49 results about "Concept model" patented technology

An electronic method for parametric modeling of a conceptual vehicle design. The method includes (a) receiving dimensional input including one or more vehicle level parameters and one or more component level parameters; (b) receiving geometrical input including one or more non-dimensional design inputs; and (c) generating a parametric concept model based on dimensional input and the geometrical input.

The invention provides a 3D (three-dimensional) printing based processing technique of an automobile styling concept model and belongs to the field of automobile styling concept design. The technique includes the steps of 1, performing three-dimensional model reconstruction based on an image/draft; 2, performing 3D printing oriented model structural optimization; 3, performing 3D printing oriented solid modeling; 4, generating a support structure; and 5, performing 3D printing. The technique has the advantages that quick expression of an automobile solid model from an automobile image/draft is achieved, model processing cost is lowered at the premise of quickly implementing a personalized solid model, processing efficiency is improved, operating is simple, and the technique is reliably applied to the automobile concept design phase for automobile styling engineers.

The invention discloses a bilinear feature fused fine-grained concept model and a learning method. The method comprises the following steps: carrying out external product, pooling and other methods onmulti-layer features in a fine-grained image extracted by a deep convolutional network model vgg16 to obtain bilinear feature descriptors with discriminative local features, fusing the descriptors, and fusing the multi-window features extracted by the feature graphs fused with VGG-16conv5_1 path, the conv5_2 path and the conv5_3 path with bilinear features extracted by the VGG-16conv5_2 path andthe conv5_3 path and sending the data to a full connection layer, and then connecting the data with a softmax multi-class classifier to obtain a classification result. In the data preprocessing stage,input image data are preprocessed, the image mean value is subtracted to eliminate noise, and data enhancement means such as image random clipping and image horizontal overturning are effectively utilized. Under the condition that only the class information of the image level needs to be provided, the classification precision is improved through fine-grained image multi-layer feature fusion.

The invention discloses a volcanic zone fault sealing comprehensive evaluation method specifically based on Karamay oilfield volcanic rock development area. A volcanic zone fault sealing forming mechanism is mainly lithologic opposition and diagenesis. A lithologic opposition characteristic can be reflected in the aspect of the difference between the density of rock stratums on both sides. The diagenesis of a fault zone is affected by cross section pressure, closeness and the like. Through the filling of argillaceous debris and the injection of late fluid, the fault zone is strongly closed. According to the invention, a concept model of fault plane density difference is established; a variety of parameters (cross section normal stress, closeness index and the like) are combined to evaluate diagenesis closeness and docking closeness; closeness influence factors are induced; a weight factor is proposed; through a weight coefficient, a mathematical model is built to acquire a comprehensive factor; and the fault sealing is comprehensively evaluated. According to the invention, a variety of geological factors are considered; accurate requirements of fault sealing quantitative evaluation can be met; and the method can be widely applied to the field of oil and gas resource geological exploration and development evaluation.

The invention discloses an ontology-based visual concept modeling method. The method comprises: firstly, constructing a set of ontology-based concept modeling specification, which points out the basic elements of the concept model, constructs a meta model of the concept model body, and formally describes the entities, attributes and relationships of the concept model body; expanding the attribute definition of the concept to support the modeling elements of concept-type attribute, composite attribute and so on; and constructing a concept modeling tool for model displaying based on the concept model body, visual editing, attribute and relation displaying and multi-view supporting. The method provided by the invention can realize quick visual construction of the concept model, and can establish a set of standard public concept set to realize accurate and consistent recognition of the concept in a field as well as the common understanding and standard representation of the concept among different fields, thereby guiding the design, development and use of each kind of information system.

The invention discloses an algorithm for realizing an indoor and outdoor cross-domain navigation function based on an indoor electronic map. The algorithm comprises field setting of a cross-layer road network, field setting of cross-layer nodes and cross-domain spatial route selection, wherein the field setting of the cross-layer road network comprises parameter settings of initiative codes of line segments, terminating codes of the line segments, positive lengths of the line segments and negative lengths of the line segments. According to the technical scheme disclosed by the invention, an indoor map service system is developed and can provide a map layer, route planning and PIO (Point Of Interest) search service for a client user. A concept model of an indoor map is designed by analyzing a space structure of an indoor environment of a large-scale building; on the basis, an organization structure and a transforming process of the indoor map are optimized by combining with an access requirement of indoor map data, and a converting process from a vector map to a data map is realized; data initialization of the same building is finished by a geographic coordinate system in a storey manner. The algorithm facilitates the calling during route planning.

The invention relates to a method for advanced forecast of a tunnel water inflow position. The method comprises the following steps: firstly measuring the flow rate and the flow direction of underground water at any space point in an underground water seepage field by utilizing a single well isotope tracer method, then establishing a concept model, deducing the rough water inflow position and the water inflow through mathematics deduction, finally performing local temperature measurement and drilling and obtaining the accurate water inflow position according to the temperature effect of the underground water on a rock body. The method provided by the invention has the benefits that the accuracy is high, the workload is reduced, and the effect of human factors is avoided; meanwhile, the method is not affected by tunnel construction and also has no effect on the tunnel construction, and the tunnel forecast efficiency is improved.

The invention discloses a metal powder 3D forming method through multi-nozzle collaborative control. The forming method comprises the following steps that an adhesive is sprayed through two nozzles of a 3D printer, and metal powder in a forming chamber is subjected to layer-by-layer superposition and bonding forming to obtain a needed metal part blank body; the part blank body is subjected to an infiltration treatment, then the part blank body is degreased through a solvent to remove the adhesive inside the part blank body, gaps and air holes are formed inside the part blank body after the adhesive is removed, and then the gaps and the air holes are further removed through the infiltration treatment process, and therefore the gaps and the air holes are filled; then the part blank body is placed in a vacuum sintering furnace for sintering to gradually remove the residual gaps and air holes inside the part blank body; and the part is made to become dense from loose, so that the part with required density and high strength are obtained. According to the forming method, the technical defect that the strength of the part machined in the prior art is low, only a concept model can be made, and a functional part can not be made is overcome.

The invention discloses a method for comprehensively evaluating a regional abrupt environmental pollution accident risk. The method comprises the following steps: building a multilayer evaluation index system for the regional environmental pollution accident risk; building a risk source dangerousness quantitative model, a receptor sensitivity quantitative model and a restoring force quantitative model by using an objective weighting method, and acquiring risk source dangerousness indexes, receptor sensitivity indexes and restoring force indexes of different study units in a study region; building an environmental risk receptor vulnerability evaluation concept model and a regional abrupt environmental pollution accident comprehensive risk evaluation concept model, and calculating an environmental risk receptor vulnerability index and a regional environmental pollution accident comprehensive risk index according to the concept models, the risk source dangerousness indexes, the receptor sensitivity indexes and the restoring force indexes; and hierarchically clustering comprehensive environmental risk profiles of evaluation units. Through adoption of the method, a scientific theoretical foundation is laid for regional environmental risk comprehensive management, industrial distribution adjustment and optimization, accident emergency and the like. The method has the advantages of high efficiency, low cost, high accuracy and the like.

Interpersonal relationship is a significant field in social network research, and is increasingly attended by many scholars. The word 'connection' is increasingly popular, and the 'connection' has become an indispensable social resource of people. The digital modeling and searching method for personal relationships and events belongs to an application foundation type research field of social computing, and provides support service for establishment and application of a practical digital personal relationship network. The digital modeling and searching method comprises the following steps of: defining an event concept model, and excavating and analyzing the relevant personal relationship of the event concept model based on a method for establishing a relevant role chain, establishing a personal relationship concept model based on a characteristic ternary tree structure, providing a digital system implementation method of the personal relationship concept model, constructing a personal family relationship network, and constructing a personal social relationship network according to personal life cycle event connection; and excavating and computing family culture, family connection relationship, social relationship connected with the family and the connection number and connection degree of the social relationship, comprehensively reflecting the personal connection information, and providing a specific searching method.

The invention relates to a geological disaster prediction system and method based on a porous media fluid-structure interaction model. The geological disaster prediction system and method based on the porous media fluid-structure interaction model comprises the following steps that geological parameters of a geological area to be predicted are collected; according to the geological characteristics and geological parameters of the geological area to be predicted, a hydrogeology concept model is built; according to the geological disaster type to be predicted and the geological characteristics of the area to be predicted, a finite element method is adopted to convert the hydrogeology concept model into a corresponding three-dimensional underground water mathematic model, and the displacement of the geological area to be predicted and the simulation result of distribution situation of stress along with space and time are obtained; the simulation result is output in the mode of image and/or data characters, and the simulation result is used for describing flowing of water among gap media and the sedimentation situation of underground soil; the occurrence time, the geological range and the forming mechanism of the geological disaster are predicted, and a solution scheme is given. The geological disaster predication system and method based on the porous media fluid-structure interaction model can predict geological disasters such as land subsidence, foundation settlement, landslide, debris flow, operation speed is high and accuracy is good.

The invention relates to an underground water pollution stratification evaluation method based on a specific polluted site. The method comprises steps of dividing evaluation into three levels through a pollution concept model and according to a relative position of a pollution source and an environment sensitive point, and starting with an area where a pollution source is furthest distant from the environment sensitive point, determining a prediction model of each level, collecting model parameters and determining a model parameter acquiring method, starting with the first level evaluation as a program evaluation point to evaluate, comparing target pollutant prediction concentration of each level evaluation terminal point and an evaluation standard, entering a higher level evaluation if the prediction concentration exceeds the evaluation standard, and otherwise ceasing the evaluation. Evaluation is divided into three levels; an evaluation terminal, a target pollutant concentration prediction model and evaluation standard of each level are clarified, so evaluation work for corresponding programs can be well guided and developed; the evaluation method is not only suitable for underground water pollution evaluation, but also suitable for evaluation of pollution to underground water within a site by unsaturation soil pollution.

The invention belongs to the field of geological prospecting technology, specifically discloses a method of predicting a prospecting model based on machine learning. The method establishes a unified and easy-to-distinguish prospecting concept model database; analyzes and summarizes existing domestic and foreign prospecting models and ore-controlling elements and data materials of a study area based in the prospecting concept model database by machine learning, and constructs a prospecting prediction model; after determines the ore-controlling elements in the prospecting prediction model, improves data foundation of the prospecting concept model according to a data material list provided about the range of the study area, and recommends an algorithm combination suitable for the ore-controlling elements according to algorithms summarized from a cube quantitative predicting system; finally, based on the prospecting concept prediction model, realizes a quantitative, positioned and probabilistic predictive evaluation. The invention can quickly establish the prospecting model of a study area, and the prospecting model is more comprehensive and objective and more in line with the actual situation.

The invention discloses an airborne system digital design verification system and method and belongs to the technical field of system engineering. The system disclosed by the invention comprises a top-layer digital design system and a domain engineering layered digital design system, wherein the top-layer digital design system comprises a demand analysis module, a top-layer analysis design module and a top-layer model test and verification module; and the domain engineering layered design system comprises a single-domain analysis design module, a single-domain test and verification module, multi-domain collaborative design module and a multi-domain model simulation verification module. The method disclosed by the invention comprises the following two steps: concept model machine design of an airborne system and virtual model machine design of the airborne system, wherein the former step comprises the following three sub-steps: demand analysis of the airborne system, system analysis of the airborne system and system design of the airborne system. The system and method disclosed by the invention can be used for supporting the digital analysis, design and verification of the airborne system, realizing 'design and verification first, implementation later' of the airborne system, avoiding the problems of long period, high cost, great risk and the like caused by the 'design and implementation first, verification later' of the traditional design method.

The invention relates to a runtime modeling and executing method for a smart home context awareness service. The method comprises the steps of establishing a smart home situation awareness service knowledge graph concept model, namely a unified model for describing abstract elements including concepts and relations in the smart home scene; providing a smart home situation awareness service knowledge graph instance model runtime modeling method, wherein the invention discloses the smart home situation awareness service knowledge graph instance model represents the context knowledge of the smarthome context awareness service by the concept instance and the relationship instance; constructing runtime models of different types of concept instances and relationship instances, and establishinga bidirectional synchronization mechanism of the knowledge graph instance model of the smart home context awareness service and the smart home scene. The invention provides an intelligent home situation awareness service execution method based on knowledge reasoning. According to the invention, the difficulty and complexity of developing the smart home context awareness service can be greatly reduced.

The invention relates to a high-level radioactive waste geological disposal safety evaluation method. The method comprises steps that an evaluation target, safety requirements and performance evaluation rules are determined; data acquisition and disposal system description are carried out; characteristics, events and a process (FEPs) which possibly influence long-term performance are identified; a disposal system-related factor behavior concept model and a mathematic model are established and tested; related scene identification and description are carried out; an approach possibly making radionuclide flow from a disposal repository to human environments is confirmed; the established concept model and the established mathematic model are evaluated; evaluation reliability is analyzed; an evaluation result is compared with rules and safety demands to determine whether the safety target is satisfied. The method is advantaged in that a systematic method is firstly proposed, and safety evaluation work development is effectively guided.

A verification supporting apparatus includes a concept model generating unit, a function model verifying unit, a motion model verifying unit, and an ICA model verifying unit. The concept model generating unit generates a concept model aiming at a requirement specification of a customer to eliminate an error or misunderstanding of the specification at the initial stage of design. The function model verifying unit verifies a concurrent and parallel function model, to verify appropriateness of function module division and correctness of concurrence and parallelism. The motion model verifying unit verifies a motion model, to verify whether the design of architecture is appropriate and whether performance requirements are satisfied. The ICA model verifying unit verifies correctness of interface design.

The invention discloses a random walk particle tracking method used for numerical simulation of solute transport in a single fracture. The method comprises the steps of building a fracture medium concept model, and discretizing a fracture structure into a two-dimensional computing grid, wherein attributes of the computing grid include a gap width; building a fracture medium underground water flow mathematic model, performing computing to obtain simulated underground water flow field distribution, and performing comparative verification with an experimental observation value to obtain a simulated fracture structure close to real fracture distribution; and for the simulated fracture structure and the corresponding simulated underground water flow field distribution, simulating solute transport in a single fracture medium by using the random walk particle tracking method to obtain solute distribution.

The invention discloses a method for converting a relational database into an Neo4j model and a data migration method. The model conversion method includes the followings steps: S1, extracting a concept model of the relational database; S2, screening out a table to be converted; S3, establishing an Neo4j concept model conversion frame; S4, searching a table having a main key consisting of two foreign keys, and converting the table into a relationship entity having attributes; S5, converting the rest of tables which are not be converted into label entities of nodes in the Neo4j concept model; and S6, converting all the other main-foreign relationships in the step S4 into relationship entities without attributes in the Neo4j concept model, except the searched table-related main-foreign relationship. The model conversion method can migrate data from the relational database into the Neo4j model, and allows data migration to be more accurate and easy to operate.

The present invention discloses a test method of an influence mechanism of the city underlying surface aerosol to a thunder and lightning process. The method comprises the steps of utilizing the weather and cloud radars to monitor the severe convection weather, observing the particulate matter distribution characteristic by an atmosphere particulate matter particle size spectrometer and a laser radar, at the same time, utilizing a thunder and lightning positioning system to observe a thunder and lightning process during a weather process; establishing a concept model of the interaction of the aerosol-cloud condensation nuclei and the ice nucleus-thunder and lightning process by the relationship between the city and upstream and downstream area aerosol distribution and the thunder and lightning activity characteristic parameters; utilizing an improved three dimensional convective cloud catalysis electric coupling mode to carry out the numerical value simulation on the mechanism that the aerosol in a city underlying surface severe convection weather influences the thunder and lightning process. According to the present invention, by improving the three dimensional convective cloud catalysis electric coupling mode, and carrying out the numerical value simulation on the established concept model, the influence mechanism of the city underlying surface aerosol to the thunder and lightning activity is disclosed.

The invention discloses a simulation calculation method and device based on data and model mixing, wherein the method comprises the following steps of carrying out the generalization of a target system, forming a descriptive frame of the target system, specifying the uncertain elements of the target system, and building a plurality of concept models according to the descriptive frame and the uncertain elements; establishing a plurality of computer models according to the plurality of concept models, assigning a parameter and a variable value of each computer model, and exploring to obtain a plurality of prediction results of the target system according to the plurality of computer models and the parameter and the variable value of each computer model; and comparing the prediction results and the current observation data of the real system to obtain a deviation between the calculation system and the real system, and driving the calculation system and the real system to evolve jointly toobtain a simulation calculation result. According to the method, a modeling mechanism combining the data and model hybrid driving can improve the flexibility of a simulation system, and greatly enhance the adaptability to the real system changes.

The invention relates to the technical field of cloud native platform services, in particular to a field demand modeling method and device for driving an open ecological cloud ERP, and the method comprises the steps: obtaining basic terms, and extracting fields and themes from a field knowledge base; according to the field and the theme, establishing a bidirectional conversion relation from a conceptual model to a business model, from the business model to a service model and from the service model to a data model; acquiring a data type of a business model, and establishing a conversion relation from the business model to the data model; and determining a target platform, converting the service model into a front-end model, a rear-end model and a process model, and converting the data model into a database corresponding to the platform, thereby solving the problems existing in a traditional ERP system, breaking the barrier between enterprises, and enabling the ERP system to enter a more open and interconnected ecological system.