Ciancetta Fabrizio, Fiorucci Edoardo, Ometto Antonio, Fioravanti Andrea, Mari Simone, Segreto Maria-Anna
Department of Industrial and Information Engineering and Economics (DIIIE), University of L'Aquila, Piazzale Ernesto Pontieri 1, Monteluco di Roio, 67100 L'Aquila, Italy.
LAERTE Laboratory (Italy), ENEA (Italian National Agency for New Technologies Energy and Sustainable Economic Development), Via Martiri di Monte Sole 4, 40129 Bologna, Italy.
Sensors (Basel). 2021 Jan 23;21(3):754. doi: 10.3390/s21030754.
Three-phase induction motors are widely diffused in the industrial environment. Many times, the rated power of three-phase induction motors is not properly chosen causing incorrect operating conditions from an energetic point of view. Monitoring the mechanical dimension of a new motor is helpful, should an existing motor need to be replaced. This paper presents an IoT sensors network for monitoring the mechanical power produced by three-phase induction motors, adopting an indirect measuring method. The proposed technique can be easily adopted to monitor the mechanical power using only one line of current transducer, reducing the cost of the monitoring system. The proposed indirect measurement technique has been implemented on a low-cost IoT system, based on a Photon Particle SoC. The results show that the proposed IoT system can estimate the mechanical power with a relative error of within 8%.
三相感应电动机在工业环境中广泛应用。很多时候,三相感应电动机的额定功率选择不当,从能量角度来看会导致运行条件不正确。如果需要更换现有电动机,监测新电动机的机械尺寸会有所帮助。本文提出了一种采用间接测量方法的物联网传感器网络,用于监测三相感应电动机产生的机械功率。所提出的技术仅使用一路电流传感器即可轻松用于监测机械功率,降低了监测系统的成本。所提出的间接测量技术已在基于光子粒子系统级芯片的低成本物联网系统上实现。结果表明,所提出的物联网系统能够以8%以内的相对误差估算机械功率。