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Occupational Noise Mapping — Professional Workplace Noise Assessment Software

Occupational noise mapping is the systematic process of measuring, modeling, and visualising noise levels across an entire workplace to identify hazardous exposure zones, calculate individual worker doses, and plan effective noise controls. Unlike simple point measurements, noise mapping provides a complete spatial picture of the noise environment — revealing how noise from multiple sources combines and propagates throughout a facility.

SoundPLANmanda is the professional software solution for occupational noise mapping, used by industrial hygienists, health and safety managers, and acoustic consultants across Asia, the Middle East, and worldwide. It creates 3D facility models, generates color-coded noise maps, calculates daily worker exposure (LEX,8h), identifies mandatory hearing protection zones, and produces compliance documentation for ISO 9612, EU Directive 2003/10/EC, OSHA, and regional regulations.

Why Use Noise Mapping for Workplace Safety?

What SoundPLANmanda Can Do

How Noise Mapping Differs from Point Measurements

Traditional workplace noise assessment relies on a noise survey — an industrial hygienist walks the facility taking dosimeter readings or sound level measurements at various locations and worker positions. This approach has significant limitations: it gives a snapshot in time, it covers only the points measured, and it cannot predict what will happen when equipment changes, production shifts, or new machinery is installed.

SoundPLANmanda creates a 3D computational model of the facility. Once the model is built with accurate noise source data, it can map noise levels across every point in the facility simultaneously, be updated instantly when any source changes, and be used to test engineering control options virtually — before spending money on physical implementation. The model becomes a permanent, updatable asset that grows in value over time as the facility evolves.

Industries Where Occupational Noise Mapping Is Most Valuable

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