6 results about "Energy assessment" patented technology

The invention relates to the technical field of artificial intelligence, and provides a mountain wind energy resource dynamic evaluation method and device, equipment and a medium, which can perform attention fusion on multi-dimensional initial data, so that fusion features consider feature importance difference and comprehensiveness. A mountain wind energy evaluation data set with a wind energy power density label is constructed, and a basis is provided for supervised training of the model; the state space completely covers core variables influencing mountain wind energy evaluation, and the problem that a traditional model is insufficient in state space dimension and cannot represent a complex coupling relation is solved. The action space is in non-static output, so that the adaptive capacity of the model is improved; the reward function solves the technical problem that precision and efficiency cannot be considered at the same time; a dual experience playback mechanism improves the evaluation precision of the model on a complex wind field scene; the target network delay updating strategy enables the target network to maintain parameter stability in an iteration period, and the problems of training oscillation and slow convergence caused by real-time fluctuation of target return are solved.

This invention relates to the field of agricultural regulation, and particularly to a method for linking tillage implement condition identification with soil compaction remediation. The method includes: collecting real-time multi-source sensor data during tillage implement operation; obtaining a force-curvature coupling energy factor by performing force-curvature coupling energy assessment and relative difference normalization modulation on a zero-mean resistance data sequence; obtaining a viscous rheological asymmetry factor by performing energy asymmetry ratio assessment and logarithmic difference amplification modulation on a zero-mean resistance data sequence during loading and unloading processes; obtaining operating condition category labels by jointly correcting the basic Euclidean distance and performing clustering; and obtaining a linkage control command for tillage depth and hydraulic pressure by mapping the operating condition category labels to differentiated control strategies for tillage depth and hydraulic pressure. This addresses the problem that existing Euclidean distance clustering cannot distinguish between true high resistance due to compaction and false high resistance due to wet adhesion, leading to malfunctions in tillage depth control.

This invention relates to an energy management method, apparatus, and display screen for a display screen. The energy management method of this application is applied to a display control system. The method includes: analyzing and processing energy parameters acquired by an energy harvester to obtain an energy intensity curve representing intensity changes and stability; processing the energy intensity curve based on a preset energy assessment model to obtain collectable energy data and controlling the energy harvester to collect the energy; the display control system can process the power supply requirements of the display module and the energy conversion information fed back by the energy conversion memory to generate energy allocation instructions to control the energy conversion memory to rationally allocate the converted and stored energy. This method can convert renewable resources into electrical energy, achieving self-powering of the display screen, which is more energy-efficient and environmentally friendly, while also eliminating dependence on the power grid and expanding the application scenarios of the display screen.

The application provides a kind of solid oxide electrolytic cell evaluation system and method, it is related to the technical field of energy evaluation, the system includes: data acquisition module, gas inlet device, power supply device, heating device, gas outlet device and control module, control module adjusts gas inlet device, power supply device and heating device according to real-time working condition parameter and target working condition parameter, and calculates monomer consistency score according to each performance parameter under different target working condition parameters, and evaluates the performance grade of the solid oxide electrolytic cell stack to be measured according to monomer consistency score, realizes the electrolysis experiment of solid oxide electrolytic cell under different working conditions, completes the comprehensive test and evaluation of the performance of solid oxide electrolytic cell.

This invention relates to the field of intelligent monitoring technology for power systems, and discloses a control device and method for a power grid edge monitoring terminal combined with active energy sensing. The device includes: a micro-meteorological sensing module for real-time acquisition of meteorological parameters of the environment where the monitoring terminal is located; an energy prediction module for predicting expected energy gains within a future time window using a time-series prediction model; an energy assessment module for calculating an energy availability score; a mode decision module for dynamically switching the operating mode of the monitoring terminal based on a comparison of the energy availability score with a preset threshold; a defect detection module for real-time defect detection of acquired images or video streams; and a verification decision module for determining whether to trigger a second power consumption mode for defect verification when the defect detection module detects a suspected defect in a first power consumption mode. This invention can significantly reduce the false negative rate of dynamic defects without increasing hardware costs or battery capacity.

The invention relates to the technical field of burn treatment AI energy evaluation, and discloses a burn patient energy evaluation system based on an AI technology. The system comprises an image analysis unit, a stage marking unit, an energy baseline generation unit, a multi-modal fusion unit and a convolutional neural network unit. An infrared thermal image of a burn area is registered with a standard anatomical partition, a tissue metabolism activeness score of the partition is calculated, and a dynamic energy baseline is generated in combination with a time label of a disease course record. And further fusing the continuously monitored resting metabolism rate and blood biochemical indexes, and generating a partition energy time sequence curve after calibration. And splicing the time sequence curve and the thermal imaging feature map, inputting the spliced time sequence curve and the thermal imaging feature map into a three-dimensional convolutional neural network for spatio-temporal feature extraction, and predicting the energy demand of each anatomical partition in the future. According to the method, regional, dynamic and accurate evaluation and prediction of the energy metabolism state of the burn patient are realized, and a basis is provided for individualized nutrition support.