How IIoT can improve the efficiency and safety of wastewater treatment plants

Wastewater treatment is essential for environmental preservation and public health. However, these systems are complex and require careful operation to ensure the quality of the treated water.

The Industrial Internet of Things (IIoT) can be an effective solution for improving the efficiency and safety of wastewater treatment plants (WWTPs). It enables real-time monitoring of key process parameters, enabling the quick and accurate identification and correction of problems.

A study developed and presented at the 31st National Sanitation and Environment Congress by Above-Net in partnership with Hydrosolution evaluated the impact of Industrial IoT monitoring on the productivity of a mobile wastewater treatment plant. The study results showed that smart monitoring can be an effective tool for improving the productivity of wastewater treatment plants.

In the study, a wastewater treatment plant with Bioreactor membrane technology was connected to the controller and equipped with several sensors. The results showed that the monitoring technology helped reduce unexpected shutdowns by 27%, increased productivity by 30%, and extended membrane life by increasing operation within the operating range 95% of the time.

Methodology

To carry out the study, membrane vacuum sensors, booster and backwash pump current sensors and a digital hydrometer were installed to measure negative pressure (TMP), pump currents and effluent production flow – respectively.

How IIoT can improve the efficiency and safety of wastewater treatment plants

The monitoring system uses cross-condition alarms to interpolate information from multiple, non-existent sensors. For example, the membrane fouling level is estimated from the pump current and transmembrane pressure. The maximum allowable pressure is also monitored.

An intuitive control panel allows real-time visualization of all parameters, including effluent production and process trends. This allows for fine-tuning of parameters to improve system performance.

Conclusion

Industrial IoT monitoring enabled cross-referencing information from different sensors to immediately identify problems in the ETE's operations. This enabled problems to be anticipated and adjustments to be made quickly, contributing to increased productivity and a longer lifespan of the treatment plant.

The system also allows real-time viewing of all operational parameters, which makes it possible to identify and correct problems quickly and efficiently.

Furthermore, Industrial IoT monitoring can be used to predict station failures. Analyzing trends in monitoring data can identify patterns that may indicate future failures.


Intelligent Sanitation Operational Management

Application

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