The past half a century is the fastest 50 years of science and technology development in human history. Unconsciously, the Internet of Things is emerging, and smart homes have gradually begun to blend into the lives of ordinary consumers. Even smoke alarms are At the beginning, you can see and hear, then what is the smart home, and where is the value of smart home? Or different opinions, or unclear, we do not need to be divided into black or white smart home, this article will learn from the classic theory of overseas AI and IA, the smart home is interpreted as ubiquitous algorithm to analyze the simple logic . In theory, the algorithm refers to a set of organized steps for calculating, solving problems, and making decisions. Because it is a set of steps, the algorithm is not a single calculation but a method used in calculations. .
Does it sound mouthful? Give two examples to explain this "set of steps." The “Set of Steps†in the Smart Home Algorithm: First, simply give an example of a foreigner making vegetable soup to explain the algorithm: 1. Heat oil in the pan. 2. Cut the onion into pieces. 3. Fry the onions to golden brown. 4. Cut the potatoes and add them to the pot. 5. Cut the cabbage and add it to the pot. You can try to repeat this algorithm continuously. Each time you use a slightly different vegetable, you will get a slightly different soup. This is the step of cooking. Actually, the algorithm is the step of cooking, just using the machine to simulate.
To sum up in a word, smart home is to create a machine that contains this algorithm and can do it automatically. So in foreign countries, the concept of smart home was just called home automation Home Automation, and it is now called smart home or smart home Smart. Home, is it given a new algorithm? Another example is to explain the algorithm: foreigners like to drink beverages, such as the common self-service beverage machine, which usually has a coin insertion hole, a cup position, and several rows of buttons. The first line of the button is probably to choose coffee, tea or cocoa, the second line is to choose no sugar, a spoonful of sugar, two spoonfuls of sugar, and the third line is to choose to add milk, soy milk or not.
Today, a man walks toward a machine, puts a coin, and presses “teaâ€, “a spoonful of sugar†and “milkâ€, and the machine will start its actions according to a series of clear steps. First, throw a tea bag into a cup, pour boiling water, add a spoonful of sugar and milk, and then make a bang. A cup of western tea will appear in front of you. This is an algorithm. The first step of the algorithm is related to the interaction entry. At this stage, whether it is from the mobile phone as an entrance, or from the voice as an entrance, or other methods, the starting point of the algorithm is to “input†the machine. When the AI ​​matures, the entrance of the algorithm will be fully transferred. Give the machine. In the field of smart home, although the interactive entrance is varied, although the current hardware terminal intelligence is much slower than the development of the Internet and software, the actual solution algorithm is actually unchanged.
"Human Sense Algorithm" and "Machine Algorithm" Matching: Humans have a 99% decision, including important choices regarding spouses, careers, and residences, and are processed by various evolutionary algorithms. We call these algorithms Feelings, emotions and desires. The original algorithm is only the algorithm that our body and brain carry. However, in the future, in the home field, these algorithms will be handed over to the machine, thus liberating the body of many housewives. When the underlying structure of the hardware terminal is smart enough, the accuracy of the algorithm will directly affect the service quality of the smart home device. This is the matching degree.
The aforementioned from Automation to smart, in fact, talked about the accuracy of the algorithm, that is, the matching of the “traditional human-sensing algorithm†to the “machine-intelligence algorithmâ€. The control of this precision depends on cloud computing and big data. , giving more "smart" brain automation. In simple terms, the algorithm in the “traditional sense†and the algorithm given in the “machine†are logically matched. The evolution process of the smart home is to perfectly match the “traditional algorithm†with the “machine algorithm†and finally realize the perfect “AI. "Algorithm", so we will hear the mobile phone control 1.0, device interconnection 2.0, perceptive learning 3.0 of the domestic smart home business layout, and even the 4.0 of the AI ​​era. When the N.0 era comes, it is the era of smart home intelligence. The "machine algorithm" at this time will be a customized standardized algorithm. For the algorithm between "machine and machine" or "device" and "device", it is an interactive decision.
We often say that a clever woman is an algorithm, and the cooktop is cloud computing, and rice is big data. The skill of a clever woman can meet Junshang's taste, which is the matching degree. The "algorithms" that we now touch are actually dealing with the feelings of life. In the era of full-scale popularization of smart homes, it is not to reduce these feelings, but to give humans more time to deal with meaningful feelings and to live in. The experience feedback pleasure brought by the algorithm is obtained, which is a higher form of the algorithm. For humans, the algorithm is the sensation, and for the machine, the algorithm is the logic that models the human-to-object relationship by mathematical symbols and markers.
The mathematical world of smart homes: The machine algorithms in the smart home domain are built from the smallest structural module by complex models, and the life events in the home domain to simulate people are trivial and simple to describe is very complicated. Our common simple logic is that someone has a highly contagious disease Y and that patient X is in close contact with someone Z. Using this logic, Z can be deduced to have Y disease. And in the field of home intelligence, such as the scene that the user causes wake up, you do not know what temperature the user likes? What kind of illumination do you like? What information broadcast? What breakfast do you want in the morning? When will you go out? What is your schedule today?
Our lives are too realistic. Almost every rule is full of uncertainty, interference, and exceptions. There are many variables in this. Traditional statistical and probabilistic models are difficult to navigate our personalized lives. In the mathematical world, they are "parameters. "" and "random variables." If this is the reasoning, the high level of the algorithm is what we call the thinking mode of the human brain. This requires big data and cloud computing. We can also call it Artificial Neural Home System (ANNS).
Editing comments: Although smart homes are algorithms, matching algorithms seamlessly is not easy, just from the distribution of sensor networks, the upgrade of interaction portals, the interconnection of technology protocols, the mutual cooperation of software platforms, and the multi-system and multi-hardware The integration, the protection of privacy protocols, the collection of big data, the docking of the cloud platform, the implantation of the AI, and so on, each of which is a level that the "algorithms" have to overcome. However, these levels are now leaping synchronously, and the entire industry chain is gradually maturing. In addition to the improvement of the algorithm, there are business and service landing models. Therefore, although the era of smart homes is a long way to go, the algorithm is carefully polished but Build our future life world.
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