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An implementation framework for wastewater treatment models requiring a minimum programming expertise

机译:需要最少的编程专业知识的废水处理模型的实施框架

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Mathematical modelling in environmental biotechnology has been a traditionally difficult resourcento access for researchers and students without programming expertise. The great degree ofnflexibility required from model implementation platforms to be suitable for research applicationsnrestricts their use to programming expert users. More user friendly software packages howeverndo not normally incorporate the necessary flexibility for most research applications. This worknpresents a methodology based on Excel and Matlab-Simulink for both flexible and accessiblenimplementation of mathematical models by researchers with and without programming expertise.nThe models are almost fully defined in an Excel file in which the names and values of the statenvariables and parameters are easily created. This information is automatically processed innMatlab to create the model structure and almost immediate model simulation, after only anminimum Matlab code definition, is possible. The framework proposed also providesnprogramming expert researchers with a highly flexible and modifiable platform on which to basenmore complex model implementations. The method takes advantage of structural generalities innmost mathematical models of environmental bioprocesses while enabling the integration ofnadvanced elements (e.g. heuristic functions, correlations). The methodology has already beennsuccessfully used in a number of research studies.
机译:对于没有编程专业知识的研究人员和学生来说,环境生物技术中的数学建模一直是传统上困难的资源。模型实现平台要求高度适用于研究应用程序的灵活性,从而限制了它们对编程专家用户的使用。然而,对于大多数研究应用程序而言,更多的用户友好软件包通常不具备必要的灵活性。这项工作代表了一种基于Excel和Matlab-Simulink的方法,无论有没有编程专业知识的研究人员都可以灵活,可访问地实现数学模型。n几乎在Excel文件中完全定义了模型,其中状态变量和参数的名称和值很容易创建。在只有最少的Matlab代码定义之后,inMatlab会自动处理此信息以创建模型结构,并几乎立即进行模型仿真。提出的框架还为编程专家研究人员提供了一个高度灵活和可修改的平台,并以此为基础来构建更复杂的模型。该方法在环境生物过程的数学模型中利用结构一般性的优势,同时能够集成高级元素(例如,启发式函数,相关性)。该方法已经在许多研究中成功使用。

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