Technologies

Cloud IoT Solution for Water Treatment System Management


Abstract/Technology Overview

This technology integrates the use of the Internet of Things (IoT) to achieve sustainable and smart management of new and existing water/wastewater treatment systems for water quality monitoring and equipment management. It consists of a customized IoT module and platform in providing a cost-effective approach in monitoring water parameters remotely.

Monitoring systems play a significant role in the daily operation and maintenance of water and wastewater systems. However, current industrial monitoring systems require significant investment and configurations to implement. Hence, the technology owner developed a low-cost solution that enables deployment of the described monitoring system to achieve cost-effective system upgrades and predictive maintenance.

The technology owner seeks to be a service provider and/or partnership with companies from other areas such as renewables, power generation, water utilities, manufacturing, and other treatment systems for testing and installation of the proposed technology.


Technology Features, Specifications and Advantages

The described IoT module and platform is universal and will be able to accept any mix of instruments and PLCs (Programmable Logic Controllers) from different brands or suppliers.

The control platform is easily accessed through any internet browser and does not require any software downloads or installation/modification to any computer or electronic devices.

The philosophy follows the “two-brains, 1 local, 1 cloud” logic, whereby there is always a program that is running the water system locally, while cloud analytics shall send signals back to the local program to advise on changes in parameters and adjust the system to best suit the new situation. That way, even if there is a break in internet connection, the water system shall always run as it was intended (per last configuration).

The proposed IoT service is suitable for new and existing water systems. Monitoring and control are enabled simply by installing a customized IoT enabling module within the control panel or with an additional panel. After simple configurations, such as identifying the existing equipment ports and instrument detection range, all of the data can be transported onto the internet platform.

Further analysis may run on the platform to identify idle periods and command the physical system to run at a lower capacity (achieving power savings). It is also possible to add independent instruments to conduct more detailed diagnostics on water systems and link these instruments seamlessly with existing program over the platform (achieving cost-effective system upgrades)


Potential Applications

The most direct potential applications will be:

1. Modular or smaller water systems whereby using expensive SCADA (supervisory control and data acquisition) systems is not financially feasible.

2. Grouping multiple water systems together (usually smaller plants) and cross analyze each system's performance.

3. Cost-effective way of upgrading existing systems by introducing new instruments and system modules without the need for hardwire integration with the existing SCADA system.

4. Prototyping of new water systems that may benefit from cloud monitoring services.


Customer Benefit

When applied to monitor systems, there are a few significant advantages such as:

1. Energy savings from switching between high operational status to lower operational status based on data monitoring and predictive models.

2. Achieve predictive maintenance by monitoring the total usage lifetime of equipment and production line. Thus, will be able to reduce system downtimes and equipment failures.

3. Cross comparison of similar systems, which allows actual system feedback to cross-examine system design and other local factors.

OVERVIEW
Contact Person

Frank Tan

Organisation

Crystal Clear Environmental Pte Ltd

Technology Category
  • Automation, Control, Communication
  • Monitoring System & Sensor
Technology Readiness Level
  • TRL 9
Keywords

IOT, cloud monitoring, water systems

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