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Low-Cost Smartphone-Controlled Exercise Machine for Arm and Leg Muscles
(2026-01-01)
Pimpol, Jirapun
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Channumsin, Orapin
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Pattoom, Pongwat
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Weawthaisong, Wipakpong
;
Singusaha, Orathai
This work proposes the design of a smart exercise machine for arm and leg muscles. The designed muscle arm and leg exercise machine can be controlled wirelessly through a smartphone application, which features a 3-level speed adjustment function. The motor speeds for arm muscle exercises are defined as 180, 210, and 240 rpm, while the speeds for leg muscles are set as 240, 270, and 300 rpm, respectively. In addition, the proposed machine incorporates a time function for muscle exercise and it can control the spin direction to rotate either forward or backward, depending on the requirement, using a microcontroller. Furthermore, it can display the distance traveled by an application on a smartphone. The experimental operation of the automatic arm and leg exercise machine revealed that it could accomplish its intended functionality.
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Electronic nose ammonia gas monitoring via IoT system for Chlorella sp. cultivation
(2023-01-01)
Srinuanjan, Keerayoot
;
Kruakuanphet, Aphichaya
;
Phongwisit, Phachara
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Yindeesuk, Witoon
;
Kamoldilok, Surachart
In this paper, we present an electronic nose ammonia gas monitoring via IoT system for Chlorella sp. cultivation. The MQ–137 gas sensor module is selected as the primary sensor for measuring ammonia gas concentration. The pH sensor module is the sensor for measuring the pH levels in Chlorella sp. ponds. The MQ–137 gas sensors are calibrated with a known concentration of ammonia gas in the calibration box. Calibration conditions are set corresponding to low concentration of ammonia gas produced by Chlorella sp. cultivation. The pH sensor module is calibrated against a standard pH buffer. The calibration data obtained from the calibration method is input into computer programming and processed by the ESP8266 microprocessor. After calibration, the MQ–137 gas sensor and pH sensor modules are used to measure the ammonia gas concentration and pH levels in the Chlorella sp. ponds. Chlorella sp. is cultivated under three conditions of light intensity, natural light with an average light intensity of 1521 Lux, and artificial light with a light intensity of 1000 Lux and 2000 Lux, respectively. The ammonia gas concentration and pH levels of Chlorella sp. cultivation are transferred to the cloud system and displayed via the IoT system. And the system can also send a notification to a smartphone when ammonia gas concentration and the pH levels reach the specified value.
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Multi-range Ammonia Gas Sensor Control and Monitor via IoT System
(2022-01-01)
Kruakuanphet, Aphichaya
;
Phongwisit, Phachara
;
Yindeesuk, Witoon
;
Kamoldilok, Surachart
;
Srinuanjan, Keerayoot
In this paper, we present a multi-range of ammonia gas concentration control and monitoring via IoT system. We can select the ammonia gas concentration measurement range by adjusting load resistance within the voltage divider circuit. The appropriate measurement range, which corresponds to the concentration of ammonia gas produced by agricultural and industrial activities, can control and monitor via Blynk application. The MQ-137 gas sensor is selected as the main sensor, and each load resistance condition within the voltage divider circuit is calibrated with known ammonia gas concentration inside a calibration box. The calibration data is input into computer programming and processed by ESP8266 microprocessor. After calibration, we obtained a multi-range ammonia gas sensor suitable for measuring the ammonia gas concentration for each concentration range. The experiment showed that load resistance affects the measurement accuracy of ammonia gas concentration. We can select the load resistance suitable for the ammonia gas concentration and display on a smartphone via IoT system.
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Automatic Monitoring and Controlling System for Hydroponics Greenhouse Environments Through Smartphone Application
(2022-01-01)
Channumsin, Orapin
;
Trancharoen, Jirasin
;
Sonchaiyaphum, Sarut
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Pimpol, Jirapun
;
Tangsrirat, Worapong
This article proposes the design and construction of environmental control systems for hydroponics grown vegetables that enable automated control over the environment inside the greenhouse to be most suitable for the plants growth by using microcontroller processing. The systems can track various measurements such as temperature, humidity, intensity of light, water pH value, and water level in a greenhouse by using Blynk application on a smartphone as well as LCD display screen surrounding the greenhouse area. In addition, the systems can automatically control the operation of ventilation fans and mist sprayer machine according to the specified humidity temperature value and it can be set ON and OFF timer for whirlpool pump and LED light bulbs. Moreover, after a 42-day-Testing period of planting three varieties of lettuce, which are Red Oak, Green Oak, and Frillice Iceberg Lettuces, it has been found that Red Oak lettuces have an average width of 21.2 cm, a length of 26.4 cm with a weight of 120 gram, while Green Oak lettuces have an average width of 8.1 cm., a length of 31.0 cm with a weight of 120 gram and lastly, Frillice Iceberg Lettuce has an average width of 19.0 cm, a length of 46.9 cm and a weight of 200 gram.

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