34results about How to "To achieve a unified description" patented technology

The invention relates to the field of computer assistance, and provides a false tooth restoration scheme design method and system based on data decision. The method comprises the following steps: S1,establishing a dentition condition database and a false tooth restoration scheme database; S2, detecting the conditions of all the current teeth to obtain detected current dentition data; S3, analyzing the data of the flag bits of each tooth number in sequence according to the collected current dentition data, and analyzing all the flag bits to obtain a preliminary denture restoration numbering scheme; And S4, further determining whether secondary data adjustment and scheme alternative need to be carried out or not, and obtaining a final false tooth repair design scheme. According to the technical scheme provided by the invention, the digital logic basis of false tooth design is favorably provided from the perspective of data analysis and decision making; A scheme for automatically designing denture restoration is established through a data decision method, a pre-restoration recommendation scheme is automatically given, clinicians are assisted in scheme making and correction, and the workload of large hospital doctors is reduced.

The invention discloses an intelligent substation intrusion scene restoration method and system based on spatio-temporal similarity matching. The method comprises the following steps: obtaining alarminformation of each alarm device of the intelligent substation; classification of alarm information; determining the alarm correlation relationship between alarm devices, and establishing the alarm similarity matrix between alarm devices; the causality matrix between alarm devices is established. Calculating the attack propagation probability between any two alarm devices, and determining the final attack propagation path between the alarm devices; according to the pre-established attack characteristics database of known attack types, the attack characteristics of known attack types are obtained. The alert information of each node in the attack scenario recovered from the final attack propagation path between the alert devices and the attack characteristics of the known attack types are analyzed for attack support respectively. The attack type with the most alarm devices in each node in the attack scenario is determined as the attack type of the current attack scenario.

The invention belongs to the technical field of industrial intellectualization, and discloses an industrial digital twinning virtual and real data fusion method, system, device and terminal, and the industrial digital twinning virtual and real data fusion method comprises the steps: obtaining virtual and real data in an industrial production process; constructing a global ontology and a local ontology according to an ontology description language and an ontology construction principle; carrying out semantic feature extraction on industrial digital twinborn structured and unstructured virtual and real data; realizing mapping from the local ontology to the global ontology based on a similarity algorithm; and completing fusion of industrial digital twinning virtual and real data based on the fusion rule. The industrial digital twinning virtual-real data fusion method provides a feasible solution for fusion of industrial digital twinning virtual-real data, has higher applicability, can realize the value of the virtual-real data, promotes sharing of the virtual-real data, reduces repeated use of the virtual-real data, and the industrial digital twinning can make full use of the fused data to carry out accurate prediction and reliable decision making.

The invention discloses a method for establishing a data flow integration model by using UML and XML mapping. The method comprises the following steps: S1, generating a standard UML meta model; S2, generating a UML meta model containing an XSD stereotype; S3, carrying out UML-to-XML forwarding mapping on the UML meta model containing the XSD stereotype so as to generate a data flow XML integration model, judging whether requirements of modeling are met or not, if the requirements of modeling are met, ending the flow, or else continuing the operation; S4, carrying out XML-to-UML backward mapping on the data flow XML integration model so as to generate another UML meta model containing an XSD stereotype; S5, modifying and adjusting the UML meta model containing the XSD stereotype generated from backward mapping, and turning to S3. By adopting the technical scheme of the invention, united description of data flow and workflow is achieved, and the model design quality can be improved.

The invention discloses a network intelligent operation and maintenance knowledge graph collaborative construction and sharing method. The method comprises the following steps: constructing a high-dimensional space unified representation model; constructing a high-dimensional collaborative model of the network operation and maintenance knowledge graph; in the high-dimensional collaborative model of the network operation and maintenance knowledge graph, inputting the features of the entities into a high-dimensional space multi-factor weighting distance measurement formula, and outputting an entity semantic similarity set; traversing the entity semantic similarity set, and re-identifying the entity relationship of the graph by using an incremental graph identification operator to form a full-amount knowledge graph comprising all increments; and generating a graph abstract based on the full-amount knowledge graph. According to the method, the communication network operation and maintenance knowledge graph is constructed by adopting a cooperative processing and credible sharing method, and formalized and unified description of network operation and maintenance technologies, experience and processes is realized, so that a foundation is laid for intelligent and automatic evolution of operation and maintenance of the communication network. The invention further provides a corresponding network intelligent operation and maintenance knowledge graph collaborative construction and sharing device.

The invention discloses a high-spectral image pseudo color visualization method based on joint information and belongs to the remote sensing image processing field. The method comprises the followingsteps: 1) calculating covariance matrixes of all wavebands of a high-spectral image; 2) among a high-spectral waveband set, finding all combinations of three wavebands; 3) for each combination, extracting, from the covariance matrixes, corresponding elements to form a new covariance matrix; 4) for the covariance matrix of each combination, calculating joint information; 5) searching fora waveband combination with the maximum joint information, the combination being a high-spectral pseudo color visualized synthesis waveband combination; and 6) calculating variance values of all wavebands of the optimal waveband combination, and performing order descending in accordance with the variance values, thecorresponding visualized synthesis waveband sequentially being a red waveband, a green waveband and a blue waveband. Through definition of joint combination of the high-spectral image, unified description of information content and correlation of high-spectral wave bands is realized and the high-spectral image pseudo color visualization quality is improved.

The invention discloses a microscopic vision system microscopic depth of field digital expansion method and system based on a computer microscopic vision tomography technology. The microscopic visionsystem microscopic depth of field digital expansion method based on a computer microscopic vision tomography technology includes the steps: obtaining a tomographic image through the computer micro-visual tomography technique, and acquiring a three-dimensional tomographic field of view space corresponding to the tomographic image by combining the tomographic image with the step size of a precise positioning system; reconstructing the three-dimensional tomographic space digitized information by means of rasterization, digitization and other technologies; and finally, acquiring a digital microscopic field of view space with an expanded depth of field extension according to all the obtained digitized information of the tomographic space and tomographic space positional information, and then realizing expansion of the depth of field. The microscopic vision system microscopic depth of field digital expansion method based on a computer microscopic vision tomography technology overcomes the contradiction between high resolution and large depth of field, breaks through the limitation of being unable to obtain the ultra depth of field spatial information accurately because of the small depthof field of the microscopic vision system, and represents the microscopic vision field spatial information of the a micro assembly system with a large depth of field by means of the digitized information, thus visually and vividly representing the three-dimensional object information of the microscopic vision field space with the super depth of field.

A high-speed electrified railway traction motor multi-fault modeling and diagnosis method comprises the following steps: (1) dynamically analyzing multiple faults of the traction motor, establishing aleast square model structure for describing multi-fault characteristics near multiple working points of a system, and realizing effective fusion of a mechanism model and a data driving model; (2) constructing a multi-fault separation algorithm based on class imbalance learning to optimize a fault feature set, and obtaining a decoupled fault class set in an unknown fault parameter space of the traction motor; and (3) adopting a multi-model-based fault parameter estimation technology to solve the problems of estimation and convergence of multi-fault time-varying parameters, and designing a two-stage adaptive multi-model diagnosis system to realize quantitative analysis of stability and alarm levels of multi-fault diagnosis. Aiming at the characteristics of time varying, adjacent coupling, inconsistent distribution and the like of multiple faults, the identification precision and the diagnosis efficiency can be effectively improved, and the blindness of traditional fault diagnosis is avoided.

The invention discloses a marketing and distribution integration-oriented power distribution network topology construction method and a system, and the method comprises the steps: extracting data froma power distribution network professional and marketing professional system according to the types of topological elements of a power distribution network, and forming data elements corresponding toall data types; constructing a power distribution network topological structure based on the data elements corresponding to the data categories; wherein the element categories comprise a distributionnetwork basic element, an electrical basic element and an electrical realization element, unified description of marketing and distribution data is realized, a data description method for rapidly extracting graphs is provided, and effective data support is provided for marketing and distribution information integration.

The invention relates to an equivalent power source-based unified multi-energy power system coupling model building method. A unified coupling model of various heterogeneous energy generation units and power plants and stations is built by adopting a power source equivalence principle. According to the method, each heterogeneous energy generation unit is equivalent to a voltage source and a controllable resistor connected in series to form a unified generation model; various heterogeneous energy power plants and stations are equivalent to controllable current sources separately; an energy storage device is equivalent to a capacitor; and coupling grid connection is carried out to form a unified multi-energy power system coupling model. The installed capacity of the power plants and stationscan be adjusted through control coefficients of the controllable current sources. The built unified multi-energy power system coupling model is suitable for static energy flow analysis of a multi-energy power system and is also suitable for dynamic process analysis, unified description of multiple time scales of the multi-energy power system is achieved, and a theoretical basis is provided for coordinated control and optimal scheduling of the multi-energy power system.

The invention discloses a method for describing traffic network information. The method for describing traffic network information comprises the following steps: constructing a basic object set for describing the traffic entity information according to data characteristics of traffic entities contained in a traffic network scene, wherein the basic object set comprises a plurality of basic objects;constructing a derivative object set for describing the traffic entity information in the traffic network scene by taking the constructed basic object as a basis according to traffic entities contained in the traffic network scene, wherein the derivative object set comprises a plurality of derivative objects. By adopting the method provided by the invention, more elastic description of the traffic network information is realized, and more requirements on the traffic network information in reality are met, so that a unified and flexible description mode is provided for various road network entities in a traffic network scene, and unified description of numerous and complex road networks is realized.