Temperature and humidity monitoring system for storage rooms of industries

Roy, Ananya; Das, Prodipto; Das, Rajib

doi:10.1109/ic3tsn.2017.8284459

Cited by 16 publications

(7 citation statements)

References 4 publications

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“…[5]- [11] IoT Gardening and Agriculture [13]- [15] IoT Health and Well-being [19]- [21] IoT Industrial Scenarios [16], [18], [32] IoT Other applications [22], [24]- [29] Paint Booth [30], [31] IIoT Paint Booth Our solution IIoT Paint Booth…”

Section: Referencementioning

confidence: 99%

“…On the other hand, temperature and relative humidity monitoring is an application of interest in different industrial and non-industrial scenarios, and multiple developments of this application under the umbrella of IoT and IIoT have been done. Some fields of applications are poultry farming [4], gardening, [5], [6], agriculture [7]- [11], food industry [12], health and wellbeing [13]- [15], weather stations [16], Smart Home and appliances [17], [18], and monitoring in industrial scenarios [19]- [21].…”

Section: Introductionmentioning

confidence: 99%

“…As mentioned before, there are different fields benefiting from IoTbased applications, including the industry. Some usages of temperature and humidity monitoring in industry are environment monitoring [19], safety and surveillance [20] or storage [21]. But in the specific case of IoT applied to painting, the company Dürr offers an IIoT-based software solution for robotic painting cells, which provides information from the robotic arms and the painting process [30], [31].…”

Section: Introductionmentioning

confidence: 99%

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IoT-based system for monitoring conditions in an industrial painting booth

Velasco-Hernandez

Mirani

Awasthi

et al. 2022

2022 33rd Irish Signals and Systems Conference (ISSC)

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During the last decades, the Internet of Things (IoT) has evolved significantly and the advances in sensors, networking and processing technologies have enabled the adoption of IoTbased concepts and solutions across different fields. Temperature and humidity monitoring is an application that is found in sectors like the food industry, environmental monitoring, agriculture, manufacturing, among others. In the industry, product painting is not only for the visual aesthetic of products but it is intended for protecting the items against corrosion, damage and for extending their lifetime. In order to get the best painting results, variables like temperature, relative humidity and dew point must be controlled in the environment. In this project, an IoT-based system for monitoring those variables is developed and evaluated, from the sensor level up to the end-user application level. By using Bosch CISS sensors, a Raspberry Pi SBC and the ThingsBoard platform, we developed and tested this solution. After presenting the requirements of the system and the architectural design, we detail on the implementation stage of each component of the solution, and share the results of the testing and evaluation. Finally, we discuss the limitations of the system and the future work envisaged for this project.

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Section: Referencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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IoT-based system for monitoring conditions in an industrial painting booth

Velasco-Hernandez

Mirani

Awasthi

et al. 2022

2022 33rd Irish Signals and Systems Conference (ISSC)

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“…A monitoring system [14] consisting of sensors for gathering data like temperature, humidity and pressure. ESP8266 sensor,a low power, cost effective and thoroughly fused solution from Espressif.…”

Section: Iot Framework For Environment Variablesmentioning

confidence: 99%

Machine Learning Techniques with IoT in Agriculture

More¹

2019

IJATCSE

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Traditionally methods developed for agriculture focused on the specific functionality/ domain-dependent such as temperature, humidity pressure, etc and lacks of knowledge base for smart irrigation. In modern generation, the volume of information gathered by numerous sensors over a period, with a diverse series of applications nowadays, is acknowledged by means of Internet of things. Grounded by the properties of an application, the IoT strategies drive outcome in large volume and instantaneous streams of data. Implementing analytics for a large volume of data stream to find novel information, further predict understandings to produce precise and decisions to control a vigorous method that introduces IoT in a well-meaning model for industrial production besides a eminence of life refining technology. Machine learning (deep learning) eases the analytics and knowledge in the IoT domain, the major perspective is to use machine learning (deep learning) in IoT. Hence, in this paper we discuss a systematic review to determine different methods in agriculture practices.

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“…So, by analyse the images of fruit on-tree farmer predict the quantity with its level of maturity, fix a day for plucking and start the process for export or, storage. In the present day IoT is applied in diverse field (de Macedo et al, 2019; Jones and Graham, 2018; Kaur and Bala, 2019; Min et al, 2014; Prasad, 2020; Shumate et al, 2018; Trab et al, 2017), including fruit industry (Khumkar et al, 2018; Liu et al, 2015; Roy et al, 2017). Image processing as a facilitator, as it can contribute to many areas of the agricultural sector, will increase the degree of adoption of technology-based systems.…”

Section: Introductionmentioning

confidence: 99%

On-tree fruit monitoring system using IoT and image analysis

Behera

Sethy

Sahoo³

et al. 2021

Concurrent Engineering

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On-tree fruit monitoring is an important practice to provide the exact status of the fruits concerning its quality, quantity and degree of maturity in the farm. In large farm, it is difficult to look over the individual tree manually to acquire the knowledge about the fruits. Again, the manual inspection method is time-consuming, labor intensive and erroneous. The image processing and IoT are the advance techniques applied in diverse field individually. In agriculture sector, image processing is applied for diagnosis of crops. With help of sensors, the IoT based system able to monitor the condition of field remotely. This paper suggests a frame work, which is the combination of image processing and IoT for on-tree fruit monitoring. İn addition, the on-tree counting and size estimation in terms of coefficient of correlation (R2) are 0.994 and 0.997 respectively.

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Temperature and humidity monitoring system for storage rooms of industries

Cited by 16 publications

References 4 publications

IoT-based system for monitoring conditions in an industrial painting booth

IoT-based system for monitoring conditions in an industrial painting booth

Machine Learning Techniques with IoT in Agriculture

On-tree fruit monitoring system using IoT and image analysis

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