下载PDF
Smart Transportation at Boyaca using Carriots
技术
- 网络与连接 - 射频识别
- 平台即服务 (PaaS) - 数据管理平台
- 传感器 - RFID阅读器
适用功能
- 物流运输
用例
- 车队管理
挑战
在每个节点中完成时间表是服务质量的关键要素,延迟交付会导致大量额外成本(第二次交付)。博亚卡不知道交货的真实时间,他们只是知道收货人和承运人报告的情况,而且两者不一定是一致的。为了接收和处理这些不准确的信息,他们不得不打电话。当交付超时时,公司无法控制延迟发生的时间点,因此无法提高准确性。此外,客户不满意并抱怨,因为他们也因延迟交货而失去销售。尽管涉及大量车辆(数百辆),该公司仍需要在分销链的每个枢纽获得到达和离开时间的直接实时信息,以便以尽可能低的投资控制成本。
客户
博亚卡
关于客户
Boyacá 已经在西班牙处理报纸和杂志的日常递送超过 35 年。其团队由 3.600 多人组成,拥有 63 个物流平台,提供 24x7 服务,每天交付超过 25.000 个
解决方案
为数百辆汽车中的每一辆安装 GPS 定位器是负担不起的,并且通过他们的手机对其进行地理定位是不准确的,并且依赖于他们的手机型号和移动运营商。一百个带有 SIM 卡的 RFID 读卡器发送收集的数据,几千个 RFID 卡构成了工业低成本解决方案。在每个节点中安装一个 RFID 时钟,并为每个驱动程序安装个人 RFID 卡,这是收集信息并使用 Carriots 平台以最低成本将其集成到客户自己的 SQL 数据库中的最佳解决方案。每个节点的准确到达和离开时间 - 以及所需的交付时间不同 - 被实时接收和存储。还可以通过 Web 访问控制面板界面(外联网),以便随时访问信息并管理用户、设备和配置文件。它还允许使用当前和聚合数据创建报告,并处理将数据导出(连接器)到客户端数据库的设置。
收集的数据
Arrival Time, Departure Time, Device Status, RFID
运营影响
相关案例.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Vehicle Fleet Analytics
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.
Case Study
Zonar Takes the Wheel with a M2M Solution
Zonar’s fleet management solutions collect, report and analyze data before, during and after a vehicle’s trip. The company needed Machine-to-Machine (M2M) connectivity to enable communication between in-vehicle devices and back-end systems. To deliver high volumes of potentially sensitive information from and to moving vehicles – and keep pace with its rapid business growth – Zonar wanted a highly secure solution that it could easily manage and that had the required national and global reach.