scholarly journals Sistem Monitoring Kedalaman Dan Kekeruhan Air Berbasis Internet Of Things

Author(s):  
Nurdian Herlambang ◽  
Rully Pramudita ◽  
Endang Retnoningsih

Abstrak: Berdasarkan hasil penelitian yang dilakukan terdapat masalah yang ditemukan yaitu pada saat proses penggecekan kedalaman dan kekeruhan kualitas air masih menggunakan sistem secara manual yang melibatkan peran karyawan dalam melakukan proses penggecekannya dengan menggunakan alat turbidity meter dan level transmitter. Oleh sebab itu peneliti memberikan masukkan dan saran untuk proses penggecekan kedalaman dan kekeruhan air tersebut menggunakan sensor dalam mendapatkan hasil penggecekannya dan sistem berbasis internet of things untuk memonitoring hasil dari sensor yang digunakan. Lalu hasil dari prosesnya dapat dimonitoring langsung kedalam platform website. Didalam penelitian ini penulis menggunakan metode logika fuzzy logic untuk memprogram perangkat kerasnya dan hasil monitoringnya menggunakan website dengan framework codeigneter. Yang bertujuan untuk membangun sistem monitoring penggecekan kedalaman dan kekeruhan kualitas air secara otomatis menggunakan sensor ultrasonic dan sensor turbidity.   Kata kunci: fuzzy logic, internet of things, sensor turbidity, sensor ultrasonic, sistem monitoring   Abstract: Based on the results of the research conducted, there were problems found that when the process of checking the depth and turbidity of water quality was still using a manual system that involved the role of employees in carrying out the checking process using a turbidity meter and level transmitter. Therefore, researchers provide input and suggestions for the process of checking the depth and turbidity of the water using sensors to get the results of checking and an internet of things based system to monitor the results of the sensors used. Then the results of the process can be monitored directly into the website platform. In this research, the writer uses fuzzy logic logic method to program the hardware and the monitoring results use a website with codeigneter framework. Which aims to build a monitoring system for checking the depth and turbidity of water quality automatically using ultrasonic sensors and turbidity sensors..   Keywords: fuzzy logic, internet of things, monitoring systems, turbidity sensors, ultrasonic sensors

Author(s):  
Hafiz Saad Ahmad, Ali Hasnain

In recent years evolution of Internet of Things has brought revolution in many different sectors.  The agriculture sector has become efficient and cost effective due to role of IoT. Monitoring systems has become the crucial part of agriculture. In past few years lot of work is been done and many systems has been purposed in this regard. In this paper we are going to make comparison between 4 different agriculture monitoring systems. We are also going to discuss what type of hardware including different sensors are used in those systems. We are also going to discuss software and platform on which those applications run. We will also discuss processing mechanism and what kind of algorithms are used in these systems and in the last we are going to make a comparative table based on these parameters.


Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5500
Author(s):  
Abdul Rehman ◽  
Muhammad Ahmed Qureshi ◽  
Tariq Ali ◽  
Muhammad Irfan ◽  
Saima Abdullah ◽  
...  

Fire monitoring systems have usually been based on a single sensor such as smoke or flame. These single sensor systems have been unable to distinguish between true and false presence of fire, such as a smoke from a cigarette which might cause the fire alarm to go off. Consuming energy all day long and being dependent on one sensor that might end with false alert is not efficient and environmentally friendly. We need a system that is efficient not only in sensing fire accurately, but we also need a solution which is smart. In order to improve upon the results of existing single sensor systems, our system uses a combination of three sensors to increase the efficiency. The result from the sensor is then analyzed by a specified rule-set using an AI-based fuzzy logic algorithm; defined in the purposed research, our system detects the presence of fire. Our system is designed to make smart decisions based on the situation; it provides feature updated alerts and hardware controls such as enabling a mechanism to start ventilation if the fire is causing suffocation, and also providing water support to minimize the damage. The purposed system keeps updating the management about the current severity of the environment by continually sensing any change in the environment during fire. The purposed system proved to provide accurate results in the entire 15 test performed around different intensities of a fire situation. The simulation work for the SMDD is done using MATLAB and the result of the experiments is satisfactory.


Author(s):  
Shubham Srivastava

IoT based water quality parameter monitoring system is a significant interest in the field of cost-effective smart water quality monitoring systems. As we know that the population growth of your country is high in last few decades. In India, the demand for freshwater for drinking purposes, agriculture, and other activities is much higher than compared to other countries. The requirement of a smart water quality parameter monitoring system is necessary to reduce the time required in the traditional approach of water quality monitoring, and for real time monitoring. This literature survey work has been conducted in the field of smart water quality parameter monitoring systems. Sensor-based smart water quality parameter monitoring in past some research carried out which is deployed in the water.


In Industry upset, gas detecting innovation discovers its significance where gas sensors utilized for identifying the dangerous gases. This has been created and changed slowly to improve its sensitivity and selectivity. Convenient and exact checking of combustible and risky gases inside the mines can help averting mishaps. Different wired and remote correspondence with the sensor hubs like Zigbee. Convention have been built up in later part and executed with Internet of Things (IoT) yet with impediments. In this paper the MQ2 gas sensors exhibit utilizing basic technique is proposed for better sensing and alterability the Node MCU (ESP8266) is utilized as a Wireless Fidelity (WiFi) module. The proposed work could build selectivity and better proficiency the undertaking expects to coming about a superior danger the executives framework.We incorporated how node mcu and ardunio are used for the advanced gas monitoring systems.


2021 ◽  
pp. 3884-3896
Author(s):  
Mohammed Hassan Majhool, Haider Th. Salim Alrikabi, Mansour S. Farhan

Internet of Things (IOT) devices and monitoring systems are essential for the accurate, reliable, and proper functioning of photovoltaic (PV) solar energy systems. The data acquisition and monitoring system ensure adequate operation and ascertain system malfunctions before they become significant problems. The IOT integrates ordinary items using modern technology in the physical scope. It is all feasible to utility voltage, current, temperature, and humidity sensors. The current research focuses on developing a cost-effective, accessible, and steadfast data monitoring system. A microcontroller-based data logger is stored in a cloud. The data can be downloaded directly from the website using the IoT technique because photovoltaic (PV) panels are built-in faraway locations and humans cannot reach them. The suggested system demonstrates the online utilization of solar PV power.


Sign in / Sign up

Export Citation Format

Share Document