Utilization of the Internet of Things for Monitoring Salt Houses with Fuzzy Logic Rule-Based Model

Abstract

Salt is a crystalline substance that is important and needed in human life. However, salt production still needs to overcome various obstacles, such as the dependence on sunlight, the low quality and presentation of salt, and instability during the manufacturing process. Therefore, a better monitoring system is needed to increase and stabilize the temperature in salt production. To find an effective solution to salt production and quality problems using the Internet of Things through a salt house monitoring system that uses fuzzy logic rule-based model to automatically control the temperature by adjusting the brightness level of the light as a heat source. A monitoring website displays the news, which users can access from a laptop or cellphone connected to the Internet via a network. In the test scenario, the IoT salt house prototype could convert seawater into salt within six days by setting a temperature of 25.50℃-53.10℃ and humidity of 25.50RH-96.00RH. Using an IoT-based salt house prototype increased the efficiency and speed of making salt from seawater.