德国铁路的 Camunda BPM
公司规模
Large Corporate
地区
- Europe
国家
- Germany
产品
- Camunda BPM
技术栈
- Java
- Liferay
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 应用基础设施与中间件 - API 集成与管理
适用行业
- 铁路与地铁
适用功能
- 商业运营
用例
- 过程控制与优化
服务
- 软件设计与工程服务
关于客户
德国铁路是世界上最大的运输和物流公司之一。其最重要的 ICT 解决方案合作伙伴是 DB Systel。DB Systel 拥有 3,400 名员工，负责规划、开发和运营整个德国铁路集团的约 600 个高效 IT 应用程序。作为德国铁路所有自然保护问题的中心联络点，2013 年启动了“专业信息系统保护和补偿”（FINK）。为了满足众多内部和外部利益相关者的需求，DB Systel 咨询了外部专家。
挑战
德国铁路是全球最大的运输和物流公司之一，它面临着一项挑战，即向联邦铁路局和其他国家当局提供赔偿义务报告的流程繁琐复杂。该流程由人工控制，涉及德国铁路各子公司的员工以及外部顾问。该项目旨在缩短处理时间并建立统一的集团范围的方法，包括赔偿承诺。项目的要求在开发过程中不断演变，因此需要采用敏捷方法。
解决方案
DB Systel 与 Ancud IT 和 econauten 合作，实施了 Camunda BPM 以实现该项目。该项目被定性为创新项目，团队选择了敏捷方法。之所以选择 Camunda BPM，是因为它与 BPMN 2.0 一致，可以轻松创建可执行流程模型。Camunda 的许可模式是开源的，也是一个决定性因素。Camunda 在做出艰难决定时为团队提供了支持，为项目的成功做出了重大贡献。
运营影响
数量效益
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
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
A modern locomotive, for example, has as many as 200 sensors generating more than a billion data points per second. Vibration sensors surround critical components, video cameras scan the track and cab, while other sensors monitor RPM, power, temperature, the fuel mix, exhaust characteristics, and more.Most of today’s locomotives lack sufficient on-board processing power to make full use of all this data. To make matters worse, the data from different subsystems, such as the brakes, fuel system, and engine, remain separate, stored in isolated “boxes” that prevent unified analysis. The data is available, but the technology needed to process it in the most effective manner is not. As new sensors are added to the machine, the problem escalates.
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.
