Wagon 4.0 Towards inclusion of the freight rail system in the industrial internet of things Prof. Dr. Raphael Pfaff Prof. Dr.-Ing. Bernd D. Schmidt Prof. Dr.-Ing. Manfred Enning Aachen University of Applied Sciences [email protected] www.raphaelpfaff.net @RailProfAC April 25, 2017 Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 1 / 18 Driving forces in the industry The context of Industry 4.0 provides plenty of concepts useful also for freight rail. Self organisation Mass Customisation Updated value generation and value proposition Enablers: Quelle: Christoph Roser at AllAboutLean.com Internet of Things (IoT) Cyber Physical Systems Ubiquitous Computing Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 2 / 18 Driving forces in the industry Logistics 4.0: Amount of freight moved1 Coal Metals Construction Petrochemicals International Intermodal Other 106 tkm 20 10 1 2014 2012 2010 2008 2006 2004 2002 2000 1998 0 ORR statistics table 13.7 Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 2 / 18 Competitive position and desirable use cases Autonomous lorries Alternative fuels 10 106 tkm Logistics of high value goods becomes more just in time and granular Road transport is working hard to overcome challenges: 5 Construction Intermodal Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail 2015 2010 2005 2000 0 International Other April 25, 2017 3 / 18 Competitive position and desirable use cases Logistics of high value goods becomes more just in time and granular Road transport is working hard to overcome challenges: Autonomous lorries Alternative fuels Rail freight may become more competitive: Smart wagons Autonomous operation Integration into factories of the future Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 3 / 18 Drivers’ and Enablers’ effect on freight rail New value proposition, new market position Contextualisation Right information at the right time Value proposition Cheap wagon becomes valuable, integrated production medium Knowledge based Cooperative functions Self configuration Choose settings according to train Security Against inappropriate operation Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 4 / 18 What are the main ingredients of the Wagon 4.0? Use of service proven subsystems, added value by extension. Cyber Physical Systems Digital representation of vehicle Internet of things Communication Affordable electronics Wearables: Intuitive Interface Ubiquitous Computing Non-noticeable computer assistance Brake system acc. to UIC/TSI WAG Robust, fit for railway usage, safe Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 5 / 18 The concept of the Wagon 4.0 Power Supply: Sufficient power to allow online monitoring Data Network: Connection to sensors, actuators and between wagons Connectivity: Shared 3G/5G for all elements installed Localisation: Galileo/GPS as standard equipment Operating System: open source extendable operating system WagonOS Cloud infrastructure: Containing cyber representation of fleet and algorithms Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 6 / 18 The concept of the Wagon 4.0 Power Supply: Sufficient power to allow online monitoring Data Network: Connection to sensors, actuators and between wagons Connectivity: Shared 3G/5G for all elements installed Localisation: Galileo/GPS as standard equipment Operating System: open source extendable operating system WagonOS Cloud infrastructure: Containing cyber representation of fleet and algorithms Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 6 / 18 Application example: automatic pneumatic brake system By using the Wagon 4.0 infrastructure, it is possible to gain significant advantages through automation of the brake system Mass Customisation for freight rail: Single Wagon Load economically feasible New value propositions Towards Whole-Life-Service Intralogistics use cases: new customer base X-as-a-service “Ad hoc”-train preparation Significant reduction of preparation time Noise reduction Pneumatic noise Cloud based proximity brake Further apps from independent developers Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 7 / 18 Safety concept During mainline operation, the brake system of the Wagon 4.0 is as safe as the UIC system. All states bistable Deactivation of actuators During mainline operation In case of errors Potential exception: ep-assisted brake Not considered in braked weight Additionally Geofencing possible State change only in e.g. shunting yard Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 8 / 18 Necessary manual operations Wagon handling during train formation and handling required plenty of manual operations. Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 9 / 18 Necessary manual operations Wagon handling during train formation and handling required plenty of manual operations. Brake: Buff and draft gear: Connect and Disconnect BP Brake Mode Load Quick Release Detect brake state Operate parking brake Pfaff, Schmidt, Enning (Aachen UAS) Connect and disconnect wagons Vehicle Wagon 4.0: IoT for freight rail Technical wagon assessment April 25, 2017 9 / 18 Economic and operational effects of manual operations Long dwelling time of ready trains Makes single wagon load expensive Requires infrastructure investments Error-prone Personnel increasingly difficult to find Wagon < 4.0 Wagon 4.0 1 Train preparation 39.5 10 Fill Brake Pipe 40 Condition Assessment 1 Tightness 1 1 1 1 1 33.2 Apply brakes Check brake application 33.2 2 2 1 Release brakes Check release 33.2 0 20 40 Time / min Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 10 / 18 Brake assesment and condition monitoring By help of IoT and Big Data-techniques can generate rich information from few, robust and cheap sensors. Continuity C-Pressure values of train Brake apply/release: C-Pressure of wagon Brake mode Feedback changeover Time-behaviour of C-Pressure Load dependent brake Comparison C-/BP-Pressure/Smart Load Braking performance Accelerometer data Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 11 / 18 Self configuration example: Brake mode Brake mode depends on train length and mass. Actuation by servo motor Control Self configuring Backup: control via cloud Prerequisites: Train setup Wagon list Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 12 / 18 App example: Immobilisation brake Depending on context, immobilisation brake can be used for parking, proximity or for shunting of powered wagons. Electrical operation with feedback Control via cloud, train bus or wearable Cooperative behaviour allows implementation of proximity brake function Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 13 / 18 Cooperative feature: ep-assisted brake An ep-assisted brake can be implemented with control from cloud or cooperative function. Indirect ep-Brake Reduces influences Mixed brake setting Block train operation Control: Cooperative Cloud Radio Train Bus Signal running times negligible compared to filling time Not to be considered for braked weight Individual failures acceptable due to indirect operation Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 14 / 18 Brake Operation in Freight Train 4.0 Most operation are commanded from the cloud while the wagons is part of a freight train 4.0. Split trains: Quick release: Command from Cloud Brake pipe end cocks: Cloud control Pneumatic Display Used as uncoupling instruction Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 15 / 18 Brake Operation in Freight Train 4.0 Most operation are commanded from the cloud while the wagons is part of a freight train 4.0. Train preparation: Brake mode, load selection, brake activation: Cooperation with train, cloud Braked weight, Brake assessment: Cloud commanded Security: Cloud protects against inappropriate operation Alternatively: Authorisation using Wearables or Smart Devices Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 15 / 18 Brake Operation in Freight Train < 4.0 During migration, fall back to wearables and smart devices allows local control of functions. Split trains: Quick release: Control with wearable Wearable/Smart Device Identification of wagon using NFC chip on common installation position Brake pipe end cocks: Via Cloud from uncoupling list Alternatively: Using Wearable/Smart Device (e.g. dedicated glove) Pneumatic Display GP 0/1 Pfaff, Schmidt, Enning (Aachen UAS) 0 P 86 Wagon 4.0: IoT for freight rail April 25, 2017 16 / 18 Brake Operation in Freight Train < 4.0 During migration, fall back to wearables and smart devices allows local control of functions. Train preparation: Brake mode, brake activation: Control via Wearable/Smart Device Load selector: Control via smart load or cloud Braked weight, brake effectivity: Pneumatic displays Security: High security level due to absence of manual controls Feedback of state change into cloud GP 0/1 Pfaff, Schmidt, Enning (Aachen UAS) 0 P 86 Wagon 4.0: IoT for freight rail April 25, 2017 16 / 18 Application example: the powered wagon The inclusion of a powered version of Wagon 4.0 in the modular approach helps to gain new customers. Cost comparison to road traffic setting: 10.000 Euro additional cost economically feasible Requirements: Tractive force: 21 kN Tractive power: 15 kW Energy consumption: 1 kWh System to be disconnected during mainline operation Use of COTS parts, e.g.: Forklift motor Disk brake wheelset Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 17 / 18 Conclusion and perspective Using appropriate automation allows to gain mass customisation for freight rail and competitive advantages over road transport. The Wagon 4.0... ...uses current concepts. ...provides advantages for all stakeholders: Wagon owners, Mainline operators and Shippers. ...opens the freight rail system for future developments, such as 1 Train preparation 39.5 10 Fill Brake Pipe 40 Condition Assessment 1 Tightness 1 1 1 1 1 33.2 Apply brakes Check brake application Apps, X-as-a-service or Automation of knowledge work. Perspective: 33.2 2 2 1 Release brakes Check release 33.2 0 20 40 Time / min Hardware development AI usage for technical inspection of trains Pfaff, Schmidt, Enning (Aachen UAS) Wagon 4.0: IoT for freight rail April 25, 2017 18 / 18
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