116 results about "Integrated technology" patented technology

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 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 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.

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 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 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.

This invention provides a time-phase-based quantum lidar, which utilizes CMOS-compatible silicon-based optoelectronic integration technology to fabricate the transmitting and receiving chips. The advantages of chip-based integration include small size, light weight, and low power consumption, making it more practical for applications. The core chip for both quantum lidar and quantum secure communication systems, fabricated using integration technology, offers advantages such as small size, high precision, high speed, and low power consumption. This chip can be used for both quantum lidar and quantum secure communication.

The invention provides a core particle self-checking method and system based on a core particle integration technology, and the method comprises the steps: obtaining the current operation information of a chip, a core particle self-checking task and the core particle information of each core particle, and recognizing the core particle function information of each core particle based on the core particle information of each core particle; on the basis of the core particle self-inspection task, core particle self-inspection demand information of each core particle is identified, and a core particle self-inspection sequence and a core particle self-inspection time point of each core particle are generated on the basis of the current operation information and the core particle function information of each core particle; and generating a core particle auxiliary self-checking process and an auxiliary core particle corresponding to each core particle based on the core particle self-checking demand information and the core particle function information of each core particle, and generating a current multi-core particle self-checking scheme of the chip based on the core particle self-checking sequence, the core particle self-checking time point, the core particle auxiliary self-checking process and the auxiliary core particle of each core particle. By adopting the scheme, the self-checking effect on each core particle can be improved.

The invention discloses a maturity evaluation system and method for digital transformation of the building industry in the technical field of digital transformation, and the method comprises the steps: obtaining evaluation data covering the full life cycle of digital transformation of a building enterprise through a multi-source heterogeneous data integration technology; calculating the evaluation data through a dynamic quantization formula to obtain an index evaluation result for evaluating the digital transformation maturity of the construction industry; and based on the index evaluation result, combining industry reference data and an enterprise strategic target, and through a priority determination algorithm, path staged logic and a dynamic deduction engine, generating a digital transformation optimization path. According to the method, the digital transformation evaluation of the building industry is realized from a static state to a dynamic system, from subjective experience to objective quantification and from result description to strategy generation, and a complex cooperative relationship is simulated through nonlinear correction, so that the method is closer to an actual business scene.

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.