Select high-quality equipment: Select sensors and monitoring equipment that meet relevant standards, have high accuracy, and good stability, and regularly calibrate and monitor the equipment.Maintain and ensure its normal performance.
Reasonably arrange sensors: Based on the characteristics of the engineering structure and monitoring purposes, scientifically plan the installation position and quantity of sensors to ensure that monitoring data can be authentic.Reflect the status of key structural components.
Data quality control: During the data collection process, real-time judgment and processing of abnormal data are performed, such as removing obvious erroneous data and performing data quality controlData smoothing processing, etc; Adopting multiple data validation and comparison methods to improve data reliability.
Regular comparison verification: Regularly compare automated monitoring data with manually measured data to verify the accuracy of the automated monitoring system.; At the same time, compare and analyze the monitoring data with similar projects to determine the rationality of the data.
Environmental factor correction: Consider the impact of environmental factors such as temperature and humidity on monitoring data, establish corresponding correction models, and eliminate environmental factors.Interference improves data accuracy.
