6results about How to "Avoid subjective judgment" patented technology

The invention provides a data quality inspection method, device and equipment based on a large model, a medium and a product, and relates to the technical field of artificial intelligence. The method comprises the following steps: inputting a first prompt word constructed based on data to be subjected to quality inspection into a data quality inspection model to obtain an output result output by the data quality inspection model; inputting the data to be subjected to quality inspection and knowledge data related to the data to be subjected to quality inspection into the data quality inspection model under the condition of determining that the data quality inspection model does not master the knowledge related to the data to be subjected to quality inspection based on the output result, and obtaining a data quality inspection result output by the data quality inspection model; and determining a data quality inspection result based on the output result under the condition of determining that the data quality inspection model masters knowledge related to the data to be subjected to quality inspection based on the output result. The data quality inspection model can perform data quality inspection not only depending on the ability of the model, but also can perform data quality inspection by means of external knowledge data, so that the data quality inspection accuracy is improved.

The invention belongs to the technical field of earthquake risk assessment, and provides a multi-factor calculation method for constructing a space distribution function of a potential source area, which comprises the following steps: selecting a plurality of factors for evaluating the earthquake risk of the potential source area; determining a factor combination participating in calculation of a space distribution function for different earthquake magnitude grades; performing quantitative assignment on each selected factor of each potential seismic source region; and according to the factor combination, carrying out average calculation on the normalized value of each factor in each potential seismic source region to obtain a space distribution function value of the potential seismic source region corresponding to the specific seismic magnitude grade. According to the method, different factor combinations are adopted for calculation for different earthquake magnitudes. The design is based on the understanding of seismic activity control factors of different earthquake magnitudes, so that the calculation result can more finely reflect the relative danger degree of the potential seismic source area on different earthquake magnitude levels, and reliable technical support is provided for compiling a more accurate seismic oscillation parameter zoning map.

The invention discloses a simple moraine lake outburst susceptibility quantitative discrimination method, system and device and a storage medium, and belongs to the technical field of hydraulic engineering, and the method comprises the steps: determining the position of a moraine lake and the physical properties of moraine lake mother glacier; acquiring a current moraine lake area, a moraine lake area expansion rate within seven years, a mother glacier slope degree, a moraine dam backwater gradient, a mother glacier average ice tongue gradient and a distance between the moraine lake and the tail end of the mother glacier ice tongue; judging the area of the moraine lake, the expansion rate of the area of the moraine lake within seven years and the distance between the moraine lake and the tail end of the tongue of the mother glacier; providing moraine lake outburst probability P; and dividing the moraine lake outburst susceptibility through the moraine lake outburst probability P. According to the method, quantifiable terrain parameters are obtained, subjective judgment is not needed, the needed cost is extremely low, time-consuming and labor-consuming field investigation does not need to be carried out, the judgment accuracy of moraine lake outburst susceptibility is greatly improved, and the disaster prevention and reduction requirements of moraine lake outburst can be met.

The invention discloses a historical flood recurrence period determination method based on multi-section flood correlation, and the method comprises the steps: recognizing a hydrological homogeneous region (target river reach) with the flood law having high spatial consistency in a drainage basin, and selecting a section with the most complete data as a reference for precise calibration; and the calibrated recurrence period is scientifically popularized to the whole homogeneous region based on the physical consistency principle. According to the method, the target river reach is screened through the correlation between the multi-section flood and the area, the problem of recurrence period discretization caused by section isolated analysis in a traditional method is avoided, a consistent reference is provided for basin flood control planning, the recurrence period error is controlled within 3.2% through initial determination of the recurrence period range and then accurate calibration through the line adaptation method, subjective judgment is avoided, and the accuracy of flood control is improved. The method can be directly applied to similar mountainous area drainage basins, does not depend on long-sequence observation data, and is remarkable in practicability.

This invention relates to the field of feeding management technology, and in particular to a method and system for automatically adjusting feeding amount based on fish feeding behavior. The method involves acquiring historical feeding status parameters of a target aquaculture pond, including historical environmental data, historical feeding data, historical fish feeding behavior data, and historical feed residue rate. Based on these historical feeding status parameters, a target feeding behavior characteristic for the target aquaculture pond is constructed. The similarity of feeding behavior between the target aquaculture pond and each reference aquaculture pond is determined based on this characteristic. Reference aquaculture ponds with a feeding behavior similarity greater than a preset threshold are marked as candidate aquaculture ponds. The target feeding amount for the target aquaculture pond is determined based on the historical feeding amount and feeding behavior similarity of the candidate aquaculture ponds. This invention enables precise, adaptive, and cross-scenario intelligent decision-making regarding feeding amount by analyzing the historical feeding patterns of fish and matching empirical data from similar aquaculture scenarios.

This invention relates to the field of watershed management technology, specifically to a watershed management method. The method includes: obtaining a pollution source contribution allocation vector corresponding to a target watershed and a nitrogen load allocation vector corresponding to each hydrological transport path in the target watershed; constructing a transport cost matrix based on the landscape connectivity index of pollutants corresponding to each pollution source; the landscape connectivity index is used to determine the smoothness of pollutant flow in the target watershed; constructing a target optimization function constrained by information entropy based on the pollution source contribution allocation vector, nitrogen load allocation vector, and transport cost matrix; solving the target optimization function to obtain the target source-path coupling matrix corresponding to the target watershed; and determining the target management scheme corresponding to the target watershed based on the target source-path coupling matrix. This achieves precise policy implementation for each source and path, customizing control measures from both the source and migration process perspectives, thereby improving the targeting of watershed nitrogen pollution management.