A method, system, chip and harvesting machine for detecting harvesting mechanical losses

Abstract

The present invention relates to the technical field of loss detection methods for harvesting machines, and in particular to a loss detection method, system, chip and harvesting machine for a harvesting machine. The method includes: receiving detection signals collected by a loss detection sensor provided on the harvesting machine within a preset time period; calculating a first derivative of the detection signals; determining a size relationship between the first derivative and 1, determining a target formula according to the determination result, and calculating a loss rate of the harvesting machine by using the target formula. Even when multiple particles strike the loss detection sensor simultaneously, the loss rate of the harvesting machine can still be accurately determined.

Description

Background Art

[0002] Currently, the loss detection sensor installed at the impurity discharge port of the harvesting machine faces the straw mixed with grain particles blown by the fan at a certain angle during the harvesting operation. The lost grain particles and straw continuously strike the detection surface of the loss detection sensor. The loss detection sensor sends the detected real-time signal to the controller. The controller program filters out the interference signal of the straw striking the loss detection sensor by digital filtering, and only retains the vibration signal of the grain particles striking the loss detection sensor. The controller program samples this signal, calculates the number of grain particles lost by this sensor per unit time, and then the controller program obtains the real-time loss rate through an algorithm, including the impurity discharge loss rate and the entrainment loss rate, but it cannot solve the following two problems:

[0003] 1) Figure 1 As shown, when any particle of the preset crop falls on the loss detection sensor, after the particle strikes the loss detection sensor, the loss detection sensor will generate a voltage pulse. When the peak value of this voltage pulse is higher than the preset peak value, a number will be recorded, thereby realizing particle detection. When the loss continues to increase, the response of the loss detection sensor will enter a non-linear saturation region, and at this time the detection accuracy will be greatly reduced;

[0004] 2) When multiple (two or more) grain particles strike the loss detection sensor simultaneously, they cannot be distinguished, and only one number can be measured. This will greatly affect the detection accuracy because the phenomenon of multiple particles striking the loss detection sensor simultaneously is a common one. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a loss detection method, system, chip and harvesting machine for harvesting machines in view of the deficiencies of the prior art.

[0006] The technical solution of a loss detection method for a harvesting machine of the present invention is as follows:

[0007] Receive the detection signal collected by the loss detection sensor set on the harvesting machine within a preset time period;

[0008] Calculate the first derivative of the detection signal;

[0009] Judge the magnitude relationship between the first derivative and 1, determine the target formula according to the judgment result, and calculate the loss rate of the harvesting machine using the target formula.

[0010] The technical solution of a loss detection system for a harvesting machine of the present invention is as follows:

[0011] It includes a receiving module, a first calculation module, a judgment module, a determination module and a second calculation module;

[0012] The receiving module is configured to: receive the detection signal within a preset time period collected by a loss detection sensor provided on a harvesting machine;

[0013] The first calculation module is configured to: calculate the first derivative of the detection signal;

[0014] The judgment module is configured to: judge the magnitude relationship between the first derivative and 1 to obtain a judgment result;

[0015] The determination module is configured to: determine a target formula according to the judgment result;

[0016] The second calculation module is configured to: calculate the loss rate of the harvesting machine by using the target formula.

[0017] A chip of the present invention, the chip executes a method for detecting loss of a harvesting machine described in any one of the above.

[0018] An agricultural machine of the present invention includes the above chip.

[0019] The beneficial effects of the present invention are as follows:

[0020] Even when multiple particles strike the loss detection sensor simultaneously, it is still possible to accurately determine the loss rate of the harvesting machine. Description of the Drawings

[0021] Figure 1 It is: a schematic diagram of a grain particle impact pulse detected by a loss detection sensor when there is no simultaneous impact of multiple particles;

[0022] Figure 2 It is a schematic flowchart of a method for detecting loss of a harvesting machine according to an embodiment of the present invention;

[0023] Figure 3 It is: a schematic diagram of a grain particle impact pulse detected by a loss detection sensor when multiple particles strike simultaneously;

[0024] Figure 4 It is a schematic structural diagram of a system for detecting loss of a harvesting machine according to an embodiment of the present invention; Detailed Embodiments

[0025] As Figure 2 shown, a method for detecting loss of a harvesting machine according to an embodiment of the present invention includes the following steps:

[0026] S1. Receive the detection signal within a preset time period collected by a loss detection sensor provided on a harvesting machine;

[0027] S2. Calculate the first derivative of the detection signal;

[0028] S3. Determine the magnitude relationship between the first derivative and 1, determine the target formula according to the judgment result, and use the target formula to calculate the loss rate of the harvesting machine.

[0029] Among them, the process of determining the target formula according to the judgment result is as follows:

[0030] 1) When the judgment result is , determine the first formula as the target formula. The first formula is: F = k1·V, where F represents the loss rate of the harvesting machine, V = f(t), k1 represents the first empirical value, where f(t) represents: the fitting function of the detected value in the detection signal changing with time, V represents the detected value of the loss detection sensor at time t, and the detected value can be a voltage value, a current value or a pulse width duty ratio. According to the detected value, the loss rate collected by the loss detection sensor can be calculated. represents the first derivative of the detection signal. 2) When the judgment result is , determine the second formula as the target formula. The second formula is: where k2 represents the second empirical value, represents the second derivative of the detection signal.

[0031] 3) When the judgment result is , determine the third formula as the target formula. The third formula is: where k3 represents the third empirical value.

[0032] Among them, the reasons for selecting different formulas as the target formula are as follows:

[0033] is determined by the nature of the loss detection sensor. As Figure 3 shows, the input-output characteristic relationship of the loss detection sensor presents the following characteristics. Generally speaking, when the loss rate is small, the loss rate F and the detected value V of the loss detection sensor show a linear correlation, so the first formula is determined as the target formula. As the loss rate continues to increase, the loss rate F and the detected value V of the loss detection sensor show a non-linear relationship approximately logarithmic, so the second formula is determined as the target formula. When the loss rate exceeds a certain value, the sensor output tends to saturate and hardly changes anymore. Therefore, before entering the saturation area, the algorithm model of the second formula is very accurate and effective. When the loss rate increases rapidly, in the extreme case where it shows an approximately exponential relationship with the detected value V of the loss detection sensor, the third formula is determined as the target formula. Even when multiple particles are simultaneously struck on the loss detection sensor, it is still possible to accurately determine the loss rate of the harvesting machine. Among them, the determination methods of the first empirical value k1, the second empirical value k2, and the third empirical value k3, and the acquisition method of the fitting function of the detected value in the detection signal changing with time are well-known to those skilled in the art and will not be elaborated here.

[0034] Among them, the preset time period is 5 minutes, 10 minutes, etc., which can be set according to the actual situation.

[0035] Optionally, in the above technical solution, it further includes:

[0036] S4. Set at least one loss rate threshold. When the loss rate exceeds each loss rate threshold, corresponding reminders are issued. The number of loss rate thresholds can be set according to the actual situation, and moreover, the specific value of each loss rate threshold can also be set according to the actual situation. Taking two loss rate thresholds, namely F 阀1 and F 阀2 as an example for illustration, specifically:

[0037] 1) When F ≤ F 阀1 , output the real-time loss rate F, and set the indication area to green, indicating that the loss rate is within the standard range.

[0038] 2) When F 阀1 ≤ F ≤ F 阀2 , output the real-time loss rate F, and set the indication area to yellow, indicating that the loss rate is within the yellow alarm range, the loss has exceeded the normal standard, and the operator needs to consider making corresponding adjustments to the harvesting parameters, and issue a yellow warning. The specific method of the yellow warning can be an acoustic-optic method or a display method.

[0039] 3) When F > F 阀2 , output the real-time loss rate F, and set the indication area to red, indicating that the loss rate is within the red alarm range, issue a red warning. The specific method of the red warning can be an acoustic-optic method or a display method. The loss has greatly exceeded the normal standard, and the operator must stop harvesting and make corresponding adjustments to the parameters of the harvesting machinery to reduce the loss.

[0040] From Figure 3 we can clearly see that the input-output characteristic relationship of the loss detection sensor presents the following characteristics:

[0041] 1) At a lower loss rate, it shows a linear relationship;

[0042] 2) As the loss rate rises, it shows a non-linear relationship of formula 3;

[0043] 3) When the loss rate exceeds a certain value, the sensor output tends to saturate and hardly changes anymore. (This hardly occurs in actual work because before the loss enters the saturation area, the system will issue two-level alarms: a yellow warning and a red warning. At this time, the loss rate of the system is already very large, and the operator will promptly adjust the machine working condition parameters to achieve the goal of reducing the loss rate. Therefore, before entering the saturation area, the algorithm model of the second formula is very accurate and effective.

[0044] 4) When the loss rate is at a relatively low level, the output of the loss detection sensor shows a linear relationship. At this stage is almost equal to 1, is almost a constant value, and F still maintains a linear relationship.

[0045] In the above embodiments, although the steps are numbered S1, S2, etc., these are only specific embodiments given in this application. Those skilled in the art can adjust the execution order of S1, S2, etc. according to the actual situation, and this is also within the protection scope of the present invention. It can be understood that in some embodiments, it may include some or all of the above embodiments.

[0046] Such as Figure 4 shown, a loss detection system 200 for a harvesting machine according to an embodiment of the present invention includes a receiving module 210, a first calculation module 220, a judgment module 230, a determination module 240, and a second calculation module 250;

[0047] The receiving module 210 is configured to: receive the detection signal collected by the loss detection sensor provided on the harvesting machine within a preset time period;

[0048] The first calculation module 220 is configured to: calculate the first derivative of the detection signal;

[0049] The judgment module 230 is configured to: judge the magnitude relationship between the first derivative and 1 to obtain a judgment result;

[0050] The determination module 240 is configured to: determine the target formula according to the judgment result;

[0051] The second calculation module 250 is configured to: calculate the loss rate of the harvesting machine by using the target formula.

[0052] Optionally, in the above technical solution, the determination module 240 is specifically configured to:

[0053] When the judgment result is , determine the first formula as the target formula. The first formula is: F = k1·V, where F represents the loss rate of the harvesting machine, k1 represents the first empirical value, V = f(t), f(t) represents: the fitting function of the detection value in the detection signal changing with time, V represents the detection value of the loss detection sensor at time t, represents the first derivative of the detection signal.

[0054] Optionally, in the above technical solution, the determination module 240 is further specifically configured to:

[0055] When the judgment result is , determine the second formula as the target formula. The second formula is: Among them, k2 represents the second empirical value, which represents the second derivative of the detection signal.

[0056] Optionally, in the above technical solution, the determination module 240 is further specifically configured to:

[0057] When the judgment result is , determine the third formula as the target formula, and the third formula is: Among them, k3 represents the third empirical value.

[0058] Optionally, in the above technical solution, it further includes a reminder module, and the reminder module is used to:

[0059] Set at least one loss rate threshold, and when the loss rate exceeds each loss rate threshold, send a corresponding reminder.

[0060] For the above parameters and the steps for each unit module in a harvesting machine loss detection system 200 of the present invention to implement corresponding functions, reference can be made to the parameters and steps in the embodiments of a harvesting machine loss detection method in the foregoing text, which will not be elaborated herein.

[0061] A chip according to an embodiment of the present invention, and the chip executes a harvesting machine loss detection method of any one of the above.

[0062] An agricultural machine according to an embodiment of the present invention includes the above chip.

[0063] Currently, most harvesting machines do not have a loss detection function. Among the few harvesting machines with a loss detection function, they cannot accurately provide an accurate loss rate value. They can only prompt a loss change trend and give a warning to the user on the display. In a harvesting machine of the present invention, an accurate loss rate value can be provided.

[0064] Those skilled in the art of the relevant technical field know that the present invention can be implemented as a system, a method, or a computer program product.

[0065] Therefore, the present disclosure can be specifically implemented in the following forms, that is: it can be completely hardware, can also be completely software (including firmware, resident software, microcode, etc.), and can also be a combination of hardware and software. Generally, it is referred to as "circuit", "module" or "system" in this article. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable media contains computer-readable program code.

[0066] Any combination of one or more computer-readable media may be employed. The computer-readable media may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example - but not limited to - an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium include: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present document, a computer-readable storage medium may be any tangible medium that contains or stores a program which can be used by or in connection with an instruction execution system, apparatus, or device.

[0067] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for detecting harvesting mechanical losses, characterized in that, Comprising: Receiving detection signals within a preset time period collected by a loss detection sensor provided on a harvesting machine; Calculating a first derivative of the detection signals; Judging a magnitude relationship between the first derivative and 1, determining a target formula according to a judgment result, and calculating a loss rate of the harvesting machine by using the target formula; The determining the target formula according to the judgment result includes: When the judgment result is the first formula is determined as the target formula. The first formula is: F = k1·V, where F represents the loss rate of the harvesting machine, k1 represents the first empirical value, V = f(t), and f(t) represents the fitting function of the detected value in the detection signal changing with time. V represents the detected value of the loss detection sensor at time t, represents the first derivative of the detection signal; The determining the target formula according to the judgment result further includes: When the judgment result is , determine the second formula as the target formula, and the second formula is: where k2 represents a second empirical value, denotes the second derivative of the detection signal; The determining the target formula according to the judgment result further includes: When the judgment result is , determine the third formula as the target formula, and the third formula is: Among them, k3 represents the third empirical value.

2. The method for detecting harvesting mechanical losses according to claim 1, characterized in that, Setting at least one loss rate threshold, and sending a corresponding reminder when the loss rate exceeds each loss rate threshold.

3. A system for detecting harvesting mechanical losses, characterized in that, Comprising a receiving module, a first calculation module, a judgment module, a determination module, and a second calculation module; The receiving module is configured to: receive detection signals within a preset time period collected by a loss detection sensor provided on a harvesting machine; The first calculation module is configured to: calculate a first derivative of the detection signals; The judgment module is configured to: judge a magnitude relationship between the first derivative and 1 to obtain a judgment result; The determination module is configured to: determine a target formula according to the judgment result; The second calculation module is configured to: calculate a loss rate of the harvesting machine by using the target formula; The determination module is specifically configured to: When the judgment result is At this time, the first formula is determined as the target formula. The first formula is: F = k1·V, where F represents the loss rate of the harvesting machine, k1 represents the first empirical value, V = f(t), and f(t) represents the fitting function of the detected value in the detection signal changing with time. V represents the detected value of the loss detection sensor at time t, represents the first derivative of the detection signal; The determination module is further specifically configured to: When the judgment result is , determine the second formula as the target formula, and the second formula is: where k2 represents a second empirical value, denotes the second derivative of the detection signal; The determination module is further specifically configured to: When the judgment result is , determine the third formula as the target formula, and the third formula is: Among them, k3 represents the third empirical value.

4. A chip, characterized in that, The chip executes a method for detecting loss of a harvesting machine according to any one of claims 1 to 2 above.

5. An agricultural machine, characterized in that, Comprising a chip according to claim 4.

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