Abstract: Disclosed are a shield tunnel segment structure and a construction method thereof. The shield tunnel segment structure includes segment blocks sequentially spliced in a circumferential direction. Each segment block forms a closed annular segment structure, and outer diameters of adjacent annular segment structures gradually increase in an axial direction. At least two adjacent segment blocks of the same annular segment structure form an annular inner groove, and at least one segment block of the adjacent annular segment structures is provided with an inner bump which matches the annular inner groove. At least two adjacent segment blocks of the same annular segment structure form an annular outer groove, and at least one segment block of the adjacent annular segment structures is provided with an outer bump which matches the annular outer groove. The annular outer grooves and the annular inner grooves are staggered in the circumferential direction.

Abstract: Methods and apparatuses for implementing customized anomaly detection. A time-series data including a plurality of data points is obtained. Anomaly detection is performed to the time-series data with an anomaly detection model. A feedback associated with an anomaly detection result of at least one data point in the time-series data is received. The anomaly detection model is updated based at least on the feedback through reinforcement learning.

Abstract: A real-time data monitoring system includes a converging time-series generation component to analyze historical data of a time-series to determine converging times for data points of the time-series at various times of a day. Each converging time indicates a predicted amount of time for the respective data point of the time-series to converge. The converging time-series generation component then generates a converging time-series which pairs the converging times with respective timestamps. A data retrieval component of the real-time data monitoring system is configured to dynamically adjust a retrieval time for data points of the time-series based on the converging times of the converging time-series, and retrieve each data point of the time-series at the determined retrieval time from one or more data sources. The real-time data monitoring system processes the retrieved data points of the time-series to generate one or more real-time alerts.