The heating, ventilation and air conditioning (HVAC) sector is constantly evolving and new technologies are being introduced to enhance effectiveness, decrease environmental impact, and provide superior customer service. The RealityCheck™ HVAC solution is tailored to address these requirements in response to new and more stringent environmental regulations, as well as a growing call for automation.
The solution is equipped with a set of AI models that can detect various conditions on your HVAC unit using vibration, temperature, and electrical signals to predict a wide range of anomalies, faults, and operating conditions. By combining machine learning and edge processing, Renesas MCUs allow your HVAC system to operate more efficiently while reducing environmental impact and improving overall user satisfaction.
RealityCheck HVAC is a comprehensive framework that includes a hardware and firmware reference design, a set of pre-trained ML models ready to leverage for your product design, and a clearly outlined process for model training, customization, and field testing to meet your specific product requirements.
RealityCheck HVAC brings machine learning algorithms tailored to detect and predict specific HVAC failure modes to small, low-power edge processors, enabling your HVAC product to monitor itself in real-time. It will enable you to:
Benefits:
该演示展示了瑞萨RealityCheck HVAC人工智能软件如何使您的系统更智能,它能够在系统需要维护前就诊断出并解决异常问题。请观看视频了解详情,或者访问renesas.com/realityai获取更多信息和演示。
博客 | 2023年12月12日 |
Using machine learning and edge processing, it is now possible to build HVAC units with the native ability to detect a wide range of anomalies, faults and operating conditions.