161 results about "Platform development" patented technology

The present invention provides a large language model-based system and method for data processing in application developed by codeless platform. The invention includes identification of intent of a user to process procurement, supply chain, application integration, application restructuring or development scenarios.

The present invention provides a system and method for data processing in procurement and supply chain application developed by codeless platform. The invention includes one or more large language model (LLM) agents configured for processing one or more input received on an electronic user interface. The invention includes selecting a tool selection agent from a tool repository and invoking the selected tool by a tool execution agent for processing at least one task to be executed.

The invention discloses a mobile application development system based on visual arrangement, one-time code writing is carried out based on a cross-platform development framework of an ArkUI-X framework, a mobile application running on an operating system platform is constructed, and an application interface visual arrangement system provides multiple granularity modules from templates, components to elements. A user is supported to freely arrange an application interface in a mode of dragging and configuring components, the dynamic UI rendering and hot updating engine adjusts the application interface in real time and performs dynamic updating after issuing an application, and an automatic packaging engine of a multi-operating system platform is supported to automatically generate an adaptive application installation package according to characteristics and dependencies of different platforms. An efficient and flexible cross-platform development solution is provided for developers through a mobile application development platform composed of a low-code visual interface arrangement system, an automatic packaging system, dynamic UI rendering and a hot update engine.

The invention relates to the technical field of computer software engineering and cross-platform development, in particular to a system for assisting in transplanting Android language to ArkTS (ArkTS) of the swan Mongolia, which comprises a code input module for acquiring Java and Kotlin double-language source codes, an analysis module for analyzing codes by using an improved grammar analysis algorithm, and a storage module for storing the codes. The translation module constructs an abstract syntax tree based on an analysis result and generates an attribute description array, and the generation module generates an ArkTS interface code according to the attribute description array; the distributed computing architecture realizes efficient task scheduling and processing, and the post-processing optimization module guarantees the code quality. Through multi-module cooperation, the probability-rule fusion algorithm, the type dynamic mapping and other technologies, code transplantation can be rapidly and accurately completed, the large project transplantation period is shortened from several weeks to several days, the manual correction cost is reduced, the code conversion accuracy and the system stability are improved, and the development of the wide-gap application ecology is powerfully promoted.

The invention provides an intelligent low-code platform development system based on a large model, and the system comprises a data processing and storage module which is used for collecting and processing business demand data; the low-code development module is used for visually arranging page layout and business logic to generate configuration metadata and supporting a user to operate based on a dialogue mode; the test module is used for generating, executing and feeding back a test case and ensuring the quality of the developed application program; and the artificial intelligence and reasoning module is used for providing capability based on machine learning and natural language processing and supporting intelligent data processing, content generation and reasoning. And the interaction and agent module is used for supporting a user to interact with the system based on a dialogue mode and realizing automatic task execution. According to the system provided by the invention, the code development efficiency and the application program quality can be remarkably improved, and meanwhile, the development cost is reduced.

The invention discloses a cross-platform development board communication fault feedback method and device and a storage medium, and relates to the technical field of communication, after main and sub development boards are initialized, a communication state machine is established, a heartbeat timer is started, heartbeat packets are periodically received and sent, an overtime threshold value is dynamically set in an idle state, and error feedback is triggered if no heartbeat packet is received in an overtime state. The connection state periodically detects communication quality, a reconnection mechanism is triggered if continuous packet loss exceeds a threshold value, an error report is generated and reported when reconnection failure reaches an upper limit, error feedback comprises data packet sending, log recording, alarm triggering and the like, and a reconnection request comprises an identifier, a timestamp and a historical communication index; according to the method, communication interruption caused by misjudgment is reduced, and the communication stability and reliability are improved.

The invention discloses a low-code platform development method and a low-code platform system, and belongs to the technical field of software development, the overall architecture design of a low-code platform is carried out based on Vue2 and TypeScript, and the method comprises the combination of modularization, data management and visual editing function modules; the system comprises a component management module which comprises a component library and user-defined component management; the visual editor is used for realizing real-time layout adjustment and attribute configuration; the user previews the modification effect in real time by dragging and adjusting the position, the size and the hierarchical relationship of the component; the data management module is used for realizing data binding, API integration and dynamic data management; and the performance optimization module comprises a virtual DOM (Document Object Model) optimization and on-demand loading mechanism. The invention provides a development environment which is high in expandability and easy to use. A complex coding process is simplified into visual operation, and cooperation between developers and non-technical users is promoted.

The invention relates to the technical field of digital information transmission and the like, and provides a BMS platform development system which comprises a firmware generation system, a development test system, a production test system and a document generation system.The firmware generation system generates product firmware supporting project customization requirements according to project input configuration of a BMS product and the project customization requirements of the BMS product, and the development test system and the production test system generate the product firmware according to the project customization requirements of the BMS product. The development test system generates a development test case set according to the item input configuration so as to test item hardware and product firmware generated by the firmware generation system, and the production test system generates a production test case set according to the item input configuration; the production test case set is used for carrying out production test on project hardware and product firmware which pass the test of the development test system to produce BMS products in batches, and the document generation system inputs and configures projects to generate product documents corresponding to the BMS products produced in batches, so that the code maintenance difficulty is reduced, and the production efficiency is improved. The configuration difficulty and workload of development testing and production testing scripts are reduced, and the development efficiency is improved.

The invention relates to the technical field of computer software development and application deployment, and discloses a mobile terminal productization configuration method and system.The method comprises the steps that a cross-platform development framework and a front-end framework are selected and configured; common parts in page logic are extracted into independent modules, and differential requirements in different environments are met in a parameterization mode; loading a corresponding configuration file according to a target environment, wherein the target environment comprises a development environment and a production environment; defining a mapping relation between the input path and the output path, and dynamically synchronizing the function file under the input path to the output path in the construction process; and controlling the synchronization logic of the configuration file and the code file through the life cycle of the plug-in, wherein the synchronization logic comprises real-time monitoring in a development environment and one-time synchronization in a production environment. According to the method, the problem that customization and productization are difficult to consider in a traditional development mode is solved, and the development efficiency and the convenience of later maintenance are improved through a systematic technical means.

The invention discloses a cross-platform visualization system, method and device, a medium and a program product, and relates to the technical field of computers.The cross-platform visualization method includes the steps that a point-to-point channel is established through a distributed cooperation module to transmit a multi-user operation data packet, operation adopted by an interface is determined when it is judged that operation conflicts occur, the conflict rate is reduced, and writing efficiency is improved; a cross-platform rendering adaptation module is used for obtaining and analyzing device characteristic parameters and recognizing device types to determine the code generation direction, multi-terminal adaptation codes are generated, layout optimization is carried out at the same time, interface cross-device display is achieved, and the code generation efficiency and accuracy are improved; the versions are recorded by the directed acyclic graph through the version management module, branch operation differences are quantified and merging is executed, so that the time consumption of version merging is shortened, and the management complexity is reduced. Therefore, high-precision cooperation, low-code cross-platform development and traceable version control are realized, the interface design efficiency and quality are greatly improved, and the development cost is reduced.

An intelligent decision-making method based on a rule engine and a finite-state machine adopts a QT high-performance cross-platform development framework and a safe and reliable mode of accessing rule data by a memory database. The method mainly comprises metadata management, state node and rule setting management, state space internal transfer setting, state space external transfer setting, rule data acquisition, service execution or circulation scheme acquisition, rule input data real-time acquisition, rule matching, state machine internal state transfer processing, execution action and state space external transfer processing. And calling functions such as an internal state transfer method of the state machine. According to the method, automation and intelligentization of business decision making of a complex system can be achieved, when business rules change, automatic operation of the business state machine in an application system can be achieved without modifying business logic codes, and the transportability of software, the running reliability of the software and the data safety can be improved.

The invention provides an AI auxiliary code generation method and system applied to a low-code platform, and relates to the technical field of low-code platforms.The AI auxiliary code generation method comprises the steps that firstly, component demand scenarized information is obtained and analyzed to obtain a scenario feature set, and a dynamic evolution rule set is generated in combination with platform real-time metadata; calling an AI code generation module, inputting the scene feature set and the rule set, and generating an initial component code; then deploying the initial code to a test environment, collecting and analyzing operation data, generating an iterative optimization instruction adjustment code and a rule set, and obtaining a target component code; and finally, embedding the target code into a platform specified function module to complete code generation. The method can adapt to diversified scene requirements, has a self-optimization capability in combination with the real-time state of the platform, and can improve the development efficiency and code quality of the low-code platform.

The present invention provides a system and method for multi AI agent driven data processing in enterprise application developed by codeless platform. The invention includes one or more AI agents configured for processing one or more input received on conversational assistant interface. The invention includes triggering contextual processing of received input by orchestration agent interacting with multi-AI agents for executing a task identified from the received input.

The invention discloses a data processing method and device, an equipment cluster and a storage medium, and belongs to the technical field of computers. The method comprises the steps that a first template and first metadata are obtained, the first metadata are used for describing an application model developed based on a first platform, the first metadata comprise first declaration data of a model field in the application model, and the first declaration data are used for declaring features of the model field on the first platform; the first template indicates a mapping relation between the position of the first declaration data and the position of the second declaration data; and determining second declaration data corresponding to the first declaration data based on the first template, wherein the second declaration data is used for declaring features of the model field on the second platform. In the embodiment of the invention, for the multiple application models developed by the first platform, the second declaration data corresponding to the first declaration data in the first metadata of the application models can be determined by utilizing the first template, and the method and the device can be suitable for the multiple application models on the first platform and are wide in universality.

The invention provides a system and method based on web application development, the system comprises a development platform and an operation platform, the development platform provides rich UI components, interaction information and a built-in API of data processing logic, and codes are expanded and executed through a dynamic context management system; the operation platform compiles and executes the structured data generated by the development platform so as to perform web application operation; according to the method, UI layout and interactive logic design are carried out through a visual interface, and a page structure and logic are generated; data processing, interaction logic and event binding are realized by utilizing an API (Application Program Interface) built in the platform; a context management system is used for transmitting states, events and methods in three levels of global, page and component, and data flow management is simplified; converting a page and logic designed by a user into structured DSL (Digital Subscriber Line) data, including component layout, event processing logic and a data transmission mechanism; the DSL data is analyzed through the operation platform, executable front-end codes are generated, and rendering and interaction of the Web application are achieved.

The invention belongs to the field of low-code platform development, and discloses a cross-platform low-code development system and method supporting code export. The method comprises the following steps: dividing a visual layout in a low-code platform into a central process region and R sub-process regions according to a preset rule; obtaining center structure data and sublevel structure data of the target project; obtaining a total logic complexity value of the project based on the central structure data and the sublevel structure data; obtaining an initial flow chart corresponding to the target project; inputting the central structure data, the sub-level structure data, the total logic complexity value and the initial flow chart into a pre-trained flow optimization model to obtain an optimized target flow chart; packaging a target sub-flow in the target flow chart to serve as a reusable plug-in of a cross-project flow; and the running efficiency of the developer project is effectively improved.

The invention relates to the technical field of aircraft brake systems, in particular to a multi-actuation structure all-electric brake control method. By adopting software and hardware platform development, the provided multi-actuation structure all-electric brake control method and strategy are based on the software and hardware platform, the force response time is prolonged, the control precision is improved, the brake efficiency is improved, synchronous control of a motor is ensured, reasonable degradation use is formulated, and normal use can be ensured when an all-electric brake system breaks down once; and the secondary fault can be safe and reliable, so that the operation reliability of the brake system is effectively improved, and the use safety of an airplane is effectively improved.

The invention provides a cross-platform brain-computer interface normal form system suitable for natural state monitoring, and the system comprises a cross-platform development module which achieves the operation of a set of codes on a plurality of platforms through an owner-drawing engine; the task integration and expansion module is used for integrating various brain-computer interface normal form tasks; establishing a local material library management mechanism, and performing association configuration on task types and stimulation materials through a data configuration file; according to the multimedia precise synchronous control module, an asynchronous programming mechanism and a timer function of a Flutter are adopted, when audio and video materials are played or ended, a hardware circuit or streaming data of an electroencephalogram collecting device, a physiological multi-guide instrument or a network camera is labeled, alignment of multi-device and multi-modal data is achieved, and the multi-device and multi-modal data are integrated. Generating a task log containing a timestamp mark; and the natural stimulation task module is used for incorporating a task for simulating a natural scene into a brain-computer interface normal form. And a brain-computer interface system which gives consideration to cross-platform consistency and flexible configuration of natural scene tasks is provided.

The invention relates to the technical field of web platform development, and discloses a method, a system, equipment and a medium for sharing a lightweight component at multiple ends of an intranet, and the method comprises the following steps: creating an independent project as a development platform for carrying out development debugging and packaging on a shared component in the development platform; performing dll dissociation on an npm packet on which a shared component needing to be shared depends to obtain a dynamic link library (DLL) file corresponding to the npm packet and a mapping file for mapping a relationship between the DLL file and the corresponding npm packet; generating a UMD single file component package for the shared component needing to be shared in combination with the mapping file in a UMD packaging mode; respectively placing a dynamic link library (DLL) file and a UMD single file component package in an intranet server; in a project needing to introduce a shared component, cdn loading is performed on a dynamic link library (DLL) file, and a UMD single file component package is applied in combination with an importScript asynchronous loading mechanism. Through DLL dependent dissociation and UMD packaging, the size of a component package is reduced, and the loading speed is increased.

The invention discloses a target plug-in determination method and device, a storage medium and electronic equipment, and relates to the technical field of smart homes. The target plug-in determination method comprises the following steps: under the condition that application software receives a function request sent by a target object, forwarding the function request to an intermediate layer by calling a first target interface of the intermediate layer; a second target interface of a cross-platform development tool is called through the middle layer, the function request is forwarded to the cross-platform development tool, and the cross-platform development tool is injected into webpage components of different systems; and determining a corresponding target plug-in from a plug-in manager according to the function name of the function request. By adopting the technical scheme, the problem that the target plug-ins of different operating systems cannot be called by using a unified interface in the related technology is solved.

The invention discloses a cross-platform development method and configuration system based on IOT and B / S architecture, and the method comprises the steps: S1, setting a configuration system: the configuration system comprises preset various types of configuration primitives, and defines different performances of each configuration primitive in each state for configuration management; and S2, a configuration system is created and operated through a browser, configuration editing is carried out, and a whole configuration editing unit comprises multiple areas in a primitive type area, a primitive library area corresponding to the primitive type, a system operation area, a toolbar area, a canvas area, a node style area, a primitive attribute editing area, a primitive data binding area and an animation configuration area. According to the method, a user can complete the layout design of the visual page through simple dragging at a browser end without the code writing capability and the technical background of industrial automatic configuration software development.

The invention discloses an RPA process optimization method based on a large language model. The method comprises the following steps: S1, carrying out preprocessing and structuring on an existing RPA process; s2, mapping the existing structured RPA flow into a knowledge graph; s3, analyzing the mapped knowledge graph by using LLM (Logistics Language Model); s4, adjusting and optimizing the existing RPA process according to the analysis result in the step S3 to obtain an optimized RPA process; and S5, re-converting the optimized RPA flow into a script or a command sequence which can be executed by the RPA, and re-deploying the optimized RPA flow on the RPA platform by adopting an RPA platform development tool. According to the method, the efficiency of the optimized RPA process in the actual application process can be effectively improved, the operation and maintenance cost is reduced, and the method has great practical value.

The invention provides an extensible form element resource extraction method, system and device and a medium, and belongs to the technical field of low-code platform development.The method comprises the steps that form modeling metadata is received and traversed, and all leaf nodes and corresponding paths and types are recognized; calling a resource extractor factory according to the type of the leaf node, and executing the following operations to obtain or generate a resource item extractor instance: querying whether the type of the leaf node is registered with a corresponding resource item extractor instance; if so, returning the resource item extractor instance; if the leaf node is not registered, defining a corresponding resource extraction interface according to the type of the leaf node and a preset mode, rewriting a resource extraction method, generating a new resource item extractor instance, and then registering and returning; calling a resource extraction method in the returned resource item extractor instance to generate a resource item path of the leaf node; and summarizing each resource item path, and outputting as a resource item file. According to the method, comprehensive and accurate extraction of form element resources is realized.

The invention discloses an instant heating self-adaptive control method and system, a storage medium and water purifying equipment, the system comprises a sensor layer, a controller layer and an actuator layer, the controller layer comprises a partition heat balance model module, a feedforward-feedback cooperative controller, an online parameter identification module and a safety protection module, based on self-adaptive feed-forward control and online parameter identification of the partition dynamic heat balance model, the problems that a traditional method is slow in response, poor in precision and weak in adaptability are solved by conducting partition modeling on the heating waterway and identifying model parameters in real time and combining feed-forward and closed-loop cooperative control, the response speed is high, constant-temperature precision is high, long-term stability is good, safety is high, and the method is suitable for large-scale popularization and application. The method is high in adaptability and good in universality, and can adapt to heaters of different power levels and sensors and actuators of different types based on a control algorithm realized by software, so that the product platform development cost is reduced.

The present invention provides a data processing system and method for managing rules in one or more enterprise applications developed by codeless platform. The invention includes large language model (LLM) based intent detection for rule identification, creations, updating or deletion. Further, the invention determines conflicts in execution of rules by identifying the impact of execution of the rule on one or more functions of the application.

The invention discloses a software architecture design method of an intelligence and calculation all-in-one machine, and relates to the field of artificial intelligence, the intelligence and calculation all-in-one machine comprises an AI application layer, an AI service layer, an AI platform development layer, an infrastructure abstraction layer and a security operation and maintenance layer, the AI application layer receives a task request of a user side, generates a task instruction and sends the task instruction to the AI platform development layer; the AI platform development layer receives a task instruction, obtains to-be-processed data and feeds back the to-be-processed data to the AI application layer, the AI application layer sends the to-be-processed data and a model demand to the AI service layer, the AI service layer loads a model, the loaded model processes the to-be-processed data and obtains a task processing result, the AI service layer sends the task processing result to the AI application layer, and the AI application layer sends the task processing result to the AI application layer. The AI application layer feeds back to a user side, the safety operation and maintenance layer monitors the operation process of each layer, and the infrastructure abstraction layer provides operation resources. The system is vertically divided into a plurality of different layers, the layers are in communication connection, the coupling degree is reduced, and the expandability is improved.

The invention belongs to the field of artificial intelligence platform development, operation and maintenance, and particularly relates to an artificial intelligence platform task management method and system. The method specifically comprises the steps of creating a Pod corresponding to a training task of an artificial intelligence platform through K8s; the created Pod comprises a resource demand of a training task; the K8s is utilized to allocate nodes meeting resource requirements to the Pod according to the resource requirements of the training tasks so as to execute the training tasks corresponding to the Pod; reducing the upper limit value of the resource demand of the Pod corresponding to the non-key training task in a set resource consumption peak period; and increasing the upper limit value of the resource demand of the Pod corresponding to the non-key training task in the set resource consumption valley period. In this way, it can be ensured that the key tasks are executed preferentially in the time period of resource shortage, completion of the non-key training tasks is accelerated in the time period of resource sufficiency, and therefore the completion progress of the training tasks of the artificial intelligence platform is optimized on the whole.

The embodiment of the invention provides a data access method and device, a storage medium and a program product. In the embodiment of the invention, a dynamic code executor is arranged between a low-code platform and a service server, and under the condition that a target application developed based on the low-code platform initiates an access request through a target service interface provided by the low-code platform, if the target service interface is configured with a format conversion code, the target application is accessed to the low-code platform. The target access request added with the access address of the target service server is sent to a dynamic code executor, and the executor operates a format conversion code and performs format conversion on the target access request and first response data returned by the service server; the problem that the target application cannot normally access the target service server due to inconsistent data formats between the target application and the target service server is solved, so that the target application can normally access the target service server, and the flexibility and expandability of application development based on a low-code platform are further improved.

The invention provides a low-code platform model generation method and device, equipment, a medium and a product, and relates to the technical field of artificial intelligence and low-code platform development. The method comprises the following steps: taking an interface type keyword; obtaining an association matching result of the first demand description and the keyword, and obtaining a second demand description according to the matching result; key information is taken from the second demand description, and a third demand description is obtained from the information; describing a first query language according to the third demand; splitting the first query language to obtain each minimum grammar unit, and screening to obtain each effective grammar unit; establishing a syntax tree, and when the syntax tree conforms to a pre-stored syntax rule, performing basic semantic check on the syntax tree to obtain a semantic check result; obtaining a second query language according to the check result; verifying the second query language rule according to a preset rule constraint condition to obtain a third query language; and obtaining a visual data model through the third query language and the low-code platform interface. The seamless connection from the natural language requirement to the visual application is realized, and the technical threshold is reduced.

According to the presentation document development method and the terminal provided by the invention, the to-be-developed page data is abstracted into the document data, the page data and the element data, and the corresponding tree-shaped data model is generated; therefore, each node data can directly obtain the corresponding atomic components according to different rendering requirements, and the atomic components are stacked or nested to obtain the target molecular component, that is, the target molecular component can achieve the rendering effect of all the atomic components. Local refreshing in a Flutter (an open source cross-platform development framework) demonstration document is realized through combination of a target molecular component and an atomic component, and high-performance rendering is achieved.