The progress of science and technology has brought new changes to the human society. With the new generation of information technology as the representative, the industrial revolution has come. Industrial automation companies are using IT and information technology such as the Internet of Things, big data, and cloud computing to create more economic benefits. So what role will these industrial automation plants play in the future manufacturing industry?
Just as the intelligently adjusted highway system for future cars is laid, the connectivity of industrial assets has become the basis for the implementation of the next wave of technologies. Today's digital transformation will lay the foundation for the future development of smart manufacturing.
Today, when we build industrial infrastructure, we still look like physical machines such as motors, turbines, and logistic locomotives. On the surface, it looks like it was a decade ago, but in reality, these assets and equipment have undergone major changes. More and more devices have Internet of Things connectivity, and industrial equipment is gradually entering the digital era.
According to a recent report, most industrial companies have recognized the significant benefits of industrial Internet of Things, but eight adults said they do not have a mature plan to seize this opportunity. It seems that gaining benefits from the Internet of Things is not an easy task. Things.
In fact, with the development of sensors and intelligent control systems in industrial facilities, companies can now easily use this wave of technology to achieve efficient business processes through connectivity, thereby increasing digital maturity. In the next few years, industrial manufacturing will be more advanced than ever before.
Artificial Intelligence Based Automation
The benefits that artificial intelligence brings to industrial equipment operations are gradually being recognized by enterprise personnel. Using machine learning software algorithms in asset performance management, through historical data integration analysis, can help field personnel predict and maintain faulty equipment and provide enterprises with higher Accuracy, more advanced warning services.
Applying complex machine learning algorithms to real-time performance data analysis, the value of artificial intelligence will be further reflected. Create smarter, self-sufficient machines with AI technology while enabling the production line to respond to changes in demand.
At this stage, many companies are still undergoing a process of digital transformation, connecting the machinery and equipment assets of all factories and workshops. Various enterprise resource planning systems and different data may hinder data analysis and market decisions.
However, by communicating more device data through sensors, the asset performance management system based on artificial intelligence can not only organize and standardize data input, but also enhance the ability of enterprises to analyze data, thereby realizing more automated and accurate decision-making.
For some of the manual processes currently operated by the plant, such as the release of work orders and schedule checks will be automated, simplifying maintenance practices and improving machine performance.
Digital Twins Bring Key Advantages
The application of digital twin products is becoming more and more common in all walks of life. The true digital ecosystem will provide enterprises with key advantages and provide sufficient motivation for operating asset performance management.
Predefining how assets work and execute, and then using this information to build replicas of assets. The concept of the word twin is based on the idea that the virtual copy test of each asset informs the operator about the health, life, and performance levels of the device.
Based on the digitization, the company is fully capable of optimizing the machine at any time of the day to adjust the maximum productivity level of the production line. For businesses that need to produce at every second every year, millions of dollars can be saved by digitizing to avoid unplanned downtime.
As long as the company has established a digital copy of the assets that better understands the operations of the entire plant, it can identify any abnormal or underperforming equipment and take appropriate actions as appropriate. Even further, these data can eventually be anonymized and shared across the industry, allowing users to get larger data samples and more accurate references.
For the average asset operating company, its ability to collect and analyze statistics is limited, but as long as it will use a wide range of shared data resources and peer experience, it will provide better performance insights for asset management. Identify device failures and performance issues.
Augmented reality subverts equipment maintenance
For equipment maintenance personnel, not all industrial equipment is accessible. Some machines and equipment may have thousands of parts, and each part is embedded in a strong material layer, and may be operating in the world's harshest environments. For decades, when equipment routine inspections or asset display errors required maintenance, the inspection process required a huge amount of time and manpower. The inspection team needed to conduct actual operation tests on the equipment to determine the real problem.
Manufacturers of medical technology equipment must keep inspections on key medical systems. If the hospital has an infection, the equipment used to detect the infection needs immediate response. If a manufacturer's microbiological device has any performance issues, it can put the entire healthcare ecosystem at risk. Therefore, this special equipment needs regular monitoring and inspection.
New technologies are rapidly changing the way that inspection teams work. With the advancement of augmented reality in mobile devices and the support of digital twins, field workers can now conduct in-depth inspections based on real-time information without taking the device offline and performing physical analysis.
As more and more field service professionals are able to use augmented reality technology, companies will minimize the risks that extreme environments can bring to workers, such as working close to pipelines or oil rigs, and by keeping equipment online. Run to maximize efficiency.
Artificial intelligence, digital twins, and augmented reality have been well used in industry. The key to making the most of these new capabilities is to have an adaptive digital infrastructure, including connected assets that provide information through asset management systems. As more and more devices use data analytics, industrial companies will have the ability to optimize asset performance in real time, enabling intelligent asset management.