A Capacitive Grain Moisture Content Monitoring Device and Method Based on Edge Effect

Abstract

The present invention provides a capacitive grain moisture content monitoring device and method based on the edge effect. A magnetic induction switch is used to monitor whether the rotating blade passes through the grain measurement area. When the grain to be measured is in the grain measurement area, a moisture content detection sensor is used to detect the moisture content of the grain to be measured. The moisture content detection sensor adopts a planar capacitor. Since grains with different moisture contents will cause changes in the capacitance value, the planar capacitor measures the capacitance signal based on the edge effect, obtains the output voltage corresponding to the grain moisture content, and based on the output voltage and the grain measurement temperature, through a trained neural network, obtains the final moisture content of the grain to be measured, effectively improving the detection accuracy of the grain moisture content.

Description

Technical Field

[0001] The present invention belongs to the technical field related to grain moisture monitoring, and particularly relates to a capacitive grain moisture content monitoring device and method based on edge effect. Background Technique

[0002] The statements in this part merely provide background technical information related to the present invention and do not necessarily constitute prior art.

[0003] Grain moisture content is one of the important indicators for grain quality evaluation. The detection of grain moisture content is of great significance for grain purchase, processing, etc. With the continuous development of the intelligent technology of combine harvesters, it is necessary to monitor the grain moisture content in real time and online during the harvesting process. Only when the weight of the harvested grain is converted to the weight of the grain with a fixed moisture content, the detected yield information is more accurate, and the reasons for the loss rate can be analyzed more comprehensively.

[0004] The detection methods of grain moisture content can be divided into two categories: direct method and indirect method. The direct method directly measures the absolute moisture content in the grain through drying method or chemical method, with high detection accuracy, but it is time-consuming and requires operating conditions, and is not suitable for on-line and on-site measurement. The indirect method indirectly determines the grain moisture content by detecting physical quantities related to the moisture content, which can meet the requirements of on-line and on-site measurement, such as resistance method, capacitance method, near-infrared method, microwave method, and neutron method, etc.

[0005] However, there is still a problem of inaccurate measurement in the current monitoring of grain moisture content. Summary of the Invention

[0006] To overcome the deficiencies of the above-mentioned prior art, the present invention provides a capacitive grain moisture content monitoring device and method based on edge effect. Through the settings of a rotating mechanism, a magnetic induction switch, a moisture content detection sensor, etc., when the grain passes through the grain measurement area, the grain is detected based on the edge effect of the planar capacitor, and combined with a neural network, considering the detection temperature, a more accurate grain moisture content value is obtained.

[0007] To achieve the above object, the first aspect of the present invention provides a capacitive grain moisture content monitoring device based on edge effect, including:

[0008] A grain carrying device, including a grain storage area and a grain measurement area;

[0009] A rotating mechanism, including rotating blades, for conveying the grain to be measured in the grain storage area to the grain measurement area;

[0010] A magnetic induction switch, arranged at the corresponding positions at the start and end of the grain measurement area, for feeding back to the controller whether the rotating blades have passed;

[0011] A controller, which is configured to send a measurement instruction and an end measurement instruction to the moisture content detection sensor according to the result of the rotation blade passing detected by the magnetic induction switch;

[0012] A moisture content detection sensor, including a planar capacitor, the planar capacitor is arranged in the grain measurement area, and is used to output a voltage value corresponding to the moisture content of the grain to be measured based on the change of capacitance when the grain to be measured acts according to the edge effect after receiving the measurement instruction of the controller and before receiving the end measurement instruction of the controller;

[0013] A processing unit, which is configured to: based on the voltage value corresponding to the moisture content of the grain to be measured output by the moisture content detection sensor and the detected temperature of the grain to be measured, obtain the final moisture content value of the grain to be measured based on the trained neural network.

[0014] The second aspect of the present invention provides a capacitance-based grain moisture content monitoring method based on edge effect, adopting the above-mentioned capacitance-based grain moisture content monitoring device based on edge effect, including:

[0015] Start the rotating mechanism to convey the grain to be measured in the grain storage area to the grain measurement area;

[0016] Start the magnetic induction switch to monitor whether the rotating blade passes through the start position and the end position of the grain measurement area;

[0017] Start the moisture content detection sensor, and when the grain to be measured is located in the grain measurement area, output a voltage value corresponding to the moisture content of the grain to be measured based on the change of capacitance when the grain to be measured acts according to the edge effect;

[0018] Based on the output voltage value corresponding to the moisture content of the grain to be measured and the detected temperature of the grain to be measured, obtain the final moisture content value of the grain to be measured based on the trained neural network.

[0019] The above one or more technical solutions have the following beneficial effects:

[0020] In the present invention, the magnetic induction switch is used to monitor whether the rotating blade passes through the grain measurement area. When the grain to be measured is located in the grain measurement area, the moisture content detection sensor is used to detect the moisture content of the grain to be measured. The moisture content detection sensor adopts a planar capacitor. Since grains with different moisture contents will cause changes in capacitance values, the planar capacitor measures the capacitance signal based on the edge effect to obtain the output voltage corresponding to the grain moisture content, and based on the output voltage and the grain measurement temperature, through the trained neural network, the final moisture content of the grain to be measured is obtained, effectively improving the detection accuracy of the grain moisture content.

[0021] Advantages of additional aspects of the present invention will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present invention. Description of the Drawings

[0022] The accompanying drawings forming a part of this specification are used to provide a further understanding of the present invention. The schematic embodiments and descriptions thereof of the present invention are used to explain the present invention and do not constitute an improper limitation to the present invention.

[0023] Figure 1 It is the front view of the overall structure of the capacitive grain moisture content monitoring device in the first embodiment of the present invention;

[0024] Figure 2 It is the cross-sectional view of the moisture content measuring device in the first embodiment of the present invention;

[0025] Figure 3 It is the cross-sectional view of the moisture content detection sensor in the first embodiment of the present invention;

[0026] Figure 4 It is the structural diagram of the signal acquisition unit of the moisture content detection sensor in the first embodiment of the present invention;

[0027] Figure 5 It is the circuit diagram of the signal processing unit of the moisture content detection sensor in the first embodiment of the present invention;

[0028] In the figure, 1, grain storage bin; 2, level switch; 3, cylindrical barrel; 4, rotary motor; 5, mounting seat; 6, arc plate; 7, connecting rod; 8, rotary blade; 9, moisture content detection sensor; 9-1, housing; 9-2, thermocouple probe; 9-3, signal acquisition unit; 9-4, signal processing unit; 9-1-1, first insulating layer; 9-1-2, first copper plate layer; 9-1-3, annular copper coating; 9-1-4, epoxy resin layer; 9-1-5, second copper plate layer; 9-1-6, second insulating layer; 9-1-7, via hole; 10, brush. Detailed Embodiments

[0029] It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0030] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention.

[0031] Without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0032] Embodiment 1

[0033] This embodiment discloses a capacitive grain moisture content monitoring device based on the edge effect, including:

[0034] A grain loading device, including a grain storage area and a grain measurement area;

[0035] A rotating mechanism, including rotating blades, for conveying the grains to be measured in the grain storage area to the grain measurement area;

[0036] A magnetic induction switch, arranged at the corresponding positions where the grain measurement area starts and ends, for feeding back to the controller whether the rotating blades pass by;

[0037] A controller, configured to send a measurement instruction and an end measurement instruction to the moisture content detection sensor according to the result of the rotating blades passing by detected by the magnetic induction switch;

[0038] A moisture content detection sensor, including a planar capacitor, which is arranged in the grain measurement area, and is used to output a voltage value corresponding to the moisture content of the grains to be measured according to the change of capacitance when the grains to be measured act, after receiving the measurement instruction from the controller and before receiving the end measurement instruction from the controller;

[0039] A processing unit, configured to: based on the trained neural network, obtain the final moisture content value of the grains to be measured according to the voltage value corresponding to the moisture content of the grains to be measured output by the moisture content detection sensor and the detected temperature of the grains to be measured.

[0040] In this embodiment, there is also a grain storage device, which includes a grain storage cylinder 1 and a level switch 2. Among them, the grain storage cylinder 1 is a 90° sector body, and the level switch 2 is installed on the grain storage cylinder 1 to detect the position state of the grains in the grain storage cylinder.

[0041] The grain loading device can specifically adopt a cylindrical cylinder 3. The bottom of the cylindrical cylinder 3 is divided into 4 areas, namely area Ⅰ, area Ⅱ, area Ⅲ, and area Ⅳ, each area being 90°.

[0042] Among them, area Ⅰ is the grain storage area, which is connected to the grain storage cylinder 1 after removing the top surface; areas Ⅱ and Ⅲ are the grain measurement areas, and a moisture content detection sensor 9 is installed on the bottom surface of each of areas Ⅱ and Ⅲ. Magnetic induction switches are installed at the starting and ending positions of areas Ⅱ and Ⅲ, that is, at the 90°, 180°, and 270° positions of the cylindrical cylinder 3.

[0043] At a position in the grain measurement area that is one rotating blade 8 length away from the outer wall of the cylindrical cylinder 3, an arc-shaped plate 6 is installed. The arc-shaped plate 6 and the outer wall of the cylindrical cylinder 3 form a 180° annular area. The distance from the upper end of the arc-shaped plate 6 to the top plate of the cylindrical cylinder 3 is equal to the length of the connecting rod 7, and a brush 10 is installed at the top of the arc-shaped plate 6.

[0044] Area Ⅳ is the grain - falling area. The bottom surface is removed, and the grains directly fall into the granary after reaching Area Ⅳ.

[0045] In this embodiment, the rotating mechanism includes a rotating motor 4, a mounting seat 5, a connecting rod 7, and rotating blades 8. The rotating motor 4 is fixed on the mounting seat 5, and the output shaft of the rotating motor 4 is connected to one end of the connecting rod 7; the other end of the connecting rod 7 is connected to the rotating blades 8; there are 8 rotating blades in total, the width of the rotating blades is equal to the internal height of the cylindrical barrel 3, and magnets are mounted on the rotating blades 8 near the upper surface of the cylindrical barrel 3 for the magnetic induction switch to detect.

[0046] In this embodiment, the moisture - content detection sensor 9 includes a housing 9 - 1, a thermocouple probe 9 - 2, a signal acquisition unit 9 - 3, and a signal processing unit 9 - 4.

[0047] Specifically, the thermocouple probe 9 - 2 protrudes from the sensor housing 9 - 1. The thermocouple probe 9 - 2 is used to measure the temperature of the grains to be measured and transmit the detected temperature to the controller.

[0048] The signal acquisition unit 9 - 3 is a surrounding - type planar capacitor. The surrounding - type planar capacitor includes an insulating layer 9 - 1 - 1, a first copper - plate layer 9 - 1 - 2 + annular copper - clad 9 - 1 - 3, an epoxy resin layer 9 - 1 - 4, a second copper - plate layer 9 - 1 - 5, and a second insulating layer 9 - 1 - 6 from top to bottom. Among them, the first copper - plate layer 9 - 1 - 2 + annular copper - clad 9 - 1 - 3 are both located between the insulating layer 9 - 1 - 1 and the epoxy resin layer 9 - 1 - 4, and the surrounding - type plane of the acquisition unit is annular copper - clad 9 - 1 - 3, first copper - plate layer 9 - 1 - 2, annular copper - clad 9 - 1 - 3 from left to right in sequence.

[0049] The annular copper - clad 9 - 1 - 3 and the second copper - plate layer 9 - 1 - 5 are the driving plates of the capacitor, the first copper - plate layer 9 - 1 - 2 is the induction plate of the surrounding - type planar capacitor, and the annular copper - clad 9 - 1 - 3 and the second copper - plate layer 9 - 1 - 5 are connected through a via 9 - 1 - 7 to make the annular copper - clad 9 - 1 - 3 and the second copper - plate layer 9 - 1 - 5 equipotential, which can reduce the influence of interference and parasitic capacitance.

[0050] The signal acquisition unit 9 - 3 measures the capacitance signal by using its edge effect, and the change ΔC of its capacitance is:

[0051]

[0052] where a is the gap between the first copper - plate layer and the annular copper - clad; L is the length of the first copper - plate layer; W is the width of the first copper - plate layer; X is the width - direction variable of the annular copper - clad; ΔX is the width change increment of the annular copper - clad; ε x is the dielectric constant of the object to be measured.

[0053] In the dynamic case ΔC is the capacitance, ΔQ is the electric charge stored in the wrap-around planar capacitor, and ΔU is the output voltage. It can be seen that the dielectric constant ε of the object to be measured x changes, the capacitance value ΔC changes accordingly, and the output voltage ΔU also changes accordingly. During the measurement process, both the grain thickness and the grain moisture content will affect the dielectric constant ε of the object to be measured x , and the provided moisture content measurement device can reduce the influence of grain thickness fluctuations on the dielectric constant.

[0054] The signal processing unit 9-4 includes a 100 kHz crystal oscillator, three analog switches MAX4544, and a current-mode operational amplifier AD8004. The 100 kHz crystal oscillator controls the switching of the analog switch MAX4544 to perform high-frequency charge and discharge on the signal acquisition unit 9-4, and the current-mode operational amplifier AD8004 performs differential amplification on the input signal.

[0055] The signal processing method of the signal processing unit 9-4 is as Figure 5 shown: The power supply Vin is respectively connected to pin 3 and pin 10 of the current-mode operational amplifier AD8004, and pin 6 of the second analog switch MAX4544, where pin 6 of the second analog switch MAX4544 is connected to the capacitive drive plate of the wrap-around planar capacitor; the induction plate of the wrap-around planar capacitor is connected to pin 9 of the current-mode operational amplifier AD8004.

[0056] The output terminal of the crystal oscillator is respectively connected to pin 1 of the first analog switch MAX4544, the second analog switch MAX4544, and the third analog switch MAX4544. Pin 6 of the first analog switch MAX4544 is connected to pin 9 of the current-mode operational amplifier AD8004, and pin 6 of the third analog switch MAX4544 is connected to pin 2 of the current-mode operational amplifier AD8004; pin 1 of the current-mode operational amplifier AD8004 is connected to pin 6 of the operational amplifier, and pin 8 of the current-mode operational amplifier AD8004 is connected to pin 5 of the operational amplifier.

[0057] The adjustable capacitor C30 and the capacitor C18 form a reference adjustment circuit, which is connected to the pin 5 of the third analog switch MAX4544. By adjusting the size of C30, the reference capacitance value of the moisture content of different grains is set. When the crystal oscillator output is 1, the pins 5 and 6 of the analog switch MAX4544 chip are closed, and the power supply Vin charges the drive plate of the signal acquisition unit 9-3. The pin 1 of the current-mode operational amplifier AD8004 charges C30 and C18 reversely; when the crystal oscillator output is 0, the pins 5 and 4 of the analog switch MAX4544 chip are closed, and the signal acquisition unit 9-3, C30 and C18 are grounded for discharging. During the charging process, the signal of the induction plate of the signal acquisition unit 9-3 is input to the pin 9 of the current-mode operational amplifier AD8004, and a differential amplification operation is performed with the Vin signal; the reference circuit signal is connected to the pin 2 of the current-mode operational amplifier AD8004, and a differential amplification operation is performed with the Vin signal; the signals output from the pins 1 and 8 of the current-mode operational amplifier AD8004 are differentially amplified again, and finally the difference between the amplified acquisition signal and the reference signal is obtained, which is the voltage value of the grain moisture content.

[0058] Grains fall into the grain storage cylinder 1. When the grain storage cylinder level switch 2 is in the triggered state, the height of the grain in the grain storage area is greater than the height of the cylindrical cylinder 3. At this time, the controller drives the rotary motor 4 to drive the 8 rotary blades 8 to rotate, and the blades transport the grains from area I to the grain measurement area; the grains are restricted by the top plate and the inner arc plate 6 of the cylindrical cylinder 3, and the volume of the grains transported between two adjacent rotary blades is approximately equal, and the thickness is about the internal height h of the cylindrical cylinder 3, effectively reducing the fluctuation of the measured grain thickness.

[0059] In this embodiment, grain samples with different moisture contents are obtained by the method of soaking + drying, and the moisture content is limited within the range of (5%, 50%). At the same temperature, the voltage value U generated by the sensor of the grain samples with different moisture contents before drying is detected, and then the grain samples with different moisture contents are dried to obtain the moisture content M of the sample grains, and the corresponding data of the grain moisture content and the voltage value under this temperature condition are obtained.

[0060] By the same method, the corresponding data of the grain moisture content and the voltage value within the temperature range of (-5°C, 45°C) are detected and obtained.

[0061] Construct the grain moisture content M, the temperature value T, and the sensor output voltage value U as sample data, and train the BP neural network model according to the constructed training samples.

[0062] Among them, the number of nodes in the input layer of the BP neural network model is designed to be 2, and the input parameters are the sensor output voltage value U and the temperature T; the number of nodes in the output layer is set to 1, and the output parameter is the grain moisture content M. The number of nodes in the hidden layer is k, where n, m, and k are the numbers of nodes in the input layer, output layer, and hidden layer respectively, and α is usually a variable positive constant within 10. The BP neural network training uses the tansig function The network error function uses the mean square error function (MSE). where n is the number of nodes in the output layer, m is the capacity of the sample data, and d and y represent the expected output result and the actual output result respectively. Training is carried out 1000 times with a search step of 0.01 and an error precision of 0.001 to obtain a data model. The model data is written into the controller, and the controller outputs the corresponding moisture content value according to the temperature and voltage signals fed back by the thermocouple probe 9-2 and the moisture content detection sensor 9

[0063] In this embodiment, two grain moisture content detection sensors 9 are used to ensure the accuracy of the measurement results. When a certain rotating blade 8 moves to the grain measurement area in zone II, the magnetic induction switch at the 90° position of the cylindrical barrel 3 is triggered, and the controller starts to read the measurement value of the moisture content detection sensor 9 in zone II. When the rotating blade 8 moves out of zone II, the magnetic induction switch at the 180° position of the cylindrical barrel 3 is triggered, and the controller ends the reading of the measurement data. The moisture content of the grain in zone II measured during this time period is M 1 。

[0064] Similarly, during the time period when the rotating blade 8 moves into and out of zone III, that is, during the time period when the magnetic induction switches at the 180° and 270° positions of the cylindrical barrel 3 are triggered, the measured grain moisture content is M 2 Finally, the grain falls into the granary in zone IV, and at this time, a moisture content measurement process is completed. The grain moisture content is: Set the sampling time interval of the grain moisture content to T, and the moisture content of the grain within the time interval is M T , where n is the number of grain moisture content measurements completed within the time T

[0065] Embodiment 2

[0066] The purpose of this embodiment is to provide a capacitive grain moisture content monitoring method based on edge effect, using a capacitive grain moisture content monitoring device based on edge effect in Embodiment 1, including:

[0067] Start the rotating mechanism to convey the grain to be measured in the grain storage area to the grain measurement area;

[0068] Start the magnetic induction switch to monitor whether the grain to be measured is located in the grain measurement area;

[0069] Start the moisture content detection sensor. When the grain to be measured is located in the grain measurement area, based on the edge effect, according to the change of capacitance when the grain to be measured acts, output the voltage value corresponding to the moisture content of the grain to be measured;

[0070] According to the output voltage value corresponding to the moisture content of the grain to be measured and the detected temperature of the grain to be measured, based on the trained neural network, obtain the final moisture content value of the grain to be measured.

[0071] Those skilled in the art should understand that the above-mentioned modules or steps of the present invention can be implemented by a general-purpose computer device. Optionally, they can be implemented by program codes executable by the computing device. Thus, they can be stored in the storage device and executed by the computing device, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module to implement. The present invention is not limited to any specific combination of hardware and software.

[0072] Although the specific implementation manners of the present invention are described above in conjunction with the accompanying drawings, it is not a limitation on the protection scope of the present invention. Those skilled in the art should understand that, based on the technical solution of the present invention, various modifications or deformations that can be made by those skilled in the art without creative labor are still within the protection scope of the present invention.

Claims

1. A capacitive grain moisture content monitoring device based on edge effect, characterized in that: include: A grain carrying device including a grain storage area and a grain measuring area; A rotating mechanism, including rotating blades, is used to transport the grain to be measured from the grain storage area to the grain measuring area; Magnetic induction switches, arranged at corresponding positions at the beginning and the end of the grain measuring area, for feeding back to the controller whether the rotating blade has passed; A controller configured to send a measurement instruction and a measurement end instruction to a moisture content detection sensor according to the result of the rotating blade passing detected by the magnetic induction switch; A moisture content detection sensor, comprising a planar capacitor, which is arranged in the grain measurement area and is used to output a voltage value corresponding to the moisture content of the grain to be measured based on the edge effect according to the change of capacitance when the grain to be measured is acted upon after receiving the measurement instruction of the controller and before receiving the end measurement instruction of the controller; A processing unit is configured to: obtain a final moisture content value of the grain to be tested based on a trained neural network according to a voltage value corresponding to the moisture content of the grain to be tested output by the moisture content detection sensor and a detection temperature of the grain to be tested; The grain carrying device specifically adopts a cylindrical barrel, and the bottom of the cylindrical barrel is divided into four areas, namely area I, area II, area III and area IV, each area is 90 degrees; among them, area I is a grain storage area, which is connected to the grain storage barrel after removing the top surface; area II and area III are grain measuring areas; an arc plate is installed in the grain measuring area at a position one length of the rotating blade away from the outer wall of the cylindrical barrel; area IV is a grain landing area; the width of the rotating blade is equal to the internal height of the cylindrical barrel.

2. A capacitive grain moisture content monitoring device based on edge effect as claimed in claim 1, characterized in that: The planar capacitor includes a first insulating layer, a first copper plate layer + annular copper cladding, an epoxy resin layer, a second copper plate layer and a second insulating layer arranged in sequence; wherein the annular copper cladding and the second copper plate layer are driving plates, the first copper plate layer is an induction plate, the annular copper cladding and the second copper plate layer are connected through a hole, and the annular copper cladding and the second copper plate layer are at the same potential.

3. A capacitive grain moisture content monitoring device based on edge effect as claimed in claim 1, characterized in that: The rotating mechanism also includes a rotating motor, a connecting rod and a mounting seat; the rotating motor is fixed on the mounting seat, the output shaft of the rotating motor is connected to one end of the connecting rod, and the other end of the connecting rod is connected to the rotating blade.

4. A capacitive grain moisture content monitoring device based on edge effect as claimed in claim 3, characterized in that: It also includes an arc plate, which is arranged below the connection between the connecting rod and the rotating blade.

5. The capacitive grain moisture content monitoring device based on edge effect as claimed in claim 2, characterized in that: The planar capacitor is used to: obtain a capacitance change value based on the length of the first copper plate layer, the width of the first copper plate layer, the width direction variable of the annular copper cladding, the spacing between the first copper plate layer and the annular copper cladding, the width change increment of the annular copper cladding, and the dielectric constant of the measured grain; and output a voltage value corresponding to the moisture content of the grain based on the capacitance change value.

6. A capacitive grain moisture content monitoring device based on edge effect as claimed in claim 1, characterized in that: The moisture content detection sensor also includes a thermocouple probe for measuring the detection temperature of the grain to be detected.

7. A capacitive grain moisture content monitoring device based on edge effect as claimed in claim 1, characterized in that: The training of the neural network specifically includes: obtaining sample grains with different moisture contents at the same temperature by measuring the moisture content detection sensor to obtain different voltage values, and using the corresponding temperature, moisture content and voltage value as first sample data; The sample grains are measured at different temperatures by the moisture content detection sensor to obtain corresponding voltage values, and the corresponding temperatures, moisture content of the sample grains and voltage values ​​are used as second sample data; The neural network is trained using the first sample data and the second sample data to obtain a trained neural network.

8. The capacitive grain moisture content monitoring device based on edge effect as claimed in claim 1, characterized in that: The processing unit also includes a signal processing unit, which includes a current-type operational amplifier, three analog switches and a crystal oscillator, wherein the crystal oscillator is used to control the switching of the analog switches; one of the analog switches is electrically connected to the driving plate of the planar capacitor, and the sensing plate of the planar capacitor is electrically connected to the operational amplifier; the operational amplifier is used to perform differential amplification operations on the input signal.

9. A capacitive grain moisture content monitoring device based on edge effect as claimed in claim 8, characterized in that: The signal processing unit further comprises: a reference adjustment circuit composed of an adjustable capacitor and a capacitor, wherein the reference adjustment circuit is electrically connected to the analog switch, and the reference capacitance value of the moisture content of different grains is set by adjusting the size of the adjustable capacitor.

10. A capacitive grain moisture content monitoring method based on edge effect, using a capacitive grain moisture content monitoring device based on edge effect as claimed in any one of claims 1 to 9, characterized in that: include: Start the rotating mechanism to transport the grains to be measured in the grain storage area to the grain measuring area; Start the magnetic induction switch to monitor whether the rotating blade passes through the starting position and the ending position of the grain measuring area; Starting the moisture content detection sensor, when the grain to be tested is located in the grain measurement area, outputting a voltage value corresponding to the moisture content of the grain to be tested according to the change of capacitance when the grain to be tested is acted upon based on the edge effect; According to the output voltage value corresponding to the moisture content of the grain to be tested and the detection temperature of the grain to be tested, the final moisture content value of the grain to be tested is obtained based on the trained neural network.

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