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[Development Case] Rockfall Prevention Monitoring System

Monitoring system for tunnel construction using wireless sensor networks.

This is a case study of a system that monitors and prevents collapses during tunnel construction. In tunnel excavation, it is necessary to continuously monitor information such as temperature, humidity, rock surface stress, and moisture content in unstable areas to ensure safer construction, quickly detect abnormalities, and take measures before accidents occur. Conventional methods required moving sensors and other equipment each time the excavation site changed, which limited the effectiveness of monitoring for safety relative to costs. This system uses a wireless network module (WSN) based on Zigbee to centrally manage and monitor strain data from various distributed locations over extended periods. [Challenges] - Ability to monitor from a distance of about 100 meters - Capability for long-term continuous stable monitoring - Output power supply triggers for strain sensors from the measurement node side - Ability to set output timing and integrate it into the measurement node - Easy installation - Delivery within a short lead time (around 3 weeks) - No need for battery replacement for over 3 months - Cost-effectiveness *For more details, please refer to the PDF document or feel free to contact us.

Related Link - http://www.ei-sol.co.jp/casework/prize.html

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【Introduction Effects】 ■ Realization of measurement devices that do not require battery replacement for over 3 months by adopting NI-WSN ■ Achieving stable data communication over a wireless communication distance of more than 100m ■ Resolving issues related to wire cables that arise with the movement of sensor positions ■ Reducing interference with the passage of construction machinery and trucks by eliminating wires *For more details, please refer to the PDF document or feel free to contact us.

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For more details, please refer to the PDF document or feel free to contact us.

[Development Case] Rockfall Prevention Monitoring System

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