人工智能技术在水污染治理领域的研究进展

Research progress of artificial intelligence technology in the field of water pollution control

  • 摘要: 人工智能技术具有自学习、自适应和自组织的独特性能,目前已被广泛地应用于水环境污染、大气污染、固废处理、气候变化等环境领域,是环境监控和治理的良好助力手段。在水资源严重短缺的今天,水污染防治至关重要。传统的水污染治理与监管技术存在水污染监测滞后、污水优化控制成本较高、污染物去除效率预测精度较低等问题,人工智能的引入能够有效克服上述问题。因此,开发人工智能在水污染治理领域的应用具有重大意义。论述了人工智能技术的特点和分类,综述了其在水污染治理领域的研究现状和应用进展,以期为全面加强水污染治理提供科学参考。

     

    Abstract: Artificial intelligence (AI) technologies have great potential in the field of environmental engineering because of the unique performance of self-learning, self-adaptation and self-organization. At present, they have been widely used in the environmental fields such as water pollution, air pollution, solid waste treatment, climate change, which indicate that AI technologies are good assistants for environmental monitoring and governance. In the current situation of serious water resources shoutage, water pollution prevention and control is of great importance. Traditional water pollution control and supervision technologies have problems such as serious lag effect of water pollution monitoring, high cost of sewage optimization control, and low prediction accuracy of pollutant removal efficiency. The introduction of artificial intelligence technology can effectively overcome the above problems. It is of great significance to develop the application of AI in water pollution control. The characteristics and classification of various AI technologies were discussed, the research status and application progress of AI technologies in the field of water pollution control were summarized, in order to provide scientific reference for comprehensively strengthening water pollution control.

     

/

返回文章
返回