Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

2results about How to "Data collection is reliable" patented technology

A multi-protocol intelligent data acquisition method, system, device and medium for an energy storage power station

This application belongs to the field of data acquisition technology, and particularly relates to a multi-protocol intelligent data acquisition method, system, device, and medium for energy storage power stations. The method includes: acquiring actual message data from energy storage power station devices based on an initial acquisition frequency; identifying the protocol type of the actual message data based on a pre-stored protocol feature library and a hybrid matching algorithm; adjusting the initial acquisition frequency in real time according to the protocol type and the real-time data volume; generating parsing instructions based on the protocol type and its corresponding parsing strategy template; parsing the message data according to the parsing instructions to extract valid data; and preprocessing the parsed valid data to obtain target data. This application improves the efficiency of data acquisition in energy storage power stations.
Owner:HUANENG POWER INT INC HEBEI CLEAN ENERGY BRANCH +2

A data collection and report generation method, medium and device

ActiveCN121117355BAvoid imposing access restrictionsreduce lossesEngineeringSimilarity matching
The present application relates to the technical field of data processing, and especially relates to a data collection and report generation method, medium and equipment, a general access strategy is obtained by analyzing a reference collection node, target collection nodes are screened based on the general access strategy and text data is collected, irregular nodes are removed from the source, and corresponding measures are taken in time when irregular behaviors of the nodes are found, so that the compliance of the collection nodes and the continuity of the collected data are guaranteed; a pre-trained large model is used to analyze the text data to generate an attribute information set, so that the analysis efficiency and accuracy are improved; according to target network site information update time, the multi-source attribute information of a data subject is verified, multi-site data conflicts are accurately identified, and the subject information consistency and the integrity of the feature portrait are ensured; the feature description data of the target identification code and the feature portrait are subjected to similarity matching, multi-source network data is converted into a structured report available for a third-party system, and reliable data collection and report generation are realized.
Owner:BEIJING SHOUFA INTELLIGENT TECHNOLOGY CO LTD