Development of intelligent devices for communication and data pre-processing in the process of electronic meter testing
International Journal of Development Research
Development of intelligent devices for communication and data pre-processing in the process of electronic meter testing
Received 20th August, 2022 Received in revised form 24th September, 2022 Accepted 27th October, 2022 Published online 30th November, 2022
Copyright © 2022, Juarez da Silva Ramos Junior et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The main problem of the intelligent devices for communication in the process of tests in production lines that evidences and justifies the development of the research, meets the lack of communication between the various electronic devices, the synchronization of information through a system that allows support for decision making and the need to have this set of data related to production, process and quality as a requirement for framing the pillars of maturity of Industry 4.0. Currently, the companies of this sector do not have an information or intelligent system that allows this data processing, neither the expert systems embedded in hardware to collect data from the manufacturing process of the electronic meter DOW1310L. Considering that the integration of cyber-physical Systems, Intelligent Systems and AI are requirements for the company to increase the maturity of its process according to Ordinance No. 2.091-SEI, of September 17, 2018, it is necessary to develop this project aiming at cost reduction and product quality. The objective of the article is to develop an Intelligent System of Lean Manufacturing capable of promoting the integration of communication to support decision making when using Production Control processes, to ensure product quality, reducing production cost. The materials resulted in the following forms: Cutting Sequence, Z-Safety, Material Thickness, Relief Dimension, Simulation Block Dimensions and Simulation Relief Resolution. Of the methods: Importance of CNC machining, Indication of the axes of the CNC. Keys of operation of the CNC, CNC Interface. Part Machining, DERD, Parameterization, - 3D Modeling of the Pima Verification System, 3D Modeling of the Pima Verification System (Rear View). The results found were: Firmware embedded in intelligent devices for data collection and transmission; Algorithm applied to demand forecast and production indicator in which generate knowledge and are available in Dashboard; Intelligent system with API integration and integration of stacks for optimization of computational processes using modern technologies and frameworks for web development with production engines.
