5results about How to "Efficient technical means" patented technology

The invention belongs to the technical field of modernized analysis of traditional Chinese medicines, and provides a method for predicting the hypoglycemic activity of a mulberry leaf aqueous extract based on a BP neural network, and the method comprises the following steps: preparing mulberry leaf aqueous extracts under different extraction conditions, and measuring the contents of various active components and the alpha-glucosidase inhibition rate; screening out a key active component combination remarkably related to the inhibition ratio from the various components by utilizing Pearson correlation analysis; constructing and training a BP (Back Propagation) neural network prediction model by taking the content of the key component as input and the alpha-glucosidase inhibition ratio as output; preparing an independent verification set by adopting mulberry leaf raw materials from different sources, substituting the independent verification set into the trained model and generating a predicted value, and comparing the predicted value with an actual value to verify that the model has good prediction precision and universality. The method overcomes the defect that the prior art depends on tedious biological experiments to measure the blood sugar lowering activity of the mulberry leaves, realizes rapid and high-throughput prediction of the blood sugar lowering activity of the mulberry leaves, and brings convenience to accurate screening and quality control of mulberry leaf raw materials.

The application relates to the technical field of metal mine development, and discloses a soil heavy metal content estimation method, device, equipment and medium, the method comprising the following steps: collecting soil samples in a target area, and determining the contents of various heavy metal elements in the soil samples; acquiring visible light-near infrared hyperspectral reflectance data and X-ray fluorescence spectrum data of the soil samples; calculating competition coefficients among the heavy metal elements by using an L-V competition model, and determining a competition element set of a target heavy metal element; based on band importance of a random forest, a multi-objective optimization function is constructed, the function aims to maximize spectral response differences of the target heavy metal element and minimize spectral response differences of competition elements of the target heavy metal element, and the NSGA-II algorithm is adopted to screen an optimal band bit feature set in combination with wavelength interval constraints, and a machine learning regression model is trained to estimate the heavy metal content of soil in a to-be-measured area. Through the scheme, the inversion precision and stability of the model are significantly improved.

The present application relates to the field of intelligent transportation, and particularly relates to an ETC vehicle identity consistency deep verification method, system and device. The present application solves the problem that a single point static comparison cannot identify a label change and fee evasion in the prior art by constructing a vehicle trusted identity file and establishing a "file-real vehicle" comparison mechanism, placing a single pass event in the historical trajectory dimension for verification. And through multi-dimensional feature vectorization expression and similarity calculation, identity consistency can still be determined according to other stable features in the case of single feature failure caused by license plate pollution, poor lighting and the like, greatly improving environmental adaptability and verification accuracy. Finally, through dynamic comparison of the consistency comprehensive score and the set threshold, second-level perception and automatic early warning of the change of the OBU and vehicle binding relationship are realized, and the defect that the prior art has no perception of "vehicle-OBU" unbinding is solved, providing a precise and efficient technical means for highway fee evasion auditing.

The invention relates to underwater portable acousto-optic detection equipment which comprises an equipment mechanism main body, a sonar module, an adjustable sleeve structure and a camera fixing device, the sonar module is fixed on the equipment mechanism main body in a sleeve form and is used for loading sonar equipment; the adjustable sleeve structure is fixed to the tail end of the equipment mechanism body and used for adjusting the extension distance of the tail end camera. The equipment mechanism main body comprises a control handle, a fixed rod, a telescopic rod, a locking device and a tail end angle changing structure; the telescopic rod and the fixed rod are locked together through a locking device so as to extend or retract in a sliding manner relative to the fixed rod; the torsion angle of the tail end angle changing structure is controlled through the control handle. Compared with the prior art, the device designed by the invention is particularly suitable for hidden structure detection with special requirements on detection angles and visual fields, and provides a reliable and efficient technical means for underwater safety operation, project acceptance and emergency investigation.

The invention relates to the technical field of photovoltaic power station operation and maintenance, in particular to a photovoltaic power station hot spot fault diagnosis system based on an unmanned aerial vehicle. The system comprises an unmanned aerial vehicle collection unit used for collecting multi-modal data of a photovoltaic power station; the airborne calculation unit is used for carrying out real-time analysis on the multi-modal data, identifying suspected hot spot faults and generating corresponding recheck instructions; the path planning unit is used for dynamically adjusting a preset flight path of the unmanned aerial vehicle according to the reinspection instruction, generating a targeted inspection path pointing to the suspected hot spot fault, and performing reinspection data acquisition on the suspected hot spot fault area to generate reinspection data; the diagnostic analysis unit is used for receiving the recheck data and carrying out accurate judgment and geographic positioning on the hot spot fault; and the decision and visualization unit is used for generating a diagnosis report according to accurate judgment and geographic positioning of the hot spot fault. And autonomous, accurate and efficient diagnosis of the hot spot fault of the photovoltaic power station is realized.