Monitoring and assessment of underground climatic conditions using sensors and GIS tools

Jha, Anand K.; Tukkaraja, Purushotham

doi:10.1016/j.ijmst.2020.05.010

Cited by 30 publications

(17 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The emergence of modernistic sensors gives rise to concise data monitoring and analysis opportunities, enabling real-time smart monitoring and design control actuation systems at a substantially lower cost than expensive conventional equipment in the market (Sawka and Friedl 2018;Sharma et al 2020). With recent technological advancements (enhancing capabilities in deploying sensor modules for workplace monitoring and predicting user thermal comfort assessment), respective implementation concerns are gaining importance in industrialized developing countries to keep the targeted audience well aware of the prevalent thermal conditions (Devi and Roy 2017;Chen et al 2018;Jha and Tukkaraja 2020). Several leading manufacturers have recently introduced low-cost environmental sensors with tremendous integration capabilities with microcontroller units to perform specific desired operations.…”

Section: Introductionmentioning

confidence: 99%

“…Several leading manufacturers have recently introduced low-cost environmental sensors with tremendous integration capabilities with microcontroller units to perform specific desired operations. Furthermore, several studies have implemented advanced sensor modules with Arduino microcontroller to serve as a low-cost data acquisition system with potential benefits such as easier implementation, open-source availability, compactness, energy savings, quick response rate, good reliability and precision level (Das et al 2017;Devi and Roy 2017;Chen et al 2018;Sawka and Friedl, 2018;Aryal and Becerik-Gerber, 2019;Jha and Tukkaraja, 2020;Sharma et al 2020;Deniz et al 2021). Due to these potential benefits, there has been an increasing trend in implementing prototype systems demonstrating various industrial applications and educational purposes.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analyzing occupational heat stress using sensor-based monitoring: a wearable approach with environmental ergonomics perspective

Sharma

Suri

Kant

2022

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

Occupational heat stress could impose a greater risk of heat-related morbidities among the exposed users, declining their work productivity and contributing to a financial burden. This necessitate the implementation of adequate preventive measures and control policies to improve the users' well-being and productive capacity. The emergence of modernistic sensors gives rise to workplace heat stress monitoring at a substantially lower cost than expensive conventional equipment. Present work unveils the productive role of sensor-based safety helmet, which could monitor the environmental variables, heat stress indices, and users' physiological variables as an indicator of heat strain. The proposed safety helmet was tested under three different work environments with users' engaged in specific work activities. Notable variations were perceived among the measured data under respective work conditions and physical activity performed. Higher heat risk exposures were attributable to the outdoor condition compared to indoor work conditions. For wet bulb globe temperature index, strong association (p-value < 0.01) was observed with fighter index of thermal stress (R 2 -value = 0.959) followed by discomfort index (R 2value = 0.899) and heat index (R 2 -value = 0.867). Results revealed a rise in measured physiological parameters under the heavy workload activity (shoveling task; outdoor location) followed by hacksaw cutting task (indoor location), while least values were associated with light workload activity (drilling task; indoor location). The proposed design intervention could be considered an effective site-specific solution for monitoring heat stress exposures and keeping exposed users well aware of the prevalent thermal work conditions at the individual level.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analyzing occupational heat stress using sensor-based monitoring: a wearable approach with environmental ergonomics perspective

Sharma

Suri

Kant

2022

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…The general framework of Industry 4.0 is usually composed of four layers: physical (devices), network (related to connectivity), big data (how the data is stored), and (final) application [ 3 ]. Sensors have many potential industrial applications in a wide range of fields: biomedical [ 4 ], operation and maintenance in civil construction [ 5 ], reinforcement of building structures [ 6 ], air quality monitoring due to traffic [ 7 ] or its noise [ 8 ], bridge structural monitoring [ 9 ], railway infrastructure monitoring [ 10 ], mine shaft monitoring [ 11 ], mine underground monitoring [ 12 , 13 ], risk management [ 14 ], and several other industrial applications related to productivity and product improvement [ 1 ].…”

Section: Introductionmentioning

confidence: 99%

Sensing Technology Applications in the Mining Industry—A Systematic Review

Duarte

Rodrigues

Branco

2022

IJERPH

View full text Add to dashboard Cite

Introduction Industry 4.0 has enhanced technological development in all fields. Currently, one can analyse, treat, and model completely different variables in real time; these include production, environmental, and occupational variables. Resultingly, there has been a significant improvement in the quality of life of workers, the environment, and in businesses in general, encouraging the implementation of continuous improvement measures. However, it is not entirely clear how the mining industry is evolving alongside this industrial evolution. With this in mind, this systematic review aimed to find sensing technology applications within this sector, in order to assist the mining industry in its goal to evolve digitally. Methodology: The research and reporting of this article were carried out by means of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results and discussion: A total of 29 papers were included in the study, with sensors being applied in several fields, namely safety, management, and localisation. Three different implementation phases were identified regarding its execution: prototype, trial, and (already) implemented. The overall results highlighted that many mechanisms are in need of improvement in underground settings. This might be due to the fact that underground mining has particular safety challenges. Conclusions: Ventilation and mapping are primary issues to be solved in the underground setting. With regard to the surface setting, the focus is directed toward slope stability and ways of improving it regarding monitoring and prevention. The literature screening revealed a tendency in these systems to keep advancing in technologically, becoming increasingly more intelligent. In the near future, it is expected that a more technologically advanced mining industry will arise, and this will be created and sustained by the optimisation of processes, equipment, and work practices, in order to improve both the quality of life of people and the health of the environment.

show abstract

“…There have been studies to prevent collisions between workers and equipment using Bluetooth beacons [6][7][8][9], radio-frequency identification (RFID) [10,11], and wireless access points (APs) [12,13] in an underground mine environment. In addition, there have been studies to measure environmental factors in underground mines using open-source hardware such as Arduino [14][15][16][17] and Raspberry Pi [18,19]. Studies have also been conducted to vividly visualize the workplace of underground mines or perform safety training using augmented reality (AR) [20,21] or virtual reality (VR) [22][23][24][25][26] technologies.…”

Section: Introductionmentioning

confidence: 99%

Self-Driving Algorithm and Location Estimation Method for Small Environmental Monitoring Robot in Underground Mines

Kim¹,

Choi²

2021

Computer Modeling in Engineering &Amp; Sciences

View full text Add to dashboard Cite

In underground mine environments where various hazards exist, such as tunnel collapse, toxic gases, the application of autonomous robots can improve the stability of exploration and efficiently perform repetitive exploratory operations. In this study, we developed a small autonomous driving robot for unmanned environmental monitoring in underground mines. The developed autonomous driving robot controls the steering according to the distance to the tunnel wall measured using the light detection and ranging sensor mounted on the robot to estimate its location by simultaneously considering the measured values of the inertial measurement unit and encoder sensors. In addition, the robot autonomously drives through the underground mine and performs environmental monitoring using the temperature/humidity, gas, and particle sensors mounted on the robot. As a result of testing the performance of the developed robot at an amethyst mine in Korea, the robot was found to be able to autonomously drive through tunnel sections with ∼28 m length, ∼2.5 m height, and ∼3 m width successfully. The average error of location estimation was approximately 0.16 m. Using environmental monitoring sensors, temperature of 15-17 • C, humidity of 42%-43%, oxygen concentration of 15.6%-15.7%, and particle concentration of 0.008-0.38 mg/m 3 were measured in the experimental area, and no harmful gases were detected. In addition, an environmental monitoring map could be created using the measured values of the robot's location coordinates and environmental factors recorded during autonomous driving.

show abstract

Monitoring and assessment of underground climatic conditions using sensors and GIS tools

Cited by 30 publications

References 7 publications

Analyzing occupational heat stress using sensor-based monitoring: a wearable approach with environmental ergonomics perspective

Analyzing occupational heat stress using sensor-based monitoring: a wearable approach with environmental ergonomics perspective

Sensing Technology Applications in the Mining Industry—A Systematic Review

Self-Driving Algorithm and Location Estimation Method for Small Environmental Monitoring Robot in Underground Mines

Contact Info

Product

Resources

About