The fact that the Command HexCodes have been (presumably) designed by Zhengbang for this Oven Series presents both an advantage and a disadvantage: This would make these exact same codes useful for other models of the same series, but also it would imply that a similar process to that described in Section 3.1 must be followed to obtain the corresponding command codes if the user is trying to implement this strategy over an oven of a different brand or series. We therefore consider this “Industry 4.0-compatible” modification (out of a previously outdated device) successful. With these findings, functional remote and autonomous operation of the ZB5040HL was achieved, and successful reflow of solder paste was observed. All of this to address the inclusion of specific Industry 4.0 needs such as autonomous functioning, data collection and cybersecurity in outdated manufacturing devices and help enrich the processes of SME PCB manufacturers. Additionally, it documents the design and implementation of the network adaptations necessary for it to be considered a cybersecure IIoT Module and connect safely to the Production Cell’s Subnet. This work presents the design and results of a controlling interface utilizing a Raspberry Pi 4 as a coupling interface between an MQTT Broker (which monitors the overall system) and the oven itself (which is, intentionally, a sub-prime model which lacks native IoT support), resulting in successful, remote, network-based controlling and monitoring of the oven. Manufacturing research must, thus, aim towards improving reflow ovens and, more specifically, aim to improve their autonomous capabilities and affordability. More specifically, this work revolves around the automation of printed circuit board (PCB) manufacturing, which is one of the most popular and profitable areas involved in this movement and within it, the large majority of manufacturing defects can be traced to the soldering or “reflow” stage. Therefore, the availability of affordable Industry 4.0 upgrades for now-outdated devices is necessary for manufacturers in the SME range (Small-Medium Enterprises) to stay relevant and profitable. However, not all factories in the medium to small range (or independent manufacturers) can afford to upgrade their equipment. Equipment upgrade is required to match the new standards of digitally assisted automation. With the rise of Industry 4.0, its pillars (which include Internet of Things, “Big Data”, data analytics, augmented reality, cybersecurity, etc.) have become unavoidable tendencies for the automated manufacturing industry.
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