Cloud-based Noise Level Measurement System for the Manufacturing Industry
Remotely monitor noise at the manufacturing site to achieve improvements in the work environment and efficiency!
In the manufacturing industry, understanding noise levels and implementing appropriate measures are essential for managing worker health and improving work efficiency. Noise can lead to decreased concentration and health issues, potentially resulting in reduced productivity. Our cloud-based noise level measurement system visualizes noise levels remotely and quickly detects anomalies, enabling prompt action. This contributes to improving the work environment and ultimately enhancing work efficiency. 【Usage Scenarios】 - Noise monitoring in factories - Noise management at construction sites - Health management of workers - Early detection of noise issues 【Benefits of Implementation】 - Early detection of problems through noise level visualization - Quick response through alert notifications - Improved work efficiency due to enhanced work environment - Contribution to worker health management
basic information
**Features** - Remote noise level monitoring - Data acquisition of 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," contributing to the realization of highly automated, unmanned, and remote societies. It enables fast automatic processing through real-time data collection and analysis, supporting the construction of flexible systems tailored to our customers' needs.
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 attention and awareness of on-site workers and invigorate site improvement activities. ■ Among the tasks carried out as construction work, we can manage and monitor the noise standards set by government ordinance for "designated construction work" that generates significant noise. ■ By considering the concerns of nearby 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."