With the advent of the Industry 4.0 era, intelligent production has become an inevitable choice for major enterprises. As one of the world's leading beverage manufacturers, Red Bull has been committed to improving production efficiency and quality. In order to better realize the predictive maintenance of equipment, Red Bull's factories in Thailand and other places have chosen a predictive maintenance solution based on ZETA terminal intelligence to monitor and manage their factory equipment and improve operational efficiency.

The ZETA predictive maintenance solution is a wireless IoT solution launched by Zongxing Technology for factory rotating equipment. It uses low-power ZETA end intelligent vibration and temperature sensors to monitor key equipment parameters in real time, and combines AI data analysis to predict potential faults to help enterprises optimize maintenance. Plan, reduce downtime, and significantly reduce operating costs.

In the Red Bull Thailand factory, various production equipment such as belt conveyors, fans, important pumps in the production process, etc. are in continuous operation, which requires extremely high stability and safety of the equipment. However, traditional equipment maintenance methods often rely on regular inspections and manual judgment, making it difficult to detect early equipment failures, leading to unplanned equipment shutdowns, affecting production efficiency and increasing operating costs.

Red Bull built a ZETA network in the factory and installed ZETA-end intelligent vibration and temperature sensors on its rotating equipment to collect vibration and temperature data of the equipment with high precision and high frequency response, and accessed the factory through the Ethernet interface of the gateway. There is an existing network within the system, which transmits data to the industrial predictive SaaS platform for analysis and processing. It extracts key indicators and establishes prediction models based on enterprise needs to predict the operating status of the equipment and provide early warning of faults.

The application case of Red Bull Thailand factory shows that after the introduction of ZETA predictive maintenance solution, the failure rate of factory equipment dropped significantly and the number of repairs was reduced by nearly half. According to statistics, in the past year alone, Red Bull not only greatly reduced the downtime of the production line through predictive maintenance, but also saved millions in operating costs.