A PLC-Based Measuring System for Machine Crosslinking and Monitoring

Abstract

Rising energy costs, a green image and fulfilling of political demands are some reasons, why companies try to reduce their energy consumption. Biggest challenge is to identify potentials, derive measures and realize them. Although, measuring instruments are available in a great variety there exists no cheap and flexible system, which uses the measured line for supply and data transmission. This innovation, introduced in this paper, delivers a new possibility for post-crosslinking and smart energy monitoring. Based on current powerlinecommunication (PLC) technologies and modulation methods, a hardware was developed. A program handles the PLC and manages the measuring. The system has sensors for alternating voltage and current and calculates frequency, power factor, active, reactive and apparent power. For visualization and further analysis, a software was established. The complete system was evaluated in a production facility. The accuracy shows a difference of 1.5 % to a reference.

Empirical Analysis of the Communication in Industrial Environment Based on G3-Power Line Communication and Influences from Electrical Grid

“…This communication protocol can help, at a low cost of implementation, the data collection of field devices, subsidizing the implementation of concepts of technologies such as Industrial Internet of Things (IIoT) [10] and Industry 4.0 [11]. These technologies require in many situations a great capillarity of sensors and actuators, which has characteristics of low volume of data packets [12,13].…”

IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution

“…Additionally, operators must be aware of current sensor data to decide on tasks to be executed next. Such a scenario might be better manageable when closely linking digital production and machine data, such as regularly available in typical Industry 4.0 [10,11] scenarios, with human operators as enabled by the integration of IoT and BPM. Here, human activities can be triggered by a BPM engine through intermediate reactions to appropriate IoT real-time data in the underlying process model.…”