Underground Drainage Network Collection System: Precision Monitoring for Urban Drainage Water Quality Management

The Underground Drainage Network Collection System launched by Fengtu can accurately identify water quality issues in drainage pipe networks, and it is an important tool for promoting the transformation of urban rainwater and sewage separation, and alleviating the pressure of urban water pollution.

System Overview

The Underground Drainage Network Collection System deploys water quality monitoring equipment at key nodes of rainwater and sewage pipelines and drainage rivers to grasp the real-time water quality dynamics of urban drainage pipe networks. Water quality monitoring data is transmitted to the pipe network water quality monitoring system platform and various application systems through a stable and reliable network, achieving the functions of monitoring and early warning of pipe network water quality. Through the construction of this system, real-time water quality monitoring is realized, which can accurately and quickly locate water quality problems. This system is applicable to various water environment application scenarios such as black and odorous water bodies, drainage pipe networks, and river water.

The perception layer, as the core component of the Internet of Things, is a key link in information collection. The equipment in the layer obtains perception information relying on the sensor network.

The network layer, as the hub of data communication, is the main channel for data transmission, mainly using wireless transmission and Ethernet communication technologies.

The communication service layer is mainly responsible for the aggregation and management of data from water quality monitoring equipment, realizing the docking of system data with the integrated management platform, and providing professional, comprehensive and stable data communication services for application layers such as the platform.

The application layer includes the water quality monitoring platform and third-party application platforms, providing information services such as data display and decision analysis for relevant institutions such as operation and maintenance departments and pipeline ownership units. It realizes real-time monitoring of water quality in the monitored area, abnormal alarm and water quality traceability analysis, providing a scientific basis for quickly locating water quality problems.

System Functions

Real-time monitoring and early warning: Real-time monitoring of the environmental conditions of water quality points, and real-time alarm for abnormal situations such as excessive thresholds of water quality indicators in drainage pipe networks and rivers according to pre-set alarm rules.

GIS map display: Intuitively display monitoring points, basic information and real-time status on electronic maps; it can also display monitoring locations, basic information, real-time status and historical status records in text form.

Dispatching and operation management: Fully grasp the operation status of water quality monitoring points. When the water quality of drainage pipe networks and rivers is abnormal, the system automatically conducts accident analysis and efficiently coordinates the collaborative work of relevant departments.

Data analysis: Reorganize, summarize and compare massive water quality data to accurately locate water pollution problems, providing strong support for tracing water quality problems.

System Platform

Fengtu's Underground Drainage Network Collection System, with the help of Internet of Things cloud platform technology and data communication technology, realizes real-time monitoring and alarm, and quickly and accurately locates the operation status of water quality monitoring points. When the water quality of drainage pipe networks and rivers is abnormal, the system automatically conducts accident analysis, efficiently promotes the collaborative work of relevant departments, and helps improve the efficiency and quality of urban drainage pipe network sewage monitoring and treatment.