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The data obtained from the sensor are data generated by physical sensors such as temperature, flow rate, and pressure of the RTO. By combining them, the concept of virtual sensors is applied to software calculate new indicator values such as the status of RTO emissions. As real-time data collection of field operations becomes possible, various artificial intelligence machine learning techniques can be applied to preserve the system's prediction. A prediction algorithm may be applied using the acquired data. Table 2 shows the configuration diagram of the monitoring operation program [8, 9].
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