131 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 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 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 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.

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 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 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 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.

The present invention provides a platform architecture, a development application framework and a method for codeless development of one or more Supply chain management (SCM) enterprise application. The invention includes a layered platform architecture for supporting and executing development of SCM applications. The platform and method provide interaction of an SCM application user, a citizen developer user and a platform developer user with one or more layers of the platform architecture for codeless development of the SCM applications.

The invention provides a financial industry low-code platform development method and system based on credential adaptation, and relates to the technical field of credential industries, and the method comprises the steps: 1, mapping interactive interfaces of a core business entity and three associated business entities into four control points in a three-dimensional business topological space, so as to determine a continuous business curved surface, and calculating the normal vector directions of the continuous service curved surface at the four control points, adjusting the connection strength and the data flow direction between the service entities corresponding to the four control points according to the included angle relationship between the normal vector directions of the four control points, and constructing the closed service object network. According to the method, the business network, the simulation model and the adaptation assembly of the credential creation adaptation are constructed, the reusable assets are formed, low-code visual arrangement and credential creation environment full-process testing are combined, efficient development, asset reuse and stable landing of the financial industry credential creation adaptation application are achieved, and business process compliance and system operation reliability are guaranteed.

The invention discloses an environment detection business management system based on low-code platform development, and relates to the technical field of environmental protection management, and the system comprises a business entrusting module which is used for receiving and processing a detection demand, and generating a business entrusting list; the sample management module is used for distributing and executing a sampling task, generating a sampling original record and generating a sample handover order; the detection and analysis module is used for distributing a detection task, inputting detection and analysis data and generating a detection and analysis original record and a detection report; the quality control module is used for establishing an electronic multi-level report auditing process for the detection report; the archive management module is used for digitally archiving the detection report and associated documents thereof; a retrieval function is also provided and is used for retrieving and looking up the detection report; the data analysis module is used for tracking the progress and state of the detection task and evaluating the execution process level of the detection task; the system and the modules are developed by adopting a low-code platform. The iterative maintenance cost can be effectively reduced, and the environmental data analysis level is improved.

The application discloses a kind of wisdom motorcar data acquisition and control management system and method, it is related to the technical field of intelligent management, including the following steps, according to allocation result to formulate first charging plan, the efficiency of battery is predicted, and the compensation of charging duration is carried out.The application predicts the efficiency of battery in combination with future travel planning, reduces the charging cutoff voltage in advance or adopts segmented charging strategy, can prolong the cycle life, significantly reduces the frequency and cost of user battery replacement, relies on general historical parameters, without hardware modification for ternary lithium, iron lithium phosphate or solid-state battery, can be adapted through software calibration, reduces the complexity and cost of platform development of host factory, couples data of user habit and battery physical boundary, forms self-evolution closed loop management, improves user experience, and also considers the whole life cycle value of battery asset, it is a kind of wisdom energy management scheme considering economy and reliability.

The invention discloses a low-code platform development system based on artificial intelligence, relates to the technical field of computers, and is used for solving the problems that affected sessions cannot be accurately positioned during strategy updating, the situation that part of sessions still use old permissions is likely to occur, the cross-session consistency is poor, and meanwhile, an effective abnormal behavior detection means is lacked. The accurate session action range and access credentials are generated through the handshake and action range projection module, the frame level judgment module can perform authorization verification on each data frame, and an unauthorized or illegal request can be marked and frozen in time, so that fine-grained access control is realized; and secondly, when the strategy is updated, an affected session can be quickly found by virtue of a session-permission bipartite graph and an inverted index, and then the permission is updated by virtue of differential calculation, so that the session does not need to be completely disconnected, and the real-time performance and the cross-session consistency of the strategy updating are ensured.

The invention discloses a three-dimensional model generation method and device based on a Revit platform, computer equipment and a storage medium. The method comprises the steps that a forward design plug-in developed based on the Revit platform is started; importing or creating a three-dimensional geometric model of the building curtain wall in the forward design plug-in; carrying out attribute identification and parameter mapping on components in the three-dimensional geometric model to obtain attribute information; according to project requirements, editing and optimizing the attribute information to obtain an optimized three-dimensional geometric model; and according to the optimized three-dimensional geometric model, generating a construction drawing conforming to enterprise drawing specifications. By implementing the method, various pain points in a traditional design process can be solved, efficient connection of design links, standardized management of a family library and rapid and accurate generation of a construction drawing are achieved, the overall efficiency and quality of building curtain wall design are improved, and the method has remarkable technical effects and wide application prospects.

The present invention provides a system and method for managing one or more dynamically changing domain model of one or more applications developed by codeless platform. The invention includes API configured to adjust to dynamic changes in the domain model based on modification of the one or more applications.

The embodiment of the invention provides a communication method and device, and the method comprises the steps that first equipment determines second data based on first data, the first data and the second data meet a data type mapping relation, and the data type mapping relation comprises a conversion relation of data formats of different protocols; the first device generates third data according to the second data, wherein the third data comprises the second data and description information of the second data; the first equipment sends a first message to the second equipment, and the first message comprises a data packet header and the third data. By adoption of the embodiment of the invention, the problem that data acquisition tool software, driving state visualization tool software and the like developed based on one platform cannot be matched with another platform for use can be solved; and high-risk open source software does not need to be installed, development is simple, and maintenance cost is low.

The present application relates to a kind of Sketch file analysis and layout conversion method, by structure mapping, style and layout adaptation, layout conversion, reshape element hierarchy, realize the conversion of Sketch file to structured JSON description file.Solve the conversion bottleneck of Sketch design file to low-code platform development, greatly improve the development efficiency and design draft restoration quality, also reserve space for future technology iteration.All algorithm parameters in the present application can be adjusted, with more hatching times, conversion restoration degree will be constantly improved.The conversion result is more in line with programmer thinking, realizes the automatic delivery link, eliminates the design-development fault in traditional development process.Structured data mapping, visual layer is directly mapped to business layer component, greatly reduces the workload of artificial configuration.Expected product iteration cycle is shortened by 40%, greatly improves the development efficiency.Reduce the communication cost between design and development, improve team collaboration efficiency.It has the ability to generate DSL across different development platforms, only need to adapt the mapping protocol of target platform.

The invention discloses a multi-modal data intelligent processing method for synchrotron radiation. The method comprises the following steps: 1) developing an MDW plug-in based on a Fiji software platform; the MDW plug-in comprises a function panel, and the function panel is provided with a refreshing window list button which is used for acquiring a frame sequence of the currently opened synchrotron radiation; (2) loading and opening the MDW plug-in in Fiji software; (3) the MDW plug-in executes corresponding processing on the frame sequence according to the frame sequence processing mode selected by a user through the function panel; wherein the processing mode comprises one or more of the following modes: module export, background deduction, three-dimensional clipping, sequence processing, common functions, standard deviation calculation, PSD curve calculation and user-defined curve drawing. According to the invention, scientific researchers can efficiently and intuitively understand and process experimental data, so that the analysis efficiency and research value of scientific experimental data are remarkably improved.

The application relates to the technical field of platform development, and provides a parameter management method and device, electronic equipment and a storage medium, the method is applied to a cloud platform system, the cloud platform system comprises a plurality of subsystems, the plurality of subsystems share one external interface, and parameter sharing is realized based on parameter fields; the method comprises the following steps: receiving a business scenario demand sent by a client, generating at least one parameter field based on the business scenario demand; in response to a touch operation of selecting a parameter field by a user, generating a parameter model meeting the user demand; the parameter model is used for defining the structure of the parameter field; a parameter view is configured based on the parameter model, and the parameter view is visually displayed, that is, the parameter field that can be called and the display rule of the parameter model are displayed, so that the client can call parameters in any one of the subsystems of the cloud platform system based on the external interface; in this way, the workload of a developer can be reduced, the user can design a parameter model online, and convenience is improved.