CN116256479A - Method and device for detecting grain humidity of harvesting machine in real time and storage medium - Google Patents
Method and device for detecting grain humidity of harvesting machine in real time and storage medium Download PDFInfo
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Abstract
The application relates to a method and a device for detecting grain humidity of a harvesting machine in real time and a storage medium, wherein the method comprises the following steps: performing a first curve fit in a harvesting machine on the harvesting machine grain; acquiring a first humidity set value, a first humidity detection value and a flow detection value in the first curve fitting; fitting according to the first humidity set value, the first humidity detection value and the flow detection value to obtain a humidity flow fitting formula; performing a second curve fit on the harvesting machine grain in the harvesting machine; and obtaining a second humidity set value, a second humidity detection value and a temperature detection value in the second curve fitting. The method, the device and the storage medium for detecting the grain humidity of the harvesting machine in real time provide a simple and effective algorithm, can greatly improve the detection precision of the humidity sensor, and are low in operation cost without increasing excessive software and hardware expenses.
Description
Technical Field
The application relates to the field of harvesting machinery, in particular to a method and a device for detecting grain humidity of harvesting machinery in real time and a storage medium.
Background
The generation of the map of the harvesting machine is not separated from the real-time detection of the yield, the real-time detection of the yield is not separated from the real-time detection of the humidity of the harvested crops, and the map of the yield can be drawn according to the real-time humidity, the real-time yield and the geographical position information of the operation, so that the map can provide basis for the accurate operation of cultivation and management such as sowing, fertilization, pesticide spraying and irrigation in the next quarter. Therefore, the accuracy of detecting the real-time humidity of the harvested crops is very important.
The existing real-time humidity detection device for harvested crops is installed at the position of an elevating auger or at the inner side of the auger to detect the humidity value of passing grains, or a sampling port is formed at the outer side of the elevating auger, and a detected sample is taken out from the elevating auger through the sampling port to detect the humidity. However, this method has the following disadvantages: (1) The detection value of a sensor arranged on the inner side of the lifting auger is greatly influenced by the flow of crops transported in the auger, and if the flow is increased, the detected humidity value is increased; otherwise, the number is reduced; (2) The detection value sampled by the sampling chamber at the outer side of the lifting auger is stable, but the real-time performance is quite poor, and the drawing of a real-time map is not facilitated.
Disclosure of Invention
In order to solve the technical problems or at least partially solve the technical problems, the application provides a method and a device for detecting grain humidity of a harvesting machine in real time and a storage medium.
In a first aspect, the present application provides a method for detecting grain humidity of a harvesting machine in real time, the method comprising the steps of:
performing a first curve fit in a harvesting machine on the harvesting machine grain;
acquiring a first humidity set value, a first humidity detection value and a flow detection value in the first curve fitting;
fitting according to the first humidity set value, the first humidity detection value and the flow detection value to obtain a humidity flow fitting formula;
performing a second curve fit on the harvesting machine grain in the harvesting machine;
acquiring a second humidity set value, a second humidity detection value and a temperature detection value in the second curve fitting;
fitting according to the second humidity set value, the second humidity detection value and the temperature detection value to obtain a humidity temperature fitting formula;
acquiring a real-time humidity detection value, a real-time flow detection value and a real-time temperature detection value of the grain of the harvesting machine;
and calculating the actual humidity of the grain of the harvesting machinery according to 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.
Preferably, said first curve fitting in the harvesting machine of said harvesting machine grain comprises the steps of:
loading harvesting machinery grain onto an elevating rack of the harvesting machinery;
acquiring a first humidity set value of the grain of the harvesting machine;
setting the working speed of the elevator from low to high;
detecting a first humidity detection value and a flow detection value of the grain of the harvesting machine;
and performing first curve fitting on the grain of the harvesting machinery according to the first humidity set value, the first humidity detection value and the flow detection value.
Preferably, the expression of the humidity flow fitting formula is:
S set 1 ＝S Inspection 1 +k 1 *L；
Wherein S is Set 1 Indicating a first humidity set point S Inspection 1 Represents a first humidity detection value, k 1 The flow correction coefficient is represented, and L represents the flow detection value.
Preferably, said performing a second curve fit in said harvesting machine on said harvesting machine grain comprises the steps of:
loading harvesting machinery grain onto an elevating rack of the harvesting machinery;
acquiring a second humidity set value of the grain of the harvesting machine;
setting the working temperature of the elevator from low to high;
detecting a second humidity detection value and a temperature detection value of the grain of the harvesting machine;
and performing a second curve fitting on the grain of the harvesting machine according to the second humidity set value, the second humidity detection value and the temperature detection value.
Preferably, the expression of the humidity temperature fitting formula is:
S set 2 ＝S Inspection 2 +k 2 *T；
Wherein S is Set 2 Represents a second humidity set point S Inspection 2 Representing a second humidity detection value, k 2 The temperature correction coefficient is represented, and T represents a temperature detection value.
Preferably, the calculating the actual humidity of the grain of the harvesting machine according to 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 steps of:
acquiring a flow correction coefficient in the humidity flow fitting formula;
acquiring a temperature correction coefficient in the humidity temperature fitting formula;
acquiring a humidity flow temperature fitting formula, the real-time humidity detection value, the real-time flow detection value and the real-time temperature detection value;
and calculating the actual humidity according to 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.
Preferably, the expression of the humidity flow temperature fitting formula is:
S＝S inspection and detection +k 1 *L+k 2 *T；
Wherein S represents the actual humidity, S Inspection and detection Representing real-time humidity detection value, k 1 Represents the flow correction coefficient, k 2 The temperature correction coefficient is represented by L, the flow rate detection value is represented by L, and the temperature detection value is represented by T.
In a second aspect, the present application provides a grain humidity real-time detection device for a harvesting machine, comprising:
a first curve fitting module for performing a first curve fitting in a harvesting machine for the grain of the harvesting machine;
the first acquisition module is used for acquiring a first humidity set value, a first humidity detection value and a flow detection value in the first curve fitting;
the humidity and flow fitting formula fitting module is used for fitting according to the first humidity set value, the first humidity detection value and the flow detection value to obtain a humidity and flow fitting formula;
a second curve fitting module for performing a second curve fit on the harvesting machine grain in the harvesting machine;
the second acquisition module is used for acquiring a second humidity set value, a second humidity detection value and a temperature detection value in the second curve fitting;
the humidity temperature fitting formula fitting module is used for fitting according to the second humidity set value, the second humidity detection value and the temperature detection value to obtain a humidity temperature fitting formula;
the third acquisition module is used for acquiring a real-time humidity detection value, a real-time flow detection value and a real-time temperature detection value of the grain of the harvesting machinery;
the actual humidity calculation module is used for calculating the actual humidity of the grain of the harvesting machine according to 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.
In a third aspect, an electronic device is provided, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any of the aforementioned methods of detecting grain humidity of the harvesting machine in real time.
In a fourth aspect, there is provided a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform any of the aforementioned harvest machinery grain humidity real-time detection methods.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
the method, the device and the storage medium for detecting the grain humidity of the harvesting machine in real time provide a simple and effective algorithm, can greatly improve the detection precision of the humidity sensor, and are low in operation cost without increasing excessive software and hardware expenses.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a schematic flow chart of a method for detecting grain humidity of a harvesting machine in real time according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a grain humidity real-time detection device of a harvesting machine according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to the present invention;
fig. 4 is a schematic structural diagram of a non-transitory computer readable storage medium according to the present invention.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.
Fig. 1 is a schematic flow chart of a method for detecting grain humidity of a harvesting machine in real time according to an embodiment of the present application.
The application provides a method for detecting grain humidity of harvesting machinery in real time, which comprises the following steps:
s1: performing a first curve fit in a harvesting machine on the harvesting machine grain;
in an embodiment of the present application, the performing a first curve fit on the grain of the harvesting machine in the harvesting machine includes the steps of:
loading harvesting machinery grain onto an elevating rack of the harvesting machinery;
acquiring a first humidity set value of the grain of the harvesting machine;
setting the working speed of the elevator from low to high;
detecting a first humidity detection value and a flow detection value of the grain of the harvesting machine;
and performing first curve fitting on the grain of the harvesting machinery according to the first humidity set value, the first humidity detection value and the flow detection value.
Specifically, crops (grain of the harvesting machine) with fixed humidity (namely a first humidity set value) are loaded into an elevating platform of the harvesting machine, the speed of the elevating platform is set to n steps from low to high, different groups of first humidity detection values and flow detection values in the grain of the harvesting machine can be detected and obtained, then first curve fitting is carried out on the grain of the harvesting machine according to the first humidity set value, the first humidity detection values and the flow detection values, and the curve fitting adopts a linear fitting mode.
S2: acquiring a first humidity set value, a first humidity detection value and a flow detection value in the first curve fitting;
specifically, the first humidity set point, the first humidity detection value and the flow detection value in the first curve fitting can be detected by using a sensor arranged in the harvesting machine.
S3: fitting according to the first humidity set value, the first humidity detection value and the flow detection value to obtain a humidity flow fitting formula;
in this embodiment of the present application, the expression of the humidity flow fitting formula is:
S set 1 ＝S Inspection 1 +k 1 *L；
Wherein S is Set 1 Indicating a first humidity set point S Inspection 1 Represents a first humidity detection value, k 1 The flow correction coefficient is represented, and L represents the flow detection value.
Specifically, after the fitting operation in step S1, the flow correction coefficient k may be calculated 1 。
S4: performing a second curve fit on the harvesting machine grain in the harvesting machine;
in an embodiment of the present application, the performing a second curve fit on the grain of the harvesting machine in the harvesting machine includes the steps of:
loading harvesting machinery grain onto an elevating rack of the harvesting machinery;
acquiring a second humidity set value of the grain of the harvesting machine;
setting the working temperature of the elevator from low to high;
detecting a second humidity detection value and a temperature detection value of the grain of the harvesting machine;
and performing a second curve fitting on the grain of the harvesting machine according to the second humidity set value, the second humidity detection value and the temperature detection value.
Specifically, the crops with fixed humidity (second humidity set value) are loaded into the lifting bench, the temperature of the crops is set to m grades from low to high, different groups of second humidity detection values and temperature detection values in the grains of the harvesting machinery can be detected, then second curve fitting is carried out on the grains of the harvesting machinery according to the second humidity set value, the second humidity detection values and the temperature detection values, and the curve fitting adopts a linear fitting mode.
S6: acquiring a second humidity set value, a second humidity detection value and a temperature detection value in the second curve fitting;
specifically, the second humidity set point, the second humidity detection value and the temperature detection value in the second curve fitting may be detected by using a sensor provided in the harvesting machine.
S7: fitting according to the second humidity set value, the second humidity detection value and the temperature detection value to obtain a humidity temperature fitting formula;
in this embodiment of the present application, the expression of the humidity temperature fitting formula is:
S set 2 ＝S Inspection 2 +k 2 *T；
Wherein S is Set 2 Represents a second humidity set point S Inspection 2 Representing a second humidity detection value, k 2 The temperature correction coefficient is represented, and T represents a temperature detection value.
Specifically, after the fitting operation in step S4, the temperature correction coefficient k may be calculated 2 。
S8: acquiring a real-time humidity detection value, a real-time flow detection value and a real-time temperature detection value of the grain of the harvesting machine;
specifically, the real-time humidity detection value, the real-time flow detection value and the real-time temperature detection value can be detected by using sensors arranged in the harvesting machine.
S9: and calculating the actual humidity of the grain of the harvesting machinery according to 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.
In this embodiment of the present application, the calculating the actual humidity of the grain of the harvesting machine according to 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 steps of:
acquiring a flow correction coefficient in the humidity flow fitting formula;
acquiring a temperature correction coefficient in the humidity temperature fitting formula;
acquiring a humidity flow temperature fitting formula, the real-time humidity detection value, the real-time flow detection value and the real-time temperature detection value;
and calculating the actual humidity according to 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.
Specifically, when fitting to obtain the flow correction coefficient k 1 And a temperature correction coefficient k 2 And detecting by a sensor arranged in the harvesting machine to obtain a real-time humidity detection value, a real-time flow detection value and a real-time temperature detection value, and substituting corresponding values into a humidity flow temperature fitting formula to obtain the actual humidity.
In this embodiment of the present application, the expression of the humidity flow rate and temperature fitting formula is:
S＝S inspection and detection +k 1 *L+k 2 *T；
Wherein S represents the actual humidity, S Inspection and detection Representing real-time humidity detection value, k 1 Represents the flow correction coefficient, k 2 The temperature correction coefficient is represented by L, the flow rate detection value is represented by L, and the temperature detection value is represented by T.
As shown in fig. 2, the present application provides a grain humidity real-time detection device of a harvesting machine, comprising:
a first curve fitting module 10 for performing a first curve fit in a harvesting machine on the harvesting machine grain;
a first obtaining module 20, configured to obtain a first humidity set value, a first humidity detection value, and a flow detection value in the first curve fitting;
the humidity and flow fitting formula fitting module 30 is configured to obtain a humidity and flow fitting formula according to the first humidity set value, the first humidity detection value and the flow detection value;
a second curve fitting module 40 for performing a second curve fit in the harvesting machine for the harvesting machine grain;
a second obtaining module 50, configured to obtain a second humidity set value, a second humidity detection value, and a temperature detection value in the second curve fitting;
a humidity temperature fitting formula fitting module 60, configured to obtain a humidity temperature fitting formula according to the second humidity set value, the second humidity detection value, and the temperature detection value;
a third obtaining module 70, configured to obtain a real-time humidity detection value, a real-time flow detection value, and a real-time temperature detection value of the grain of the harvesting machine;
the actual humidity calculation module 80 is configured to calculate the actual humidity of the grain of the harvesting machine according to 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 grain humidity real-time detection device for the harvesting machinery can execute the grain humidity real-time detection method for the harvesting machinery.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explanation of the principles of the present invention and are in no way limiting of the invention. Accordingly, any modification, equivalent replacement, improvement, etc. made without departing from the spirit and scope of the present invention should be included in the scope of the present invention. Furthermore, the appended claims are intended to cover all such changes and modifications that fall within the scope and boundary of the appended claims, or equivalents of such scope and boundary.
Referring now to fig. 3, a schematic diagram of an electronic device 100 suitable for use in implementing embodiments of the present disclosure is shown. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.
As shown in fig. 3, the electronic device 100 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 101 that may 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 means 108 into a Random Access Memory (RAM) 103. In the RAM 103, various programs and data necessary for the operation of the electronic apparatus 100 are also stored. The processing device 101, ROM 102, and RAM 103 are connected to each other by a bus 104. An input/output (I/O) interface 105 is also connected to bus 104.
In general, the following devices may be connected to the I/O interface 105: input devices 106 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; an output device 107 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 108 including, for example, magnetic tape, hard disk, etc.; and a communication device 109. The communication means 109 may allow the electronic device 100 to communicate wirelessly or by wire with other devices to exchange data. While an electronic device 100 having various means is shown in the figures, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 109, or from the storage means 108, or from the ROM 102. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 101.
Referring now to fig. 4, there is illustrated a schematic diagram of a computer readable storage medium suitable for use in implementing embodiments of the present disclosure, the computer readable storage medium storing a computer program which, when executed by a processor, is capable of implementing a method of real-time detection of grain humidity in a harvesting machine as described in any one of the above.
The method, the device and the storage medium for detecting the grain humidity of the harvesting machine in real time provide a simple and effective algorithm, can greatly improve the detection precision of the humidity sensor, and are low in operation cost without increasing excessive software and hardware expenses.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for detecting grain humidity of a harvesting machine in real time, which is characterized by comprising the following steps:
performing a first curve fit in a harvesting machine on the harvesting machine grain;
acquiring a first humidity set value, a first humidity detection value and a flow detection value in the first curve fitting;
fitting according to the first humidity set value, the first humidity detection value and the flow detection value to obtain a humidity flow fitting formula;
performing a second curve fit on the harvesting machine grain in the harvesting machine;
acquiring a second humidity set value, a second humidity detection value and a temperature detection value in the second curve fitting;
fitting according to the second humidity set value, the second humidity detection value and the temperature detection value to obtain a humidity temperature fitting formula;
acquiring a real-time humidity detection value, a real-time flow detection value and a real-time temperature detection value of the grain of the harvesting machine;
and calculating the actual humidity of the grain of the harvesting machinery according to 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.
2. The method for real-time detection of grain humidity in a harvesting machine according to claim 1, wherein said performing a first curve fit on said harvesting machine grain in the harvesting machine comprises the steps of:
loading harvesting machinery grain onto an elevating rack of the harvesting machinery;
acquiring a first humidity set value of the grain of the harvesting machine;
setting the working speed of the elevator from low to high;
detecting a first humidity detection value and a flow detection value of the grain of the harvesting machine;
and performing first curve fitting on the grain of the harvesting machinery according to the first humidity set value, the first humidity detection value and the flow detection value.
3. The method for detecting grain humidity of harvesting machinery in real time according to claim 1, wherein the expression of the humidity flow fitting formula is:
S set 1 ＝S Inspection 1 +k 1 *L；
Wherein S is Set 1 Indicating a first humidity set point S Inspection 1 Represents a first humidity detection value, k 1 The flow correction coefficient is represented, and L represents the flow detection value.
4. The method for real-time detection of grain humidity in a harvesting machine of claim 1, wherein said performing a second curve fit on said harvesting machine grain in said harvesting machine comprises the steps of:
loading harvesting machinery grain onto an elevating rack of the harvesting machinery;
acquiring a second humidity set value of the grain of the harvesting machine;
setting the working temperature of the elevator from low to high;
detecting a second humidity detection value and a temperature detection value of the grain of the harvesting machine;
and performing a second curve fitting on the grain of the harvesting machine according to the second humidity set value, the second humidity detection value and the temperature detection value.
5. The method for detecting grain humidity of harvesting machinery in real time according to claim 1, wherein the expression of the humidity temperature fitting formula is:
S set 2 ＝S Inspection 2 +k 2 *T；
Wherein S is Set 2 Represents a second humidity set point S Inspection 2 Representing a second humidity detection value, k 2 The temperature correction coefficient is represented, and T represents a temperature detection value.
6. The method for real-time detection of grain humidity in a harvesting machine according to claim 1, wherein said calculating the actual humidity of the grain in the harvesting machine according to 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 comprises the steps of:
acquiring a flow correction coefficient in the humidity flow fitting formula;
acquiring a temperature correction coefficient in the humidity temperature fitting formula;
acquiring a humidity flow temperature fitting formula, the real-time humidity detection value, the real-time flow detection value and the real-time temperature detection value;
and calculating the actual humidity according to 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.
7. The method for detecting grain humidity in real time according to claim 6, wherein the expression of the humidity flow rate temperature fitting formula is:
S＝S inspection and detection +k 1 *L+k 2 *T；
Wherein S represents the actual humidity, S Inspection and detection Representing real-time humidity detection value, k 1 Represents the flow correction coefficient, k 2 The temperature correction coefficient is represented by L, the flow rate detection value is represented by L, and the temperature detection value is represented by T.
8. The utility model provides a harvester grain humidity real-time detection device which characterized in that includes:
a first curve fitting module for performing a first curve fitting in a harvesting machine for the grain of the harvesting machine;
the first acquisition module is used for acquiring a first humidity set value, a first humidity detection value and a flow detection value in the first curve fitting;
the humidity and flow fitting formula fitting module is used for fitting according to the first humidity set value, the first humidity detection value and the flow detection value to obtain a humidity and flow fitting formula;
a second curve fitting module for performing a second curve fit on the harvesting machine grain in the harvesting machine;
the second acquisition module is used for acquiring a second humidity set value, a second humidity detection value and a temperature detection value in the second curve fitting;
the humidity temperature fitting formula fitting module is used for fitting according to the second humidity set value, the second humidity detection value and the temperature detection value to obtain a humidity temperature fitting formula;
the third acquisition module is used for acquiring a real-time humidity detection value, a real-time flow detection value and a real-time temperature detection value of the grain of the harvesting machinery;
the actual humidity calculation module is used for calculating the actual humidity of the grain of the harvesting machine according to 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.
9. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of real-time detection of grain humidity in a harvesting machine according to any one of the preceding claims 1-7.
10. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the harvest machinery grain humidity real-time detection method of any one of the preceding claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202310242100.4A CN116256479A (en) | 2023-03-14 | 2023-03-14 | Method and device for detecting grain humidity of harvesting machine in real time and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310242100.4A CN116256479A (en) | 2023-03-14 | 2023-03-14 | Method and device for detecting grain humidity of harvesting machine in real time and storage medium |
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| CN116256479A true CN116256479A (en) | 2023-06-13 |
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| CN202310242100.4A Pending CN116256479A (en) | 2023-03-14 | 2023-03-14 | Method and device for detecting grain humidity of harvesting machine in real time and storage medium |
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