9results about How to "Quick dig" patented technology

The application provides a ship-vehicle-person virtual image establishment method and system, which comprises the following steps: obtaining ship, personnel and vehicle data as source data for preprocessing, calculating and mining labels according to the preprocessed source data, and producing ship, personnel and vehicle labels; defining hierarchical labels; defining group labels; extracting basic attributes of the ship, personnel and vehicle; defining personalized labels, adding personalized labels to the ship, personnel and vehicle according to their basic attributes and respective source data; defining correlation relationship labels among the ship, personnel and vehicle; creating a label table in a database, adding the calculated labels into the label table, and then performing correlation analysis on the respective source data of the ship, personnel and vehicle and the label table according to business requirements to obtain index data; and providing the index data to a ship-vehicle-person virtual image system for drawing charts. The application can improve traffic operation efficiency, safety and risk prediction.

The invention relates to the field of bioengineering and genetic engineering, and particularly provides a rapid digging method of isomerase genes. According to the method, on the basis of big data analysis and bioinformatics technologies, in combination with means of sequence alignment, gene expression analysis, function prediction and the like, rapid and accurate mining of isomerase genes is achieved, and powerful technical support is provided for development and application of the enzyme engineering field.

The present application relates to a kind of multi-test bench railway vehicle test data integrated management system, belong to railway vehicle test data management technical field.The data acquisition module of the system is based on adaptive matching mechanism obtains multi-test bench data and completes local pre-processing;Data processing module constructs data correlation rule, generates dynamic cross-test bench data correlation atlas, realizes multi-source data fusion and value-driven storage scheduling by hierarchical fusion strategy;Core management module generates test task scheduling scheme and completes priority adjustment, constructs digital twin mapping and generates whole-process traceability link;Interactive collaboration module generates adaptive data display scheme, pushes abnormal early warning and completes field operation interaction.The present application solves the problems of existing multi-test bench data integration, scattered management and poor traceability, realizes the standardization and intelligent control of whole-process railway vehicle test, and improves the test efficiency and data management reliability.

The application discloses a kind of based on network data snapshot visual tree layout method, belong to data visualization technical field, including the following steps: obtaining the tree structure data of network data default snapshot;According to tree structure data, the total row number, total column number, the row number and length of non-leaf node, the position of leaf node of visual tree are calculated;According to the tree structure data obtained in S1 and the data calculated in S2, the position of non-leaf node of visual tree is calculated;According to the position data of leaf node in S2 and the position data of non-leaf node in S3, tree type visual view is drawn, the tree structure data of network data default snapshot is traversed in the application, and the length, row number and column number of leaf node and non-leaf node are calculated, the position of leaf node and non-leaf node is obtained, and compact, symmetrical, non-overlapping visual tree can be generated layout, can be more intuitive and in-depth to understand data, quickly discover and mine effective information, greatly improve work efficiency.

This invention discloses a method, apparatus, device, storage medium, and product for constructing a knowledge base. The method includes: preprocessing original business materials to obtain initial business data; performing semantic parsing on the initial business data using a large model to generate candidate business data; if preset indicators of the candidate business data do not meet preset conditions, revising the candidate business data multiple times according to a preset revision strategy until the preset conditions are met; wherein the preset indicators include at least one of semantic accuracy, semantic novelty, and semantic stability indicators of the candidate business data; determining target business data based on the revision results, and constructing a business process knowledge base based on the target business data. This invention can construct a business process knowledge base based on original business materials in the initial stage of intelligent system construction, thereby supporting the initial deployment of the intelligent system.

The invention discloses a multi-Agent cooperation intelligent number asking method and system for a shipping database based on RAG enhancement. The method comprises the following steps: training a relationship mining model based on a historical shipping business data table of a shipping enterprise; determining ERD relation description among the target shipping service data tables by utilizing a relation mining model and combining with an automatic script; constructing a special shipping business knowledge base and an SQL corpus knowledge base; the query analysis Agent is utilized to analyze the user question intention, and query intention description is obtained; relevant ERD relation description, SQL corpora and the like are recalled in the two knowledge bases through the RAG technology, and an enhanced retrieval result is generated after rewriting and duplicate removal; based on the enhanced retrieval result, utilizing a plurality of SQL generation Agents to generate SQL statements in parallel, and utilizing a decision tree to score the generated SQL statements to determine the SQL statement with the highest score; and executing the SQL statement with the highest score, if execution fails, reasoning an error reason according to the SQL corpus knowledge base, feeding back the error reason to the SQL generation Agent, and regenerating the SQL statement.

This invention proposes a method for constructing and applying a structured ontology oriented towards intelligence search needs, comprising the following steps: constructing structured intelligence terms; constructing a structured intelligence ontology using these terms; and applying the constructed structured intelligence ontology. This invention can aggregate data from multiple sources to quickly mine terms and ontology data suitable for intelligence search needs; based on the constructed terms and ontology data, it can effectively enhance the purposefulness and comprehensiveness of current intelligence search and analysis, and significantly improve the efficiency of user intelligence search and analysis.

This invention relates to a method for constructing and implementing a global knowledge graph for counterterrorism data. The method includes fusing and optimizing the Maryland Global Counterterrorism Database with a custom database to obtain a global database and a global knowledge graph; extracting resource description framework triples; embedding the resource description framework triples into a semantic space; training a deep learning network through the semantic space to obtain a multi-task joint learning model; inputting the word vector space to be identified into the multi-task joint learning model to obtain new resource description framework triples; and adding the new resource description framework triples to the global knowledge graph. This invention utilizes a global knowledge graph, significantly reducing the size of the knowledge base during training, testing, and querying, while greatly improving accuracy. It also fills gaps in the global knowledge graph. The technical solution provided in this application utilizes the correlation between things to quickly determine and analyze terrorist situations, greatly meeting current application needs.

The utility model discloses a portable nursery stock transplanting device in the technical field of gardens, which comprises a main rod, a telescopic rod is arranged at the bottom of the main rod, a digging shovel is arranged at the bottom of the telescopic rod, the whole digging shovel is of a semicircular structure, and a treading rod is fixedly connected to the side wall of the bottom end of the main rod. A connecting column is fixedly connected to the side wall of the end, close to the pedal rod, of the main rod. Through mechanical operation, the device can rapidly dig and carry nursery stocks, and the efficiency of transplanting work is greatly improved. The digging shovel in the device is designed to be of a semicircular structure, the root system of the nursery stock can be completely dug out, damage to the root system is reduced, and follow-up growth of the nursery stock is facilitated. The main rod and the telescopic rod are designed, so that the device can be adjusted according to the size of the nursery stock and the root depth, and the flexibility and adaptability of the device are improved. The device is simple in structure and convenient to operate, can be used without complicated training and skills, and reduces the operation difficulty.