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爱立信(Ericsson):2022年联网卡车运输报告(英文版)(20页).pdf

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1、A case study demonstrating cellular IoT value to the transport and logistics industryConnectedTruck Transport2Ericsson|Connected Truck TransportThe transport and logistics industry is facing several significant challenges now and in the immediate future.Established business models have been disrupte

2、d both by Amazon and the global pandemic.The result is a more competitive landscape,squeezed by elevated customer expectations and increased operational complexity,including one-and two-day shipping models,real-time product tracking and concerns over environmental impact.Add to this soaring fuel pri

3、ces,driver shortages and tighter governmental regulations,and the conditions are set for a perfect storm.Many of these challenges can be addressed by adding fleet telematics a technology enabled by cellular IoT-connectivity,giving fleet managers and drivers access to data from an array of onboard se

4、nsors that deliver detailed real-time data and enable more control over fuel consumption,maintenance scheduling,insurance costs,and more.To demonstrate the power of IoT-enabled fleet telematics,we explored two use cases developed together with telematics provider ZF and their connectivity partner Or

5、ange Belgium:truck and trailer monitoring and driver assistance.These two use cases alone can provide cost savings up to 876,000 or just over 6%of a mid-size truck transport companys total cost,a huge amount of money thats left on the table today.Let us show you what IoT-connectivity can do for your

6、 business with the Ericsson IoT Accelerator.ContentsIntroduction02 Understanding the big picture03 Trailblazing ahead with IoTInternet of things05 IoT meets the transport industryA new world of expectations07 Understanding the Amazon effect08 Theres a sensor for that09 A closer look at industry road

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本文主要探讨了物联网(IoT)在运输和物流行业的应用价值,特别是通过案例研究展示了IoT在卡车运输中的应用。主要内容包括: 1. 运输和物流行业面临诸多挑战,包括业务模式被颠覆、客户期望提高、运营复杂性增加、燃料价格上涨、司机短缺和政府监管加强等。 2. 利用IoT的车辆远程信息处理技术可以解决这些挑战,包括预测性资产诊断和维护、安全智能拖车锁、通过轮胎和发动机监控减少燃料消耗、拖车气候控制、车辆、司机和货物跟踪以及地理围栏等。 3. 案例研究分析了两个具体应用:卡车和拖车监控以及司机辅助。卡车和拖车监控可以减少车辆停机时间、减少计划外维修、优化轮胎压力以提高燃料效率、减少盗窃和保险成本。司机辅助可以通过数据驱动的教练和自动行驶记录仪报告来提高燃料效率、降低保险费率、减少行政操作并确保合规。 4. 预计这些应用可以为一家中型欧洲卡车运输公司节省超过876,000欧元或总成本的6%以上,其中三分之一来自司机辅助,三分之二来自卡车和拖车监控。
物流行业如何利用物联网技术提高运营效率? 物联网技术如何帮助卡车运输公司降低成本和提高安全性? 物联网技术如何改善卡车司机的工作条件并提高他们的效率?
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