Real-time remote monitoring and automated control of granary environmental factors using wireless sensor network

Onibonoje, Moses Oluwafemi; Olowu, Temitayo O.

doi:10.1109/icpcsi.2017.8391925

Cited by 17 publications

(9 citation statements)

References 5 publications

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“…The five salts selected for the evaluation process were NaCl, KCl, NaNO 3 , K 2 CO 3 , and K 2 SO 4 . This work replicated and improved on the method in Onibonoje and Olowu (2017). The RH data collected from the SN at the different temperatures as showed then recorded and compared with empirical data in Greenspan (1977).…”

Section: Testing and Evaluation Of The Designed Systemmentioning

confidence: 80%

“…The RH data collected from the SN at the different temperatures as showed then recorded and compared with empirical data in Greenspan (). Real‐time data collection: The delivery time of data on the PC and receipt of alert on cell phone were evaluated. The approach also followed the method in Onibonoje and Olowu (). Data from SN 4 were acquired at the sink node and cell phone; and also simultaneously through the serial port of a PC.…”

Section: System Design and Materialsmentioning

confidence: 99%

“…Real-time data collection: The delivery time of data on the PC and receipt of alert on cell phone were evaluated. The approach also followed the method in Onibonoje and Olowu (2017). Data from SN 4 were acquired at the sink node and cell phone; and also simultaneously through the serial port of a PC.…”

Section: Testing and Evaluation Of The Designed Systemmentioning

confidence: 99%

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A wireless sensor network system for monitoring environmental factors affecting bulk grains storability

Onibonoje

Nwulu

Bokoro

2019

J Food Process Engineering

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Many nations and their people rely on agriculture for gross domestic product and food security. Globally, 2.4 billion tons of grains are produced per annum. Efficient monitoring and control of the environmental factors affecting quality of granaries is therefore important to both farmers and governments. This study designs and develops a distributed low‐power, low‐cost but effective wireless monitoring system for storing bulk grains. Furthermore, a mini storage facility for grains is also designed and constructed according to standard considerations for a pilot test. The study deployed the developed wireless monitoring system with efficient coverage in the constructed mini bin and monitored the environmental factors affecting the quality of the stored grains over a time period. The entire system was then evaluated. From the obtained results, the developed system achieved optimal trade‐offs among coverage efficiency, reduced power consumption, reduced cost, real‐time monitoring, and longer node life. The system is appropriate for small and medium scale farmers and marketers. Practical applications The major application of the developed system resides in modular storage facilities for small scale farmers and middle level marketers of grains. The shortage or inaccessibility of small scale farmers and marketers of grains to resourceful storage bins has been eliminated. Furthermore, the system can possibly be deployed in existing large volume granary storage systems provided by governments in cities and major towns, for effective monitoring purpose. In most developing countries, many of the storage units provided by the governments for bulk grains are poorly managed. The relevance of this study is justified in its contribution to the provision of information on the selection of comparatively resourceful components for wireless monitoring systems. The network system analyses various components, topologies, and technologies based on specific criteria in order to identify the ones with comparative advantages. In summary, the developed wireless sensor network system helps to ensure food security and good economic returns of quality grains through well‐monitored, controlled, and affordable storage facilities.

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Section: Testing and Evaluation Of The Designed Systemmentioning

confidence: 80%

Section: System Design and Materialsmentioning

confidence: 99%

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A wireless sensor network system for monitoring environmental factors affecting bulk grains storability

Onibonoje

Nwulu

Bokoro

2019

J Food Process Engineering

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“…In the first scenario, a unit is rendered unable to function due to a natural disaster or a war. The supply of imported energy is stifled in the second scenario (Aluko, Onibonoje, and Dada, 2020;Onibonoje, 2019;Onibonoje and Olowu, 2017). It is reasonable to assume that a unit's failure primarily affects each consumption node that the unit serves.…”

Section: Reliability Of Distributed Energy Resource Systemmentioning

confidence: 99%

Control Design and Management of a Distributed Energy Resources System

Onibonoje¹,

Alegbeleye²,

Ojo³

2023

IJTech

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Energy generation, distribution, and transmission are crucial to the development and advancement of humans and their environment. Therefore, the need for a sustainable environment is essential. This study focuses on designing, building, testing, and commissioning an intelligent grid solar-powered distributed energy resource system to serve as an alternative to powering loads with conventional energy sources, creating a pollution-free and self-dependent system that can be built to the capacity of the required load. The solar panels, voltage regulator, microprocessor, solar charge controller, and batteries are all interconnected to automatically switch between the three solar substations. The simulation of the DER network system was executed with MATLAB, Simulink, and Simscape Electrical. The management system was created using the Visual Studio 2019 and ASP.NET MVC software. The management system was designed to keep tabs on the daily sales of the DER components to various clients. The results are achieved by subjecting a load (21W rated headlight bulb and a 5W rated fluorescent bulb) at specified time intervals (10, 20, 30 minutes). The results showed us a particular set threshold voltage for the sub-station switch. This project gives an insight into how good and reliable the distributed energy resource system can be as it provides a constant power supply to the equipment.

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“…Moreover, it is employed with information communication technology among its entities for electricity supply to the consumers with reinforced control and efficiency [1,2,3,4]. Advanced metering infrastructure (AMI) is an critical building block of smart grid as it builds communication bridge between metering data management service (MDMS) and consumer meters for consumption data transfer utilizing wireless networks [5,6,7,8,9]. The prominent communication standards for AMI are Zigbee, and WiFi, that use public frequency bands e.g.…”

Section: Introductionmentioning

confidence: 99%

A Spectrum Sharing based Metering Infrastructure for Smart Grid Utilizing LTE and WiFi

Parvez¹,

Sarwat²

2019

Adv. sci. technol. eng. syst. j.

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GHz AMI cognitive radio LTE-U CBRS spectrum sharing Internet of Things (IoT) smart meter licensed assisted access (LAA) WiFiIn advanced metering infrastructure (AMI) of smart grid, WiFi is an appropriate choice for its bidirectional communication requirement to transmit data to the billing center. But, WiFi functions in the free spectrum bands and LTE also requires to use the same free bands for its network expansion being licensed spectrum is limited and expansive. LTE and WiFi can operate simultaneously in the 3.5 GHz band (also known as citizen broadband radio service (CBRS)), which has large amount of free and clean spectrum. In this paper, we propose a smart grid metering infrastructure based on fixed duty cycled LTE and WiFi, where smart meters and its' data collectors (known as Access Point) use WiFi and LTE, respectively, for transferring data. Under a system level simulation environment, we investigated the LTE-WiFi coexistence performance in CBRS band considering a time division duplexing (TDD)-LTE associated with FTP traffic, and IEEE 802.11n (WiFi). The simulation performance demonstrates a good neighborhood coexistence between WiFi and LTE, which makes it a potential communication solution for the AMI.

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Real-time remote monitoring and automated control of granary environmental factors using wireless sensor network

Cited by 17 publications

References 5 publications

A wireless sensor network system for monitoring environmental factors affecting bulk grains storability

A wireless sensor network system for monitoring environmental factors affecting bulk grains storability

Control Design and Management of a Distributed Energy Resources System

A Spectrum Sharing based Metering Infrastructure for Smart Grid Utilizing LTE and WiFi

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