Industry 4.0 describes the growing trend towards automation and data exchange in technology and processes within the manufacturing industry, including: The internet of things (IoT) & The industrial internet of things (IIoT)
The Internet of Things(IOT) has been made possible due to the development and coming together of a range of technologies, real-time analytics, sensors, embedded systems, wireless systems, automation, control systems and machine learning.
We can offer best possible solutions to optimize operational efficiency and rationalization/automation/maintenance.
Innovation is also coming from software found in mechatronic products that connect directly to the internet. This is transforming products into IoT-driven intelligent devices that are capable of communicating with the manufacturer once they’ve left the production line.
Factories and plants in the chemical process industries, pulp and paper, water and waste-water treatment, and other sectors are, first and foremost – known by the massive networks of process pipelines, controlled by thousands of hand-operated valves. Until recently, the systems have been operating successfully and effectively for many years with different types of hand valves.
The remote monitoring of these manual valves is becoming even more critical in process industries as the Industry 4.0 transformation sweeps through the factories worldwide. To maintain future competitiveness – industrial enterprises need to increase production efficiency, optimize processing operations, prevent unnecessary outages, and improve safety.
With the integration of SCADA with field instruments, and also smartphones, tablets, and other mobile solutions, industrial automation and process control is growing rapidly for the greater good.
Industry 4.0 can also provide predictive maintenance, due to the use of technology and the IoT sensors. Predictive maintenance – which can identify maintenance issues in live – allows machine owners to perform cost-effective maintenance and determine it ahead of time before the machinery fails or gets damaged. For example, a company in Los Angeles could understand if a piece of equipment in Singapore is running at an abnormal speed or temperature. They could then decide whether or not it needs to be repaired.