134results about How to "Clear relationship" patented technology

The invention relates to a fault monitor and diagnosis method of a continuous annealing unit, in particular to a PCA (Principle Component Analysis) model based furnace temperature and tension monitoring of a continuous annealing unit, mainly comprising the following steps of firstly, according to process variable data obtained in the field, and establishing a temperature and tension monitor modelby utilizing a principle component analysis PCA method; secondly, establishing an off-line model and calculating the T2 statistics quantity and the SPE statistics quantity as well as contributed control limits thereof by utilizing the data, obtained in step one, when process variable is in a normal work condition; thirdly, applying an on-line model, calculating the T2 statistics quantity and the SPE statistics quantity of current data, monitoring whether a current state is normal or not according to information supplied by the off-line model, and giving alarm signals if abnormal; fourthly, determining a leading variable which causes a fault by utilizing contribution of the T2 statistics quantity and contribution of the SPE statistics quantity. The invention monitors the furnace temperature and tension in real time in the production process and traces back a fault reason for leading to system abnormality when the abnormality occurs.

The invention relates to a strip steel quality forecasting, furnace condition early-warning and fault diagnosis method, in particular to a strip steel quality forecasting, furnace condition early-warning and fault diagnosis method based on partial least square, comprising the following steps: model selection: multiple models are adopted to describe the process characteristics of corresponding steel types; data preprocessing: data alignment based on the model is carried out, synchronization relation of process input and quality output is built and data dimensionless treatment is carried out to eliminate effect of process data on modeling precision owning to non-unity of physical units; an off-line model building; a PLS (partial least square) model for strip steel quality and process variable is built by utilizing a great amount of historical data in normal working conditions; determining control limit of an monitor-control index; determining variable quantity control limit; and on-line forecasting and on-line detection and fault diagnosis. In the invention, the model for the strip steel quality and the process variable is built by PLS algorithm, so as to realize real-time quality forecasting, process monitoring and fault diagnosis.

The invention discloses a bicircle shield soil chamber residue soil flow characteristic visual observational experiment system which comprises a model soil box, a reduced scale bicircle shield tunneling machine excavation system simulation test device, a uniformly distributed load loading device and a PIV digital image processing system, wherein the model soil box is filled with transparent soil and is connected with the uniformly distributed load loading device after the upper cover is dismantled; the end, provided with a partition board, of the model soil box is connected with the reduced scale bicircle shield tunneling machine excavation system simulation test device; lasers are arranged above and on the side face of the model soil box respectively; a CCD camera is adopted to acquire an image, controls image acquisition through connection with a computer, and analyzes image data. The invention further discloses a method for carrying out an observational experiment by adopting the bicircle shield soil chamber residue soil flow characteristic visual observational experiment system. With adoption of the bicircle shield soil chamber residue soil flow characteristic visual observational experiment system, a residue soil flow field of the soil chamber and a soil body displacement field in front of an excavation face can be effectively observed to provide an excellent test platform for the soil body improvement effect and setting and control of soil chamber pressure; in addition, the system is safe, convenient and rapid to dismantle, high in testing accuracy and recyclable.

The invention belongs to the field of biological medicines, and relates to a method for screening HRDs disease-causing mutation and a gene chip hybridization probe designing method involved in the same. The method for screening the HRDs disease-causing mutation comprises the steps of (1) establishing an HRDs genetic resource repository; (2) designing and synthesizing a gene chip hybridization probe of an HRDs disease-causing gene, and integrating the gene chip hybridization probe onto a gene chip; (3) capturing a target area by utilizing the prepared gene chip and executing the depth sequencing; (4) analyzing the sequencing data on the aspect of bioinformatics, and screening the candidate disease-causing gene; (5) functionally predicting a newly-discovered splicing gene mutation site. By establishing the high-efficient HRDs target gene capturing technology, adopting the depth sequencing as a means and confirming the efficiency of the HRDs capturing chip, a high-efficient credible biological information analysis model is established.

The invention relates to the technical field of artificial intelligence, and discloses an information recommendation method and device based on a knowledge graph, equipment and a storage medium, and the method comprises the steps: obtaining initial data, recognizing the relationship between entities in the initial data, and constructing the knowledge graph; when a target customer is determined, extracting initial data of the target customer from the knowledge graph, constructing a sub-graph, then training a graph convolutional neural network GCN by adopting the sub-graph and a pre-constructedproduct feature vector, inputting product information data in basic data into the trained graph convolutional neural network GCN, and carrying out binary classification processing; and obtaining a selection probability of each product, selecting the corresponding product information data as to-be-recommended information according to the selection probability, and pushing the to-be-recommended information to the target client. The invention also relates to blockchain technology. Initial data is stored in the blockchain. According to the invention, the knowledge graph is constructed to improve the efficiency of information recommendation.

The invention discloses a mechanical system time varying reliability evaluating method based on a dynamic Bayesian network. The mechanical system time varying reliability evaluating method comprises a first stage of determining model basic indexes, a second stage of structuring the structure of the Bayesian network and a third stage of updating a formula and the time varying reliability of a Monte Carlo simulation computer mechanical system according to Bayesian information. The mechanical system time varying reliability evaluating method has the advantages that a knowledge diagrammatic expression method is provided through the Bayesian network, directed diagrammatic expression can be carried out on the cause and effect probability relation between node variables, and the cause and effect probability relation can be used for uncertain knowledge expression, cause and effect reasoning, diagnosis reasoning and the like. The weak link of the reliability of the system can be effectively recognized through reasoning of the Bayesian network; the relation between components in the mechanical system becomes more visual and clear through diagrammatic display, the dynamic Bayesian network technology is applied to evaluation of the time varying reliability of the mechanical system, the multiple states and failure correlation of the mechanical system are analyzed, and a theoretical support is provided for improving the performance and the reliability of the mechanical system.

An information storage device which can record highly reliable information is provided. The moving object information storage device 3 is an information storage device equipped in a moving object 1, and includes: a moving object information storage unit 32 storing moving object information based on information detected by sensors which detect information related to the moving object 1; a tamper preventing unit 20 obtaining specifying information which can specify the moving object 1, and generating integrity information to be used for verifying if at least either the specifying information or the moving object information is tampered or not based on the obtained specifying information and the moving object information stored in the moving object information storage unit 32; and an integrity information storage unit 33 storing the integrity information generated by the tamper preventing unit 20.

The invention relates to a centralized operation and maintenance-based hardware resource analysis and assessment method. The method comprises the following steps of: 1) defining types of system hardware resource monitoring indexes; 2) periodically acquiring system hardware resource indexes; 3) establishing an analysis and assessment model for the system hardware resource monitoring indexes; and 4)analyzing and assessing system hardware resources. Aiming at automatic equipment resource data of multistage systems in a centralized operation and maintenance mode, multiple effective analysis and assessment methods are provided to predict system resource development trend, mine rules of system operation process and potential safety hazards, assist and schedule automatic operation and maintenance personnel to comprehensively grasp possible problems of the systems, enhance risk prevention levels of multistage intelligent power grid scheduling control systems, and satisfy requirements, for operation and maintenance work of scheduling control systems, of rapid development of power grids.

The invention provides a graph database Neo4J interactive visualization operation method and system, and relates to the field of graph database interaction visualization. The method comprises the steps that a mouse is clicked to interact with a user interaction interface, a node creation request is initiated, a back end calls a newly-built node program in a node operation module, node creation operation is converted into a Cypher statement, the Cypher statement is executed, an execution result is returned to the user interaction interface, and a node is drawn at the click position; dragging the mouse to interact with the user interaction interface; obtaining a dragging start-stop node number; and initiating a new relationship request by taking the dragging start-stop node number as a parameter, calling a new relationship program in the relationship operation module by the back end, converting new relationship operation into a Cypher statement, executing the Cypher statement, returningan execution result to the user interaction interface, and drawing a relationship between the start node and the stop node. The method has the beneficial effects that the use threshold of the graph database Neo4J is reduced by clicking the button, dragging the icon, inputting the node name and other simple and easy-to-understand operations.

The invention discloses a method for improving the anaerobic sludge granulation efficiency, and belongs to the field of organic waste water treatment. The method for improving the anaerobic sludge granulation efficiency is provided for the problems that the anaerobic granular sludge culture circle is long, the granule stability is poor, and the culture cost is high in the prior art. The method comprises the steps that an appropriate number of organically synthesized acyl-homoserine lactone (AHL) signal molecules are added into the bottom of an EGSB reactor used for anaerobic sludge granulation culture periodically and mixed with anaerobic sludge, the addition cycle is the same as the hydraulic retention time, and the advantages that the anaerobic sludge granulation efficiency is high, the cost is low, the needed granulation time is greatly shortened, the formed granular sludge is good in stability, the structure is simple, and operation is convenient can be achieved.

Disclosed is a phase plane self-adaptation control method based on a characteristic model. The method comprises the following steps: (1) a speed limit value in a jet control law is designed; (2) an angular speed maximum value of a stepped zone, an angular speed maximum value of a low thrust zone, a dead zone theta D and a stepped threshold value theta v in the jet control law are designed; (3) a high thrust zone threshold value theta B in the jet control law is designed; (4) a low thrust angular speed accelerated speed parameter ac2 and a high thrust angular speed accelerated speed parameter ac1 in the jet control law are calculated according to a golden ratio coefficient; (5) a stepped zone parameter kjj in the jet control law is calculated according to the low thrust angular speed accelerated speed parameter ac2, and a parabola coefficient KX in the jet control law is calculated according to the high thrust angular speed accelerated speed parameter ac1 and other phase plane parameters; (6) the controlled quantity is calculated according to parameters designed in the above-mentioned steps and a phase plane jet control logic, namely, the jet length of an engine is confirmed, and the engine is controlled within a sampling control period according to the confirmed control quantity.

The invention provides a function tree structure of a microprocessor function validate testing example and an automatic generating method. A method using the function tree structure describes a testing example, the function tree structure has clear structure layer, relationship between various indication and parameter is clear for processing description using programming language; the function tree structure is mapped to a testing example described by SystemVerilog language using Perl language automatically, only needing inputting corresponding indication according with the function tree structure can generate the testing example automatically, according, time for covering the function tree structure into the testing example is reduced and a validity efficiency is increased, and a product without defect come into a market can be realized in a short time; in addition, the method can increase or decrease indication or parameter according with various product based on existing function tree structure that can be suitable for generating the testing example of various product automatically, according, increase reusability of the testing example.

The invention discloses an ecological security pattern construction method, comprising the following steps: firstly, acquiring a plurality of data points with known attributes of protecting an ecological security pattern and a plurality of data points with known attributes as construction sites; extracting environmental variables of the data points, and training for an LR model in SPARK through the environment variables of the data points, so as to obtain a relationship between each environment variable and the ecological security pattern; applying the weight vector of each environment variable obtained from the training to GIS to obtain a target grid, and constructing an ecological security pattern prediction model based on a logistic regression model; and when an ecological security pattern is to be constructed for a certain area, acquiring the distribution map of each environmental variable in the area, and inputting the environmental variables into the ecological security pattern prediction model to obtain an ecological safety pattern probability distribution map. The method can be used to accurately construct the ecological security pattern of each region, and has a relativelyhigh reference value in practical use.

The invention discloses an intelligent question and answer method and a system based on a tourism knowledge graph. The method comprises the steps of obtaining a to-be-queried statement; performing named entity recognition on the to-be-queried statement to obtain an recognized entity; performing entity relationship mining on the to-be-queried statement to obtain a mined entity relationship; according to the entity and the entity relationship, constructing a Cypher statement of the to-be-queried statement; and based on the Cypher statement of the to-be-queried statement, searching the tourism knowledge graph to obtain a corresponding answer. Local tourists are helped to quickly and efficiently obtain tourism related information, and tourists are helped to plan travel routes.

The invention discloses a method for deeply mining and analyzing non-performing asset information data. The method belongs to the field of non-performing asset data analysis, and comprises the following steps: (1) extracting asset information including asset summary information, asset information, property information, borrowing contract information, guarantee contract information, litigation trial information, litigation management information, main body information and the like; And (2) establishing a mutual relation among the information through a business logic relation. The invention further discloses a system for deeply mining and analyzing the non-performing asset information data. According to the invention, the many-to-many association relationship is adopted to realize the business logic requirements of non-performing assets, so that the asset information relationship is clearer, the relationship between the asset information and the main body information can be convenientlyinquired, and the relationship between a debtor and the amount of non-performing assets can be more quickly positioned.

The invention discloses an object-based government informatization asset management method and system, and belongs to the field of big data information processing. The technical problem to be solved by the invention is how to sort, check, count and analyze informationized assets of government departments. It is ensured that the bottom of a department informatization asset family, a zombie clearingsystem, construction of a business data association relationship, establishment of an assessment mechanism and asset value mining can be rapidly mastered. According to the technical scheme, the method specifically comprises the following steps: S1, carrying out objectification and standardization on various informatization assets; s2, clearing the relationship among various informationized assetobjects; and S3, performing operations of filling progress tracking, statistical analysis, association graph configuration and asset configuration application condition evaluation according to different asset objects. The system comprises a data source layer, a data acquisition layer, a data integration layer, an analysis mining layer and a service application layer.

The invention provides an optimal planning and orderly quitting method for an electric bus charging station, and belongs to the technical field of electric bus charging stations, and the method comprises the steps: firstly building an electric bus charging station location and constant volume optimization model; determining a charging station configuration scheme meeting a charging peak period according to the location and constant volume optimization model; determining a charging station configuration scheme meeting a charging peak period according to the location and constant volume optimization model in combination with the charging station configuration scheme meeting the charging peak period; classifying the charging stations according to the charging station configuration scheme meeting the charging peak period and the charging station configuration scheme meeting the charging flat peak period; and based on the classification of the charging stations, performing energy storage configuration on each charging station so as to balance charging demand changes in a peak period and a flat peak period. According to the method, the planning and quitting problems of the electric bus fast charging station in the area where the charging demand suddenly increases and falls back in a short time are solved, and the problems of idleness and resource waste of the charging station after the charging demand falls back due to one-time planning are avoided.

The invention provides a method for distributing a register in an embedded system based on an inverse image description, which mainly solves the problems that the conventional heuristic algorithm requires short time for distributing the register but has poor distributing effect, while a hybrid evolutionary algorithm has the good distributing effect but requires overlong time. The method comprisesthe following steps of: (1) taking an inverse image from a mutual interference figure of an intermediate variable to obtain an inverse figure model G; (2) distributing all nodes in the inverse figuremodel to a temporary register; and (3) optimizing the obtained register distribution result by using local search technology, namely a local search platform (LSP). The method has the advantages of introducing inverse figure operation, complete dividing figure operation and maximum complete sub-figure operation, utilizing the relevant knowledge of a graph theory fully, acquiring a very good methodfor distributing the register in the embedded system within a short time, increasing the program compilation efficiency of the embedded system, along with more actual application value.