69 results about "Integrated technology" patented technology

The invention discloses an AI service intelligent fault tolerance and degradation method, device and equipment based on a Java bytecode enhancement technology, a medium and a product, and relates to the technical field of AI service integration. According to the method, in a class loading period of Java application starting, a loaded class is scanned to identify target methods marked with declarative fault-tolerant annotations, a bytecode operation framework is utilized to enhance the target methods so as to implant a unified fault-tolerant logic interception entry, and then in a running period, when the target methods are called, the target methods are subjected to fault-tolerant annotation processing. And triggering a fault-tolerant interceptor through the interception entrance to analyze the annotation to obtain a fault-tolerant strategy, allocating an independent fault-tolerant component instance to the fault-tolerant interceptor based on the unique identifier of the method, constructing and executing an enhanced call chain containing a fusing check and retry mechanism, and finally, if the execution of the call chain fails, executing the fault-tolerant interceptor. And if yes, a preset degradation method in the fault-tolerant strategy is automatically executed, so that complete non-intrusive decoupling of AI service fault-tolerant management and service logic can be realized, and the reliability of the system is remarkably improved.

The invention discloses a penetrating supervision method and system based on market subject digital twinning, belongs to the technical field of market supervision and digital twinning, and aims to solve the technical problem of how to realize full-flow penetrating supervision of multi-source data and improve supervision accuracy and efficiency. Comprising the steps of performing data preprocessing on multi-source heterogeneous data, and constructing a unified data pool; performing 1: 1 three-dimensional modeling on the physical space of the market subject to obtain a digital twin model capable of real-time interaction; acquiring market subject state data in real time, synchronizing the state data to the digital twin model, checking the dynamic operation state of the market subject through the digital twin model, and marking an abnormal state; performing parallel computing on a large-scale scene through a parallel visual rendering algorithm, simulating a risk evolution path in combination with a simulation deduction and algorithm integration technology, and generating a risk level and early warning information; and generating a processing task based on the risk level and the early warning information, and feeding back a processing result to the digital twinborn model.

The invention provides an SSE-based HTTP to MCP protocol conversion method, and relates to the technical field of network communication and artificial intelligence engineering integration, and the method comprises the steps: receiving a request sent by a client through an SSE protocol, and extracting key parameters in the request; according to a preset rule mapping configuration, converting the key parameter into a parameter conforming to an original HTTP service interface specification, and constructing an HTTP request; sending the HTTP request to a target HTTP service, and obtaining HTTP response data; analyzing the HTTP response data, and mapping and packaging the HTTP response data according to the upper and lower field specifications of the MCP protocol; and segmenting the packaged MCP protocol data according to an SSE protocol format to generate a streaming response, and pushing the streaming response to a client in real time.

The invention discloses an integrated intelligent monitoring system and a hierarchical isolation method and equipment based on a security domain, and relates to the technical field of industrial automation system integration, the method comprises a centralized data bus, a modular function service and a service interface, the centralized data bus is used for receiving original real-time data acquired from bottom equipment; the modularized function service is used for designing each function service of the discrete manufacturing workshop into a mutually independent and pluggable module form, and each function service subscribes to required data from the centralized data bus; and the service interface is used for publishing the generated new service data back to the centralized data bus after the function service consumes the subscription data, so that other function services can subscribe and consume. According to the invention, the problems of architecture chaos, data islands and security risks in multi-subsystem integration can be effectively solved.

A kind of geotechnical engineering application analysis system based on BIM and GIS combination, it is related to geographic information technology field, it is characterized in that the system includes: data integration module, model fine presentation module, evaluation analysis module and attribute data modeling module, each module is sequentially connected, data integration module carries out integrated display to the various data of multi-source heterogeneous;Evaluation analysis module carries out evaluation analysis to pile foundation model according to the spatial position and attribute information of pile foundation model layer and engineering geology model layer in three-dimensional scene;Attribute data modeling module carries out modeling to the attribute field of geotechnical investigation design information model according to modeling parameter, and modeling result is rendered and exported in three-dimensional scene.Optical advantage: system realizes to "BIM+GIS" integrated technology as foundation, to multi-source heterogeneous data visualized integration, quantification analysis, collaborative application as goal, forms set above, ground, underground geotechnical engineering multi-source data three-dimensional visualized integrated display.

The invention discloses a debris flow silt arrester disaster prevention benefit evaluation method, and the method comprises the steps: constructing a hierarchical evaluation system which faces a future operation state and can integrate landform shape constraints, reservoir capacity operation conditions and a safety risk state on the premise of not remarkably increasing the data acquisition cost; according to the invention, an integrated technology of AHP weighting, two-level fuzzy synthesis and maximum membership level judgment is provided; wherein a calculation framework based on threshold determination and piecewise linear membership functions, qualitative index feature vector assignment, penalty mapping of interval optimal indexes and two-stage fuzzy comprehensive evaluation jointly form core features of the method; the weight is determined based on the analytic hierarchy process, the consistency check is passed, the two-stage fuzzy comprehensive evaluation and the maximum membership principle are further adopted to output the levels of'excellent, good, medium and poor ', and a quantitative basis is provided for inspection and maintenance of the silt arrester, desilting modification and risk grading management and control.

The application provides a ball game project general training method and an auxiliary referee system based on a deep learning technology for motion target detection, and comprises the following steps: establishing a basic weight parameter, establishing a trained weight parameter through deep learning, optimizing a parameter of a specific motion scene, collecting actual motion scene images through a designed parameter optimization module when an error occurs in the basic weight parameter, performing optimization training, and establishing an optimized weight parameter of the specific scene. The application establishes a gridized motion index parameter, feeds back a grid motion index change in real time during training or competition, and assists a coach in optimizing or improving a training effect according to the grid motion index change. An integrated technology of a multi-camera which can be arbitrarily stacked and expanded can be used for auxiliary refereeing during competition, and can also be used for playing back high-speed high-definition images of any viewing angle during training to help athletes analyze action postures and the like.

The invention discloses a wafer room temperature bonding method and application thereof, and belongs to the technical field of semiconductor advanced packaging and three-dimensional integration. The method comprises the following steps: providing a first wafer, and sequentially preparing a metal plane layer and an oxide layer on the surface of one side of the first wafer to form a metal / oxide composite layer; selectively etching the metal / oxide composite layer to remove the oxide layer and form a metal nanowire array layer on the metal plane layer; providing a second wafer, and preparing a metal material layer on the surface of one side of the second wafer; and aligning the surface, with the metal nanowire array layer, of the first wafer with the surface, with the metal material layer, of the second wafer, and then bonding. According to the invention, the metal nanowire array is introduced into the bonding interface, so that the nanowires are subjected to plastic deformation and local surface diffusion under the action of external pressure, that is, compact and reliable metal-metal bonding can be realized in a room temperature environment, and the requirements of a low-temperature process window and high strength are both considered.

The invention relates to a metering asset management system for a power grid, which is characterized in that firstly, multi-source heterogeneous data resources are integrated through a multi-platform data integration technology, and then, a multi-terminal access data visualization platform is established by utilizing a visualization platform building component; key indexes such as equipment inventory quantity and storage state, asset operation abnormity monitoring and delivery punctuality rate are displayed in real time; then, large-scale processing calculation and quality monitoring are carried out on the data through a data detection monitoring module, and a perfect data standard system is constructed while data scheduling and monitoring are achieved; and finally, constructing a data asset catalog through an analysis processing module, and carrying out blood relationship tracking and analysis processing on the received abnormal data by utilizing metadata intelligent acquisition and quality evaluation analysis, thereby realizing identification of an abnormal state, ensuring that data in each link of the metering assets is checkable, controllable and traceable, and improving the accuracy of the metering assets. And finally, a closed-loop management system of'index driving + visual monitoring 'is formed. The method has the advantages of intelligence, high efficiency, convenience and reasonability.

This invention relates to the field of data visualization and integration technology, specifically to a method and system for visually evaluating rehabilitation services. The method includes the following steps: acquiring and standardizing multi-dimensional indicator data; establishing a normalized matrix mapping parameter; and generating a set of visual evaluation charts for rehabilitation services. In this invention, by constructing a unified numbering set covering multi-dimensional indicators, effective organization and standardized management of data sources are achieved. Data fusion compatibility and accuracy are improved through field similarity comparison and unit conversion. Normalization calculations and grade grouping operations for values ​​such as service usage, resource allocation, job distribution, and fiscal expenditure ensure that various indicators are compared under a unified standard. Visual mapping of core parameters such as resource ratio, efficiency ratio, and coverage ratio is used. Interactive components and layer switching enhance the dynamic response and multi-view switching capabilities of the graphical interface, solving the problems of insufficient structure, single result presentation format, and lack of real-time performance in traditional evaluations.

The application discloses a bidirectional DC-DC converter and a control method, the converter adopts a magnetic integration technology and a switching multiplexing technology to combine a Boost circuit and a series resonant circuit, and realizes single-stage bidirectional DC-DC power conversion; compared with a two-stage converter composed of a traditional Boost and series connection, the number of power switching devices is reduced, and the efficiency and power density of the converter are improved; through the Boost interleaved parallel technology on the low-voltage side, the input current ripple is almost zero, the application occasions of the converter are increased, and the converter is particularly suitable for various applications such as a battery energy storage system and a new energy vehicle.

The utility model discloses a battery pack which comprises a box body, a cross beam, a battery module and a first supporting seat, the cross beam divides the box body into a first area for accommodating the battery module and a second area for accommodating other parts, and an output row serving as a positive electrode or a negative electrode is led out from the battery module. At least one output row is fixed on the first supporting seat, the box body comprises two edge beams which are oppositely arranged, the cross beam is arranged between the two edge beams, the top surface of the cross beam is lower than the top surfaces of the edge beams, so that a mounting space is reserved above the mounting surface, and the first supporting seat occupies the mounting space; according to the scheme, the height difference between the cross beam and the top surface of the box body edge beam is used as a mounting space for fixing and accommodating the first supporting seat, so that the function of fixing the first supporting seat is realized, the utilization rate of the internal space of the battery pack is improved, and the battery pack better meets the requirements of a CTP integration technology; and the battery pack has relatively high energy density in a limited space.

The invention discloses a precise generation and computing power cooperation technology based on an AIGC platform, and relates to the technical field of AI application in the building industry. According to the technology, by constructing an enterprise-level AI comprehensive platform integrating an AI technology forum, an AI tool resource library, a computing power dynamic scheduling module and a multi-level authority control module, the problems of resource dispersion, uneven computing power, extensive authority and low knowledge sharing efficiency are solved. The core of the method comprises the following steps: realizing three functions of creative oasis, model ocean and inspiration sky, and supporting picture uploading, AI same-style generation, model management and text drawing operation; a reinforcement learning-based computing power dynamic scheduling algorithm is adopted to intelligently allocate computing power resources; and designing a three-dimensional permission cube model to realize refined permission control of roles, scenes and operations. According to the method, the resource searching efficiency can be improved by more than 60%, the hardware resource utilization rate can be increased to 85%, the enterprise cost is effectively reduced, the data safety is guaranteed, and large-scale collaboration and digital transformation of AI application in the building industry are promoted.

The application discloses an energy consumption optimization method applied to multi-screen integration, relates to the technical field of screen integration, and comprises the following steps: a deep learning model for scoring the energy consumption of a single screen is constructed, and sample data are collected to train the deep learning model; a database for storing historical use data of the single screen is constructed, and the historical use data stored in the database is input into the trained deep learning model; according to the energy consumption evaluation score output by the deep learning model and the business demand of the integrated screen, corresponding single screens are selected, and the assembly sequence of the selected single screens is output; by using an LSTM network, temperature, voltage and other short-term non-structural interference are effectively filtered out through a forgetting gate, and features representing permanent loss such as accumulated time length and maintenance records are written into cell states through an input gate, so that surface fluctuations can be penetrated, and an evaluation score reflecting the real aging energy consumption level of the single screen can be accurately output, thereby solving the problem that the real power consumption of an old screen is difficult to quantify.

The application belongs to the technical field of computer software architecture and artificial intelligence integration, and discloses a general business system AI model unified configuration and whole life cycle management and control method. The application designs a general artificial intelligence model configuration data table, centrally stores basic information, interface access addresses, hierarchical authorization keys, version parameters and whole-process operation trace data of multi-vendor and multi-purpose AI models; adopts database table value parameters as standardized interaction carriers of front and rear ends, combines centralized encapsulation storage processes, uniformly carries various operation requests of front ends, and integrally realizes AI model adding, modifying, deleting and default model setting business processing. The application breaks through the industry disadvantages of dispersed configuration, messy interface, disordered management and control and operation without traceability when traditional application software accesses artificial intelligence, the overall scheme is not limited by industries, can be adapted to all kinds of scenes such as desktop application software, informatization management system, commercial business platform and office software, and provides reliable bottom technology support for standardized, safe and standardized access of all kinds of programs to AI capability.

The invention discloses a general-inductance integrated waveform power distribution method for the Internet of Vehicles, and belongs to the technical field of Internet of Vehicles and general-inductance integration. Comprising the steps of constructing a communication and sensing integrated system architecture based on the Internet of Vehicles, designing a power distribution scheme based on a communication data rate index and a sensing Cramer-Rao bound, designing a constraint algorithm of multi-objective optimization, solving a communication and sensing performance boundary to obtain an optimal distribution strategy and the like. Aiming at the advantage that a delay-Doppler domain modulation technology has high robustness in a high-speed vehicle network scene, the invention provides an Internet of Vehicles communication and inductance integrated waveform power distribution method under limited power budget, and meanwhile, the communication downlink sum rate and speed sensing Cramer-Rao bound performance is improved; and an efficient and reliable sensing means is provided for intelligent traffic cooperative control.

This application relates to a method, system, and medium for batch deployment and migration of low-voltage systems based on configuration templates and differential synchronization, belonging to the field of low-voltage equipment integration technology. The method for batch deployment and migration of low-voltage systems includes: creating parameter configuration templates based on device models and generating a project variable library by combining variable types; connecting low-voltage devices according to preset protocol driver plug-ins, collecting and converting device configuration items to form an application configuration snapshot; generating a theoretical configuration table based on actual values ​​in the project variable library, comparing it with the application configuration snapshot, calculating the configuration difference, and forming a configuration command sequence; selecting target devices according to configuration tasks, constructing a task execution queue, generating and transmitting the corresponding configuration command sequence, and returning command feedback information; parsing the command feedback information, determining the configuration execution result, obtaining a new configuration snapshot of the target device, and comparing it with the theoretical configuration table to verify the configuration execution result; ensuring the consistency and accuracy of the configuration.

Software code revision control in a federated software platform is provided. A source code update indication associated with a source code update identified for merger to a shared source code repository may be received. The source code update indication may comprise at least a proof of work data object generated based on one or more proof of work tests performed on the source code update in a local source code build environment. Proof of work data object may be analyzed to determine if the proof of work data object satisfies a bypass threshold based on application of one or more analytical models. In response to determining that the proof of work data object satisfies the bypass threshold, a modified source code integration workflow may be executed. The modified source code integration workflow may bypass at least one step of the baseline source code integration workflow.

The application provides a seamless integration method for components in Vue framework version evolution, belongs to the technical field of micro-frontend architecture and front-end component integration, and realizes decoupling and seamless integration of different versions of Vue components by loading old version Vue components into new version Vue applications through a micro-frontend container. The application can seamlessly use Vue 2 components in a Vue 3 project, reduces component library migration cost, avoids version conflicts, realizes quick integration of cross-version components and controllable management of the life cycle. The method has good compatibility, expansibility and high efficiency, and is suitable for version evolution and component reuse scenarios of large-scale front-end systems.

The invention discloses a novel medical patient unified identity tag technology design method, and relates to the technical field of medical treatment, a unique two-dimensional code is generated according to a millisecond timestamp of a user at a registration time point in a hospital, the unique two-dimensional code integrates timestamp information and patient personal information, and is bound with a patient identity card number and a social security card number, and the unique two-dimensional code is bound with the user personal information and the social security card number. And the doctor-seeing data of the patient is synchronized in real time. According to the invention, a plurality of medical document types are integrated through the unified two-dimensional code label, information carrying and operation of a patient in a treatment process are simplified, and redundant operation and waiting time are reduced. Especially for elderly patients, the simplified two-dimensional code information and the optimized operation process effectively improve the use convenience and adaptability of the elderly patients, reduce the difficulty and confusion in operation, and further improve the efficiency of medical services and the satisfaction degree of the patients. In addition, the data synchronization and integration technology of the system ensures real-time updating and accuracy of patient information, and optimizes the working process of medical institutions.

The invention discloses an efficient target extraction and high-precision classification grading system in an industrial intelligent network connection scene, and relates to the field of industrial intelligent network connection. The system comprises a component A, a component B and a component C. The component A performs label distribution based on self-learning semantic perception, the component B performs optimal single-sample progressive distribution and NMS elimination, and the component C performs rotation rectangle regression based on GWD Loss, so that a 'SemSL + GWD + OSG' integrated technology is provided, three core contradictions of rotation frame positioning precision, classification precision and system efficiency are considered, and the positioning accuracy of the rotation frame is improved. The method is particularly suitable for challenge scenes such as multi-direction, dense, small-target and complex background in an industrial intelligent network connection environment, high-precision real-time detection and classification grading can be achieved under the condition of not depending on heavy hardware, meanwhile, the model structure does not need to be changed at all, the method supports embedding into any target detection model in a modular mode, and the detection efficiency is greatly improved. And the method has remarkable engineering feasibility and industrial value.

The application relates to the technical field of data integration, in particular to a message integration method and system, a terminal and a storage medium, which method comprises the following steps: judging whether a message integration instruction is received, if the message integration instruction is received, obtaining integration account information based on the message integration instruction, judging whether an information system corresponding to the integration account information has a to-be-processed message based on the integration account information, if the information system corresponding to the integration account information has the to-be-processed message, obtaining a message feature of the to-be-processed message, judging whether the message feature meets preset feature requirements, and if the message feature meets the preset feature requirements, sending the to-be-processed message to an integration terminal. The application is helpful to save message processing time without missing important messages.

Provided are a method for performing wireless communication and sensing, and an apparatus supporting same. A first device: may transmit a first sensing signal on a first frequency band; may acquire information related to a sensing target on the basis of the first sensing signal; and transmit a second sensing signal on a second frequency band, on the basis of the information related to the sensing target.

The invention discloses an evaluation report analysis system and method, and the system comprises a data collection module which is used for collecting evaluation report data from a plurality of data sources; the data preprocessing module is connected with the data acquisition module and is used for cleaning, converting and integrating the acquired evaluation report data; the quality analysis model module is connected with the data preprocessing module and comprises a natural language processing unit used for analyzing report text semantics and extracting key entities; the machine learning unit is used for executing quality grade classification and quantitative evaluation; the knowledge graph unit is used for constructing an entity relation network and executing inference analysis; and the result display module is connected with the quality analysis model module and is used for visually outputting a quality analysis result. On the basis of a model-based missing value filling method, an advanced abnormal value detection algorithm and an efficient data conversion and integration technology, the quality of data entering an analysis model is ensured, the reliability of an analysis result is improved, and the efficiency of review work is improved.

The invention relates to the technical field of intelligent wearing and health monitoring, in particular to a driving fatigue monitoring system based on a flexible fabric electrode, which comprises fatigue monitoring clothes, a data acquisition box, a trained fatigue monitoring model based on a multi-modal physiological signal and a terminal output platform, the fatigue monitoring garment comprises a garment body, a flexible fabric electrode, a flexible magnetic strip and magnetic attraction type conductive rubber, and the flexible fabric electrode is connected with the data acquisition box through the magnetic attraction type conductive rubber and the flexible magnetic strip in an attraction mode. The driving fatigue monitoring system has the advantage of non-sensitive wearing, a flexible fabric electrode seamless integration technology is adopted, and bio-compatible electrodes are embedded into the inner layer of the clothes through a sewing process; by means of the design, the problem that a traditional hard electrode mechanically compresses the skin is solved; and the flexible fabric electrode is connected with the data acquisition box in an automatic adsorption manner, so that the problem of interference on driving attention caused by manual cable plugging and pulling in a traditional scheme is avoided.

The application relates to a weak current system energy consumption optimization and capacity prediction method, system, device and medium based on digital twinning, and relates to the technical field of weak current equipment integration. The weak current system energy consumption optimization and capacity prediction method comprises the following steps: constructing a static twinning model according to the spatial position layout of a weak current system in a physical world and a weak current equipment connection relationship; converting energy consumption operation data of the weak current equipment, and transmitting and binding the energy consumption operation data to the static twinning model to generate a dynamic twinning model; generating an energy saving strategy suggestion list according to historical energy consumption data combined with preset energy saving rules, and optimizing the dynamic twinning model to obtain a dynamic energy saving twinning model; constructing a virtual operation instance according to basic operation data of a to-be-connected device, and deducing and evaluating a capacity use state combined with the dynamic energy saving twinning model; and generating a resource use evaluation report combined with preset different capacity thresholds; and the whole-process closed-loop intelligent management of the weak current system from digital modeling, energy consumption optimization to capacity prediction is realized.

The application relates to the technical field of identity authentication and mobile terminal integration, and discloses an identity binding authentication method and system based on a 5G personal recorder, which comprises the following steps: when a service order is received, multi-modal biological information is collected, a biological feature dynamic anchor code corresponding to the multi-modal biological information and a locksmith ID are calculated, a device ID and a key pair of the 5G personal recorder are initialized, and an encrypted dynamic two-dimensional code is generated; two-dimensional code information of the encrypted dynamic two-dimensional code is extracted and uploaded to a cloud service platform; a biological feature verification request is sent to the locksmith by using the cloud service platform according to the two-dimensional code information; real-time biological features returned by the biological feature verification request are collected, identity verification is performed on the real-time biological features, and a binding certificate is constructed when the identity verification is passed; and the encrypted dynamic two-dimensional code is associated and bound with the locksmith according to the binding certificate. The application can ensure the authenticity, safety and traceability of services.

The invention provides a chip quantum random number extraction system based on silicon-based integrated photonics. The system adopts a modular design, a rear-end circuit is divided into a core module, a main control module, a data reading module, an auxiliary circuit module and a power supply module, all the modules are optimized cooperatively, and the stability of the system is improved; the system is based on a silicon-based photon integration technology, a quantum entropy source module, a detection module, an acquisition module and a post-processing module are fully integrated in a quantum random number generator chip, high miniaturization is realized, and the size is greatly reduced; in combination with a general SPI communication protocol, the system can adapt to various external devices, is compatible with various operating systems such as Windows and has high compatibility; the system supports the plug-and-play extraction of quantum random numbers, the extracted quantum random number sequence can pass 15 sub-tests in an NIST SP 800-22 statistical test packet and a K-S test of IBM SPSS Statistics, and the method has high randomness and high security, can be widely applied to multiple scenes such as cryptography and information security, and provides an efficient and safe solution for related fields.

The utility model relates to the technical field of ground scraping silica gel, in particular to ground scraping silica gel for a floor mopping robot, and adopts the technical scheme that the ground scraping silica gel comprises a scraping skin and a positioning part, the scraping skin and the positioning part are designed by adopting an integral forming technology, and a positioning groove and an inserting groove are formed in the scraping skin. The positioning groove and the inserting groove are used for mounting the ground scraping silica gel and the sweeping robot; the positioning part comprises a positioning bottom plate and a positioning edge, the positioning edge is arranged on the positioning bottom plate, and the positioning bottom plate is used for connecting the positioning edge with the scraping skin. The utility model has the advantages of stable structure and strong durability, and solves the problems that the structure is easy to break and the stability is poor in the traditional process.

This invention provides an anti-fraud solution for distributing voice content to smart devices, relating to the field of voice content distribution and security anti-fraud technology. It includes S1, device initialization: After the smart device is powered on and connected to the network, it initiates a token acquisition request carrying the device identifier to the hardware server. The hardware server forwards the request to the content platform server. The content platform server generates an encrypted, unique token with an expiration date and binds it to the device identifier. The hardware server caches the token and pushes it to the device. The device caches the token. This significantly reduces the integration technology threshold for smart device manufacturers, eliminating the need for advanced driver layer development capabilities. SDK embedding can be completed with simple configuration. It also avoids resource conflicts between risk control functions and the device's host system, shortening the new device adaptation and integration cycle by more than 80% and significantly improving product launch efficiency.