IOT News

In many historic central urban areas, due to a lack of longterm planning in early city development, underground drainage pipelines are often aged and damaged, with mixed and incorrectly connected stormwater and sewage systems, resulting in highly chaotic layouts. As a result, management is both timeconsuming and laborintensive.

During flood seasons or short periods of heavy rainfall, staff face significant pressure from flood control. Traditional management methods rely heavily on manual inspections and resident reports, which are not only inefficient but also fail to provide a clear picture of the realtime operating status of underground pipelines. This makes it difficult to reasonably allocate personnel and resources for maintenance, leading to frequent urban flooding and recurring black, odorous water bodies. These issues severely affect residents' quality of life and leave management departments without accurate data support for emergency dispatch and pollution source tracing.

To address this, WideIOT provides a highly reliable online monitoring system solution for drainage pipelines, replacing manual inspections with round‑the‑clock pipeline monitoring and management. By deploying industrial intelligent gateways, the system can connect to and collect data from water level meters, liquid level meters, flow meters, and water quality monitors. Water level, liquid level, flow rate, and water quality data from various pipeline nodes are transmitted to the management department's platform via 4G networks, enabling realtime monitoring, alarming, management, inspection, and statistical analysis of pipeline status. This provides comprehensive and reliable data support for urban flood prevention, safe drainage, and water pollution control.

Key Functions

Management personnel can view water quality indicators, flow data, and equipment operating status at each monitoring point anytime, anywhere via computer or mobile device. Combined with GIS mapping, the system offers a visual overview of water quality distribution across the pipeline network.

A water quality standard threshold library is established. When indicators such as COD or ammonia nitrogen exceed standards or flow anomalies are detected, the system immediately triggers alarms and notifies responsible personnel via SMS, WeChat, email, and other methods.

By performing realtime comparison and trend analysis of water quality data at pipeline nodes, the system can quickly identify pollution sources and abnormal discharge sections. This provides accurate data support for environmental law enforcement and emergency response, effectively combating illegal wastewater dumping.

Authorized managers can remotely control equipment such as pumps and valves, enabling rapid response to potential issues, improving emergency response capabilities and management efficiency, and preventing the spread of pollution incidents.

Daily and monthly reports, as well as water quality trend charts, are generated to help management departments understand long‑term changes in the regional water environment. These insights provide a strong decision‑making basis for drainage pipeline renovation, sewage treatment scheduling, and scientific pollution control.