基于双波段传感器的土壤水分优化控制问题

G. R. Babaeva
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引用次数: 0

摘要

土壤含水量在空间上是异质性的,这取决于气候因素、土地利用、地形和土壤本身的性质。目前,射频土壤湿度计是最常见的。该装置的技术资料表明,其测量误差可达1%。然而,正如已知的实验测量结果所表明的那样,这样的结果只有在针对特定类型的土壤进行校准后才能获得。计算表明,在没有这种校准的情况下,误差可以增加到15%。在这方面,光谱测量土壤水分的方法更有优势。众所周知的研究结果表明,在该方法中,主要干扰因素是土壤中有机物的含量,仅考虑土壤中磷的含量,可以实现6.5%的测量误差。这种情况强调了探索其他方法以提高光谱方法测量土壤水分含量的效率的前景。提出并解决了近红外和SWIR波段接触式双频光学土壤湿度传感器土壤湿度监测网的优化构建问题。结果表明,在恒频测量时,对传感器的两个量程测量结果进行通常的平均,由于子场加湿条件的不一致,导致检测器输入处光信号的动态范围存在差异,从而导致测量结果不准确。当湿度变化动态范围较大的子级需要以与指定动态范围成正比的更高频率进行测量时,表明了选择自适应测量模式的可能性,相当于实现了自适应测量模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ISSUES OF OPTIMAL SOIL MOISTURE CONTROL BASED ON DUAL-BAND SENSORS
The water content in the soil is spatially heterogeneous, which depends on climatic factors, land use, topography and properties of the soil itself. Currently, radio frequency soil moisture meters are the most common. The technical documentation of these devices indicates that the measurement error in them can reach 1 %. However, as the results of known experimental measurements show, such a result is achieved only after calibration with respect to a specific type of soil. Calculations show that in the absence of such calibration, the error can grow up to 15 %. In this regard, spectral methods of measuring soil moisture are more advantageous. The wellknown results of the conducted studies show that in this method the main interfering factor is the content of organic substances in the soil and taking into account only the phosphorus content in the soil makes it possible to achieve a measurement error of 6.5 %. This circumstance emphasizes the prospects of exploring additional ways to increase the efficiency of spectral methods for measuring the moisture content in the soil. The question of the optimal construction of a soil moisture monitoring network based on contact dualband optical soil moisture sensors operating in the NIR and SWIR ranges is formulated and solved. It is shown that the use of the usual averaging of the measurement results obtained on two ranges of the sensor when measuring with a constant frequency can lead to an inaccurate result due to differences in the dynamic ranges of optical signals at the detector inputs caused by the non-identity of the humidification conditions of the sub-field. The possibility of choosing an adaptive measurement mode is shown when sub-stages with a large dynamic range of humidity changes should be measured with a higher frequency, proportional to the specified dynamic range, which is equivalent to the implementation of an adaptive measurement mode.
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