用大数据进行信息搜集和分析，并通过U+云脑深度学习模型，自动调节热水器

Use big data for information collection and analysis, and automatically adjust the heating time and temperature of the water heater through the U+ cloud brain deep learning model. Finally, through long-term machine learning, we proactively provide users with personalized customized solutions, according to the user's life rules, saving resources and allowing users to obtain a comfortable smart home experience. Haier's innovative MFOP quality model greatly improves product quality and reliability through the integration of the Internet of Things and the home appliance industry.

Information collection and analysis is carried out with big data, and the heating time, temperature and other states of the water heater are automatically adjusted through the deep learning model of the U-brain. Finally, through long-term machine learning, take the initiative to provide users with customized solutions, according to the laws of user life, save resources and consumption at the same time so that users can get a comfortable smart home experience. Haier's innovative MFOP quality model has greatly improved product quality and reliability through the integration of the Internet of Things and the home appliance industry.

Big data is used to collect and analyze information, and U + cloud brain deep learning model is used to automatically adjust the heating time and temperature of the water heater. Finally, through a long time of machine learning, we can actively provide personalized customized solutions for users. According to the user's life law, we can save resource consumption and make users get comfortable smart home experience. Haier's innovative MFOP quality model has greatly improved product quality and reliability through the integration of Internet of things and home appliance industry.<br>