of each 3D hardware model in the 3D simulation robot, calling multiple standard functional nodes from a pre-established node library to construct a task logic flowchart; and based on the task logic flowchart, performing operational simulation and logic verification on the 3D simulation robot to obtain a task execution strategy; and based on the task execution strategy, compiling and packaging the task logic flowchart to obtain executable code for the user to drive the physical robot to perform operations. This significantly improves the development efficiency of inspection robots while lowering the development threshold.

The embodiments of the present disclosure disclose a project file generation method, device, electronic device and computer-readable medium. A specific implementation of the method includes: obtaining target framework information and target configuration information corresponding to the target project, wherein the target framework information is included in the candidate framework information set; performing multi-frame encapsulation processing on the candidate framework information set, the target framework information and the target configuration information to generate a target configuration file; determining the target service information according to the target configuration file; performing multi-packager encapsulation processing on the packager information set, the target configuration file and the target service information to generate a target project file. This implementation reduces the development threshold, improves development efficiency and ensures that developers develop in a stable and unified environment.

This invention provides a privacy-preserving intelligent agent cross-domain knowledge hybrid retrieval method and system, relating to the fields of artificial intelligence and data security technology. The method includes: responding to a query request initiated by a cloud-based intelligent agent, parsing the privacy tags embedded in the request workflow definition; and concurrently executing the following two operations through an asynchronous task scheduler: sending the public subquery to a cloud-based knowledge retrieval service, and routing the private subquery to a privacy computing agent client deployed in the target local environment; the privacy computing agent client executing the private subquery in a local private knowledge base; and at a cloud aggregation point, aggregating the decrypted ciphertext knowledge fragment set and the public knowledge fragment set into unified knowledge data, and returning it to the intelligent agent. This invention achieves efficient, secure, and integrated retrieval and utilization of distributed heterogeneous knowledge bases by a cloud-based intelligent agent while ensuring that the original privacy data does not leave the local security boundary.

The invention discloses a low-code digital development base design method and system, and belongs to the technical field of low-code development platform design, and the method comprises the steps: reducing the development threshold through rear-end code design, front-end code design, model integration design and automatic deployment design, enabling non-professional developers to directly participate in application development, and improving the development efficiency. And real national development is realized. According to the method, technologies of intelligent times such as the Internet of Things, big data and AI are fused, developers who do not deeply contact the technologies of the intelligent times such as the Internet of Things, the big data and the AI can also rapidly carry out innovative application establishment, meanwhile, an automatic deployment function is provided, the operation and maintenance difficulty of application upgrading and deployment is reduced, and the development efficiency is improved. And the application upgrading deployment work can be automatically completed without depending on the assistance of an original IT manufacturer.

The invention discloses a configuration file generation method and device, equipment, a storage medium and a program product, and the method comprises the steps: receiving a configuration task which comprises configuration intention information; determining a target configuration scene and execution parameters based on the configuration intention information; the execution parameters comprise at least one of an execution object, an execution action, a dialogue scene and an intention corresponding to the dialogue scene; calling at least one corresponding basic template file from a preset template library based on the target configuration scene; the basic template file comprises a dialogue scene template file, an instruction template file and an intention-instruction mapping template file; and filling corresponding fields of the basic template file with the execution parameters, and determining a target configuration file. According to the method, the problems of high development threshold, long period, difficult maintenance, inflexible configuration and the like in the prior art can be solved, and efficient and accurate generation of the configuration file is realized.

The invention discloses a mathematics accompanying online learning system and a method thereof, and belongs to the technical field of online education. Aiming at the technical bottlenecks of high course development threshold, insufficient interactivity, low individuation degree and weak family-school coordination of the existing mathematics learning platform, the system constructs a dynamic course management-embedded mathematics experiment-intelligent learning engine-family-school coordination monitoring four-layer architecture. Through supporting HTML / JS / CSS interactive course packet low-threshold uploading and real-time rendering, GeoGebrar / network drawing board and other mathematical experiment tools are integrated, AI algorithm is combined to analyze learning behavior data and dynamically plan a personalized path, and a data visual chemical condition monitoring system is synchronously established. According to the invention, a teaching mode of'learning while practicing 'and'learning from middle school' is realized, the course development cost of teachers is reduced, the understanding depth of mathematics abstract concepts of students is improved, a teaching closed loop is strengthened through a family-school cooperation mechanism, and an intelligent, interactive and personalized solution is provided for mathematics online education.

The invention provides a power intelligent training and pushing all-in-one machine platform, and relates to the technical field of power AI training and pushing integration, and the platform comprises a data collection unit which is used for collecting an original operation data set of power equipment through a multi-modal data collection module; the data processing unit is used for processing the original operation data set and outputting a power equipment structured training data set and a real-time reasoning data set; the instruction generation unit is used for training and reasoning an improved deep echo state network training engine based on the data set, and generating a power equipment operation state evaluation result and an operation control instruction; and the equipment regulation and control unit is used for displaying the operation state evaluation result through the visual data interaction module, and transmitting an operation control instruction to the control terminal based on a communication link to complete closed-loop regulation and control, so that training and pushing integrated efficient cooperation can be realized, the development threshold is reduced, the computing power utilization rate and the operation and maintenance efficiency are improved, and the development cost is reduced. Intelligent upgrading of power core services is supported, and application stability and reliability are enhanced.

The invention provides an inter-system integration method and device based on configured zero codes, a graphical arrangement front end is constructed by adopting frameworks such as Vue, a back-end execution engine is constructed based on Spring Boot / Cloud, and a complete nodal process configuration and execution system is formed. According to the system, JSON Schema metadata is generated by automatically collecting and analyzing a Feign interface, and a user is supported to assemble integrated logic in a zero-code mode by dragging prefabricated function nodes and connecting lines; and the background models the structured JSON into a directed acyclic graph for topological sorting and static verification based on types and rules, and finally serializes the structured JSON to configure persistent storage. According to the method, visual and configured construction of integrated logic is realized, and the development threshold and the coding quantity are greatly reduced; and through built-in verification and structured storage, the reliability, maintainability and traceability of the process are remarkably improved, so that business personnel or common developers can rapidly and flexibly arrange and reliably operate the enterprise-level integrated process.

The invention discloses a game development method and device, equipment and a storage medium, and relates to the technical field of games. The method comprises the following steps: determining a target game template according to a template selection operation, and obtaining a target game material according to a material uploading operation; replacing a basic material in a material library corresponding to the target game template with the target game material, and creating a target game according to the target game template and the corresponding material library; acquiring a preset test operation corresponding to the target game template, running the test operation through the target game, generating a test running video of the target game, and playing the test running video; after the test running video is played, game parameters of the target game are adjusted according to the parameter adjusting operation, and the adjusted target game is released. A user only needs to select a proper game template and upload game materials to generate a game which the user wants to develop in a one-key mode, and the problems that in the prior art, the development period is long, the input cost is high and the development threshold is high during individual game development are solved.

The invention relates to the field of industrial automation intelligent control, in particular to a development method of an industrial Python language function block, a function block compiled by a high-level language Python is introduced, meanwhile, rich third-party ecology is achieved, and the developed function block can be compiled and packaged into a binary dynamic library according to rules of an intelligent control engine platform, so that the development of the industrial Python language function block is realized. Performance is improved to make up for the defect that original Python performance is insufficient, meanwhile, the confidentiality problem of a user function block library can be solved to guarantee core asset safety, the Python function block and a traditional C + + function block are combined to form a mixed self-defined program, the advantages of the Python function block and the traditional C + + function block can be introduced at the same time, and through a certain rule, according to the requirement of an intelligent control engine platform, the Python function block and the C + + function block are combined. The binary library file is compiled into a binary library file which is the same as C + +, so that mixed scheduling with a C + + functional block is supported, and meanwhile, the problem of confidentiality is solved by the binary file.

The application discloses a JSBSim dynamics model plug-in for UE4 cluster simulation, belongs to the technical field of unmanned aerial vehicle cluster flight simulation, and comprises an initialization module, a data interaction layer module, a simulation cycle module and a UE4 cluster simulation system module; the initialization module is responsible for constructing a simulation basic environment; the data interaction layer module realizes bidirectional data flow; the simulation cycle module drives a simulation process at a fixed frequency; the UE4 cluster simulation system module takes an actor as a physical carrier, converts coordinates of data output by JSBSim into coordinates and rotation values in UE4 local coordinates, updates position and posture information of the actor in real time, and presents simulation results in a visualized manner; the JSBSim dynamics model plug-in for UE4 cluster simulation provided by the application solves the problems of low dynamics simulation precision of an existing cluster simulation system and the problem that an official plug-in of JSBSim only supports UE5.

The embodiment of the present invention provides an audit point configuration method and system. The method includes: breaking down the audit requirements into three parts: locking the audit target order type, extracting order-related display information and judgment information, and judging the compliance of order acceptance, and realizing the audit requirements through the configuration interface based on the breaking down. In the first part, the target is locked, and a locking method based on multiple dimensions of the order acceptance method is provided in the configuration interface; the second part extracts information, and the extraction function of various types of order information is aggregated into expandable display items for interface configuration personnel to select through the underlying grouping aggregation method; the third part is wrong order judgment, and the judgment conditions of the wrong order are formulated into judgment objects, judgment calculation methods, and judgment reference values, and a judgment condition configuration interface is provided for configuration personnel to perform a combination of multiple judgment conditions to complete the judgment configuration of the wrong order. This method lowers the development threshold of audit points, so that ordinary auditors can also configure audit points.

The invention discloses a multifunctional mobile network dialing management method and system. The method comprises the following steps: pre-constructing a module information base for storing associated information of a mobile network module; detecting equipment corresponding to an externally accessed mobile network module, acquiring equipment identification information of the equipment, matching the corresponding mobile network module in the module information base based on the equipment identification information, if the matching succeeds, initializing a communication link with the mobile network module, and binding a corresponding performance function; unified interface operation of different mobile network modules is realized; configuration information of the mobile network module is loaded for initialization, and the state of the SIM card is detected; after the SIM card is ready, setting a target network mode; waiting for network registration, and if registration succeeds, configuring network access parameters and executing dial-up connection; if the dial-up connection is successful, the network configuration information is acquired and the network connection is established, and the method has the characteristics of wide compatibility, high reliability and simplified configuration.

The application provides an automated digital integrated circuit design system based on multi-agent and LLM, comprising: a requirement analysis module receiving user natural language input and generating a structured design specification; a code generation module generating an intelligent agent through a code generation intelligent agent and a test platform intelligent agent, respectively generating synthesizable RTL code and corresponding test platform code based on the structured design specification; a code execution and simulation module compiling and simulating the RTL code and the test platform code by calling a simulation tool according to the generated code and outputting a simulation log; a debugging module analyzing the simulation log, identifying error types and code positions, generating a minimized corrected hardware language description code, and re-entering the code execution and simulation module for verification until the simulation passes, forming a closed-loop iterative optimization process. The application realizes full automation from natural language requirements to simulation verification based on a multi-agent collaboration framework.

The invention relates to a quantum state encoder, in particular to a high-precision quantum state encoder based on a nested interferometer, which is characterized in that an unbalanced Mach-Zehnder interferometer is positioned on an anticlockwise path of a Sagnac interferometer and consists of a second beam splitter BS2 and a third beam splitter BS3, and two arms of the interferometer have unbalanced optical paths and are used for introducing fixed time delay; dividing a single light pulse into a morning time bin and a evening time bin in a time domain; the at least one phase modulator is located in the Sagnac interferometer, under the driving of the integrated control system, independent phase modulation is carried out on the passing light pulses, a target quantum state is directly synthesized by designing modulation phase combinations, and meanwhile a decoy state is formed; the integrated control system is used for generating a voltage pulse with a corresponding time sequence and amplitude according to a target quantum state to be generated and a decoy level in each pulse period, and directly driving the phase modulator; according to the method, the defects of discrete structure, high quantum bit error rate and poor expandability can be overcome.