The solar insecticidal lamp(SIL)is an innovative green control device.Nevertheless,a major challenge is often encountered when carrying out insecticidal work is low energy utilization efficiency.The substantial energy...The solar insecticidal lamp(SIL)is an innovative green control device.Nevertheless,a major challenge is often encountered when carrying out insecticidal work is low energy utilization efficiency.The substantial energy consumption required to turn on the SIL,coupled with the extension of insecticidal working time during the low pest activity periods,can result in low energy efficiency.Especially when the energy storage level is below 50%,the inefficient use of energy significantly reduces the effectiveness of pest control.Consequently,an ineffective on/off scheme for these lamps may lead to suboptimal energy utilization.In this paper,we present the solar insecticidal lamp intelligent energy management scheme(SIL-IEMS)to address the challenge of inefficient energy utilization in the solar insecticidal lamp internet of things(SIL-IoT).SIL-IEMS primarily utilizes genetic algorithm(GA)and greedy algorithms to optimize insecticidal working time by considering constraints such as residual energy and the number of trap pests.Comparing SIL-IEMS to the traditional remote switching method(TRSM)and the solar insecticidal lamp genetic algorithm(SILGA),our simulation results showcase its superior energy efficiency and pest control effectiveness.Particularly noteworthy is the SILIEMS's 17.6%increase in insecticidal efficiency compared to TRSM and 6%improvement over SILGA when the SIL begins with a remaining energy level of 15%.展开更多
基金supported in part by the National Natural Science Foundation of China(62072248).
文摘The solar insecticidal lamp(SIL)is an innovative green control device.Nevertheless,a major challenge is often encountered when carrying out insecticidal work is low energy utilization efficiency.The substantial energy consumption required to turn on the SIL,coupled with the extension of insecticidal working time during the low pest activity periods,can result in low energy efficiency.Especially when the energy storage level is below 50%,the inefficient use of energy significantly reduces the effectiveness of pest control.Consequently,an ineffective on/off scheme for these lamps may lead to suboptimal energy utilization.In this paper,we present the solar insecticidal lamp intelligent energy management scheme(SIL-IEMS)to address the challenge of inefficient energy utilization in the solar insecticidal lamp internet of things(SIL-IoT).SIL-IEMS primarily utilizes genetic algorithm(GA)and greedy algorithms to optimize insecticidal working time by considering constraints such as residual energy and the number of trap pests.Comparing SIL-IEMS to the traditional remote switching method(TRSM)and the solar insecticidal lamp genetic algorithm(SILGA),our simulation results showcase its superior energy efficiency and pest control effectiveness.Particularly noteworthy is the SILIEMS's 17.6%increase in insecticidal efficiency compared to TRSM and 6%improvement over SILGA when the SIL begins with a remaining energy level of 15%.
