TY - THES

T1 - Recognition and data analysis of mining and earth moving works with a sensor-based system

AU - Laza Martin, Diego Ignacio

N1 - embargoed until 20-09-2024

PY - 2019

Y1 - 2019

N2 - The present document will explain the necessities, application for a sensor-based system and, afterwards, the data analysis requirements for the sensor system from abaut GmbH. The level of automation and sensor collection in current mobile mining and earthmoving equipment is really sophisticated. Because of this, it is possible to know the performance and interaction of the machinery, within various mining processes or earth moving tasks. Around 60% of the total cost of a mine operation are related to mineral extraction by mobile mining equipment. These costs consist of the machinery, their work, consumption of spare parts for repairs, oils and fuels including the team members. One example with now-employed technology, different companies, such as Komatsu or Caterpillar, have reduced operating costs by up to 20% with the use of semi-autonomous and autonomous equipment. This was carried out due to keep a constant production rate, engine performance, and thus leading to energy savings. With recognition and data analysis, not only the reduction of costs but also an improved efficiency of mining and earth-moving tasks including safety and environmental protection is possible.

AB - The present document will explain the necessities, application for a sensor-based system and, afterwards, the data analysis requirements for the sensor system from abaut GmbH. The level of automation and sensor collection in current mobile mining and earthmoving equipment is really sophisticated. Because of this, it is possible to know the performance and interaction of the machinery, within various mining processes or earth moving tasks. Around 60% of the total cost of a mine operation are related to mineral extraction by mobile mining equipment. These costs consist of the machinery, their work, consumption of spare parts for repairs, oils and fuels including the team members. One example with now-employed technology, different companies, such as Komatsu or Caterpillar, have reduced operating costs by up to 20% with the use of semi-autonomous and autonomous equipment. This was carried out due to keep a constant production rate, engine performance, and thus leading to energy savings. With recognition and data analysis, not only the reduction of costs but also an improved efficiency of mining and earth-moving tasks including safety and environmental protection is possible.

KW - Sensoren

KW - Leistungsanalyse

KW - Datenfusion

KW - Künstliche Intelligenz

KW - Sensors

KW - Performance Analysis

KW - data fusion

KW - Artificial Intelligence

M3 - Master's Thesis

ER -