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  6. On-site IoT Indoor Air Quality Monitoring System (VOC Sensor)

On-site IoT Indoor Air Quality Monitoring System (VOC Sensor)

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M2MSTREAM

last updated:Oct 24, 2024

グリッドリンク IoTプラットフォーム事業部
グリッドリンク IoTプラットフォーム事業部
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Immediately usable! On-site IoT Cloud

This is a cloud-based indoor air quality monitoring system that combines VOC sensors and IoT systems. It continuously monitors volatile organic compounds (VOCs) such as acetone, benzene, ethanol, toluene, and xylene. The measurement data can be viewed and managed in real-time on client devices (computers, smartphones, tablets), allowing for daily monitoring of indoor air environments in factories, workplaces, research labs, and experimental rooms. Since it is based on a fully-fledged IoT system with remote control functionality, it is possible to customize the implementation of various device controls triggered by the collected data, in addition to data collection. ▶▶▶ For more details, please download the PDF ◀◀◀

    Environmental Survey
アイコン_空気環境監視.png

On-site IoT Indoor Air Quality Monitoring System (VOC Sensor)

アイコン_空気環境監視.png
アイコン_空気環境監視.png

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basic information

【Equipment Configuration】 1. VOC Sensor 2. Sensor Control Device 3. Controller 4. Router * Please prepare client devices (PC, smartphone, tablet) by the user. * The sensor control device, controller, and router are loaned items. They must be returned after the contract ends. ■■About the M2MSTREAM Partner Network Program■■ https://m2mstream.com/partners/index.html By participating in the M2MSTREAM Partner Network Program, you can complement your expertise and resources, enabling you to start new businesses in the rapidly growing IoT solutions market. This allows you to move away from the traditional business model of selling and ending, and instead, continuously create work by collaborating with customers to solve challenges, thereby having a diverse range of business areas.

Price information

We will provide individual estimates. If you would like customization to suit the specific application on site, please consult with us.

Delivery Time

Please contact us for details

Applications/Examples of results

In fixed sources of VOC emissions such as factories, refineries, oil depots, fueling stations, manufacturing processes, and painting, printing, and cleaning processes that use paints and solvents, it becomes possible to take preventive measures before risks become apparent by understanding what employees, customers, and nearby residents are exposed to, as well as grasping the actual emissions into the environment from the perspective of health risks and process management.

catalog(17)

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[Environmental IoT Case] Noise and Vibration Measurement System (Noise and Vibration Level Display) Product Catalog

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[Environmental IoT Case] Hot Spring Monitoring System Product Catalog

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[Environmental IoT Case] Inclination Measurement System (Inclinometer / Tilt Sensor) Product Catalog

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[Weather IoT Case] Composite Weather Observation System Product Catalog

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[Manufacturing IoT Case] Production Equipment Operation + Power Measurement System Product Catalog

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[Environmental IoT Case] Noise Monitoring System (Noise Level Indicator) Product Catalog

[Environmental IoT Case] Noise Monitoring System (Noise Level Indicator) Product Catalog

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[Manufacturing IoT Case] Factory and Workplace Noise Monitoring System (Display Unit and Alarm Light) Product Catalog

[Manufacturing IoT Case] Factory and Workplace Noise Monitoring System (Display Unit and Alarm Light) Product Catalog

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[Manufacturing IoT Case Study] Power Consumption Measurement System for Factories Product Catalog

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[Disaster Prevention IoT Case] Digital Signage for Community and District Disaster Prevention Product Catalog

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[Water-related IoT Case] Remote Water Quality Monitoring System for Landfills Product Catalog

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[Disaster Prevention IoT Case] Disaster Prevention Key Pond Monitoring System Product Catalog

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[Water-related IoT Case] Groundwater Continuous Monitoring System Product Catalog

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[Manufacturing IoT Case] Automatic Power Usage Meter Reading System Product Catalog

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[Renewable Energy IoT Case Study] Hot Spring Monitoring System for Geothermal Power Development Product Catalog

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[Manufacturing IoT Case Study] Industrial Machinery Condition Monitoring System Product Catalog

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[Aquaculture IoT Case] Aquaculture Water Quality Monitoring System Product Catalog

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News about this product(1)

Indoor ventilation condition monitoring

[COVID-19 Measures] Start of Providing Indoor Ventilation Monitoring System | Grid Link Corporation | April 12, 2020

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Grid Link Co., Ltd. (Shinjuku, Tokyo), which operates the IoT platform "M2MSTREAM," will begin providing a cloud-based indoor ventilation monitoring system that visualizes the ventilation status of enclosed spaces where people gather by continuously monitoring carbon dioxide levels. 【Benefits of Implementation】 ■ As a measure against the COVID-19 pandemic, it is essential to thoroughly avoid the "three Cs" (closed spaces, crowded places, and close-contact settings). Ensuring appropriate ventilation based on CO2 levels is crucial to prevent commercial facilities from being classified as "poorly ventilated enclosed spaces." ■ According to the air conditioning and hygiene engineering standards, the reference value for necessary ventilation in a room is approximately 30m³ per hour per person. By counting the number of people present using AI cameras, it becomes possible to estimate and secure the necessary ventilation volume based on occupancy density. ■ Low humidity can dry out the mucous membranes of the airways, weakening their ability to prevent bacterial infections. Humidity sensors can manage the lower limit of humidity levels. ■ By displaying air quality information in real-time on digital signage, it is possible to alert space users and alleviate their concerns.

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グリッドリンク

グリッドリンク IoTプラットフォーム事業部

Information and Communications

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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."

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