15results about How to "Break down barriers" patented technology

The application discloses a kind of based on data-physical model double coupling's embankment engineering monitoring detection fusion early warning method and system, method includes obtaining embankment engineering multi-source data, forms multi-source data set;Using Abaqus to build embankment simulation model, carry out seepage field analysis and slope stability analysis, obtain the position of wetting front and slope stability safety factor;Build data evaluation model with cloud model as core, combined with analytic hierarchy process, quantitatively depict data uncertainty and output embankment comprehensive safety level and score;The embankment simulation model and data evaluation model are bidirectionally coupled verification and parameter inversion, optimize simulation model parameters and fuse double model evaluation results, obtain high-precision comprehensive safety evaluation;Build long time series prediction model, input historical time series data, predict and carry out graded early warning.The application realizes the multidimensional comprehensive judgment to embankment safety state by fusing including real-time monitoring data such as seepage pressure, displacement, water level and detection report data such as transient electromagnetic method report.

The invention provides a four-level precise breed conservation method and platform for local livestock and poultry, and the method comprises the following steps: collecting newly born or newly introduced samples in a breed conservation population of a target local livestock and poultry variety in each generation, constructing a whole genome genotype database, and constructing a whole genome genotype database of the samples on the premise of maintaining the genetic diversity of the population; genomic breeding values on the concerned phenotypic characters are sequenced, a predetermined proportion of individuals ranked at the last are eliminated or are not reserved for seed use any more, and a four-level seed conservation system and an integrated management platform for dynamically monitoring all data in real time are established. According to the method and the platform, a four-stage breed conservation system and an integrated management platform are constructed, so that real protection, accurate real-time dynamic monitoring, characteristic maintenance and efficient utilization of local livestock and poultry genetic resources are realized.

This invention relates to the field of water resources data technology, specifically disclosing an automatic multi-source sensing construction system for integrated water resources databases. This system includes a multi-source sensing feature calculation module, a data link encryption and encapsulation module, a self-evolving heterogeneous topology reconstruction center module, a spatiotemporal semantic holographic fusion engine module, and a blockchain trust anchoring mechanism module. The invention calculates environmental fluctuation entropy and dynamically solves for the optimal sampling frequency using a logistic function. Based on the principle of electrochemical corrosion, it uses an exponential decay model to adjust the sensor calibration cycle according to real-time soil salinity, achieving adaptive adjustment of the sampling frequency to accurately capture transient features. It also provides automatic compensation for sensor drift in highly corrosive environments, significantly improving the spatiotemporal accuracy and reliability of long-term monitoring data. This overcomes the shortcomings of existing technologies that lack dynamic calibration compensation mechanisms in highly corrosive environments, leading to severe sensor zero-point drift, distortion of long-term monitoring data, and thus misleading decision-making.

The application relates to the technical field of big data visualization, and provides a chain quality monitoring information visualization method and system based on meteorological observation engineering. The method comprises the following steps: collecting engineering quality monitoring data of each key quality control node in the implementation of meteorological observation engineering; constructing a whole-process stage quality monitoring model comprising a node quality feature description unit, a quality influence transmission path unit between nodes and a quality control threshold interval unit according to the engineering quality monitoring data; then, combining quality control permission information of each participant in a matrix organization collaborative framework, performing correlation analysis on the related units of the model, and generating a chain collaborative interaction strategy; finally, converting the engineering quality monitoring data into multidimensional dynamic views comprising a quality control node correlation view, a quality influence transmission path view and a quality index change trend view according to the strategy, performing abnormal mode identification on the quality index change trend view, and generating hierarchical early warning information comprising early warning grades and early warning ranges.

The utility model discloses an aluminum electrolysis cell shell temperature monitoring system, which comprises a monitoring client, a cell shell temperature monitoring cloud platform and a plurality of local acquisition and control units, and each local acquisition and control unit comprises a plurality of temperature sensors and a plurality of heat dissipation modules; and each on-site acquisition and control unit acquires temperature data of key point positions of the electrolytic cell shell in real time through the temperature sensor, accurately controls the work of the heat dissipation module according to a preset temperature threshold value, and monitors the state of the heat dissipation module. According to the scheme, the problems of exception handling lag and information isolated island of traditional aluminum electrolysis cell shell temperature monitoring can be solved. Automatic temperature adjustment can be achieved, production risks caused by manual delay are avoided, data are integrated, barriers are broken, enterprises are helped to optimize the process, energy is saved, efficiency is improved, the electrolytic aluminum efficiency is effectively improved, intelligent transformation of the industry is promoted, and competitiveness is improved.

The invention discloses a financial service decision-making method and device, electronic equipment and a storage medium, and relates to the field of artificial intelligence or other related technical fields, and the method comprises the steps: receiving a financial service request of a user side, and carrying out the analysis of the financial service request, and obtaining the service information and the service type; calling N artificial intelligence agents based on the service type, and combining the N artificial intelligence agents to obtain an artificial intelligence decision body; inputting the service information into an artificial intelligence decision-making body, and performing service decision-making through the artificial intelligence decision-making body to obtain a service decision-making result; and obtaining a confidence value of the intelligent decision body, pushing the service decision result to the service terminal for correction when the confidence value is smaller than a preset confidence threshold, and executing the corrected service decision result. According to the method and the device, the technical problem of relatively low service decision accuracy caused by adopting a rule-based single artificial intelligence model to assist in service decision in related technologies is solved.

The invention discloses a monitoring and protecting method and system for a speed reducer, which can extract micro-features strongly related to stator winding faults, such as fundamental frequency and side frequency components, specific sub-harmonic components and the like, by synchronously collecting three-phase current of a driving motor and performing spectral analysis. The characteristics are very sensitive to winding turn-to-turn short circuit, insulation aging and other early faults, effective coverage of traditional vibration monitoring blind areas is achieved, and fault discovery time is greatly advanced. By calculating the health degree index of the stator winding, the electrical characteristics are quantified into a visual and continuous evaluation index. Furthermore, the electrical health index is intelligently combined with the analysis result of the vibration signal. The fusion breaks the barrier between electrical and mechanical monitoring, so that the system can comprehensively consider electrical hidden dangers and mechanical conditions like experienced engineers, and make more comprehensive and more accurate judgment on the overall health state and risk level of the speed reducer system.

The application provides a kind of based on multimodal big model's vehicle-mounted vision and voice collaborative interaction method and device, it is related to automatic control technical field, comprising: receiving the voice instruction that user inputs by vehicle-mounted voice acquisition module, the voice instruction is used to indicate the operation demand intention of the user;In response to the voice instruction, the target image that vehicle-mounted camera equipment collects is acquired;Determine operation instruction sequence, the operation instruction sequence is determined by multimodal big model based on demand type and target content, the demand type is determined based on the text information corresponding to the voice instruction The type corresponding to the operation demand intention of the demand type, the target content is the content related to the demand type in the target image;The operation instruction sequence is parsed and executed, to complete at least one group of graphical user interface (GUI) operation corresponding to the operation demand intention.This application can improve the intelligent degree of vehicle-mounted man-machine interaction mode.

The invention relates to the technical field of industrial resin separation and regeneration, and particularly discloses an intelligent monitoring system for resin separation and regeneration, which is characterized in that on-site optical physical signals and industrial control sensing signals are captured in parallel, and time sequence alignment and logic fusion of multi-dimensional data are carried out by utilizing a timestamp technology; and a process state snapshot reflecting the full-amount working condition at the current moment is constructed, so that the barrier between vision and process data is broken. On the basis, the system carries out three-dimensional inversion integral and trend analysis on the snapshots according to geometric parameters of the tower body, resin loss and overflow indexes are accurately calculated, an automatic strategy is generated, and the defect that traditional hard logic control lacks deep analysis capacity is overcome. And finally, authority arbitration and protocol conversion are carried out on the automatic instruction and a user manual instruction in a visual environment through a collaborative interaction layer, and a final execution instruction for driving a field mechanism is output, so that closed-loop collaborative and intelligent operation and maintenance from sensing, analysis to control are realized.

The invention belongs to the technical field of unmanned aerial vehicle control, and particularly relates to an unmanned aerial vehicle route planning method and device, a terminal and a storage medium, and the method comprises the steps: starting an MCP Server based on a FastMCP framework, completing the initialization of a component, and receiving a tool call request from a large language model through the MCP Server; establishing two-way communication between the MCP Server and the airline planning software by utilizing TCP connection, and processing the requested key parameters to obtain set parameters meeting the requirements of the airline planning software; and packaging the set parameters into a standardized message by using the MCP Server, sending the standardized message to the airline planning software, starting the timeout timer and receiving an airline planning result returned by the airline planning software. According to the unmanned aerial vehicle route planning method and device, the terminal and the storage medium, the operation threshold of unmanned aerial vehicle route planning is reduced, and the interaction convenience is improved.

This invention discloses a semantic search and distributed scheduling method for immersive scene resources, comprising the following steps: S1, decoupling and encoding of multi-dimensional semantic features of the scene based on a pre-trained language model; S2, asset retrieval based on multimodal contrastive learning and physical attribute completion based on GCN; S3, incremental hash comparison and dynamic bandwidth optimization scheduling based on an edge computing environment; S4, engine architecture alignment and metadata self-repair algorithm based on a directed acyclic graph (DAG). Simultaneously, a semantic search and distributed scheduling system for immersive scene resources is also disclosed, including: an NLP intent modeling and decoupling engine: mapping long text to a feature matrix; a cross-modal retrieval and attribute graph hub: connecting internal and external databases; a global bandwidth and edge scheduler: data block deduplication and dynamic bandwidth high-load balancing computation; and an engine-side dependency stream repair plugin: DAG topology analysis and underlying metadata path overwriting. This invention can significantly reduce the cost of acquiring materials and improve deployment stability.

The application relates to the field of groundwater pollution remediation, in particular to an oxidation-reduction coupled permeable reaction wall and an evaluation method thereof. The oxidation-reduction coupled permeable reaction wall comprises a cover plate, a cement outer wall body, water stop plates, a reduction chamber, an oxidation chamber and a mixing chamber. The three water stop plates are alternately and vertically fixed on the cement outer wall body and the top cover plate respectively, and the reduction chamber, the oxidation chamber and the mixing chamber are separated by the water stop plates. The reduction chamber and the mixing chamber are communicated by an upper pipeline, and the oxidation chamber and the mixing chamber are communicated by a lower pipeline. The reduction chamber is sequentially provided with a detachable coarse quartz sand plate, a fine quartz sand plate and an active reaction plate from bottom to top. Through the synergistic effect of reduction-oxidation-adsorption, the oxidation-reduction coupled permeable reaction wall can effectively deal with the composite contaminated groundwater to realize complete mineralization of organic pollutants, and has the advantages of high remediation efficiency and strong applicability.

The invention relates to the technical field of supply chain management, in particular to a pig operation traceability system based on a block chain, which comprises a data acquisition module, a block chain network, an intelligent contract module and a traceability query engine, the data acquisition module generates a unique identification code for a pig, acquires structured operation data of each link and encrypts and temporarily stores the structured operation data; the block chain network constructs a main-side chain architecture, a main chain stores a consensus key state event, and a side chain stores detailed process data; the intelligent contract module realizes automatic verification, classification and storage of data through data verification, routing, consensus triggering and contract storage; and the traceability query engine locates the main and side chain data by relying on the lightweight index, and generates a visual traceability file after integration and verification. According to the method, the credible tracing of the pig full-life-cycle data is realized, the data storage and query efficiency is improved, and technical support is provided for pig industry supervision and quality control.

The invention discloses an active risk health intervention emotion accompanying method and system based on a personalized model, and the method comprises the steps: continuously collecting the multi-modal data of a user through an intelligent wearable device, and synchronizing the collected data to a cloud server in real time or quasi real time; constructing and dynamically updating a personal health digital file for the user; generating a personalized accompanying large model exclusive to the user; identifying the current state of the user, and evaluating whether an abnormal risk or a specific demand scene exists; judging an interaction strategy; interaction content is generated, and execution is initiated. The health law, the emotional response mode and the behavior preference of a user are internalized through a personalized accompanying large model, an interaction mode is upgraded from passive response to intelligent active, and the system not only gives an alarm after finding a problem, but also can automatically generate and execute a whole set of personalized care first aid or assistance or coping strategies based on deep insight.

This invention relates to the field of supply chain management technology, and more particularly to a blockchain-based traceability system for pig operations. The system includes a data acquisition module, a blockchain network, a smart contract module, and a traceability query engine. The data acquisition module generates a unique identifier for each pig, collects structured operational data from each stage, and encrypts and temporarily stores it. The blockchain network constructs a main-sidechain architecture, with the main chain storing consensus-driven key state events and the sidechains storing detailed process data. The smart contract module achieves automated data verification, classification, and storage through data verification, routing, consensus triggering, and storage contracts. The traceability query engine uses a lightweight index to locate main and sidechain data, integrates and verifies it, and generates a visualized traceability profile. This invention enables reliable traceability of pig lifecycle data, improves data storage and query efficiency, and provides technical support for pig industry supervision and quality control.