82 results about "It design" patented technology

The invention relates to a knowledge graph and RAG-based science and technology service field knowledge base construction method and system. A science and technology knowledge graph and a personal knowledge graph are constructed through data collection and preprocessing, cleaning, labeling and standardization of multi-source science and technology data (such as patents, papers and technical documents), and the science and technology knowledge graph adopts an entity-relation-entity-attribute tetrad structure and supports efficient knowledge management and retrieval. An RAG model is designed and trained, a retrieval module and a generation module are combined, related knowledge is retrieved from the knowledge graph, a natural language reply is generated, a dynamically updated knowledge base is constructed, new data are accessed in real time, retrieval and generation efficiency is optimized, scientific and technological achievements can be retrieved according to user query and in combination with the personal knowledge graph, and a multi-modal reply is generated; and meanwhile, the timeliness and accuracy of knowledge are ensured by iteratively optimizing the model and the knowledge base through user feedback. The intelligent level and the user experience of science and technology services are remarkably improved.

The invention discloses an intelligent optimization method based on lightweight language training data, which comprises the following steps of: constructing a self-attention mechanism by using a Transform architecture, giving an embedding matrix of an input sequence, n being the sequence length, d being the embedding dimension, representing Query, Key and Value matrixes, and controlling the product magnitude by using a scaling factor; a low-rank adapter is added beside an original weight matrix, a parameter update quantity is decomposed into a product of two small matrixes, and the original weight matrix is a sum of two low-rank matrixes introduced by LoRA. According to the method, an end-to-end personalized dialogue memory system is constructed based on a MiniMind framework, dynamic internalization and accurate recall of user habit information are realized on the premise that a local vector knowledge base does not need to be constructed through organic integration of a supervision fine tuning strategy and a LoRA technology, a dialogue memory coding mechanism is designed, and the memory efficiency is improved. User interaction data is directly mapped into an implicit memory unit of a model parameter space, a lightweight memory trigger-retrieval protocol is developed, key features are extracted through dialogue context, and long-term memory response is activated.

The invention discloses a Verilog vulnerability detection method generated based on a graph traversal rule, and the method comprises the steps: firstly receiving a Verilog source code as a target detection code, generating and fusing three code structures, and forming an attribute graph VeriPG; secondly, acquiring natural language description information of a target vulnerability, and extracting a potential vulnerability judgment condition by utilizing a judgment condition LLMs; and then generating a vulnerability detection rule of the target vulnerability based on the VeriPG and a vulnerability judgment condition drive detection rule LLMs, and verifying the generated vulnerability detection rule. And finally, designing and deploying a rule executor, and executing graph traversal on the verified vulnerability detection rule to complete Verilog vulnerability detection. According to the method, the relationship between the control logic and the data can be comprehensively described, and the Verilog security vulnerability detection method with high accuracy, high automation and high adaptability is constructed.

The invention discloses a Web rendering implementation method suitable for a 3DGS large-scale scene of consumption-level equipment, and the method comprises the steps: determining a detail level based on space segmentation and multiple factors through LOD optimization, and building a rapid switching mechanism; compressing geometric, texture and LOD model data, and respectively adopting specific algorithms and formats; a parallel decoding algorithm is designed at an equipment end to realize efficient decoding; a dynamic LOD calculation model based on deep learning is introduced and optimized; combining double-buffer coordinated rendering with edge calculation; adaptively adjusting ray tracing according to the scene and the equipment performance; and establishing an LRU cache management mechanism. According to the method, the hardware dependence is reduced, the data volume is reduced, the dynamic LOD calculation efficiency and rendering performance are improved, the rendering problem of consumption-level equipment is effectively solved, and wide application of the 3DGS technology to the consumption-level equipment is promoted.

The invention discloses a non-intrusive load monitoring method and a non-intrusive load monitoring system based on a Mamba-graph convolutional network. The method comprises the following steps: firstly, collecting the total power utilization load of a user and the load data of each device, and preprocessing and enhancing the collected data; secondly, constructing a user-device hierarchical dynamic graph structure data set; secondly, designing a model combining a graph convolutional network and a Mama network, connecting by using a residual module, and capturing a complex space-time dependency relationship of the power load data; dividing the dynamic graph structure data set into a training set, a verification set and a test set, and introducing a self-supervision task; after the model is trained, various evaluation indexes are adopted, the model is optimized on the verification set, the performance of the model is tested on the test set, and the performance of the model in different power consumption scenes is analyzed. And finally deploying the model to an actual application scene. According to the invention, the non-intrusive load monitoring analysis capability of the user equipment is improved, and accurate energy consumption analysis and optimization suggestions are provided for users.

The invention relates to the technical field of building information models and intelligent design, and provides a bridge steel structure collaborative design method and system based on the BIM technology, and the method comprises the steps: obtaining a plurality of bridge steel structure BIM models from a BIM database, and design parameter vectors, structure topological graphs and collaborative design data vectors thereof; constructing a structural feature extraction model by training a BIM structure encoder model, calculating the similarity between the models, and retrieving a similar model; establishing a BIM data fusion model, and training by combining the design parameter vector of the target model and the collaborative design data vector of the similar model to obtain a collaborative design prediction model; and searching a similar model for a to-be-collaborative design model, and generating collaborative design data through a prediction model based on design parameters of the to-be-collaborative design model and collaborative data of the similar model. According to the method, intelligent collaborative optimization of bridge steel structure design can be realized, the design efficiency and accuracy are improved, and manual intervention and repeated work are reduced.

This invention discloses an improved DBSCAN algorithm and a many-to-many matching algorithm for 6G vehicle-to-everything (V2X) networks, belonging to the field of V2X technology. It designs an improved density-based spatial application noise clustering algorithm to cluster more dispersed vehicles, employs a many-to-many matching algorithm to pair vehicles with auxiliary MEC servers, and designs a multi-agent-based task offloading mechanism to reduce latency and improve resource utilization efficiency. The improved DBSCAN algorithm proposed in this invention overcomes the sensitivity of parameter selection, does not require particularly precise parameter settings, performs well on datasets with uneven density, overcomes the influence of vehicle density on clustering results, and the proposed many-to-many matching mechanism improves the utilization of remaining vehicle computing resources and greatly alleviates the pressure on edge servers, while ensuring that high-priority tasks are computed first.

This invention discloses a distributed adaptive fault-tolerant control method and system for nonlinear inline systems, relating to the field of distributed control technology for nonlinear inline systems. The method includes: for each subsystem in the nonlinear inline system, constructing the actual output of each actuator in the subsystem based on the fault type of the actuator; the nonlinear inline system includes several subsystems; for each subsystem, constructing a local objective function, an error optimizer, an auxiliary system, high-gain parameters, and a control law, and generating an optimal error trajectory based on the local objective function and the error optimizer. At the upper level, this invention designs an error optimizer to generate the optimal error trajectory based on a local objective function that converges to zero; at the lower level, it designs a trajectory tracking fault-tolerant controller with the help of an auxiliary system, employing a dynamic high-gain approach to adaptively handle the effects of uncertain parameters, actuator faults, and unknown strong inline coupling.

In order to solve the problem that under the condition that a PMON program is not changed, the PMON program cannot provide inter-core memory isolation through two addresses of 0 * 8000000000000000 and 0 * 9000000000000000 configured by a direct mapping configuration window, the AMP architecture multi-core real-time operating system deployment method capable of meeting the inter-core memory isolation is designed on a Loongson platform. According to the multi-core deployment method for the AMP architecture operating system based on the Loongson platform disclosed by the invention, by designing a secondary bootstrap program, the mode that a PMON program directly loads an operating system mirror image is changed into the mode that the secondary bootstrap program is firstly loaded, and the operating system is started by the secondary bootstrap program. The secondary bootstrap program configures the MMU through a page table mapping address translation mode, so that operating systems between different cores can run in different address spaces, and an isolated running environment is provided. Once a certain operating system accesses the address space of other core operating systems, the system will report TLB refilling exceptions to prevent other core memories from being damaged, and therefore the inter-core memory isolation is achieved.

The invention relates to the technical field of financial examination and approval, in particular to a financial examination and approval process optimization method. The method has the advantage that the service functions are comprehensive. The system totally comprises 13 large function modules and 35 small function modules, various business activities related to financial management are comprehensively covered from income, budget and reimbursement to travel, vehicle and project management, and complete informatization support is provided. Each functional module meets the requirements of different users and is seamlessly integrated with other modules, so that the high collaboration of the whole financial management process is ensured, and cost control rules are fused. Various cost control rules including budget limitation, approval processes, cost policies and the like are fully considered in the design of the system. The system can automatically detect and execute the rules and perform early warning on abnormal conditions, the efficiency and accuracy of cost control are improved, the system supports custom approval processes, and financial personnel are allowed to configure approval personnel and approval steps according to actual needs.

This invention relates to the field of new energy technology and discloses a short-term wind speed prediction method based on LSTM neural networks. The method first collects multi-dimensional historical wind speed data from wind farms and performs standardized preprocessing to construct a high-quality training set. Then, it designs and trains an LSTM neural network model that can effectively capture temporal dependencies. Finally, it obtains a high-precision prediction model through validation and optimization. In application, the preprocessed real-time data is input into the model to achieve quantitative prediction of wind speed for the next few hours. This method establishes an online performance evaluation and automatic update triggering mechanism based on the inherent volatility of the data, forming a complete prediction-evaluation-optimization closed loop. This allows the model to self-perceive performance degradation and autonomously trigger retraining, thereby overcoming the problem of performance degradation of traditional static models due to environmental changes after long-term deployment. Ultimately, this ensures the accuracy, adaptability, and industrial application value of the prediction model in long-term operation.

The application discloses a kind of blockchain smart contract architecture and its design method, belong to blockchain field, including: the interaction of using generic interface implementation and access layer, consensus algorithm layer and account data, smart contract module is generated independent software function module by integrating standard library, trusted check information packing, the call and callback function of mode are passed through function pointer, the call and interaction of smart contract framework and smart contract dynamic library are realized, the interaction of smart contract library and TA is realized by implementing the core logic of smart contract in the form of TA in trusted execution environment, and using the GP specification of Trustzone;Transaction information handled and generated by smart contract is temporarily stored to the transaction cache area, read by consensus algorithm, consensus and finally form new block and fall disk.The application guarantees the execution safety of the core logic of smart contract, optimizes blockchain software architecture, realizes the trusted check and efficient operation of contract, improves programming efficiency.

The present invention discloses an ultra-low complexity max pooling backpropagation architecture for CNN. The main objective of the present invention is to solve the problem that in the max pooling backpropagation of convolutional neural networks, when using the traditional recovery matrix algorithm, most of the values in the recovery matrix are zero, and directly storing the recovery matrix C will cause a large waste of storage resources. According to the sparse data characteristics in the input matrix, the present invention is implemented using an improved algorithm. It designs a Matrix mapping logical operation to directly obtain the mapping address of the input matrix in the convolutional kernel window and determines whether it is located in the current window, without restoring it to the original matrix. It optimizes the data storage scheme, selects non-zero values for convolution hardware implementation, thereby improving the hardware implementation frequency in the max pooling backpropagation, reducing the consumption of storage resources, lowering the hardware implementation complexity, and reducing the consumption of computing resources by selecting non-zero values to complete the convolution operation.

The present application relates to a kind of cabinet and line frame modeling method and device.The method part mainly includes: establishing the three-dimensional model and engineering drawing of general line frame parts, and determining relevant size parameters;Optimization design step: according to the structure and push-pull stroke of unit, determine the installation position of line frame, and according to the push-pull stroke and installation position parameters, the relevant size of line frame is optimized and designed;Automatic update step: the size parameter after optimization is transferred to three-dimensional model and engineering drawing to automatically update;Parameter saving step: the figure number, name, size parameter of line frame parts are saved in database.The present application can improve the design efficiency and product reusability of cabinet and line frame, and the size of line frame is optimized and designed, so that its design is more reasonable.

THE WAY IN WHICH THE ESSENTIAL ASPECT OF THE STRATEGE "FROM NOTHING - SOMETHING" IS IMPLEMENTED IN INFORMATION TECHNOLOGIES. The initial essence "Nothing" (0, Zero) of the method is the abstract essence. The mathematical model of the Projected Object Entity (PEO) is embodied in material, software, and mixed entity objects from various disciplines—the "something" of the method. The methodology of comparative cause-and-effect analysis is applied in the creation of the PEO, and the methodology of essential synthesis is used in its design: subject-specific and essential interdisciplinary properties of similarity, universal mathematical models in the form of orgraphs and their matrices, graphs with algorithms of nodes and their matrices, as well as essential identities, equations, and differential equations that reflect the balance of actions and counteractions.And since the professional and interdisciplinary properties of similarity for individual objects of different disciplines continue to apply, the transfer of the parental properties, qualities and the collective image of "nothing" and its "something" takes place "according to the image and likeness" of the essence.

The invention discloses a software engineering implementation method, and the method comprises the steps: business modeling: anchoring a demand source, and converting a business demand into a landing model; the software requirement specification specification is used for solidifying a requirement standard and forming a specification document based on the business modeling result; summary design: constructing a technical framework, joining demands and development, and macroscopically planning a system architecture; the framework is converted into an executable scheme, and coverage integration, implementation and development are achieved. According to the software engineering implementation process, a standardized'business modeling driving type 'specification is taken as a core, a five-level process model and a data model are used for constructing a business architecture core framework, full-link connection of'business demand-data logic-IT design-landing implementation' is broken through by means of a structured view, and complex processes / functions are deconstructed and split into micro-service interface-level granularity, micro-service interface-level granularity, micro-service interface-level granularity and micro-service interface-level granularity. Accurate correspondence and decoupling of the service component and the IT component are achieved, and finally efficient landing of the service architecture in the IT architecture is guaranteed.

The invention discloses a factual preference alignment method and system based on collaborative feedback of a graph and a large model, and belongs to the technical field of natural language processing and large model application. The method comprises the following steps: firstly, constructing a double-source heterogeneous knowledge system comprising a knowledge graph and large-model parameterized knowledge; secondly, designing a knowledge extraction and joint hierarchical verification framework according to different knowledge forms of atlas and parameterization; then factual score marking is carried out on result output of to-be-optimized large model sampling according to the domain knowledge base; and finally, performing dual-channel alignment fine tuning on the large language model through a direct alignment algorithm based on score guidance and a reinforcement learning alignment algorithm based on score feedback. According to the method, the priority of knowledge of the large model can be sorted and aligned, the factuality of the knowledge can be improved, the knowledge question and answer ability of the large model in the specific field is further improved, and reliable support is provided for application of the large model under the high factuality standard of the vertical field.

This invention discloses a training method and apparatus for a BERT dispatch model based on multi-factor decision-making. The method includes: acquiring raw work order data and preprocessing it; filtering work orders with logical changes to obtain a training dataset; performing initial model training based on the training dataset to obtain an initial dispatch model; constructing a test dataset and performing multi-factor decision-making error analysis; data augmentation; secondary model training to generate an optimized model; iterative optimization and model deployment. This invention improves the dispatch model's ability to learn multi-factor correlation features and adapt to logical change scenarios by standardizing multi-dimensional decision factors, supplementing outdated standard data for cleaning, refining fusion training, conducting specialized error analysis, and expanding data with controllable quality. Simultaneously, it designs an optimized work order filtering mechanism for logical changes, ensuring the model quickly reaches the preset dispatch accuracy standard.

This invention proposes an automated construction organization design platform and its design method for water conservancy and hydropower projects. The platform includes a structured experience database system, a dynamic optimization calculation system for earthwork balance, an intelligent construction schedule generation system, an automated construction resource design system, and a 3D visualization and decision support system for the overall construction layout. The platform system uses the correlation data between building quantities and schedule time as a link to achieve data exchange and collaborative linkage. The design method includes: constructing and initializing the structured experience database system; automatically generating a construction schedule plan; outputting an earthwork balance scheme; automatically calculating and configuring labor force, work area, and facilities of each construction plant; generating a construction layout scheme and outputting it in 3D visualization. This invention realizes intelligent processing of the entire process of construction organization design calculation, resource supply planning, and site layout, significantly improving design efficiency and scheme accuracy, while also possessing good operability and system integration.

This invention aligns with the development trend of multi-scenario and multi-mode civilian radar. Addressing the core needs of multi-task adaptation, electromagnetic interference suppression, and flexible performance upgrades, it designs an intelligent radar signal processing architecture that meets the three standards of "functional scalability, performance upgradeability, modularity, and standardization," with deep decoupling of hardware and software and support for online software upgrades. This architecture adapts to the radar sensing and detection needs in complex electromagnetic environments. The architecture consists of three layers: hardware, system software, and intelligent applications. The hardware layer adopts a 3U VPX cableless platform, achieving flexible interconnection and expansion of multiple modules through star-flash technology. The system software layer extracts the common functionalities of radar imaging, altimetry, monopulse detection, and electronic reconnaissance, breaking them down into 4 categories and 8 standard modules, supporting dynamic module reconfiguration based on a linked list structure. The intelligent application layer includes 8 types of software applications (APPs). The intelligent decision-making APP generates radar operating modes, parameters, and timing strategies, driving other APPs to complete parameter configuration and achieving adaptive adaptation to multiple civilian scenarios.

The invention discloses a distributed data link ad hoc network routing construction method based on DRL and cross-layer optimization, and the method comprises the steps: abstracting a to-be-established end-to-end data stream into a partially observable Markov hop-by-hop decision process when a data stream communication request from a source node to a destination node is received; wherein in each hop, the current node only carries out joint decision-making of routing and transmitting power based on local observation information. In the decision of each hop, irregular topology and interference relation between adjacent nodes are flexibly described by using a graph; designing a GNN-based model architecture as a strategy of an agent node, and processing input / output fluctuation dimensions by using a graph relationship; in the optimization process, the information exchange between the nodes strictly follows the actual limitation of the sensing ability, and accords with the distributed configuration of the data link self-organizing network; the learned strategy can quickly establish a high-quality routing path between a source node and a target node, and shows strong generalization ability for random network topology.

This invention discloses a smart contract processing system and method based on the entire business process, belonging to the field of smart contract processing technology. It aims to solve technical problems in the existing service industry, such as opaque product rights transfer, low commission settlement efficiency, and profit-sharing disputes arising from refunds, changes, and modifications. The method uses a blockchain consortium blockchain as its underlying support, combining encryption algorithms and a smart contract engine. Through the status linkage of transaction vouchers, rights exchange vouchers, and commission vouchers, it achieves on-chain control of the entire business process from product booking, rights transfer, user change operations to commission settlement. Simultaneously, it designs a dynamic commission adjustment algorithm based on user behavior changes to ensure accurate and fair commission calculation. This invention achieves trusted collaboration of "core product + X + rights + commission," applicable to multiple service scenarios such as aviation, hotels, scenic spots, travel, retail, and lifestyle services, significantly improving user rights protection, channel commission settlement efficiency, and operational entity management efficiency.

This application proposes a method, device and application for easily checking the validity of data application indicators. It designs an indicator configuration table for the indicators to be audited, connects to the database through a python script and assigns the fields in the indicator configuration table to the python script, uses python to calculate the result value of each indicator to be audited and generates a result table, and checks the quality of the indicators to be audited based on the difference types in the result table, thereby achieving the effect of easily checking the quality of the indicators to be audited. At the same time, data inspection can be carried out during the data operation process, thereby improving the effectiveness of data quality inspection.

Suppressing rework of design caused by adjustment between a design process that creates design information and other design processes that create other design information. Input design information created by a design process included in a plurality of design processes responsible for designing a manufacturing system. Store a plurality of design information created by the plurality of design processes and dependencies (122) between the plurality of design information. Extract design information that is a change target to be changed according to the design information from the plurality of design information. Combine the design information with the plurality of design information. Analyze the impact of the design information on the design information other than the design information that is a change target included in the plurality of design information based on the dependency (122), and determine whether a change in the design information is required. When it is determined that a change in the design information is required, the design process is notified of a request to change the design information.

Disclosed here are systems and methods that allow users, upon detecting errors within a running workflow, to either 1) pause the workflow and directly correct its design before resuming the workflow, or 2) pause the workflow, correct the erred action within the workflow, resume running the workflow, and afterwards apply the corrections to the design of the workflow. The disclosure comprises functionality that pauses a single workflow and other relevant workflows as soon as the error is detected and while it is corrected. The disclosed systems and methods improve communication technology between the networks and servers of separate parties relevant and / or dependent on successful execution of other workflows.

This invention presents a threshold-free, privacy-preserving federated learning poisoning attack defense method, addressing the technical problems of intermediate information leakage, difficulty in distinguishing between benign and malicious updates, and difficulty in adapting to high-attack-ratio scenarios. The implementation includes: initialization; training and uploading parameters; secure K-means clustering on the server and threshold-free filtering based on benchmark gradients; server aggregation and dynamic benchmark updates; and updating the number of clusters. This invention uses a multi-party secure computation extension protocol to protect client gradient privacy in cluster-based federated learning poisoning attack defense. It designs a robust defense strategy of multi-cluster partitioning and combination filtering, performs secure K-means clustering, and securely compares different cluster combinations with server benchmark gradients. It does not require a preset malicious user ratio threshold and adaptively filters out benign update sets, achieving a balance between security, robustness, and scalability. It is applicable to federated learning systems involving a large number of heterogeneous entities, such as smart cities and connected vehicles.

The present invention proposes a network cloud service template design method based on an object model and an API model, which belongs to the field of collaborative design and orchestration of network cloud resource models. The present invention first defines a resource model, maintains resource instance data, and forms a network cloud resource library. Secondly, it designs an object model, and then designs an atomic capability API model. Then, it designs a business process template and constructs a business process template. The present invention solves the problems of complex and time-consuming orchestration and activation of network cloud services on heterogeneous networks and heterogeneous clouds. Through a model-driven and process-driven network cloud service design and orchestration mechanism, it greatly shortens the time it takes to go online for network cloud services and improves the success rate of network cloud service orchestration and activation. The present invention has the characteristics of universality, flexibility, and efficiency, and can be used for the integrated design of network cloud service resource models.

This invention provides a predictive maintenance and energy-saving linkage method, device, electronic device, and computer-readable storage medium for industrial air conditioners, applied in the field of data processing technology. This application collects core operating and environmental parameters such as compressor start-stop frequency; then, using the Internet of Things and edge computing, it monitors the status of key components, constructs a model linking equipment degradation and the environment, and generates preliminary maintenance requirements and energy consumption warnings; next, it designs a tiered maintenance strategy using digital twins and cost models, outputting target maintenance instructions and energy-saving reports; subsequently, it combines thermal comfort and peak / valley electricity prices to dynamically adjust parameters and generate a linkage control scheme; further, it expands to a multi-device global collaborative strategy; finally, it performs multi-dimensional evaluation to generate equipment reliability levels and energy-saving benefit values, forming a closed-loop technical system to ensure equipment safety and energy conservation.

This invention belongs to the field of cyberspace mapping, specifically involving a cluster-based method for network entity fingerprinting and network vulnerability situational awareness. First, it proposes a novel clustering-based network application fingerprinting method, constructing a database of known network node application type points. Through clustering algorithms, it efficiently classifies and labels collected network assets. Based on this, it automatically updates clustering features to discover new network entities and applications. Finally, it proposes a knowledge graph-based network vulnerability verification method, constructing a network entity information database, a vulnerability information database, and vulnerability verification knowledge atomic units. It designs and implements a vulnerability verification path generation algorithm to perform vulnerability verification on collected network assets, achieving automated vulnerability verification based on the knowledge graph. Ultimately, this results in a high-concurrency, multi-protocol, fast, and easily maintainable cyberspace asset detection system.

This invention discloses a data storage management method for aircraft testing, belonging to the technical field of aircraft testing and data storage management. The method includes database configuration management, database table creation management, database query management, and database monitoring management. Database configuration management includes login configuration and backup configuration; database table creation management includes data frame format initialization, modification, querying, display, exporting, table creation, and table deletion; database query management includes querying, processing, displaying, and exporting; database monitoring information includes the rate of row entry, total number of rows entered, and total space occupied. This invention designs a database table creation method and data storage rules, improving the efficiency of database table creation, reducing the number of tables created, and reducing the workload of maintenance personnel. Simultaneously, it designs data query and data monitoring methods, which are beneficial for multi-dimensional data analysis and use, and allow maintenance personnel to monitor data aggregation in real time.