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Active listening – how AI can optimise performance at noise-constrained facilities
Improving noise management and optimising performance at noise‑constrained facilities, worksites or infrastructure
Are your operations constrained by noise emissions? Increased urbanisation and awareness of environmental health and safety is pushing industrial operators to improve management of noise emissions.
Wood noiseAI classifies sound emissions instantly and as accurately as human experts. Using machine learning, the technology automates the assessment of noise monitoring data, allowing users to optimise operations while protecting their social license to operate.
Instantly and accurately
assess noise data
Focus on operation-related
noise exceedances
Unlock operator time and
production opportunities
The problem with environmental noise monitoring
Environmental noise monitoring is used widely to ensure sound from industrial operations or traffic stays within allowable limits. However, retrieving and analysing high-resolution data streams often requires compromise between timeliness and accuracy.
Most alerts from continuous noise monitoring are due to non-industrial sources such as bird song, wind, road traffic or operation of domestic equipment.
This 'alarm flooding' creates significant costs, often resulting in excessive curtailment of activities and diverting attention from genuine noise alerts or production-critical tasks.
noiseAI reduces false alerts by 95%
Wood has developed an artificial intelligence (AI) based tool that can classify noise events with the same accuracy as subject matter experts, making it possible to exclude extraneous noise from monitored noise data as it is recorded.
noiseAI can reduce alerts by more than 20x (-95%), improving the operator’s ability to avoid or respond to actual noise exceedances while minimising the impact on operations and compliance.
This puts a digital expert at the fingertips of operators and noise analysts to improve productivity without increasing the risk of a non-compliance or complaint.
How it works
noiseAI converts high-resolution acoustic data into actionable insights.
It can be deployed in automated analytics applications in the cloud, on-premises or in hardware at the sensor (edge) when a high-bandwidth network is not available.
Because the technology is sensor and platform agnostic, it can be integrated with your existing measurement and control system.
You can implement noiseAI at low risk and cost through a free demo including analysis of your site's historical noise levels and noise management actions, followed by a monthly subscription without setup fee.
Where noiseAI can help
noiseAI has been successfully deployed for multiple types of industrial sites, including wind energy, ports, construction, refining and mining operations as well as in smart cities.
How noiseAI can improve outcomes at your site
- Classifies sounds as they are sensed, providing deeper and more timely insight that enables bolder noise management action
- Unlocks missed production opportunities, avoiding restrictions by false alarms and overly conservative curtailment while maintaining compliance
- Relieves analysis burden and allows operators to focus on managing production-related noise levels by eliminating the ‘noise’ in the data
- Ensures consistency in noise evaluation, with 24/7 availability
- Supports accountability and transparency for reporting, auditing and quality control. AI performance can be supervised by subject matter experts through regular benchmarking.
- Integrates with existing systems; sensor agnostic and remote-deployable via cloud infrastructure
- Reduces noise management costs; available through a monthly subscription without setup fee
See if noiseAI works for you
You can improve outcomes at noise-constrained facilities and worksites. We use noiseAI to show you how.
As part of a free demo, we can analyse your site's historical noise levels and noise management actions to show how noiseAI can improve productivity at your site without increasing the risk of non-compliance or complaints.
Click the button below and one of our consultants will get back to you shortly to set up a free demo or provide a quote for your organisation.
Be in the know
Matthew Pettersson
Manager, Noise
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