下载PDF
How Y.Share uses EMnify to help fleet operators save 9.5 million liters* of fuel usage
技术
- 功能应用 - 车队管理系统 (FMS)
- 网络与连接 - 蜂窝
- 功能应用 - 远程监控系统
适用行业
- 运输
- 汽车
适用功能
- 物流运输
- 维护
用例
- 车队管理
- 预测性维护
- 远程资产管理
服务
- 系统集成
- 云规划/设计/实施服务
挑战
Y.Share, founded in 2016, aims to help public and private fleet managers achieve their ecological, economic, and safety goals with innovative vehicle sharing and management solutions. Reliable connectivity is the foundation of Y.Share’s solution to monitor fleet operations and manage vehicle access in real-time. However, even when using the strongest network signals, issues are not always ruled out. Having a versatile tool for troubleshooting and counteracting when this occurs is business-critical. For agile, high-growth companies like Y.Share, connectivity management tasks pertain to not only technical and operations teams but also other non-technical teams when the situation calls for it.
关于客户
Y.Share is a company that was founded in 2016 with the goal of helping public and private fleet managers achieve their ecological, economic, and safety goals. They do this by providing innovative vehicle sharing and management solutions. The company is headquartered in Milan, Italy and operates in the fleet services industry. Y.Share's offerings revolve around two pillars – a telematics solution for heavy vehicles with the onboard DST Pro device and sharing service for corporate fleets using the EasY.Box IoT key locker. The company has managed over 3000 vehicles, tracked over 250 million kilometers, and analyzed over 7 million operating hours. They have helped fleet managers throughout Italy cut down on 9.5 million liters of fuel usage, equivalent to 3,500 tons of CO2 and 132,000 planted trees.
解决方案
Y.Share uses EMnify's products including the Multi-network IoT SIM and EMnify Portal. The Multi-network IoT SIM provides stable connections for real-time fleet management. The EMnify Portal allows for simple monitoring and control of SIM and device connections. The DST Pro device, connected with the vehicle Controller Area Network (CAN Bus), collects various information on the vehicle dynamics, including brakes, acceleration, fuel consumption, vehicle type, and kilometers traveled. Using Y.Share’s worldwide patented algorithms, the Y.Platform analyzes this data and generates real-time feedback on the driving style quality to drivers via an LED interface. The EasY. Box introduces a simple, modular IoT locker for key sharing and vehicle booking. From a web app, users can book the vehicle and access the key box with ease.
运营影响
数量效益
相关案例.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
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
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.
