3results about How to "Eliminate human interference" patented technology

The application provides a power transformation equipment fault tripping monitoring system, method, medium and program product, and relates to the technical field of power grid fault processing. The monitoring system comprises: a data acquisition system, configured to acquire system operation data of a power grid system; if it is detected that the system operation data contains alarm information of a target substation and position change information of a switch in the target substation, the alarm information and the position change information are sent to a tripping judgment system; the tripping judgment system is configured to determine whether there is an operation and maintenance record corresponding to a time stamp; if not, it is determined that the switch has failed tripping, and the time stamp and a target switch identifier of the switch are sent to a tripping analysis system; the tripping analysis system is configured to determine system operation data of the target substation within a first preset time length corresponding to the time stamp according to the target switch identifier, and generate a fault tripping report of the switch. The application improves data collection efficiency, automatically realizes research and judgment of fault tripping, and further improves fault troubleshooting efficiency and fault processing efficiency.

The present disclosure relates to a dynamic evaluation method and device for the peak regulation and frequency modulation response capability of a battery swap station based on two-dimensional analysis. The method comprises: constructing a multi-working condition evaluation index system for the peak regulation and frequency modulation response capability of the battery swap station, setting evaluation grades and score thresholds according to the grid operation working condition; using a subjective and objective fusion weight distribution method to calculate the comprehensive weights of static dimension indexes and dynamic dimension indexes respectively, and fusing by the product normalization method; calculating the closeness score of the static dimension of the battery swap station; constructing a dynamic response capability evaluation model based on the grey correlation degree method to calculate the grey correlation degree score of the dynamic dimension of the battery swap station; weighting and fusing the static score and the dynamic score to obtain the comprehensive score of the peak regulation and frequency modulation response capability of the battery swap station, and judging whether it meets the standard and participates in the priority according to the preset threshold. The present disclosure constructs a benchmark sequence consistent with the grid dispatching rules for different evaluation working conditions of the dynamic dimension, and improves the accuracy of the grey correlation degree method in the dynamic dimension evaluation.

This invention discloses a method and system for selecting optimal crop rotation based on multi-omics networks, belonging to the field of smart agriculture technology. This invention solves the problems of traditional crop rotation assessment relying on discrete fertility indicators, resulting in lag and false negatives. Its core is to integrate multi-omics data on soil metagenomics, metabolomics, and physicochemical properties. After feature identifier standardization and hierarchical balanced feature selection, an ecological collaborative network including biotic and abiotic components is constructed. Modularity index and average path length are extracted as network topological fingerprints. Simultaneously, inter-group statistical tests are performed on soil physicochemical properties, and Cohen's d effect size is calculated. Finally, the optimal crop rotation pattern is determined through a dual evidence chain of superior network structure and a large fertility improvement effect size. This invention achieves a reliable correlation from soil micro-ecological state to macro-fertility phenotype, providing a standardized and repeatable intelligent screening process that can be widely applied to crop rotation scheme decision-making for sustainable farmland production.