53results about How to "Fast and efficient build" patented technology

The invention discloses a method for establishing an urban landscape water body ecological system. The method comprises the following steps: improving a water body substrate; planting submerged plants by using a method that upright posts are adopted to mark areas, so as to establish an underwater frost; planting layered emergent aquatic plants; putting zooplankton (daphnia magna) so as to improve the transparency of the water body; putting aquatic organisms such as fishes, shrimps and shells, so as to complete the water body ecological system; maintaining and managing the ecological system. Through the adoption of the method, the quality of the water body can be remarkably improved, the transparency can be greater than 2.0m, the quality can meet the III-type water quality standard for a long time, black, smell and dirty water bodies with blue-green algae can be thoroughly eliminated, and the water body is always kept clear completely.

The invention provides a method for identifying fluid of multi-attribute fusion reservoirs on the basis of well information attribute optimization. The method includes extracting various seismic attributes by the aid of software tools, analyzing correlations of the seismic attributes, the reservoir, oil-gas bearing properties and the like and optimizing sensitive seismic attributes; classifying wells according to geological data of the sample wells, respectively determining numerical ranges of sensitive attributes according to classification of the wells, carrying out crossing on attributes of selected numerical intervals pairwise and carrying out multi-attribute crossing fusion to obtain spatial distribution for indicating the favorable reservoirs and the favorable oil-gas bearing properties. The various extracted seismic attributes include amplitudes, frequencies, phases, attenuation and the like. The method has the advantages that the sensitive seismic attributes can be quickly and effectively optimized by the aid of the method, identification modes for the reservoirs, the oil-gas bearing properties and the like of the sample wells and the seismic attributes can be established, and human intervention can be reduced; anomaly of the oil-gas spatial distribution for indicating the favorable reservoirs can be obtained, and the determinacy of the oil-gas bearing properties can be indicated.

The invention relates to a rapid indexing mode for carrying out arithmetic coding on variation trend of time sequences (determined time sequences and undetermined time sequences), which has important significance for predicting, classifying, carrying out data mining, carrying out knowledge discovery and the like on the time sequences. The indexing mode solves the problems of high data redundancy or low matching accuracy and indexing efficiency, which are caused by spatial indexing of the time sequences and can effectively complete similarity matching, clustering and classification of the time sequences (time sequences with equal lengths and time sequences with unequal lengths) by indexing and greatly reduce time complexity and spatial complexity of the problems of similarity matching, clustering and classification of the sequences. In the mode, firstly, time dimensions of the time sequences are subjected to interval segmentation, the time sequences are mapped into symbol sequences according to variation trend of the time sequences in each interval, then the symbol sequences are subjected to arithmetic coding to form unique code values and finally, the code values are used for establishing a B-Tree index for a time sequence set.

The invention discloses an automatic modeling method for data of data sources. The method comprises following steps: accessing multiple data sources and analyzing table structures; accessing data of different data sources and analyzing table structures of all tables of all data sources; identifying business objects of table structures in the data sources; traversing all the tables of the data sources, extracting attribute lists needed modeling, setting attributes in all the attribute lists with names for business objects, types for business objects and clustering modes for business objects; merging business objects in similar terms; summarizing attributes set with business objects and clustering similar terms; analyzing business objects and modeling in order to generate a modeling structure set; and modeling attributes set with business objects according to setting parameters and modeling attributes not set with business objects according to a modeling rule. The modeling rule comprises: numeric attributes marked as metric; non-numeric attributes marked as dimensionality; and business objects in similar terms are merged. Data modeling operation can be conveniently performed, which is beneficial for analyses of mass data of users.

The system includes base station (BS) in this cell, BS in neighbor cell, and BS controller. The BS in this cell also includes modules: electronic switch module in use for connecting to or disconnecting off antenna and IQ demodulation module, controlling down going radio-frequency signal received from BS in neighbor cell to IQ demodulation module; IQ demodulation module in use for demodulating the said down going radio-frequency signal into down going IQ data, which are sent to baseband process module; baseband process module in use for processing down going IQ data in neighbor cell to obtain information of BS in neighbor cell, and to send the information to data process and baseband process modules; data process and comm. control module in use for selecting configuration information suitable to BS in this cell, and requesting allocation of BS controller. The invention realizes minimal interference to and from BS in neighbor cell.

The invention discloses a method for judging the DC side impedance stability of a flexible DC transmission system. By using the method, a sufficiently accurate DC side impedance model of a flexible DCconverter station can be quickly and effectively established, and the DC side impedance stability of a flexible DC transmission system can be accurately judged according to the model. The DC side impedance model of the invention is simple and clear compared with the traditional impedance model, and the impedance stability judgment mode is simple, which create conditions for the fast stability analysis of the flexible DC system.

The invention provides an engineering modeling method of shield thrust control based on trial excavation segment data. The method comprises the following steps: 1, establishing a steady thrust component model Fe; 2, establishing a dynamic thrust component model Fo; 3, establishing an excavation thrust control model F: F=Fe+Fo; 4, based on data collected in a trial excavation segment, by the adoption of a least squares algorithm, fitting concrete values of model coefficients in the steps from the step 1 to step 3; 5, by the adoption of the established models in the steps from the step 1 to step 3 and the model coefficients fitted in the step 4, calculating a control objective of excavation thrust in follow-up construction. According to the method, the theoretical research results of the internal influence mechanisms among the excavation thrust, the geological conditions and the excavation states are integrated, and meanwhile the extraction of actual working condition information in the process of trial excavation segment data collection of a particular project is combined. By means of the method, a quantitative prediction model for controlling the thrust parameters used for shield construction can be established rapidly and effectively.

The invention discloses an event processing method and device, and relates to the technical field of computers. The method comprises the following steps: extracting keywords of an event from a received event list; Constructing a feature vector according to the keyword of the event; Inputting the feature vector into a classifier to identify an event type to which the event list belongs; And querying a known event library according to the identified event category to obtain a solution of the event list. Through the above steps, the solution of the event list can be quickly and accurately decided, the processing efficiency of the operation event is improved, the operation cost is reduced, and the efficient and quick construction of the flow-oriented IT service is facilitated.

The embodiment of the invention discloses a method, device and system for establishing a local communication link and a storage medium, a client generates and sends a local communication negotiation request in response to a first local communication operation with an intelligent device, and the intelligent device allocates a TCP port after receiving the local communication negotiation request, wherein the local communication negotiation request carries the port number of the TCP port, the local communication negotiation request and the local communication negotiation response are forwarded bythe cloud server between the client and the intelligent device, the client sends a first link request carrying the port number to the intelligent device, a first TCP link with the intelligent device is established. Through the mode, the local communication link between the client and the intelligent equipment can be quickly and effectively established, so that the local communication between the client and the intelligent equipment becomes possible.

The invention discloses a dynamic face database establishing method, which is characterized in that the method comprises the following steps: 1) carrying out real-time face image acquisition, and carrying out face interception on the collected images according to a set effective face standard to capture effective face images; 2) carrying out dynamic intelligent face algorithm processing on the effective face images to obtain face image feature points; and 3) keeping the obtained face image feature points in real time to form a dynamic face database. By capturing the effective face images in the collected images and judging the effective face images, a temporary target face database is established, and recognition rate and authentication efficiency can be improved.