【摘要】 土的含水率测定对于农业生产、地质灾害、工程建设和遗址保护等领域有着非常重要的意义,随着物联网技术的应用和传感器技术的发展,研发适应人工智能的含水率测定技术需求急迫。文中整理比对了各国含水率测定规范方法,并对现有测定方法的优缺点和适应性进行总结分析。提出应进一步加强土壤水分间接测试理论的定量研究,完善数学模型;测定仪器逐步向小型化、低功耗、无损型转变;测定方法应与现代信息技术紧密结合,加强含水率数据的采集和应用于反馈、控制的人工智能管理研究。更多还原

【Abstract】 The determination of the soil moisture content is very important for agricultural production,geological disasters,engineering construction,sites conservation and many other fields. With the application of the Internet of things and the development of the sensor technology,it’s especially urgent to use the artificial intelligence technology developing the moisture content measurement methods. Comparing national standards for the determination of soil moisture content,summarizing both the advantages and disadvantages of different methods and finally putting forward the future testing requirements: the soil moisture quantitative research in the theory of indirect tests should be further strengthened,the mathematical model should be improved; miniaturization,low-power consumption and non-damage are the future requirements of the measuring instruments;measurement methods should be tightly integrated with the modern information technology,which is helpful for strengthening the moisture content data collection that is beneficial to promote the management of the artificial intelligence in the research concerning feedback and control.更多还原