The goal of Industry 4.0 is to link industrial production and networks so that intelligent machines, systems and networks can independently exchange and respond to information in order to manage industrial production processes and create an industrial Internet of Things (IIoT) environment.
Implementing and creating an interconnected control system will be the focus of improving productivity. According to the results of a survey of 200 German industrial enterprises conducted by PwC, the productivity of the enterprises surveyed is expected to increase by 18% in the next five years. Although only 20% of the enterprises have invested in digital control during the survey period, 85% of the enterprises said they would introduce industrial 4.0 solutions in five years.
At present, there are a large number of data generated by machines and transmitted to higher-level devices for interpretation. Since data is used by increasing number of processes and controllers, it is important to use common protocols in manufacturing processes, which will expand equipment at the manufacturing end and in future automation systems, and allow information flow to flow freely.
In highly regulated industries, a large amount of data should be recorded in the manufacturing process. For example, the pharmaceutical industry must record the water quality in detail, which meets the industrial standards of the industry. However, the increase of data collection will limit the speed of transmission and reduce productivity, which may be solved by using advanced field devices and controllers to localize intelligent decision-making, reduce data flow and speed up decision-making.
Data collection used to be achieved through the widespread use of sensors, but now it can be achieved through automated and continuous data analysis without batch sampling. Advances in design technology and lower costs have improved data acquisition, and the latest sensing technologies have been introduced more widely.
Since more process data can be obtained, it must be used effectively, otherwise the investment in sensors will be wasted. In process control, data from flow measurement, temperature, pressure, PH value and other sensors can now be analyzed locally in the process and presented graphically. Any anomaly can be marked at the most appropriate location.
Current I/O modules allow sensors and actuators to combine under the same network using standardized signals, allowing control valves to use immediate feedback signals from local sensors.
Buerkert, a system developer, has developed an EDIP platform, which can penetrate the intelligent network into the sensor and actuator levels. Communication protocols can also incorporate and standardize hardware and software, and communicate with Buerkert products. Communication between EDIP devices is an interface based on CAN Open industry standard. Graphical interface also makes the analysis system easy to understand and provides more process control functions.