A Component-Based Human Machine Interface System for Automotive Manufacturing Machines

Volume 2 ◽  
2004 ◽  
Author(s):  
Edward W. Mellor ◽  
R. Harrison ◽  
Andy A. West

This paper presents a novel approach for the configuration and runtime usage of user interfaces or Human Machine Interface (HMI) systems based on research being conducted at the Distributed Systems Group, Loughborough University. This research is investigating the replacement of conventional PLC/PC systems with a Component Based control approach suitable for the automotive engine manufacturing industry. HMI (operator interface) systems for production machines must effectively fully support an increasingly complex machine lifecycle involving engineering input from many globally distributed engineering partners. Current HMI Systems are standalone offering poor connectivity and requiring highly specialist skilled personnel to develop and maintain the systems. The goal of Component Based (C-B) systems is to compose machines from modular units with embedded intelligence. The “intelligence” has different functional domains, e.g. sequencing and interlocking logic, 3D virtual modeling, visualization, diagnostics, service and operating interfaces, etc. The underlying framework of the C-B paradigm is a common model system repository where all components are stored. This facilitates visibility of the system common model to all the globally distributed engineering partners involved in a given project. Within the C-B framework, HMI systems are composed from instances of reusable software templates that are targeted at specific user types. User targeted operator interfaces offer a common look and feel that improves usability. The machine’s configuration is achieved by populating a series of HMI templates to produce a complete machine HMI system. A thin-client architecture is used based on server/ client internet technologies that allow the machine HMI to be executed on any internet enabled computer using a standard web browser. It is possible to drive both the real machine and a simulated 3D virtual machine model via the HMI, enabling engineers to be trained on the operation of the HMI prior to the real machine being completed.

2011 ◽  
Vol 2-3 ◽  
pp. 234-238
Author(s):  
Hai Tao Qi ◽  
Guang Lei Feng ◽  
Hong Wang

It introduces a design of the control system for rehabilitation horse based on MCU STC89C52. The system’s control core is an 8-bit MCU STC89C52. First, the user input commands through the keyboard, then send commands to the DA conversion chip PCF8591 which can achieve the digital signal to analog signal output after dealing with MCU. Finally, PCF8591 send analog signal to the speed controller of DC motor in order to control the DC motor’s speed. Meanwhile, it builds a human-machine interface (HMI) to display the real-time speed of the horse through LCD.


1990 ◽  
Author(s):  
B. Bly ◽  
P. J. Price ◽  
S. Park ◽  
S. Tepper ◽  
E. Jackson ◽  
...  

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 687
Author(s):  
Jinzhen Dou ◽  
Shanguang Chen ◽  
Zhi Tang ◽  
Chang Xu ◽  
Chengqi Xue

With the development and promotion of driverless technology, researchers are focusing on designing varied types of external interfaces to induce trust in road users towards this new technology. In this paper, we investigated the effectiveness of a multimodal external human–machine interface (eHMI) for driverless vehicles in virtual environment, focusing on a two-way road scenario. Three phases of identifying, decelerating, and parking were taken into account in the driverless vehicles to pedestrian interaction process. Twelve eHMIs are proposed, which consist of three visual features (smile, arrow and none), three audible features (human voice, warning sound and none) and two physical features (yielding and not yielding). We conducted a study to gain a more efficient and safer eHMI for driverless vehicles when they interact with pedestrians. Based on study outcomes, in the case of yielding, the interaction efficiency and pedestrian safety in multimodal eHMI design was satisfactory compared to the single-modal system. The visual modality in the eHMI of driverless vehicles has the greatest impact on pedestrian safety. In addition, the “arrow” was more intuitive to identify than the “smile” in terms of visual modality.


Author(s):  
Saverio Trotta ◽  
Dave Weber ◽  
Reinhard W. Jungmaier ◽  
Ashutosh Baheti ◽  
Jaime Lien ◽  
...  

Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 488-493
Author(s):  
Florian Beuss ◽  
Frederik Schmatz ◽  
Marten Stepputat ◽  
Fabian Nokodian ◽  
Wilko Fluegge ◽  
...  

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