Design and implementation of a hazardous wastes proportioning management system
Along with the rapid development of economy and the constant advance of industrialization, more and more industrial wastes (IW) including large quantity of industrial hazardous wastes (IHW) are being generated, which greatly influence natural environment and public health, especially in developing c...
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Published in | 2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC) pp. 1 - 6 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.03.2018
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Subjects | |
Online Access | Get full text |
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Summary: | Along with the rapid development of economy and the constant advance of industrialization, more and more industrial wastes (IW) including large quantity of industrial hazardous wastes (IHW) are being generated, which greatly influence natural environment and public health, especially in developing countries. Therefore, IHW management has become a critical issue and has drawn great attention globally. Many waste disposal technologies have been applied to stop or weaken the impact of IHW and hundreds of industrial hazardous waste disposal centers (IHWDC) have been built to manage and dispose IHW. However, due to the strict restrictions of elemental components and calorie value in a hazardous waste burning plan, it is too complex and difficult to work out the proper proportions and quantities of IHW for waste burning. Besides, the absence of an effective management system causes that the process can only be operated by manual calculation, which is not only time-consuming but also error prone. Therefore, the requirement for developing an effective information system to manage this process is urgent and important. This paper firstly designed a IHW compatibility software system. Then, a mathematical compatibility model is built and the simplex algorithm is used to obtain the optimal results. Finally, a practical IHW compatibility software system is developed, which has greatly improved the effectiveness and accuracy of IHW proportion tasks. |
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DOI: | 10.1109/ICNSC.2018.8361276 |