Smart farm using wireless sensor network for data acquisition and power control distribution
This study presents the design and implementation of Smart Farming having independent power source from the Solar energy and Plant Chamber with controlled environment using Wireless Sensor Network (WSN). The uniqueness of this study from the other Smart Farming is having a self-sustainable energy wi...
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| Format: | text |
| Language: | English |
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Animo Repository
2018
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/etd_doctoral/537 |
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| Institution: | De La Salle University |
| Language: | English |
| Summary: | This study presents the design and implementation of Smart Farming having independent power source from the Solar energy and Plant Chamber with controlled environment using Wireless Sensor Network (WSN). The uniqueness of this study from the other Smart Farming is having a self-sustainable energy with an intelligent distribution of power for the whole system. The power sources support the following: irrigation system, environment control system, water source/reservoir system, wireless sensor network system and monitoring and control system.
The Irrigation system used motor speed controller for Three Phase Motor with Variable Frequency Driver (VFD) for irrigation system of Smart Farming using Fuzzy Logic Algorithm program inside a Micro-Control Unit (MCU) environment. The desired motor speed controller is obtained using fuzzy inputs that consider three phenomenon such as: availability of energy within the system, reservoir water level and environment temperature. These fuzzy inputs are feedback data from the water reservoir level sensor (plant water requirements), environment/temperature sensor and current sensor. Different frequencies were used to test the controllers performance in real time undergoing different water level and power load variations.
The temperature control consist of inside temperature sensor, outside temperature sensor, one exhaust fan, two blower fan and air-condition to give optimum temperature needed by the plant inside the plant chamber. It used wireless sensor network for real time monitoring and feedback. |
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