IoT and Intelligent Wireless Sensor Network for Remote Monitoring Systems of Solar Power Stations

Siddikov, Ilkhom; Khujamatov, Khalimjon; Khasanov, Doston; Reypnazarov, Ernazar

doi:10.1007/978-3-030-68004-6_24

Cited by 18 publications

(3 citation statements)

References 20 publications

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“…Regular monitoring, maintenance, and upgrades are crucial for the long-term sustainability and e ciency of solar photovoltaic (PV) systems [14]. Advanced monitoring technologies, such as IoT and Intelligent Wireless Sensor Networks, are utilized in large solar panel plants for performance evaluation [15].…”

Section: Data Driven Model (Ddm) For Solar Panel Systemsmentioning

confidence: 99%

Data-Driven Model for Solar Panel System Performance Decision Making: Longitudinal Assessment of Dust Accumulation and Panel Efficiency Degradation

Hunaiti,

Banibaqash,

Abbod

et al. 2024

Preprint

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The deployment of solar panels plays a vital role in generating clean energy and fulfilling countries' targets for carbon reduction. However, to sustain the energy output of solar panels, regular monitoring and maintenance are crucial. This is particularly significant in countries potentially adverse environments, such as Qatar, where dust poses a significant challenge to solar panel performance, leading to energy degradation. In response to this challenge, this paper proposes a data-driven model that facilitates cost-effective monitoring of homes solar panels and enables decision-makers to make informed decisions by leveraging Generated to Consumed Electrical Energy Ratio data. The model aims to address the impact of dust accumulation on solar panels and support the efficient management of solar panel system,

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Section: Data Driven Model (Ddm) For Solar Panel Systemsmentioning

confidence: 99%

Data-Driven Model for Solar Panel System Performance Decision Making: Longitudinal Assessment of Dust Accumulation and Panel Efficiency Degradation

Hunaiti,

Banibaqash,

Abbod

et al. 2024

Preprint

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“…Due to the higher output power, this module improves the property of the signal used to transmit voice or data to users of mobile telephones. This factor directly influences how much useful information a signal can carry or how many connections established by subscribers can be served by a base station [40]. The module's full name is "Flexi RF Module Triple 90 W".…”

Section: B the Choice Of Lte Network Base Station Equipmentmentioning

confidence: 99%

Designing and Calculating Bandwidth of the LTE Network for Rural Areas

Tanwar¹,

Khujamatov²,

Turumbetov³

et al. 2022

International Journal on Advanced Science, Engineering and Information Technology

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The standard of broadband mobile communication LTE can be used to build a mobile communication network in remote populations and provide the population with modern mobile communication services, such as video calls, data transmission, high-speed mobile Internet, Internet TV, etc. In this work, a LTE network has been designed, and the network capacity has been calculated for a certain area. Muynak of the Republic of Karakalpakstan, located in the northwest of the Republic of Uzbekistan, was taken as the territory. The paper presents the characteristics of the selected equipment required for the construction of the mobile network, calculations of network bandwidth, number of potential and active network subscribers, the number of base stations, the average bandwidth of the projected network, the average traffic per subscriber in the busy hour, the radio frequency plan, the geographical location of the base stations, and the LTE network design scheme has been developed. In addition, the characteristics of the number of potential subscribers are described in tabular form, as well as graphs of the number of base stations, the average bandwidth of the designed network, the total traffic of the designed network depending on the number of potential subscribers. The LTE network frequency plan has been developed for the city of Muynak. The designed network will increase the number of subscribers to 12,000 without reducing bandwidth.

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“…The use of sensors in agricultural activities is an important step towards creating an intelligent farm. Spaced over tens of square kilometers, they can continuously transmit information about the state of monitored objects, in particular, the value of parameters such as humidity, temperature, plant health, fuel supply, etc., via radio channels [16].…”

Section: Sensors and Sensorsmentioning

confidence: 99%

IoT AIDED MONITORING SYSTEM FOR AGRICULTURAL 4.0

Khujamatov,

Toshtemirov

2022

JSID

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Agriculture is becoming one of the most important sectors of the world economy. Smart technologies help the agro sector to enter confidently the digital era and optimize processes qualitatively. This will ensure efficient use of natural resources. The use of the IoT (Internet of Things) system will increase agricultural productivity, improve quality, increase crop yields, as well as it will ensure food security. The use of sensors in agriculture is an important step in creating an intellectual farm. They provide a realtime data on condition of objects in tens of square kilometres, particularly, the parameters of humidity, temperature, vegetation, and light intensity. This paper discusses four different ways of a remote cultivation process of plants (flowers) in agriculture. Plants were grown in different pots and in different locations to determine the air temperature, humidity, soil moisture, and light intensity in view to predict the plants’ growth. The Arduino microcontroller was used for the sensor system, plant growth was monitored by means of the sensors and the Arduino.

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IoT and Intelligent Wireless Sensor Network for Remote Monitoring Systems of Solar Power Stations

Cited by 18 publications

References 20 publications

Data-Driven Model for Solar Panel System Performance Decision Making: Longitudinal Assessment of Dust Accumulation and Panel Efficiency Degradation

Data-Driven Model for Solar Panel System Performance Decision Making: Longitudinal Assessment of Dust Accumulation and Panel Efficiency Degradation

Designing and Calculating Bandwidth of the LTE Network for Rural Areas

IoT AIDED MONITORING SYSTEM FOR AGRICULTURAL 4.0

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