602
3. The obtained results were revealed that minimum PPV observed as 0.191 mm/sec at a
distance of 750m from blast source to the monitoring point. On the contrary, maximum
PPV value (8.6 mm/sec) detected at a 150m distance.
4. The rigorous investigation should be required to monitor the BIGV at various locations
from the blast source to monitor PPVs with the developed system.
6 FUTURE SCOPE
A number of PPVs values obtained by installing more accelerometer sensors (sensor nodes)
which monitor a larger area within a low budget. The GSM RF module has an added feature
i.e., it can be used as a warning system by giving the alarm. Thus, it was utilized for alerting
through the audio signal to the persons working in the mines. LoRa is an RF module which
has a coverage range around 2–15 km. However, integration of IoT with LoRa RF can be
implemented for accessing monitoring data from anywhere in the world which is an emerging
area.
REFERENCES
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. 2002. Wireless sensor networks: a survey.
Computer Networks, 38(4):393–422.
Chen, S., Xu, H., Liu, D., Hu, B., & Wang, H. 2014. A vision of IoT: Applications, challenges, and
opportunities with china perspective. IEEE Internet of Things journal, 1(4):349–359.
Kim, J., Kwon, S., Park, S., & Kim, Y. 2013. A MEMS-based commutation module with vibration sensor
for wireless sensor network-based tunnel-blasting monitoring. KSCE Journal of Civil Engineering,
17(7):1644–1653.
Łuczak, S., Grepl, R., & Bodnicki, M. 2017. Selection of mems accelerometers for tilt measurements.
Journal of Sensors, 2017:1–13, Doi:10.1155/2017/9796146.
Manjiyani, Z.A.A., Jacob, R. T., Keerthan Kumar, R., & Varghese, B. 2014. Development of MEMS
based 3-axis accelerometer for hand movement monitoring. International Journal of Scientific and
Research Publications, 4(2):1–4.
Nimaje, D.S., & Prashanth, R. 2019. Application of MEMS-Based Accelerometer Wireless Sensor
Systems for Monitoring of Blast-Induced Ground Vibration and Structural Health: A Review. IET
Wireless Sensor Systems, Doi:10.1049/iet-wss.2018.5099.
Ragam, P., & Nimaje, D.S. 2018a. Evaluation and prediction of blast-induced peak particle velocity
using artificial neural network: A case study. Noise & Vibration Worldwide, 49(3):111–119.
Ragam, P., & Nimaje, D.S. 2018b. Monitoring of blast-induced ground vibration using WSN and
prediction with an ANN approach of ACC dungri limestone mine, India. Journal of Vibroengineering,
20(2):1051–1062.
Ragam, P., & Nimaje, D.S. 2018c. Selection and Evolution of MEMS Accelerometer Sensor for
Measurement of Blast-Induced Peak Particle Velocity. IEEE Sensors Letters, 2(4):1–4.
3. The obtained results were revealed that minimum PPV observed as 0.191 mm/sec at a
distance of 750m from blast source to the monitoring point. On the contrary, maximum
PPV value (8.6 mm/sec) detected at a 150m distance.
4. The rigorous investigation should be required to monitor the BIGV at various locations
from the blast source to monitor PPVs with the developed system.
6 FUTURE SCOPE
A number of PPVs values obtained by installing more accelerometer sensors (sensor nodes)
which monitor a larger area within a low budget. The GSM RF module has an added feature
i.e., it can be used as a warning system by giving the alarm. Thus, it was utilized for alerting
through the audio signal to the persons working in the mines. LoRa is an RF module which
has a coverage range around 2–15 km. However, integration of IoT with LoRa RF can be
implemented for accessing monitoring data from anywhere in the world which is an emerging
area.
REFERENCES
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. 2002. Wireless sensor networks: a survey.
Computer Networks, 38(4):393–422.
Chen, S., Xu, H., Liu, D., Hu, B., & Wang, H. 2014. A vision of IoT: Applications, challenges, and
opportunities with china perspective. IEEE Internet of Things journal, 1(4):349–359.
Kim, J., Kwon, S., Park, S., & Kim, Y. 2013. A MEMS-based commutation module with vibration sensor
for wireless sensor network-based tunnel-blasting monitoring. KSCE Journal of Civil Engineering,
17(7):1644–1653.
Łuczak, S., Grepl, R., & Bodnicki, M. 2017. Selection of mems accelerometers for tilt measurements.
Journal of Sensors, 2017:1–13, Doi:10.1155/2017/9796146.
Manjiyani, Z.A.A., Jacob, R. T., Keerthan Kumar, R., & Varghese, B. 2014. Development of MEMS
based 3-axis accelerometer for hand movement monitoring. International Journal of Scientific and
Research Publications, 4(2):1–4.
Nimaje, D.S., & Prashanth, R. 2019. Application of MEMS-Based Accelerometer Wireless Sensor
Systems for Monitoring of Blast-Induced Ground Vibration and Structural Health: A Review. IET
Wireless Sensor Systems, Doi:10.1049/iet-wss.2018.5099.
Ragam, P., & Nimaje, D.S. 2018a. Evaluation and prediction of blast-induced peak particle velocity
using artificial neural network: A case study. Noise & Vibration Worldwide, 49(3):111–119.
Ragam, P., & Nimaje, D.S. 2018b. Monitoring of blast-induced ground vibration using WSN and
prediction with an ANN approach of ACC dungri limestone mine, India. Journal of Vibroengineering,
20(2):1051–1062.
Ragam, P., & Nimaje, D.S. 2018c. Selection and Evolution of MEMS Accelerometer Sensor for
Measurement of Blast-Induced Peak Particle Velocity. IEEE Sensors Letters, 2(4):1–4.