Hubei Sewage Treatment Plant Monitoring Project

Water Quality Monitoring Project at Jingshan Wastewater Treatment Plant

As a key wastewater treatment hub in Jingshan City, this facility undertakes the centralized treatment and discharge of regional domestic sewage and a portion of industrial wastewater. It plays a critical role in protecting the local watershed water environment and improving the ecological living environment. With increasingly stringent environmental supervision and rising national and local requirements for effluent quality compliance at wastewater treatment plants, traditional manual sampling and laboratory testing methods present several challenges: long monitoring cycles, delayed data, inability to reflect real‑time water quality dynamics, high operation and maintenance costs, and difficulty in achieving full‑process control. These limitations fail to meet the practical needs of treatment process optimization, compliance supervision, and emergency response. Against this backdrop, Jingshan Wastewater Treatment Plant launched a water quality monitoring project, introducing spectrophotometric online water quality analyzers as the core technology. The project establishes a full‑process, high‑precision, intelligent online monitoring system, overcoming the shortcomings of traditional monitoring and ensuring compliant discharge, thereby contributing to the continuous improvement of regional water environment quality.

Spectrophotometric Online Water Quality Analyzer

Based on the core detection principle of spectrophotometry and strictly following national environmental protection standards, this analyzer achieves precise, real‑time monitoring of key pollution indicators throughout the wastewater treatment process. It serves as the "core monitoring device" for water quality control at the treatment plant. Its key technical features and advantages are as follows:

Core Detection Principle: Based on the Lambert‑Beer law, the device automatically collects water samples, precisely mixes them with dedicated reagents, and performs thermally controlled digestion reactions. This converts target pollutants (e.g., COD, ammonia nitrogen, total phosphorus, total nitrogen) into stable colored complexes. The instrument measures the absorbance of these complexes at specific wavelengths and accurately calculates pollutant concentrations using a standard curve. The entire detection process is fully automated without manual intervention.

Targeted Monitoring Indicators: Based on the process requirements of the wastewater treatment plant, the monitoring focuses on four core pollution indicators: COD (chemical oxygen demand), ammonia nitrogen, total phosphorus, and total nitrogen. This adapts to full‑process monitoring scenarios: influent, process stages, and effluent. Specifically:

COD is measured using the dichromate digestion‑spectrophotometric method.

Ammonia nitrogen is measured using the Nessler's reagent spectrophotometric method.

Total phosphorus is measured using the ammonium molybdate spectrophotometric method.

Total nitrogen is measured using the alkaline potassium persulfate digestion‑spectrophotometric method.
All methods comply with national standard testing requirements, ensuring data accuracy and reliability.

Core Equipment Advantages: The device integrates full‑process functions including automatic sampling, automatic digestion, automatic colorimetry, automatic cleaning, automatic calibration, and intelligent quality control. It achieves 24/7 continuous operation, reducing manual maintenance workload. It features high precision and high stability, with strong anti‑interference capability. It effectively handles challenging conditions such as large fluctuations in water quality, complex composition, and multiple interfering factors in the wastewater treatment process, avoiding the impact of impurities and suspended solids on monitoring data. It supports 4G/NB‑IoT wireless data transmission, enabling real‑time upload of monitoring data to the plant's central control platform and local environmental supervision platform, facilitating real‑time data viewing, historical data retrieval, and anomaly alerts. The device has a compact structure, is easy to maintain, consumes low amounts of reagents, and significantly reduces operation and maintenance costs compared to traditional monitoring equipment. It is well‑suited to the complex on‑site installation and operating environment of a wastewater treatment plant.

The project's monitoring data are interfaced in real time with the environmental supervision platform, enabling remote supervision of the plant's effluent quality by environmental authorities. This promotes a shift in wastewater treatment supervision from "post‑incident investigation" to "pre‑event prevention and real‑time control," further improving the regional water environment regulatory system. Furthermore, the implementation of this project supports Jingshan City in fulfilling its environmental responsibilities, improves the water environment quality of regional watersheds, ensures the safety of production and domestic water for surrounding residents, and promotes the coordinated development of the ecological environment and the economy and society. The project delivers significant environmental and social benefits.