The fourth industrial era, the digitisation of production and the emergence of digital twin involve the hyper-connection of all industrial equipment and especially Automated Production Systems (APSs). Nevertheless, the acquisition of data within these machines remains complicated. APS is an expensive invest, composed with many heterogeneous equipments, they are made for having a long lifespan. Hence, industries are composed with old equipment and it is not possible to wait new industry 4.0-compatible APSs to follow the digital evolution. A solution is to retrieve data from the APSs through its Programmable Logic Controller (PLC), with industrial network, like the Modbus. The PLC knows the APS state with sensors and pilots the APS with actuators, all this information is stocked into variables in memory of PLC, referenced with addresses. Due to several factors, such as heterogeneous data, lack of PLC program documentation or no automation specialist, the data collection is a complicated and time-consuming task. The difficulties are to link desired information and the memory address where it is stored. The aim of this contribution is to propose a method for identifying address, through photos of APS, an historical of memories values and an a posteriori declaration of viewed events with photos. This method must be suitable for non-specialists.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.