Green flexible production and intelligent factory building structure design based on improved ant colony algorithm

IF 5.1 3区 工程技术 Q2 ENERGY & FUELS Thermal Science and Engineering Progress Pub Date : 2024-07-19 DOI:10.1016/j.tsep.2024.102753
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Abstract

Traditional factory production has limitations such as energy waste, emission pollution, etc., and there are also certain unreasonable structural aspects. Therefore, this article proposes a method that can make the factory building structure more green, flexible, and intelligent. It is hoped that by improving the ant colony algorithm and applying it to factory design and production, the goal of reducing energy consumption, maximizing resource utilization, and reducing environmental impact can be achieved. Transforming the design problem of factory building structure into an optimization problem using ant colony algorithm, that is, finding the optimal path and layout. In this process, the ant colony algorithm simulates the behavior of ants by continuously iterating and updating the concentration of pheromones, in order to achieve the global optimal solution. In order to achieve the combination of green design principles and flexible production needs, corresponding constraint conditions and objective functions were introduced, taking into account the flexibility and adjustability within the factory to meet different production needs. Ant colony algorithm can provide the best structural design solution for factory buildings by optimizing search, combining green design principles and flexible production requirements, and promoting the development of green and sustainable factory buildings.

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基于改进蚁群算法的绿色柔性生产和智能工厂建筑结构设计
传统的工厂生产存在能源浪费、排放污染等局限性,在结构上也存在一定的不合理性。因此,本文提出了一种可以使工厂建筑结构更加绿色、灵活、智能的方法。希望通过改进蚁群算法,并将其应用到工厂设计和生产中,实现降低能源消耗、最大化资源利用、减少环境影响的目标。利用蚁群算法将工厂建筑结构设计问题转化为优化问题,即寻找最优路径和布局。在此过程中,蚁群算法模拟蚂蚁的行为,通过不断迭代和更新信息素的浓度,以达到全局最优解。为了实现绿色设计原则与柔性生产需求的结合,考虑到工厂内部的灵活性和可调整性,引入了相应的约束条件和目标函数,以满足不同的生产需求。蚁群算法可以通过优化搜索为工厂建筑提供最佳结构设计方案,将绿色设计原则与柔性生产需求相结合,促进绿色可持续工厂建筑的发展。
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来源期刊
Thermal Science and Engineering Progress
Thermal Science and Engineering Progress Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
7.20
自引率
10.40%
发文量
327
审稿时长
41 days
期刊介绍: Thermal Science and Engineering Progress (TSEP) publishes original, high-quality research articles that span activities ranging from fundamental scientific research and discussion of the more controversial thermodynamic theories, to developments in thermal engineering that are in many instances examples of the way scientists and engineers are addressing the challenges facing a growing population – smart cities and global warming – maximising thermodynamic efficiencies and minimising all heat losses. It is intended that these will be of current relevance and interest to industry, academia and other practitioners. It is evident that many specialised journals in thermal and, to some extent, in fluid disciplines tend to focus on topics that can be classified as fundamental in nature, or are ‘applied’ and near-market. Thermal Science and Engineering Progress will bridge the gap between these two areas, allowing authors to make an easy choice, should they or a journal editor feel that their papers are ‘out of scope’ when considering other journals. The range of topics covered by Thermal Science and Engineering Progress addresses the rapid rate of development being made in thermal transfer processes as they affect traditional fields, and important growth in the topical research areas of aerospace, thermal biological and medical systems, electronics and nano-technologies, renewable energy systems, food production (including agriculture), and the need to minimise man-made thermal impacts on climate change. Review articles on appropriate topics for TSEP are encouraged, although until TSEP is fully established, these will be limited in number. Before submitting such articles, please contact one of the Editors, or a member of the Editorial Advisory Board with an outline of your proposal and your expertise in the area of your review.
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