23results about How to "Quick dig" patented technology

The invention belongs to the technical field of biology, and relates to a barley germination period salt-tolerant gene HvHCT1, a protein and an application of the protein in salt damage stress resistance, and the protein comprises an amino acid sequence shown as SEQ ID NO: 2. According to the method, genetic loci related to the salt tolerance of the barley in the germination period are mined through a whole genome association analysis method, then transcriptome sequencing is used for revealing barley salt tolerance differential gene expression changes after salt damage stress, and in combination with association analysis and transcriptome sequencing data, salt tolerance candidate genes in the germination period of the barley are determined. The transgenic arabidopsis thaliana is used for verification; the research provides an excellent germplasm material and a new salt-tolerant gene for barley salt-tolerant breeding research, and also provides a theoretical basis for barley salt-tolerant molecular marker-assisted breeding in the future.

The invention relates to an equipment familial defect analysis method based on a graph database, a knowledge graph and an equipment full life cycle. The method comprises the following steps: constructing a power equipment quality tracing model; the power equipment quality tracing model is configured with a power equipment knowledge graph and a power equipment graph database; determining a current power equipment quality event by adopting a community discovery algorithm matched with the power equipment knowledge graph; reasoning root information causing the occurrence of the current power equipment quality event in the power equipment knowledge base to obtain a power equipment quality event traceability result; according to the current power equipment quality event and the power equipment quality event traceability result, performing high-frequency sub-graph mining on the power equipment knowledge graph, and determining a defect analysis result; and according to a defect analysis result, screening out a station distribution condition of the power equipment associated with the suspected familial defect of the equipment. By adopting the method, the familial defect analysis effect of the power equipment can be improved.

The embodiment of the invention discloses an anti-wear and anti-explosion intelligent real-time monitoring system for a boiler, which relates to the technical field of industrial intellectualization and comprises a boiler data acquisition module, an edge intelligent processing module, a parallel acceleration operation module, a multi-source communication module and an intelligent early warning module, the boiler data acquisition module is used for acquiring sensor data of each part of the boiler through high frequency. The invention further discloses an anti-abrasion and anti-explosion intelligent real-time monitoring method for the boiler. According to the anti-abrasion and anti-explosion intelligent real-time monitoring system and method for the boiler, data of sensors at all parts of the boiler are collected at high frequency, preliminary data processing and analysis are carried out on edge equipment, abnormal data can be recognized in real time, early warning is triggered, the safety and reliability of boiler operation are remarkably improved, and the safety and reliability of boiler operation are improved. The data is screened and preprocessed, the amount of data transmitted to the central system is reduced, the transmission delay is reduced, the data processing efficiency is improved, and the potential abnormal mode of the data can be quickly mined.

The invention discloses a desert greening planting structure and a planting method. The planting structure comprises a device body, a plurality of fixing rods are arranged on the inner wall of the device body, moving wheels are arranged on the outer walls of the fixing rods, a plurality of adjusting rods are arranged at the edge of the top of the device body, a top plate is arranged at the tops of the fixing ends of the adjusting rods, a servo motor is arranged in the center of the top plate, and an electric telescopic rod is fixedly installed in the center of the bottom of the top plate. By means of the device, planting pits can be rapidly excavated in the desertification area, manpower is saved, the planting efficiency is improved, meanwhile, the inner walls of the holes drilled in the desertification soil layer are rotationally supported through the broken-line-shaped friction plates and the arc-shaped plates, the phenomenon that loose sand layers in the inner walls of the holes collapse downwards in the drilling process is avoided, and the drilling efficiency is improved. The situation that the survival rate is reduced due to the fact that the burying depth of the green plant seeds is too small is prevented, the contact area of the conical drill bit and the pit hole can be enlarged through the broken-line-shaped friction plate and the arc-shaped plate, the vertical stability of drilling is enhanced, and deviation is prevented.

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 present invention discloses a trenching machine for concrete asphalt ground, including a frame, a power unit, a traveling mechanism, a cutting and crushing device, a trenching and soil dividing device and a hydraulic system. There are two traveling mechanisms, which are symmetrically arranged on both sides of the frame, and the power unit is connected to the traveling mechanism. The trenching and soil dividing device is arranged on the rear side of the vehicle body. The cutting and crushing device is arranged at the front end of the frame through a front support frame, and includes a transmission shaft, a crushing assembly, and a cutting blade. The transmission shaft is connected to the power unit through a first transmission belt. The cutting blade is arranged on the cutting blade drive shaft, and the cutting blade drive shaft is connected to the front support frame through a cradle. The crushing assembly includes a sleeve, an impact rod and an eccentric wheel. The impact rod is vertically movably arranged below the transmission shaft through the sleeve, and an impact head is arranged at the lower end thereof. The eccentric wheel is arranged on the transmission shaft. The structural design of the present invention is reasonable, cutting and crushing are performed first, and then rapid excavation is performed. The trenching depth can be adjusted to achieve deep excavation, replacing manual trenching, saving time and labor, and having high work efficiency.

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 invention relates to a new energy vehicle highway fatigue driving reminding method, device and equipment, and relates to the field of intelligent traffic. According to vehicle state information uploaded by the new energy vehicle in real time, the driving starting point of the new energy vehicle on the highway is determined, and the driving duration of the new energy vehicle on the highway is determined. Under the condition, real-time data of the new energy vehicle and current laws and regulations are combined, and a reasonable data algorithm is constructed, so that the vehicle with the suspected fatigue driving can be quickly mined and identified, the early warning and prevention and control effects of the fatigue driving behavior can be improved, the occurrence rate of traffic accidents can be effectively reduced, and the driving safety is improved. The road safety is ensured.

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 invention relates to the technical field of optical cables, in particular to a rapid excavating device for underground optical cable overhaul and maintenance, which comprises a connecting block, a fixed seat fixedly connected to the bottom of the connecting block, a roller rotatably connected to the inner wall of the fixed seat, an excavating mechanism fixedly connected to the outer surface of the fixed seat, and a hydraulic motor driving a cutterhead frame to rotate around a first protective shell. When the first hob pair rotates, a second hob firstly makes contact with the land, a first spring is compressed and moves along a square groove, the buffering effect is achieved, the situation that the cutter head frame is damaged due to the fact that the second hob directly makes contact with hard objects such as stones is prevented, the drill bit pair conducts drilling and positioning, the scraper pair rapidly excavates the soft land under the rotating effect, and the first hob excavates the hard soil layer; due to the fact that the second hobbing cutter is movable, stones or hard objects can be excavated out, continuous excavation is guaranteed, the situation that excavation is difficult to conduct due to the fact that the stones and other hard objects appear is avoided, rapid excavation is achieved, and the excavation mechanism is protected.

The present invention relates to a measurement data recovery method and system. The present invention uses matrix regularization to avoid the problem of overfitting and improve the performance of a probabilistic matrix decomposition method with a sparse matrix. In the data recovery process, the influence of abnormal data on the recovery effect is considered, and an isolation forest algorithm is used to detect and remove abnormal data, which can realize rapid mining of abnormal data and improve the accuracy of recovering missing measurement data.

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.

The invention provides a social governance knowledge graph construction method and device, and the method comprises the steps: carrying out the preprocessing of initial text data in a social governance field, and carrying out the named entity recognition and subject term recognition of the preprocessed text data; then, determining a text position relationship between named entities contained in the preprocessed text data based on a named entity recognition result, and performing inter-entity relationship recognition, entity and subject term relationship recognition and event triple recognition on the preprocessed text data based on a named entity recognition result, the text position relationship and a subject term recognition result; and generating a knowledge graph corresponding to the initial text data based on the identification result of the relationship between the entities, the identification result of the relationship between the entities and the subject terms and the identification result of the event triple. By adopting the method, the entities, the subject terms, the events, the relationship between the entities and the relationship between the entities and the subject terms can be quickly and accurately mined from the social governance data so as to construct the knowledge graph.

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 present application discloses a badcase mining method and electronic device for improving the efficiency of badcase mining. The method comprises: extracting feature information from user log data generated during voice interaction between a smart device and a user; inputting the feature information into the badcase mining model to obtain the category to which the user log data belongs; the category is one of the following categories: a non-badcase data category and at least one badcase data category; the badcase data category is used to indicate that the output of the smart device during voice interaction with the user does not meet the user's expectations; the non-badcase data category is used to indicate that the output of the smart device during voice interaction with the user meets the user's expectations.

The invention provides an intelligent traffic big data lake. The intelligent traffic big data lake comprises a center node and at least one edge node, one edge node corresponds to one partition; the edge nodes are connected with the center node, and the edge nodes are used for collecting first original data in the corresponding partitions, performing first preprocessing on the first original data to obtain first credible area data, and performing theme-oriented analysis on the first credible area data to obtain first value area data; the central node is used for collecting, storing and processing second original data; aiming at mass traffic big data with the characteristics of large scale, multiple types, low value density, high speed and the like, the invention provides a region-level logic-unified and physically-dispersed intelligent traffic big data lake, through a central node + edge node architecture, the requirement of strong real-time processing of the traffic big data is met, and the real-time performance of the traffic big data is improved. Through hierarchical storage of the center node and the edge nodes, rapid processing, analysis and mining of mass traffic big data are realized.

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.

The invention relates to a power equipment quality tracing method based on a graph database, a knowledge graph and an equipment full life cycle. The method comprises the following steps: constructing a power equipment quality tracing model; the power equipment quality tracing model is configured with a power equipment knowledge graph and a power equipment graph database; performing quality problem identification on the power equipment quality tracing model by adopting a community discovery algorithm matched with the power equipment knowledge graph, and determining a current power equipment quality event; taking the current power equipment quality event as a reasoning starting point, taking a preset reasoning ending target as reasoning guidance, reasoning root information causing the occurrence of the current power equipment quality event in the power equipment knowledge base, and obtaining a power equipment quality event traceability result; and constructing an in-station wiring diagram comprising the power equipment quality event traceability result. By adopting the method, the tracing efficiency of the quality problem of the power equipment can be improved.

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.

The invention discloses a bucket-wheel excavator with an adjustable bucket-wheel mechanism, and relates to the technical field of bucket-wheel excavator bucket-wheel structures, the bucket-wheel excavator comprises a bearing support, an adjusting support, a supporting frame, a bearing outer frame, a positioning support, a bearing frame and an excavation driving device, the bearing support is arranged on the side face of a supporting arm of the excavation driving device; a butt joint side groove is formed in the side face of the adjusting support, an assembling sleeve groove is formed in the side face of the supporting frame, the outer side of the supporting frame is fixedly sleeved with the bearing outer frame, a mounting sleeve groove is formed in the side face of the positioning support in a penetrating mode, and a fixed bearing groove is formed in the side face of the bearing frame. According to the invention, the assembly carrying shaft is matched with the adjusting carrying seat to support the single group of bearing frames to move, so that the distance between the two groups of bearing frames is increased, and the bearing frame adjusted to the maximum distance is matched with the mounting clamping groove to replace the excavating side bucket, so that the problems that a single bucket wheel is of a fixed structure, the bucket wheel cannot be adjusted according to actual requirements, and the working efficiency is high are solved. And the amount of the excavated materials is fixed when the bucket wheel rotates once.

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.

The utility model relates to the technical field of coal mines, and discloses a coal mine mining filling tunneling device which comprises a tunneling base, walking wheels installed on the side wall of the tunneling base and a machining assembly arranged at the top position of the tunneling base, and the machining assembly comprises an adjusting mechanism installed at the top position of the tunneling base. A tunneling mechanism is installed at the top of the tunneling base and connected with an adjusting mechanism, the adjusting mechanism comprises a stand column, the stand column is fixedly installed on the inner wall of the U-shaped plate, and a moving block is slidably installed on the side wall of the stand column. The utility model solves the problem that the existing device is used for tunneling a coal mine through a tunneling head, but the tunneling head is fixed, so that the tunneling head is difficult to adjust to a fixed height according to the requirement of an operator, and the existing tunneling head has certain limitation when being used.