2results about How to "Easy performance analysis" patented technology

The invention discloses a data mining method based on public safety events, relates to the technical field of data mining, and solves the technical problems that it is difficult to fully analyze data, when the amount of retrieved data is too large, it is difficult to comprehensively analyze the relevance of the data, and it is not convenient to quickly lock the data with stronger relevance to safety time while comprehensively retrieving a large amount of related data; the method comprises the following steps: obtaining multimodal data from different sources, including public area monitoring data, radar sensor data and vehicle sensor data, pre-processing the multimodal data from different sources to form a public safety event data set; according to the spatiotemporal characteristics of the public safety event data and the relevance analysis results of the data in the public safety event data set, establishing a security event relevance grouping; by associating the data in the data set, it is convenient to deeply understand the connection and influence between different events.

This invention discloses a distributed large model token counting method based on trace linking, relating to the field of large model management technology. The method involves collecting token consumption data from the previous day's data via a distributed cloud large model server, uploading this data to Kafka, and receiving and parsing the token consumption data from Kafka via a large model management center. Data from different nodes is integrated based on the trace ID to form complete request chain data. Following a hierarchical and domain-based approach, the large model management center stores user token consumption data in object storage. Finally, based on business needs, the large model management center displays relevant statistical data of message chains within a filtered region.