CN214669586U - Plant trunk internal pest detection device based on electromagnetic wave imaging - Google Patents
Plant trunk internal pest detection device based on electromagnetic wave imaging Download PDFInfo
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- CN214669586U CN214669586U CN202120845516.1U CN202120845516U CN214669586U CN 214669586 U CN214669586 U CN 214669586U CN 202120845516 U CN202120845516 U CN 202120845516U CN 214669586 U CN214669586 U CN 214669586U
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Abstract
The utility model provides a plant trunk internal plant diseases and insect pests detection device based on electromagnetic wave imaging, including radar chip module and electromagnetic wave transceiver, electromagnetic wave transceiver is used for launching and receiving the electromagnetic wave, two-way connection between radar chip module and the electromagnetic wave transceiver, the electromagnetic wave of gathering is converted into digital form through radar chip module, and the storage, electromagnetic wave transceiver signal connection has radar antenna, radar antenna pastes the periphery at the plant trunk of awaiting measuring, be used for electromagnetic wave that electromagnetic wave transceiver produced measures the plant trunk, radar chip module still signal connection has display and analysis module, the display is used for accomplishing the demonstration of measured data, analysis module is used for data analysis and confirms the information of the plant trunk internal plant diseases and insect pests of awaiting measuring, the utility model discloses not only can master the timber performance of fruit tree, and defective live fruit trees can be timely cured, so that the quality and the yield of the fruit trees are improved.
Description
Technical Field
The utility model belongs to the technical field of plant trunk plant diseases and insect pests detect, concretely relates to inside plant trunk plant diseases and insect pests detection device and method based on electromagnetic wave formation of image.
Background
In recent years, the use of scientific planting technology effectively improves agricultural products in China, and the increase of fruit tree yield accounts for a great proportion of agricultural yield. However, many farmers in China neglect the control of plant diseases and insect pests, so that the yield of fruit trees is reduced, and the economic loss is caused. In the growth process of fruit trees, diseases and insect pests can cause important influence on the fruit trees, and even can cause death or morbidity of the fruit trees. Many fruit growers are not aware of the disease and pest control, usually know the severity of the problem only when discovering the death, the pathological changes and the invasion of pests of fruit trees, and meanwhile, many fruit growers are aware of the disease and pest control, but the control measures are not perfect, only the surface diseases and pests can be seen, the threat to the interior of the trunk of the fruit tree plant is not paid attention to, and the number of the diseases and pests is continuously increased.
However, in early fruit tree pest and disease defect detection, researchers mainly adopt traditional detection methods such as a visual method, a knocking sound discrimination method and an anatomy observation method due to the lack of corresponding equipment and technology. Due to the limitation of the detection methods, the detection effect on the fruit tree pest and disease defects is not ideal. The traditional detection methods, such as a visual detection method, a knocking sound discrimination method and an anatomical observation method, have the defects of low accuracy, easiness in causing irreversible damage to trees, poor timeliness and the like to different degrees, cannot effectively detect the fruit tree pest and disease damage defects, and are low in efficiency, more in influenced factors and not suitable for detection of large-area fruit tree pests and diseases.
SUMMERY OF THE UTILITY MODEL
The utility model aims to solve the technical problem that to the not enough of above-mentioned prior art, provide the inside plant diseases and insect pests detection device of plant trunk based on electromagnetic wave formation of image to solve the problem that proposes in the above-mentioned background art.
In order to solve the technical problem, the utility model discloses a technical scheme is: the plant trunk internal pest detection device based on electromagnetic wave imaging comprises a radar chip module and an electromagnetic wave transmitting and receiving device, wherein the electromagnetic wave transmitting and receiving device is used for transmitting and receiving electromagnetic waves, the radar chip module is in bidirectional connection with the electromagnetic wave transmitting and receiving device, and the collected electromagnetic waves are converted into a digital form and stored through the radar chip module;
the electromagnetic wave transmitting and receiving device is connected with a radar antenna in a signal mode, the radar antenna is attached to the periphery of the plant trunk to be measured and used for enabling the electromagnetic wave transmitting and receiving device to generate electromagnetic waves to measure the plant trunk;
the radar chip module is further connected with a display and an analysis module through signals, the display is used for displaying measured data, and the analysis module is used for analyzing data and determining information of plant diseases and insect pests in the plant trunk to be detected.
Preferably, the radar chip module is arranged at the geometric center of the packaging box, and the electromagnetic wave transceiver and the display are both arranged at the outer side of the packaging box.
Compared with the prior art, the utility model has the following advantage:
1. the utility model discloses in based on the inside defect detection of electromagnetic wave formation of image's fruit tree plant trunk, be a timber nondestructive test technique, use nondestructive test, not only can master the ligneous performance of fruit tree, also can carry out timely treatment to the defective living fruit tree, improved the quality and the output of fruit tree.
2. The utility model discloses well electromagnetic wave detection technique and imaging algorithm have characteristics such as the swift simple and imaging accuracy height of operation, can quantify position, size and shape of evaluation trees inside disease and wormhole defect, can play positive effect to the accurate detection of trees inside plant diseases and insect pests.
3. The utility model discloses in based on the accurate detection device of the inside plant diseases and insect pests defect of electromagnetic wave formation of image fruit tree plant trunk have lightly, the flexibility is strong, easy operation, testing process safety, neither can cause the injury to timber, also can not cause the pollution to all ring edge borders yet, and to the nonradiative injury of human body, be a nondestructive test device in the true sense.
4. The utility model discloses a bed thickness can be estimated in the experiment, the inside condition of analysis plant trunk. Common detection methods are threshold detection, matched-Asahi filter, Hilbert-product algorithm, etc. Threshold detection is the simplest horizon analysis method, but when the signal-to-noise ratio of an echo signal is small, the relative error of threshold detection is large; the matched filter cannot effectively detect the overlapped echo signals, and the accuracy is poor. The utility model discloses a hilbert's product algorithm detects the discernment to the inside different horizons of plant trunk, can effectively estimate the bed thickness.
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FIG. 1 is a schematic frame diagram of the present invention;
description of reference numerals:
1-a radar chip module; 2-an electromagnetic wave transmitter-receiver; 3-a display; 4-a radar antenna; 5-an analysis module.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
Embodiment 1, as shown in fig. 1, the utility model provides a technical scheme: inside plant diseases and insect pests detection device of trunk based on electromagnetic wave formation of image, including radar chip module 1 and electromagnetic wave transceiver 2, electromagnetic wave transceiver 2 is used for launching and receiving the electromagnetic wave, two-way connection between radar chip module 1 and the electromagnetic wave transceiver 2 converts the electromagnetic wave of gathering into digital form through radar chip module 1 to the storage.
The radar chip module 1 is arranged at the geometric center of the packaging box 6, and the electromagnetic wave transceiver 2 and the display 3 are both arranged at the outer side of the packaging box 6.
The electromagnetic wave transmitting and receiving device 2 is connected with a radar antenna 4 in a signal mode, and the radar antenna 4 is attached to the periphery of a plant trunk to be measured and used for measuring the plant trunk by electromagnetic waves generated by the electromagnetic wave transmitting and receiving device 2;
radar chip module 1 still signal connection has display 3 and analysis module 5, display 3 is used for accomplishing measured data's demonstration, analysis module 5 is used for data analysis and confirms the information of the plant trunk inside plant diseases and insect pests that awaits measuring.
The detection method of the device for detecting plant diseases and insect pests in the plant trunk based on electromagnetic wave imaging in the embodiment 1 comprises the following steps:
s1, attaching the radar antenna 4 to the periphery of the plant trunk to be measured to move, and generating a pulse signal for measuring the plant trunk to be measured by using the electromagnetic wave transceiver 2;
s2, transmitting a pulse signal generated by the electromagnetic wave transceiver 2 and used for measuring the plant trunk to be measured through a medium of the plant trunk to be measured, receiving the pulse signal through the electromagnetic wave transceiver 2, and transmitting the collected electromagnetic wave to the radar chip module 1;
s3, the radar chip module 1 converts the collected electromagnetic waves into a digital form, transmits the digital form to the analysis module 5 for analysis, and stores the information;
s4, the analysis module 5 analyzes the collected electromagnetic waves through an analysis algorithm preset in the analysis module, and determines the information of plant diseases and insect pests in the plant trunk to be detected.
The information of the plant diseases and insect pests in the plant trunk to be detected comprises defect position information, electromagnetic wave tomography information and layer position analysis information of the plant trunk to be detected.
The plant trunk defect position information to be detected is determined by determining the electromagnetic wave propagation speed and the dielectric constant through a Maxwell equation system, and the method comprises the following steps:
s1, determining the defect position, wherein the defect position is detected by using high-frequency electromagnetic waves, the propagation of the high-frequency electromagnetic waves in the medium follows Maxwell equation set, and the differential form of the Maxwell equation set can be expressed as:
wherein ρ is the charge density; d is a potential shift; e is the electric field strength; b is magnetic induction; h is the magnetic field intensity; j is the current density; the four vectors D, E, B and h are called field quantities, and J and ρ are vector and scalar quantities;
assuming the medium is homogeneous, it is simplified to:
J＝σE
B＝μh
D＝εE
where σ is the electrical conductivity, μ is the magnetic permeability, and ε is the dielectric constant.
By integrating the two equations, a maxwell equation system only containing two vector field forms can be obtained:
standard wave equation in wave equation and mathematical physics equation obtained by deformation
And comparing to obtain the propagation speed of the electromagnetic wave:
s2, calculating according to the reflection time and the propagation speed of the radar waves in the healthy tree medium and the interface of the defect medium to obtain the position of the defect as follows:
h is the propagation speed from the bark to the healthy wood medium and the propagation speed from the bark to the defective wood medium, t is the echo time of electromagnetic waves in different medium structures, c is the light speed in vacuum, and epsilon is the dielectric constant;
s3, reusing amplitudeThe method comprises the steps of solving the dielectric constant by utilizing the amplitude ratio of radar echo signals to reflected signals of media of each layer, and approximately considering the superposition of reflected waves of interfaces of each layer for the received radar echo signals; suppose A1Amplitude of reflected wave at interface of air layer and 1 st dielectric layer, A2Amplitude of the reflected wave at the interface of the 1 st and 2 nd dielectric layers, AmFor the echo amplitude of the radar wave, the dielectric constant estimation formulas of the 1 st dielectric layer and the 2 nd dielectric layer are respectively:
and S4, substituting the dielectric constant obtained in the S3 into S2 to obtain the defect position information of the plant trunk to be detected.
The electromagnetic wave tomography information is determined through an echo signal model established by radar echo signals, and different medium layer positions and abnormal areas in the plant trunk can be identified through the frequency spectrum characteristics of the echo signals. The echo signal model is;
wherein K is the number of dielectric layers, yr(t) represents an acceptance signal consisting of a reflection signal of the K-layer interface, AkThe amplitude of the reflected wave of the kth layer, x (t) the incident pulse, τ k the time delay of the kth echo, and n (t) the noise.
The resolution detection in the electromagnetic wave tomography method comprises the following steps:
the resolution ratio is the ability of distinguishing the echo amplitude of a quite static layer of a plant trunk layer, is related to the wavelength of a transmitted wave, the smaller the wavelength is, the higher the waveform model identification ability is, and otherwise, the lower the identification ability is, and the resolution ratio comprises longitudinal resolution ratio and transverse resolution ratio. According to the radar system theory, the range resolution of the radar is:
for the detection of the internal defects of the plant trunk, because the interior of the living standing tree is similar to a layered structure, the longitudinal resolution needs to pay attention, the longitudinal resolution is the capability of a single echo signal to distinguish two adjacent signals in a vertical direction time domain, and two pulses of the echo signal may be far away and completely separated in the time domain, or the waveforms of the two adjacent signals are overlapped at a close distance, or almost approximately overlapped.
According to the electromagnetic theory, the wavelength λ of an electromagnetic wave propagating in a medium is:
from the above formula, the maximum distance is inversely proportional to the center frequency, the dielectric constant and the magnetic permeability, when the thickness of the dielectric layer is equal to 1/2 of the wavelength, the reflection of the layer with equal section can generate destructive interference, and the interference is strengthened until the reflection disappears completely as the thickness of the layer becomes thinner; when the layer thickness reaches 1/8 wavelength, the reflected signal can not be received, and only the composite superposed signal can be received, which is the limit of longitudinal resolution.
The horizon analysis method estimates the layer thickness through a Hilbert product algorithm and performs EMD on an echo signal to obtain N IMF components c1(t)～cn(t), and then calculating the dot product of all IMF negative energy absolute values as:
since the echo signal contains a positive peak and a negative peak, so that the received signal is composed of multi-peak pulses, which is prone to false detection, the signal needs to be smoothed by a window function. Performing convolution by using P (t) and a window function W (t) to complete the smoothing process:
T(t)＝W(t)*P(t)
judging the sizes of T (t) and a threshold value V (t), judging that the reflecting layer is detected when the signal of T (t) is greater than the threshold value, and calculating corresponding time delay; otherwise, no reflecting layer is detected, and different media are positioned and layered through a Hilbert-product algorithm.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (2)
1. The plant trunk internal pest detection device based on electromagnetic wave imaging is characterized by comprising a radar chip module (1) and an electromagnetic wave transceiver (2), wherein the electromagnetic wave transceiver (2) is used for transmitting and receiving electromagnetic waves, the radar chip module (1) and the electromagnetic wave transceiver (2) are connected in a bidirectional mode, and collected electromagnetic waves are converted into a digital form through the radar chip module (1) and are stored;
the electromagnetic wave transmitting and receiving device (2) is connected with a radar antenna (4) in a signal mode, and the radar antenna (4) is attached to the periphery of the plant trunk to be measured and used for measuring the plant trunk by the electromagnetic waves generated by the electromagnetic wave transmitting and receiving device (2);
radar chip module (1) still signal connection has display (3) and analysis module (5), display (3) are used for accomplishing measured data's demonstration, analysis module (5) are used for data analysis and confirm the information of the plant trunk inside plant diseases and insect pests that awaits measuring.
2. The plant trunk internal pest detection device based on electromagnetic wave imaging according to claim 1, wherein the radar chip module (1) is arranged at the geometric center of the packaging box (6), and the electromagnetic wave transceiver (2) and the display (3) are both arranged at the outer side of the packaging box (6).
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| CN113030961A (en) * | 2021-04-23 | 2021-06-25 | 中国农业科学院农业信息研究所 | Device and method for detecting plant trunk internal plant diseases and insect pests based on electromagnetic wave imaging |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113030961A (en) * | 2021-04-23 | 2021-06-25 | 中国农业科学院农业信息研究所 | Device and method for detecting plant trunk internal plant diseases and insect pests based on electromagnetic wave imaging |
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