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AI in water sector
- 1. ARTIFICIAL INTELLIGENCE IN WATER SECTOR A non-academic approach... 27.11.2017 MSc. Kalervo Kylätie / Fluidit LTD
- 2. TERMINOLOGY - A.I. IS: 27.11.2017 Kalervo Kylätie / Fluidit LTD
- 3. Artificial Intelligence TERMINOLOGY 27.11.2017 Kalervo Kylätie / Fluidit LTD Algorithm These are the building blocks of an any A.I and a computer program. AlgorithmAlgorithm Neural Networks For storing data and processing data relations MachineLearning Supervised Learning “A Cat” “A Cat” “A Cat” “A Cat” Reinforced learning Deep Learning 0% Cat 10% Cat 25% Cat 75% Cat 100% Cat Learning in use. A.I. starts to learn why something is a cat. “Animal, four legs, whiskers….." “Not a cat”
- 4. WHAT IS A.I. USED FOR ALREADY? 27.11.2017 Kalervo Kylätie / Fluidit LTD Bottom line is, that A.I. is used to enhance and transform human labor. Education Finance Heavy industry Healthcare Marketing and Sales Customer service Transportation Infrastructure – Water sector? My hypothesis: 1 doctor does one diagnosis in 1 hour. 1 doctor aided with A.I pre- diagnosis could do 10-30 diagnoses in 1 hour.
- 5. WHAT COULD BE THE POSSIBLE USABLE APPLICATIONS IN WATER INDUSTRY? 27.11.2017 Kalervo Kylätie / Fluidit LTD Difficulty Advantage Billing Customer service Pipe connection application process Monitoring water quality Maintaining and updating network information Monitoring overall health of a network and it’s systems Optimizing water production Planning new pipelines Auto repair bots Automated excavation Predicting effects of different events (human or environmental related) Leak detection Communications Forecastig failures Optimizing maintenance routines Automated investment optimization Online simulations
- 6. LEARNING MATERIALS FOR WATER SECTOR A.I. 27.11.2017 Kalervo Kylätie / Fluidit LTD Planning standards Best practices Scada data Billing data Electricity price Groundwate r levels Social media behavior Events in the area Google analytics Network models Network information system Planning information Pipe and machinery prices Material Stock Financial information Human resources Soil information Weather information Emergency center Supervised Learning Reinforced learning Deep Learning “Ok sure, no problem.” Point cloud and height models “Ah…too much data.” +Much more+
- 7. UTILIZATION: NETWORK PLANNING AI PLANTRON 27.11.2017 Kalervo Kylätie / Fluidit LTD Algorithms and Neural networks Supervised Learning Reinforced Learning Learning in action – Deep Learning Hello World! • Daily consumption = 120 l/ person (get data from SCADA.AI) • Average velocity in pipes: 0.6 m/s (try to keep it) • Depth depends on frost / other infra (ask infra data from infra AI) • Cost of pipes per meters is listed here. (GoogleIT) • These are all the earlier plans that have been made … Plantron.message (“Hello World!”) “Plantron: What is the best water main plan for this area?” “With my current calculations:”
- 8. UTILIZATION: NETWORK PLANNING AI PLANTRON 27.11.2017 Kalervo Kylätie / Fluidit LTD “With my current calculations:” “How about this?” “How about this?” “How about this?” “No” “No” “Accepted”“No”
- 9. 27.11.2017 Kalervo Kylätie / Fluidit LTD How would you utilize A.I. in water sector?
Editor's Notes
- Education “Ashok Goel created a teaching assistant for his class in artificial Intelligence. After some tinkering by the research team, Jill found her groove and soon was answering questions with 97 percent certainty.” Finance Robot trading, no need for people running and screaming in stock exchanges. Heavy industry Assembly robots and automatons, Machine vision to spot failures, or welding bots and testing bots. Automatized harbours – In Tampere Kalmar has pilot Inland in Rusko. Hospitals and medicine A.I. Diagnosis based on persons behavior and symptoms compared to all data in all over the world yields better results than single persons opinion. Predict best cancer treatment for a patient based on his/hers medical data (Microsoft) Human Resources & Recruiting A.I. that generates specific question patterns based on candidates CV for preliminary job interview Marketing and sales Google, Facebook countless A.I. implementations Vainu.io – Business lead A.I. Online and telephone customer service Customer Helpdesk robots that regocnize specific keywords and forward people to right subsites Siri etc. Transportation Autonomous cars that can operate without a driver (24 000 driverless cars to Uber from Volvo)