CN-122016667-A - Soil environment detection method based on gun type detection gun

CN122016667ACN 122016667 ACN122016667 ACN 122016667ACN-122016667-A

Abstract

The invention discloses a soil environment detection method based on a gun type detection gun, which is used for rapid field detection of soil environment, the method integrates a multi-sensor probe array through a pistol configuration device, a user can insert a probe into soil by pulling a trigger once, in the insertion process, the device utilizes a probe insertion dynamics model to adaptively adjust so as to overcome the resistance of different soil consistence, and synchronously collects parameters such as soil humidity, pH value, conductivity, temperature, nitrogen, phosphorus, potassium nutrients and the like, and is characterized in that depth profile reconstruction and intelligent decision are realized through algorithm processing, wherein the measurement data of discrete depth points are reconstructed into a continuous parameter vertical distribution curve; the method disclosed by the invention shortens the detection time from a few hours to about 30 seconds, and greatly improves the efficiency, depth and intelligent level of field detection.

Inventors

LIU LIDONG
LI XIAOQIN
ZHOU LANPING
HE YALING
LUO YONGBIN
WANG ANQI
JIANG LINGYAO

Assignees

广东科技学院

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (10)

1. The soil environment detection method based on the gun type detection gun is characterized by comprising the following steps of: S1, inserting an integrated soil detector with a pistol configuration into soil through single-trigger operation; s2, controlling the probe insertion depth by using a probe insertion dynamics model, and analyzing soil resistance in real time; S3, synchronously driving and decoupling signals of a plurality of embedded sensors, and calculating a series of key parameters such as soil humidity, pH value, conductivity, temperature, nutrient concentration and the like in real time; S4, intelligently reconstructing a continuous vertical distribution profile of parameters from limited discrete depth measurement points by utilizing a radial basis function interpolation and variation principle; s5, integrating the isolated parameters into an intuitive soil quality index and risk level assessment through Bayesian fusion and comprehensive evaluation functions, and generating a complete soil detection report.
2. The method for detecting the soil environment based on the gun type detection gun according to claim 1, wherein the probe insertion dynamics model in S2 comprises an insertion depth control function and a soil resistance characteristic function: Wherein, the insertion depth control function is normalized by the pressure sensor reading The target depth is The actual insertion depth is then controlled by the differential equation: Wherein, the The insertion depth at the moment of time is indicated, Representing the gain factor of the depth control, Representing the coefficient of friction force compensation, Representing the soil resistance function at a certain depth. Soil resistance characteristic function, soil resistance is corrected by bingham fluid model: Wherein, the Indicating the yield stress of the soil, Represents the viscosity coefficient of the soil and, Represents the compaction stress of the surface soil, Representing the resistance decay coefficient.
3. The method for detecting the soil environment based on the gun type detection gun according to claim 1, wherein the step S3 is realized through a multi-parameter detection mathematical model, comprises soil moisture detection, a soil pH electrochemical model, a temperature correction model based on a Nernst equation and a conductivity tensor model, wherein the relationship between dielectric constant and volume water content is adopted by a frequency domain reflection method, and the conductivity tensor model comprises calculation of horizontal conductivity and vertical conductivity.
4. The soil environment detection method based on the gun type detection gun according to claim 1, wherein the detection of the nitrogen, phosphorus and potassium nutrient content is achieved through a spectrum nutrient detection model in the step S3, the method comprises the steps of providing a multi-wavelength absorption model, giving the nutrient concentration C by a multi-element linear model for n detection wavelengths, determining the optimal characteristic wavelength by an optimization problem, and guaranteeing uniform wavelength distribution.
5. The method for detecting the soil environment based on the gun type detection gun according to claim 1, wherein the step S4 is realized through a space variation analysis model, a radial basis function interpolation method is adopted to conduct depth profile interpolation, and vertical gradient analysis of parameters is calculated.
6. The soil environment detection method based on the gun type detection gun according to claim 1, wherein the step S5 is achieved through data fusion and quality evaluation, and comprises the steps that a Bayesian fusion framework is adopted for multi-sensor data fusion, a membership function is defined by a soil quality comprehensive index, weights are determined through a hierarchical analysis method, and SQI comprehensive indexes are calculated.
7. The method for detecting the soil environment based on the gun type detection gun according to claim 1, further comprising an environment compensation step, wherein the environment compensation step comprises a multi-sensor data fusion temperature compensation general method, and a soil texture influence function corrects the parameter vector through a texture influence factor matrix.
8. The soil environment detection method based on the gun type detection gun according to claim 1, further comprising the steps of measurement optimization and self-adaptive sampling, wherein the measurement optimization and self-adaptive sampling comprises an optimal sampling theorem, a new sampling point position is determined based on a Kriging interpolation error of a space variation function, and an optimal sampling depth sequence is determined through an information entropy maximization criterion through self-adaptive depth selection.
9. The method for detecting the soil environment based on the gun type detection gun according to claim 1, further comprising an uncertainty quantification step, wherein the uncertainty quantification step comprises measuring an error propagation formula, and calculating a confidence interval of the parameter by confidence interval estimation.
10. The soil environment detection method based on a gun type detection gun according to any one of claims 1 to 9, wherein the integrated soil detector adopts a pistol configuration design, comprises a multi-sensor coaxial probe array and an intelligent trigger mechanism, and realizes single-point synchronous measurement.

Description

Soil environment detection method based on gun type detection gun Technical Field The invention relates to the technical field of soil environment detection, in particular to a soil environment detection method based on a gun type detection gun. Background In the fields of agricultural production, environmental monitoring, engineering construction and the like, the soil environmental quality is used as a core element for influencing crop growth, ecological balance and engineering safety, and the rapid and accurate field detection demands are increasingly urgent. Although the traditional laboratory analysis method has the advantage of high precision, the traditional laboratory analysis method needs to undergo complex processes such as sampling, transportation, pretreatment, multi-step instrument analysis and the like, and has the remarkable defects of long period (usually days to weeks), high cost (the single detection cost can reach hundreds of yuan) and incapability of responding to on-site decision in real time. For example, in precision agriculture, rapid assessment of time-space variability of soil nutrients is a key to scientific fertilization, and hysteresis of laboratory detection often results in disjointing fertilization schemes from actual demands, resulting in resource waste or crop yield reduction. Although the existing portable soil detection equipment tries to make up for the defects of a laboratory method, three technical bottlenecks generally exist: the multifunctional device has the advantages that most devices can only measure a single parameter (such as only measuring the pH value or the conductivity), cannot synchronously acquire multidimensional information such as soil humidity, temperature, nitrogen, phosphorus, potassium nutrients and the like, and therefore a user needs to carry multiple instruments to repeatedly sample, and the efficiency is low; The profile detection capability is lost, soil parameters are obviously distributed in layers along with the depth (such as surface nutrient enrichment and deep salt accumulation), but the existing equipment can only acquire surface data, the vertical profile cannot be reconstructed through single measurement, and the substance migration rule (such as pollutant infiltration or root system nutrient absorption depth) is difficult to comprehensively evaluate; the environment adaptability is poor, the field soil firmness difference is large (such as sandy soil is soft and clay is compact), the existing equipment lacks an adaptive control mechanism, and measurement interruption or data distortion is often caused by overlarge probe insertion resistance, so that the reliability is insufficient in hard soil. In addition, the prior art relies on empirical models or simple threshold judgment, and intelligent fusion and uncertainty quantification of multi-source data are not realized. For example, soil quality evaluation needs to integrate multiple parameters such as humidity, pH, nutrients and the like, but the traditional method can only output isolated values, lacks analysis of correlation and space variability among parameters, and is difficult to support on-site rapid decision (such as pollution risk classification or fertilization amount recommendation). The contradiction severely restricts the development of accurate agriculture (such as variable fertilization and soil pollution restoration), environmental science (such as ecological restoration monitoring) and engineering construction (such as foundation stability assessment). Therefore, developing a field detection method integrating high efficiency (single operation to complete multi-parameter synchronous measurement), depth detection capability (automatic reconstruction of vertical profile) and intelligent decision support (data fusion and risk assessment) becomes a key problem to be solved in industry. Disclosure of Invention Aiming at the problems, the invention aims to provide a soil environment detection technology, in particular to a soil environment detection method based on a gun type detection gun, which is particularly suitable for rapidly, accurately and comprehensively detecting the soil environment quality in the fields of agricultural production, environment monitoring, engineering construction and the like, and can meet the requirements of soil multidimensional physical, chemical and nutrient information acquisition and vertical profile data acquisition under multiple scenes such as precise agriculture, soil pollution evaluation, land science management and the like. The technical scheme adopted by the invention is as follows: a soil environment detection method based on a gun type detection gun comprises the following steps: S1, inserting an integrated soil detector with a pistol configuration into soil through single-trigger operation; s2, controlling the probe insertion depth by using a probe insertion dynamics model, and analyzing soil resistance in real time; S3, synchro