グリッドリンク IoTプラットフォーム事業部 Official site

Cloud-based Noise Level Measurement System for the Transportation Industry

Remote monitoring of noise at transportation sites! Achieving a safe working environment.

In the transportation industry, it is essential to minimize health hazards to workers caused by noise and the impact on surrounding residents. Particularly in places like truck terminals and railway-related facilities, accurately understanding noise levels and implementing appropriate measures is crucial. By visualizing noise levels and detecting anomalies early, we can reduce the risk of accidents and create a safe working environment. Our cloud-based noise level measurement system addresses these challenges by monitoring noise levels remotely and providing alert notifications. 【Usage Scenarios】 - Truck terminals - Railway-related facilities - Warehouses 【Benefits of Implementation】 - Risk management through visualization of noise levels - Prompt response through alert notifications - Improvement of the working environment - Compliance with regulations

Related Link - https://m2mstream.com/product/environment/souon-si…

basic information

**Features** - Monitor noise levels from remote locations - Measure maximum, minimum, and equivalent noise levels - Automatic calculation of time-weighted noise levels - Data visualization and CSV file download - Email and alarm notifications for threshold exceedance **Our Strengths** We provide the IoT/AI network infrastructure "M2MSTREAM," which contributes to the realization of highly automated, unmanned, and remote societies. It enables fast automatic processing through real-time data collection and analysis, allowing for the rapid establishment of IoT/AI systems.

Price information

We will provide individual estimates. If you wish for customization of functions, on-site installation, or collection, please consult with us. We also accept inquiries from rental companies and construction/environmental consulting firms.

Delivery Time

Model number/Brand name

M2MSTREAM

Applications/Examples of results

■ By visualizing the noise generated at construction and demolition sites, we can promote the awareness and attention of on-site workers and invigorate site improvement activities. ■ Among the tasks performed as construction work, we can manage and monitor the noise standard values for "specific construction work" that generates significant noise, as defined by government ordinance. ■ By considering the neighboring residents at construction sites and factories, and by recording objective and continuous data on noise, we can help avoid unnecessary troubles. ■ Remote monitoring enables centralized management at the headquarters, reducing the burden of data collection, management, and reporting currently undertaken by site supervisors.

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We provide the IoT/AI network infrastructure "M2MSTREAM," which seamlessly integrates sensing technology, artificial intelligence (AI), communication technology, information technology, and application technology, all of which are essential for realizing a highly automated, unmanned, and remote society. "M2MSTREAM" connects edge devices and the cloud seamlessly, enabling high-speed automated processing through real-time data collection and analysis. It has standard IoT functions necessary for collecting real-world data and remote operation of devices, allowing for the rapid construction of IoT/AI systems by customizing and adding AI functions. We contribute to the realization of a highly automated, unmanned, and remote society through "M2MSTREAM."