Radar starts by assessing the suitability of DMAs for acoustic logging, identifying where and how acoustic monitoring can deliver the greatest benefit. By utilising optimised deployment plans, showing the siting and number of loggers required to achieve effective coverage, alongside proactive post deployment reviews, Radar creates a culture of higher engagement and performance across deployment teams.
Whilst it’s often challenging to fully understand how effective acoustic logging will be in individual areas, applying this knowledge across a whole company can be a mammoth task. It’s not unusual for this to lead to acoustic solutions being deployed in DMAs where they are less effective, which could easily be avoided by systemising suitability analysis from the start and capturing post deployment lessons learnt.
Using advance spatial analysis, Radar identifies the maximum achievable coverage in each area, ensuring acoustics are only deployed where they can deliver a tangible benefit. Our optimised deployment plans identify the key deployment locations inside each area, providing a blueprint for deployment teams, which can be further enhanced with onsite lessons learnt as part of an ongoing improvement process.
We use our 3Cs approach of Connected, Communicating and Contributing to understand the benefit that individual loggers are delivering, enabling more effective sub-DMA strategy that moves away from expensive blanket logging approaches. Developed in partnership with UK water companies, Radar provides a modern, data-driven, perspective on acoustic logging, by replacing guesswork with evidence, it drives better planning and smarter leakage detection strategies.
Click into the interactive graphic below to learn more about some of the factors to consider when deploying an acoustic logging fleet.
Identifying where noisy PRVs interfere with logger noise measurements improves deployment efficiency.
Loggers that become disconnected from their fittings can transmit misleading data representative of the noise it can detect from the bottom of a chamber.
Where loggers are placed on sections of network that have never burst, are they delivering value for money?
By comparing timelines of bursts and repairs, acoustic loggers’ performance can be validated.
Where a logger’s signal cannot be detected, the logger is not delivering value for money.
Heavy industrial users are another common source of ambient noise that can reduce a logger’s utility when placed too close.
It is not uncommon to find that not all fixtures on a network can be logged. Determining the extent to which a network can be effectively covered informs decision making.
It is not uncommon to find that not all fixtures on a network can be logged. Determining the extent to which a network can be effectively covered informs decision making.
Radar automatically assesses which assets will deliver the most cost effective route to maximum achievable coverage.
Radar automatically assess which assets on a network will deliver the most cost effective route to maximum achievable coverage.
Radar automatically assess which assets on a network will deliver the most cost effective route to maximum achievable coverage.
Radar evaluates how suitable each area is for acoustic logging, taking into account network structure, materials, and available assets. This ensures logging is only deployed where it will deliver meaningful results, avoiding wasted effort and resources.
The system replaces manual planning with a data-driven approach, calculating the ideal number and placement of loggers required for optimal coverage. This allows teams to deploy with confidence, maximising return on investment while avoiding over- or under-logging.
Radar compares optimised deployment plans against what was actually achieved in the field, producing a clear post-deployment score. Combining deployment scores with onsite feedback highlights where performance can be improved, helping teams refine future strategies.
Radar visualises the coverage achieved in practice versus the expected coverage from the plan, providing a transparent view of performance. Over time, it tracks fleet effectiveness, revealing blind spots and ensuring every logger delivers benefit.
By understanding network performance and acoustic logger effectiveness at a sub-DMA level, Radar allows the development of highly localised deployment and maintenance strategies, ensuring permanent deployments are targeted where they can deliver the greatest return on investment.
Click the video below to see the deployment optimiser in action.
