40 results about "Knowledge acquisition method" patented technology

The invention relates to a knowledge acquisition method of the fault diagnosis knowledge base of a turn-milling combined machine tool. The method comprises the following steps: 1. obtaining the fault history information and real-time monitoring information of the turn-milling combined machine tool; 2. performing signal processing, fault characteristic information extraction and data discretization to the fault history information and real-time monitoring information in turn, establishing a knowledge decision table of fault diagnosis by using fault characteristic attribute as condition attribute and fault pattern as decision attribute; 3. based on the established knowledge decision table, performing the reduction based on granule computing of fault characteristic attribute and the reduction of attribute value; and 4. using the confidence and coverage of the rules as evaluation indexes to measure and evaluate the reduced decision. The invention can obtain reduced and effective knowledge and rules for fault diagnosis from a great deal of on-line and off-line data so as to provide effective guarantee for fault diagnosis. The invention can be widely used for the fault diagnosis of various numerical control machine tools.

The invention discloses a method for obtaining irregular knowledge used for constructing a mechanical product design knowledge base. Aiming at the requirements for knowledge processing and knowledge base system development in the mechanical product design field, the invention defines the irregular knowledge, discloses a computation module for dividing irregular knowledge granularity by adopting granularity calculation principle, studies mechanical product design irregular knowledge base structure system and basic format, discloses an irregular knowledge base display method based on metadata, and invents a method for obtaining semantic matching, irregular knowledge base in serial data source, and multi-mode irregular knowledge based on irregular example knowledge obtaining of cluster analysis; and on the basis, designs a system frame and a prototype software system for mechanical product design knowledge base system construction and application. The invention can be used to solve the technical problem of treating irregular knowledge in an information processing system such as CAD (computer-aided design), CAM (computer-aided manufacturing), CAE (computer-aided engineering) or PDM (products data management) in manufacturing industry, so as to satisfy the requirements for the deepening development of the manufacturing industry information project technology.

The invention discloses a method for diagnosing engine integrated faults based on a fuzzy semanteme network. The method is characterized by comprising the following steps: establishing an embedded platform based on an ARM embedded microprocessor and a data acquiring module based on a field programmable gate array (FPGA), and establishing a fault knowledge acquiring method based on a fuzzy semanteme network model, a case-based reasoning subsystem and a guided interactive reasoning subsystem on the embedded platform, wherein the fault knowledge acquiring method based on a fuzzy semanteme networkmodel constructs an engine fault knowledge base; the case-based reasoning subsystem is used for quickly diagnosing frequent faults; and the guided interactive reasoning subsystem adopts a man-machineinteraction mode to carry out fuzzy searching and reasoning and can carry out deep diagnosis of the faults. After the data acquiring module automatically detects a fault symptom or a user inputs a fault symptom, an subsystem can be started independently, and two subsystems can also be started and operated together. Each subsystem can realize fault diagnosis independently, and diagnosis results oftwo subsystems can also be combined to carry out integrated diagnosis so as to improve the accuracy of the diagnosis.

A method of knowledge acquisition for entering data into a computer database in a readily computable format, comprises eliciting a set of data statements using an analysis structure determined from an underlying mathematical base, combined with a genuine falsificationist epistemology, entering elicited data statements into a database structured as a plurality of data entries, each data entry comprising a label, a said data statement and a default value, and a root node indicator; storing a relationship between said data entries as a connectivity lattice.

The invention provides an expert system knowledge acquisition method based on Weka software. The method comprises the followings steps of: creating a knowledge library; extracting rules from samples by using the Weka software, and verifying the rules; and storing the verified rules into the expert system knowledge library for diagnosis of an expert system. By the method, the knowledge rules of the expert system can be automatically acquired, so that the expert system knowledge library is updated in real time; and knowledge is acquired reliably, the method is high in practicality, and the rules can be extracted by selecting appropriate data mining methods for various data.

The invention discloses an academic knowledge acquisition method and an academic knowledge acquisition system based on knowledge network nodes. The method includes the following steps: academic knowledge carriers are acquired and indexed, and knowledge object data in academic knowledge are extracted; the knowledge object data are stored and indexed; according to the types of the indexed knowledge object data, a knowledge network node relation model is created; according to the data in a physical storage, knowledge network nodes are created; the correlated knowledge network nodes are connected. The system comprises an acquisitor, an indexing device, a data storage and indexing device and a connection establishment module. The method and system provided by the invention can traverse the entire knowledge network from any node through the correlation characteristic between the nodes, consequently, the problem that a retrieval system can produce information islands in terms of knowledge acquisition is solved, and an academic knowledge acquisition method and an academic knowledge acquisition system which can provide comprehensive information, are interconnected and are traversable are provided for readers.

The present invention discloses a secret information detecting system based on an expert system method. The system comprises an image collecting engine, a detector, a report generating module, an image database, a knowledge base and a knowledge acquiring module, wherein the image collecting engine is used for quickly collecting the digital images with different formats from the network and providing the data to a detector. The detector determines whether information is concealed in the image which is collected by the image collecting engine or is in the image database according to the knowledge in the knowledge base, and then generates a determining report in a determining report module. The information detecting method provided by the invention can fully use the information of inserted information characteristic, image characteristic, concealing tool, algorithm characteristic, etc. Not only the detectable range is enlarged, but also the detection precision is increased. The knowledge acquiring method based on a rough set is introduced into the field of concealed information detection thereby extracting valuable information from large numbers of experimental samples. The secret information detecting system of the invention has extendibility.

The invention discloses a medicine knowledge base system based on data excavation in the technical field of data excavation; the system comprises a domain knowledge base indexing layer; the domain knowledge base indexing layer is connected with a user interface display layer through serial port communication; a result output unit is electrically output and connected to the user interface to display; the knowledge base system supporting the data excavation is clear in organization level, and can manage many types of domain knowledge; through effective knowledge acquiring method and technology, the knowledge and experience of experts in medicine domain can be acquired; the medicine domain knowledge base is structured in the knowledge engineering and easy to operate and use; the expert system is applied to make it possess of a framework with separated knowledge and control procedure, and is featured by elasticity and easy expansion and maintenance; the good man-machine interactive interface can be applied to every intensive knowledge link in the whole automatic system, so as to assist people's brain to make decisions.

The invention discloses a transformer state knowledge acquisition method based on a genetic algorithm and an attribute support degree and equipment. According to the method, a decision-making table isestablished through transformer fault cases; the state knowledge under the specific state abnormal information of a transformer is solved by combining a genetic algorithm and an attribute support degree and the transformer state evolution rule is discovered, so that the calculation complexity is greatly reduced by being compared with the traditional method, and the condition attribute most related to the transformer fault type in the decision table can be efficiently extracted. The method can overcome the defects in the prior art, can be widely used for knowing the transformer state development rule, achieving transformer state evaluation, guiding transformer state monitoring and making differentiated operation and maintenance strategies; and the method is simple, efficient and beneficialto improving the operation safety of the power transformer.

The invention discloses a crowdsourcing-based knowledge graph construction method and system. The method comprises the following steps: S1, creating a graph space; S2, creating a user mode and carrying out mode matching and fusion; S3, uploading resources; S4, constructing a map. The system comprises a graph space module, a user mode module, a resource module, a graph construction module and a graph database container cluster management module. According to the knowledge acquisition method based on crowdsourcing, a user can provide resources according to own requirements and add the resourcesinto the knowledge graph, and the problem of resource acquisition of the knowledge graph is solved. According to the method, an OWL-based mode is provided for the description of heterogeneous resources, and the isomerism of the heterogeneous resources is controlled from a meta-model, so the knowledge graph constructed by the method can be fused more easily. The present invention implements an operating interface for knowledge applications that provides search and reasoning capabilities for knowledge graph.

The invention discloses a robot school and a robot knowledge acquisition method thereof. The robot school is applied to a cloud system and is characterized in that the cloud system sends a service command to robots in the robot school, the robots in the robot school receive and execute the service command, meanwhile, the number of successful services and the number of failure services are recorded, and the numbers are fed back to the robot school. The robot school comprises a robot level appraisal module, a knowledge creation module, a capacity certification module, a service feedback module T and a scrap certification module. The robot school can be used in large-scale and assembly-line robot knowledge acquisition tasks, the knowledge acquisition efficiency of the robots is improved, unnecessary robot hardware expenses can be saved, and the flexibility of the robots for acquiring knowledge is improved.

The invention discloses a knowledge acquisition method and device, electronic equipment and a readable storage medium, and relates to the field of artificial intelligence such as knowledge maps, natural language processing, deep learning and intelligent medical treatment, and the method can comprise the steps: determining a recognition mode for SPO knowledge of a to-be-extracted type, wherein the recognition mode comprises the recognition sequence of S, P and O, and identification modes respectively corresponding to S, P and O; extracting the SPO knowledge of the type from the text serving as the data source according to the determined recognition mode. According to the scheme, manpower and time cost can be saved.

The invention relates to a blockchain-based knowledge acquisition method, a blockchain-based knowledge reading method, device and system, equipment and a medium, relates to the technical field of blockchain application, and can be applied to an application scenario in which a blockchain technology is adopted to record knowledge transaction conditions. The knowledge acquisition method based on theblock chain comprises steps of generating a knowledge acquisition form in response to a knowledge acquisition request of a first user; obtaining the associated user information determined by the blockchain node according to the knowledge obtaining form, and generating a knowledge obtaining page according to the associated user information; in response to an acquisition operation for the knowledgeacquisition page, generating and submitting a knowledge pull form; and obtaining an operation result of updating the associated user information by the blockchain node according to the knowledge pulling form, and endowing the first user with knowledge viewing permission. According to the method, knowledge transaction or other operation conditions can be recorded by adopting a block chain technology, and credibility of recorded data is ensured.

The invention provides a malignant tumor diagnosis and treatment knowledge obtaining method and device, and the method comprises the steps: receiving the literature range selection information of a user side, and screening a target literature from a breast cancer literature library according to the literature range selection information; wherein the literature range selection information comprises literature selection information and literature content selection information; randomly selecting a preset number of literatures from the target literatures to form a training corpus, and performing model training according to the training corpus to obtain a knowledge extraction model; performing knowledge extraction on the target literature through the knowledge extraction model to obtain knowledge information to be processed; and performing standardized word matching on the to-be-processed knowledge information according to a preset knowledge dictionary, and performing knowledge arrangement on the matched standardized words to obtain standardized knowledge.

The invention belongs to the technical field of digital information transmission, and discloses a wide-area health knowledge acquisition method and system under a new crown epidemic situation background, and the system is composed of a medical management mechanism HCO and N data collection areas. Each data collection area is composed of a local data manager LDM integrated with an edge AI and a plurality of citizens wearing wearable devices; wherein the LDM i manages Mi citizens equipped with the wearable devices, and the LDM i represents a citizen set. According to the wide-area health knowledge acquisition method, a knowledge generation process and a knowledge transaction process are considered at the same time, and a closed expression of a knowledge transaction mechanism is deduced under the condition of incomplete information. According to the incentive mechanism, economic interaction among the entities is deeply analyzed, and the optimal strategy of each entity is explicitly given. In addition, the correctness of a theoretical result is verified through a large number of numerical simulation results.

The invention discloses a design rational knowledge acquisition method and device and a computer storage medium. The method comprises the steps of determining an extraction object of design rational knowledge; extracting sentences containing the design rational knowledge in the extraction object of the design rational knowledge; identifying design rational information in the sentence containing the design rational knowledge; and expressing the extracted design rational information as a knowledge graph structure. By the adoption of the scheme, reference or inspiration can be provided for innovative design of designers, and knowledge reuse of information resources is facilitated.

The invention relates to the field of knowledge representation and acquisition, discloses a text data-oriented online social platform multivariate knowledge acquisition method, and solves the problems that a knowledge acquisition method in the traditional technology lacks the capability of representing multivariate knowledge, and the acquired knowledge is incomplete and inaccurate. The method comprises the following steps: firstly, constructing a basic composition structure and knowledge attribute tags of multivariate knowledge suitable for related knowledge representation of an online social platform, and then automatically extracting knowledge entities and relationships from text data speaking by a user; and performing data mining on the text data, further extracting hidden knowledge and association from the obtained multivariate knowledge, and finally completing comprehensive acquisition of the multivariate knowledge of the social platform. According to the method provided by the invention, by adopting a multivariate knowledge structure and fully mining potential knowledge and association in the text data on the social platform, the integrity and the accuracy of the obtained knowledge are improved, and the method can be used for recommending social platform contents, commodities and the like.

The embodiment of the invention discloses a knowledge acquisition method and device for spacecraft overall design and a storage medium. The method comprises the steps: dividing design data formed in the overall design process of a spacecraft into structured spacecraft design data and unstructured spacecraft design data; mapping the structured spacecraft design data into resource description framework RDF format data by utilizing a set strategy from a database to a resource description framework D2R; constructing the unstructured spacecraft design data into RDF format data through a set information extraction and man-machine interaction strategy; and based on the RDF format data corresponding to the structured spacecraft design data and the RDF format data corresponding to the unstructuredspacecraft design data, constructing a knowledge base oriented to the overall design of the spacecraft.