大数据人工智能在化学储能供热系统动态调度中的应用与优化  

Chemical battery data analysis technology for heating system based on big data and artificial intelligence

作　　者：任艳梅[1] REN Yanmei(Puyang Vocational and Technical College,Puyang 457000,Henan,China)

机构地区：[1]濮阳职业技术学院,河南濮阳457000

出　　处：《储能科学与技术》2024年第12期4464-4466,共3页Energy Storage Science and Technology

摘　　要：大数据与人工智能的应用为化学储能供热系统的技术开发,带来了新的研究路径。对此本文对大数据和人工智能技术对化学储能供热系统软硬件升级和配置调度中的优化进行综述分析。事实证明,大数据与人工智能在化学储能供热系统的精细化管理和智能化决策方面均带来了技术革新优化。在操作流程上,大数据技术可以保证化学储能供热系统数据传输、数据处理以及决策分析等方面的智能化、便捷化和准确化;而在系统架构设计上来看,大数据和人工智能技术为化学储能供热系统也带来了优化升级,不仅提高了传感器网络的数据传输效率,还提供了多种逻辑模型算法,实现决策智能优化。The application of big data and artificial intelligence has brought new research paths for the technological development of chemical energy storage heating systems.This article provides an overview and analysis of the optimization of big data and artificial intelligence technologies in the upgrading and configuration scheduling of heating system software and hardware.It has been proven that big data and artificial intelligence have brought technological innovation and optimization to the refined management and intelligent decision-making of chemical energy storage heating systems.In terms of operational processes,big data technology can ensure intelligence,convenience,and accuracy in data transmission,processing,and decision analysis;In terms of system architecture design,big data and artificial intelligence technologies have also brought optimization and upgrading to chemical energy storage heating systems,not only improving the data transmission efficiency of sensor networks,but also providing various logical model algorithms to achieve intelligent decision-making optimization.

关 键 词：人工智能 大数据 电池数据 

分 类 号：TK02[动力工程及工程热物理]