Wheat seed flow real-time monitoring method with environment compensation, device and medium

Abstract

The application discloses a wheat seed flow real-time monitoring method with environment compensation, equipment and medium, relates to the technical field of agricultural operation monitoring, and comprises the following steps: seeds discharged from a seed meter pass through a monitoring channel between an intermediate capacitor plate and a monitoring capacitor plate and fall, and monitoring capacitor signals and environment compensation capacitor signals are collected; the monitoring capacitor value after offset of a basic capacitor is compensated for the environment, a sliding average filtering algorithm is used to process the environment compensation capacitor value after offset, the monitoring capacitor signals are differentiated from the filtered environment compensation capacitor value; a capacitor flow ratio is calculated according to the sliding average capacitor value; the real-time seed flow at the moment is obtained according to the real-time capacitor flow ratio and the real-time capacitor value; and the seed flow in 1 second is calculated by integration to obtain the real-time seed flow. The application can realize reliable real-time monitoring of different seed flows.

Description

Technical Field

[0001] This invention relates to the field of agricultural operation monitoring technology, and in particular to a method, equipment and medium for real-time monitoring of wheat seed flow with environmental compensation. Background Technology

[0002] For seed flow monitoring of small-seed row-sown crops such as wheat, some researchers have explored sensor types, structures, and monitoring algorithms. In existing technologies, photoelectric sensors are used to monitor whether seed flow is blocked during seeding. For seed flow monitoring methods, such as the paper "Development of an infrared seed-sensing system to estimate flow rates based on physical properties of seeds," published in *Computers and Electronics in Agriculture*, 2019, volume 162, pp. 874-881, one method discloses a calculation model establishing seed flow rate and phototube voltage. However, this method is easily affected by dust. When the seed flow rate is too high, the increased seed overlap rate can cause the phototube voltage to become insensitive to changes in seed flow rate, reducing the sensor's monitoring accuracy under high seed flow rates. Another method is similar to that used in corn seeding monitoring systems, such as the paper "Development of an anti-dust sensor for precise seed flow monitoring and seed type identification," published in *Smart Agricultural Technology*, 2025. 12. This method establishes a multivariate regression estimation model for seed flow based on the seed pulse signal and time interval. This monitoring algorithm is feasible under low seed flow conditions, but as the seed flow increases, the seed overlap rate increases, and multiple seeds generate only one pulse signal, which greatly reduces the monitoring accuracy. Summary of the Invention

[0003] In view of the aforementioned existing problems, the present invention is proposed.

[0004] Therefore, this invention provides a method and system for real-time monitoring of wheat seed flow with environmental compensation, solving the problem that existing technologies cannot accurately detect high seed flow.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0006] In a first aspect, the present invention provides a method for real-time monitoring of wheat seed flow with environmental compensation, which includes the following steps:

[0007] S1. Seeds discharged from the seed metering device fall through the monitoring channel between the intermediate capacitor plate and the monitoring capacitor plate, and the monitoring capacitor signal and the environmental compensation capacitor signal are collected.

[0008] S2. Perform environmental compensation on the monitoring capacitance value after the basic capacitance is offset. Use the moving average filtering algorithm to process the environmental compensation capacitance value after the offset. Difference between the monitoring capacitance value and the filtered environmental compensation capacitance value.

[0009] S3. Calculate the capacitor flow ratio based on the moving average capacitance value;

[0010] S4. Calculate the current flow rate based on the real-time capacitor flow rate ratio and the real-time capacitor value;

[0011] S5. Calculate the seed flow rate within 1 second using integration to obtain the real-time seed flow rate.

[0012] As a preferred embodiment of the real-time monitoring method for wheat seed flow with environmental compensation described in this invention,

[0013] Wherein: In step S2, the formula for calculating the difference is,

[0014] ;

[0015] C comp,i C represents the capacitance value calculated after environmental compensation and offset following the i-th sampling, in pF. offset,i

[0016] The measured capacitance value after offset is in pF; D smooth,i The environmental compensation capacitor value after moving average filtering is expressed in pF; D offset,j’ The value of the environmental compensation capacitor after offset is given, and S is the size of the moving average filter window for the environmental compensation capacitor.

[0017] As a preferred embodiment of the real-time monitoring method for wheat seed flow with environmental compensation described in this invention, wherein: in step S3, the capacitor flow ratio F (P i )for,

[0018] ;

[0019] ;

[0020] Where A and B are points passing through the endpoints D of each interval, respectively. j and Q j The proportional and constant terms of the established linear function, P i The measured capacitance value is the monitoring capacitance after moving average filtering, in pF; σ is the standard deviation of the sensor's static value; Ij x is the integral value of the sensor data at the endpoint of the interval. j D represents the number of samples taken during the experiment. j M is the ratio of the seeding quality at the interval endpoints to the integral of the sensor data. j Q represents the seeding quality at the endpoints of the interval. j is the average value of sensor data at the interval endpoints; j is the index of the interval endpoints, j=1, 2…6.

[0021] In a preferred embodiment of the real-time monitoring method for wheat seed flow with environmental compensation described in this invention, in step S5, the formula for calculating the real-time seed flow is:

[0022] ;

[0023] Among them, R m The real-time flow rate for seeding is expressed in g / s; x is the number of samples taken by the sensor within 1 second; W is the size of the moving average filter window for the monitoring capacitance; C comp,j’’ The capacitance value used to calculate the average monitoring capacitance is the environmentally compensated and offset-calculated value.

[0024] As a preferred embodiment of the real-time monitoring method for wheat seed flow with environmental compensation described in this invention, in step S2, the calculation formula for the basic capacitance offset is as follows:

[0025] ;

[0026] Among them, C offset,i The measured capacitance value is the value after offset; D offset,i The environmental compensation capacitance value after offset; C i The original monitoring capacitance value; D i The original environmental compensation capacitance value; C base To monitor the offset value of the capacitor; D base The offset value of the environmental compensation capacitor; N is the number of samples required to calculate the offset value; C jj The base capacitance value for calculating the monitoring capacitor is the capacitance value, where jj is the monitoring capacitor data index; D kk The capacitance value is used to calculate the base capacitance value of the environmental compensation capacitor, and kk is the data index of the environmental compensation capacitor.

[0027] As a preferred embodiment of the real-time monitoring method for wheat seed flow with environmental compensation described in this invention, during monitoring, an environmental compensation capacitor electrode plate for collecting environmental compensation capacitor signals is also used, with an intermediate capacitor plate located between the monitoring capacitor plate and the environmental compensation capacitor electrode plate, and the monitoring capacitor plate and the environmental compensation capacitor electrode plate having the same structure.

[0028] In a second aspect, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein when the computer program is executed by the processor, it implements any step of the real-time monitoring method for wheat seed flow with environmental compensation as described in the first aspect of the present invention.

[0029] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements any step of the real-time monitoring method for wheat seed flow with environmental compensation as described in the first aspect of the present invention.

[0030] The beneficial effects of this invention are as follows: This invention establishes a dynamic proportional coefficient model that can change with the average value of the monitoring capacitor through piecewise linearization, and performs real-time environmental compensation on the monitoring capacitor signal to eliminate the influence of temperature and humidity drift, thereby realizing accurate measurement of high seed flow rate of small grains, which is especially suitable for real-time monitoring of wheat seed flow rate. Attached Figure Description

[0031] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0032] Figure 1 This is a schematic diagram of seed metering monitoring in this invention. In the diagram, Seed represents the seed, Seeding wheel is the seed metering wheel, Sensing unit is the sensing unit, i.e., the flow monitoring sensor, and h is the height from the lower edge of the seed metering tongue to the upper edge of the sensor, in mm. s The length of the monitoring electrode is in mm, r is the radius of the outer grooved wheel of the seed metering device in mm, ω is the rotational speed of the outer grooved wheel seed metering device in r / min, and d is the distance from the outer grooved wheel to the inner grooved wheel. s This represents the distance between the plates of a parallel plate capacitor, in mm.

[0033] Figure 2 This is a waveform diagram of the electrode drive of a flow monitoring sensor with shielded electrodes.

[0034] Figure 3 This is a waveform diagram of the electrode drive of a flow monitoring sensor without shielded electrodes.

[0035] Figure 4 This is a simulated electric field diagram of the sensor. Figure 4 (a) is a simulated electric field diagram of a flow monitoring sensor with shielded electrodes. Figure 4 (b) is a simulated electric field diagram of a flow monitoring sensor without shielded electrodes.

[0036] Figure 5 This is a schematic diagram of the layout of the FDC1004 chip in this invention.

[0037] Figure 6 This is a diagram of a dynamic scaling model.

[0038] Figure 7 This is a photograph of the wheat sowing test bench in this invention.

[0039] Figure 8 The figure shows the test results of constant flow rate monitoring accuracy.

[0040] Figure 9 Interaction diagram plotted to estimate marginal average.

[0041] Figure 10 This is a graph showing the accuracy results of variable flow rate monitoring.

[0042] In the diagram, 100 is the intermediate capacitor plate, 101 is the driving electrode, 102 is the intermediate plate, 200 is the monitoring capacitor plate, 201 is the intermediate electrode, 202 is the edge shielding electrode, 203 is the second plate, 204 is the intermediate shielding electrode, 205 is the first plate, 300 is the environmental compensation capacitor plate, 400 is the wheat seed metering device test platform, 401 is the test frame, 402 is the seed receiving box, 403 is the weighing instrument, 404 is the seed metering shell, 405 is the electric seed metering device, and 406 is the seed box. Detailed Implementation

[0043] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0044] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0045] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0046] Example 1, referring to Figure 1This is the first embodiment of the present invention, which provides a real-time monitoring method for wheat seed flow with environmental compensation. During monitoring, a flow monitoring structure is used to monitor the flow of falling seeds. The flow monitoring structure includes a seed metering housing 404, within which a flow monitoring sensor is connected. The flow monitoring sensor includes a central capacitor plate 100, a monitoring capacitor plate 200, and an environmental compensation capacitor plate, all vertically disposed within the seed metering housing 404. The central capacitor plate 100 is located between the monitoring capacitor plate 200 and the environmental compensation capacitor plate. The monitoring capacitor plate 200 and the environmental compensation capacitor plate have identical structures and are symmetrically arranged about the center of the central capacitor plate 100. The capacitance signal collected by the flow monitoring sensor is transmitted to a signal conditioning circuit, which includes a TI FDC1004 four-channel capacitance-to-digital converter. The central capacitor plate 100, the monitoring capacitor plate 200, and the environmental compensation capacitor plate are all electrically connected to the capacitance-to-digital converter, which converts the received capacitance signal into a capacitance value. The method includes the following steps:

[0047] S1. Seeds discharged from the seed metering device fall through the monitoring channel between the intermediate capacitor plate 100 and the monitoring capacitor plate 200. The intermediate capacitor plate 100 and the monitoring capacitor plate 200 collect monitoring capacitor signals, and the intermediate capacitor plate 100 and the environmental compensation capacitor plate 300 collect environmental compensation capacitor signals.

[0048] S2. Perform environmental compensation on the monitoring capacitance value after the basic capacitance is offset. Use the moving average filtering algorithm to process the environmental compensation capacitance value after the offset. Difference between the monitoring capacitance value and the filtered environmental compensation capacitance value.

[0049] The formula for calculating the basic capacitance offset is as follows:

[0050] ;

[0051] Among them, C offset,i The measured capacitance value is the value after offset; D offset,i The environmental compensation capacitance value after offset; C i The original monitoring capacitance value; D i The original environmental compensation capacitance value; C base To monitor the offset value of the capacitor; D base The offset value of the environmental compensation capacitor; N is the number of samples required to calculate the offset value; C jj The base capacitance value for calculating the monitoring capacitor is the capacitance value, where jj is the monitoring capacitor data index; D kk The base capacitance value used to calculate the environmental compensation capacitor is the capacitance value, where kk is the environmental compensation capacitor data index; the formula for differential calculation is,

[0052] ;

[0053] C comp,i C is the capacitance value calculated after environmental compensation and offset following the i-th sampling. offset,i For offset

[0054] The monitoring capacitance value is given after the test, in pF; D smooth,i The environmental compensation capacitor value after moving average filtering is expressed in pF; D offset,j’ The value of the environmental compensation capacitor after offset is expressed in pF; S is the size of the moving average filter window for the environmental compensation capacitor.

[0055] S3. Calculate the capacitance-to-flow ratio F(P) based on the moving average capacitance value. i )for,

[0056] ;

[0057] ;

[0058] Where A and B are points passing through the endpoints D of each interval, respectively. j and Q j The proportional and constant terms of the established linear function, P i The measured capacitance value is the monitoring capacitance after moving average filtering, in pF; σ is the standard deviation of the sensor's static value; I j x is the integral value of the sensor data at the endpoint of the interval. j D represents the number of samples taken during the experiment. j M is the ratio of the seeding quality at the interval endpoints to the integral of the sensor data. j Q represents the seeding quality at the endpoints of the interval. j is the average value of sensor data at the interval endpoints; j is the index of the interval endpoints, j=1, 2…6.

[0059] S4. Calculate the current flow rate based on the real-time capacitor flow rate ratio and the real-time capacitor value;

[0060] S5. Calculate the seed flow rate within 1 second using integration to obtain the real-time seed flow rate. The formula for calculating the real-time seed flow rate is as follows:

[0061] ;

[0062] Among them, R m The real-time flow rate for seeding is expressed in g / s; x is the number of samples taken by the sensor within 1 second; W is the size of the moving average filter window for the monitoring capacitance; C comp,j’ ’ The environmentally compensated monitoring capacitance value was used to calculate the average monitoring capacitance.

[0063] By establishing a dynamic proportional coefficient model that can change with the average value of the monitoring capacitance through piecewise linearization, and performing real-time environmental compensation on the monitoring capacitance signal, the influence of temperature and humidity drift is eliminated, thereby achieving accurate measurement of high seed flow rate for small grains.

[0064] Example 2: Refer to Figures 2-5 The flow monitoring sensor used in this embodiment can further improve monitoring accuracy.

[0065] Specifically, the intermediate capacitor plate 100 includes an intermediate plate 102, with driving electrodes 101 on its left and right sides respectively. The monitoring capacitor plate 200 includes a first plate 205 and a second plate 203, with an intermediate shielding electrode 204 between the first plate 205 and the second plate 203. An intermediate electrode 201 is located on one side of the second plate 203 opposite to the intermediate capacitor plate 100, and edge shielding electrodes 202 are located on the second plate 203 surrounding the intermediate electrode 201. The shielding electrodes in the monitoring capacitor plate 200 are connected to the SHLD1 interface of the FDC1004 chip. The intermediate electrode 201 in the 00 is connected to the CIN1 interface of the FDC1004 chip, the two driving electrodes 101 of the intermediate plate 102 are connected to the SHLD2 interface of the FDC1004 chip, the shielding electrode in the environmental compensation capacitor plate 300 is connected to the SHLD1 interface of the FDC1004 chip, and the intermediate electrode 201 in the environmental compensation capacitor plate 300 is connected to the CIN2 interface of the FDC1004 chip; the spacing between two adjacent capacitor plates is preferably 10mm, and the intermediate plate 102, the first plate 205 and the second plate 203 are all preferably Fr-4 PCB substrates.

[0066] The intermediate electrode 201 is connected to the driving source CIN1. SHLD1 and CIN1 have the same amplitude and phase, so there is no potential difference between the shielding electrode and the monitoring electrode. The electric field strength between them is 0, and external interference will be coupled to the shielding electrode. The interaction with the sensor electrode is minimal. The same is true for the environmental compensation capacitor plate 300. Conversely, for capacitor plates without active shielding electrodes, any external interference will be directly coupled to the intermediate electrode 201 and the environmental compensation electrode.

[0067] A flow monitoring sensor model was built using COMSOL software and simulation analysis was performed. For the sensor with active shielding, the environmental compensation electrode, edge shielding electrode 202, and intermediate shielding electrode 204 were used as three terminals with a voltage of 1V applied, and the electrode on the intermediate capacitor plate 100 was grounded. For the unshielded sensing unit, the environmental compensation electrode was used as the terminal with a voltage of 1V applied, and the driving electrode 101 on the intermediate plate 102 was grounded. The electric field lines on the environmental compensation electrodes of the two types of sensors were plotted in the simulation results, as shown below. Figure 5As shown, a sensor with an active shielding electrode can orient and focus the sensing area onto the air region between the two plates. Moreover, the presence of the edge shielding electrode 202 reduces the capacitive edge effect. In contrast, the environmental compensation electrode of a sensor without an active shielding electrode not only senses the air region between the two plates, but also the seeding channel outside the plates is within the sensing range of the environmental compensation electrode. Therefore, a capacitive sensor with an active shielding electrode is more suitable for use in a wheat flow sensor with environmental compensation.

[0068] Example 3: Reference Figure 6 and Figure 7 This embodiment aims to calibrate the ratio of flow rate to capacitance integral at different rotational speeds in order to establish a dynamic proportional coefficient model.

[0069] Calibration was performed on the AS-WMFS flow monitoring structure with shielded electrodes and the NS-WMFS flow monitoring structure without shielded electrodes using a wheat seed metering test bench 400. The calibration environment was 23 ℃ and 30%RH. The selected calibration material was Huanghuai Wheat 998, bred by Jiangsu Huanghuai Seed Industry Co., Ltd., with a thousand-grain weight of (45.5±0.11) g and a moisture content of (4.31±0.08)%. The seed metering speed was set to 10, 20, 30, 40, 50, and 60 r / min. The seed metering device was controlled to rotate 10 revolutions at each speed, and the test was conducted 5 times at each speed, for a total of 60 tests. The total seeding mass was recorded for each test, and the integral value and mean value of the capacitance after basic capacitance offset calibration and environmental compensation were calculated (Table 1). A dynamic proportional coefficient model F(P) was established. i ),like Figure 6 As shown, according to F(P) in step S3 i The calculation formula is used to draw dynamic proportional coefficient models for the two sensors.

[0070] Table 1 Parameter Table of Dynamic Scale Model

[0071]

[0072] Wheat seed metering test bench 400 Figure 7 As shown, the wheat seed metering test platform 400 includes a test frame 401. A seed box 406 for storing seeds is fixedly connected to the test frame 401. An electric seed metering device 405 is fixedly connected to the lower side of the seed box 406. A seed metering housing 404 is fixedly connected to the lower side of the housing of the electric seed metering device 405. A flow monitoring sensor is installed inside the seed metering housing 404. A seed receiving box 402 with an upward opening is placed on the platform below the seed metering housing 404. A weighing instrument 403 for detecting the total mass of each seed metering is also placed on the platform.

[0073] Example 4: Reference Figures 8-10To evaluate the effectiveness of the capacitor plate structure used in Example 2 in improving the system monitoring accuracy and the practicality of the algorithm, a comparative test of the monitoring accuracy of AS-WMFS and NS-WMFS under constant flow and variable flow conditions was designed. The test materials were consistent with the materials used for calibration in Example 3.

[0074] In the comparative test of monitoring accuracy under constant flow rate, the seed metering device was set to five fixed speeds of 15, 25, 35, 45, and 55 r / min. The measurement quality and actual seed metering quality of the monitoring system of AS-WMFS and NS-WMFS were recorded after 10 continuous rotations at each speed. Each test was repeated 3 times, for a total of 30 tests. In the comparative test of monitoring accuracy under variable flow rate, the seed metering device was set to three speed ranges: low speed (10-26 r / min), medium speed (26-42 r / min), and high speed (42-58 r / min). Each speed range was divided into 5 speed gradients with an interval of 4 r / min. After running at each speed for 5 seconds, the device was uniformly accelerated to the next speed. The measurement quality and actual seed metering quality of the monitoring system of AS-WMFS and NS-WMFS were recorded in the three speed ranges. Each test was repeated 3 times, for a total of 18 tests.

[0075] The results of the comparative test on monitoring accuracy under constant flow rate are shown in Table 2 and Figure 8 As shown, the AS-WMFS achieved the highest average monitoring accuracy of 99.80% at 35 r / min and the lowest average monitoring accuracy of 99.07% at 55 r / min. The NS-WMFS achieved the highest average monitoring accuracy of 99.32% at 25 r / min and the lowest average monitoring accuracy of 98.21% at 55 r / min. At 15 r / min, the accuracy difference between the AS-WMFS and NS-WMFS was the smallest (0.19%), while at 55 r / min, the difference was the largest (0.86%). With increasing rotational speed, the average monitoring accuracy of both sensors showed a trend of first increasing and then decreasing. At all rotational speeds, the average monitoring accuracy of the AS-WMFS was higher than that of the NS-WMFS. Overall, the AS-WMFS achieved an average accuracy of 99.46%, significantly higher than the NS-WMFS's 98.93%.

[0076] Table 2 Average Monitoring Accuracy of Constant Flow Rate

[0077]

[0078] Based on the preliminary analysis of the results, in order to explore the influence of the shielding electrode and the rotation speed of the seed metering device on the monitoring accuracy, and to analyze whether there is an interaction between the two factors, a two-way ANOVA was used to statistically analyze the experimental data. The results are shown in Table 3. Table 3 shows that the presence or absence of a shielding electrode significantly affects the monitoring accuracy (p<0.001), indicating that the active shielding electrode significantly influences the monitoring accuracy. The average monitoring accuracy at different rotation speeds also shows a highly significant difference (p<0.001), indicating that different rotation speeds also significantly affect the monitoring accuracy. The interaction between the presence or absence of an active shielding electrode and the rotation speed is significant (p<0.05). Figure 9 It is an interaction diagram drawn using the marginal average of the accuracy estimates, from... Figure 9 It can be seen that the improvement in sensor monitoring accuracy brought about by the active shielding electrode is not consistent at all rotation speeds. Although the monitoring accuracy of both AS-WMFS and NS-WMFS is affected by the seeder rotation speed, as the rotation speed increases, especially at high speeds, NS-WMFS is more likely to reduce monitoring accuracy due to high flow rates. Compared to NS-WMFS, AS-WMFS has a more outstanding ability to maintain accuracy at high flow rates.

[0079]

[0080] Where SS is the sum of squares of deviations from the mean; Df represents the degrees of freedom; MS is the mean square; F is the test statistic method; * indicates significance at the 5% level; ** indicates significance at the 1% level; *** indicates significance at the 0.1% level.

[0081] The results of the comparative test on monitoring accuracy under variable flow are as follows: Figure 10 As shown, the AS-WMFS achieves the highest average monitoring accuracy of 99.51% for variable flow rate in the medium-speed range and the lowest average monitoring accuracy of 98.90% in the high-speed range. The NS-WMFS achieves the highest average monitoring accuracy of 99.12% for variable flow rate in the medium-speed range and the lowest average monitoring accuracy of 98.29% in the high-speed range. The overall average monitoring accuracy of AS-WMFS and NS-WMFS for variable flow rate is 99.19% and 98.78%, respectively. Similar to the comparison test of monitoring accuracy under constant flow rate, in the comparison test of AS-WMFS and NS-WMFS under variable flow rate, the average monitoring accuracy first increases and then decreases with the increase of the speed range. Compared with NS-WMFS, AS-WMFS improves the average monitoring accuracy of variable flow rate by 0.21% in the low-speed range and the improvement is more significant at 0.61% in the high-speed range. This test verifies the ability of this invention to achieve accurate monitoring under variable flow rate seeding operation conditions.

[0082] This invention demonstrates higher and more stable monitoring accuracy. Under constant flow, the average monitoring accuracy of AS-WMFS is 99.46%. At the same time, it achieves reliable monitoring under variable flow, with AS-WMFS maintaining a minimum accuracy of not less than 98.90%. The overall average monitoring accuracy for variable flow is 99.19%.

[0083] This embodiment also provides a computer device applicable to the real-time monitoring method of wheat seed flow with environmental compensation, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the real-time monitoring method of wheat seed flow with environmental compensation as proposed in the above embodiment.

[0084] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0085] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the method for real-time monitoring of wheat seed flow with environmental compensation as proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0086] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for real-time monitoring of wheat seed flow with environmental compensation, characterized in that: include, S1. Seeds discharged from the seed metering device fall through the monitoring channel between the intermediate capacitor plate and the monitoring capacitor plate, and the monitoring capacitor signal and the environmental compensation capacitor signal are collected. S2. Perform environmental compensation on the monitoring capacitance value after the base capacitance is offset. Use the moving average filtering algorithm to process the environmental compensation capacitance value after the offset. Then, perform a difference between the monitoring capacitance signal and the filtered environmental compensation capacitance value. S3. Calculate the capacitor flow ratio based on the moving average capacitance value; S4. Calculate the current flow rate based on the real-time capacitor flow rate ratio and the real-time capacitor value; S5. Calculate the seed flow rate within 1 second using integration to obtain the real-time seed flow rate.

2. The method for real-time monitoring of wheat seed flow with environmental compensation as described in claim 1, characterized in that: In step S2, the formula for calculating the difference is: ； C comp,i The capacitance value calculated after environmental compensation and offset following the i-th sampling is expressed in pF; C offset,i The measured capacitance value after offset is in pF; D smooth,i The environmental compensation capacitor value after moving average filtering is expressed in pF; D offset,j’ The value of the environmental compensation capacitor after offset is given, and S is the size of the moving average filter window for the environmental compensation capacitor.

3. The method for real-time monitoring of wheat seed flow with environmental compensation as described in claim 1, characterized in that: In step S3, the capacitor flow rate ratio F (P) i )for, ； ； Where A and B are points passing through the endpoints D of each interval, respectively. j and Q j The proportional and constant terms of the established linear function, P i The measured capacitance value is the monitoring capacitance after moving average filtering, in pF; σ is the standard deviation of the sensor's static value; I j x is the integral value of the sensor data at the endpoint of the interval. j D represents the number of samples taken during the experiment. j M is the ratio of the seeding quality at the interval endpoints to the integral of the sensor data. j Q represents the seeding quality at the endpoints of the interval. j is the average value of sensor data at the interval endpoints; j is the index of the interval endpoints, j=1, 2…6.

4. The method for real-time monitoring of wheat seed flow with environmental compensation as described in claim 3, characterized in that: In step S5, the formula for calculating the real-time seed traffic is: ; Among them, R m The real-time flow rate for seeding is expressed in g / s; x is the number of samples taken by the sensor within 1 second; W is the size of the moving average filter window for the monitoring capacitance; C comp,j’ ’ The capacitance value used to calculate the average monitoring capacitance is the environmentally compensated and offset-calculated value.

5. The method for real-time monitoring of wheat seed flow with environmental compensation as described in claim 4, characterized in that: In step S2, the formula for calculating the basic capacitor offset is as follows: ； Among them, C offset,i The measured capacitance value is the value after offset; D offset,i The environmental compensation capacitance value after offset; C i The original monitoring capacitance value; D i The original environmental compensation capacitance value; C base To monitor the offset value of the capacitor; D base The offset value of the environmental compensation capacitor; N is the number of samples required to calculate the offset value; C jj The base capacitance value for calculating the monitoring capacitor is the capacitance value, where jj is the monitoring capacitor data index; D kk The capacitance value is used to calculate the base capacitance value of the environmental compensation capacitor, and kk is the data index of the environmental compensation capacitor.

6. The method for real-time monitoring of wheat seed flow with environmental compensation as described in claim 4, characterized in that: During monitoring, an environmental compensation capacitor electrode plate is also used to collect the environmental compensation capacitor signal. The intermediate capacitor plate is located between the monitoring capacitor plate and the environmental compensation capacitor electrode plate. The monitoring capacitor plate and the environmental compensation capacitor electrode plate have the same structure.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the real-time monitoring method for wheat seed flow with environmental compensation as described in any one of claims 1 to 7.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the real-time monitoring method for wheat seed flow with environmental compensation as described in any one of claims 1 to 7.

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