An automatic calibration system for the yield detection coefficient of a harvester and a harvester

Abstract

This invention provides an automatic calibration system for harvester yield detection coefficients and a harvester itself. The automatic calibration system includes a grain fullness detection sensor, a yield sensor, and a controller. Both the grain fullness detection sensor and the yield sensor are connected to the controller. The controller determines when the harvester is in a full-grain state based on the detection data acquired by the grain fullness detection sensor. It then acquires the grain full volume, the current grain bulk density collected by a bulk density meter, and the current cumulative system yield collected by the yield sensor. The yield detection coefficient is calibrated based on the current grain bulk density, grain full volume, and current cumulative system yield. Utilizing the harvester's existing grain fullness detection sensor as an automatic calibration switch, combined with the grain bulk density parameter measured by the bulk density meter input into the system, the system obtains the grain weight at the time of the full-grain alarm and automatically corrects the current yield coefficient, reducing yield measurement errors. Calibration is simple, does not increase costs, reduces the need for weighing sensor calibration, and enhances reliability.

Description

Technical Field

[0001] This invention relates to the field of harvester yield detection technology, and in particular to an automatic calibration system for harvester yield detection coefficients and a harvester. Background Technology

[0002] A photoelectric volumetric flow sensor consists of a light source, a photodetector, and a signal processing circuit. When grain passes through the photodetector, it intermittently blocks the light path, generating a pulse signal. The thickness of the grain layer on the scraper can be calculated based on the width of the pulse signal (the length of the interruption time), thus yielding the grain flow rate. In practical applications, the measurement results are easily affected by factors such as grain density, grain moisture content, and harvester tilt. Furthermore, the probe is susceptible to dust contamination, requiring frequent cleaning and calibration, resulting in unstable performance.

[0003] This real-time yield measurement system for combine harvesters uses weighing sensors to actively correct the detected yield. The weighing sensors are placed inside the grain bin and directly collect the cumulative weight of the grain during the harvesting process. It is not affected by factors such as grain moisture content, grain type, or flow rate changes. As long as the sensors are working properly, it can measure the yield of non-continuous grains and use the data from the weighing sensors to correct the real-time data from the yield sensors.

[0004] While the above-mentioned production detection and calibration method saves the cost and cumbersome process of weighbridge operation, it also increases the overall cost and maintenance cost, which limits its competitiveness in the market. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide an automatic calibration system for the yield detection coefficient of a harvester and a harvester, which addresses the shortcomings of the prior art.

[0006] The technical solution of the present invention to solve the above-mentioned technical problems is as follows: an automatic calibration system for the yield detection coefficient of a harvester, comprising: a grain fullness detection sensor installed on the top of the grain silo, a yield sensor installed on the elevator, and a controller. The grain fullness detection sensor and the yield sensor are both connected to the controller. The controller is used to determine when the harvester is in a grain full state based on the detection data obtained by the grain fullness detection sensor, to obtain the grain full volume, the current grain bulk density collected by the bulk density measuring instrument, and the current system cumulative yield collected by the yield sensor, and to calibrate the yield detection coefficient based on the current grain bulk density, the grain full volume, and the current system cumulative yield.

[0007] The beneficial effects of adopting the technical solution of this invention are as follows: By utilizing the existing grain full detection sensor of the combine harvester as an automatic calibration switch, and combining it with the grain bulk density parameter measured by the bulk density meter and inputting it into the system, the grain weight at the time of the grain full alarm can be obtained, and the current yield coefficient can be automatically corrected, reducing yield measurement errors. Online measurement of grain quality and harvested crop yield is simple to calibrate, does not increase the overall machine cost, increases product price competitiveness, reduces the need for weighing sensor calibration, and enhances system reliability.

[0008] Furthermore, the formula for calibrating the yield detection coefficient based on the current grain bulk density, the full volume of the grain, and the current cumulative system yield is as follows:

[0009] Yield detection coefficient = Current grain bulk density * Full grain volume / Current system cumulative yield * Default yield detection coefficient.

[0010] The beneficial effects of adopting the above-mentioned further technical solutions are: the controller adds a production detection coefficient correction algorithm, automatically calibrates the production detection coefficient, and improves the accuracy of the detection results.

[0011] Furthermore, the full volume of grain is obtained through measurement and calculation using a grain silo digital model.

[0012] The beneficial effects of adopting the above-mentioned further technical solutions are: the full grain volume is an inherent parameter of the mechanical structure, and the accuracy is improved by measuring and calculating it through the grain silo digital model, which facilitates the calculation of the full grain volume.

[0013] Furthermore, it also includes: a human-machine interface terminal, which is connected to the controller. The human-machine interface terminal is used to receive the current grain bulk density collected by the bulk density measuring instrument input by the user, and send the current grain bulk density to the controller.

[0014] The beneficial effects of adopting the above-mentioned further technical solution are as follows: The grain bulk density parameter measured by the bulk density meter is input into the human-machine interface terminal, which then sends it to the controller via bus communication. Utilizing the existing grain fullness detection sensor in the combine harvester as an automatic calibration switch, combined with the bulk density parameter setting on the human-machine interface, calibration is simple, does not increase the overall machine cost, and enhances product price competitiveness. By changing the bulk density parameter setting on the human-machine interface, the yield coefficient is readjusted, ensuring accuracy and synchronization.

[0015] Furthermore, the controller is also used to calibrate the yield detection coefficient when it is determined that the harvester is in a full grain state based on the detection data obtained by the grain full detection sensor and the yield detection coefficient is determined to be the default value.

[0016] The beneficial effects of adopting the above-mentioned further technical solution are: when the grain full detection sensor detects that the grain is full and determines that the yield detection coefficient is the default value, the controller program executes the yield detection coefficient correction algorithm. This improves the reliability of the system and the accuracy of the detection results.

[0017] Furthermore, the controller is also used to recalibrate the yield detection coefficient when the current grain bulk density collected by the bulk density measuring instrument changes and the harvester is determined to be in a full grain state based on the detection data obtained by the grain full detection sensor.

[0018] The beneficial effect of adopting the above-mentioned further technical solution is that when the grain bulk density parameter is changed, the yield measurement coefficient will be recalibrated to ensure the accuracy of yield detection when the grain type / density is changed.

[0019] Furthermore, the yield sensor is used to detect grain yield based on the yield detection coefficient after calibration.

[0020] The beneficial effects of adopting the above-mentioned further technical solution are: to detect grain yield based on the yield detection coefficient after calibration, ensuring the accuracy of the measurement and ensuring the accuracy of yield detection when the grain type / density is changed.

[0021] Furthermore, the production sensor is a photoelectric production measurement sensor.

[0022] The beneficial effect of adopting the above-mentioned further technical solution is that it facilitates the detection of yield.

[0023] In addition, the present invention also provides a harvester, including: an automatic calibration system for the yield detection coefficient of a harvester as described in any one of the above claims.

[0024] The beneficial effects of adopting the technical solution of this invention are as follows: By utilizing the existing grain full detection sensor of the combine harvester as an automatic calibration switch, and combining it with the grain bulk density parameter measured by the bulk density meter and inputting it into the system, the grain weight at the time of the grain full alarm can be obtained, and the current yield coefficient can be automatically corrected, reducing yield measurement errors. Online measurement of grain quality and harvested crop yield is simple to calibrate, does not increase the overall machine cost, increases product price competitiveness, reduces the need for weighing sensor calibration, and enhances system reliability.

[0025] The advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of the automatic calibration system for harvester yield detection coefficient provided in an embodiment of the present invention.

[0027] Figure 2This is a schematic flowchart illustrating the automatic calibration method for harvester yield detection coefficients provided in an embodiment of the present invention.

[0028] The following are the symbols and their meanings: 1. Grain full detection sensor; 2. Yield sensor; 3. Controller; 4. Human-machine interface terminal. Detailed Implementation

[0029] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0030] like Figure 1 As shown, this embodiment of the invention provides an automatic calibration system for the yield detection coefficient of a harvester, including: a grain fullness detection sensor 1 installed on the top of the grain silo, a yield sensor 2 installed on the elevator, and a controller 3. The grain fullness detection sensor 1 and the yield sensor 2 are both connected to the controller 3. The controller 3 is used to determine when the harvester is in a full grain state based on the detection data obtained by the grain fullness detection sensor 1, to obtain the grain full volume, the current grain bulk density collected by the bulk density measuring instrument, and the current system cumulative yield collected by the yield sensor 2, and to calibrate the yield detection coefficient based on the current grain bulk density, the grain full volume, and the current system cumulative yield.

[0031] The beneficial effects of adopting the technical solution of this invention are as follows: By utilizing the existing grain full detection sensor of the combine harvester as an automatic calibration switch, and combining it with the grain bulk density parameter measured by the bulk density meter and inputting it into the system, the grain weight at the time of the grain full alarm can be obtained, and the current yield coefficient can be automatically corrected, reducing yield measurement errors. Online measurement of grain quality and harvested crop yield is simple to calibrate, does not increase the overall machine cost, increases product price competitiveness, reduces the need for weighing sensor calibration, and enhances system reliability.

[0032] Among them, the bulk density meter is an essential instrument in the photoelectric yield measurement system to obtain the density of grain.

[0033] This invention relates to an automatic calibration system for harvester yield detection coefficients, belonging to the field of measurement device technology. It is used for online measurement of grain quality and crop yield during the grain harvesting process of combine harvesters. Addressing the shortcomings of existing combine harvester yield calibration methods in precision agriculture, this system provides a simple method for calibrating and correcting the yield coefficient. This calibration method utilizes the existing grain fullness detection sensor on the combine harvester, combined with the grain bulk density parameter (current grain bulk density) measured by a bulk density meter, input into the system. This allows the system to obtain the grain weight at the time of the fullness alarm, automatically correcting the current yield coefficient and reducing measurement errors. When the grain bulk density parameter is changed, the yield coefficient is recalibrated to ensure the accuracy of yield detection when the grain type / density changes.

[0034] Furthermore, the formula for calibrating the yield detection coefficient based on the current grain bulk density, the full volume of the grain, and the current cumulative system yield is as follows:

[0035] Yield detection coefficient = Current grain bulk density * Full grain volume / Current system cumulative yield * Default yield detection coefficient.

[0036] The beneficial effects of adopting the above-mentioned further technical solutions are: the controller adds a production detection coefficient correction algorithm, automatically calibrates the production detection coefficient, and improves the accuracy of the detection results.

[0037] The current grain bulk density is measured using a bulk density meter. The full volume of the grain is an inherent parameter of the mechanical structure, measured through structural design. It can be calculated using a grain silo digital model. The current cumulative yield is obtained using photoelectric yield measurement principles. The default yield detection coefficient is a correlation coefficient used to correct for photoelectric yield measurement errors. The yield detection coefficient is an automatically calibrated and updated yield correction coefficient, further correcting for photoelectric yield measurement errors.

[0038] Furthermore, the full volume of grain is obtained through measurement and calculation using a grain silo digital model.

[0039] The beneficial effects of adopting the above-mentioned further technical solutions are: the full grain volume is an inherent parameter of the mechanical structure, and the accuracy is improved by measuring and calculating it through the grain silo digital model, which facilitates the calculation of the full grain volume.

[0040] like Figure 1 As shown, it further includes: a human-machine interface terminal 4, which is connected to the controller 3. The human-machine interface terminal 4 is used to receive the current grain bulk density collected by the bulk density measuring instrument input by the user and send the current grain bulk density to the controller 3.

[0041] The beneficial effects of adopting the above-mentioned further technical solution are as follows: The grain bulk density parameter measured by the bulk density meter is input into the human-machine interface terminal, which then sends it to the controller via bus communication. Utilizing the existing grain fullness detection sensor in the combine harvester as an automatic calibration switch, combined with the bulk density parameter setting on the human-machine interface, calibration is simple, does not increase the overall machine cost, and enhances product price competitiveness. By changing the bulk density parameter setting on the human-machine interface, the yield coefficient is readjusted, ensuring accuracy and synchronization.

[0042] Furthermore, the controller 3 is also used to calibrate the yield detection coefficient when it is determined that the harvester is in a full grain state based on the detection data obtained by the grain full detection sensor 1 and the yield detection coefficient is determined to be the default value.

[0043] The beneficial effects of adopting the above-mentioned further technical solution are: when the grain full detection sensor detects that the grain is full and determines that the yield detection coefficient is the default value, the controller program executes the yield detection coefficient correction algorithm. This improves the reliability of the system and the accuracy of the detection results.

[0044] Even if the grain bulk density remains unchanged and the yield detection coefficient is set to the default value, the program will perform automatic correction, but the result will not change.

[0045] The program will perform automatic corrections, but the result will not change.

[0046] Furthermore, the controller 3 is also used to recalibrate the yield detection coefficient when the current grain bulk density collected by the bulk density measuring instrument changes and the harvester is determined to be in a full grain state based on the detection data obtained by the grain full detection sensor.

[0047] The beneficial effect of adopting the above-mentioned further technical solution is that when the grain bulk density parameter is changed, the yield measurement coefficient will be recalibrated to ensure the accuracy of yield detection when the grain type / density is changed.

[0048] Furthermore, the yield sensor 2 is used to detect grain yield based on the yield detection coefficient after calibration.

[0049] The beneficial effects of adopting the above-mentioned further technical solution are: to detect grain yield based on the yield detection coefficient after calibration, ensuring the accuracy of the measurement and ensuring the accuracy of yield detection when the grain type / density is changed.

[0050] Furthermore, the production sensor 2 is a photoelectric production measurement sensor.

[0051] The beneficial effect of adopting the above-mentioned further technical solution is that it facilitates the detection of yield.

[0052] By studying the key technologies of agricultural yield measurement systems, we will develop a vehicle-mounted automatic yield measurement calibration system (automatic calibration system for harvester yield detection coefficient) that is suitable for combine harvesters and has high accuracy, thus laying a foundation for the implementation of precision agriculture.

[0053] The grain bulk density parameter (current grain bulk density) measured by the bulk density meter is input into the human-machine interface terminal, and the human-machine interface terminal sends it to the controller through bus communication.

[0054] The controller adds a production detection coefficient correction algorithm: Production detection coefficient = Current grain bulk density * Full grain volume / Current system cumulative production * Default production detection coefficient;

[0055] The full volume of grain can be obtained through measurement and calculation using a grain silo digital model.

[0056] When the grain full detection sensor detects that the grain is full and determines that the yield detection coefficient is the default value, the controller program executes the yield detection coefficient correction algorithm.

[0057] When the human-machine interface bulk density parameter setting is changed, the yield detection coefficient is restored to the default value. When the grain full detection sensor detects that the grain is full, the yield detection coefficient correction algorithm is re-executed to calculate the new yield detection coefficient.

[0058] 1) The system utilizes the existing grain full detection sensor of the combine harvester as an automatic calibration switch, combined with the bulk density parameter setting of the human-machine interface (the interface of the human-machine interface terminal), making calibration simple, without increasing the overall machine cost, and increasing the product's price competitiveness.

[0059] 2) By changing the bulk density parameter settings on the human-machine interface, the production detection coefficient is readjusted to ensure accuracy and synchronization.

[0060] 3) Reducing the number of sensors in the system reduces the risk factors for system performance, reduces the need for weighing sensor calibration, and enhances system reliability.

[0061] Calibration is simple, and automatic recalibration is performed when updating grain bulk density settings to ensure accurate and synchronized measurements.

[0062] In addition, the present invention also provides a harvester, including: an automatic calibration system for the yield detection coefficient of a harvester as described in any one of the above claims.

[0063] The beneficial effects of adopting the technical solution of this invention are as follows: By utilizing the existing grain full detection sensor of the combine harvester as an automatic calibration switch, and combining it with the grain bulk density parameter measured by the bulk density meter and inputting it into the system, the grain weight at the time of the grain full alarm can be obtained, and the current yield coefficient can be automatically corrected, reducing yield measurement errors. Online measurement of grain quality and harvested crop yield is simple to calibrate, does not increase the overall machine cost, increases product price competitiveness, reduces the need for weighing sensor calibration, and enhances system reliability.

[0064] like Figure 2 As shown, this invention also provides an automatic calibration method for the yield detection coefficient of a harvester, comprising:

[0065] S1. Obtain grain warehouse status information;

[0066] S2. Determine whether the grain warehouse is full based on the grain warehouse status information;

[0067] S3. When the grain silo is full, obtain the full volume of grain, the current bulk density of grain, and the current cumulative output of the system.

[0068] S4. The yield detection coefficient is calibrated based on the current grain bulk density, the full volume of the grain, and the current cumulative output of the system.

[0069] Furthermore, in step S4, the yield detection coefficient is calibrated using the following formula:

[0070] Yield detection coefficient = Current grain bulk density * Full grain volume / Current system cumulative yield * Default yield detection coefficient.

[0071] Furthermore, the full volume of grain is obtained through measurement and calculation using a grain silo digital model.

[0072] Further, step S3 includes: S31, when the grain silo is full, determining whether the yield detection coefficient is the default value;

[0073] S32. When the yield detection coefficient is the default value, obtain the full volume of grain, the current grain bulk density, and the current cumulative output of the system, and execute step S4.

[0074] Furthermore, before step S1, the method includes: determining whether the current bulk density of the grain has changed;

[0075] If the current bulk density of the grain changes, repeat step S1.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An automatic calibration system for the yield detection coefficient of a harvester, characterized in that, include: The system includes a grain fullness detection sensor installed on the top of the grain silo, a yield sensor installed on the elevator, and a controller. Both the grain fullness detection sensor and the yield sensor are connected to the controller. The controller is used to determine when the harvester is in a full grain state based on the detection data obtained by the grain fullness detection sensor, and to obtain the grain full volume, the current grain bulk density collected by the bulk density measuring instrument, and the current system cumulative yield collected by the yield sensor. The controller calibrates the yield detection coefficient based on the current grain bulk density, the grain full volume, and the current system cumulative yield. The formula for calibrating the yield detection coefficient based on the current grain bulk density, the full volume of grain, and the current cumulative system output is: Yield Detection Coefficient = Current Grain Bulk Density * Full Volume of Grain / Current Cumulative System Output * Default Yield Detection Coefficient; It also includes: a human-machine interface terminal, which is connected to the controller, and is used to receive the current grain bulk density collected by the bulk density measuring instrument input by the user and send the current grain bulk density to the controller; the yield sensor is used to detect the grain output based on the calibrated yield detection coefficient; the yield sensor is a photoelectric yield sensor.

2. The automatic calibration system for harvester yield detection coefficient according to claim 1, characterized in that, The full volume of the grain was calculated using a grain silo digital model.

3. The automatic calibration system for harvester yield detection coefficient according to claim 1, characterized in that, The controller is also used to calibrate the yield detection coefficient when it is determined that the harvester is in a full grain state based on the detection data obtained by the grain full detection sensor and the yield detection coefficient is determined to be the default value.

4. The automatic calibration system for harvester yield detection coefficient according to claim 1, characterized in that, The controller is also used to recalibrate the yield detection coefficient when the current grain bulk density collected by the bulk density measuring instrument changes and the harvester is determined to be in a full grain state based on the detection data obtained by the grain full detection sensor.

5. A harvester, characterized in that, include: An automatic calibration system for harvester yield detection coefficients as described in any one of claims 1 to 4.

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