Abstract
This paper focuses on the interdisciplinary research on the design of a smart gateway for managing the dynamic error code testing collected and generated by the Electronic Control Unit (ECU) from the automotive industry. The techniques used to exchange information between the ECU code errors and knowledge bases, based on data fusion methods, allowed us to consolidate and ensure data reliability, and then to optimize processed data in our distributed electronic systems, as the basic state for Industry 4.0 standards. At the same time, they offered optimized data packets when the gateway was tested as a service integrator for ECU maintenance. The embedded programming solutions offered us safe, reliable, and flexible data packet management results on both communication systems (Transmission Control Protocol/Internet Provider (TCP/IP) and Controller Area Network (CAN) Bus) on the Electronic Control Unit (ECU) tested for diesel, high-pressure common rail engines. The main goal of this paper is to provide a solution for a smart, hardware–software, Industry-4.0-ready gateway applicable in the automotive industry.
Highlights
One of the biggest data sources in our life is the automotive industry
This paper focuses on the interdisciplinary research on the design of a smart gateway for managing the dynamic error code testing collected and generated by the Electronic Control Unit (ECU) from the automotive industry
The main goal of this paper is to provide a solution for a smart, hardware–software, Industry-4.0-ready gateway applicable in the automotive industry
Summary
One of the biggest data sources in our life is the automotive industry. Many other industries reacted [1,2]. It does not matter the order in which we look at the surrounding things—from the Internet, or designing vehicles—the interconnection and mutual influence are clear and visible at all times [2]. Big data began to be present with the first entertainment applications in cars. On-board diagnostics turned to the main online databases, offering realtime assistance, creating knowledge transfer opportunities. We will briefly describe the main concepts we will refer to in the paper, clarifying how we will propose the integration of our work in “digital transformation” stated in [2]
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