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.

scholarly journals Configurable IoT Open-Source Hardware and Software I-V Curve Tracer for Photovoltaic Generators

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7650
Author(s):  
Isaías González ◽  
José María Portalo ◽  
Antonio José Calderón
Keyword(s):  
Data Acquisition ◽  
Open Source ◽  
Smart Grids ◽  
Operating Conditions ◽  
Raspberry Pi ◽  
Modern Trend ◽  
Curve Tracer ◽  
Open Source Hardware ◽  
Curve Tracing ◽  
Photovoltaic Generators

Photovoltaic (PV) energy is a renewable energy resource which is being widely integrated in intelligent power grids, smart grids, and microgrids. To characterize and monitor the behavior of PV modules, current-voltage (I-V) curves are essential. In this regard, Internet of Things (IoT) technologies provide versatile and powerful tools, constituting a modern trend in the design of sensing and data acquisition systems for I-V curve tracing. This paper presents a novel I-V curve tracer based on IoT open-source hardware and software. Namely, a Raspberry Pi microcomputer composes the hardware level, whilst the applied software comprises mariaDB, Python, and Grafana. All the tasks required for curve tracing are automated: load sweep, data acquisition, data storage, communications, and real-time visualization. Modern and legacy communication protocols are handled for seamless data exchange with a programmable logic controller and a programmable load. The development of the system is expounded, and experimental results are reported to prove the suitability and validity of the proposal. In particular, I-V curve tracing of a monocrystalline PV generator under real operating conditions is successfully conducted.

CSLA.NET Based N-Layer Application Framework of Warehouse Management System

2011 ◽  
Vol 179-180 ◽  
pp. 145-149
Author(s):  
Xin Hong Zhang ◽  
Yan Bin Cui ◽  
Rui Li ◽  
Fan Zhang
Keyword(s):  
Management System ◽  
Application Framework ◽  
Warehouse Management ◽  
The Status ◽  
Warehouse Management System ◽  
Real Time Information ◽  
Use Of Internet ◽  
And Storage ◽  
Time Information ◽  
Corporate Information

Warehouse management system (WMS) direct and optimize stock based on real-time information about the status of utilization. The primary purpose of a WMS is to control the movement and storage of materials within a warehouse. With the widespread use of Internet and the growing complexity on corporate information, distributed architecture has become the first option on building enterprise applications. This paper introduces the CSLA.NET framework, and using .NET platform CSLA.NET distributed under the framework, and designing a set of distributed Warehouse Management System solutions.

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 Low Cost Remote Monitoring of Solar Plant through RS485 Communication

2019 ◽  
Vol 8 (9) ◽  
pp. 3034-3037
Keyword(s):  
Remote Monitoring ◽  
Preventive Maintenance ◽  
Data Transfer ◽  
Low Cost ◽  
Photovoltaic System ◽  
Raspberry Pi ◽  
Solar Plant ◽  
Additional Capacity ◽  
Real Time Information ◽  
Time Information

Solar energy has already grown to be the go-to form of renewable energy in the modern power grid. Monitoring the generation and consumption is imperative in order to properly plan the operation as well as the installation of additional capacity. Low-cost remote monitoring of a standalone solar farm through a Raspberry Pi is proposed in this paper. RS485 is used for data transfer between the inverter and the Raspberry Pi. Remote data monitoring is then achieved by pushing the data into the cloud from the Raspberry Pi. Real-time information is made accessible which will help in preventive maintenance, fault detection and also generate a database to aid in forecasting. This IoT based solution is suitable for solar installations in remote and inaccessible areas where regular access is inconvenient. The total number of units of power generated in a day can be calculated from which an estimate can be made about the number of units generated. From this, the financial savings that can be made by implementing a photovoltaic system for energy generation.

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 Fair and Secure Multi-Party Computation with Cheater Detection

Cryptography ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 19
Author(s):  
Minhye Seo
Keyword(s):  
Smart Grids ◽  
Economic Value ◽  
Computational Cost ◽  
Cryptographic Protocol ◽  
Universal Composability ◽  
Critical Problem ◽  
Cheater Detection ◽  
Final Output ◽  
Real Time Information ◽  
Time Information

Secure multi-party computation (SMC) is a cryptographic protocol that allows participants to compute the desired output without revealing their inputs. A variety of results related to increasing the efficiency of SMC protocol have been reported, and thus, SMC can be used in various applications. With the SMC protocol in smart grids, it becomes possible to obtain information for load balancing and various statistics, without revealing sensitive user information. To prevent malicious users from tampering with input values, SMC requires cheater detection. Several studies have been conducted on SMC with cheater detection, but none of these has been able to guarantee the fairness of the protocol. In such cases, only a malicious user can obtain a correct output prior to detection. This can be a critical problem if the result of the computation is real-time information of considerable economic value. In this paper, we propose a fair and secure multi-party computation protocol, which detects malicious parties participating in the protocol before computing the final output and prevents them from obtaining it. The security of our protocol is proven in the universal composability framework. Furthermore, we develop an enhanced version of the protocol that is more efficient when computing an average after detecting cheaters. We apply the proposed protocols to a smart grid as an application and analyze their efficiency in terms of computational cost.

scholarly journals PrintrLab incubator: A portable and low-cost CO2 incubator based on an open-source 3D printer architecture

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0251812
Author(s):  
Arunkumar Arumugam ◽  
Cole Markham ◽  
Saurabh S. Aykar ◽  
Barbara Van Der Pol ◽  
Paula Dixon ◽  
...  
Keyword(s):  
Open Source ◽  
Low Cost ◽  
Raspberry Pi ◽  
3D Printer ◽  
Software Application ◽  
G Code ◽  
Temperature Levels ◽  
Controller Board ◽  
Open Source Hardware ◽  
Hardware Designs

Growth in open-source hardware designs combined with the decreasing cost of high-quality 3D printers have supported a resurgence of in-house custom lab equipment development. Herein, we describe a low-cost (< $400), open-source CO2 incubator. The system is comprised of a Raspberry Pi computer connected to a 3D printer controller board that has controls for a CO2 sensor, solenoid valve, heater, and thermistors. CO2 is supplied through the sublimation of dry ice stored inside a thermos to create a sustained 5% CO2 supply. The unit is controlled via G-Code commands sent by the Raspberry Pi to the controller board. In addition, we built a custom software application for remote control and used the open-source Grafana dashboard for remote monitoring. Our data show that we can maintain consistent CO2 and temperature levels for over three days without manual interruption. The results from our culture plates and real-time PCR indicate that our incubator performed equally well when compared to a much more expensive commercial CO2 incubator. We have also demonstrated that the antibiotic susceptibility assay can be performed in this low-cost CO2 incubator. Our work also indicates that the system can be connected to incubator chambers of various chamber volumes.

OpenDroneMap360, an affordable DIY open-source hardware and software workflow for 3D point clouds and terrain models

2021 ◽  
Author(s):  
Hessel Winsemius ◽  
Stephen Mather ◽  
Ivan Gayton ◽  
Iddy Chazua
Keyword(s):  
Open Source ◽  
Low Income ◽  
Urban Areas ◽  
Service Providers ◽  
Point Clouds ◽  
Low Income Countries ◽  
Raspberry Pi ◽  
Data Generation ◽  
3D Point Clouds ◽  
Open Source Hardware

&lt;p&gt;The state of the art in terrain data generation is Light Detection And Ranging (LiDAR). LiDAR is usually deployed through manned or unmanned aerial vehicles. As typical payloads are high, an aircraft with LiDAR needs to be significant in size. Therefore, LiDAR is currently only done by specialized companies with expensive equipment, and cannot be deployed by local service providers in low income countries, despite the plethora of use cases for its data.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;A promising avenue to replace LiDAR is photogrammetry. It can be applied with much lighter and more affordable aircrafts and its use to provide extensive terrain datasets is steadily increasing. The scalable open-source software OpenDroneMap allows for extending datasets to very large amounts. Photogrammetry however, cannot penetrate vegetation, and (as is the case with LiDAR) does not resolve ground terrain in obscured areas such as dense urban areas with narrow alleys.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;That is why we are developing OpenDroneMap360, a free and open-source DIY hardware-software camera-ball platform for collection of high quality photos with any carrier you can think of. This can be a self-built drone, a backpack rig or another setup we haven&amp;#8217;t considered yet, equipped with enough lenses to discover any ground that you can think of. Our current hardware offers a backpack rig with a total of 7 lenses and contains a parts list, 3D-printable hull, connection scheme, software deployment and a Sphinx manual how to build, deploy and operate the rig. The technology contains raspberry pi cameras connected to raspberry pi zeros for each lens, a Ardusimple u-blox ZED-F9P GNSS chipset, a raspberry pi4 to instruct the cameras, collect GPS positions, and perform file and data management, and a LiPo battery solution. The entire setup is available on https://github.com/localdevices/odm360&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;

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