建筑行业的基于机器学习的自动废物分类:比较竞争力的案例研究
Zeinab Farshadfar1, Siavash H Khajavi1, Tomasz Mucha1
1Department of Industrial Engineering and Management, School of Science, Aalto University, Maarintie 8, 02150, Espoo, Finland.
Waste management (New York, N.Y.)
|January 9, 2025
概括
基于ML的自动分类 (MLAS) 与传统分类 (CS) 相比,大大提高了建筑材料回收效率和可持续性. MLAS提供了卓越的成本效益和准确性,彻底改变了废物管理.
科学领域:
- 建筑垃圾管理 建筑垃圾管理
- 回收技术的回收技术
- 人工智能在可持续发展中的作用
背景情况:
- 传统的建筑材料回收在效率和成本效益方面面临挑战.
- 对先进的分类技术的需求对于改善建筑行业的循环性至关重要.
研究的目的:
- 对基于ML的自动分类 (MLAS) 与建筑材料的传统分类 (CS) 的循环性和成本效益进行比较分析.
- 评估两种回收过程的运营,经济和环境影响.
- 展示人工智能在提高废物管理实践方面的潜力.
主要方法:
- 从两个芬兰公司收集经验数据.
- 基于运营特点,经济影响和环境影响对MLAS和CS进行比较分析.
- 两种分类技术的七年成本建模.
主要成果:
- 在7年内,MLAS的累计成本为1276万欧元,而CS的累计成本为2147万欧元.
- MLAS显示出优越的分类准确度和材料回收率.
- 该研究强调了MLAS的显著长期成本效益和可持续性益处.
结论:
- 基于机器学习的自动分类为建筑材料回收提供了更具成本效益和效率的解决方案.
- 先进的AI技术有可能彻底改变废物管理,提高循环和可持续性.
- 利益相关者应该考虑整合MLAS等创新技术,以实现增强的回收目标.
相关概念视频
01:29Aggregates Classification
301
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
301
01:24Design Example: Aggregate Gradation
90
The right type and quality of aggregates are crucial for concrete as they significantly influence its properties, mix proportions, and cost-effectiveness. If different sources are available for sand, the commonly used fine aggregate in concrete, the selection of sand is primarily based on its gradation.
The grading, or particle-size distribution, of sand is determined using sieve analysis, with standard sizes ranging from 150 μm to 10 mm (ASTM No. 100 sieve to 3⁄8 in. sieve). Sand is...
The grading, or particle-size distribution, of sand is determined using sieve analysis, with standard sizes ranging from 150 μm to 10 mm (ASTM No. 100 sieve to 3⁄8 in. sieve). Sand is...
90
01:26Design Example: Sustainability in Concrete Building
155
As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
155
01:19Sieve Analysis and Grading Curves
302
Sieve analysis is a method used to determine the particle size distribution of aggregate materials. This process involves the following steps:
302