393 results about "System interface" patented technology

The invention discloses a self-adaptive NL2SQL method and system based on a large language model and retrieval enhancement. The method comprises four key steps of mode linking, example enhancement and SQL generation, multi-path thinking chain fusion reasoning and multi-round self-correction. The system comprises the following modules: a knowledge base management module, an input analysis and preprocessing module, a mode link module, an example enhancement module, an SQL (Structured Query Language) generation module, an SQL fusion and optimization module, an SQL execution and feedback module, a multi-round self-correction module, a Prompt construction and context management module, a system interface module and a content generation module. The method has the advantages that multiple large models are supported, a data source is quickly accessed, a user-defined prompt structure is configured, good engineering maintainability and scene adaptability are achieved, and SQL generation accuracy, performability and universality are improved.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enabling a user to conduct a dialogue. Implementations of the system learn when to rely on supporting evidence, obtained from an external search system via a search system interface, and are also able to generate replies for the user that align with the preferences of a previously trained response selection neural network. Implementations of the system can also use a previously trained rule violation detection neural network to generate replies that take account of previously learnt rules.

The invention discloses an AI Agent-based low-code outbound verbal skill process configuration method and system, and the method comprises the steps: carrying out the word segmentation and semantic analysis of an original verbal skill text through a verbal skill configuration Agent, recognizing the type of a core business intention, extracting key entity information, carrying out the feature extraction and weight calculation of customer portrait data, and generating a customer feature model, fusing the key entity information with the customer feature model to generate an optimized verbal skill suggestion; performing keyword scanning, semantic rule matching and context association analysis on the optimized verbal skill suggestion through a compliance detection Agent to obtain a latest compliance standard update and generate a compliance detection result; carrying out automatic replacement and risk prompt supplement on violation contents through a dynamic correction function, and generating a compliant version verbal skill; and performing format standardization processing on the verbal skill of the compliant version through the outbound system interface, and then pushing the verbal skill to an outbound execution platform. According to the invention, the problems of low verbal skill configuration efficiency and insufficient compliance detection capability in the prior art are solved.

The invention provides a large-model-oriented heterogeneous computing power adaptive compiling method, which comprises the following steps that: a user inputs a trained large model through a system interface, and a system front-end conversion module analyzes a computational graph of the model and converts the computational graph into an intermediate representation based on a unified operator description language (UDL); the system hardware sensing module automatically detects and extracts hardware feature fingerprints of at least one piece of target hardware; based on the unified operator description language UDL intermediate representation and the hardware feature fingerprint, automatically generating an optimization adaptation rule oriented to at least one piece of target hardware; wherein the basis of parameterized filling comprises specific parameters of hardware feature fingerprints and optimized attribute tags carried in an intermediate representation of a unified operator description language (UDL); and generating and deploying multiple back-end codes. The method has the beneficial effects that intelligent compiling based on hardware features can be realized, and the deployment efficiency and the operation performance of a large model in a complex heterogeneous computing power cluster are remarkably improved.

The invention relates to the technical field of data processing, in particular to an invoicing, accounting and tax declaration method and system for a supply chain, and the method comprises the following steps: obtaining original data, including purchase order, customs declaration and invoice information, generated in each business link of the supply chain, and synchronizing the original data to a financial data center through a system interface for standardization processing; classifying the standardized data based on a preset rule, generating a to-be-processed receivable bill and a to-be-processed payable bill, and associating corresponding business records; comparing the purchase order, the acceptance record and the invoice information, generating an account checking difference report, and pushing the account checking difference report to a related service terminal; updating the account period state according to the account checking result; extracting tax refund elements in the customs declaration, generating a tax refund application, and tracking an auditing progress until the tax refund application arrives at an account and is filed; the method automatically synchronizes data of links such as customs affair and storage through a system interface and performs standardization processing, solves the problem of lagging of manual data collection, and improves the data synchronization efficiency.

The invention relates to the technical field of intelligent management and control, and discloses an engineering project full life cycle cost intelligent management and control system, which comprises a data acquisition and integration module used for acquiring multi-source cost data of each stage of an engineering project and cleaning and integrating the multi-source cost data; the cost prediction and analysis module is used for performing cost prediction and real-time analysis on the integrated data; and the real-time monitoring and early warning module is used for carrying out omnibearing real-time monitoring on the engineering project cost and giving out early warning when the engineering project cost is abnormal. Through an Internet of Things data acquisition unit, an external system interface unit and a data cleaning and standardization unit in the data acquisition and integration module, comprehensive acquisition of multi-source cost data in each stage of an engineering project is realized, and denoising, de-duplication processing and format conversion are performed on the acquired multi-source heterogeneous data; the accuracy and consistency of the data are ensured, and a high-quality data basis is provided for subsequent cost prediction, analysis, monitoring and decision making.

The invention discloses a system-on-chip, a system-on-chip configuration method and electronic equipment. The system on chip comprises a multi-core RISC-V processor and a field programmable gate array (FPGA), the FPGA is configured to send an initial configuration completion signal to the multi-core RISC-V processor after the initial configuration is completed by power-on starting; the multi-core RISC-V processor is configured to start a bootloader according to the initial configuration completion signal, and the bootloader is configured to start the bootloader according to the initial configuration completion signal; under the condition that an FPGA reconfiguration event occurs, a reconfiguration request signal is sent to the FPGA; the FPGA is further configured to set a storage position to obtain new configuration data, and after reconfiguration is completed, a reconfiguration completion signal is sent to the multi-core RISC-V processor; the multi-core RISC-V processor is further configured to execute system interface reinitialization and / or configuration parameter updating according to the reconfiguration completion signal. According to the scheme of the invention, a bidirectional configuration mechanism between the FPGA and the RISC-V is realized based on the standardized interaction signal, and the dynamic configuration / upgrading requirements of system functions are fully met.

The invention belongs to the field of automatic testing, and particularly relates to an automatic testing system and method for aviation fly-by-wire flight control equipment, and the system comprises a system self-inspection unit, a system resource unit, a system interface adaption unit, and a system testing control unit. And the system self-checking unit controls the automatic test system to execute a self-checking function through operation software. The test efficiency and the test coverage rate can be remarkably improved, the problem of function test omission can be effectively solved, the fault of the tested airborne avionics equipment is analyzed by adding the YMECA fault analysis module and combining the definition event and the structure function of the fault tree, qualitative analysis is carried out on the fault, a professional basis is provided for fault diagnosis, the maintenance difficulty is reduced, and the test efficiency is improved. The aircraft maintenance guarantee efficiency is improved, and joint test of a plurality of airborne avionics devices and parallel test of a plurality of airborne avionics devices of the same model in a fly-by-wire flight control system of a certain type of fighter can be realized.

The invention relates to the technical field of carbon emission, in particular to an on-chain enterprise carbon emission accounting method and system. The method comprises the following steps: acquiring energy consumption, process flow and supply chain collaborative data of an enterprise in links of raw material acquisition, production processing, logistics transportation, equipment operation and recovery processing through Internet of Things equipment, and generating a carbon emission data set; based on a life cycle evaluation theory, boundaries of direct emission, indirect energy emission and supply chain associated emission are divided, and enterprise-level, product-level and supply chain-level carbon emission accounting models are constructed. A machine learning algorithm is utilized to analyze production fluctuation data in real time, carbon emission factor weights and accounting boundary parameters are dynamically adjusted, and an accounting result is optimized. And outputting a result to a green purchase decision-making system, a carbon asset management system and a supply chain collaboration platform. The system integrates industrial Internet of Things equipment, block chain nodes and enterprise resource planning system interfaces, collects and verifies full-link data in real time, solves the problem of data collection, and improves the accounting reliability.

The invention relates to the technical field of mobile terminal software updating, and provides an off-line H5 non-inductive updating method based on atomization version switching, which comprises the following steps: packaging and compressing H5 resources, calling a system interface to obtain an application writable sandbox path, and comparing version numbers in the application writable sandbox path and a server; creating a target version isolation catalogue and a temporary catalogue, writing the temporary file into a sandbox catalogue in an atomic in-place manner in a blocking manner, traversing the catalogue to confirm an entry file, constructing a symbolic link to point to a new target version isolation catalogue, and replacing an original symbolic link; establishing an off-line resource management structure under an application sandbox path, judging updating according to a network strategy and a gray rule, and evaluating a system abnormal index after updating; the invention further provides an off-line H5 non-inductive updating system based on atomization version switching. The off-line H5 non-inductive updating system comprises a resource presetting module, a sandbox management module, a non-inductive updating engine, a protocol adaptation layer and a safety verification module.

The invention relates to a multi-source data fusion type passenger station intelligent management and control method and system based on AI drive, and belongs to the technical field of infrastructure intelligent management, and the intelligent management and control method comprises the steps: obtaining video stream data through an intelligent camera, obtaining environment monitoring data through an Internet of Things sensor, and obtaining ticket checking gate log data through a business system interface. And performing edge calculation processing on the video stream data to generate structured metadata. And according to the space grid ID alignment data, aggregating and generating a fusion feature matrix according to a time window. And calling a passenger flow prediction model to process the fused feature matrix, and outputting a passenger flow prediction value and a confidence score. The predicted value is compared with a dynamic threshold, and a standardized decision event is generated when the threshold is exceeded. And a linkage task package is generated through rule engine matching, the linkage task package is distributed to each device through message middleware to execute cooperative operation, and model parameters and threshold library data are updated according to a device response message. The management and control requirements of large-scale passenger flow in the passenger station can be effectively met.

The invention relates to a one-code multi-service method and system in a medical scene, and the method comprises the steps: dynamic code generation: generating a visual dynamic code after security processing based on a user identity, a current medical scene code, a service intention, a timestamp and a random number; the dynamic codes are analyzed and verified, format verification, timeliness verification, anti-replay verification and digital signature verification are executed on the obtained dynamic codes, the dynamic codes are analyzed, and an analysis result is obtained; and performing service routing decision and execution, querying a predefined scene-service-authority rule according to the scene and user information in the dynamic coding analysis result, determining a target service of a user, calling a corresponding back-end medical service system interface to receive and perform service response, and finally returning a service result to the user terminal. According to the invention, the convenience, the integration level, the safety and the user experience of medical services can be improved, the operation and maintenance efficiency of the medical services is improved, and the collaborative cost of multiple medical systems is reduced.

The invention particularly relates to an exciter virtualization-based airborne application software simulation running environment construction method, which comprises the following steps of: carrying out digital packaging on an operating system interface to realize virtualization running of an embedded real-time operating system; digitally packaging communication interfaces such as a 1553B bus, an ARINC429 bus, discrete magnitude and the like so as to reproduce real avionics communication characteristics in a virtual environment; and simulating a peripheral software and signal interaction process so as to realize virtual generation and response of the multi-source excitation signal. By constructing the simulation running environment, the dynamic test of the airborne embedded software can be carried out under the condition of no real hardware, so that the test sample space is expanded, the test coverage rate and sufficiency are improved, the design and execution efficiency of a dynamic test case is improved, repeated manual operation is reduced, the test cost of the airborne embedded software is reduced, and the test efficiency of the airborne embedded software is improved. The economic benefit is improved.

An extended reading module for an access control system with a radio interface for reading an access identifier from a mobile terminal device, with an access control device interface for connection to an access control device, wherein the access control device interface is configured to accept a device data packet based on an access identifier from the access control device, with a system interface for transmitting a module data packet within the access control system, wherein the extended reading module is configured to provide and transmit the module data packet based on the access identifier or the device data packet.

The invention discloses an intelligent supply chain coordination management system based on big data, and the system comprises a data collection and integration module, a data processing module, a demand prediction module, a collaborative decision module, a logistics optimization module, a risk assessment module, an intelligent execution module, and a visualization module. The data acquisition and integration module comprises a sensor, an RFID reader-writer, a system interface, a logistics data interface and an e-commerce platform interface and is used for acquiring the data of the whole link of the supply chain, and the data processing module comprises a data cleaning unit, a data fusion unit and a distributed storage unit. Decision guidance of single-party benefit maximization of a core enterprise is broken through, reasonable appeals of upstream and downstream cooperative partners are fully considered, and values of all parties are balanced, so that a supply chain synergistic effect is remarkably improved, and synchronous improvement of overall operation efficiency and comprehensive benefits is promoted.

The invention discloses a virtual-real combined sky-ground multi-domain heterogeneous network cooperative computing simulation system and a virtual-real combined sky-ground multi-domain heterogeneous network cooperative computing simulation method. The system comprises a heterogeneous computing power prototype subsystem, a virtual simulation subsystem, a satellite-borne general computing terminal, a programmable network simulator, a heterogeneous resource management subsystem and a simulation verification system interface. Real hardware computing power characteristics are introduced through a physical board card, large-scale expansion is realized through virtual nodes, and authenticity and large-scale performance of simulation are considered; link parameters are generated according to a high-precision orbit dynamics model, and the fidelity of sky-ground network simulation is greatly improved; based on a mixed container arrangement technology, unified management and intelligent scheduling of sky, air and ground heterogeneous resources are realized, and a powerful platform is provided for verifying an advanced cross-domain collaborative algorithm; one set of system can support various simulation verification requirements of networking routing, task unloading, distributed cooperative computing, constellation cluster management and control and the like, and the research and development cost and complexity are reduced.

A method, system, and apparatus, including a computer program encoded on a computer storage medium, for enabling a user to conduct a dialogue. System implementations can learn when to rely on supporting evidence obtained from an external search system via a search system interface and generate answers for the user that are consistent with the preferences of a previously trained response selection neural network. System implementations can also use a previously trained rule violation detection neural network to generate answers that take into account previously learned rules.

The invention, which belongs to the technical field of data processing, relates to an intelligent convenient gravel aggregate transaction system comprising a user interaction layer used for receiving a user instruction and displaying information; the cloud intelligent central layer is in communication connection with the user interaction layer and is used for performing intelligent calculation, data collaboration and safety control; and the full-link system docking layer is in communication connection with the cloud intelligent center layer and is used for realizing data intercommunication with an external service system. Through technology fusion of AI, the block chain and the Internet of Things and whole-process collaborative design, information islands are eliminated, automatic closed loop of the whole transaction process and whole quality traceability are guaranteed, and the transaction risk is reduced.

A first command associated with a first memory die is communicated via a first portion of an interface of the memory sub-system. A second command associated with a second memory die is communicated via the first portion of the interface to a second memory die. A data burst corresponding to the first memory die is caused to be communicated via a second portion of the interface, where the second command is communicated via the first portion of the interface concurrently with the data burst communicated via the second portion of the interface.

The invention discloses a hydraulic engineering construction intelligent scheduling method and system based on multi-source data fusion, and relates to the technical field of hydraulic engineering construction scheduling, and the method comprises the steps: collecting construction site multi-source data through on-site deployment of sensing equipment and a system interface, and carrying out format standardization and time sequence alignment processing; constructing a construction state sensing model based on the multi-source data of the construction site, and representing the current construction state; according to a current construction state and a task process, constructing a task directed dependency graph, extracting resource requirements, construction windows and priority attributes of each task, screening a scheduling task set, and constructing a scheduling constraint structure comprising process constraints, resource boundaries and environmental adaptability as scheduling optimization input; and constructing a construction scheduling optimization model based on scheduling optimization, and issuing a scheduling result to a site. According to the method, construction site multi-source data fusion modeling and scheduling intelligent optimization are realized, and the scheduling real-time performance and the resource configuration accuracy are improved.

The invention discloses a dynamic self-verification method based on service flow-test flow homologous heterogeneous execution. The method comprises the following steps: uniformly describing service logic and a corresponding interface test contract through a strong type of domain specific language (DSL); the method comprises the following steps: simultaneously compiling homologous DSL descriptions into stateful business workflows executed by a process engine and stateless and combinable atomic test contract sets called by a test executor by utilizing a double-path compiling engine; during operation, loose coupling synchronous triggering and execution of a service flow and a test flow are realized based on a high-throughput event bus, and real-time and high-fidelity contract verification, performance monitoring and chaos probe testing are performed on cross-system interface calling in a production environment. According to the invention, the traditional post-event and off-line integration test is converted into the in-event, on-line and continuous system endogenous capability, and the industrial problems that the complex enterprise system group integration test is difficult and the operation and maintenance monitoring is passive are effectively solved.

A line replaceable unit (LRU) includes a data communication interface configured to receive identification (ID) data from an aircraft communication bus, an aircraft systems interface configured to receive aircraft systems data corresponding to an operation of at least one aircraft system, and an LRU data interface configured to receive LRU data corresponding to the LRU. The LRU further includes a processor and a memory unit. The processor processes the aircraft systems data and the LRU data and determine at least one data category. The memory unit includes a plurality of data partitions. The processor is configured to generate at least one configuration data package by combining the ID data with one or both of the aircraft systems data and the LRU data, and to store the configuration data package in a given data partition based on the data category.

The invention provides a desktop browser plug-in compatible adaptation method and system based on a credential terminal Web application, and relates to the technical field of credential terminal Web application, firstly, behavior data of a plug-in during operation of a credential terminal is captured, including calling a system interface, accessing local resources and outputting a data rendering record, and time sequence correlation analysis is performed on the data; the method comprises the following steps: establishing an interaction behavior fingerprint, identifying an abnormal interaction node, calling a mismatching pattern library to determine a mismatching reason and generate an adaptive adjustment instruction for the abnormal node, injecting the instruction into a plug-in running process, starting a behavior monitoring process, recording the adjusted interaction behavior fingerprint, and judging a plug-in function completion condition based on adjusted data. The effective adjusting parameters are extracted to construct the adaptation operation process, the final compatible adaptation scheme is generated, and the compatible adaptation efficiency and accuracy of the plug-in and the credential terminal can be improved.

The present disclosure introduces an AI-based system (100) and method for predicting the risk of acute exacerbation of chronic obstructive pulmonary disease (COPD) over three months. The system interfaces with consumer devices through REST APIs, ensuring secure communication via HTTPS. Client modules collect and pre-process raw data for integrity and compatibility. This data is then sent to the server (104) which is then transmitted to Input module, the input module (112) authenticates and validates it. The module processes personal details, respiratory history, allergies, vaccination and medication history, and demographic data for air quality analysis. The prediction module (116) uses a CART Model with 90% accuracy to evaluate COPD risk. Based on predefined thresholds, the clinical pathway module (118) and risk prediction response module (120) offer personalized treatment protocols and clinical decision support. The system complies with ISO 13485 standards for safety and reliability.

The present disclosure generally relates to techniques for managing camera sharing between devices. In some embodiments, a first computer system displays a system interface with a set of camera options for a second computer system and an option to select a camera of a second computer system for generating a video feed at the first computer system. In some embodiments, a first computer system is in a first mode of operation in which video information is provided to a second computer system, and the first computer system receives an input and switches to a second mode of operation and ceases providing the video information to the second computer system. In some embodiments, a first computer system determines whether or not to automatically set a camera of a second computer system as a system camera for the first computer system based on device proximity.

The invention relates to the technical field of interface integration development, and discloses a heterogeneous system interface integration method and device oriented to a manufacturing operation management system, and the method comprises the steps: converting original data based on an original communication protocol in a heterogeneous system into JSON format standard data based on a standard communication protocol based on a protocol converter, constructing a matching relationship between a heterogeneous system data structure in an XML form and a data structure of an MOM system business object; and sending the JSON format standard data and the data structure matching relationship to the MOM system through a standard communication protocol, so that the MOM system performs data processing and conversion on the JSON format standard data according to the data structure matching relationship in combination with a WebApi mode to obtain target data required by the MOM system. According to the method, the data integration complexity of the MOM system is effectively reduced, the repeated development work is reduced, the development efficiency and the data quality are improved, and the operation efficiency and the integration effect of the MOM system are guaranteed.

The invention discloses an intelligent simulation evaluation system and method for mixing knowledge retrieval enhancement and a model context protocol, and belongs to the technical field of simulation evaluation. The intelligent simulation evaluation system comprises a view layer, a service layer and a data layer; the view layer is provided with a natural language dialogue component used for providing an evaluation demand natural language text input interface and an evaluation result display interface for a user; the knowledge base management component is used for supporting a user to construct an evaluation priori knowledge text according to data source information and evaluation service requirements, and submitting the text to the RAG workflow system for retrieval and query; the data layer is provided with a relational simulation database, a time sequence simulation database, a non-relational simulation database and other system APIs. According to the method, reliable simulation evaluation and analysis results can be formed, evaluation users do not need to compile index codes in advance, evaluation requirements can be described only through natural languages, and related evaluation indexes and corresponding analysis results of any service can be generated.

The invention relates to the technical field of computer graphic processing, and discloses a method for automatically drawing a DCS (Distributed Control System) picture into a real-time database picture, which comprises the following steps of: firstly, identifying a DCS source file format, directly analyzing a public text format or intercepting a bottom layer rendering instruction for a private binary format, and extracting standardized discrete data; constructing an intermediate vector model, and performing coordinate normalization and curve smoothing processing on the static primitives by using an affine transformation matrix; meanwhile, syntactic analysis is conducted on the control script to construct an abstract syntax tree, and dynamic logic is converted; then recombining a composite object based on spatial semantics, and repairing pipeline topology connection by utilizing automatic adsorption and an orthogonal routing algorithm; and finally, calling a target system interface to complete object instantiation and persistent storage. According to the invention, the automatic high-fidelity migration of the DCS picture to the real-time database is realized, the labor cost is reduced, and the consistency and accuracy of the monitoring picture are ensured.

The invention discloses a method for automatically processing a business process embedded with a man-machine interaction node, and relates to the technical field of business process processing. Modeling is carried out according to BPMN2.0, node logic and data formats are defined, visual modeling is carried out through a tool, and version control is carried out; identifying a manual intervention scene, embedding an interaction node, configuring a multi-trigger condition, and adapting to multiple terminals and an interaction template; deploying a process engine, configuring parameters and mapping a system interface; the task is pushed when the interaction node is triggered, and the engine drives the process after user operation; abnormal and operation logs are recorded, stored and analyzed; and generating an execution report, regularly analyzing the bottleneck, and optimizing the process and parameters. According to the method, the man-machine interaction node is flexibly embedded, and the process execution flexibility and stability are improved; priority and response time efficiency are optimized, and risk management and control are enhanced; authority is refined, data are integrated, the operation and maintenance and iteration efficiency is improved, and the multi-service scene requirement is met.

The invention discloses a software development team collaborative efficiency evaluation method and system fused with multi-source data, and relates to the technical field of software development team management, and the construction method comprises the specific steps: S100, multi-source data collection: collecting structured data of task progress and code indexes by means of project management and a code warehouse system interface; according to the invention, through the multi-source data acquisition module, comprehensive acquisition of task progress, code index structured data, communication voice, video conference records and technical document unstructured data is realized, and the fusion of the multi-source data enriches the data basis of evaluation, so that the evaluation result is more comprehensive and accurate, and the evaluation efficiency is improved. And the data fusion and aging processing module adopts an attention mechanism to calculate the feature weight of the unstructured data and integrates the unstructured data and the structured data in combination with a fusion coefficient, so that the efficiency and accuracy of data processing are effectively improved.