Four stages of the development of smart home "control mode"

From the perspective of control methods, the development of smart homes can be divided into four phases: mobile phone control, multiple control modes, inductive control, and system self-learning.

Mobile phone control

At the beginning of the development of smart homes, most of them use mobile phones for control, mainly using smart phone apps to achieve manual control of various smart devices at home. This is a relatively low-level control method. After your home device has added mobile phone control functions, it can help you realize that people can control home devices even when they are not at home. However, the shortcomings are obvious. Once the mobile phone cannot be found, the curtains, lights, and televisions in your home will not be able to open and close. At this time, the mobile phone will become a burden on home intelligence. Smart home products should be able to solve problems for users. If the core interests of the product are not improved, just adding mobile phone control functions, it will lose the sense of intelligence.

Combination of multiple control methods

There are many smart home control methods. After simple mobile phone control, touch, voice, and gesture control methods are integrated to control home devices. In other words, an intelligent product may be controlled by both mobile phones and mobile phones. Voice, gestures, etc. are controlled. Common touch controls include smart washing machines, smart air purifiers, smart switches, etc. Voice control is more reflected in TVs, smart speakers, and other products. Gesture control is widely used in smart TV game control, smart air conditioning, and smart audio. . This phase is called the multiple control phase.

Inductive control

Whether it is the mobile phone control just mentioned or a combination of multiple control methods, its features are people active control equipment. Smart home control development to a certain stage, it is certain that the user does not need to manually control, smart home system can automatically sense the user's state, and then adjust the device, so that no effect. For example, if a person lights up and goes off, the indoor temperature is automatically adjusted according to the condition of different people. The washing machine can also automatically identify the material of the clothes and select the most suitable washing mode.

At the present stage, it is mainly suitable for sensors to automatically perceive identification. In the future, your watch, wristband, or even implanted chip can be used as a source of perception.

System self-learning

The self-learning of the system is the advanced stage of intelligent control. After the smart home realizes the initiative automation, it will really give people the feeling of a smart life. The transition from passive to active requires the intervention of a large number of sensors. It is these temperature, humidity, light sensor, distance, and heart rate sensors that collect, sort, analyze, and classify different people’s lives. Habits, and let the system form a memory, so that the smart home system through the continuous learning of user habits to achieve self-evolution.