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- W4210961111 abstract "With the acceleration of urbanization, people living in cities have a fast pace of life, great work pressure, and difficult to form a regular work and rest. As an emerging industry, indoor greening began to develop rapidly, which is of great significance to increase the area of urban green space and improve the living environment in a specific range. Aiming at the contradiction between urban resources and demand, the existing indoor greening automatic management system is studied, and an indoor greening intelligent management system based on wireless sensor network is designed. After careful study of indoor greening and wireless sensor technology, the design scheme is obtained by comprehensively considering the factors of intelligent management and resource saving. The hardware and software are designed from four parts: acquisition end, control end, gateway, and host computer. The plant growth environment parameters such as light intensity are obtained in real time. Using analytic hierarchy process and fuzzy comprehensive evaluation method to evaluate and analyze the plant growth environment, it can collect the relevant data of light, temperature, humidity, gas, and soil in real time and transmit the collected data to the host computer through wireless sensor network. The quantitative environmental suitability index is put forward, and the intelligent management of indoor greening plants is realized through the feedback control system. This topic combines wireless sensor technology with indoor greening, which can provide a new application field for the existing indoor greening. Once mature products are launched into the market, it can save time and energy for people to raise plants and better beautify and optimize the living environment." @default.
- W4210961111 created "2022-02-13" @default.
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- W4210961111 date "2022-02-11" @default.
- W4210961111 modified "2023-09-25" @default.
- W4210961111 title "Research on Intelligent Control System of Indoor Greening Based on Wireless Sensor Network" @default.
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- W4210961111 doi "https://doi.org/10.1155/2022/9741906" @default.
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