国庆假期，驱车行驶在山东淄博高新区的街头，最直观的感受是"干净"。车窗外，道路洁净如新，见不到一点积尘和杂物 。 过去，我们总以为这份洁净背后是无数环卫工人的"人海战术"。"现在靠的是'智慧大脑'。"一位当地朋友的话，勾起了《每日经济新闻》记者的好奇心。假 期里一条普通的马路，如何能一直保持这么干净？ "那如果有些犄角旮旯，车没监测到怎么办？"我问道。 为一探究竟，我联系了负责这里环卫作业的淄博中环洁城市环境服务有限公司。质检员魏海没有带我去看扫地车队，而是让我坐上了一辆正在路面巡航的特 种车辆。 "我们不只低头扫地，更要抬头看'数据'。"魏海指着车内的一块屏幕对我说。屏幕上，一条绿色的轨迹线正随着车辆的行驶不断向前延伸。 淄博高新区环卫作业车辆图片来源：每经记者彭斐摄 "绿色代表道路洁净度非常高。这辆车搭载了'集尘负荷走航监测技术'，就像一个移动的'城市诊断师'，实时为道路做'体检'。"话音刚落，屏幕上的轨迹线在 经过一个路口后，突然由绿转黄。"这里积尘超标了。"魏海的语气很平静，仿佛一切尽在掌握。 车辆运行管理系统图片来源：受访者提供 几乎在同一时间，这些数据被实时回传到智慧环卫MES管理平台的调度中心— ...

Core Insights - The article highlights the transformation of urban sanitation in Zibo High-tech Zone, emphasizing the shift from traditional manual labor to a data-driven, intelligent management system for street cleaning [1][10]. Group 1: Smart Sanitation Technology - The sanitation vehicles in Zibo are equipped with "dust load monitoring technology," functioning as mobile "city diagnosticians" that provide real-time assessments of road cleanliness [3][9]. - Data collected by these vehicles is transmitted to a smart sanitation management platform, allowing for immediate identification of areas with excessive dust [6][9]. - The system enables efficient dispatch of cleaning vehicles to address identified pollution points, significantly improving response times [7][9]. Group 2: Efficiency and Management - The entire process from problem detection to resolution can now be completed within 30 minutes, representing a more than 60% increase in efficiency compared to previous manual methods [9][10]. - The integration of AI and data analytics allows for proactive management of urban cleanliness, moving from reactive to proactive strategies [10][11]. - The system supports a cycle of intelligent discovery, efficient response, and scientific prevention, enhancing long-term urban management [11].