30results about How to "Strong theoretical basis" patented technology

The invention discloses a label propagation anti-fraud detection method and system based on an enterprise relation map, belongs to the field of financial credit, and aims to solve the technical problem of how to effectively analyze complex network data to discover valuable information and further mine fraud risks embodied by complex network relations, and the method comprises the following steps of: s1, establishing an enterprise blacklist library; s2, constructing a relational graph: screening related tables and fields listed in the relational graph in a relational database, and extracting arelational database object entity and an entity relationship; and S3, performing anti-fraud detection on the enterprise based on the self-built blacklist library and the enterprise relationship graph:based on blacklist library identification relationship graph blacklist nodes, extracting blacklist node connection subgraphs, identifying fraud enterprise nodes in the connection subgraphs by applying a label propagation algorithm, and estimating the enterprise anti-fraud probability. The system comprises an enterprise blacklist library establishment unit, a relation graph construction unit and an anti-fraud detection unit.

The invention relates to analysis methods of the power transmission and distribution system field of electric engineering, in particular to an energy efficiency analysis method suitable for direct-current power distribution network lines. The energy efficiency analysis method is suitable for a medium voltage distribution network and line analysis is dominant in energy efficiency analysis. According to the energy efficiency analysis method, on the portion of the lines, cable conductors serve as main research objects, the energy efficiency indexes of the alternating-current line, the monopole direct-current line and the bipolar direct-current line are analyzed and compared, and which line is higher in energy efficiency is judged. For the alternating-current line, the monopole direct-current line and the bipolar direct-current line, specific calculation models of the indexes including active power loss, power supply efficiency, electric energy loss and line loss per unit are provided. The energy efficiency analysis method can be widely applied to calculation and comparison of the power distribution networks with different voltage levels, results and conclusions obtained at different voltage levels can be different, and an energy efficiency analysis and comparison conclusion of the alternating-current scheme of the power distribution network and the direct-current scheme of the power distribution network can be made by the adoption of the energy efficiency analysis method.

The invention discloses a thrust reduction control algorithm of a wind generating set. The algorithm includes the steps that first, the cabin acceleration of the wind generating set is measured in real time through a sensor; then a corresponding minimum pitch angle is obtained through a look-up table method according to the measured cabin acceleration; and afterwards, the minimum pitch angle value is input to a variable pitch controller of the wind generating set to be compared with the minimum pitch angle value set by the variable pitch controller, the maximum value is taken as a novel minimum pitch angle limit value of the controller, in other words, the thrust borne by the set can be changed by changing the minimum pitch angle limit value of the controller in real time, and thus load optimizing control of the wind generating set based on the cabin acceleration can be realized. By the adoption of the control algorithm, wind wheel thrust of the set can be effectively reduced, and therefore blade, hub and tower loads are lowered, and performance of the wind generating set is improved comprehensively. Hence, the control algorithm has a wide application prospect.

The invention discloses a control method and module for preventing overspeed of a wind generating set. According to the method, firstly, a cabin front and back acceleration, a pitch angle and a generator speed are measured in real time through a sensor, and a generator speed deviation is calculated according to a generator speed set value; secondly, the cabin front and back acceleration is multiplied by the generator speed deviation to obtain a monitoring index value for judging whether to start a pitch adjustment strategy, a corresponding threshold value is obtained according to real-time pitch angle linear interpolation, and the pitch adjustment strategy is started when the monitoring index value is greater than or equal to the threshold value; in other words, an additional pitch angle is superposed in an original pitch changing instruction output by a pitch changing controller of the wind generating set so as to achieve the purpose of inhibiting sharp increase of the generator speedin advance, or otherwise the pitch adjustment strategy is not started; and finally, a pitch changing actuator adjusts the pitch angle of a blade according to the pitch changing instruction sent by the pitch changing controller. Therefore, load optimization control of the wind generating set based on the cabin front and back acceleration and the generator speed deviation is realized.

The invention discloses an image deblurring method based on an ADMM neural network. Modeling is carried out for the problem of image deblurring. Split item solving is carried out on the problem by utilizing an ADMM algorithm; the related neural network is constructed according to the three solved sub-problems, the ADMM algorithm parameters and the related regular terms which better accord with thereality are obtained through training of the constructed neural network, the workload of participation in regular term selection can be reduced, and the actual effect and the operation efficiency canbe further improved. According to the method, the excellent theoretical basis of a traditional optimization algorithm is reserved, the trainability of the neural network is utilized, and deblurring processing can be well carried out on the moving image.

The invention discloses a testing method for determining the quality of a lead-acid battery cell, and the method comprises the steps: carrying out the AC impedance testing and short-time high-power large current discharge testing of a selected lead-acid battery cell, calculating the range of the deviation between the test result data with the AC impedance standard value and minimum voltage reference threshold value of a lead-acid battery of the same type, and determining the quality of the lead-acid battery cell. The method can determine the quality of the lead-acid battery cell efficiently, quickly and accurately. Compared with a battery voltage measurement and discharge process detection method, the method is solid in theoretical basis, and is shorter in testing time. The method can sort out the batteries in poor quality, guarantees the excellent performance of the lead-acid battery, and prevents a single lead-acid battery in poor quality from causing the discarding of the whole battery pack.

The invention relates to a rail transit new line access passenger flow prediction method based on data driving. The method comprises the following steps: acquiring rail transit station characteristic data and rail transit station passenger flow data of a target rail station; performing quantitative processing on the rail transit station characteristic data to obtain a station characteristic quantitative index of the target rail station; performing statistical analysis on the rail transit station passenger flow data to obtain a station passenger flow characteristic index of a target rail station; taking the station characteristic quantitative index as an independent variable set, taking the station passenger flow characteristic index as a dependent variable set, and constructing a passenger flow total quantity prediction model and a passenger flow fluctuation form prediction model; performing parameter calibration on the model by adopting a regression analysis method, and determining calibrated parameters of the prediction model; and enabling the passenger flow total quantity prediction model and the passenger flow fluctuation form prediction model to perform prediction according to parameters calibrated by the prediction model to obtain the passenger flow total quantity and the fluctuation form of the target rail station, so that the problems of high investigation cost and low prediction precision are solved.

The invention discloses a method and device for calculating tight reservoir fracture porosity by utilizing a dual lateral curve. The method comprises the following steps that a target reservoir is determined to be as a fracture type gas reservoir; a dual lateral response correction parameter delta g for the fracture type gas reservoir is calculated according to a calculation formula; and accordingto the correction formula, a deep lateral logging value of the fracture type gas reservoir is corrected to obtain a corrected deep lateral logging value R <r><*>, and the porosity of the target reservoir is calculated by adopting the corrected deep lateral logging value R <r><*>. According to the technical scheme, aiming at the tight reservoir, by utilizing the calibration research of a fractureand reservoir gas in the dual lateral logging curve, a method for eliminating the dual lateral gas bearing logging response is provided, the purpose of accurately calculating the tight reservoir duallateral fracture porosity is achieved, the theoretical basis is strong, the implementation cost is low, and a reliable basis is provided for tight reservoir evaluation and production test layer optimization.

The invention discloses an image false matching detection method based on an augmented homogeneous coordinate matrix. Based on correct matching in one iteration, the augmented homogeneous coordinate (AHC) matrix is constructed, more accurate anchor matching is selected till an Euler's distance between an estimated matching coordinate and an actual matching coordinate corresponding to each pair ofmatching of anchor matching is not greater than the set threshold, and the AHC matrix is constructed based on a final anchor point matching set to complete global verification. The method is advantaged in that a problem of difficulty in false matching during projective image search in the prior art can be effectively solved, high-efficient processing can be carried out even when two correspondingpoint sets has projective transformation and has strong characteristic detection noise and high-proportion false matching, and properties of fast calculation speed, high precision, wide application scope, strong robustness and insensitiveness to large-scale image calculation are realized.