59 results about "Interface model" patented technology

The invention relates to a park micro-grid distributed power supply and energy storage coordinated optimization configuration method, and belongs to the field of power system computer software application. The method comprises the steps that original data collection and import design is carried out, and a user interaction visual interface is created and used for importing and visualizing original data needed by micro-grid planning; establishing and designing a distributed power generation model, namely establishing a wind power generation model and a photovoltaic power generation model; establishing and designing an energy storage model, and adopting a KiBaM quasi-steady-state battery simulation model; time-of-use electricity price setting design: designing a time-of-use electricity price setting interface; model control and target optimization design, including micro-grid power balance and storage battery charging and discharging power control design; designing a micro-grid operation program, and optimizing system configuration and a scheduling strategy; and carrying out simulation calculation and result data analysis, verifying the effectiveness of a system optimization configuration scheme, and realizing park micro-grid distributed power supply and energy storage coordinated optimal configuration.

The invention discloses a model-based electronic information product interface definition and mapping method and device, and the method comprises the steps: defining a logic layer interface model of a single machine according to the logic function of an interface, decomposing and refining a black box function logic interface of a subsystem and a flow item borne by the black box function logic interface, and capturing all external interfaces of the concerned single machine; defining a physical layer interface model of the single machine, describing physical node information in the interface, and replacing the type of the external interface of the single machine from the logic layer interface model to the corresponding physical layer interface model; defining an equipment layer interface of the single machine, and generating single machine external electrical connector node information based on a mapping relation between the physical layer interface and the equipment layer interface; obtaining a user-defined interface information table, and generating an interface data list containing single-machine external connectors and connector node information based on the incidence relation of the model information; and analyzing a structured text which is exported by the SysML model and contains detailed information of a single-machine interface through a schematic diagram design tool, and automatically creating a schematic diagram design model of a corresponding interface connector.

The application provides an AlN / HfO2 interface structure design method and device, comprising: establishing a first interface model of AlN / HfO2; optimizing the interface structure of the first interface model to obtain a preset number of second interface models; wherein the oxygen content in the interface structure corresponding to each second interface model is different; optimizing the interface structure corresponding to each second interface model to obtain an energy value corresponding to each second interface model; calculating the electron capture energy and the hole capture energy corresponding to each second interface model; and determining the interface structure corresponding to a third interface model with high electron capture energy according to the electron capture energy and the hole capture energy. The application determines the interface structure corresponding to the third interface model with high electron capture energy by calculating the electron capture energy and the hole capture energy of the second interface model with different oxygen contents, solves the problem that the interface structure with high electron capture capacity cannot be quickly screened, and causes experimental data to be difficult to analyze and a large amount of time to be wasted.

1. Name of this design: Prototype dynamic display area for generating graphical user interface for intelligent agents of electronic devices. 2. Purpose of this design: An electronic device. 3. The key design features of this product are its graphical user interface content. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: The overall purpose of this graphical user interface is to display the progress information of the autonomous generation of the intelligent agent, and the specific purpose is to display the loading dynamics of the prototype interface generated by the autonomous intelligent agent. 7. Human-computer interaction method of graphical user interface: The main views of Design 1 to Design 3 are all prototype display interfaces of autonomous intelligent agents, and the interface displays the model diagram of the prototype interface. When the autonomous intelligent agent generates the prototype interface, the interface will display dynamic changes as shown in Figure 2, which shows the change from the main view of Design 4 to the interface of Design 4. The prototype interface model in the prototype display area of ​​the interface will be fully displayed gradually. When the autonomous intelligent agent generates the prototype interface, the interface will display dynamic changes as shown in Figure 2, which shows the change from the main view of Design 5 to the interface of Design 5. The prototype interface model in the prototype display area of ​​the interface will gradually disappear. When the autonomous intelligent agent generates the prototype interface, the interface will display dynamic changes as shown in Figure 3, which shows the change from the main view of Design 6 to the interface of Design 6. The prototype interface model in the prototype display area of ​​the interface will be fully displayed gradually. When the autonomous intelligent agent generates the prototype interface, the interface will display dynamic changes as shown in Figure 3, which shows the change from the main view of Design 7 to the interface of Design 7. The prototype interface model in the prototype display area of ​​the interface will gradually disappear. When the autonomous intelligent agent generates the prototype interface, the interface will display dynamic changes as shown in Figure 6, which shows the change from the main view of Design 8 to the interface of Design 8. The prototype interface model in the prototype display area of ​​the interface will be fully displayed gradually. When the autonomous intelligent agent generates the prototype interface, the interface will display dynamic changes as shown in Figure 6, which shows the change from the main view of Design 9 to the interface of Design 9. The prototype interface model in the prototype display area of ​​the interface will gradually disappear. The "X" in the interface represents text, numbers, or symbols. 8. Other situations requiring explanation: This patent requests partial design protection: the part covered by the red semi-transparent color block in the interface does not constitute the part for which partial appearance protection is sought.

A kind of zirconium alloy water environment corrosion microscopic mechanism analysis method based on ab initio molecular dynamics, 1, construct the multi-phase interface model of metal substrate model and corrosion medium layer model combination, obtain the size information of simulation box;2, set simulation parameters for multi-phase interface model;3, carry out geometry structure optimization to multi-phase interface model and eliminate local internal stress, then carry out ab initio molecular dynamics simulation, obtain atomic evolution track and corrosion product structure;4, carry out data post-processing and statistical analysis to ab initio molecular dynamics simulation result, obtain corrosion elementary reaction path and calculate reaction energy barrier, the interaction mechanism of corrosion group and surface is analyzed by DFT method.The method can complete accurate zirconium alloy corrosion process dynamic simulation under periodic boundary condition, has higher calculation precision and is more reasonable to the description of interatomic force in system, and can also analyze the interaction mechanism between alloy and corrosion medium from atomic electronic scale.

The invention relates to the technical field of electric power automation, and discloses a method, a system, equipment and a medium for constructing an electric power cloud edge collaborative interface capable of being debugged autonomously, and the method comprises the steps: based on a multi-level rule engine and context mode matching technology, extracting interface parameters and interface data entities, and constructing an interface model knowledge graph; based on a hierarchical structured mapping analysis method, establishing a mapping relationship between the interface data entity and the data source system entity, and storing the mapping relationship in the knowledge graph; generating a universal interface program according to the mapping relation, and dynamically scheduling an interface test sequence; executing interface debugging according to a scheduling sequence, obtaining historical data from a data source system to generate a test case, and sending the test case to a consumption end system for verification; if an error is reported, traceability is wrong, and a test report is generated. And through an automatic means, the two debugging parties do not need to wait for the other party to carry out interface joint debugging, so that the communication and coordination processes are greatly reduced, and the working efficiency is integrally improved.

The present invention discloses a distribution network dynamic cluster planning and control method and system based on electrical indicators, which relates to the field of cluster collaborative control technology, and includes the following steps: obtaining device response data, and constructing a device dynamic response model, extracting the characteristics of the device under different adjustment signals through the model and generating a device flexibility index set; constructing a cluster boundary flexible layer state mapping matrix according to the device flexibility index set, and coupling it with the cluster external control interface to generate an inter-layer flexibility response interface model; based on the response interface model, constructing a hierarchical decoupling control strategy with upper and lower layer strategy linkage, and driving controllers at all levels to execute consistent control actions according to the control strategy; the present invention solves the problems of inconsistent control granularity, strategy conflict and control failure inside and outside the cluster by constructing a flexible state mapping matrix and using the response interface model as an intermediary to achieve flexible capability matching and control strategy linkage between the upper and lower layers, thereby improving the dynamic adjustment capability of the cluster.

The utility model discloses an interface converter which comprises a first interface part and a second interface part, and two ends of the first interface part are respectively provided with a first connecting end and a second connecting end which are communicated with each other; a second connector part is connected to the first connector part in a sleeving mode and can move and be locked in the axial direction of the first connector part, and a third connecting end is formed at one end of the second connector part; the movement path of the third connecting end has a first state in which the second connecting end extends out of the third connecting end and a second state in which the second connecting end retracts to the third connecting end, and the third connecting end and the second connecting end are matched with different interface models; according to the device, quick switching among various interfaces can be realized, the replacement time is effectively shortened, and the water supply efficiency is improved.

The application provides a connection code generation method and device, electronic equipment, computer readable storage medium and computer program product; the method comprises the following steps: determining a plurality of uniform interface models in the memory for a plurality of source heterogeneous source files corresponding to a plurality of hardware modules; based on each uniform interface model, a hierarchical signal tree is constructed for each hardware module; based on a plurality of signal trees, determine the signal pair to be matched, and determine the bit width topology characteristics of the interface signal in the signal pair to be matched; calculate the similarity between the names of the interface signals in the signal pair to be matched, and the compatibility score of the direction; based on the bit width topology characteristics, the similarity and the compatibility score, determine the consistency score of the signal pair to be matched, and when the consistency score is greater than the score threshold, it is determined that the signal pair to be matched has a connection matching relationship; based on the connection matching relationship, a first connection code is generated. Through the application, the generation accuracy of the connection code of the interface signal can be improved.

The invention relates to a method for performing static inspection on hardware description language codes, which is characterized in that an accurate chip object model is constructed and a submodule interface model is utilized to perform efficient cross-module analysis, so that the inspection speed is effectively improved, and time consumption caused by complete analysis of whole design details in a traditional method is avoided; meanwhile, deep semantic level analysis is carried out based on the object model, so that the false report rate and the missing report rate are effectively reduced, and the problem positioning accuracy is improved; besides, by carrying out intelligent classification and priority ranking on inspection results and supporting unified inspection on design and verification codes, user experience is greatly optimized, the error correction time of engineers is shortened, and therefore the efficiency and quality of chip design early-stage defect discovery are comprehensively improved.

Methods, systems, and computer program products for managing interactions between a content management system (CMS) and a large language model (LLM) system. The semantics of user questions can be considered before prompting an LLM, or alternatively, before querying datasets that are local to the CMS. Given a user question to be answered, the embedding of the user question can be matched against preconfigured sample question embeddings to determine a best match. A prompt corresponding to the determined best match is then configured based on identification of the class or classes that correspond to the matched question. Prompts for provision to LLMs can be synthesized based on a particular user's identity and / or based on the particular user's historical collaboration activities over objects of the CMS. The LLM can be hosted by a third-party provider. Alternatively all or portions of a large language model system can be hosted within the CMS.

The invention provides a Web front-end interface adaptive generation method and system, and the method comprises the steps: collecting multi-modal original behavior data correspondingly generated by a user in an interface interaction process, and carrying out the intention feature separation of the multi-modal original behavior data, so as to create a corresponding dual-path feature extraction network; projecting the dominant intention vector and the implicit demand vector to a unified semantic vector space through a preset mapping module so as to perform weighted fusion on the dominant intention vector and the implicit demand vector according to the dynamic confidence of the current interaction scene and generate a corresponding dynamic user portrait; reasoning an interface element attribute adjustment instruction and an interaction logic optimization strategy corresponding to the dynamic user portrait through a preset generative interface model, applying the interface element attribute adjustment instruction and the interaction logic optimization strategy to a current Web interface in combination with a front-end rendering engine, and correspondingly adjusting node attributes and cascading style sheet rules of a preset document object model to generate a corresponding target interaction interface. The interface generation efficiency can be effectively improved.

The application relates to an interface contract optimization adjustment method and device, a terminal and a computer readable storage medium. The interface contract optimization adjustment method comprises the following steps: after a spring bean is initialized, a tool class is used for interception and scanning; if the rest&rpc interface model in the scanning result contains an annotation swagger, the interface protocol on the arena is automatically covered, so that the interface protocol on the arena can be kept consistent with the interface protocol in the code without manual configuration of the interface protocol on the arena; if the rest&rpc interface model in the scanning result does not contain the swagger annotation, the rest&rpc interface model without the swagger annotation is reported to an interface protocol management system for subsequent processing; the interface protocol management system scans an arena interface list according to a preset period, and judges whether the interface data of the arena interface list matches the interface model data; if the interface data of the arena interface list does not match the interface model data, automatic rectification and release are performed in the swagger mode, the automatic monitoring and updating of the interface protocol can be realized, and the research and development efficiency and the interface protocol test efficiency can be improved.

The invention relates to the technical field of high-entropy alloy model construction. The invention provides a simulation modeling method, system and equipment for a high-entropy alloy coating interface and a storage medium. The method comprises the following steps: determining element types, contents and basic structures of a high-entropy alloy system according to application requirements; a special quasi-random structure file is generated by adopting a Monte Carlo simulated annealing algorithm, and a surface model is constructed through format conversion and crystal face cutting; specific atom pairs needing to be preferentially considered are recognized based on the atomic radius and the enthalpy formation criterion, and a surface structure model containing the specific atom pairs is constructed by exchanging the positions of surface atoms and block atoms; constructing a matrix surface model according to the actual matrix material parameters; the two are combined, and coordinates are calculated by setting interface spacing and layer number parameters so as to construct a coating interface model. The problem that in existing numerical simulation of the high-entropy alloy coating interface, a microstructure model cannot be accurately established due to the fact that specific atoms are difficult to recognize and position is solved.

The application discloses an integrated visual intelligent platform of WisdomStore local deployment under a brain-like technology, and the platform main body is composed of a user interface layer, a basic service layer, a language framework layer and a bottom service layer; the user interface layer comprises four modules, namely, a data labeling interface, a model training interface, a model reasoning section and a result display interface; the basic service layer comprises two modules, namely, data processing and model management; the language framework layer is based on a Python language and an ecological system thereof; and the bottom service layer combines public data sets and internal customized data sets in the data source part. The application improves the intelligent level of the industry, improves market competitiveness, promotes digital transformation and promotes scientific and technological innovation.

A flexible-architecture complex equipment total-factor digital prototype integration and fusion method comprises the following steps: defining components of a digital prototype, hierarchically analyzing all model components and interface models contained in complex equipment, classifying the components and the interface models to realize tree-like component classification and interface classification information, and establishing a model component library and integrating / fusing other models to realize integration and fusion of the complex equipment total-factor digital prototype integration and fusion. And through further fusion of the required models, the digital prototype composition integrated design is realized, and the standardized comprehensive coverage of interfaces among all elements, multiple levels and systems of complex aerospace equipment can be realized.

The invention belongs to the technical field of fan operation control, and particularly relates to a multi-manufacturer fan unified control system based on Web forwarding and protocol adaptation. Accessing a unified fan control instruction sent by a dispatching center or an external system; the accessed unified fan control instruction automatically selects a corresponding protocol adaptation module based on a manufacturer protocol interface model to obtain a manufacturer fan control instruction; original data is converted into a unified data structure through field mapping; constructing a wind power mapping function according to the digital relationship between the fan output power and the wind speed change; performing health state quantitative judgment on the controllability of the fan based on the alarm quantity of the unified data structure; and based on the unified data structure, the wind power mapping function and the health state quantitative judgment calculation, generating a closed-loop scheduling instruction of the fan. The control system can realize unification of fan control interfaces, standardization of fan data and coordinated control of fan clusters under the conditions of mixed use of multiple protocols, complex fan scenes and diverse fan manufacturers.

The application relates to the field of automobile testing technology and discloses a vehicle controller model-in-loop test system and method, which comprises a framework module, a calibration module, a script module and an interface module; wherein the framework module is used for building a physical model required by a model-in-loop test environment, the physical model is built according to a preset platform model architecture of vehicle controller software testing in response to preset test requirements; the calibration module is used for providing a vehicle controller software model to be tested after data calibration; the script module comprises a script program connected with the physical model and the vehicle controller software model to be tested, and generates a corresponding interface model in the interface module by running the script program, the interface model is used for communication between the framework module and the calibration module. The application can provide a comprehensive, effective and automatic model-in-loop test system of the vehicle controller suitable for different projects and products, improve the model-in-loop test efficiency of the vehicle controller software model and guarantee the safe operation of the vehicle.

This invention relates to an automated testing system and method for low-code applications based on machine learning, comprising the following key steps: First, receiving test requirements from the low-code application and obtaining interface element diagrams; second, processing the interface element diagrams using image processing and semantic recognition techniques to extract the interface model; then, automatically generating and executing test cases based on the interface model, and collecting test result data; finally, analyzing the test result data and generating a detailed test report. This invention also involves constructing and using a framework recognition network and a text extraction network to accurately identify the categories and text meanings of interface elements, and using clustering analysis and decision tree algorithms to deeply analyze test data, thereby effectively identifying abnormal patterns, error causes, and paths. This invention can be widely applied in the field of software development, especially for application testing on low-code platforms, improving software quality and testing efficiency.

A device transmits, from an overlay service controller associated with an overlay network to an underlay service controller associated with an underlay network and via a semantic structure defined for a service usage API, a request for a service offered by the underlay network. A device may receive, at the overlay service controller, from the underlay service controller and via the service usage API, attachment metadata. A device may map, based on the attachment metadata and via the overlay service controller, an overlay network tunnel to the service in the underlay network to generate an overlay tunnel mapping, wherein the overlay service controller does not have knowledge of details about implementing the service in order to enable the overlay network to consume the service offered by the underlay network. A device may communicate tunneled packets from the overlay network to the underlay network via the overlay tunnel mapping.

The invention provides a method and a system for uniformly managing and controlling an API (Application Program Interface) by a cloud interface aggregation layer. The method comprises the following steps of: firstly, acquiring an original interface definition containing a communication protocol and a data format of each financial cloud platform, and constructing an aggregation interface model capable of mapping original parameters of different platforms into a standard parameter set in an aggregation layer according to the original interface definition; then, dynamically generating a control strategy based on an external supervision rule and a real-time running state of the cloud platform, analyzing the control strategy into an executable rule set, and embedding the executable rule set into the model to form an enhanced interface model; and when a financial transaction request is received through the aggregation layer, mapping and compliance verification based on standard parameters are carried out by using the enhancement model to generate a compliance request, and finally the compliance request is forwarded to a target cloud platform interface matched with a real-time management and control strategy. According to the technical scheme provided by the invention, the self-adaptability and the intelligent level of API management in a cross-cloud transaction scene are improved, the compliance risk is reduced, and the overall stability and the operation and maintenance efficiency of the system are improved.

The invention relates to a multi-modal data processing method and device, equipment, a storage medium and a program product. Belongs to the technical field of artificial intelligence. The method comprises the steps of obtaining first task information to be executed by first equipment; responding to the first task information, and acquiring first interface information of the first equipment; processing the first interface information through an interface model to obtain first action information; controlling the first equipment to execute the first action information; obtaining second interface information of the first equipment; processing the second interface information through a feedback model to determine first execution information of the first task information; according to first execution information of the first task information, first execution track information of the first task information is determined to serve as first training data, and the first execution track information comprises the first interface information, the first action information and the second interface information; and training the interface model by using the first training data.

The invention discloses a video decoding method and device, equipment and a storage medium, and belongs to the field of video decoding, and the method comprises the steps: pausing a first task thread, and writing a to-be-decoded video data block of a to-be-decoded video stream into a preset input buffer area in response to a first writing operation; decoding the to-be-decoded video data block stored in the input buffer area, and writing decoded data obtained by decoding into an output buffer area through a second write-in operation; and under the condition that the decoded data is detected to form the decoded video data block in the output buffer area, restoring to execute the first task thread so as to read the decoded video data block. According to the method, by introducing a task synchronization mechanism, the stability and data consistency of the decoding process are improved, task scheduling optimization and buffer management refinement in the decoding process are realized, and the problems of task congestion and resource competition caused by mismatching of interface models are relieved.

The present application provides a method, apparatus, device and medium for automatically generating an input interface model based on Matlab. The method extracts target signal information from multiple interface signal information in a target Excel table including multiple interface signal information of vehicle underlying software, calibrates the target signal information, and generates a corresponding target structure. The method can automatically generate an input interface model, reduces the error rate of signal addition, improves efficiency and software development quality, and provides a more convenient way to generate an input interface model.

The invention discloses a deep space exploration task system interface design method, and belongs to the technical field of deep space exploration. The method comprises the following steps: extracting a deep space exploration field interface design knowledge ontology and extracting a semantic ontology; expanding a SysML meta-model to establish a field interface meta-model, and defining special versions and icons of electrical, mechanical, thermal, information and other ports; constructing a hierarchical domain interface model and an interface design model library, and realizing solidification and reuse of design knowledge; by configuring a packaged field interface view template, interface design in a graphical or tabular mode is supported; based on the template, an interface model is rapidly generated, coordinated and verified through drag multiplexing or form importing, and automatic verification of interface compliance, completeness, matching performance and binding performance is achieved. According to the invention, the standardization and cooperation efficiency of interface design are improved, and a systematized solution is provided for a deep space exploration task system interface.

This invention proposes a knowledge mapping system and analysis method for software reliability requirements, belonging to the field of software reliability requirements analysis. This method constructs a standardized requirements modeling system comprising an external cross-linking interface model, a functional logic model, a functional combination model, and a state scenario model to achieve a formal representation of software requirements. It then decomposes and summarizes individual functional requirements, identifies potential failure modes based on a pre-defined classification and comparison system, and establishes a three-layer mapping system of software functional requirements – failure modes – reliability requirements. This completes the forward derivation and transformation of reliability requirements, outputting standardized analysis results. This invention achieves standardized and traceable processing of software reliability requirements analysis, providing prerequisite input and logical basis for the development of highly reliable software, ensuring system stability and task success.

The embodiment of the invention discloses a pattern generation method and device, a storage medium and electronic equipment. A model editing interface is displayed, and the model editing interface comprises a virtual object model; in response to an applique generation operation for the virtual object model, determining a model applique area in the virtual object model; in response to a sound input operation associated with the decal generation operation, determining at least one pattern generation parameter of the basic pattern element based on sound feature information of the input sound; according to the pattern generation parameters of the basic pattern elements, the basic pattern elements are generated in the model decal area, and a target decal pattern of the virtual object model is obtained. Thus, when the model is edited and created, the target decal pattern is generated in the virtual object model according to the sound feature information of the recorded sound, the decal pattern generation process in model creation can be simplified, meanwhile, the flexibility and interestingness of model decal creation can be improved, and then the pattern generation efficiency is improved.

The invention provides a dynamic process card generation and data association method based on process metadata definition, and simultaneously meets the requirements of WYSIWYG and structuralization of process planning. The card interface model responds to process data layout configured in the process metadata model; field-level binding is established between process information such as cells and a database through structural attributes; incremental updating is realized based on structured data state comparison; the integration of any process level and WYSIWYG interfaces, rule-based card rules, sub-grid column merging, data aggregation and the like are supported; and full-link data tracing in the process planning process is realized in combination with an annotation state machine and an offline synchronization mechanism. The problems that in a traditional process system, data structuralization and output are inconsistent, a complex process structure cannot be visually expressed, and multi-end collaborative conflicts exist are solved, and the process design efficiency and the data consistency are remarkably improved.

The application discloses a data acquisition method, device, equipment and computer storage medium, the method comprises the following steps: in the case that the data acquisition instruction is received, according to the corresponding relationship between the preset acquisition task information and the acquisition task ID, the target acquisition task information corresponding to the acquisition task ID in the data acquisition instruction is found, and the target acquisition task information includes the interface model ID; according to the interface model ID, the interface configuration information is acquired, and the calling interface is assembled based on the interface configuration information; in the case that the communication connection of the SDN controller corresponding to the interface model ID is established through the calling interface, the original data of the SDN controller corresponding to the SDN interface model corresponding to the interface model ID is acquired; according to the preset mapping relationship between the SDN interface model and the business model, the original data is converted into target business data; the target business data is stored to the data warehouse, so as to realize the low-code development interface, and the efficiency of data acquisition is improved.