Brahmantio, Arya Rangga (2021) Rancang Bangun Pengendalian Dan Monitoring Egg Incubator Berbasis Internet Of Things. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Dalam penelitian tugas akhir ini dilakukan kajian tentang Rancang Bangun Pengendalian dan Monitoring Egg Incubator Berbasis Internet of Things. Pada penelitian ini dilakukan kontrol temperatur dan kelembapan menggunakan kontrol digital dan kontrol PID. Penelitian dimulai dengan melakukan perancangan ruang inkubator dengan menggunakan dan perancangan sistem kontrol. Dalam merancang sistem kontrol dilakukan pula perhitungan model matematis inkubator dan fungsi transfer inkubator. Fungsi transfer digunakan untuk melakukan tunning PID. Didapatkan nilai parameter PID dengan Kp, Ki dan Kd adalah masing-masing 8.0765, 181.7 dan 0.0057881. Hasil tunning ini didapatkan nilai rise time adalah 0.0172 s, settling time 0.084 s dan overshoot 3.67%. Pada tunning didapatkan bahwa sistem closed-loop dalam keadaan stabil. Pada proses pembuatan alat, digunakan DHT22 sebagai sensor kelembapan dan sensor temperatur. Digunakan relay sebagai aktuator sistem kontrol digital dan heating element sebagai aktuator sistem kontrol PID. Heating element dapat dikontrol dengan menggunakan Pulse Width Modulation (PWM) dan MOSFET module. Perancangan Internet of Things dilakukan dengan menggunakan platform Blynk. Data yang didapat dari mikrokontroler dikirimkan dengan ke server blynk dengan menggunakan internet. Kemudian, blynk pada smartphone yang terkoneksi dengan server Blynk mendapatkan data dan diolah dalam bentuk User Interface yang mudah dimengerti. Dalam percobaan dapat disimpulkan bahwa pengendalian dan monitoring egg incubator berbasis IoT dapat dilakukan dengan baik dan respon dari sistem kontrol PID yang memiliki error kurang dari 2% dengan set point 38◦C adalah rise time selama 262 detik, settling time selama 331 detik dan time constant selama 169 detik. Daya tetas inkubator adalah 45,83%.
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In this final project research, we have done a study on the Design of Control and Monitoring of Egg Incubator Based on the Internet of Things. In this study, temperature and humidity control was carried out using digital control and PID control. The research began by designing the incubator room by using and designing a control system. In designing the control system, the calculation of the mathematical model of the incubator and the transfer function of the incubator is also carried out. The transfer function is used to perform PID tuning. The PID parameter values obtained with Kp, Ki and Kd are 8.0765, 181.7 and 0.0057881 respectively. The results of this tunning show that the rise time adalah 0.0172 s, settling time 0.084 s and overshoot 3.67%. In the tuning, it is found that the closed-loop system is in a stable state. In the process of making the tool, DHT22 is used as a humidity sensor and a temperature sensor. Relays are used as actuators for digital control systems and heating elements as actuators for PID control systems. Heating elements can be controlled using Pulse Width Modulation (PWM) and MOSFET modules. The design of the Internet of Things is done using the Blynk platform. The data obtained from the microcontroller is sent to the blynk server using the internet. Then, blynk on a smartphone that is connected to the Blynk server gets data and is processed in the form of an easy-to-understand User Interface. In the experiment, it can be concluded that the control and monitoring of the IoT-based egg incubator can be done well and the response of the system which has an error of less than 2% with a set point of 38◦C is that the rise time is about 262 seconds, the settling time on the system is 339 seconds and time constant is about 169 seconds. The hatchability of the incubator was 45.83%.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Internet of Things, Kontrol PID, Inkubator Telur, PID Control, Egg Incubator, PWM |
Subjects: | Q Science > QC Physics > QC320 Heat transfer S Agriculture > SF Animal culture T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3070 Automatic control |
Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
Depositing User: | Arya Rangga Brahmantio |
Date Deposited: | 31 Aug 2021 13:55 |
Last Modified: | 31 Aug 2021 13:55 |
URI: | http://repository.its.ac.id/id/eprint/90608 |
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