Leveraging IoT and big data technologies, the system is equipped with multiple high-precision water quality sensors. It collects core water quality data such as temperature, pH, conductivity, dissolved oxygen, ammonia nitrogen, and turbidity around the clock. Users can remotely view data, control equipment, and receive alarms for exceeding limits and comprehensive water quality assessments. It is widely adaptable to various water environment monitoring scenarios.
Traditional water quality monitoring relies heavily on manual sampling and laboratory testing, which suffers from data lag, low monitoring frequency, high labor costs, and the inability to capture real-time water quality fluctuations, making it difficult to meet the demands of modern, refined water environment management. The remote water quality monitoring system breaks through the limitations of traditional monitoring methods. Based on mature IoT transmission technology and big data analysis capabilities, it constructs an automated, intelligent, and unmanned water quality monitoring system, adaptable to routine water quality management in multiple scenarios.
The core of the remote water quality monitoring system relies on professional water quality sensors for data acquisition. Different sensors employ appropriate and precise detection principles to ensure the accuracy and stability of the monitoring data. The ammonia nitrogen sensor employs the ion-selective electrode method, measuring from 0 to 1000 mg/L; the pH sensor utilizes the electrochemical salt bridge principle, covering the full pH range of 0 to 14; the conductivity sensor uses the contact electrode method, detecting data from 0 to 10000 uS/cm; the dissolved oxygen sensor relies on the fluorescence lifetime method, and the turbidity sensor uses the scattering light method, comprehensively covering core water quality monitoring indicators. All sensors possess excellent accuracy and resolution, precisely capturing subtle water quality changes and providing reliable raw data for subsequent analysis.
Real-time water quality data collected by all sensors is stably transmitted to a cloud platform via an IoT link. Staff can remotely view the monitoring data in real time, enabling remote debugging, operation, and management of the monitoring equipment, significantly reducing on-site maintenance workload. The platform features intelligent analysis capabilities, automatically analyzing water quality trends. If monitored parameters exceed standard thresholds, the system automatically triggers an over-limit alarm, enabling early detection and handling of water quality anomalies. Furthermore, the platform integrates multi-dimensional water quality parameters, calculating a comprehensive water quality index through data correlation analysis, forming a detailed and complete water quality monitoring data ledger.
The remote water quality monitoring system is highly practical and adaptable, and can be widely used in various water environment scenarios such as aquaculture, sewage treatment, river management, and reservoir monitoring. It can continuously provide objective and accurate data support for water quality management, ecological protection, and aquaculture production, effectively improving the intelligence and precision of water environment management. It has important practical application value for preventing water pollution and ensuring the stability of the water environment.
This paper addresses：https://www.fengtusz.com/company/1076.html
