ion layer Characteristic System 1 System 2 System 3

Towards Automation and Improved Fuel Economy with System Architecture Design of a Non-Road Working Machine

. The working process of construction and conveying machines is characterized by the interaction with granular and bulk materials. In order to allow pro-spective analysis of machine behaviour under real oper-ating conditions, coupled simulations are increasingly used. While modelling the equipment happens within the scope of component-oriented system modelling, repro-ducing particle-mechanical behaviour is done with discrete element method. The work presented here intro-duces a new integrated approach which allows a closed modelling and simulation of system models and discrete element method. The creation and calculation of coupled simulations is thus facilitated by a multiple.

/pdf/a-new-approach-for-integrating-discrete-element-method-into-ijqn9v2nb2.pdf

A New Approach for Integrating Discrete Element Method into Component-oriented System Simulations

One of Bosch Rexroth’s newest developments is the ABPAC power unit, which is both modular and configurable. The modular design of the ABPAC is enhanced by a selfcontained Condition Monitoring System (CMS), which can also be used to retrofit existing designs. This dissertation shows how Industry 4.0-Technology provides special advantages for the diverse user profiles. Today, Hydraulic Power Units have either scheduled intervals for preventive maintenance or are repaired in case of component failures. Preventive maintenance concepts, until now, did not fully utilize the entire life expectancy of the components, causing higher maintenance costs and prolonged downtimes. Risk of unscheduled downtime forces the customer to stock an array of spare parts leading to higher inventory costs or in the event a spare is not readily available, the customer may encounter long delivery times and extended downtime. Bearing this in mind, we’ve conceived the idea of a self-contained intelligent Condition Monitoring System including a predictive maintenance concept, which is explained in the following.

Condition Monitoring for hydraulic Power Units – user-oriented entry in Industry 4.0

Using the example of a wheel loader, this paper presents a cloud-based system architecture enabling intelligent machine behavior. In order to achieve the final goal of a fully automated bucket filling routine, while controlling the loaders engine, travel drive and attachment, different levels of automation are processed gradually. As a first step towards automation, driver assistance can be considered. The paper explains the design choices for a cyber-physicalsystem architecture in the context of construction machinery. This comprises the communication framework and the cloud-application for self-adapting systems (i.e. the MAPE-K loop). As a validation of the architecture and as a demonstrator, a driver assistance functionality has been implemented. Calculations from the cloud-application give the operator feedback about efficiency, loads and task status. A developed visualization app on a tablet serves as user-interface. Concurrent simulation allow an optimization of control algorithms for the machine control and the trajectory planning. Besides changing the parametrization of the underlying models, a solution to change ECU-code at run-time without interrupting the operation is presented. The developed system architecture is the basis for further implementations of adaptive algorithms that improve future machine operation.

/pdf/cloud-based-system-architecture-for-driver-assistance-in-3aq0lti81f.pdf

Cloud-Based System Architecture for Driver Assistance in Mobile Machinery

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Cloud-Based System Architecture for Driver Assistance in Mobile Machinery