64 results about "Platform development" patented technology

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 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 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 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.

An integrated user interface platform development system and method which include a user interface platform development system having a development tool which provides a what you see is what you get (WYSIWYG) screen file development environment and generates a screen file source in which a user interface platform is composed of structured components; a server which provides resources for screen file development using the development tool and on which developed screen file sources are registered; and a client which includes a client engine that loads the screen file source requested of and received from the server, and which provides the user interface platform executed in a browser window and corresponding to a linked device, wherein the development tool includes a design system module for maintaining design consistency.

Disclosed are an integrated development system and method for a user interface platform. A platform development system for a user interface according to one embodiment of the present invention comprises: a development tool for generating a screen file source in which a user interface platform is formed into structured components by providing a screen file development environment in a WYSIWYG scheme; a server providing a resource for screen file development to the development tool, and having a developed screen file source registered thereto; and a client comprising a client engine which loads the screen file source requested and received from the server, and providing the user interface platform corresponding to a linked device by executing in a browser window, wherein the development tool may comprise a screen source conversion module for bundling and transpiling the screen file source to JavaScript.

The application provides an AI-assisted code generation method and system applied to a low-code platform, relates to the technical field of low-code platforms, and first acquires component requirement scenario information and analyzes to obtain a scene feature set, generates a dynamic evolution rule set in combination with platform real-time metadata; then calls an AI code generation module, inputs the scene feature set and the rule set, and generates initial component code; next, the initial code is deployed to a test environment, running data is collected and analyzed, iteration optimization instructions are generated to adjust the code and the rule set, and target component code is obtained; finally, the target code is embedded into a platform specified function module to complete code generation. The method can adapt to diversified scene requirements, combines with the real-time state of the platform, has self-optimization capability, and can improve the development efficiency and code quality of the low-code platform.

The invention relates to the technical field of data capture, in particular to a platform development data capture method and system based on SCADA (supervisory control and data acquisition). Comprising the following steps: S1, capturing historical data and real-time data by using an SCADA system, obtaining a data storage module corresponding to the historical data, connecting a cloud platform, and transferring the real-time data to the cloud platform for distribution; real-time frequency and timing frequency data are distinguished, effective time is set for timing data, report deadline is determined based on the shortest remaining effective time, it is avoided that expired data are used to affect an analysis result, and then missing data types needed for generating a complete report are actively recognized, so that the report deadline accuracy is improved. And before the target capture time, the cloud platform instructs the SCADA system to directionally capture the missing data, so that data completion and report generation are ensured to be completed before the deadline, and the problem that the report is lagged or incomplete due to incomplete data acquisition and aging failure in an industrial scene is solved.

A system (100) for blueprint-driven platform development that delivers and manages cloud-native application platforms using Infrastructure-as-Code, comprising: a blueprint compiler (1) configured to receive a blueprint describing platform functions as typed, versioned components with parameter contracts and to compile the blueprint into a normalized, acyclic dependency graph of Terraform modules (M); a module registry (2) that stores signed, provenance-tracked versions of the Terraform modules (M) together with compatibility metadata for Kubernetes / OpenShift clusters (K); a policy and compliance engine (3) that enforces pre- and post-processing restrictions defined in the blueprint as machine-verifiable policies, including approval, topology, data sovereignty and cost limits; an Environment Orchestrator (4) that translates the compiled dependency graph into coordinated execution plans for the modules (M), applies the plans to the target clusters (K), and outputs Kubernetes Custom Resources to show deployed functions; a CI / CD pipeline controller (8) integrated into the Environment Orchestrator (4) to create, sign, authenticate and incrementally deploy module and workload artifacts according to staggered promotion rules; a drift detection and adjustment engine (5) that continuously monitors the live cluster status and the terraform status to detect status deviations and generate minimally invasive correction plans taking the dependency graph into account; and a provenance register (7) that immutably records blueprint versions, module digests, attestation statements, policy decisions, execution plans and runtime records, thus enabling the verification and reproducible re-creation of each platform version.

The invention discloses a low-code digital twin platform development method based on an anchor point mechanism, and the method comprises the steps: enabling an interaction point in a three-dimensional model to be dynamically associated with the data of the Internet of Things through introducing an anchor point abstraction mechanism, and achieving the condition-driven dynamic effect display in combination with a low-code configuration interface; according to the method, the problems of large code writing amount, difficulty in data and visualization integration and complexity in dynamic effect implementation in application development of a traditional digital twin platform are solved; a user configures anchor points through a graphical interface, the development efficiency is improved by more than 80%, and interaction codes do not need to be written; a dynamic effect engine arranged in the platform is provided with flicker, color change, light ring and other effect templates, condition triggering is supported through setting of a mapping rule, and the dynamic effect implementation cost is reduced; the ThingsBoard data and the three-dimensional model are seamlessly connected through an anchor point mechanism, and data-driven visualization is achieved.

The invention discloses a low-code platform development method and system, and the method comprises the steps: collecting business demand information related to a target business according to an obtained demand instruction, and converting the business demand information into first business demand data in a picture format; the method comprises the following steps: firstly, acquiring first business demand data, then analyzing the first business demand data based on a pre-trained optical character recognition large model to obtain second business demand data, then storing the second business demand data in a low-code knowledge base to obtain an updated low-code knowledge base, and if a method stream corresponding to a target business needs to be created, creating a method stream corresponding to the target business. And if the target business is updated, generating method flow configuration metadata corresponding to the target business by utilizing a pre-trained low-code field special model based on the updated low-code knowledge base, and finally, rendering the method flow configuration metadata based on a low-code platform to obtain a method flow corresponding to the target business. Through the method, the flow arrangement capability and the business demand development efficiency in the low-code development process can be effectively improved.

The invention belongs to the technical field of new energy automobile electric driving, and particularly relates to a new energy automobile-oriented angle module driving system which adopts an outer rotor hub motor direct driving technology and a highly integrated motor and electric control design. The system has the advantages of high transmission efficiency, high response speed, high power density, compact layout, multiple control freedom degrees, accurate control and the like; meanwhile, through deep fusion of a driving system and a braking system and collaborative design of driving, steering and a suspension mechanism, a modularized independent driving assembly is formed, torque vector control and efficient energy recovery are achieved, rapid butt joint with a vehicle body can be achieved, platform development is supported, and the system is suitable for large-scale popularization and application. The technical problems that an existing distributed driving system is complex in mechanical structure, low in transmission efficiency, insufficient in control freedom degree and slow in dynamic response are solved.

The invention discloses an authority code centralized management method and equipment, and relates to the field of platform development, and the method comprises the steps: carrying out the centralized maintenance of authority code data of all versions of artificial intelligence platforms through a maintenance interface provided by an authority code server, avoiding the separation maintenance of authority codes, and improving the maintenance efficiency of the authority codes; the method comprises the steps of automatically determining a target environment where a target artificial intelligence platform is located, automatically submitting permission code data to a distributed version control system when the target environment is a development environment, and automatically submitting the permission code data to a distributed version control system when the target environment is the development environment or an incremental test environment; and automatically refreshing the permission code data in the distributed version control system to the target artificial intelligence platform so as to refresh the permission code data centrally maintained by the permission code server to the target artificial intelligence platform, and keeping the permission code data of the target artificial intelligence platform in the development environment and the incremental test environment consistent. Automatic submission and refreshing of the permission code data are realized, and the development efficiency of an artificial intelligence platform is improved.

Virtualized onboard aircraft platforms for in-flight entertainment and associated systems, devices, and methods are disclosed herein. In some embodiments, an platform comprises an airside platform onboard an aircraft, a development platform, and an operations platform. The airside platform can host applications and store media files via edge caching. The development platform can include (i) a developer portal providing a user interface for applications developers to develop the applications, (ii) a simulator environment configured to simulate the airside platform and test the applications developed via the developer portal, and (iii) a deployment unit configured to deploy the applications developed and tested. The operations platform can provide the media files to the airside platform and monitor each of the airside platform and the development platform. The platform can facilitate development and deployment of the plurality of applications on multiple types of aircrafts while remaining aircraft-agnostic to the application developers.

The embodiment of the invention provides a cross-platform adaptation method and a related device, and relates to the technical field of computers, and the method comprises the following steps: obtaining a deployment platform of an initial service code; the initial business code is a code constructed based on a unified development framework; the unified development framework comprises a unit-app basic framework and a Vue development language; performing conditional compiling on the initial service code based on a deployment platform to obtain a target code package; and deploying the target code package on the deployment platform. According to the method, platform difference codes are isolated through a unified framework and a conditional compiling mechanism, adaptive logic is dynamically selected during compiling, and the code reuse rate is remarkably increased. The problem that independent codes are written for each platform in traditional development is solved, cross-platform development efficiency and maintenance flexibility are remarkably improved, and development cost is effectively reduced.

The present invention provides a Multi AI agent architecture, system and method for data processing in enterprise application developed by codeless platform. The invention includes an integration framework, AI agent data library, and one or more configurable components of the codeless platform for processing one or more input received on conversational assistant interface.

The invention relates to the field of composite materials, in particular to an efficient operation method for a composite material database based on Visual FoxPro. According to the method, common types of composite material products are classified and sorted, then data structure design is carried out according to attributes of each product, and Windows desktop application of a composite material database is developed based on a Visual FoxPro platform. According to application characteristics and requirements, the database comprises five main modules including a material module, a process module, a knowledge management module, an auxiliary module and a user authority management module, each main module comprises a plurality of sub-modules, and some sub-modules further comprise some sub-modules. According to the method, related functions of material classification and performance description, material design optimization, structural simulation material data support and training learning are provided for the composite material product, and a powerful tool is provided for data management, standardization, quality management and the like in the development process of the composite material product.

The application provides a cross-platform brain-computer interface paradigm system suitable for natural state monitoring, comprising: a cross-platform development module, which realizes running of a set of codes on multiple platforms through a self-drawing engine; a task integration and expansion module, which integrates multiple brain-computer interface paradigm tasks; a local material library management mechanism is established, and task types and stimulation materials are associated and configured through a data configuration file; a multimedia precise synchronization control module, which adopts an asynchronous programming mechanism and a timer function of Flutter, and when audio and video materials are played or ended, labels are marked in the hardware circuit or streaming data of an electroencephalogram acquisition device, a physiological polygraph or a network camera, alignment of multiple devices and multiple modal data is realized, and a task log containing a timestamp mark is generated; and a natural stimulation task module, which incorporates tasks simulating natural scenes into the brain-computer interface paradigm. The application provides a brain-computer interface system which takes into account cross-platform consistency and flexible configuration of natural scene tasks.