8results about How to "Optimize data processing" patented technology

This invention belongs to the field of impurity detection technology for ethanol solutions, and particularly relates to a method for detecting trace impurities in ethanol solutions based on near-infrared spectroscopy, comprising the following steps: (1) examining the standard deviation (RSD) value and calculating the required sample size N; (2) acquiring samples; (3) outlier removal and spectral preprocessing; (4) dividing the dataset; (5) using the difference spectrum method to screen feature signals; (6) establishing a "background silence" discrimination criterion; and (7) using an external prediction set for discrimination. The detection method model described in this invention has a wide range of applications. It establishes a model based on the background system, effectively identifying normal samples. For impurity samples or abnormal situations that are inconsistent with the near-infrared absorption characteristics of the background system, as long as they cause changes in the background system, they can be effectively detected. Compared with traditional PLS, PLSDA and other modeling methods, background silence discrimination only requires calculation using relevant statistical methods, resulting in a smaller overall computational load and more convenient data processing.

The invention relates to a petrochemical engineering emergency early warning method and device based on large model data distillation. The method comprises the steps of obtaining original data, preprocessing and standardizing the original data, and constructing a data set. The method comprises the following steps: mapping a data set from a high-dimensional space to a low-dimensional space through linear transformation, and performing eigenvalue decomposition on a covariance matrix of data in the data set to obtain eigenvalues and eigenvectors; and sorting the feature vectors according to the feature values from large to small, selecting the feature vectors of which the feature value ranking is not lower than a first threshold value to form a new feature space, and extracting important features from the feature space through LASSO regression. And calling a CNN deep learning model to extract key features from the important features, distilling representative features in the original data, and outputting a feature set after distillation. And performing anomaly detection on the petrochemical engineering system through a clustering algorithm according to the feature set after distillation, and triggering early warning when a detection result does not meet a preset condition.

The present disclosure provides a method and device for determining power characteristics of a wind turbine. The method comprises: obtaining first operating data of the wind turbine before applying a predetermined control strategy and second operating data of the wind turbine after applying the predetermined control strategy, the first operating data comprising first environmental data and first output power data, and the second operating data comprising second environmental data and second output power data; determining an environmental space intersection of the first operating data and the second operating data by performing environmental space matching on the first operating data and the second operating data according to the first environmental data and the second environmental data; predicting a first predicted power of the wind turbine before applying the predetermined control strategy and a second predicted power of the wind turbine after applying the predetermined control strategy based on the environmental space intersection; and determining a power characteristic difference of the wind turbine before and after applying the predetermined control strategy according to the first predicted power and the second predicted power.

The invention provides an underwater surveying and mapping system and method based on a rotary scanning type three-dimensional imaging sonar. The surveying and mapping system comprises a water surface moving platform (unmanned ship), an underwater scanning unit (three-dimensional imaging sonar), a pose and coordinate measuring unit (RTK / IMU), a data processing and converting unit and a remote display and control unit. The surveying and mapping method specifically comprises the following steps: controlling the unmanned ship to move to the center of each sub-region; a sonar is started to plot the sub-regions to obtain underwater three-dimensional point clouds of the underwater terrain and the underwater creatures; based on the position information and the attitude information of the underwater surveying and mapping system, the coordinates of the underwater three-dimensional point cloud are converted into an east-north-sky rectangular coordinate system, and the final coordinates of the underwater three-dimensional point cloud are obtained; and on the basis of the underwater three-dimensional point clouds of the sub-regions, a complete underwater three-dimensional point cloud of the region to be measured is generated through fusion. The method is suitable for underwater topographic surveying and mapping and dynamic target monitoring of rivers, lakes and offshore waters, the measurement efficiency is high, data processing is convenient, and the method does not depend on platform tracks and measuring lines.

The invention discloses a double-shaft multi-angle wind tunnel test supporting device, and relates to the technical field of wind tunnel tests. The device comprises a stand column, the bottom of the stand column is connected with a test section pivotal bearing, the top of the stand column is connected with a bearing seat, the bearing seat is rotatably connected with a transmission supporting rod, one end of the transmission supporting rod is connected with a driving mechanism, and the other end of the transmission supporting rod is connected with a fixed base. The mounting seat interface is mounted at the end part of the transmission support rod, the spherical hinge is arranged on the mounting seat interface, and the central round hole of the model mounting seat is matched and connected with the spherical part of the spherical hinge. The supporting device provided by the invention adopts a structural form of the main support and the axial extension rod, and the possibility of resonance with a wind tunnel foundation is avoided due to fixed bottom, stable structure and relatively high frequency; and the structural design is small and light, and each part is provided with a hoisting hole, so that transfer transportation and test installation are facilitated, and compared with a traditional supporting structure, the adaptability is wider.

The invention provides a grabbing control method, system and device for a dexterous hand, and the method comprises the steps: controlling the dexterous hand to move to a target object, and obtaining the pressure information between the dexterous hand and the target object; acquiring forward pressure data based on the pressure information; the forward pressure data is compared with preset grabbing force data, and the stress change state of the dexterous hand when the target object is grabbed is determined; the stress change state of the dexterous hand comprises a deformation state, an offset state and a sliding state; and a control instruction is generated based on the stress change state of the dexterous hand, and the grabbing force of the dexterous hand on the target object is adjusted according to the control instruction. The pressure sensing precision and the response speed can be improved, and the dexterous hand can more accurately sense the contact force and make corresponding adjustment.

The invention provides an intelligent credit line evaluation method and system based on multi-dimensional enterprise data, electronic equipment and a storage medium, and relates to the field of financial science and technology and data processing. The system adopts a four-layer architecture, and automatically collects enterprise invoices, industry and commerce and judicial data through an interface. And the data processing layer constructs quantitative indexes by using a cleaning engine and feature engineering. The decision engine layer adopts a multi-dimensional scoring model and a quota checking algorithm based on linear regression, the quota checking model introduces a natural logarithmic function to process the invoicing amount, and the credit line is dynamically calculated in combination with the downstream customer growth rate and the special invoice rate. According to the method, through multi-source data fusion and real-time calculation, the problems of data lag, single dimension and low decision-making efficiency of a traditional model are solved, accurate quantitative evaluation of enterprise operation conditions is realized, and risk identification accuracy and approval efficiency are remarkably improved.

The invention provides a method for measuring the sound reflection coefficient of a large-sample underwater acoustic material based on a sound pressure hydrophone array, and the method comprises the steps: employing a CW pulse (continuous wave pulse) as a transmitting signal form, and receiving a signal through a sound pressure hydrophone array disposed near the surface of a sample; then separation of the direct sound and the reflected sound is attributed to a mathematical problem of solving an equation set by utilizing known prior information of measurement system parameters, the direct sound and the reflected sound are separated, and then the sound reflection coefficient of the sample can be rapidly obtained through simple calculation.