2results about How to "Avoid overestimation" patented technology

This invention provides a user incentive and points management method and system for carbon emission reduction behavior, relating to the field of carbon emission reduction behavior management technology. The method includes: acquiring the user's original trajectory information in the target travel behavior, and simultaneously collecting corresponding environmental feature data and equipment motion status data; performing segmentation processing; performing anomaly identification processing on each trajectory segment; performing segment consistency reconstruction processing on trajectory segments containing anomaly segment markers; performing travel mileage calculation processing to obtain the user's actual travel mileage in the target travel behavior, and generating corresponding carbon emission reduction data; performing points generation processing based on the carbon emission reduction data, converting the carbon emission reduction data into user points records; and mapping user points to a preset incentive resource pool to generate incentive resource availability data. This invention improves the autonomy and accuracy of carbon emission reduction behavior management.

The application provides a large model intelligent quality inspection method, device and equipment and medium, relating to the technical field of artificial intelligence, which comprises: performing a preprocessing operation on a multi-modal original data set formed by collecting voice data and text data around the same quality inspection object to generate structured conversation data, then performing rule matching processing, and forming a corresponding rule determination result when the rule is triggered. When the rule determination result is not formed, the structured conversation data is subjected to emotion state recognition and sensitive expression detection to output corresponding detection results and convert them into a structured semantic feature vector; the structured conversation data and the structured semantic feature vector are subjected to semantic analysis to output a semantic determination result, and the rule determination result and the detection result are combined to perform fusion decision processing and generate a quality inspection result through dynamic weighted calculation. The application can effectively fuse multi-source data and output stable and consistent quality inspection results, thereby improving the accuracy of quality inspection.