Fachbereich Ingenieurwissenschaften und Kommunikation
Refine
H-BRS Bibliography
- yes (21)
Departments, institutes and facilities
- Fachbereich Ingenieurwissenschaften und Kommunikation (21)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (17)
- Internationales Zentrum für Nachhaltige Entwicklung (IZNE) (4)
- Fachbereich Informatik (3)
- Institute of Visual Computing (IVC) (3)
- Institut für Sicherheitsforschung (ISF) (1)
Document Type
- Conference Object (21) (remove)
Year of publication
- 2015 (21) (remove)
Keywords
- FPGA (3)
- Education (2)
- Competition (1)
- Engineering (1)
- Introductury project (1)
- Low-power design (1)
- Remote lab (1)
- Rube Goldberg machine (1)
- SCRUM (1)
- Safety of machinery (1)
Manufacturers of machinery are increasingly using application programming of safety controls in order to implement safety functions. The EN ISO 13849-1 and EN 62061 standards define requirements concerning the development of software employed for safety functions. The IFA began addressing the subject of safety-related application software many years ago. Between 2011 and 2013, Project FF-FP0319 concerning standardscompliant development and documentation of safetyrelated user software in machine construction was successfully completed at the Bonn-Rhein-Sieg University of Applied Sciences in conjunction with numerous partner bodies from the machine construction sector and with funding from the DGUV. For this purpose, a procedure – the IFA matrix method – was developed, and evaluated and documented with reference to examples from industry, for implementation of the requirements concerning the development of software for machine safety functions. This paper provides insights into both the IFA matrix method and the new IFA report on the subject, and with information on what further tools are planned.
The proper use of protective hoods on panel saws should reliably prevent severe injuries from (hand) contact with the blade or material kickbacks. It also should minimize long-term lung damages from fine-particle pollution. To achieve both purposes the hood must be adjusted properly by the operator for each workpiece to fit its height. After a work process is finished, the hood must be lowered down completely to the bench. Unfortunately, in practice the protective hood is fixed at a high position for most of the work time and herein loses its safety features. A system for an automatic height adjustment of the hood would increase comfort and safety. If the system can distinguish between workpieces and skin reliably, it furthermore will reduce occupational hazards for panel saw users. A functional demonstrator of such a system has been designed and implemented to show the feasibility of this approach. A specific optical sensor system is used to observe a point on the extended cut axis in front of the blade. The sensor determines the surface material reliably and measures the distance to the workpiece surface simultaneously. If the distance changes because of a workpiece fed to the machine, the control unit will set the motor-adjusted hood to the correct height. If the sensor detects skin, the hood will not be moved. In addition a camera observes the area under the hood. If there are no workpieces or offcuts left under the hood, it will be lowered back to the default position.
This paper proposes a new artificial neural network-based maximum power point tracker for photovoltaic application. This tracker significantly improves efficiency of the photovoltaic system with series-connection of photovoltaic modules in non-uniform irradiance on photovoltaic array surfaces. The artificial neural network uses irradiance and temperature sensors to generate the maximum power point reference voltage and employ a classical perturb and observe searching algorithm. The structure of the artificial neural network was obtained by numerical modelling using Matlab/Simulink. The artificial neural network was trained using Bayesian regularisation back-propagation algorithms and demonstrated a good prediction of the maximum power point. Relative number of Vmpp prediction errors in range of ±0.2V is 0.05% based on validation data.
The paper presents a new control strategy of management of transport companies operating in completive transport environment. It is aimed to optimise the headway of transport companies to provide the balance between costs and benefits of operation under competition. The model of transport system build using AnyLogic comprises agent-based and discrete-event techniques. The model combined two transport companies was investigated under condition of the competition between them. It was demonstrated that the control strategy can ensure the balance of interests of transport companies trying to find compromise between cost of operation and quality of service.
Solar energy is one option to serve the rising global energy demand with low environmental impact.1 Building an energy system with a considerable share of solar power requires long-term investment and a careful investigation of potential sites. Therefore, understanding the impacts from varying regionally and locally determined meteorological conditions on solar energy production will influence energy yield projections. Clouds are moving on a short term timescale and have a high influence on the available solar radiation, as they absorb, reflect and scatter parts of the incoming light.2 However, the impact of cloudiness on photovoltaic power yields (PV) and cloud induced deviations from average yields might vary depending on the technology, location and time scale under consideration.
Solar energy is one option to serve the rising global energy demand with low environmental Impact [1]. Building an energy system with a considerable share of solar power requires long-term investment and a careful investigation of potential sites. Therefore, understanding the impacts from varying regionally and locally determined meteorological conditions on solar energy production will influence energy yield projections. Clouds are moving on a short term timescale and have a high influence on the available solar radiation, as they absorb, reflect and scatter parts of the incoming light [2]. However, modeling photovoltaic (PV) power yields with a spectral resolution and local cloud information gives new insights on the atmospheric impact on solar energy.