Diamonds are famous overall in the world as a wearable option. But the process of making diamonds is quite difficult and expensive. By using predictive maintenance, we can make it slightly easy.
Lab-grown diamond is cheaper than natural diamond so lab-grown diamond is more popular now. There are two types of lab-grown diamonds, the first is CVD, and the second is HPHT. Mainly, our client is working on the CVD method. A diamond seed is placed inside a vacuum chamber as part of the CVD process. The chamber is heated to roughly 1500 °F and then filled with gases that are rich in carbon. Due to the high temperature inside the chamber, the gas, which is rich in carbon, changes into plasma. The diamond seed grows as a result of the carbon fragments that are released by the plasma and fall on it. After several processes, it would complete the diamond the same as the natural one.
To maintain the surrounding temperature, the Manufacturer used a cooling water chiller, an air compressor, and pumps. Monitoring the health of this equipment is necessary. To continuous monitoring and decrease downtime, it is necessary to adopt new technologies. The diamond industry needs a wireless solution to predict the health of equipment. S-Node is an IoT-driven, predictive maintenance tool wireless standalone device that can measure various parameters in the diamond industry. It can detect various parameters such as tri-axial vibration, 6D motion, RPM, proximity, pressure, temperature, humidity, and acoustics.
S-Node collects various parameters to identify potential equipment faults before they cause a failure, allowing for proactive maintenance. This can help to reduce downtime, increase equipment life, and enhance overall efficiency. Anyone can easily use S-Node without any prior expertise in AI/ML and with zero technical knowledge.
