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Smart System-wide Control System for Santa Clara Trains
技术
- 执行器 - 电动执行器
- 功能应用 - 远程监控系统
- 基础设施即服务 (IaaS) - 其他
- 传感器 - 加速度计
- 传感器 - 气流传感器
- 传感器 - 尺寸和位移传感器
- 传感器 - 振动传感器
适用行业
- 铁路与地铁
适用功能
- 商业运营
- 维护
用例
- 机器状态监测
- 远程控制
挑战
Santa Clara Valley Transit Authority 列车系统的关键是基于乘客量和不断变化的汽车配置的灵活性和模块化。
客户
圣克拉拉谷交通管理局
关于客户
圣克拉拉谷交通管理局负责运送硅谷的大部分居民。
解决方案
使用一组来自 Echelon 的 LonWorks® 通信芯片对于监控和保持整个系统在一起至关重要。
收集的数据
Maintenance Requirements, Vehicle Location Tracking, Vehicle Status, Visitor Volume
运营影响
相关案例.
Case Study
Building Smart IoT-Connected Railways
• Difficult environment. Communications equipment on trains must function properly in harsh conditions, such as environment temperatures ranging from -25°C to +85°C, according to the EU standard EN50155.• Railway regulations. All products in a train must adhere to strict standards, relating to working vibration, power consumption, and lifetime.• Lengthy process. Time to market in the railway industry can take years from concept to mass production, so product design requires a solid long term vision.
Case Study
Connected Transportation: A Smarter Brain for Your Train with Intel
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Case Study
Using LonWorks to Keep Acela Trains Zip Along
Canadian transportation company, Bombardier was tasked with building a bullet train system on rails that were designed for lower speed trains. In addition, they had to ensure safe and optimal operation at high speeds, maximize train uptime and enhance communication with passengers.
Case Study
Delhi NCR Metro: A Mobile App Revolutionizing Public Transportation
The Delhi NCR Metro, a major public transportation system in India, was facing a challenge in providing accurate and comprehensive information to its daily commuters and tourists. The lack of a centralized platform for information about metro station details, train schedules, fare details, parking, elevators, and tourist locations was causing inconvenience to the users. The challenge was to develop a mobile app that could provide all this information accurately and conveniently. The app needed to be equipped with GPS services to help users find the nearest metro and renowned locations. An interactive map was also required to assist travelers who were familiar with the metro lines. The goal was to provide maximum information with minimum input.
Case Study
Automated Railcar Inspections Increase Security and Revenue
Providing industry and government customers with intelligent inspection, automation, safety, and security solutions, Duos Technologies Group, Inc. (“Duos” or the “Company” - Nasdaq: DUOT) continually pushes the boundaries of IT. To keep pace with expanding AI-enabled data capture analytics for its edge railcar inspections, the company chose the latest Dell EMC PowerEdge servers.Duos Technologies’ challenge was finding a way to leverage technology as a force multiplier to meet customer requirements for a better, faster inspection process for trains running at full speed. Duos developed innovative data analytic solutions with AI at the edge to conduct more reliable railcar inspections, which are available 24/7/365 in all climates and conditions.
Case Study
Cooperation with VR FleetCare for predictive analytics
Bogies are the most significant components of the rail fleet in terms of lifecycle costs and traffic safety. In addition to creating significant cost savings for the rail fleet owners, data-driven maintenance will enhance safety and the usability of the rolling stock. The predictive maintenance capability will improve reliability of the trains, cost-efficiency and passenger comfort. Train traffic will operate more reliably when it is possible to predict rolling stock malfunctions before they cause disruptions in traffic.
