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基于计算机技术的资源环境审计性能优化算法研究。

Research on Performance Optimization Algorithm of Resource and Environment Audit Based on Computer Technology.

机构信息

School of Accounting, Harbin University of Commerce, Harbin 150028, Heilongjiang, China.

出版信息

Comput Intell Neurosci. 2022 May 27;2022:4288729. doi: 10.1155/2022/4288729. eCollection 2022.

Abstract

With the rapid development of the economy and society, the sustainable development of resources and environment has been paid more and more attention. As an important part of the national environmental supervision system, resources and environmental audits have attracted great attention from the society. In order to explore the application effect of intelligent networking technology in resource and environment audit, this study carries out monitoring sampling, information collection, and later data processing optimization in resource and environment audit projects through the reference of artificial intelligence technology and method and combined with Internet of things big data analysis, which brings new Turks to the development of natural resource and environment audit and helps to improve the efficiency of audit work. Through the application of new technology in the sampling process of environmental information, the staff use new technology to collect, analyze, and mine data and explore how the new technology can promote the efficiency of resource and environmental audit and better promote the construction of ecological civilization.

摘要

随着经济社会的快速发展,资源环境的可持续发展越来越受到重视。作为国家环境监管体系的重要组成部分,资源环境审计受到了社会的广泛关注。为了探索智能联网技术在资源环境审计中的应用效果,本研究通过人工智能技术和方法的参考,并结合物联网大数据分析,在资源环境审计项目中进行了监测采样、信息收集和后期数据处理优化,为自然资源和环境审计的发展带来了新的契机,有助于提高审计工作的效率。通过在环境信息采集过程中应用新技术,工作人员利用新技术采集、分析和挖掘数据,探索新技术如何促进资源环境审计的效率,更好地推动生态文明建设。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/803f/9167076/065fc0653db7/CIN2022-4288729.001.jpg

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