The acquisition of information from automated systems and their rapid processing is essential for industry productivity and competitiveness, especially in the age of technologies such as the Internet of Things (IoT) and Industry 4.0. Information obtained from the equipment at the industrial park can be used to assist decision making, improve productivity, reduce waste, and other functionalities. It directly or indirectly aims at reducing costs and increasing the quality of the product. Companies that manufacture electronic meters, such as Eletra Energy Solutions, have a plastic injector park. This study will present a technological platform for the information management of the Eletra's plastic injection park operation. This platform is constituted of hardware, software, and embedded electronics. It is based on computational techniques, such as artificial intelligence and inference, to communicate, obtain data, and process signals from plastic injection machines. From these technologies, the data from the injection machines are transformed into commands and valuable information to automate the operation of Eletra's injection molding park, as well as to generate for the operational chain (operators, supervisors, etc.) information and alerts to be dealt with preventive and corrective way.