A method and device for real-time detection of the moisture content of harvested grains, and a storage medium

Abstract

The application relates to a grain humidity real-time detection method and device for a harvesting machine and a storage medium, and the method comprises the following steps: performing first curve fitting on grain of the harvesting machine; obtaining a first humidity setting value, a first humidity detection value and a flow detection value in the first curve fitting; fitting a humidity flow fitting formula according to the first humidity setting value, the first humidity detection value and the flow detection value; performing second curve fitting on the grain of the harvesting machine; and obtaining a second humidity setting value, a second humidity detection value and a temperature detection value in the second curve fitting. The grain humidity real-time detection method, device and storage medium provided by the application embodiment provide a simple and effective algorithm, can greatly improve the detection precision of a humidity sensor, and have low operation cost without increasing excessive hardware and software expenses.

Description

Technical Field

[0001] This application relates to the field of harvesting machinery, and in particular to a method, device and storage medium for real-time detection of grain moisture in harvesting machinery. Background Technology

[0002] The generation of harvesting machinery maps relies on real-time yield monitoring, which in turn depends on real-time moisture monitoring of the harvested crops. A yield map can be created using real-time moisture, real-time yield, and the geographical location of the harvesting site. This map provides a basis for precise operations in the next quarter, including sowing, fertilization, spraying, and irrigation. Therefore, the accuracy of real-time moisture monitoring of the harvested crops is crucial.

[0003] Existing real-time humidity detection devices for harvested crops are mostly installed at the lifting auger, or inside the auger to detect the humidity value of the passing grain, or a sampling port is opened on the outside of the lifting auger to take out the sample to be tested from the lifting auger and detect the humidity. However, this method has the following disadvantages: (1) The detection value of the sensor installed inside the lifting auger is greatly affected by the flow rate of the crops transported in the auger. For the same humidity, if the flow rate increases, the detected humidity value will increase; conversely, it will decrease. (2) The detection value of the sample taken through the sampling chamber outside the lifting auger is relatively stable, but the real-time performance is much worse, which is not conducive to drawing real-time maps. Summary of the Invention

[0004] In order to solve the above-mentioned technical problems, or at least partially solve the above-mentioned technical problems, this application provides a method, device and storage medium for real-time detection of grain moisture in harvesting machinery.

[0005] In a first aspect, this application provides a method for real-time detection of grain moisture content in harvesting machinery, the method comprising the following steps:

[0006] A first curve fitting is performed on the grain harvested by the harvesting machinery.

[0007] Obtain the first humidity setpoint, the first humidity detection value, and the flow rate detection value from the first curve fitting;

[0008] A humidity-flow fitting formula is obtained by fitting the first humidity setpoint, the first humidity detection value, and the flow rate detection value.

[0009] A second curve fitting is performed on the grain harvested by the harvesting machinery.

[0010] Obtain the second humidity setpoint, the second humidity detection value, and the temperature detection value from the second curve fitting;

[0011] A humidity-temperature fitting formula is obtained by fitting the second humidity setpoint, the second humidity detection value, and the temperature detection value.

[0012] The real-time humidity, flow rate, and temperature of the grain harvested by the harvesting machinery are obtained.

[0013] The actual humidity of the grain harvested by the machinery is calculated based on the humidity-flow fitting formula, the humidity-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value.

[0014] Preferably, the first curve fitting of the harvested grain in the harvesting machinery includes the following steps:

[0015] The grain is loaded into the lifting platform of the harvesting machinery;

[0016] Obtain the first humidity setting value of the grain harvested by the harvesting machinery;

[0017] Set the elevator operating speed from low to high;

[0018] The first moisture content and flow rate of the grain harvested by the harvesting machinery are detected.

[0019] The first curve fitting is performed on the harvesting machinery grain based on the first humidity setting value, the first humidity detection value, and the flow rate detection value.

[0020] Preferably, the expression for the humidity-flow rate fitting formula is:

[0021] S 设1 =S 检1 +k1*L;

[0022] Among them, S 设1 Indicates the first humidity setting value, S 检1 The first humidity reading is represented by k1, the flow rate correction factor is represented by k1, and the flow rate reading is represented by L.

[0023] Preferably, the second curve fitting of the harvested grain in the harvesting machinery includes the following steps:

[0024] The grain is loaded into the lifting platform of the harvesting machinery;

[0025] Obtain the second humidity setting value of the grain harvested by the harvesting machinery;

[0026] Set the elevator operating temperature from low to high;

[0027] The second humidity and temperature values ​​of the grain harvested by the harvesting machinery are detected.

[0028] A second curve fitting is performed on the harvesting machinery grain based on the second humidity setting value, the second humidity detection value, and the temperature detection value.

[0029] Preferably, the expression for the humidity-temperature fitting formula is:

[0030] S 设2 =S 检2 +k2*T;

[0031] Among them, S 设2 Indicates the second humidity setting value, S 检2 The value represents the second humidity reading, k2 represents the temperature correction factor, and T represents the temperature reading.

[0032] Preferably, the step of calculating the actual humidity of the grain harvested by the machinery based on the humidity-flow fitting formula, the humidity-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value includes the following steps:

[0033] Obtain the flow correction coefficient in the humidity-flow fitting formula;

[0034] Obtain the temperature correction coefficient in the humidity-temperature fitting formula;

[0035] Obtain the humidity-flow-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value;

[0036] The actual humidity is calculated based on the flow correction coefficient, the temperature correction coefficient, the humidity-flow-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value.

[0037] Preferably, the expression for the humidity-flow-temperature fitting formula is:

[0038] S = S 检 +k1*L+k2*T;

[0039] Where S represents the actual humidity, S 检 The value represents the real-time humidity reading, k1 represents the flow rate correction factor, k2 represents the temperature correction factor, L represents the flow rate reading, and T represents the temperature reading.

[0040] Secondly, this application provides a real-time grain moisture detection device for harvesting machinery, comprising:

[0041] The first curve fitting module is used to perform a first curve fitting on the grain in the harvesting machinery.

[0042] The first acquisition module is used to acquire the first humidity setpoint, the first humidity detection value, and the flow detection value in the first curve fitting.

[0043] The humidity-flow fitting formula fitting module is used to fit a humidity-flow fitting formula based on the first humidity set value, the first humidity detection value, and the flow detection value.

[0044] The second curve fitting module is used to perform a second curve fitting on the grain harvested by the harvesting machinery.

[0045] The second acquisition module is used to acquire the second humidity setting value, the second humidity detection value, and the temperature detection value in the second curve fitting.

[0046] The humidity and temperature fitting formula fitting module is used to fit a humidity and temperature fitting formula based on the second humidity set value, the second humidity detection value and the temperature detection value.

[0047] The third acquisition module is used to acquire the real-time humidity detection value, real-time flow detection value, and real-time temperature detection value of the grain harvested by the harvesting machinery;

[0048] The actual humidity calculation module is used to calculate the actual humidity of the grain harvested by the harvesting machinery based on the humidity-flow fitting formula, the humidity-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value.

[0049] Thirdly, an electronic device is provided, the electronic device comprising:

[0050] At least one processor; and,

[0051] A memory communicatively connected to the at least one processor; wherein,

[0052] The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform any of the aforementioned methods for real-time detection of grain moisture in harvesting machinery.

[0053] Fourthly, a non-transitory computer-readable storage medium is provided, which stores computer instructions for causing the computer to execute any of the aforementioned methods for real-time detection of grain moisture in harvesting machinery.

[0054] The technical solutions provided in this application have the following advantages compared with the prior art:

[0055] The embodiments of this application provide a method, device and storage medium for real-time detection of grain moisture in harvesting machinery. It provides a simple and effective algorithm that can significantly improve the detection accuracy of the humidity sensor, and has low computational cost without increasing excessive software and hardware expenses. Attached Figure Description

[0056] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0057] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0058] Figure 1 This is a flowchart illustrating a method for real-time detection of grain moisture in harvesting machinery, provided in an embodiment of the present invention.

[0059] Figure 2 This is a schematic diagram of the structure of a real-time grain moisture detection device for harvesting machinery provided in an embodiment of the present invention;

[0060] Figure 3 This is a schematic diagram of the structure of an electronic device provided by the present invention;

[0061] Figure 4 This is a schematic diagram of the structure of a non-transitory computer-readable storage medium provided by the present invention. Detailed Implementation

[0062] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0063] Figure 1 This is a flowchart illustrating a method for real-time detection of grain moisture in harvesting machinery, provided in an embodiment of this application.

[0064] This application provides a method for real-time detection of grain moisture content in harvesting machinery, the method comprising the following steps:

[0065] S1: Perform a first curve fitting on the grain harvested by the harvesting machinery;

[0066] In this embodiment of the application, the first curve fitting of the harvested grain in the harvesting machinery includes the following steps:

[0067] The grain is loaded into the lifting platform of the harvesting machinery;

[0068] Obtain the first humidity setting value of the grain harvested by the harvesting machinery;

[0069] Set the elevator operating speed from low to high;

[0070] The first moisture content and flow rate of the grain harvested by the harvesting machinery are detected.

[0071] The first curve fitting is performed on the harvesting machinery grain based on the first humidity setting value, the first humidity detection value, and the flow rate detection value.

[0072] Specifically, crops (grain for harvesting machinery) with a fixed humidity (i.e., the first humidity set value) are loaded into the lifting platform of the harvesting machinery. The speed of the lifting device is set to n levels from low to high. The first humidity detection value and flow rate detection value of different groups of grain in the harvesting machinery can be detected. Then, the first curve fitting is performed on the grain for harvesting machinery based on the first humidity set value, the first humidity detection value, and the flow rate detection value. The curve fitting adopts the linear fitting method.

[0073] S2: Obtain the first humidity setpoint, the first humidity detection value, and the flow detection value from the first curve fitting;

[0074] Specifically, the first humidity setpoint, the first humidity detection value, and the flow rate detection value in the first curve fitting can be obtained by sensors installed in the harvesting machinery.

[0075] S3: Obtain a humidity-flow fitting formula based on the first humidity setpoint, the first humidity detection value, and the flow detection value;

[0076] In this embodiment of the application, the expression for the humidity-flow fitting formula is:

[0077] S 设1 =S 检1 +k1*L;

[0078] Among them, S 设1 Indicates the first humidity setting value, S 检1 The first humidity reading is represented by k1, the flow rate correction factor is represented by k1, and the flow rate reading is represented by L.

[0079] Specifically, after the fitting operation in step S1, the flow correction coefficient k1 can be calculated.

[0080] S4: Perform a second curve fitting on the grain harvested by the harvesting machinery;

[0081] In this embodiment of the application, the step of performing a second curve fitting on the grain harvested by the harvesting machinery includes the following steps:

[0082] The grain is loaded into the lifting platform of the harvesting machinery;

[0083] Obtain the second humidity setting value of the grain harvested by the harvesting machinery;

[0084] Set the elevator operating temperature from low to high;

[0085] The second humidity and temperature values ​​of the grain harvested by the harvesting machinery are detected.

[0086] A second curve fitting is performed on the harvesting machinery grain based on the second humidity setting value, the second humidity detection value, and the temperature detection value.

[0087] Specifically, crops with a fixed humidity (second humidity setpoint) are loaded into the lifting platform, and the temperature of the crops is set to m levels from low to high. The second humidity and temperature detection values ​​of different groups of grain in the harvesting machinery can be detected. Then, based on the second humidity setpoint, the second humidity detection value, and the temperature detection value, a second curve fitting is performed on the grain in the harvesting machinery. The curve fitting adopts a linear fitting method.

[0088] S6: Obtain the second humidity setpoint, second humidity detection value, and temperature detection value from the second curve fitting;

[0089] Specifically, the second humidity setpoint, second humidity detection value, and temperature detection value in the second curve fitting can be obtained by sensors installed in the harvesting machinery.

[0090] S7: Obtain a humidity-temperature fitting formula based on the second humidity setpoint, the second humidity detection value, and the temperature detection value;

[0091] In this embodiment of the application, the expression for the humidity-temperature fitting formula is:

[0092] S 设2 =S 检2 +k2*T;

[0093] Among them, S 设2 Indicates the second humidity setting value, S 检2 The value represents the second humidity reading, k2 represents the temperature correction factor, and T represents the temperature reading.

[0094] Specifically, after the fitting operation in step S4, the temperature correction coefficient k2 can be calculated.

[0095] S8: Obtain the real-time humidity detection value, real-time flow detection value, and real-time temperature detection value of the grain harvested by the harvesting machinery;

[0096] Specifically, real-time humidity, real-time flow rate, and real-time temperature can be detected using sensors installed in the harvesting machinery.

[0097] S9: Calculate the actual humidity of the grain harvested by the harvesting machinery based on the humidity-flow fitting formula, the humidity-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value.

[0098] In this embodiment of the application, the step of calculating the actual humidity of the grain harvested by the machinery based on the humidity-flow fitting formula, the humidity-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value includes the following steps:

[0099] Obtain the flow correction coefficient in the humidity-flow fitting formula;

[0100] Obtain the temperature correction coefficient in the humidity-temperature fitting formula;

[0101] Obtain the humidity-flow-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value;

[0102] The actual humidity is calculated based on the flow correction coefficient, the temperature correction coefficient, the humidity-flow-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value.

[0103] Specifically, after the flow correction coefficient k1 and temperature correction coefficient k2 are obtained through fitting, the real-time humidity detection value, real-time flow detection value and real-time temperature detection value are obtained by the sensors set in the harvesting machinery. The actual humidity can be obtained by substituting the corresponding values ​​into the humidity-flow-temperature fitting formula.

[0104] In this embodiment of the application, the expression for the humidity-flow-temperature fitting formula is:

[0105] S = S 检 +k1*L+k2*T;

[0106] Where S represents the actual humidity, S 检 The value represents the real-time humidity reading, k1 represents the flow rate correction factor, k2 represents the temperature correction factor, L represents the flow rate reading, and T represents the temperature reading.

[0107] like Figure 2 This application provides a real-time grain moisture detection device for harvesting machinery, comprising:

[0108] The first curve fitting module 10 is used to perform a first curve fitting on the grain of the harvesting machinery.

[0109] The first acquisition module 20 is used to acquire the first humidity set value, the first humidity detection value, and the flow detection value in the first curve fitting.

[0110] Humidity-flow fitting formula fitting module 30 is used to fit a humidity-flow fitting formula based on the first humidity set value, the first humidity detection value and the flow detection value.

[0111] The second curve fitting module 40 is used to perform a second curve fitting on the grain harvested by the harvesting machinery.

[0112] The second acquisition module 50 is used to acquire the second humidity setting value, the second humidity detection value, and the temperature detection value in the second curve fitting.

[0113] Humidity and temperature fitting formula fitting module 60 is used to fit a humidity and temperature fitting formula based on the second humidity setting value, the second humidity detection value and the temperature detection value.

[0114] The third acquisition module 70 is used to acquire the real-time humidity detection value, real-time flow detection value and real-time temperature detection value of the grain harvested by the harvesting machinery;

[0115] The actual humidity calculation module 80 is used to calculate the actual humidity of the grain harvested by the harvesting machinery based on the humidity-flow fitting formula, the humidity-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value.

[0116] The real-time grain moisture detection device for harvesting machinery provided in this application can perform the real-time grain moisture detection method for harvesting machinery provided in the above steps.

[0117] It should be understood that the specific embodiments described above are merely illustrative or explanatory of the principles of the invention and do not constitute a limitation thereof. Therefore, any modifications, equivalent substitutions, improvements, etc., made without departing from the spirit and scope of the invention should be included within the protection scope of the invention. Furthermore, the appended claims are intended to cover all variations and modifications falling within the scope and boundaries of the appended claims, or equivalent forms of such scope and boundaries.

[0118] The following is for reference. Figure 3The diagram illustrates a structural schematic of an electronic device 100 suitable for implementing embodiments of the present disclosure. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 3 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments disclosed herein.

[0119] like Figure 3 As shown, the electronic device 100 may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 101, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 102 or a program loaded from a storage device 108 into a random access memory (RAM) 103. The RAM 103 also stores various programs and data required for the operation of the electronic device 100. The processing unit 101, ROM 102, and RAM 103 are interconnected via a bus 104. An input / output (I / O) interface 105 is also connected to the bus 104.

[0120] Typically, the following devices can be connected to I / O interface 105: input devices 106 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 107 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 108 including, for example, magnetic tapes, hard disks, etc.; and communication devices 109. Communication device 109 allows electronic device 100 to communicate wirelessly or wiredly with other devices to exchange data. Although electronic device 100 with various devices is shown in the figure, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively.

[0121] In particular, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication device 109, or installed from storage device 108, or installed from ROM 102. When the computer program is executed by processing device 101, it performs the functions defined in the methods of embodiments of this disclosure.

[0122] The following is for reference. Figure 4The diagram illustrates a computer-readable storage medium suitable for implementing embodiments of the present disclosure, the computer-readable storage medium storing a computer program that, when executed by a processor, enables the implementation of a real-time grain moisture detection method for harvesting machinery as described above.

[0123] The embodiments of this application provide a method, device and storage medium for real-time detection of grain moisture in harvesting machinery. It provides a simple and effective algorithm that can significantly improve the detection accuracy of the humidity sensor, and has low computational cost without increasing excessive software and hardware expenses.

[0124] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0125] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for real-time detection of grain moisture content in harvesting machinery, characterized in that, The method includes the following steps: A first curve fitting is performed on the grain harvested by the harvesting machinery. Obtain the first humidity setpoint, the first humidity detection value, and the flow rate detection value from the first curve fitting; A humidity-flow fitting formula is obtained by fitting the first humidity setpoint, the first humidity detection value, and the flow rate detection value. A second curve fitting is performed on the grain harvested by the harvesting machinery. Obtain the second humidity setpoint, the second humidity detection value, and the temperature detection value from the second curve fitting; A humidity-temperature fitting formula is obtained by fitting the second humidity setpoint, the second humidity detection value, and the temperature detection value. The real-time humidity, flow rate, and temperature of the grain harvested by the harvesting machinery are obtained. The actual humidity of the grain harvested by the harvesting machinery is calculated based on the humidity-flow fitting formula, the humidity-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value. The first curve fitting of the harvested grain in the harvesting machinery includes the following steps: The grain is loaded into the lifting platform of the harvesting machinery; Obtain the first humidity setting value of the grain harvested by the harvesting machinery; Set the elevator operating speed from low to high; The first moisture content and flow rate of the grain harvested by the harvesting machinery are detected. A first curve fitting is performed on the grain harvested by the harvesting machinery based on the first humidity set value, the first humidity detection value, and the flow rate detection value. The second curve fitting of the harvested grain in the harvesting machinery includes the following steps: The grain is loaded into the lifting platform of the harvesting machinery; Obtain the second humidity setting value of the grain harvested by the harvesting machinery; Set the elevator operating temperature from low to high; The second humidity and temperature values ​​of the grain harvested by the harvesting machinery are detected. A second curve fitting is performed on the harvesting machinery grain based on the second humidity setting value, the second humidity detection value, and the temperature detection value.

2. The method for real-time detection of grain moisture in harvesting machinery according to claim 1, characterized in that, The expression for the humidity flow rate fitting formula is: ； in, This indicates the first humidity setting value. This indicates the first humidity reading. This represents the flow correction factor. This represents the flow rate detection value.

3. The method for real-time detection of grain moisture in harvesting machinery according to claim 1, characterized in that, The expression for the humidity-temperature fitting formula is: ； in, This indicates the second humidity setting value. This indicates the second humidity reading. This represents the temperature correction factor. This indicates the temperature reading.

4. The method for real-time detection of grain moisture in harvesting machinery according to claim 1, characterized in that, The step of calculating the actual humidity of the grain harvested by the machinery based on the humidity-flow fitting formula, the humidity-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value includes the following steps: Obtain the flow correction coefficient in the humidity-flow fitting formula; Obtain the temperature correction coefficient in the humidity-temperature fitting formula; Obtain the humidity-flow-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value; The actual humidity is calculated based on the flow correction coefficient, the temperature correction coefficient, the humidity-flow-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value.

5. The method for real-time detection of grain moisture in harvesting machinery according to claim 4, characterized in that, The expression for the humidity-flow-temperature fitting formula is: ； in, Indicates actual humidity. This indicates the real-time humidity reading. This represents the flow correction factor. This represents the temperature correction factor. This represents the flow rate detection value. This indicates the temperature reading.

6. A real-time grain moisture detection device for harvesting machinery used in the method of any one of claims 1-5, characterized in that, include: The first curve fitting module is used to perform a first curve fitting on the grain in the harvesting machinery. The first acquisition module is used to acquire the first humidity setpoint, the first humidity detection value, and the flow detection value in the first curve fitting. The humidity-flow fitting formula fitting module is used to fit a humidity-flow fitting formula based on the first humidity set value, the first humidity detection value, and the flow detection value. The second curve fitting module is used to perform a second curve fitting on the grain harvested by the harvesting machinery. The second acquisition module is used to acquire the second humidity setting value, the second humidity detection value, and the temperature detection value in the second curve fitting. The humidity and temperature fitting formula fitting module is used to fit a humidity and temperature fitting formula based on the second humidity set value, the second humidity detection value and the temperature detection value. The third acquisition module is used to acquire the real-time humidity detection value, real-time flow detection value, and real-time temperature detection value of the grain harvested by the harvesting machinery; The actual humidity calculation module is used to calculate the actual humidity of the grain harvested by the harvesting machinery based on the humidity-flow fitting formula, the humidity-temperature fitting formula, the real-time humidity detection value, the real-time flow detection value, and the real-time temperature detection value.

7. An electronic device, characterized in that, The electronic device includes: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the real-time grain moisture detection method for harvesting machinery as described in any of claims 1-5.

8. A non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the real-time grain moisture detection method for harvesting machinery as described in any one of claims 1-5.

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