16results about How to "Guarantee authority" patented technology

The invention belongs to the crossing field of an automobile active safety system and a high-precision gas sensing technology, and provides a vehicle-mounted alcohol system and method which can avoid interference of other ethanol-containing substances and only detect gas exhaled by a driver. The system defects of an existing vehicle-mounted alcohol detection system in the aspects of reliability, anti-interference performance and integration are overcome. On the basis of traditional alcohol detection and photoacoustic spectrum detection, the detection sensitivity, reliability and accuracy are improved, meanwhile, the device can be integrally applied to a vehicle-mounted alcohol detection system, and the requirement for rapidly and accurately detecting whether a driver drinks alcohol or not in a vehicle in real time is met.

The invention discloses an endotoxin expert question-answering method and system based on a neural symbol mixed architecture. The method comprises the following steps: constructing a structured endotoxin knowledge graph; extracting a new entity and a new relationship from a new document through automatic processing, and dynamically fusing the new entity and the new relationship into the knowledge graph based on hybrid weighted calculation of semantic association strength and domain rules; receiving a natural language query of a user, and identifying a key entity and a core intention in the query by utilizing a large language model; and based on the key entity, searching a local knowledge sub-graph containing multi-hop neighbor nodes and an association relationship in the knowledge graph, after the sub-graph is subjected to symbol rule logic verification, serializing the sub-graph into a fact constraint context, inputting the fact constraint context into the large language model, and generating a natural language answer with evidence traceability information. According to the method, accurate, efficient and compliant intelligent question answering of endotoxin-related questions is realized through a neural symbol mixed architecture combining a knowledge graph and a large language model in combination with dynamic knowledge updating, logic conflict resolution and a multi-scene deployment scheme.

The application provides a kind of thermal protection interlock logic knowledge base construction method and system, comprising: based on graph database construction knowledge graph;Combining the initial knowledge item generated by preset hazard dimension, and retrieve the citation basis related to initial knowledge item from multi-source thermal data, the citation basis is associated with initial knowledge item, form the knowledge item after association;The associated knowledge item is verified in multiple rounds, and the verification includes calling the existing knowledge in the knowledge graph for logical self-checking, cross verification with historical knowledge items and backstepping verification based on accident cases, and output the knowledge item that passes the verification;Continuously monitor the thermal data source, generate knowledge update proposal based on the knowledge item that passes the verification, and update the knowledge graph and knowledge item after compatibility verification and artificial review of the update proposal.The application reduces the risk of knowledge deviation caused by human error through automated process and multiple verification mechanisms.

The invention belongs to the technical field of artificial intelligence and geographic information systems (GIS), particularly relates to an artificial intelligence interpretation processing system for wide-area territorial space planning survey analysis, and aims at solving the problems that multi-source heterogeneous data fusion is difficult, the artificial interpretation efficiency is low, change response is lagged and the like. The system integrates a multi-modal data preprocessing module, a cross-modal feature fusion module, a context perception interpretation module, a spatio-temporal change detection module and a knowledge graph reasoning module, realizes automatic alignment, high-precision ground feature classification and dynamic change identification of multi-source data such as remote sensing and point cloud, and develops compliance review and risk early warning in combination with a planning knowledge base. The achievement generation module supports standardized map output and three-dimensional visualization, and the system realizes efficient parallel processing based on a cloud computing architecture, supports high-frequency and refined land space dynamic monitoring nationwide, and significantly improves the investigation efficiency and the planning treatment capability.

The present application relates to the technical field of large model, especially to a reading recommendation large model generation method and system based on big data resources.The method comprises the following steps: obtaining a text to be evaluated and collecting reading materials of multiple learning stages and multiple types, labeling them, aggregating and verifying the consistency of the labeling results, and constructing a verified recommendation database; based on the recommendation database, performing low-rank adaptive fine-tuning on the general pre-training large model to obtain a domain model, and monitoring and correcting the performance and bias during the training process; performing multi-dimensional analysis on the text to be evaluated to generate a text feature vector, combining semantic vector similarity retrieval to perform hybrid retrieval on the recommendation database; the present application realizes more accurate and efficient reading recommendation through the construction of the reading recommendation large model.

This invention discloses a method, apparatus, device, and medium for determining search feedback information based on autonomous iteration. The method includes: acquiring the original query terms input by a target user and determining the query intent corresponding to the original query terms; determining a search engine combination based on the query intent; acquiring candidate information sources corresponding to the query intent based on the search engine combination and determining the information quality score corresponding to the candidate information sources; determining the target information source from the candidate information sources based on the information quality score; calculating the information entropy, information similarity, and resource consumption of the target information source; and determining whether a stopping condition is met. If the target information source meets the query stopping condition, generating a query feedback result based on the target information source and feeding the query feedback result back to the target user. If the target information source does not meet the query stopping condition, treating the target information source as a historical information source and returning the search engine combination determined based on the query intent. This ensures the accuracy of the feedback results.

The application provides a power consumption information batch checking and retransmission optimization method and system and a power consumption information collection terminal. The method comprises the following steps: quickly reading historical power consumption information records, historical OAD bitmaps and data version identifiers from a database through time sequence hash indexing; generating a new OAD bitmap for newly collected data, identifying data items contained in the new OAD bitmap; merging new and old power consumption information according to preset credibility weights, retaining data items with the highest credibility, and updating the OAD bitmap through bitmap bitwise OR operation; further calculating a cyclic redundancy check code based on the merged records; writing the merged records, the updated bitmap and the check code as an atomic operation unit into the database, and incrementing the data version identifier, so as to realize the collaborative processing of data conflicts, version management and integrity during the batch retransmission process.

The application provides a water and fertilizer integrated machine, system and method for remote and local mode free switching, and belongs to the field of fertilization and watering systems. The water and fertilizer integrated machine realizes a unique "local start and remote stop" interaction logic through its control circuit. The circuit contains a parallel local control branch and a remote control branch, and through an interlocking logic circuit, the electrical interlocking of the two control instructions is ensured to avoid conflicts. In addition, the system is integrated with a low-voltage protection unit and a liquid level linkage unit, which automatically cuts off the control circuit when the power supply voltage is abnormal and the liquid level is too high, respectively, providing double safety protection. The application solves the problems of single control mode and lack of safety interlocking of existing equipment, and realizes the flexibility, safety and reliability of human-computer interaction in water and fertilizer integrated management.

The invention discloses an automatic sampling method for carbon black granulation, which comprises the following steps of: adopting an automatic sampling system for carbon black granulation, S1, starting a translation driving mechanism, stopping the translation driving mechanism when a telescopic end pushes a sampling hopper to move leftwards to be detected by a translation position sensor positioned on the left side, and taking materials; meanwhile, the lifting end of the rotary driving mechanism descends to drive the central column to rotate and stops descending, and the empty sampling cup on the sampling circular table just stays under the material receiving funnel; s2, a translation driving mechanism is started, when the telescopic end of the translation driving mechanism pulls the sampling hopper to move rightwards to be detected by a translation position sensor located on the right side, the translation driving mechanism stops and stays for set time, and after discharging is completed, the lifting end of a rotary driving mechanism ascends again and does not drive the center column to rotate; the method has the advantages of automatic sampling, timing and quantitative sampling, positioned discharging, step-by-step linkage and the like.

The application discloses a kind of BMS cloud data consistency test methods for mobile terminal application, comprising the following operating steps, establish BMS to cloud platform to APP, program all-link real-time data acquisition and standardization processing;With the BMS original data stored in cloud platform as benchmark data source, construct benchmark library with unique identification and check code;BMS is uploaded to cloud platform by real-time data with 4G carried by itself;APP, program obtains real-time data from cloud platform according to strategy, recalculate and generate display snapshot, save locally;Background statistics cloud platform respectively collects cloud platform, APP, program real-time data, executes multidimensional consistency comparison;According to preset threshold value, carry out abnormality determination and abnormality classification;Abnormality positioning, log record, alarm push, self-healing processing;Background statistics cloud platform can be visualized statistics and report output.The application has multidimensional consistency verification, and the advantages that the accuracy, consistency and stability of BMS cloud data transmission and display are comprehensively improved.

The present application relates to the plant hospital intelligent management system based on disease identification model, relates to rice processing technical field, including multi-source data sensing unit, feature extraction unit, fusion research unit, decision checking unit and artificial auxiliary decision unit;The present application simulates the logic of expert comprehensive research and judgment through multi-source data fusion, can effectively identify the same disease, utilizes environmental constraint, greatly reduces the misdiagnosis rate and the missed diagnosis rate, simultaneously introduces standard image and historical disease image collaborative modeling, through multi-scale feature extraction, enhances the capture ability of the disease representation under the complex background of the tiny disease spot, provides high-purity feature support for subsequent research and judgment, through the refinement management of the professional degree level and the treatment direction of the person who sees a doctor, realizes the accurate automatic matching of difficult disease and experienced experts, ensures that the complex case can obtain the most professional audit, trains the prior model through the historical data, and finally corrects the diagnosis result by artificial opinion.

The application discloses a kind of cardiovascular disease prevention and treatment intelligent popular science platform, it is related to medical health and intelligent information processing technical field.The platform contains user portrait, popular science content library, intelligent push, interactive learning, effect evaluation and data security management module, each module realizes data interaction by data interface.User portrait module gathers multidimensional information to construct accurate portrait;Popular science content library module integrates authoritative resources to construct multi-type hierarchical library;Intelligent push module realizes personalized push based on portrait;Interactive learning module improves participation in various interactive forms;Effect evaluation module constructs model through multidimensional data, generates evaluation report and pushes reinforcement content;Data security management module guarantees data security and user privacy.The application solves the problems of poor targeting, single form and other problems of existing popular science, improves the accuracy and effectiveness of popular science, provides comprehensive, scientific and convenient popular science services for the public to prevent and treat cardiovascular diseases, and helps to effectively prevent and treat diseases.

The invention provides an ETC truck lane entrance entering method, which relates to the technical field of intelligent traffic and comprises the following steps of S1, synchronously acquiring multi-source sensing data of a vehicle when the vehicle enters an identification area; s2, performing fusion processing and real-time verification on the multi-source sensing data; s3, generating a transaction decision instruction based on consistency comparison and matching verification results; s4, according to the type of the exception handling process, executing a corresponding check operation until the transaction is completed or manual handling is carried out; through time-space synchronous triggering and data fusion of a laser radar, a visual system and a dynamic weighing platform, the system can obtain multi-dimensional information such as a three-dimensional physical contour, an accurate wheelbase, a cargo form, real-time axle load and total weight, a motion state and the like of a vehicle, and a complete digital portrait of a physical entity of the vehicle is formed. And a solid foundation is laid for subsequent accurate verification.

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 embodiment of the invention discloses a method and a device for realizing data synchronization among multiple nodes based on a block chain, a storage medium and electronic equipment, when a target node on the block chain receives block data sent by a first node, the stored data stored by the target node is firstly updated, and then the data is compared with other adjacent nodes, so that the data synchronization among the multiple nodes is realized. The data of the adjacent nodes are synchronized to be consistent with the data of the target node, and even the data of other nodes of the block chain are synchronized to be consistent.

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.