Looking to the future

The role of artificial intelligence (AI) and machine learning (ML)

Artificial Intelligence (AI) and Machine Learning (ML) will play a pivotal role in the future of CBM.

These technologies improve data analysis, which in turn enhances the capabilities of CBM systems

through their application. This makes systems more intuitive and enables predictive maintenance to be

more accurate and efficient.

Machine learning algorithms have the ability to learn from data and improve the accuracy of predicting

equipment failure. This can result in maintenance schedules that are optimised, which in turn can lead

to less downtime.

By leveraging the power of AI and ML, CBM can become a more powerful tool for ensuring the reliability

and efficiency of complex systems.

The next generation connectivity: 5G and wi-fi 6

In addition, the rollout of 5G and Wi-Fi 6 is a major step forward for CBM. This brings reduced latency,

increased bandwidth and the capability to connect more devices than ever before. Enhancing the performance

of real-time monitoring systems with wireless technologies is vital. It enables faster and more reliable data

transmission, which is essential for predictive maintenance.

As a result of this, the insights that are gained are more precise and timely. Therefore, it is possible to do

proactive maintenance interventions and avoid costly downtime. Additionally, the wider reach and network

capacity of 5G can facilitate remote monitoring of assets in geographically dispersed locations. This contributes

to an even greater improvement in the efficiency and efficacy of CBM systems.

We still have a lot of PLC/DCS/TSI/ESD in stock, contact us quickly for prices.