161 results about "Integrated technology" patented technology

The invention discloses a method and system for dynamically calling a Java statistical analysis interface based on LLM and MCP protocols, belongs to the technical field of data processing and analysis technology, artificial intelligence technology and application program interface (API) integration, and aims to solve the technical problem of how to improve the response speed and flexibility of statistical analysis requirements. In order to reduce the development and maintenance cost of a statistical analysis function, the adopted technical scheme is as follows: a Java annotation mechanism is utilized to mark and describe an existing Java statistical analysis system, a Java method of which the annotation is defined is obtained, and the Java method of which the annotation is defined can be automatically identified by an MCP server and registered as an MCP tool; the MCP server follows an MCP protocol and communicates with the LLM serving as an MCP client, and the LLM dynamically discovers available MCP tools through the MCP protocol; after natural language query of a user is understood through LLM, one or more appropriate MCP tools are intelligently selected, calling parameters are generated, and an MCP server is requested to execute through an MCP protocol.

The invention discloses a multi-platform Internet of Things equipment unified access management method, equipment and a storage medium, and relates to the technical field of Internet of Things integration. The method comprises the step of solving the fragmentation problem of cross-platform equipment access through dynamic configuration adaptation. The method comprises the following steps: starting from receiving a front-end equipment operation request, indexing a pre-configured mapping relation database through an equipment unique identifier, and obtaining a target platform type, an API address and an encryption certificate; dynamically calling a protocol adapter based on a platform type, and injecting an account certificate into a request header or a message body according to a platform specification; converting the original parameters into a format supported by a target platform through a protocol conversion engine, and combining the original parameters with the authentication information to generate a complete request; and realizing high-reliability communication by using an asynchronous message queue, and finally returning a platform response to a front end. According to the invention, through mapping management of the configuration driver and dynamic adapter scheduling, equipment access unification across the Internet of Things platform is realized.

The invention discloses a project cost risk monitoring method and a project cost management platform, and the method comprises the steps: S1, carrying out the real-time collection and standardization processing of multi-source data: collecting dynamic data in real time through an Internet of Things device at a construction site, carrying out the butt joint of a design drawing, a financial system and the like, obtaining static data, and employing a data cleaning, conversion and integration technology; s2, carrying out risk factor identification and correlation analysis based on a knowledge graph; s3, implementing risk quantitative prediction and early warning driven by artificial intelligence; s4, real-time monitoring and automatic verification of contract performance of blockchain enabling are realized; s5, providing dynamic cost adjustment and optimization decision support; through real-time collection and standardization processing of multi-source data, data islands of all parties participating in a project are broken, and accuracy, integrity and timeliness of key data such as construction progress and cost expenditure are ensured. Based on big data analysis and artificial intelligence prediction, more accurate risk assessment and cost prediction are provided for project managers.

The invention provides an atmosphere data assimilation method and device, equipment and a storage medium. Relates to the technical field of computer science and atmospheric science fusion. The method comprises the following steps: adding a cost function, priori estimation and the gradient of the cost function into a gradient-based descent algorithm, adding posteriori estimation, and constructing a four-dimensional variation and ensemble Kalman filtering combined model based on Bayesian priori information; and carrying out data assimilation on atmosphere data based on the four-dimensional variation and ensemble Kalman filtering combined model. According to the method, an artificial intelligence technology is combined, especially deep learning and a Bayesian optimization adaptive algorithm are adopted, a traditional data assimilation algorithm is enhanced and optimized, and the method can be widely applied to prediction of extreme weather events such as high temperature and heat waves. Through assimilation of historical data and real-time observation data, the prediction precision of the future climate change trend is significantly improved, and more powerful support is provided for extreme weather early warning and decision making.

The invention relates to a group type enterprise business opportunity conflict detection and cooperative processing system based on a dynamic rule engine and semantic analysis. The rear end of the system adopts a Python Flask framework to construct micro-service, and the front end adopts a response type design; the rear end further comprises a business opportunity admission management module and a cooperative processing module which are arranged on an application layer; the business opportunity admission management module comprises a standardized business opportunity establishment application form, a business opportunity conflict identification model and a business opportunity closing application form; the business opportunity conflict identification model adopts a dynamic rule engine and a weighted matching strategy to carry out weighted processing on structured fields, unstructured texts and industry-specific word libraries; performing accurate matching on the hard indexes, and calculating the similarity of business opportunity names by adopting cosine similarity on the flexible indexes; the semantic feature extraction layer for storing the industry-specific lexicon uses TF-IDF weighted word vectors to enhance the industry-specific lexicon; the cooperative processing mechanism integrates a WebSocket technology, pushes weighted messages in real time, carries out business opportunity tracking, and pushes the weighted messages to a business opportunity closing application form to carry out business opportunity closing.

The invention relates to a three-dimensional stacking storage and calculation integrated artificial intelligence acceleration system and inference method, and the system comprises a three-dimensional stacking storage module which comprises a plurality of vertically stacked DRAM layers which carry out the communication through a high-density vertical interconnection structure; the calculation unit array is in direct communication coupling with at least one layer of the three-dimensional stacked storage module through a three-dimensional integration technology and is configured to execute at least partial reasoning calculation of a large language model or a multi-mode large language model; and the pre-stored key value cache management module is configured to pre-store key value caches generated by pre-filling and calculating predefined system cue words in one or more specified physical areas of the three-dimensional stack storage module, and the pre-stored key value caches are stored in one or more specified physical areas of the three-dimensional stack storage module. The computing unit array is further configured to access a pre-stored key value cache and combine it with data generated from dynamic user input when the inference computations are performed, thereby avoiding repeated pre-fill computations on system cues.

The invention discloses a stepped three-band grating coupler and a reverse optimization method thereof, and belongs to the technical field of photonic devices and integration, and the reverse optimization method comprises the steps: determining a design target of the grating coupler, and defining an initial structure; defining optimization parameters including grating height and grating width according to the grating number; defining an optimization quality factor according to a design target of the grating coupler, and dynamically updating a weight coefficient of the quality factor; optimizing the width and height distribution of all gratings by using an improved direct binary search algorithm; and iterative optimization is continuously carried out until a design target is achieved, and width distribution corresponding to gratings with different heights in the optimized stepped grating structure is obtained. The problem that traditional grating diffraction has inherent wavelength dependence is effectively solved, and efficient coupling of three optical communication wavebands is achieved.

The invention provides an urban rail transit communication informatization monitoring device which comprises a rail health monitoring module which combines acoustic CT scanning and electromagnetic eddy current detection to generate a steel rail three-dimensional defect image and obtain rail defect data. The electromagnetic environment sensing and monitoring module extracts quantum noise features, establishes an electromagnetic field-signal system coupling model, and predicts interference of quantum noise on the CBTC system. And the communication signal quality monitoring module monitors signal strength abnormity by using a wireless spectrum analysis algorithm. And the data processing center fuses and analyzes various data and generates a monitoring report. And the visualization module displays the report. The integration technology improves the accuracy and reliability of track defect detection, and enhances the support of track maintenance data. The electromagnetic environment sensing and monitoring module improves the anti-interference capability of the communication system. The communication signal quality monitoring improves the monitoring precision and signal integrity verification, and reduces the false alarm rate.

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 provides a method and system for integrating multiple pieces of Internet of Things equipment, and relates to the technical field of Internet of Things equipment integration, the workload of manual configuration is reduced by automatically extracting the comprehensive behavior characteristics of the equipment and quantifying the behavior scores of the equipment, the equipment integration efficiency is remarkably improved, and the equipment integration efficiency is improved based on the behavior scores and grouping rules. The equipment can be quickly divided into different groups, the equipment management process is optimized, behavior fluctuation factors and collaborative weight calculation are introduced, behavior changes and interaction relations of the equipment can be dynamically reflected, an integration strategy is more flexible and high in adaptability, and the equipment management efficiency is improved based on average behavior feature vectors and collaborative weights of the equipment groups. According to the technical scheme, the resource distribution between the devices can be optimized, the device cooperation effect is further improved by generating the second cooperation weight and comprehensively considering the response time and historical performance of the devices, and the integration problem of large-scale heterogeneous Internet of Things devices can be solved through the pre-trained cooperation strategy generation model.

The invention relates to a landslide susceptibility evaluation technology, in particular to a landslide susceptibility dynamic evaluation method based on a Stacking integration technology, and the method comprises the following steps: S1, primarily selecting landslide evaluation factors, and constructing a landslide susceptibility evaluation factor database; s2, constructing a regional landslide susceptibility evaluation data set, constructing a landslide susceptibility evaluation model, and evaluating and verifying a model susceptibility evaluation result; s3, carrying out landslide susceptibility dynamic evaluation by adopting an evaluation factor combination into which a dynamic factor is introduced; s4, carrying out landslide susceptibility dynamic evaluation based on a Stacking integration technology, establishing a Stacking integration machine learning model, carrying out landslide susceptibility dynamic evaluation by adopting an evaluation factor combination introduced with dynamic factors, and carrying out evaluation verification on evaluation results of the single machine learning model and the Stacking integration machine learning model; the method shows a higher prediction effect in landslide susceptibility assessment, and plays a key role in improving the accuracy and rationality of factor selection in a landslide risk assessment process.

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.

This disclosure is directed to improve chair assemblies that can be integrated with various technologies, including heating, massaging technologies, cooling, and other technologies. Various portions of the chair assemblies include attachment structures that permit the electronic assemblies to be attached and removed from the chair assemblies. The electronic assemblies can include electronics that facilitate heat therapy, massage therapy, and / or cooling therapy functions.

The invention discloses a tool for manually positioning and overturning a chip, the tool for manually positioning and overturning the chip can simply and efficiently overturn the chip into a tray, the chip cannot be damaged, the tool is extremely convenient, and practice proves that the tool can be used for manually positioning and overturning the chip. The tool provided by the invention is especially suitable for the overturning process of chips with special sizes and shapes, thereby having a great promotion effect on the research, development and production of a chip vertical integration technology.

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 discloses an intelligent production scheduling method based on a block chain technology and electronic equipment, and relates to the technical field of industrial intelligent production scheduling. According to the intelligent production scheduling method based on the block chain technology and the electronic equipment, the intelligent production scheduling model is established according to the actual production equipment efficiency and the block chain technology, and the production order data in the period is analyzed by using the data analysis algorithm; according to consumed time and various data in a material tracing real-time process, sorting operation of production orders is realized, a planned production plan is formed, the Internet of Things and a collaborative algorithm are fused, the production process is monitored in real time, problems generated by the orders are effectively predicted in advance, and a multi-target optimization modeling and visualization technology is adopted to realize real-time production planning. Full-chain collaboration and integration technology restrictions of resource management, data analysis and business parallel driving are broken, a production scheduling plan is quickly formed, and intelligent manufacturing is promoted.

The application discloses a kind of semi-supervised iterative training methods for complex scene remote sensing image interpretation, including the following steps: preliminary annotation is accumulated by semi-automatic acquisition or artificial labeling mode in early model training, training sample set is constructed to obtain annotation model by training, and interpretation model library is expanded;Cross pseudo-label constraint self-training is used to construct annotation model, and unlabeled data is gradually introduced to obtain more representative scene sample annotation, realize sample expansion and refinement.The application uses multi-modal network, based on the iterative training technology of semi-supervised learning such as self-training and cross pseudo-label, obtains the model set under large-area complex scene, based on scene rule set and model search, constructs model matching and integration technology, realizes large-area remote sensing image classification interpretation under complex scene;Through the connection of multi-modal data, sample library and model library, the continuous iteration of model and sample optimization is realized.

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.

The present invention discloses a global reconfigurable analog-to-digital conversion method and circuit for storage and computing, which belongs to the field of integrated circuit technology. In order to solve the problem of the existing reconfigurable analog-to-digital converter being too large in area and to realize the reconfigurable function while reducing the area overhead, the reconfigurable analog-to-digital converter for storage and computing of the present invention includes: a reconfigurable global reference voltage generation circuit and a local analog-to-digital conversion circuit; in view of the array application characteristics of ADC in the storage and computing array, the reference voltage generation circuit for realizing the reconfigurable function is designed to be globally multiplexed. The analog-to-digital conversion is realized by a switched capacitor circuit, which avoids the area consumption caused by a large number of capacitors and improves the computing density of the storage and computing integrated chip. At the same time, combined with the successive approximation conversion strategy, a higher conversion speed is achieved to meet the demand for higher computing power of the storage and computing integrated technology.

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 present invention discloses a common-mode noise suppression filter based on three-dimensional integration technology, which includes seven top RDL spiral inductors, and four TSV capacitors are connected below the seven top RDL spiral inductors. The present invention can achieve the basic performance of common-mode noise while having a compact overall structure and high integration.

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 present invention provides a fracturing and sand control integrated technology string capable of preventing erosion and conducting deep well flushing, and an operation method thereof. The well control part includes a safety valve with a valve flap, an upper hydraulic anchor, and an annulus packer. The erosion prevention part includes an upper sealing cylinder, a hollow insertion pipe, and a lower sealing cylinder. The deep well flushing part includes a deep well flushing valve, a flushing differential pressure rupture disc, a flushing water outlet, and an in-tubing insertion seal. The layered fracturing part includes a Y344 packer, a ball injection sandblasting sleeve, a normally open sandblasting sleeve, a lower hydraulic anchor, and a check valve seat. By using the present invention, fracturing and self-jet production can be achieved with one trip of the string, which can significantly reduce the construction cost. The present invention prevents blowout accidents caused by erosion damage of the safety valve flap during fracturing through the use of a special safety valve protection mechanism. The present invention uses a deep well flushing device to conduct flushing of the entire string, minimizing the risk of sand jamming of the string to the greatest extent.

The present disclosure relates to the technical field of composite coating preparation, in particular to a method for plasma-assisted and multi-step continuous preparation of a diffusion layer / amorphous carbon film composite coating and use thereof. In the present disclosure, a high-temperature plasma carburizing / nitriding technology and a low-temperature plasma carbon coating technology are combined by a plasma activation technology with argon ion under gradient cooling, and the surface of a material is activated by multiple bombardment on the surface of the material with high-energy argon ions. In this way, a cluster-like porous and loose structure on a surface of the diffusion layer is removed. In summary, the multi-step continuous preparation of the diffusion layer / amorphous carbon film composite coating is formed based on an integrated technology of the high-temperature plasma diffusion with nitrogen / carbon ion and plasma activation with argon ion under gradient cooling and plasma coating with low-temperature carbon ion.

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.