Mathematical Model Development and 3D Printing of Cylindrically Shaped Biofilm Carrier Media from Recycled Plastic Waste for Wastewater Treatment

Nyuysoni, Selamo Basile; Mutua, James; Home, Patrick G.

doi:10.4236/jep.2022.131002

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…It has strong spatial and attribute analysis capabilities and can provide convenient and accurate data management and analysis means for the research of ecological environmental protection planning. erefore, the combination of computer information technology and environmental science has great development potential [4].…”

Section: Introductionmentioning

confidence: 99%

Application of Computer Vision and Sensor Technology in Multivariate Assessment of Ecological Environment Carrying Capacity

Wang

2022

International Transactions on Electrical Energy Systems

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In order to solve the problems of low accuracy and long monitoring time of the existing ecological environment monitoring system, this study puts forward the application method of computer vision and sensor technology in the multivariate evaluation of ecological environment carrying capacity. In this method, the monitor, server, and spatial identifier are designed in the hardware area of the ecological environment monitoring system to maximize the monitoring performance according to the data memory. By analyzing the monitoring principles of RS technology and GIS positioning technology, the devices in the hardware area are reasonably called, and the workflow of the ecological environment monitoring system is summarized, so as to complete the optimization of the ecological environment monitoring system based on RS and GIS technology. The experimental results show that the monitoring accuracy of the ecological environment monitoring system proposed in this study is higher than that of the traditional monitoring system, with an average of 95.4%; the detection time is about 70 s, which is the lowest compared with other systems when the detection quantity is from 0 to 40 and the detection time is from 0 to 80. The designed monitoring system effectively improves the monitoring effect of the ecological environment and promotes the sustainable development of the ecological environment.

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Section: Introductionmentioning

confidence: 99%

Application of Computer Vision and Sensor Technology in Multivariate Assessment of Ecological Environment Carrying Capacity

Wang

2022

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

show abstract

Mathematical Model Development and 3D Printing of Cylindrically Shaped Biofilm Carrier Media from Recycled Plastic Waste for Wastewater Treatment

Cited by 1 publication

References 18 publications

Application of Computer Vision and Sensor Technology in Multivariate Assessment of Ecological Environment Carrying Capacity

Application of Computer Vision and Sensor Technology in Multivariate Assessment of Ecological Environment Carrying Capacity

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