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By using statistical analysis and making use of historical data and machine learning techniques it is possible to determine when new leakage events may occur in your flow network
About
The TÜV SÜD brand is a universally recognised symbol of safety, security and sustainability. As one of the world-leading testing, inspection and certification companies, we are represented by almost 28,000 employees located across over 1,000 locations. United by the belief that technology should better people’s lives, we work alongside our customers to anticipate and capitalise on technological developments. Going beyond regulatory compliance, we inspire trust in a physical and digital world to create a safer and more sustainable future.
Key Benefits
Key Benefits:
·
Independent
service provider providing expert analysis and good-practice guidance
·
Make
data-informed decisions to improve productivity while maintaining efficiency
and hygiene standards
·
Improved
water management to reduce spend and environmental footprint
·
Use
good-news stories to educate internal operatives and stakeholders and utilise
within public relations communications and outreach programs
To implement this software for Coca-Cola, phase 1 of the project would focus on training a machine learning model with historical data from the flow networks of interest to Coca –Cola (training would occur on 80% of the data and then validation would be undertaken using the unseen 20% data). Phase 2 would connect the model to live data (for example via an API call or cloud interface) to allow the results of the model to be output in real time.
Additional software tools available from TÜV SÜD that could be utilised to improve data
collection and monitoring include virtual flow metering that can be used to
verify the in-situ performance of existing flow meters and are also able to
detect faults within the flow meters, and condition-based monitoring (CBM)
tools that can be used to ensure all process equipment is functioning
correctly.
Applications
The software tools and algorithms were originally developed for flow measurement in the oil and gas industry and have been redeveloped for use by the water industry looking at their District Mains Areas. Due to the flexibility of the tools available the software could be used for any system where flow is measured in a network.