Construction IoT: Construction Machinery Engine RPM Measurement System
M2MSTREAM
Support for carbon neutrality (CO2 emission reduction) at construction sites.
The majority of CO2 emissions from construction companies' business activities are due to the use of electricity and fuel during the construction phase. As part of efforts toward decarbonization, reducing the fuel consumption of construction machinery, which accounts for about 80% of CO2 emissions during construction, is crucial. There is a need for efficient monitoring of CO2 emissions from construction machinery and support for fuel-efficient operation. This system calculates CO2 emissions based on the correlation between engine speed and CO2 emissions. ▶▶▶ For more details, please download the PDF ◀◀◀
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basic information
【System Equipment】 1. Engine Tachometer 2. Sensor Unit 3. Control Unit (Edge Server) 4. LTE Router (including SIM card) 5. Power Operation Unit
Price information
We will provide individual estimates. If you would like customization tailored to the site, please consult with us.
Delivery Time
※Please contact us.
Applications/Examples of results
【Purpose / Benefits of Introduction】 ■ By adopting a method that indirectly calculates CO2 emissions based on the engine speed of construction machinery, it becomes possible to achieve real-time monitoring of CO2 emissions relatively inexpensively. ■ Real-time monitoring enables the reduction of prolonged idling and unnecessary high-speed operation, supporting fuel-efficient driving. ■ Since the operating hours of construction machinery are affected by weather conditions, using rain gauges and cameras in conjunction allows for a more accurate calculation of CO2 emissions.
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Company information
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."