scholarly journals Water Discharge and River Depth Measurement Using Fuzzy Logic Based on Internet of Things

2020 ◽  
Vol 4 (3) ◽  
pp. 384-391
Author(s):  
Kurnia Wisuda Aji ◽  
Aji Gautama Putrada ◽  
Sidik Prabowo ◽  
Mas'ud Adhi Saputra
Keyword(s):  
Fuzzy Logic ◽  
Internet Of Things ◽  
Real Time ◽  
Water Flow ◽  
Water Discharge ◽  
Ultrasonic Sensor ◽  
Flow Sensor ◽  
Depth Information ◽  
Sufficient Information ◽  
Depth Measurement

Based on statistics from Indonesian National Board for Disaster Management (BNPB) there are still many casualties caused by drifting or drowning in rivers every year. This is because most victims do not have sufficient information related to water discharge and river depth. In an effort to reduce the potential victims of these problems, a prototype was designed to provide a warning regarding river status as a display in the detail condition of the river in real-time. In this research, a prototype measuring instrument was produced that could provide information on water discharge and river depth in a sustainable and real-time manner. The prototype device consists of two main sensors as an implementation of internet of things, a water flow sensor and an ultrasonic sensor. Water flow sensor used to calculate the water discharge, and ultrasonic sensor used to measure depth of the river. Fuzzy logic has been used because it can work well for simple classification and work similarly like human reasoning. This information can be monitored through the website and LCD attached on the device. The results of the study with the help of the Linear Congruential Generator (LCG) method indicated that greater input value of the water discharge and the river depth caused more dangerous of the river status. Whereas the prototype produced has an error range of 5-6 cm for depth information generated by the ultrasonic sensor while the accuracy of the water flow sensor on the master device is 79.75% and the slave device is 84%.  

scholarly journals Design and Development of Water Distribution Monitoring System in Regional Drinking Water Companies (PDAM) Based On Internet Of Things

2021 ◽  
Vol 2111 (1) ◽  
pp. 012024
Author(s):  
Efrizon ◽  
M. Irmansyah ◽  
Era Madona ◽  
N Anggara ◽  
Yultrisna
Keyword(s):  
Internet Of Things ◽  
Water Level ◽  
Water Flow ◽  
Distribution System ◽  
Water Distribution ◽  
Water Discharge ◽  
Flow Sensor ◽  
Sensor Reading ◽  
Water Companies ◽  
Monitor Data

Abstract The purpose of this study is to create a prepaid PDAM clean water distribution system using a microcontroller based on the Internet of Things (IoT). The hardware used to realize the system consists of ultrasonic sensors, water flow sensors, relays, LCD buzzers and Arduino. ESP 8266 01 for delivery to the Thingspeak app. From the test results obtained HC-SR04 ultrasonic sensor reading error occurs when the water level is low and too high, the maximum measurable water level is 95%. When calculating the comparison between the water discharge that is read by the sensor and that measured by the measuring cup, the results are always not the same. The error when testing the water flow sensor at the water level is less than 49% this is influenced by the speed of the water fired by the pump, where the pump will be under low pressure when the water level is below that value. The system can monitor data readings from the water flow sensor using the ESP8266 monitored on the thinkspeak web server using a smartphone. Overall the tool can function well.

Real-time depth measurement in glow discharge optical emission spectrometry via differential interferometric profiling

2017 ◽  
Vol 32 (9) ◽  
pp. 1798-1804 ◽  
Author(s):  
S. Gaiaschi ◽  
S. Richard ◽  
P. Chapon ◽  
O. Acher
Keyword(s):  
Glow Discharge ◽  
Real Time ◽  
Measurement Technique ◽  
Optical Emission ◽  
Optical Emission Spectrometry ◽  
Emission Spectrometry ◽  
Depth Information ◽  
Depth Measurement

We developed an in situ measurement technique implemented on a Glow Discharge Optical Emission Spectrometry (GD-OES) instrument, which provides the depth information during the profiling process.

scholarly journals Sistem Pemantauan dan Pendeteksi Kebakaran berbasis Logika Fuzzy dan Real-time Database

2021 ◽  
Vol 9 (3) ◽  
pp. 577
Author(s):  
EVA AISAH HW ◽  
ROHMAT TULLOH ◽  
SUGONDO HADIYOSO ◽  
DADAN NUR RAMADAN
Keyword(s):  
Fuzzy Logic ◽  
Internet Of Things ◽  
Real Time ◽  
Human Error ◽  
Detection System ◽  
Environmental Parameters ◽  
Fire Detection ◽  
Smoke Detector ◽  
Web Interface ◽  
Average Transmission

ABSTRAKKebakaran rumah seringkali disebabkan oleh kelalaian manusia. Oleh karena itu diperlukan sebuah sistem yang dapat mendeteksi kebakaran secara online realtime. Pada studi ini, dirancang dan diimplementasikan sebuah sistem pendeteksi kebakaran dengan sejumlah sensor untuk mengukur beberapa parameter lingkungan. Sistem ini dilengkapi dengan pengambil keputusan menggunakan metode fuzzy logic. Parameter lingkungan yang diukur mencakup suhu ruangan, asap dan api yang kemudian dapat dimonitor secara real-time melalui web interface menggunakan Internet of Things platform. Pengujian menunjukkan bahwa detektor dapat mendeteksi api dengan jarak hingga 100 cm dengan akurasi mencapai 100%. Pengujian sensor suhu menunjukkan akurasi 98.79%, sementara itu detektor asap memperoleh akurasi 77.81%. Sistem ini mampu mengirimkan data dengan rata-rata delay transmisi 0.62 detik. Sistem usulan ini diharapkan dapat menyediakan pemantauan kondisi suatu ruangan secara real-time.Kata kunci: Kebakaran, Real-Time, Deteksi, Fuzzy, Internet Of Things ABSTRACTHouse fires are often caused by human error. Therefore, we need a system that can detect fires online real-time. In this study, a fire detection system with a number of sensors is designed and implemented to measure several environmental parameters. This system is equipped with a decision maker using the fuzzy logic method. The environmental parameters measured include room temperature, smoke and fire which can then be monitored in real time via a web interface using the Internet of Things platform. Tests show that the detector can detect fires with a distance of up to 100 cm with an accuracy of up to 100%. The temperature sensor test shows an accuracy of 98.79%, while the smoke detector generates an accuracy of 77.81%. This system is capable of sending data with an average transmission delay of 0.62 seconds. This proposed system is expected to provide realtime monitoring of the condition of a room.Keywords: Fire, Real-time, detection, Fuzzy, internet of things

PROTOTYPE SISTEM MONITORING PENGGUNAAN AIR BERBASIS INTERNET OF THINGS PADA PDAM TIRTA BENTENG KOTA TANGERANG

ICIT Journal ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 82-93
Author(s):  
Ani Dewi Ariessanti ◽  
Martono Martono ◽  
Ferry Afrizal
Keyword(s):  
Internet Of Things ◽  
Water Flow ◽  
Flow Sensor

ir merupakan kebutuhan pokok yang utama dalam kehidupan, Untuk memenuhi kebutuhan air, masyarakat di kota-kota besar bergantung pada pasokan air dari perusahaan program pemerintah yaitu PDAM, yang merupakan perusahaan milik pemerintah daerah yang mendisitribusikan air bersih untuk masyarakat. Saat ini, Informasi tagihan yang dikenakan pelaggan dari konsumsi air masih minim, Pelanggan hanya mengetahui tagihan ketika ingin melakukan pembayaran,Tidak hanya itu, kadangkala biaya yang dikenakan sangat besar dikarenakan pelanggan tidak dapat melihat berapa banyak air yang digunakan. Dengan demikian pada penelitian ini membahas tentang sebuah prototype sistem monitoring penggunaan air berbasis IoT menggunakan mikrokontroller Wemos D1 Mini dengan mengukur volume dari sambungan air, prinsip hall efek digunakan untuk mengukur penggunaan air yang menggunakan sensor water flow. Keluaran dari sistem monitoring ini adalah informasi tentang volume debit penggunaan air dan harga yang dikenakan didalam sebuah LCD serta website. Metode yang digunakan pada penelitian ini prototype evolutionary yang dimana alat berupa rangkaian prototype dari beberapa komponen, hasil dari penelitian ini diharapkan dapat meningkatkan pelayanan terhadap pelanggan. Kata kunci: Sistem Monitoring, Wemos D1 Mini, Water flow sensor.

scholarly journals PLTD Engine Tank Oil Volume Monitoring System using HC-SR04 Ultrasonic Sensor Based on Internet of Things (IoT)

2021 ◽  
Vol 4 (1) ◽  
pp. 134-138
Author(s):  
Eko Prayetno ◽  
Trisianto Nadapdap ◽  
Ani Sari Susanti ◽  
Delta Miranda
Keyword(s):  
Information System ◽  
Power Plant ◽  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Distribution System ◽  
Ultrasonic Sensor ◽  
Accurate Information ◽  
Oil Distribution ◽  
Volume Level

The Diesel Power Plant is an oil-fired generator. The PLTD engine in Ranai uses Bio Solar fuel to produce 1 MW (MegaWatt) of power. The PLTD engine in Ranai each has one tank with a capacity of 1820 liters. Within 1 hour of using a machine with a power of ±, 750 KW (Kilo Watt) can consume ± 182 liters of oil. The IoT system serves to simplify the work in the oil distribution system. This IoT system uses the ESP8266 as a microcontroller, the HC-SR04 ultrasonic sensor as a volume level reader for the oil in the engine tank, and a relay as a replacement switch pump on or off. This tool works in real-time to help reduce the risk of negligence in refueling the engine. The Device testing results showed good results because the error value in the measurement distance test was 0%. The tool can provide fast and accurate information because it is equipped with an information system using Android and notifications from email messages.

scholarly journals RANCANG BANGUN PEMBACAAN VOLUME AIR YANG DIKONSUMSI PELANGGAN PDAM MELALUI SMS

Foristek ◽  
2019 ◽  
Vol 9 (2) ◽  
Author(s):  
Jepri Purwantoro ◽  
Tan Suryani Sollu ◽  
Nurhani Amin
Keyword(s):  
Real Time ◽  
Water Flow ◽  
Water Consumption ◽  
Flow Sensor ◽  
Water Usage ◽  
Average Deviation ◽  
Total Water Consumption ◽  
Pulse Output ◽  
Arduino Uno ◽  
Reading System

The PDAM is still using an analog flow meter. For PDAM customers, information on analog flow meters is difficult to access and convert into payment amounts. With an analog reading system, the PDAM officer still records using the manual method of the customer's total water consumption data. From the problems above, we need a digital reading system that can display customer water consumption and payment data that can be accessed by customers. The reading of the volume of water consumed by PDAM customers via SMS is a device designed based on the Arduino Uno microcontroller, equipped with the ability to monitor water usage in real time using SMS media. The reading of the volume of water consumed by PDAM customers uses a water flow sensor that functions to read the flow of water that passes and provides pulse output. Arduino Uno receives pulse output from the water flow sensor which is then converted into a number that shows the number and tariff of water usage of PDAM customers. The LCD displays information on total usage, usage rates, time and date in real time. The SIM800L module sends SMS based on orders received from customers and PDAM officials. The results achieved in this study are the water flow sensor is able to read the amount of water consumption of PDAM customers with an average deviation of 0.034%. Tests show the results of payment conversions are in accordance with the PDAM payment model in Palu City.

scholarly journals Implementasi Kontrol Fuzzy Logic pada Kontrol Takar Cairan Otomatis

2020 ◽  
Vol 5 (2) ◽  
pp. 29
Author(s):  
Imam Wasita Adi ◽  
Sidik Nurcahyo ◽  
Eka Mandayatma
Keyword(s):  
Fuzzy Logic ◽  
Water Flow ◽  
Water Hammer ◽  
Flow Sensor ◽  
Diaphragm Pump ◽  
Servo Valve ◽  
Water Hammer Effect

Berkembangnya teknologi yang dibangun dalambidang teknologi industri. Salah satu yang utama ialahuntuk menakar cairan yang mendekati presisi, danmenghindari fenomena water hammer effect yang menjadimasalah pada proses flow cairan, ini terjadi ketika valveyang digunakan untuk menutup saluran ditutup denganrentang waktu singkat dan berdampak pada sistem takarcairan tidak dapat bekerja dengan penakaran yangmendekati akurat. Hal ini menyenbabkan berkurangnyakualitas pada sistem penakar cairan. Solusi yang ditawarkanyaitu berupa proses pada sistem kendali dengan mengurangikemungkinan terjadi water hammer effect dan errorpenakaran cairan dengan mengaplikasikan Kontrol LogikaFuzzy (KLF) pada sistem. Dengan mengimplementasiakankendali cerdas, servo Valve dapat diatur agar aktif tidakhanya pada posisi menutup “0” atau membuka “1” saja,penggunaan valve secara otomatis dengan kontroler dapatmengurangi tenaga konvensional, proses produksi lebihpresisi karena bersifat computerize. Karena membutuhkankepresisian saat penakaran maka dibangunlah sistemkendali takar cairan otomatis yang dikendalikan agarpekerjaan menjadi lebih mudah dan efisien denganmenggunakan diaphragm pump motor DCyang dapatdikendalikan menggunakan driver PWM, agar takar cairanmendekati akurat digunakan motor servo MG996 untukmengontrol valvediharapkan agar tidak menutup valvesecara manual oleh user. Sistemscanning water flow secarabertahap terbaca oleh flow sensor OF05ZAT dapatditentukan dengan keakurasian yang relatif tinggi.Diharapkan dengan adanya takar cairan tersebut dapatmeningkatkan efektivitas produksi demi menciptakansistem penakar cairan yang mendekati akurat.

scholarly journals Thingsboard-based prototype design for measuring depth and pH of kulong waters

2021 ◽  
Vol 926 (1) ◽  
pp. 012025
Author(s):  
T F Ilyas ◽  
F Arkan ◽  
R Kurniawan ◽  
T H Budianto ◽  
G B Putra
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Ph Value ◽  
Measurement Data ◽  
Mining Area ◽  
Depth Measurement ◽  
Natural Processes ◽  
Internet Connection ◽  
Iot Platform ◽  
Prototype Design

Abstract Kulong is a post-tin mining area that is not reclaimed, resulting in the formation of a basin that is gradually filled with water through natural processes. In carrying out an inventory of kulong water to find out the potential and benefits of its water, a method is needed to measure the depth and pH value of kulong water in a practical way and can be monitored in real-time. Depth measurement usually uses an echosounder and to check the pH value using a manual pH meter. However, this method is somewhat less effective because it requires a relatively long process and the resulting data must be recorded manually. In this study, a thingsboard-based prototype design was designed to measure the depth and pH of the Kulong waters. measurement data is processed using a hotspot or WIFI internet connection. The measured value data will be processed and uploaded to the Thingsboard server, which is an online-based Internet of Things (IoT) platform. So that data can be displayed in real-time through the website and can be accessed via a laptop or smartphone.

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