IOT News

Currently, the treatment of urban river water bodies has entered a critical and complex phase. The traditional, labor-intensive approach of manual periodic readings is no longer sufficient to address sophisticated and hidden pollution issues. Many rivers face a recurring cycle of treatment followed by recontamination. A key management challenge is how to quickly and accurately locate pollution sources. Conventional methods relying on regular manual inspections and on-site sampling are not only inefficient and costly but also fail to detect sudden or intermittent illegal discharges. This makes tracing pollution sources extremely difficult, severely hindering the effectiveness of water environment management.

To address this, WideIOT provides a highly reliable online river sewage monitoring and management system to enable precise and rapid pollution source tracing. The solution is built around WideIOT industrial intelligent gateways. By deploying data acquisition terminals at key river cross-sections, major discharge outlets, and upstream pipe network nodes, the system connects in real-time to various online water quality and flow monitoring instruments. Data is then transmitted stably to a central regulatory platform via 4G/5G networks. Through the platform's visual interface, managers can gain a comprehensive view of dynamic changes in water quality across both the river and the pipe network. When an anomaly occurs, the system quickly correlates upstream and downstream data to accurately pinpoint the source of pollution, saving valuable time for rapid enforcement and effective treatment.

Key Features

Multi-Source Data Integration and Acquisition

The gateway is equipped with abundant RS485/RS232 serial ports, Ethernet ports, and I/O interfaces, allowing connection to multi-parameter water quality analyzers, flow meters, water level gauges, conductivity meters, and other devices. It can collect real-time data on key indicators such as COD, ammonia nitrogen, total phosphorus, pH, dissolved oxygen, turbidity, water level, and flow rate, building a comprehensive three-dimensional monitoring network for the river.

Data Resume (Breakpoint Resumption) and Communication Reliability

Given the complex outdoor monitoring environment and potentially unstable network signals, the gateway supports data resumption upon, multi-network backup, and automatic reconnection. In the event of a network interruption, data can be cached locally. Once the network connection is restored, the system automatically uploads the historical data, ensuring the continuity and completeness of the monitoring record and providing a reliable data foundation for traceability analysis without missing any abnormal fluctuations.

Visual Analysis and Smart Alerts

The platform supports various visualization formats, including GIS maps, real-time dashboards, historical trend curves, and data reports, allowing users to intuitively view the dynamics of each monitoring node. Data comparison and correlation analysis are supported by time, river segment, discharge outlet, and other dimensions. The system also features automated alerts, notifying responsible personnel via WeChat, SMS, or email when pollution is detected, enabling rapid localization.

Rapid Pollution Source Tracing

By incorporating the topological relationships of the river and pipe network, managers can perform joint analysis of monitoring data. When a water quality alert is triggered for a specific river segment, the system can automatically trace back historical data from its upstream discharge outlets and pipe network nodes. This quickly identifies the source segment showing abnormal fluctuations in water quality or flow, forming a digital evidence chain of "downstream pollution – upstream traceback – point source localization," significantly shortening the inspection period.

Cloud Storage and Long-Term Management

All monitoring data can be stored in the cloud or on local servers (e.g., MySQL, SQL Server databases), meeting the requirements of environmental protection departments for long-term archiving, performance uation, and law enforcement evidence collection. Based on long-term accumulated data, it is also possible to analyze regional water environment trends and assess the effectiveness of treatment projects, providing a scientific basis for refined and long-term management of river systems.