42results about How to "Realize automatic division" patented technology

The invention discloses a method for picking position faces in a batched mode based on the constraint in three-dimensional seismic interpretation. An upper position face and a lower position face which are picked manually or in other modes serve as constraint faces, known conditions provided by the constraint position faces are obtained, the interaction relation between middle position faces to be picked is combined, and all position faces between the constraint position faces are picked synchronously. The new method for automatically picking a plurality of position faces with constraint information added is provided, the information of the upper constraint position face and the information of the lower constraint position face are combined in the method, and auxiliary information of the position faces to be picked is provided. A seed seismic channel spreading method is adopted on sample points which are obtained through filtering, and the accuracy and the time efficiency can be improved.

The invention belongs to a deep sea engineering technology and particularly relates to a spherical shell surface three-dimensional crack propagation fatigue life calculation method. The method comprises the following steps of establishing a complete spherical pressure-resistant shell initial geometric model; endowing the spherical shell model with material parameters and section attributes, dividing grids, and setting boundary and load conditions; establishing an initial crack model; endowing material parameters to the crack model, defining section attributes, dividing grids and determining the positions of the grids; importing the two models to generate a complete spherical shell finite element numerical model locally containing surface crack defects; solving an initial crack leading edgestress intensity factor value by adopting an M integral method; reading and running a fatigue life calculation model program; setting automatic crack propagation parameters; and obtaining a sphericalshell surface three-dimensional crack propagation fatigue life numerical value based on a self-defined propagation program. According to the method, finite element analysis software and fracture mechanics analysis software are combined to calculate the three-dimensional crack propagation fatigue life of the surface of the spherical shell, and applicability of the method is verified through numerical simulation.

The invention provides a method for processing data and identifying fluctuations of historical wind power output, which consists of the steps of: collecting historical wind power output data and analyzing & arranging the output data; carrying out the normalization processing and wavelet filtering processing of the analyzed and arranged historical wind power output data and then carrying out fluctuation division; checking the historical wind power output data and the wind fluctuation clustering effect by means of a visualization method. The invention provides the method for processing data and identifying fluctuations of historical wind power output, which can be used as the pre-stage basis of long-term output time series modeling of wind power and can also be used for the planning and operation analysis of the power system including wind power.

The embodiment of the invention discloses a data processing method and device, a computer readable storage medium and electronic equipment, and the method comprises the steps: collecting a user time sequence sample set, and generating initial positive sample data and initial negative sample data from the user time sequence sample set; inputting the initial positive sample data and the initial negative sample data into a preset neural network model for first training to obtain a first trained preset neural network model; identifying the user time sequence sample set according to the preset neural network model after the first training, and determining target positive sample data and mutation negative sample data; and inputting the target positive sample data and the abrupt change negative sample data into the initialized preset neural network model for second training to obtain a second trained preset neural network model. Through secondary training, the second trained preset neural network model with the sequence division function is obtained, automatic division of the user time series data is achieved, and the data processing efficiency and accuracy are greatly improved.

This invention discloses a method and system for automatically dividing user levels, and relates to the technical field of data mining. The method comprises the steps of: S1, selecting original sample data; S2, selecting at least one type of user characteristic as a dimension for calculating distance; S3, determining number K of classifications; S4, selecting K users from the original sample data as initial classification centers; S5, measuring distance from the rest of each user in the original sample data to each of the current classification center; classifying the rest of each user into a nearest classification to finish the division of K classifications; S6, recalculating the classification center of each classification; S7, iterating the S5 and the S6; and stopping the iterative operation till a new classification center is equal to the original classification center or till the variable quantity is less than a specified threshold, so that the currently divided K classifications are the user level classifications required to be divided. The method can automatically divide the user levels, is precise and efficient, and can save the labor cost.

The invention discloses a freeform surface building grid division method based on a self-defined element method. According to the grid division method, grid nodes serve as objects to advance. The method comprises steps of determining a node advancing parameter direction, defining, selecting and assembling grid units and mapping parameter grids. As for determining of the node advancing parameter direction, the parameter direction with obvious surface shape feature changes is selected to serve as the node advancing direction. As for defining, selecting and assembling of the grid units, self definition of grid units are carried out in a parameter domain, unit selection and assembly are carried out according to the surface features, and node parameter coordinates and topology information are determined. The parameter grids are mapped to the freeform surface to form a space grid. According to the method of the invention, the building grids of any complicated freeform surfaces can be automatically divided, the generated grids have various forms and uniform size, aesthetic demands and visual effects of the building can be met, the method is flexible and controllable, and universality is strong.

The invention discloses a method and an apparatus for dividing a provider-defined network location identifier (PID), as well as an application-layer traffic optimization (ALTO) server and a border gateway protocol (BGP) module, wherein the method comprises the following steps that a route request is sent to the border gateway protocol module by the ALTO server; the route information is returned to the ALTO server after the route request which is sent by the ALTO server is received by the BGP module, the route information carries a route of a terminal and a source autonomous system (AS) serial number; and after the route information which is returned by the BGP module is received by the ALTO server, the terminal is divided into multiple PIDs by the ALTO server in accordance with a preset PID division strategy depending on the route of the terminal as well as the source AS serial number carried in the route information. According to the method and the apparatus, the ALTO server and the BGP module, PIDs are automatically divided with the help of the route information of the BGP and the source AS information, so that the labor is saved; moreover, the operation of PID division is intelligent, has few errors and is simple and feasible.

The invention discloses an automatic classification method for layered rock side slopes. The method comprises the following steps of (1), preprocessing a ridge line, and dividing a mountain boundary based on the ridge line for forming a side slope unit; (2), calculating side slope attitude information and bed attitude information; and (3), according to a layered rock side slope classification standard, classifying the side slopes. The automatic classification method can realize automatic classification of the layered rock side slopes and furthermore has advantages of high automation degree, high objectivity, and effective satisfaction for classifying large-range layered rock side slopes.

The invention discloses a method for establishing a three-dimensional live-action model of a transformer substation. The method comprises the following steps: (1) acquiring original point cloud data of the transformer substation; (2) preprocessing the original point cloud data of the transformer substation; (3) dividing the preprocessed transformer substation point cloud data into equipment pointclouds with noise points and ground point clouds by adopting an elevation threshold segmentation algorithm; (4) extracting equipment point clouds from the equipment point clouds with the noise pointsby adopting a two-dimensional subspace density difference segmentation method, and thinning the ground point clouds by adopting a one-dimensional subspace density difference; and (5) establishing a three-dimensional live-action model of the transformer substation by adopting the extracted equipment point cloud and the thinned ground point cloud. In addition, the invention also discloses a system for establishing the three-dimensional live-action model of the transformer substation, the system comprises a processing module, and the processing module operates based on the acquired original pointcloud data of the transformer substation. According to the substation three-dimensional live-action model establishing method, noise interference is effectively suppressed, and accurate extraction and positioning of substation equipment are realized.

The invention relates to a text dividing method and device, a storage medium and electronic equipment. The method comprises the steps of obtaining a target text and a previous text and a next text adjacent to the target text; sequentially obtaining text feature vectors of the previous text, the target text and the next text; and according to the text feature vector, dividing the target text to a previous text or a next text adjacent to the target text through a text division model obtained by pre-training.

The invention discloses an urban road network traffic control subarea dynamic partitioning method, which comprises the following steps of: 1, initializing a traffic control computer; 2, judging whether a current moment reaches to ta while not to tb yet, wherein if yes, a road network traffic state is represented to be at a trough, and traffic control subarea partitioning is not needed; and ta is the starting moment of the trough at night, tb is the finishing moment of the trough at night, and a traffic engineer confirms that the ta is 22:00 and the tb is 6:00; 3, if not, judging whether the current moment is tb or not, and if the current moment is just tb, carrying out traffic control subarea initialized portioning; 4, if the current moment is not tb, judging whether a time difference between the current moment and traffic control subarea partitioning last time is Tk or not, wherein if yes, carrying out traffic control subarea dynamic adjusting, and Tk is a traffic control subarea dynamic adjusting time interval; and 5, if the current moment is not tb, and the time difference between the current moment and traffic control subarea partitioning last time is not Tk, remaining a traffic control subarea scheme unchanged.

The invention provides a method and a device for dividing fault ride-through intervals of a wind turbine generator. The method comprises the following steps of: determining a wind turbine generator implementation control moment after a power grid fault occurs, a wind turbine generator implementation control moment after the power grid fault is removed, a wind turbine generator control stabilization moment after the power grid fault occurs and a wind turbine generator control stabilization moment after the power grid fault is removed; and dividing the fault ride-through intervals of the wind turbine generator based on the four moments. According to the invention, the fault ride-through intervals of the wind turbine generator can be automatically divided; the universality is high; and the control response characteristic of a simulation model can be verified. Based on fault ride-through actual measurement data of the wind turbine generator, the problems of large automatic interval division errors and poor universality caused by standard fixed time duration can be effectively solved, manual correction workload can be avoided, and the method and the device can be applied to high-voltageride-through tests and low-voltage ride-through tests at the same time.

The invention discloses an automatic process step design method based on knowledge reasoning, and the method comprises the following steps: 1, checking process basic information, and checking whether inherited or created process level information meets the requirements of a current process or not; 2, automatically dividing process steps, taking out the procedure nodes determined in the step 1 one by one, and automatically calculating the number of process steps of the current procedure according to the precision requirement and the procedure cutting thickness; step 3, processing parameter recommendation and adjustment: selecting cutting parameters according to a parameter selection strategy and enterprise requirements, verifying the cutting parameters, and adjusting the parameters according to a parameter adjustment algorithm; and step 4, revision and analysis of the three-dimensional technological procedure: after the system automatically completes the design of the process steps, looking up the result and revising same interactively, and publishing the revised technological procedure at the same time. The method can automatically determine the number of the process steps and recommend and adjust the processing parameters, so that the intelligence and automation level of the process compiling is improved, and the efficiency and quality of the process compiling are improved.

The invention discloses a shield tunnel internal force calculation method based on a simulation joint model, and relates to the technical field of engineering construction. The shield tunnel internalforce calculation method utilizes MATLAB software and ANSYS software to carry out combined calling, utilizes MATLAB to carry out pretreatment work such as stratum repartitioning, segment partitioningand segment calculation unit partitioning, calculates and outputs the internal force of the structure by utilizing ANSYS, adopts a simulation joint model for shield tunnel internal force calculation,can obtain a final calculation sheet only by inputting initial engineering parameters into MATLAB software, achieves automation of shield tunnel internal force calculation, greatly improves the efficiency of structural internal force calculation, and provides a way and thought for automatic calculation of internal force of a shield tunnel and other underground structures.

The invention discloses a signal processing method of a spectrum analyzer and the spectrum analyzer, the spectrum analyzer comprises a radio frequency scanning module, a data acquisition module, a detection module, a display module and a control processing module, and the control processing module obtains the endpoint frequencies of a plurality of predefined scanning frequency bands and receives scanning parameters input by a user; and according to the endpoint frequencies of the plurality of scanning frequency bands and the scanning parameters, the endpoint frequencies of the plurality of detection frequency bands are determined, and when it is detected that the endpoint frequencies of the scanning frequency bands do not coincide with the endpoint frequency of any detection frequency band, the endpoint frequencies of the scanning frequency bands sent to a radio frequency scanning module is adjsuted, the endpoint frequency of the scanning frequency band is sent to the radio frequency scanning module, and the endpoint frequency of the detection frequency band is sent to the detection module, so that the radio frequency scanning module scans the signal to be detected according to the scanning frequency band determined by the control processing module; therefore, the actual scanning frequency band is matched with the frequency range of the whole radio frequency scanning and the data processing requirement configured by the user.

The invention discloses a community core person mining method, which comprises the steps of obtaining a target user group under a target group number, and obtaining communication data in the target user group; cleaning and converting the communication data, and constructing a target user call sequence; dividing a community structure of the target user group by using a Louvain algorithm through thecommunication data; making the shortest path between the nodes of the community through a Dijkstra algorithm, calculating the centrality of each node, and excavating the central node of the network graph; and calculating the volatility of each center node, wherein the center node with low volatility is the community core of the target user group. The method is unsupervised in the whole process, that is, the final structure completely depends on algorithm clustering, and artificial preset classification in advance is not needed. The method has no strict requirements for the size of the graph,can achieve the quick convergence after several rounds of iteration, and is higher in algorithm efficiency.