Intelligent Farm Meets Edge Computing: Energy-Efficient Solar Insecticidal Lamp Management

Abstract

Energy-efficient solar insecticidal lamp (SIL) management is an important way to promote the full deployment and application of SILs in intelligent farms. To improve processing latency and precision, an edge computing-based energy-efficient SILs management architecture (ECEEM-SIL) is presented. Considering architecture matching, an SILs management mechanism based on edge computing referring to real-time information of pests and energy (ECEEM-SIL-RRIPE) is proposed. Firstly, considering different weather conditions, the pest distribution model and its update method based on edge computing are established. Secondly, the scheduling strategy based on the maximum coverage of active pest periods with the minimum number of working SILs (MaxCAP-MinNWS) is proposed to address the turning <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">on</small> and <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">off</small> scheduling of SILs, while considering the joint optimization of energy consumption and insecticidal efficiency. Simulation results show that compared with the existing preset working period scheduling and unified scheduling strategies, the proposed strategy can improve utilization of energy resources in insecticidal by up to 20%. In addition, the energy supply and consumption of SILs can be more balanced, and the battery deep discharging of SILs can be relieved.