Knowledge graph-based oil well data integrity identification method

• Main Authors: JING RUILIN, HAN MING, WEI QUANLI, LIU BAOJUN, YANG YAOZHONG, DONG YAN, DUAN HONGJIE, MA CHENGJIE, YANG QINQIN, GUO JINZHI, TIAN FENG, CHEN GE
• Format: Patent
• Language: Chinese; English
• Published: 08.03.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRIC DIGITAL DATA PROCESSING; ELECTRICITY; PHYSICS; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION

The invention discloses an oil well data integrity identification method based on a knowledge graph, and the method comprises the steps: polling an enterprise switch to capture related information in an industrial internet through employing an SNMP network protocol, and constructing a model to achieve a data cleaning effect; secondly, abnormal and non-abnormal information is filtered through a probability statistics anomaly detection algorithm based on normal distribution, the screened non-abnormal information is filtered through a time dimension detection algorithm, and time points and other related data of IPv6 address number amplification anomaly under the time dimension are found out; and finally, establishing a dynamic knowledge graph to find out association information and association degrees among the abnormal information, and generating a downloadable text document which is displayed in a graph manner. According to the method provided by the invention, more valuable information can be analyzed from an