Noise Level Monitoring

Solution Group

Industry

Environmental Management
Building and Construction

PoC Duration

Iotellect Match

3-5 days
AI powered Low Code IoT/IIoT Platform

Safeguard your environment and community health with a fully tailored noise monitoring solution powered by an IoT development platform. Gather and analyze noise pollution data from diverse sensors, establish alerts for excessive levels, and enable community members to take action. Leverage insightful reports and visualizations to pinpoint trends and meet regulations. Seamlessly integrate with existing systems to automate noise mitigation measures. Adopt customizable, scalable, and secure solution to optimize your noise management, protecting both people and the environment.

Iotellect is a low code IoT/IIoT development platform. It does not work as an out-of-the-box solution or product. Instead, it helps you to monetize your IoT know-how by dramatically lowering labor costs and cutting time-to-market for your product, service, or solution. It allows business-oriented IoT professionals to join the development process by converting their IoT market knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

Noise Level Monitoring Devices

image
LPWA sensors networks
image
IoT gateways
image
Weather stations
image
Sound level meters
image
Smart microphones
image
Environmental noise monitoring stations
image
Distributed acoustic sensors
image
Industrial noise dosimeters
image
Data loggers and recorders
image
Wearable devices
  • Drivers for Modbus, SNMP, and other protocols common in sensor networks are used to quickly and easily connect a variety of noise level sensors, regardless of their manufacturer
  • The Agent SDK is used to develop custom firmware for sensor hubs and gateways, ensuring the reliable delivery of sensor readings even in locations with poor network connectivity
  • Device snapshots are used to track and change the settings of remote noise sensors, even if they are offline
  • Group operations are used to manage multiple noise sensors as a single entity, for example, all sensors in a particular zone or building

Connectivity and Management

  • Web services (SOAP/REST) are used to expose the real-time noise level data and historical statistics to third-party applications, such as community portals or noise complaint management systems
  • JDBC/ODBC driver is used to store the noise level data in a customer's existing database system, such as PostgreSQL or MS SQL
  • MQTT is used for real-time noise level data distribution to external subscribers, for example, for integration with noise mitigation systems

Integration

  • Low-code expressions are used to define dynamic thresholds for noise levels, taking into account time of day, location, and other factors
  • Statistical process control module is used to calculate and store the historical averages, minimums, and maximums of noise levels, enabling detection of long-term trends and patterns
  • Alerts are used to notify responsible personnel (via email, SMS, or push notifications) when noise levels exceed predefined thresholds or violate dynamic baselines
  • Machine Learning module is used to build models that predict future noise levels and identify unusual noise patterns (anomalies)
  • The reporting module is used to generate custom reports on noise levels, including graphs, charts, and tables

Analytics

  • The UI Builder is used to quickly and easily design dashboards that visualize noise levels in real-time, showing heat maps, graphs, and other interactive elements
  • Geographic maps (using Google Maps, OSM, etc) are used to display sensor locations and noise level readings across a monitored area
  • The auto-run facility is used to automatically open relevant dashboards and reports when a user logs in, providing immediate access to critical information
  • Mobile-friendly web interface is used to allow community members to view noise levels in their area and submit noise complaints from their smartphones

UI/UX

Key Features
of Your Noise Level Monitoring Solution

Customers and Partners

  • System Integrators
  • Original Equipment Manufacturers
  • Industrial and Manufacturing Organizations
  • Local Government and Municipalities
  • Environmental Monitoring Agencies

Solution Users and Developers

  • Dedicated low code developers
  • Environmental monitoring specialists
  • IoT solution architects
  • Facility maintenance managers
  • Noise pollution control officers
Customer success team
Community
Online training

Assistance