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Meeting London's bus emissions goals with the power of an IoT platform
技术
- 平台即服务 (PaaS) - 连接平台
- 网络与连接 - 无线局域网
适用行业
- 运输
- 城市与自治市
适用功能
- 物流运输
- 维护
用例
- 车载远程信息处理
- 公共交通管理
- 预测性维护
服务
- 云规划/设计/实施服务
- 系统集成
挑战
The City of London set an ambitious goal to create the world’s first Ultra Low Emission Zone in central London by 2020. To meet this goal, London needed to know what every single vehicle is doing in real time. The best solutions go further, gathering and parsing data with even better visibility into any individual vehicle’s operating data and module systems. By 2021, more than 5,000 buses in London’s public transport network will be fitted with sensors, such as HJS Emission Technology’s Selective Catalytic Reduction Technology, which uses cutting-edge particle filters and catalytic converters to dramatically reduce emissions. But in today’s world, blind implementation isn’t enough to meet the strictest of emissions guidelines.
关于客户
Sensor-Technik Wiedemann (STW) is a Bavarian company dedicated to electronic products for the digitalization, automation and electrification of mobile machines with a global reach. Founded in 1985, STW quickly became the source for telemetry solutions used by the world’s leading manufacturers of mobile machines, large vehicles and agricultural equipment. Winning awards from its earliest days, STW is leading the way to a clean, efficient and profitable future. STW is a leader in automation, electrification and digitalization and a specialist in large vehicle and equipment telemetry.
解决方案
STW is adding its TC1 telematics modules to the city’s busses. By tapping into industry-standard CANbus vehicle data systems and transmitting the gathered data wirelessly, users can access everything from real-time emissions data to vehicle faults, GPS-based locations and fuel consumption with the click of a button. This made it a breeze to meet legal certification obligations that the data also be recorded centrally and stored for 60 days while providing live access for remote condition monitoring of exhaust gas treatment systems. The implementation of intelligent algorithms inside the telemetric modules turns big data into smart data—enabling automatic fault alerts and predictive maintenance actions ahead of when they are needed. Once finished with the full installation, HJS will have the ability to pick and choose its capabilities, such as machine learning to optimize routes and operating parameters for better balancing emissions and expenses.
运营影响
数量效益
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