工业车辆的远程传感器监控和车队跟踪
技术
- 平台即服务 (PaaS) - 数据管理平台
- 传感器 - 流量计
- 传感器 - 气体传感器
- 传感器 - 液位传感器
适用功能
- 物流运输
用例
- 车队管理
客户
未公开
挑战
• 使用工业设备和传感器实施车队跟踪 您如何知道卡车上的泵何时开启或关闭？或者您的移动泵以多少 RPM 运行？如果您的卡车上有真空吸尘器和/或水箱，那么您想知道当前状态、它们的使用方式、是否需要维护，以及使用工业物联网传感器解决方案可获得的其他信息使用 Tools.Valarm.net。
解决方案
我们的客户使用的一些示例： • PWM 传感器适配器，用于监控流量计和流体流量 • 旋钮传感器，用于监控开关以及重型真空等工业设备的开启或关闭 • 4-20mA 传感器适配器，用于监控 H2S、氢气等特定气体硫化物和挥发性有机化合物、挥发性有机化合物 4-20mA 传感器适配器，用于监测储罐中的液体、水和液位 每辆汽车、卡车和拖车上每个盒子中的关键部件是 GSM 传感器集线器。工业设备由盒子中的传感器监控，例如 GPS 和 4-20mA 传感器适配器，它们连接到 GSM 传感器集线器，将所有带 GPS 标记的传感器数据发送到 Valarm Tools Cloud。车辆信息会根据您的需要实时上传。您可以随时在 Tools.Valarm.net 上轻松更改车队车辆的报告频率。您可以使用 Time at Threshold Totalizers 来了解设备已开启和使用的时间。例如，您的 1 台泵或真空吸尘器在上周运行了多少小时？还有累加器，用于准确跟踪您的流量计和资产泵送了多少流体或水。
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
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.
