通信与信息技术Issue(4)：18-22,5.
基于多重熵Hash及Box-Cox蓄电池续航时长分析与仿真
Base on Multiple-Hash entropy and Box-Cox analysis and simulation of the battery endurance
摘要
Abstract
In modern industrial production,batteries serve as a crucial guarantee for the continuous operation of communication net-works after power outages,then playing a vital role in mitigating network-related risks.At present,the intelligent management level of batter-ies in the communication industry is not high,particularly the absence of management for battery remaining lifespan and endurance,which leads to the inability to effectively schedule maintenance work after power outages.To address this problem,a method of Multiple-Hash en-tropy was designed to enhance the efficiency of operation data matching.Additionally,a solution method of Box-Cox stabilized endurance was proposed,using the log-likelihood function to obtain optimal parameters.Experimental results demonstrate that for large volumes of op-erational data from communication equipment rooms,the utilization of Multiple-Hash entropy in the design of data structures,along with the optimal Box-Cox algorithm implemented in a sequential processing manner,achieved a high accuracy calculation of battery endurance.This approach realized a simulation for the precise calculation of battery endurance in communication equipment rooms,and its feasibility was af-firmed in practical production applications.关键词
多重Hash熵/Box-Cox/对数似然函数/蓄电池/续航时长/剩余寿命Key words
Multiple-Hash entropy/Box-Cox/Log-likelihood function/Battery/Endurance time/SOC分类
信息技术与安全科学引用本文复制引用
邓翠艳,齐小刚,姚旭清,李青云..基于多重熵Hash及Box-Cox蓄电池续航时长分析与仿真[J].通信与信息技术,2024,(4):18-22,5.基金项目
2022年度山西省高等学校科技创新项目"无线传感器网络节点定位方法的研究"(项目编号:2022L663) （项目编号:2022L663）
