College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130026, China.
Sensors (Basel). 2019 Oct 23;19(21):4615. doi: 10.3390/s19214615.
Groundwater dynamic monitoring of assessment points and evaluation areas has a significant predictive effect for controlling the occurrence of disasters. Obtaining water level and water temperature change data can provide important theoretical significance and reference values. However, in some remote areas of China, the measurement data concerning water level change are mostly obtained by manual measurement. This measurement method not only wastes manpower, but also cannot ensure the accuracy and real-time nature of the data. Therefore, this paper carried out research and design on a fluviograph, based on the relationship between hydraulic pressure and water depth. In the paper, the fluviograph used ultra-small pressure sensors to complete the data acquisition of the water level, a STM32L011 single-chip microcomputer (STMicroelectronics, Geneva, Switzerland) to process the data, and LabVIEW software to display the final data. Additionally, the water level data record and water temperature information record can be fed back to the user and the manager. After laboratory testing, the water level variation error range of this fluviograph was 1-2 cm, and the water temperature error range was less than 1 °C, which indicates the accuracy of the metrical data. The results show that the fluviograph realizes the function of automatically recording the water level and water temperature of the monitoring point, and it improves the social production efficiency greatly.
地下水动态监测评估点和评估区对灾害发生的控制具有重要的预测作用。获取水位和水温变化数据可为相关研究提供重要的理论意义和参考价值。然而,在中国的一些偏远地区,水位变化的测量数据大多是通过人工测量获得的。这种测量方法不仅浪费人力,而且不能保证数据的准确性和实时性。因此,本文基于水压与水深的关系,对水尺计进行了研究和设计。本文中的水尺计使用超小型压力传感器完成水位数据采集,STM32L011 单片机(意法半导体,瑞士日内瓦)进行数据处理,LabVIEW 软件显示最终数据。此外,还可以将水位数据记录和水温信息记录反馈给用户和管理人员。经过实验室测试,该水尺计的水位变化误差范围为 1-2 厘米,水温误差范围小于 1°C,表明了计量数据的准确性。结果表明,该水尺计实现了自动记录监测点水位和水温的功能,极大地提高了社会生产效率。