OFweek Smart Home Network News: At the 5th China Electronics and Information Expo (CITE 2017), Haier took the lead in publishing a smart home data report, using big data on five scenarios: smart living room, smart kitchen, smart bathroom, smart bedroom, and smart community. Revealed the user's smart living habits and preferences: Home water heater usage peaks in the morning and evening two hours, more people like to book a water temperature of 75 degrees Celsius; washing machine drying function is not used frequently, many users to dry for drying... Today , Through massive amounts of big data to create a model of thinking, knowledge of cloud graphics, smart product manufacturers can successfully portrayed for different users, to achieve beyond the one-way control of interaction and perception, so that people's ideas and personal preferences are implemented. This is Haier U + Wisdom Life 3.0 - Haier U + with a full set of smart home appliances solutions to open the smart revolution. In the future, with the in-depth development of the functions and achievements of big data, smart ecological scenarios will continue to be optimized, which will ultimately make smart homes more intelligent.
Haier U+ big data accurate user portrait makes life more intelligent
The data of electric water heaters in the report mainly includes statistical analysis of data such as water, heating, temperature, and appointments. The period with more daily water consumption is 7:00 am - 9:00 pm and 19:00 - 22:00 pm. The two periods together account for about 55% of the total water consumption. Each use of water does not exceed 97.8% in 5 minutes and 71.1% in 1 minute. It shows that the majority of users are working in the home, and most choose to clean themselves in the morning and at night. In the heating method, the daily heating time does not exceed 38% of the 60 minutes, 60-120 minutes accounts for 28%, and the remaining 34% of the daily heating time is greater than 120 minutes. Start the heating time and compare the starting water time, start the heating and start the basic synchronization with water. For the future under the premise of ensuring the comfort of the bath to provide a more water-saving energy-saving program provides the basis.
According to the report of the smart washing machine, there are more equipments for downing, wool, and barrel self-cleaning in the laundry process of the Chinese people, but the average number of use is small. Children use less equipment, but the number of uses is relatively large, and the main washing time is mainly integer time. For example 10 minutes, 3 minutes, 5 minutes. Personalized set time, often in their own custom time is mostly. The number of samples with a washing machine usage time of less than 5 minutes was high, and the reason for this was that the total consumption time was less than 5 minutes because of unskilled operation. As the washing cycle increased, the total time consumed was less than 5 minutes. Explain that the user's previous use of the washing machine is a self-learning process and also needs to enhance the user's learning process. By recording the user's washing habits, a more reasonable washing program can be developed in the future to make the user's laundry cleaner, more energy-efficient, and more convenient.
From insight to guide big data to help U+ to become a smart family leader
Electric water heaters and smart washing machines big data, although only the tip of the iceberg, has made people an eye-opener. In fact, the power of big data is far more than that. In the smart living room, the owner can voice-control air-conditioning and air cubes, can display the operating status of home appliances, and sit in the smart living room, and life is under control. In the smart kitchen, the housewives can voice control the kitchen electric equipment, and get artificial intelligence experience such as food management, recipe recommendation, voice search, voice mail reminder, online supermarket, IOT, and entertainment. Listening to music, watching the doorbell video signal displayed on the refrigerator screen open the door for visitors, is not it very comfortable? In a smart bathroom with a smart terminal, the terminal controls the water heater, intelligently starts heating the bath water according to the weather, and also provides health management, intelligent laundry services, and personalization of the bath. After a tiring day, we return to the smart bedroom to rest. The air conditioning can be automatically controlled according to the current temperature. The bedside speaker with voice interaction function can also help the owner to chat and relieve boredom, and accompany the owner to count the sheep to fall asleep. Outside the door, a larger solution for smart communities also quietly plays the role of security and access to third-party resource ties, making homes more comfortable and safer.
Under the efforts of Haier U+, today from smart home appliances to the entire House of Wisdom, we have bid farewell to traditional information islands and entered a fully interactive ecological era. At this year's AWE, Haier U+ showed a panoramic view of the ecological era of the smart family scene covering the five major smart eco-systems in the kitchen, bathroom, living, entertainment, security and the industry's first full set of smart home life scene model, involving 26 categories , The total number of smart scenes is 161!
Apparently, Haier U+ has deeper insights into the value of big data. Through the data collection of the five major scene ecosystems, the visualized big data screen realizes 2.15 million real-time online devices, 41 million cumulative online users, and 240 billion online interactions. The number of real-time data shows that the vast ocean of big data has created endless possibilities for providing users and equipment portraits and providing more accurate user services. In the future, with the continuous enhancement of smart ecological scenarios, smart households will be smarter and life will become better.
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