Smart Farm Control Methods Using Cloud Computing and Remote Senor

摘要

Working and output voltages of temperature, humidity, flow rate, and illuminance sensors used in each smart farm are different from each other such that different control program or a setting value is used for each sensor. Moreover, when a cultivated agricultural product is changed, the setting value should be also changed. The setting value can be changed with a setting button installed in a controller. However, when a type of a sensor is changed, the control program should be generally changed. To achieve the problem, a cloud computing system of the present invention is provided. In the cloud computing system, previously installed temperature, humidity, flow rate, and illuminance sensors are used without modification, and a smart farm sensor controller performs analog-digital conversion of a sensor value measured in the sensors, and transmits a sensor measurement value to a cloud computing server as it is without converting a digital sensor value into temperature, humidity, flow rate, and illumination. The cloud computing server indexes a code assigned to a farm, a greenhouse, or a smart farm sensor controller, reads sensor correction data from an environment sensor database constructed therein based on a maker and a model of the temperature, humidity, flow rate, and illuminance sensors to convert the digital sensor value into a real value indicating temperature, humidity, flow rate, and illumination, and transmits the real value to the smart farm sensor controller. Accordingly, provided is a control environment capable of being operated without modifying a program of a smart farm sensor controller even if types and models of sensors are different.