| | | | | variety of simulated human intelligence capabilities. For |
| Click to view the "electrical" magazine article the | | | | example, there are a variety of multi-function rice |
| other heavy | | | | cooker fuzzy simulation of human intelligence |
| Today, customers increasingly high expectations of | | | | capabilities. |
| home appliances, home appliance manufacturer that | | | | Intelligent household appliances currently used by the |
| promote the full development of new, intelligent | | | | intelligent control technology is mainly fuzzy control. A |
| home appliance products to meet customer needs, in | | | | small number of high-end appliances are also used in |
| order to gain more market share; and intelligent | | | | neural network technology (also called neural network |
| control technology, The rapid development of | | | | fuzzy control technology), fuzzy control technology is |
| information technology for automation and intelligent | | | | currently the most widely used smart intelligent home |
| home appliances possible. Therefore, intelligence is the | | | | appliances control technology. The reason is that the |
| development trend of household appliances, a trend | | | | technology and human thinking has the consistency |
| already visible today. | | | | and understanding is more convenient and does not |
| Statusintelligent home appliances | | | | require advanced mathematical knowledge |
| Traditional household appliances with air conditioning, | | | | representation, can be constructed with a single chip. |
| refrigerator, vacuum cleaner, rice cookers, washing | | | | Fuzzy logic and control technology, but there is also a |
| machines, new appliances with electric stove, | | | | lack of place, that there is no learning, so that fuzzy |
| Disinfecting Cabinet, steaming stew pot and so on. | | | | control of home appliances is difficult to accumulate |
| Whether new or traditional household appliances | | | | experience. The knowledge acquisition and |
| household appliances, the overall technology is | | | | accumulation of experience and new ideas generated |
| constantly improving. The progress of home | | | | by this is the most significant embodiment of human |
| appliances, the key is to use advanced control | | | | intelligence. Household appliances during operation |
| technology, making household appliances from a | | | | there is between the external environment, internal |
| mechanical appliances into a kind of intelligent devices, | | | | parts wear and tear and user habits, and therefore |
| intelligent home appliances reflect the face of the | | | | require appliance can learn from these state. For |
| latest technology appliances. | | | | example, a washing machine in the spring, summer, |
| Intelligent home appliances fall into two categories: | | | | autumn and winter in four seasons is not the same |
| First, electronic, machinery, advanced technology and | | | | as the external environment, due to different |
| equipment; second simulation the family experience | | | | temperature and ambient temperature, washing |
| of skilled operators for fuzzy reasoning and fuzzy | | | | procedures when there are differences, washing |
| control. With intelligent control technology, a variety | | | | machine should be able to automatically learn |
| of emerging smart home appliances, for example, the | | | | different environments washing procedures; In |
| combination of computer and numerical control | | | | addition, Early in the washing machine, washing |
| technology, developed by NC fridge, a rice cooker | | | | machine parts are tightly coupled state, and after a |
| features fuzzy logic, variable frequency air | | | | run-in period, washing machine parts in a smooth |
| conditioning, automatic washing machines, etc. . | | | | coupling state, long-term applications, the washing |
| Different levels of intelligent smart home appliances, | | | | machine parts in a loosely coupled state. For different |
| the same degree of intelligence products are quite | | | | times, washing machines should be properly adjusted |
| different, and can be divided into a number of | | | | their status, should also produce the corresponding |
| individual intelligence and intelligent. Only one single | | | | optimal control process; In addition, many times in the |
| smart appliances simulate human intelligence | | | | washing washing machine, it should automatically learn |
| capabilities. For example, fuzzy rice cooker, the | | | | a particular quality clothing, clothing, under the |
| detection of appetite and make the corresponding | | | | condition of optimal washing process, when the user |
| control is a simulation of human intelligence process. In | | | | put different amounts of different quality clothes, |
| the rice cooker, the detection of appetite can not | | | | washing machine should automatically learn the |
| use weight sensors, it is not permitted by | | | | optimal washing procedures after?? This requires a |
| environmental overheating. Is endothermic by more | | | | new intelligent technologies: neural network control. |
| than appetite long time people thought that the | | | | Smart appliances, "learning" of |
| process of detection can be achieved appetite, and | | | | Learning process neural network appliance to the |
| adopt different according to different appetite | | | | desired signal and the actual signal of the error tends |
| control process. This rice cooker is a cooker with | | | | to infinitesimal goal of learning a "time and energy |
| single intelligence, which uses fuzzy reasoning to test | | | | objectives" approach is to reach a goal to reduce the |
| appetite, while fuzzy control reasoning to control the | | | | time and energy and become stable, the learning end |
| whole process. A number of smart appliances in a | | | | of the process. |
| number of intelligent home appliances, there are a | | | | |