Open Access

ARTICLE

Intelligent Color Reasoning of IOT Based on P-laws

by HuangJing Yu¹, Jinming Qiu¹, Ning Cao^2,*, Russell Higgs²

1 School of Information Engineering, San Ming University, Sanming, 365004, China
2 School of Mathematics and Statistics, University College Dublin, Dublin, Dublin 4, Ireland

* Corresponding Author: Ning Cao. Email:

Computer Systems Science and Engineering 2023, 45(3), 3181-3193. https://doi.org/10.32604/csse.2023.030985

Received 07 April 2022; Accepted 09 June 2022; Issue published 21 December 2022

Abstract

Aiming at the dynamics and uncertainties of natural colors affected by the natural environment, a color P-law generation model based on the natural environment is proposed to develop algorithms and to provide a theoretical basis for plant dynamic color simulation and color sensor data transmission. Based on the HSL (Hue, Saturation, Lightness) color solid, the proposed method uses the function P-set to provide a color P-law generation model and an algorithm of the Dynamic Colors System (DCS), establishing the DCS modeling theory of the natural environment and the color P-reasoning simulation based on the HSL color solid. The experimental results show that based on the color P-law, for the DCS of the natural environment, when the external factors change, the color of the plant changes, accordingly, verifying the effectiveness of the color P-law generation model and the algorithm of the DCS. In the dynamic color intelligent simulation system, when external factors change, the dynamic change of plant color generally conforms to the basic laws of the natural environment. This enables the effective extraction of color data from the Internet of Things (IoT)-based color sensors and provides an effective way to significantly reduce the data transmission bandwidth of the IoT network.

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Keywords

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