In short, it is a concept that aims to introduce digitization into production processes. That's why every time you hear the term "smart factory", you know you're looking at fully digitized traffic, which involves the use of big data, connected devices and automation.
Data is the backbone of any intelligent factory because all knowledge is generated by analyzing large amounts of data. Each machine, device, and process connected to the system supply operational data and sends it to the AI to see how production will work and find better ways to optimize production. The system relies on the most advanced digital technologies such as cloud computing, big data analysis, industrial IoT sensors, etc. When all equipment and resources are connected to an artificial intelligence system, managers and team members can control each machine in real-time.
In addition, they use the same technology to optimize everything from production to supply chain management and employee engagement. When done correctly, the digitization process provides more flexible, adaptable and efficient operation. This helps improve production and efficiency while reducing operating costs and increasing safety.
Industrial IoT for Smart Factories
Industrial IoT is a term used to describe a modern factory, where all equipment, machines, processes and even employees are connected in a system with artificial intelligence, which facilitates the exchange and use of data. IoT technologies as visual and operational sensors are already part of modern production machines. Older machines can also be equipped with these sensors for connection to a centralized system.
When all elements and functions are interconnected, sensors can generate real-time operational data of all devices and data points, improve monitoring and identify new ways to optimize production. IIoT leads to increased efficiency, better control and better visibility across all key metrics.
Biz4Intellia Contributing to Machine Optimization
• Cloud-based Storage for Easy Accessibility
A smart machine monitoring system involves sensor-based data connectivity that helps optimize machine performance. Also, IoT solutions use cloud storage because it acts as an abstraction layer between the data stored on hardware and how it is seen by an IoT device. It plays a significant role in machine optimization, providing a powerful, flexible, and agile way to work with IoT-based data.
• Predictive Maintenance to Avoid Downtime
The Internet of Things uses the sensor-based approach for predicting the condition of a factory. It enables quality checks and maintains industrial productivity. The predictive maintenance involves data usage through IoT technology, assessing the equipment quality and predicting potential outages. Similarly, with Biz4Intellia’s smart machine monitoring, the managers can analyse the equipment operating conditions in real-time and get accurate results about machine malfunctioning via forecast.
• Real-time Analysis for Instantaneous Actions
Many times, the industries face unidentified events that might have been avoided if they were addressed timely. The use of IoT technology in machine monitoring caters to the real-time information extraction from the assets, allowing the authorities to take instant actions. This is one of the most advanced ways to keep a real-time check on the conditions of the industrial machines and enable instantaneous actions.
• Data Visualization
IoT-based machine monitoring solution has built-in techniques that help visualize data in different formats. As soon as the data is transferred through gateway channels, it reflects the information in a user-friendly format, which improves the readability and understanding for better decision-making. Also, with the huge volumes of data emerging daily, the industrialists find it easier to interpret the information from the illustrative charts.
• Condition Monitoring
The data generated by the machines through IoT give a real overview of what maintenance steps are needed at the moment. As a result, you can constantly analyze machine components such as motors, compressors, and so on. By measuring pressure, temperature and vibration, you are more likely to detect previous faults that lead to costly downtime. You can make more accurate forecasts based on real-time machine status data. IoT-based machine condition monitoring system also allows guarantees a high return on investment and overall production revenue.
• Illustrative Reports
Biz4Intellia machine monitoring solution is specifically designed to provide effective results in a user-readable format. It generates illustrative reports and represents the result through visual charts, and graphs for the users to perform better analysis. The reports generated through the solution are illustrative, readable, supportive formats, and shareable, enabling the manufacturers to gain insights for better decisions.
Using Biz4Intellia to Improve Machine Optimization
Biz4Intellia’s IoT solution is a smart system that installs easily in the factory, transforming the entire premises with automated processing. It helps improve machine availability through high-end techniques like advanced analytics, historical data storage, smart inventory management, predictive maintenance, etc. It further involves a better approach for machine optimization through instant alerts and actionable insights. So, using an IoT-powered solution helps optimize the machine’s availability in a factory, enhancing its potential to perform better on a long-term basis.
