3results about How to "Enable real-time evaluation" patented technology

The invention discloses a forest biomass and carbon library metering technology based on sample plot survey information, the technical scheme comprises a data acquisition system, a data processing and conversion module and a data website module, the data acquisition system is a basic part, and the data processing and conversion module is a core part. And the data website module provides data products and visual display for the user. Each tree is managed through a two-dimensional code, automatic quality control is performed based on historical survey data, forest vegetation biomass and carbon reserve situations of a quadrat and a sample plot are calculated by associating information of each tree of the quadrat and the sample plot, and a forest vegetation carbon sequestration rate and a carbon sequestration function are obtained by comparing previous survey data. According to the system, the investigation efficiency can be greatly improved, the forest vegetation carbon source function can be evaluated in real time, historical data can be used for automatic quality control of each re-investigation, investigation data can be uploaded in real time, and the working efficiency can be improved by more than 20 times through the application of the system.

The invention provides a surface mine unmanned vehicle load evaluation method and device, and relates to the technical field of vehicle safety monitoring, and the method comprises the steps: collecting real-time vehicle load related signal data; performing wavelet transformation on the signal data; de-noising processing is carried out on the converted signal data; according to the denoised signal data, determining a real-time value of the vehicle load through signal reconstruction; calculating the deviation degree of the real-time value and the general value of the vehicle load, and determining the deviation value of the vehicle load; judging whether the deviation value of the vehicle load exceeds a deviation threshold value or not; if yes, determining the reason for generating the abnormal load, and adjusting the links of production operation in time; otherwise, taking the real-time value as historical data to be included in the calculation model of the general value, returning to the step S1, and continuing to monitor. According to the invention, the safety, reliability and efficiency of the operation process of the unmanned vehicle can be improved.

This application discloses a multimodal medical image segmentation method and device with dynamic gating adaptive feature fusion, belonging to the field of image segmentation technology. The method includes: constructing a dynamic gating adaptive feature fusion architecture; the dynamic gating adaptive feature fusion architecture includes: a stochastic modality missing simulator and a medical image segmentation network connected sequentially; the medical image segmentation network includes: an independent feature encoding module, a quality-aware scoring sub-network, a dynamic gating controller, and a decoder connected sequentially; using a historical medical image dataset and the model's total loss function, the dynamic gating adaptive feature fusion architecture is trained using a five-fold cross-validation experiment, and the trained medical image segmentation network is determined as the segmentation model for multimodal medical image segmentation of target areas. This application achieves high robustness segmentation performance for modality missing and quality-impaired scenes by constructing a dynamic gating adaptive feature fusion architecture.