scholarly journals Analyze and Designing Low-Cost Network Monitoring System Using Icinga and Raspberry Pi

2021 ◽  
Vol 704 (1) ◽  
pp. 012038
Author(s):  
H Maulana ◽  
Al-Khowarizmi
Author(s):  
Hassan Ali Alajmi ◽  
Raid Rashid Ali Alsaidi ◽  
Omar Abdullah Sultan AL-shibli ◽  
Senthil Ramadoss

Managing the energy efficient and conserving it intelligently for appliances is very much important. On the other side, it may be possible events mistake cause while reading on energy meter, monitoring and keeping track of your electricity consumption for verification is a tedious task today. Our main objective of measuring the power consumption at homes using IOT with raspberry pi during period time, which can be controlled as well monitored through the raspberry pi across the IOT. We used Python programming language to control raspberry pi. It's based on raspbian which is operating system for all models of the raspberry Pi that subject to linux system. As we say before raspberry pi has inputs and we use it for connecting the supply, energy meter and load such as a lamp or Drill. The energy meter is connected to the raspberry pi. This allows user to easily check the energy usage along with the cost charged online using a simple web application connecting to Wi-Fi. Thus, the energy meter monitoring system allows consumer to effectively monitor electricity meter readings and bill amount in an easy way. It presents a low cost and flexible energy meter monitoring system using IOT. In addition, we use camera which is called camera pi. Camera pi takes picture from meter reading and communicates to consumer via email. All information on the energy meter screen will be taken by raspberry pi module. Using this data, the raspberry pi will calculate the bill amount then send to the consumer by email. Finally, this project will help for the proper and accurate reading of the billing process automatically. Also, it enables consumer to save the money for a long time. This technology offers new and exciting opportunity to reduce the work of workers.


F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 248
Author(s):  
Alejandra Duque-Torres ◽  
Carlos Rodriguez-Pabon ◽  
Juan Ruiz-Rosero ◽  
Giselle Zambrano-Gonzalez ◽  
Martha Almanza-Pinzon ◽  
...  

Silk is known as the queen of textiles due to its softness, durability, and luster. This textile is obtained from cocoons spun by larvae known as the silkworm. The combined effect of both temperature and humidity, determines the satisfactory growth of the silkworms and the production of good quality cocoons. For that rea- son, we propose a new prototype for silkworm incubators that monitors environmental conditions, created with Raspberry Pi due to its capabilities, features, and low cost. The prototype monitors the temperature, humidity, and luminosity in a silkworm incubator. The monitoring data are collected and saved on file hosting service, Google Drive, for subsequent analysis. Preliminary tests were gathered using the silkworm incubator of University of Cauca, Colombia.


2020 ◽  
Vol 17 (4) ◽  
pp. 1863-1866
Author(s):  
M. C. Jobin Christ ◽  
A. Lakshmi Narayanan ◽  
S. Jothiraj

This paper explains an IoT controlled remote monitoring system. For the implementation of this system, Raspberry Pi is used. Raspberry Pi is a credit card sized single board computer, which has ARM11 microprocessor. A system is developed to continuously monitor the Electrocardiogram (ECG) and other vital parameters. The measured data is stored in a database and it can be displayed in a website that can be accessed only by authorized personnel like physicians, caretakers, etc. The primary objective of this setup is to update the data to the database and alert the physicians for any aberrancy. MySQLdb module is used to link Raspberry pi to the database. Alert message is sent by the combination of Raspberry Pi and GSM module. This system has more future scope as the data gathered by monitoring is very much important and can be used for scientific research by the medical community. By determining the patterns in the parameters observed, the nature of arrhythmias can be predicted. The paper mainly focuses on the system design and the algorithm used to accomplish the task.


2017 ◽  
Vol 143 ◽  
pp. 179-185 ◽  
Author(s):  
Venkat Subramanian Arumuga Perumal ◽  
Krishnamoorthy Baskaran ◽  
Suleman Khalid Rai

2021 ◽  
Vol 19 ◽  
pp. 262-267
Author(s):  
Antonios , Andreatos ◽  
Nikolaos Chatzipantou

The objective of this paper is to present an advanceduse of Nagios on Raspberry Pi to monitor a network. RaspberryPi is a tiny, low-cost yet powerful computer board with manyapplications. Network monitoring systems constantly monitor acomputer network for malfunctions and failures of servers andnotifies the network administrator in case of trouble. In ourcase, the free version of Nagios installed on a Raspberry Pi hasbeen used to monitor a network at minimal cost. Furthermore,two bash scripts automating the complex process of Nagiosinstallation on Raspberry Pi, as well as Linux host have beendeveloped. In order to elevate the security level of Networkmonitoring we have proposed a triple set of Raspberry Pi Nagiosservers, each one monitoring hosts and servers including theother two Nagios servers (triple modular redundancy). Finally,custom scripts providing useful information about monitoredhosts, such as their operating system, hardware and networking,as well as a special script examining and rating the security levelof Apache web servers, have been developed and incorporatedinto the network monitoring process.


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