Research of Multi-layer Distributed Collection Method for Regional Aqueous Environment Monitoring

To address inaccurate pH and temperature values of aqueous environments collected by traditional methods that are subject to the effect of the randomness of sampling, this research proposes a multi-layer distributed collection method for monitoring information of regional aqueous environments. Water quality data were obtained by a three-layer distribution of sampling points using the grid point distribution method, and water quality data were converted into electrical signals by a signal conditioning circuit to avoid the effect of randomness on collection results. The time spent on data collection and delays were calculated to ensure the collection task was completed within the specified time frame. As can be known from the results of empirical tests, the pH and temperature values obtained by the proposed method are consistent with real values, which provides effective technological support for ensuring the safety of regional aqueous environments.