技术简介

构建TPO模型在城市照明系统中的应用，以基于大数据分析为主，利用深度学习和数据挖掘方法对灯杆高度、灯杆间距、灯源功率、灯源类型、人流/车流、气象参数、温湿度、灯源寿命等数据的大数据处理，动态分析并挖掘城市照明用电的需求。

Introduction

The application of the TPO model to the urban lighting system is mainly based on big data analysis. Deeplearning and data mining methods are used to process such big data as lamp post height, lamp post spacingamp source power, lamp source type, people/vehicle flow, meteorological parameters, temperature andhumidity, and lamp source life, so as to dynamically analyze and mine the demand for urban lighting electricity.