This project uses the Internet of Things (IoT) technology combined with the miniaturization of sensors to achieve a wide range of intelligent monitoring sensors, and then transmits on-site information to the cloud system through sensing equipment, integrates water quality monitoring big data for analysis, and conducts real-time data through the information system. Achieve real-time pollution warning work to reduce the harm of external water pollutants to the river water environment, reduce the overall impact level, and create an "intelligent river" with innovative thinking. The "110 Yunlin County Water Quality Sensor Joint Test Application Project" is specially formulated to promote and implement related work. This project completes the installation and connection of 10 monitoring sensors, which are used in environmental audits, water quality sensitive areas and pollution discharge hot spot identification, and site selection changes are carried out according to the needs of the situation. During the execution of the plan, patrol inspection and maintenance work is carried out at least once every two weeks. The results of the offset analysis are almost all within the error range. The correlation coefficient (R2) shows that cleaning and calibration can improve the accuracy. It shows that the frequency of calibration once every two weeks can meet the sensing requirements. In the data value-added analysis part, the overall data reception rate reached 95%, and the data integrity rate reached 95%. In October, the data connection method was changed due to the platform change and the data reception was relatively incomplete during testing. The final report has supplemented relevant information. 40 abnormal events occurred during the implementation period, including: temperature abnormality, EC abnormality, voltage abnormality, value abnormality (0 or no movement), failure of solar panels to charge, equipment interruption, equipment overturning, equipment flooding... etc.. In addition, the sensor abnormality cannot be ruled out and sent back to the original manufacturer for repair. A total of 9 units were sent for repair 14 times. Reasons for repairing include probe abnormality, equipment crash or failure to turn on, failure to connect to calibration software... etc. Due to the sudden heavy rain on August 25, the stream surged. One of the equipment (NO. TW010100EW100126) was washed away by the flood, and the device was immediately notified and reported to the police. Later, another water quality monitoring sensor (NO. TW010100EW100423) was purchased as a replacement. During the implementation period, one water pollution audit report case was completed. On August 17, the inspection platform found an abnormal pH 9.5 in the Niupuzai Creek, and immediately went to the site for inspection and confirmed that the water quality was abnormal. The upstream inspection revealed that there was abnormal discharge of wastewater from the rainwater channel in the Douliu Industrial Park, the pH of which was above 12, and the weather on the site was clear and not raining. Eventually, the source of the wastewater was found to be outflow from the rainwater outlet of ○○ Food Co., Ltd. In addition, 2 environmental application cases were completed during the project period, including abnormal water conductivity in Huilaicuo drainage and abnormal water quality in Shuilin Township petition case. Huilaicuo Drainage had abnormal conductivity on November 23, and it was confirmed at the scene that it was caused by the discharge of wastewater by XX Company. On November 25th, when an abnormality was found, an inspection was immediately dispatched. The concentration of EC on the site has been reduced. No violations were found in the inspection of the wastewater treatment facility with the operators, and the operators were informed that they must abide by the Water Pollution Control Act. In the case of Shuilin Township, the water quality was abnormal on November 8, and the period of its specific pollution has not yet been found. The work progress of the project has reached 100%, which meets the requirements of the contract.

Water quality sensor, Internet of Things (IoT), Environmental monitoring