81results about How to "Realize modeling" patented technology

The invention provides a substation integrated information processing system realizing method. The method comprises the steps that A data acquisition and acquisition storage are carried out, namely an acquisition adapter carries out real-time acquisition, timing acquisition, trigger acquisition and manual acquisition; B data integration is carried out, namely data of different sources, formats and quality are centralized into a unified data environment through a logical or physical method; C data modeling is carried out; and D data service is carried out, namely upper application open data access is supported through WebService, an API interface or a COM interface. According to the step of C, broad measuring is established; direct relationship between partial broad measuring and primary equipment is established, and partial measuring is associated with the primary equipment through secondary equipment; a panoramic model is established. According to the invention, the substation integrated information processing system provides data support services for patrol maintenance personnel surveillance, diagnosis, operation and collaborative work application functions, and the underlying infrastructure of a substation informational application system is built.

The invention relates to an early warning method at four-grads of power network operation, and belongs to the automation field of electric power system management. The method includes the following steps: a safe, stable and comprehensive evaluation is carried out at four-grads according to time scales; the first level is to carry out security evaluation to the real time situation of the power network, and to identify the safety level of the power network operation; the second level is to carry out security collation to the power network forecast operation situation in the next 15 minutes (before the power network operation), and to send a security alarm; the third level is to carry out security collation to a power-generating plan and a servicing plan of the next day; and to send an alarm; the fourth level is to carry out security collation to a power-generating plan and a servicing plan of the next week. The early warning method ensures that the power network can run safely and stably through the safety early warning at four time scales, namely real time, pre-operation, previous-day planning and week planning.

The invention relates to the field of numerical simulation of dam grouting in hydraulic and hydro-power engineering, and provides a numerical simulation method of grouting, which is capable of finely simulating geological information and fracture information and is tightly combined with grouting engineering so as to precisely predict the geological information and the fracture information, and a grouting effect. The technical scheme adopted by the invention is as follows: the numerical simulation method of dam grouting capable of coupling the fine geological information and the monitoring information comprises three parts of dynamically monitoring and analyzing a grouting construction process; establishing a three-dimensional fine geologic model for predicting the geological information and the fracture information, establishing data information connection between the model and dynamic monitoring of the grouting construction process, and optimizing along with updating of the monitoring information; lastly, coupling the data information of two parts to complete simulation of the grouting value. The method is mainly applied to hydraulic and hydro-power engineering.

The invention discloses a parameter identification control device and a parameter identification control method of a sensorless permanent magnet synchronous motor, belongs to the technical field of control over the sensorless permanent magnet synchronous motor, and solves the problem that parameters cannot be identified by the conventional permanent magnet synchronous motor positionless control method when a motor operates in a rotating speed range. Parameter identification of the sensorless permanent magnet synchronous motor in each speed stage is realized by improvement of a control policy and a control method. In medium-high-speed stages, input amount is modeled by constructing a circuit, and output parameters are obtained; and in low-speed and zero-speed stages, the accuracy of model output amount is realized according to the accuracy of model input parameters. By the invention, a three-closed-loop control mode is employed, and the working modes of a system are switched according to the size of rotating speed in the parameter identification process. The invention is applicable to parameter identification of the sensorless permanent magnet synchronous motor.

The invention discloses an expert system and method for judging an emergency state of a nuclear power plant. The expert system comprises a real-time monitoring data module, a manual supplemental information module, a database system, a human-computer interface, and a knowledge base system connected with the human-computer interface, wherein the real-time monitoring data module is connected with an industrial data network of the nuclear power plant and an online environment radiation monitoring system, and reads running parameters and environment radiation monitoring data of units of the nuclear power plant in real time; the manual information supplementation module is used for selecting an emergency action level or inputting an emergency action level event; the database system is used for storing real-time monitoring data, manual supplemental information data and historical emergency state judgment data; and the human-computer interface is connected with the database system. Compared with the prior art, the expert system and method has the advantages that knowledge construction and inference basis of emergency state judgment are carried out in combination with an emergency plan IC&EAL matrix table established by the nuclear power plant based on expert knowledge and experience, the expert system for judging the emergency state of the nuclear power plant is realized, and reliable support is provided for emergency decision-making.

The invention provides a viewpoint adjustment-based graph convolution loop network skeleton action recognition method and system, relates to the technical field of action recognition, and solves the problem of recognition accuracy reduction caused by different observation visual angles. Utilizing the trained graph convolution recurrent neural network, and taking the preprocessed data as input to obtain spatiotemporal information of the bone data; a Softmax function is adopted, the obtained space-time information serves as input, and a skeletal movement classification result is obtained; the method integrates the advantages of the graph convolution network and the cyclic network, achieves the modeling of the time and space information of the skeleton data, can further improve the accuracy of movement recognition on the basis of an LSTM network movement recognition method, is universal in behavior recognition based on a skeleton data set, and is wide in application prospect.

The invention discloses a secondary virtual circuit failure locating method based on differential approximate reasoning of a failure area. The secondary virtual circuit failure locating method comprises the following steps: at first, carrying out virtual link and physical link modeling on a process layer network connection of a "net sampling and net hopping " or "point sampling and net hopping" intelligent substation, and carrying out association mapping configuration on a virtual link and a physical link; using a directed graph theory to carry out model abstraction on the process layer network connection of the intelligent substation, and abstracting to obtain a directed connected graph; and then, according to communication link abnormality information sent by a receiving side, when receiving failure of the virtual link, starting a failure diagnosis locating system, judging the on-off state of the virtual link to continuously iterate a difference set of the physical link for loading the connected virtual link and the disconnected virtual link, and locating a physical link failure point position causing the failure of the virtual link. The secondary virtual circuit failure of the intelligent substation is monitored, judged, diagnosed and located to assist an operation and maintenance staff to quickly find the failure, remove the failure and recover the normality, so as to guarantee the safe and reliable operation of a power grid.

This invention relates to one SoC software and hardware division method based on discrete Hopfield neutral network, which comprises the following steps: adopting pattern description method to divide the software and hardware problem into one detail combination optimization problem to introduce SoC division problem new module; then according to the division property, re-defining discrete Hopfield neural network element, energy function, operation equation and parameters; dividing the discrete Hopfield network as division formula on SoC chip functions.

The disclosure provides an ionic rare earth ore floor exploration method, comprising the steps of S1, determining in situ ore-leaching blocks and a floor exploration range according to the rare earthoccurrence conditions and distribution; S2, using mechanical drilling within the floor exploration range to acquire the core and collect physical property parameters of a fully weathered shell, a semi-weathered shell and a bedrock; S3, setting measuring points within the floor exploration range, and using a ground penetrating radar and an anti-interference high-density electrical method to collectdata information of the fully weathered shell, the semi-weathered shell and the bedrock stratum; S4, processing the data information, displaying a section image, dividing stratum horizons of the measuring points and calculating the thickness of each horizon; S5, performing interpretation and inversion on the section image, and combining physical properties of each stratum and the characteristicsof the section image to evaluate the fracture development, compactness and stratum water content of each stratum; and S6, performing 3D modeling based on data results of interpretation and inversion,and displaying the rare earth ore floor in a clear and intuitive manner.

The invention discloses a method for repairing and polishing ceramic parts through laser. The method comprises the steps of S1, cleaning the ceramic part, and assembling the ceramic part to a three-dimensional moving platform; S2, scanning the surface contour of the ceramic part, comparing the scanned contour model with a standard model, and dividing the surface of the ceramic part into an etching region, a polishing region and a sintering region; S3, processing the etching region by using excimer laser equipment; S4, carrying out preset powder feeding on the sintering region, and carrying out sintering repair by using long-wavelength laser; S5, carrying out rough polishing on the sintering region; S6, carrying out overall polishing on the processing area; and S7, scanning the surface roughness of the ceramic part, executing the step S6 if the roughness does not meet the requirement, and completing the excimer laser polishing process if the roughness meets the requirement. The method has the advantages that the controllability is good, the automatic production can be realized conveniently, the precise processing of the micro-area can be realized, any curved surface and any part can be treated, the influence on a ceramic matrix is remarkably reduced, and the precision, the quality and the efficiency of part repairing and polishing are guaranteed.

The invention relates to the technical field of automatic driving automobile testing, in particular to an automatic driving automobile test field test scene design method, which comprises a V2V technology, a V2I technology, a V2P technology and a V2N technology, and is characterized in that the scenes applied by the V2V technology comprise a straight running application scene, a steering application scene, an intersection auxiliary application scene and a lane changing application scene; the application scenes of the V2I technology comprise weather early warning, lane changing speed limiting early warning, red light early warning, human-shaped crosswalk pedestrian early warning and speed limiting construction area early warning. According to the method for designing the test scene of the automatic driving automobile test field, test cases are obtained through virtual simulation modeling, the test cases are derived from functional scenes and logic scenes, scene parameter distribution has good continuity, scene element permutation and combination have diversity, and a standard driving scene data interface is developed by means of a virtual simulation tool chain. Batch import and modeling of the test cases can be achieved, a high-performance simulation server is used for realizing batch simulation testing, and time cost and labor cost are saved.

The invention relates to a motion recognition method and device, a computer readable storage medium and a computer device. The method comprises the steps of obtaining original sub-feature maps of image data of each time sequence frame on different convolution channels through a multi-channel convolution layer; taking each time sequence frame as a target time sequence frame; calculating the motioninformation weight of the target time sequence frame on each convolution channel according to the original sub-feature map of the target time sequence frame on each convolution channel and the original sub-feature map of the next time sequence frame on each convolution channel, and obtaining the motion information feature map of the target time sequence frame on each convolution channel accordingto the motion information weight; performing time sequence convolution on the motion information feature map of the target time sequence frame on each convolution channel to obtain a time sequence motion feature map of the target time sequence frame on each convolution channel; and obtaining the action type of the moving object in the image data of the target time sequence frame according to the time sequence motion feature map of the target time sequence frame in each convolution channel. According to the scheme provided by the invention, the action recognition precision can be effectively improved.

The invention discloses a fault accurate identification method based on real-time intra-station graph mapping. A fault vector analysis and fault diagnosis platform based on a primary topological graph scalable vector graph and a universal information model is built; fault equipment substations needing fusing are determined for a search route through a fault amount flow direction, and a macrozone information fusion platform is formed; information fusion is carried out based on the macrozone information fusion platform, and an information closed loop and an oscillograph are fused into a vector analysis graph to carry out accident property analysis and assistant decision making; in the process of accident property analysis and assistant decision making, fault information is collected and fused in an expanded macrozone, and the fault property of a fault element is judged. On a fault scene, intra-station equipment serves as the background, the flowing direction of fault current serves as an analysis interface of a display mode, judgment of the fault element can be achieved rapidly, and the fault judgment on a multi-element connection device with a converge function is especially visual and effective.

The invention discloses a construction method for a social network structure. The construction method comprises the following steps: (1) acquiring a weighted link matrix of an interaction behavior between users and a user attribute matrix F of the social network according to a social network graph model G=(V, L) of a social network to be constructed; (2) combining the weighted link matrix and the user attribute matrix to construct a comprehensive information matrix N; (3) minimizing ||W||0+lambda(rank)(W) according to the comprehensive information matrix N to obtain a link intensity matrix W of the social network, wherein the minimization restriction condition is that N=NW, diag(W)=0, and W is greater than or equal to 0; (4) obtaining G=(V, LW) by taking the link intensity matrix W serving as weight information of an edge set L in the social network graph model to construct the network structure of the social network. According to the method, modeling of the integrated social network structure can be realized, so that the correlation obtained between any users in the social network is real and can be reliably measured, and the calculating efficiency is high.

The invention discloses a display flow compression encoder and a display engine. The display engine comprises an original image acquisition module, an internal memory and the display flow compressionencoder. The original image acquisition module acquires original image data and transmitting the original image data to the display flow compression encoder. The display flow compression encoder compresses the original image data into code stream data and transmits out the code stream data. The display flow compression encoder multiplexes storage space of the internal memory. The display flow compression encoder is integrated in the display engine, the display flow compression encoder multiplexes the existing internal memory of the display engine, and thus, cost and area are saved.

The invention discloses a waveguide device microwave gas discharge numerical simulation method. According to the method, a microwave gas discharge fluid model in a waveguide structure is built, accurate numerical analysis is performed on electron density, electron fluid velocity and average electron energy during gas breakdown, and accordingly, the law of changing of the electric field intensity and the electron density at different observation positions along with the time in the condition of gas discharge of waveguide devices in different geometric profile complicated structures. The modeling of waveguide devices in any complicated structures can be achieved based on the time domain spectral element method; the generated mass matrix is a block diagonal matrix, and an inverse matrix can be obtained directly, so that the calculation time is reduced greatly; meanwhile, by the aid of the numerical simulation method, the breakdown threshold obtained through electric field distribution and electron density inside the waveguide devices through repeated experiments can be prevented, and accordingly, the design period is shortened, the design cost is saved, and the method is quite applicable to effective simulation design and numerical simulation of waveguide devices with discontinuous structures.

The present invention provides a creating and deleting method for a device in electric power system graph / model hybrid simulation modeling. According to the method, electric power system simulation parameter editing and electric power system wiring diagram editing are processed in a mutually independent and mutually associated manner. According to the method, electric power system device parameters and electric power system device graphics are numbered in a unified way separately, and then a correspondence relation between a device parameter number and a device graphic number is established according to specific needs, so as to achieve electric power system graph / model hybrid simulation modeling. The creating method provided by the present invention achieves various ways of electric power system modeling; the method is simple, flexible and convenient for operation; and method has wide applicability, and the method can not only be applicable to efficient visualization simulation modeling of a large-scale electric power system, but also can be applicable to visualization simulation modeling of an enterprise electric power system or local electric power system.

The invention discloses a fault diagnosis method and system, and the system comprises the steps: obtaining a fault circuit diagram set corresponding to a fault; traversing the fault circuit diagram set to obtain a matched circuit diagram, wherein the matched circuit diagram is a fault circuit diagram with the highest matching degree with the fault in the fault circuit diagram set; and obtaining the cause of the fault according to the matched circuit diagram. According to the invention, the fault circuit diagram set which describes the corresponding relation between the fault and a fault pointis used for searching and locating the cause of the fault, so the method and system can achieve the modeling and automation of the fault diagnosis, and achieves the high-efficiency fault diagnosis capability.

The invention discloses a rainwater low impact development (LID) planning method and a rainwater LID planning device. The rainwater LID planning method comprises the steps of: acquiring annual rainwater runoff coefficients of plots in a planning area and a runoff peak value of the planning area; planning rainwater facilities as an impact factor of each plot into the plot; calculating annual rainwater runoff coefficients of the plots added with the rainwater facilities and a runoff peak value of the planning area; judging whether the annual rainwater runoff coefficients are within a first preset range, and judging whether the runoff peak value is within a second preset range, if so, optimizing layout of the rainwater facilities in the planning area by adopting a rainwater facility optimization algorithm, otherwise, adjusting layout of the rainwater facilities in the planning area by adopting a rainwater facility adjustment algorithm. The rainwater LID planning method and the rainwater LID planning device achieve the modeling of a planning scheme after adding the rainwater facilities, can be used for planning the rainwater facilities in the planning area, and can optimize and adjust the layout of the rainwater facilities in the planning area according to the runoff coefficients of the plots and the runoff peak value of the planning area.

The invention discloses an integrated comprehensive operation management architecture for spaceflight measurement and control data transmission comprehensive equipment. The integrated comprehensive operation management architecture comprises a hardware environment layer, a platform supporting layer, a business service layer and a man-machine interaction layer from bottom to top. The hardware environment layer comprises a universal server, storage resources and network resources, and provides basic hardware environment support for service software function implementation; the platform supporting layer comprises a container platform and a micro-service platform, and provides unified functions of service governance, service monitoring, service arrangement, load balancing, elastic expansion and contraction and the like for upper-layer services; the business service layer performs servitization packaging on various business applications, divides businesses in the system into different typesof multi-class application services according to functions, and provides multi-class business support for the system; the man-machine interaction layer provides corresponding man-machine interactioninterfaces for various operation users through various interface plug-ins; unified interface standards and design specifications are provided for spaceflight measurement and control data transmissionintegrated equipment through the interface standards and specifications, and rapid construction and expansion of the system are facilitated.

The invention discloses a modeling algorithm for a three-dimensional mesoscopic model of closed-cell aluminium foam. Binary aluminium foam X-CT sequence images are processed through adoption of an improved XCT image processing algorithm, and the images are converted into a UnsignedChar format; aluminium foam volume attributes are set; the three-dimensional mesoscopic model is drawn; volume data ismapped into screen images; and the three-dimensional mesoscopic model is displayed. According to the modeling algorithm, the cell hole adhesion problem in the XCT images of the closed-cell aluminiumfoam can be effectively solved; a cell hole air three-dimensional mesoscopic model and a cell wall three-dimensional mesoscopic model of the closed-cell aluminium foam can be accurately and reliably established according to the three-dimensional mesoscopic model of the closed-cell aluminium foam established based on the XCT images, and the established models are completely consistent with a true mesoscopic structure of the closed-cell aluminium foam.

The invention discloses a method for predicting the energy consumption of a urban residential building system in a cold region, which comprises the following steps: step 1, establishing a database ofenergy consumption influencing factors of the urban residential building system in the cold region; 2, setting the energy consumption estimate formula of each residential building in the urban residential build system as follows: annual energy consumption of each residential building = energy consumption of daily electrical appliances + energy consumption of daily hot water + energy consumption ofrefrigeration in summer + energy consumption of heating in winter; 3, obtaining the energy consumption influencing factors which are significantly linearly related to the annual energy consumption based on the correlation analysis of statistics; 4, establishing a multivariate regression model between that annual energy consumption of the urban residential building system and the influence factorvariable of the energy consumption which have a significant linear correlation to the annual energy consumption of the urban residential building system, and predicting the energy consumption of the urban scale by solving a regression equation. The energy consumption prediction method of the invention can predict the total energy consumption of the existing urban residential building system from the city scale.

The invention discloses an information theory learning-based stock market fluctuation section prediction method. The method comprises the following steps of: obtaining and sectioning stock index data;establishing a section neural network prediction model; designing an information theory learning-based cost function; and training the section neural network prediction model through maximizing the cost price, and applying the trained model to predicting stock market fluctuation sections. The method has the effects of realizing the modeling and prediction of stock index fluctuation sections and overcoming the boundedness that the common minimum mean square error criterion depends on Gaussian assumptions, has relatively good correctness and robustness, and is wider in application range.

The invention discloses a modeling method for a flexible open workshop scheduling problem with blocking constraint. According to the method, the order of different workpieces on the same machine toolis determined, three modeling methods based on a sequence relationship, the position of the machine tool and precedence and following relationships are proposed, four models are proposed based on thethree modeling methods, a machine tool selection variable and a first workpiece order selection variable are introduced to determine the order of the different workpieces on the same machine tool in models 1 and 2, a machine tool position variable is introduced determines the order of the different workpieces on the same machine tool in a model 3, a second workpiece order selection variable is introduced to determine the sequence of the different workpieces on the same machine tool in a model 4, the models are compared and analyzed, and the validity of the models is verified through cases.

The invention discloses a variable-step-pitch micro-milling repair tool path generation method for optical crystal surface damage points, and belongs to the technical field of optical material and optical element surface repair. The method aims to delay the modulation effect of a constant-period tool mark generated by a soft and brittle KDP crystal in micro-milling repair on incident laser, and achieve the purposes of improving the laser damage resistance of a KDP crystal element and prolonging the service life of the KDP crystal element. The method is characterized by: establishing a mathematical model of a repaired contour; determining discrete contact points of the cutter and the contour for controlling the motion trend of the pseudo-random trajectory when the cutter mills and repairs the contour by using a GPR trajectory generation method; utilizing the established repair contour mathematical model and the selected micro-milling cutter size; interpolating the cutter location control point set into a space curve by applying an NURBS modeling method; and establishing a curve in UG software according to the curve model, and performing machining process simulation by taking the curve as a repair track. It is verified that the method has a good elimination effect on the constant-period knife lines, and the strong laser damage resistance of the method is improved.

The invention provides a digital optical device for imaged corneal cross-linking. The device comprises an ultraviolet light source system, a collimation system, a beam modulation system, a projectionillumination system and a control system. The beam modulation system comprises a digital light projection chip with a micro mirror array, the digital light projection chip subdivides a collimated ultraviolet beam into a plurality of controllable small beams, and the control system controls the deflection of each micromirror of the digital light projection chip according to a predetermined manner and controls the ratio of a deflection time to a no deflection time in each unit time of each micromirror so as to control the illumination energy of each small beam in each unit time and produce illumination having different predetermined intensity distributions corresponding to different predetermined regions to achieve the refined and dynamic control of a corneal cross-linking region range and energy distribution. According to the optical device, the personalized treatment need of a cornea can be flexibly satisfied, and the therapeutic effect and efficiency of corneal cross-linking surgeriesare significantly improved.

The invention provides an energy storage battery capacity prediction method, a server side and a computer readable storage medium, and the method comprises the following steps: obtaining battery data, and carrying out the preprocessing of the battery data; selecting a battery capacity degradation characteristic quantity and a battery capacity from the battery data; initializing cuckoo search algorithm parameters and generating an initial solution, and calculating an adaptive value of the initial solution; generating a new solution according to a step length formula and a nest position formula, comparing adaptive values of the initial solution and the new solution, and iterating to obtain an optimal solution; endowing the weight and threshold information of the optimal solution to a parameter space of the Elman neural network, and performing parameter fine tuning training; and inputting the test set into the trained Elman neural network, and outputting a prediction result of the battery capacity. Through the method, the prediction speed and the prediction precision of the residual capacity of the battery can be improved.

The invention discloses a radar and infrared sensor deployment method applied to target tracking, and belongs to the technical field of target tracking. The method comprises the following steps of modeling a sensor deployment, wherein the sensor comprising a radar and an infrared sensor; constructing and introducing a scoring system, and quantizing the deployment of the sensors into a high-dimensional multi-peak optimization problem; obtaining a dimension reduction particle swarm algorithm based on the improvement of the traditional particle swarm algorithm, carrying out dimension reduction and iteration processing on an optimization problem, and solving a global optimal solution; and deploying the sensor according to the global optimal solution. The radar and infrared sensor deployment method applied to target tracking solves the problems that the existing sensor deployment method is not suitable for the task requirement of target tracking, a deployment model cannot realize the deployment of a plurality of heterogeneous sensors, and the sensors are easy to fall into a local optimal solution when being optimally deployed.

The invention discloses a method for repairing and polishing ceramic parts through laser. The method comprises the steps of S1, cleaning the ceramic part, and assembling the ceramic part to a three-dimensional moving platform; S2, scanning the surface contour of the ceramic part, comparing the scanned contour model with a standard model, and dividing the surface of the ceramic part into an etching region, a polishing region and a sintering region; S3, processing the etching region by using excimer laser equipment; S4, carrying out preset powder feeding on the sintering region, and carrying out sintering repair by using long-wavelength laser; S5, carrying out rough polishing on the sintering region; S6, carrying out overall polishing on the processing area; and S7, scanning the surface roughness of the ceramic part, executing the step S6 if the roughness does not meet the requirement, and completing the excimer laser polishing process if the roughness meets the requirement. The method has the advantages that the controllability is good, the automatic production can be realized conveniently, the precise processing of the micro-area can be realized, any curved surface and any part can be treated, the influence on a ceramic matrix is remarkably reduced, and the precision, the quality and the efficiency of part repairing and polishing are guaranteed.