The Fourth Industrial Revolution represents swift changes in technology and industries as a consequence of increasing interconnectivity and smart automation. Critical production data is collected and cloud software is used to turn this data into valuable insights about the machining process.
Fundamental shifts are taking place in how the global production and supply network operates through ongoing automation of traditional manufacturing and industrial practices, using modern smart technology, large-scale machine-to-machine communication (M2M), and the internet of things (IoT). This integration results in increasing automation, improving communication and self-monitoring, and the use of smart machines that can analyze and diagnose issues without the need for human intervention.
The manufacturing industry is one of the sectors which majorly benefited from innovations in technology; the industry is going through a digital transformation. M2M, IoT, big data, analytics, machine learning, and artificial intelligence are leading the production activities and helping to scale up businesses at a fast pace.
IoT - Internet of Things - is so-called physical objects that are installed with software, sensors, intelligent processors, and other technologies that connect and exchange data over the internet or communication networks. Once the objects start exchanging data, software processes it and might perform designated actions such as sending alerts, and automatically adjusting sensors or devices without the intervention of the users.
Due to the fierce competition in the industry, companies can no longer afford the downtime of their machines due to malfunctions. IoT allows manufacturers to observe their machinery from a distance; companies can manage the process nonstop. It can obtain essential maintenance data which allows estimating the current condition of machinery, determining warning signs, transmitting alerts, and activating the corresponding repair processes. IoT transforms maintenance into fast-paced and automated practice.
Getting valid data in time is to maintain operations thoroughly and hold systems online while workers are still performing the task. Remote production control allows centralized supervision over machinery in the production process. Data obtained through distant control gives clearer and faster insight into the production area.
Copier Machinery follows these developments by implementing M2M solutions, and by connecting to MES systems. At this moment we work on local data logging systems, and the development of software that uses this data to reduce downtime of machinery and helps to improve the production process, which will give an improved quantity and quality output. For optimum remote service, we have all our machines connected to the Internet (IoT).
Our automatic Beaver S series, Beaver CNC, Beaver CB, RTL Z, RTL ZX, and Groove Master are equipped with IoT. The application is beneficial for the end-user of our machine; it reduces the cost in terms of maintenance. The embedded IoT sensors in machines can detect operational malfunctions and give an alert. Subsequently, the IoT router in the automatic machines allows Copier Machinery to easily access the machines for remote maintenance.
The machines can be monitored, data logged in a local or a remote server, and production reports can be generated through IoT. The quantity of production will increase by decreasing downtime, but you will also be able to improve the quality of the products because you will gain insight into the process. In addition, production can be planned according to a schedule, and the production can be centralized using SCADA. All these factors are beneficial for the end-user of our machinery equipped with IoT.
If you require more information about our machinery, do not hesitate to contact us!