scholarly journals An Effective IoT based Fuel and Cost Monitoring System

2019 ◽  
Vol 8 (3) ◽  
pp. 4080-4083
Keyword(s):  
Fuel Consumption ◽  
Monitoring System ◽  
Fuel Price ◽  
Level Sensor ◽  
Fuel Level ◽  
The Cost ◽  
Real Time Information ◽  
To Receive ◽  
Time Information ◽  
Day By Day

As vehicles count increases day by day, the fuel consumption is also increasing. With this tremendous increase in fuel consumption, fuel price is also increasing rapidly. By taking this as an advantage, fuel bunkers are stealing fuel and this cannot be noticed by users because we have no control over the machine. A monitoring system is required to track the fuel level. So, we are proposing a system that helps to indicate the quantity of fuel for the amount we have paid. A petrol level sensor that receives real time information about tank’s fuel level is used which is directly connected to the Arduino mega. A webpage is created to get the petrol cost. The page provides the user with an Admin username and password. The petrol cost is updated only through that webpage. Once the petrol cost is updated, then the IOT module used to receive the petrol cost and transmit it to the Arduino mega. For enabling the cost displaying feature, we have to provide a signal to the controller indicating the need for displaying the petrol cost that is to be added. Now once the switch is in pressed state, the 2.4 TFT display is used to display the petrol cost and when the key is denounced, the cost is reset to zero.

scholarly journals COMPARATIVE ANALYSIS OF METHODS FOR MONITORING FUEL CONSUMPTION

2020 ◽  
Vol 35 (1) ◽  
pp. 126-134
Author(s):  
F.R. Safin ◽  
◽  
R.R. Yulberdin ◽  
Keyword(s):  
Fuel Consumption ◽  
Large Error ◽  
Polymer Materials ◽  
Satellite Monitoring ◽  
Return Flow ◽  
Flow Meters ◽  
Level Sensor ◽  
Fuel Level ◽  
The Cost ◽  
Consumption Control

Consumed fuel by mobile technology determines the cost of agricultural products. In this regard, special attention is paid to fuel consumption control. Currently, satellite monitoring systems are being widely introduced, due to which several methods of controlling fuel consumption can be implemented. The most common way to determine fuel consumption is to use a standard fuel level sensor. This method has a large error of determination associated with the design features of the sensor itself. The next method is to connect the equipment of the monitoring system to the CAN bus of the equipment. The disadvantage of this method is the determination error associated with the use of a standard sensor. Along with the standard flow sensor, an additional (analog, frequency or digital) installation is possible. Digital fuel level sensors are very common. The disadvantage of using these sensors is that the fuel level fluctuates during the movement of equipment and reduces the accuracy of the readings. It should be noted that at present, in the manufacture of fuel tanks, polymer materials subjected to deformations have begun to be widely used, due to which the error in determining fuel consumption reaches 20%. Along with the fuel level sensor, appropriate flow meters can be used. The disadvantages of their use include the need to make changes to the fuel system and take into account the return flow of fuel. Another way to control fuel consumption is to determine it by standards. It takes into account the flow rate when performing various works and at stops when the engine is running. Among the shortcomings, it is possible to distinguish the impossibility of determining the actual fuel consumption, time and place of discharge, affecting the accuracy of determining this consumption.

scholarly journals Monitoring System for Tracking a PV Generator in an Experimental Smart Microgrid: An Open-Source Solution

2021 ◽  
Vol 13 (15) ◽  
pp. 8182
Author(s):  
José María Portalo ◽  
Isaías González ◽  
Antonio José Calderón
Keyword(s):  
Open Source ◽  
Monitoring System ◽  
Smart Grids ◽  
Raspberry Pi ◽  
Operator Interface ◽  
Open Source Hardware ◽  
Real Time Information ◽  
And Storage ◽  
Time Information ◽  
Pv Generator

Smart grids and smart microgrids (SMGs) require proper monitoring for their operation. To this end, measuring, data acquisition, and storage, as well as remote online visualization of real-time information, must be performed using suitable equipment. An experimental SMG is being deployed that combines photovoltaics and the energy carrier hydrogen through the interconnection of photovoltaic panels, electrolyser, fuel cell, and load around a voltage bus powered by a lithium battery. This paper presents a monitoring system based on open-source hardware and software for tracking the temperature of the photovoltaic generator in such an SMG. In fact, the increases in temperature in PV modules lead to a decrease in their efficiency, so this parameter needs to be measured in order to monitor and evaluate the operation. Specifically, the developed monitoring system consists of a network of digital temperature sensors connected to an Arduino microcontroller, which feeds the acquired data to a Raspberry Pi microcomputer. The latter is accessed by a cloud-enabled user/operator interface implemented in Grafana. The monitoring system is expounded and experimental results are reported to validate the proposal.

An Automated Energy Conservation Decision Support System for Navy Gas Turbines

2010 ◽  
Author(s):  
Michael J. Roemer ◽  
Carl A. Palmer ◽  
Sudarshan P. Bharadwaj ◽  
Chris Savage
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Energy Conservation ◽  
Real Time ◽  
Fuel Consumption ◽  
Support System ◽  
Gas Turbines ◽  
Fuel Management ◽  
Real Time Information ◽  
Time Information

Energy conservation measures currently employed by U.S. Navy surface combatants require labor-intensive, time-consuming data entry from which fuel curves are generated to drive each ship’s propulsion plant machinery alignment. From these rudimentary curves optimal transit speeds, configurations, and refueling requirements are determined for specific operational demands and mission profiles. This paper describes an automated process for optimizing shipboard fuel consumption rates by integrating advanced diagnostic and maintenance optimization techniques with the onboard data information system. The automated energy conservation decision support system described herein addresses fossil fuel propulsion (gas turbines, steam turbines, and diesel engines), power generation and auxiliary systems. The software tool consists of diagnostic, fuel management, and maintenance modules. The diagnostic module tracks and trends the health state of components that use fuel (and their supporting systems) to provide real-time information on the impact of their current condition on fuel consumption. The fuel management module automates data collection and the generation of fuel curves through open-systems architecture communication with ICAS. It also enables planning by recommending an optimal machinery configuration to minimize fuel consumption based on either speed or time to destination constraints. Additionally, a fuel management module provides real-time information on fuel consumption and optimizes the load of each component based on its health condition, operating requirements and the number and condition of similar components. Finally, overall decision support comes from the maintenance management module that tracks the maintenance actions being performed on fuel consuming systems and recommends future maintenance to be performed (from a fuel conservation standpoint) based on current health information.

scholarly journals Smart and Inexpensive Implementation of GARBAGE DISPOSAL SYSTEM for Smart Cities

2019 ◽  
Vol 8 (3) ◽  
pp. 3220-3224
Keyword(s):  
Developing Countries ◽  
Smart Cities ◽  
Management Systems ◽  
Garbage Disposal ◽  
Waste Production ◽  
Efficient Route ◽  
The Cost ◽  
Real Time Information ◽  
Time Information ◽  
The Internet Of Things

With the growth in urbanization and consumption of resources the problem of trash and waste production has also gone up. This is becoming a cause of concern and especially in developing countries where there are no or very less efficient waste management systems in place. Due to the problem of littering and inefficient garbage disposal systems overflow of garbage is common which leads to air and land pollution. The systems currently in-place in developing countries are not efficient and garbage collection trucks have no way to get the real-time information of garbage cans and because of the wide span of a city many garbage cans remain empty and others don't get collected thus it leads to overflow. The goal of this project is to solve the problem of overflowing of garbage, littering, and inefficient garbage disposal systems with the help of device created using the Internet of Things (IoT) to provide efficient routes and trash separation, thus reducing the cost and increasing time efficiency. The device will also help in separating the metallic and non-metallic waste into separate bins, further considering the most filled garbage bins and providing an efficient route with their locations

Remote Wireless Monitoring System for Wind Turbine

2013 ◽  
Vol 385-386 ◽  
pp. 614-617
Author(s):  
Lan Xin Hu ◽  
Hai Bo Feng ◽  
Hai Meng Yin
Keyword(s):  
Wind Turbine ◽  
Real Time ◽  
Monitoring System ◽  
Wind Turbines ◽  
The Real ◽  
Wireless Monitoring ◽  
Real Time Information ◽  
Time Information

This paper probes into the design of the remote wireless monitoring system for wind turbine, based on STC89C54RD+ microprocessor. TC35 produced by Siemens is used to send and receive information. Through this we can obtain the Real-time information of the temperature and vibration of the wind turbines.

scholarly journals Residential Consumer Understanding of Electricity Bills

2021 ◽  
Vol 12 (3) ◽  
pp. 1-16
Author(s):  
Gauri Joshi ◽  
Vasundhara Sen
Keyword(s):  
Energy Conservation ◽  
Real Time ◽  
Neoclassical Model ◽  
Energy Usage ◽  
Normative Comparison ◽  
Real Time Information ◽  
To Receive ◽  
Time Information

The neoclassical model of economics assumes that greater the information available, the easier it is for a consumer to make decisions. In the context of electricity usage, overwhelming amounts of information presented on energy bills and a lack of real-time information deter consumers from understanding their own energy usage and developing personalized strategies to reduce it. This study assesses the literacy levels regarding electricity bills amongst consumers in India. Regression results indicate that homes with stronger beliefs in energy conservation minimize their usage. The size of the dwelling,demographics, and the ownership of the dwelling influence literacy levels regarding electricity bills. The study had a counterintuitive finding, as the respondents were found reluctant to receive a normative comparison of their electricity bills—strange for a collectivistic cultured society like India. The study recommends making electricity bills more visually appealing and increasing their frequency to increase awareness of energy usage.

scholarly journals Route Planning: A

2021 ◽  
pp. 243-257
Author(s):  
Jean Walrand
Keyword(s):  
Route Planning ◽  
Stochastic Dynamic ◽  
Planning Problem ◽  
Travel Times ◽  
Markov Decision Problem ◽  
Markov Decision ◽  
The Cost ◽  
Main Ideas ◽  
Real Time Information ◽  
Time Information

AbstractThis chapter is concerned with making successive decisions in the presence of uncertainty. The decisions affect the cost at each step but also the “state” of the system. We start with a simple example: choosing a route with uncertain travel times. We then examine a more general model: controlling a Markov chain.Section 13.1 presents a model of route section when the travel times are random. Section 13.2 shows one formulation where one plans the trip long in advance. Section 13.3 explains how the problem changes if one is able to adjust the route based on real-time information. That section introduces the main ideas of stochastic dynamic programming. Section 13.4 discusses a generalization of the route planning problem: a Markov decision problem. Section 13.5 solves the problem when the horizon is infinite.

Review on Garbage Monitoring System using Internet of Things

2018 ◽  
Vol 8 (4) ◽  
pp. 48
Author(s):  
Kushal Rajput ◽  
Rizwan Khan
Keyword(s):  
Internet Of Things ◽  
Fuel Consumption ◽  
Monitoring System ◽  
Garbage Collection ◽  
Reduce Fuel Consumption ◽  
Waste Collection ◽  
Main Concept ◽  
Safe Environment ◽  
The Cost ◽  
And Control

Overflowing garbage tends to unwell environment and yield to pollution and diseases. As population increases, the scenario of cleanlyness withrespect to garbage management downgrading densely. The objective of the system is for improvement of waste collection and to reduce fuel consumption. Generally, the main concept of this system is about collection of huge ammount of wastein least amount of time to reduce the cost. This invention provide us a through which we can monitor and control spreading of garbage for a healthy and safe environment. In this paper authors discuss the technologies used for garbage collection with concern of time & cost.

DISTRIBUTED INTELLIGENCE IN MANUFACTURING INFORMATION SYSTEMS

2011 ◽  
Vol 07 (01) ◽  
pp. 71-87
Author(s):  
DAVID W. RUSSELL
Keyword(s):  
Repair Process ◽  
System Level ◽  
Theoretical Research ◽  
Distributed Intelligence ◽  
Front End ◽  
System Data ◽  
The Cost ◽  
Real Time Information ◽  
Time Information

This paper describes an information system that was architected to enable front end distributed intelligence in a real manufacturing environment. By distributing intelligence to the most robust components of the system, data can be preserved at the cost of very real-time information. In order for the system as a whole to function this way, each software component was fitted with watchdog agent and granted system level access to the operating system so that it could detect and repair itself and other tasks in the event of a failure. During the repair process, the appropriate data collection processes were granted a level of autonomy that preserved data integrity. The paper is quite practical and designed as a case study rather than a theoretical research paper, although the techniques and principles applied are the result of much study.

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