Presentation
Subject
Increase water recycling and data safe reuse
Technological module
AI
A. Exploratory research
I. Seoul adopts artificial intelligence to transform water reuse centrism
1. Project carriers
Seoul has announced plans to transform the city’s four wastewater treatment centres into artificial intelligence (AI)-based “intelligent water reuse centres”.
2. Beneficiaries
Who benefit from this project? In some projects, the entity can be non-human, such as a certain type of animal species etc.
3. Users
To this end, an automated sewage treatment system will be introduced in the South Korean capital by 2030.
4. Need
The goal of this project is to help save on personnel time and reduce operational costs.
5. Principle
Key data that affects the sewage treatment process will be collected to create big data sets that the AI system can analyse in real time and use to automatically manage the water qualityow is the project answering to the need? What solution is it offering?
6. Main technologies involved
Key data that affects the sewage treatment process will be collected to create big data sets that the AI system can analyse in real time and use to manage the water quality.
7. Sources
8. Other info
To create the intelligent water reuse centres, the Seoul Metropolitan Government (SMG) said it will establish related smart infrastructures in three stages, beginning this year.
II. Partnership Working
1. Project carriers
It is a partnership between Rockwell Automation and Severn Trent persons
2. Beneficiaries
The company Severn Trent benefits this project.
3. Users
The users are the same as the beneficiaries
4. Need
The need is to identify blockages before an overflow occurs. Alongside, the need is to detect stormwater infiltration before it results in a problem. There also a need to prevent sewer spills before they back up into homes and businesses.
5. Principle
The company has developed and strategically positioned remote field units that help operators identify blockages before an overflow occurs. Alongside, it detects stormwater infiltration before it results in a problem. It also helps prevent sewer spills before they back up into homes and businesses.
6. Main technologies involved
It combines sensors, satellite communication ability and analytics, event notification platform to inform sewer condition in real-time. Issues relating to sewer infrastructure are being managed by AI pattern recognition that has eliminated the need for ‘entering a manhole.’
7. Sources
III. SmartCover Systems
1. Project carriers
SmartCover Systems based in California, US is working closely with wastewater utility leaders across the country
2. Beneficiaries
San Antonio Water System (SAWS) deployed the SmartCover AI-based trend analysis tool combined with 200 remote field units..
3. Users
The users are the same as the beneficiaries
4. Need
The need is to identify blockages before an overflow occurs. Alongside, the need is to detect stormwater infiltration before it results in a problem. There also a need to prevent sewer spills before they back up into homes and businesses.
5. Principle
The company has developed and strategically positioned remote field units that help operators identify blockages before an overflow occurs. Alongside, it detects stormwater infiltration before it results in a problem. It also helps prevent sewer spills before they back up into homes and businesses.
6. Main technologies involved
It combines sensors, satellite communication ability and analytics, event notification platform to inform sewer condition in real-time. Issues relating to sewer infrastructure are being managed by AI pattern recognition that has eliminated the need for ‘entering a manhole.’
7. Sources
IV. AI pilot project aims to make water treatment greener, more efficient and less expensive
1. Project carriers
U of A computing scientists and Edmonton tech company
2. Beneficiaries
The U of A’s Reinforcement Learning and Artificial Intelligence Lab, along with the Alberta Machine Intelligence Institute, an Alberta not-for-profit institute with U of A affiliations, Edmonton infrastructure technology startup ISL Adapt and the Town of Drayton Valley, are partnering
3. Users
Citizens of Drayton Valley
4. Need
Optimizing water treatment, reducing energy emissions and reducing chemical usage
5. Principle
Use the University of Alberta’s artificial intelligence expertise to improve the process of making drinking water safe is up and running in the town of Drayton Valley. There is an AI that will perfectly predict how much chemicals to use based on water quality.
6. Main technologies involved
The main technologies involved will be AI and machine learning
7. Sources
B. Deepening
I. AI pilot project aims to make water treatment greener, more efficient and less expensive
1. Carriers and actors of the project
U of A computing scientists and Edmonton tech company
2. Research question
How artificial intelligence can help cities reduce costs and environmental impact by improving wastewater filtration systems?
3. The reason you selected this project
I chose this project because this innovation, in addition to providing economic relief to the municipality that will implement it, also reduces our negative impacts on the environment.
II. User scenario
1. Users
Town of Drayton Valley and these citizens
2. Persona
At the moment, this project only concerns the city of Drayton Valley, but in the long term, the project could be commercialized and more accessible which will allow it to spread in all cities. So let's take the case of a small but decent sized city that we will call X, it wishes to improve its water filtration system in order to save money in the long run. X decides to contact Edmonton tech company and order their artificial intelligence system and install it. Once the system is installed, the city realizes savings on the chemicals used but also on the filters which due to a bad management of the chemicals wear out more quickly. In addition, the ecological impact of the city is reduced.
3. Key features
- Manage the amount of chemicals used
- Increase the life of the filters
- Improve the taste of the water during seasonal events
4. UX storyboard
III. Technical analysis
1. General principle
An artificial intelligence manages the quantities of chemicals to be used based on predictions it will have made.
2. Technical overview - AI version
The artificial intelligence that deals with chemicals learns in an unsupervised way, it records values that it interprets and that allows it to make simulations in order to foresee different eventualities.
3. Added value thanks to Artificial Intelligence
This innovation will allow to decrease the monetary expenses, in particular for the use of chemicals since it will not put too much or too little of them. Moreover, savings will be made as for the maintenance of the filter since with the good quantity of chemicals the small particles will be perfectly agglutinated between them and it will avoid that the filter clogs up or clogs for nothing. Moreover, with a precise management of chemical products, and a lesser use of resources, it leads to a decrease of the environmental impact that the cities make