Base on Multiple-Hash entropy and Box-Cox analysis and simulation of the battery endurance
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.
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