Development of cloud based light intensity monitoring system using raspberry Pi

Kumar, N. Pradeep; Jatoth, Ravi Kumar

doi:10.1109/iic.2015.7150959

Cited by 21 publications

(7 citation statements)

References 8 publications

(4 reference statements)

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“…To realize the function of light‐intensity detection, the current‐signal generated by the as‐fabricated yellow light NB‐PD is converted into the light‐intensity dependent voltage information, which is recorded in the display screen. [ 5 ] Since the current‐signal is too weak to be collected and processed by STM32F103C8T6 (STM32), a two‐stage transimpedance amplifier circuit is employed during the voltage conversion process. Then, the continuous voltage‐signal is subsequently converted into a digital signal by the internal analog/digital converter (ADC) of STM32, which is finally processed by the micro control unit to output the voltage and light‐intensity on the display, as shown in Figure a.…”

Section: Resultsmentioning

confidence: 99%

“…In order to detect the specific wavelength bands, the complex algorithms are usually needed, which bring inevitable errors. [4,5] Besides, the devices through the integration of broadband photodetector with optical filters have been commonly constructed for monitoring a particular wavelength range, such as an ultraviolet light (UV) index radiometer to estimate the UV exposure, [6] or blue light hazard detection system for monitoring the harmful blue light. [7] However, these filter-assisted methods often complicate the optical design, which in a certain extent hinder the miniaturization of the devices.…”

Section: Introductionmentioning

confidence: 99%

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Self‐Driven Narrow‐Band Photodetector based on FAPbBr_2.5I_0.5 Single Crystal for Yellow Light Intensity Meter Application

Liang

Zhou

et al. 2023

Adv Funct Materials

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Accurate and quantifiable detection of the specific wavelength is vital in different application scenarios. Herein, a novel self‐driven narrowband photodetector (NB‐PD) based on CH(NH2)2PbBr2.5I0.5 crystal film is employed for building a yellow light intensity meter. By taking advantage of the carrier collection narrowing mechanism, a sensitive NB‐PD with peak response at 580 nm and the full‐width at half‐maximum of 23 nm are successfully achieved. The asymmetric contact electrodes of Ag/Pt allow the device to work without bias. The optoelectronic analysis demonstrates that the NB‐PD achieves a maximum responsivity of 59.89 mA W−1, a fast response speed of 202/331 µs, and a high on/off ratio of 636 at zero bias. Then, through introducing the back‐end circuit, a yellow light intensity meter is constructed with the NB‐PD. The absolute error and relative error of the light meter are estimated to be lower than 0.08 mW cm−2 and 4.22%, respectively, indicating the good capability for the yellow light monitoring. Given the simple device geometry and good performance, the achieved yellow light intensity meter can also be extended to other narrowband light detection system.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Self‐Driven Narrow‐Band Photodetector based on FAPbBr_2.5I_0.5 Single Crystal for Yellow Light Intensity Meter Application

Liang

Zhou

et al. 2023

Adv Funct Materials

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“…Recently, researchers in [14][15][16][17] have highlighted various designs of IoT solutions for data monitoring using the IoT architecture.…”

Section: Review Of Previous Iot Scada Research Designsmentioning

confidence: 99%

An Open Source LoRa Based, Low-Cost IoT Platform for Renewable Energy Generation Unit Monitoring and Supervisory Control

Ndukwe¹,

Iqbal²,

Khan³

2021

JEPT

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SCADA provides real-time system monitoring by constant communication and data exchange between various system devices to achieve data visualization and logging. Presently, in industrial systems, commercial SCADA systems are being used for data monitoring and control. These systems can be expensive, and as such can only be afforded by select industries. Even at these costs, the commercial SCADA systems face some challenges, which include interoperability and scalability issues. Research has shown that these problems can be solved by the introduction of low-cost materials and open-source software to achieve data monitoring for all levels of processes. This paper proposes an open source, low-cost Internet of Things (IoT)-based SCADA system that employs the IoT architecture for SCADA functions. The proposed system is an improvement to the existing IoT solutions by eliminating cloud based IoT platforms and introducing a single machine system. This solution increases the robustness of the system while reducing costs. The proposed system prototype consists of voltage and current sensors, Arduino Uno microcontroller and Raspberry Pi. The sensors acquire data from the monitored unit. The Arduino Uno receives the data and processes them for transmission to the Raspberry Pi using the LoRa communication technology. At the Raspberry Pi, the local Chirpstack platform processes the data and displays the measured data using the Grafana dashboard for real-time data monitoring, and the data is stored in an InfluxDB database. For system validation purposes, the prototype is designed, developed, and set up to monitor the panel voltage, current and battery voltage of a solar photovoltaic system. The results obtained from the experimental set-up are compared with the test data from physical digital multimeters. The system presented in this paper is a low-cost, open source, scalable and interoperable system. This, therefore, makes the proposed SCADA system an alternative for commercial SCADA systems, especially for select applications. The system proposed in this paper can be deployed to large industrial systems with appropriate upgrades and customization. The main contribution of this research is the design and development of a SCADA system that performs all the functions of a proprietary SCADA system at a very low-cost with scalable and interoperability features which are the main limitations of the traditional SCADA systems.

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“…Since out robot is a retrieval based open domain chatbot its success lies on the pattern matching algorithm. The algorithm of our system is as follows [24]:…”

Section: Generating Responsesmentioning

confidence: 99%

Embedded System based Bangla Intelligent Social Virtual Robot with Sentiment Analysis

Hossain

Banik

et al. 2018

2018 Joint 7th International Conference on Informatics, Electronics &Amp; Vision (ICIEV) and 2018 2nd International Conference

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Bangla is the mother tongue of millions of people all over the world.Despite of being a very popular language, any social virtual robot that can intelligently communicate in Bangla is a fairytale till now. One of the main reason of this is lack of rich text corpus and previous research on Bangla language. The proposed Bangla Intelligent Social Virtual Robot can communicate in Bangla intelligently and can express its reflective emotion virtually with the help of machine learning algorithms and sentiment analysis.In this paper we discuss the approached system, design methodology and implementation details of first ever Bangla virtual embedded robot followed by the methodology of building a rich Bangla text corpus. The proposed embedded virtual robot turns out better performer when compared with only known Bangla intelligent chatbot named 'Golpo' and the embedded system performance efficiency has been upgraded with the help CPU over-clocking technique v ACKNOWLEDGEMENTWe would like to express our sincere gratitude to The Most Merciful Allah who blessed us with patience, determination, ability and opportunity to complete the research work within time.We would love to thank from the core of our heart to our supervisor Dr. Amitabha Chakrabarty who has accepted us to do thesis under his supervision and has helped us to complete it within time with his valuable guidance and advises. We are fortunate and grateful to be able to work under his supervision.We are grateful to the online based group "Vasha Shainik" who have helped us translating English subtitles and providing all of their work till now in order to build the first ever Bangla text corpus. Without these dedicated, hardworking and patriot soul, the long cherished Bangla Corpus still would have remained a dream. Moreover, we are under obligation of Dr. Ashraful Alam for providing us utmost support and his credit card to that helped us bearing the expenses of this virtual robot.Finally, we are grateful to all of our family members and faculty members of Department of Computer Science and Engineering, BRAC University for believing in our ability and for supporting and encouraging us through thick and thin. vi

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Development of cloud based light intensity monitoring system using raspberry Pi

Cited by 21 publications

References 8 publications

Self‐Driven Narrow‐Band Photodetector based on FAPbBr_2.5I_0.5 Single Crystal for Yellow Light Intensity Meter Application

Self‐Driven Narrow‐Band Photodetector based on FAPbBr_2.5I_0.5 Single Crystal for Yellow Light Intensity Meter Application

An Open Source LoRa Based, Low-Cost IoT Platform for Renewable Energy Generation Unit Monitoring and Supervisory Control

Embedded System based Bangla Intelligent Social Virtual Robot with Sentiment Analysis

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Development of cloud based light intensity monitoring system using raspberry Pi

Cited by 21 publications

References 8 publications

Self‐Driven Narrow‐Band Photodetector based on FAPbBr2.5I0.5 Single Crystal for Yellow Light Intensity Meter Application

Self‐Driven Narrow‐Band Photodetector based on FAPbBr2.5I0.5 Single Crystal for Yellow Light Intensity Meter Application

An Open Source LoRa Based, Low-Cost IoT Platform for Renewable Energy Generation Unit Monitoring and Supervisory Control

Embedded System based Bangla Intelligent Social Virtual Robot with Sentiment Analysis

Contact Info

Product

Resources

About

Self‐Driven Narrow‐Band Photodetector based on FAPbBr_2.5I_0.5 Single Crystal for Yellow Light Intensity Meter Application

Self‐Driven Narrow‐Band Photodetector based on FAPbBr_2.5I_0.5 Single Crystal for Yellow Light Intensity Meter Application