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 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.

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 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 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 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.