Methods, devices, equipment, media, and harvesters for detecting cleaning losses in harvesters.

Abstract

The present application relates to a kind of harvester cleaning loss detection method, device, equipment, medium and harvester, it relates to the technical field of harvester, its method includes: obtaining the loss detection device of harvester and the fan corresponding to the current speed of loss detection device collection cleaning loss grain number, the cleaning loss grain number is the loss grain number of the detection area corresponding to the loss detection device detected by characterizing;Based on the corresponding relationship between different speed and different loss coefficient, obtain the current loss coefficient corresponding to the current speed;Based on the cleaning loss grain number and the current loss coefficient, obtain the cleaning loss total grain number of the overall area corresponding to the harvester, the overall area is the working area of the harvester.This application reduces the influence of loss coefficient misalignment caused by different wind speed and other factors of fan, improves the objective authenticity of cleaning loss detection result.

Description

Technical Field

[0001] This invention relates to the technical field of harvesters, and in particular to harvester cleaning loss detection methods, devices, equipment, media, and harvesters. Background Technology

[0002] In modern agricultural production, harvesting machinery plays a crucial role, its performance directly affecting the harvesting efficiency and quality of crops. With continuous technological advancements, loss detection in harvesting machinery has become an indispensable core technology. Loss detection refers to the technology of real-time monitoring and measurement of crop grain losses during harvesting, cleaning, and other stages of the harvesting process. By detecting the losses incurred by harvesting machinery, operators and managers can understand the machinery's performance, adjust operating strategies promptly, and reduce unnecessary losses.

[0003] In current grain harvesters, cleaning loss can be detected by a loss detection device installed at the tail screen. The tail screen is a crucial component of the harvester used for separating and cleaning crop grains, and the loss detection device installed at the tail screen can directly monitor the grain loss after cleaning. Based on the local grain loss detected by the tail screen loss detection device, combined with empirical coefficients derived from experimental data and practical experience, the local loss can be converted into the total loss of the harvester, thereby estimating the overall grain loss during the entire harvesting process.

[0004] However, in practical applications, this technology requires continuous experimentation to obtain as many empirical coefficients as possible, making the operation quite cumbersome. Furthermore, the operators of grain harvesters need to calibrate the empirical coefficients themselves, which reduces the objectivity and accuracy of cleaning loss detection. Summary of the Invention

[0005] In order to reduce the operational difficulty of harvester operators and improve the objectivity and authenticity of cleaning loss detection results, this application provides a harvester cleaning loss detection method, device, equipment, medium, and harvester.

[0006] In a first aspect, this application provides a method for detecting cleaning losses in a harvester, comprising:

[0007] The number of grains lost during cleaning is collected by the loss detection device of the harvester, and the current rotation speed of the blower corresponding to the loss detection device is obtained. The number of grains lost during cleaning is the number of grains lost in the detection area corresponding to the loss detection device.

[0008] Based on the correspondence between different rotational speeds and different loss coefficients, the current loss coefficient corresponding to the current rotational speed is obtained;

[0009] Based on the number of grains lost during cleaning and the current loss coefficient, the total number of grains lost during cleaning in the overall area corresponding to the harvester is obtained, where the overall area is the working area of ​​the harvester.

[0010] The beneficial effects of this invention are as follows: By using a preset correspondence, the loss coefficient is automatically adjusted according to different fan speeds. By combining the number of grains lost during cleaning with the corresponding loss coefficient, the cleaning loss situation in the detection area can be converted into the total number of grains lost during cleaning, reflecting the overall cleaning loss situation of the entire area. This reduces the impact of inaccurate loss coefficients caused by factors such as different fan speeds, improves the objectivity and authenticity of cleaning loss detection results, improves the accuracy of estimating the weight of the total grains lost during cleaning, and is easy for harvester operators to operate, reducing the operational difficulty for harvester operators.

[0011] Furthermore, the method for constructing the correspondence includes:

[0012] The weight of the first cleaned sample is obtained when the rotation speed of the fan corresponding to the harvester is the first reference speed, and the reference coefficient corresponding to the first reference speed is obtained. The weight of the first cleaned sample is a characterization of the actual total weight of grains lost during cleaning in the whole area at the first reference speed.

[0013] The second clean sample weighing weight is obtained when the fan speed is the second reference speed, the second reference speed is greater than the first reference speed, and the second clean sample weighing weight is the weight of the total grains lost during cleaning corresponding to the whole area at the second reference speed.

[0014] The corresponding relationship is constructed based on the first reference rotation speed, the first clean sample weighing weight, the first reference coefficient, the second reference rotation speed, and the second clean sample weighing weight.

[0015] The beneficial effect of adopting the above-mentioned further scheme is that by constructing a correspondence between the first reference rotation speed, the first clean sample weighing weight, the first reference coefficient, the second reference rotation speed, and the second clean sample weighing weight, the accuracy of the correspondence is improved.

[0016] Furthermore, the first reference speed is the lowest speed of the fan, and the second reference speed is the highest speed of the fan.

[0017] The beneficial effects of adopting the above-mentioned further scheme are: the loss coefficient obtained at the lowest speed has high stability and accuracy; using the coefficient corresponding to the lowest speed as the benchmark coefficient improves the accuracy of subsequent correspondences. The lowest and highest speeds within the allowable speed range of the wind turbine represent the two extreme conditions of the wind turbine's operating range. Calibrating the correspondence under these two extreme conditions ensures that changes in the loss coefficient can be reasonably reflected through the correspondence across the entire speed range of the wind turbine, and can more accurately capture the variation of the loss coefficient with speed.

[0018] Furthermore, obtaining the reference coefficient corresponding to the first reference speed includes:

[0019] Obtain the thousand-grain weight parameter corresponding to the current crop being cleaned and the number of grains lost during cleaning corresponding to the first reference rotation speed. The thousand-grain weight parameter is a parameter that characterizes the relationship between the number of grains and their weight.

[0020] The benchmark coefficient is determined based on the weight of the first cleaned sample, the number of grains lost during cleaning corresponding to the first benchmark rotation speed, and the thousand-grain weight parameter.

[0021] The beneficial effects of adopting the above-mentioned further solution are: the calculation of the reference coefficient is completed internally by the electronic equipment without relying on external equipment, which reduces manual intervention, lowers the possibility of errors, and improves the automation level of the harvester.

[0022] Furthermore, before obtaining the reference coefficient corresponding to the first reference speed, the method further includes:

[0023] Establish a communication connection with the main control unit, and send the number of grains lost during cleaning and the thousand-grain weight parameter corresponding to the current cleaning crop to the main control unit, so that the main control unit can determine the benchmark coefficient based on the weight of the first cleaned sample, the number of grains lost during cleaning corresponding to the first benchmark rotation speed, and the thousand-grain weight parameter;

[0024] Receive the reference coefficient sent by the main control unit.

[0025] The advantages of adopting the above-mentioned further solution are: the main control unit can function as an independent computing unit, easily connecting to multiple electronic devices to achieve resource sharing and reduce the computational load on the electronic devices. Furthermore, the main control unit calculates the baseline coefficient and writes it to the electronic device, mitigating the impact of the harvester's inability to calculate the baseline coefficient.

[0026] Furthermore, the method also includes:

[0027] The benchmark coefficients are displayed through the human-machine interface of the harvester.

[0028] The beneficial effects of adopting the above-mentioned further solution are: the benchmark coefficient is made available on the human-computer interaction interface, and the benchmark coefficient is displayed through the human-computer interaction interface, which makes it convenient for users to calibrate and set the benchmark coefficient, thereby improving the reliability of estimating the total number of grains lost during cleaning.

[0029] Secondly, this application provides a harvester cleaning loss detection device, comprising:

[0030] The first acquisition module is used to acquire the number of grains lost during cleaning collected by the loss detection device of the harvester, and the current rotation speed of the fan corresponding to the loss detection device. The number of grains lost during cleaning is the number of grains lost in the detection area corresponding to the loss detection device.

[0031] The second acquisition module is used to acquire the current loss coefficient corresponding to the current rotational speed based on the correspondence between different rotational speeds and different loss coefficients;

[0032] The module is used to obtain the total number of grains lost during cleaning in the overall area corresponding to the harvester, based on the number of grains lost during cleaning and the current loss coefficient, wherein the overall area is the working area of ​​the harvester.

[0033] Thirdly, this application provides an electronic device, including a processor and a memory, wherein the processor is coupled to the memory;

[0034] The processor is configured to execute a computer program stored in the memory, causing the electronic device to perform the method as described in any of the first aspects.

[0035] Fourthly, this application provides a harvester, including the electronic equipment described in the third aspect.

[0036] Fifthly, this application provides a computer-readable storage medium including a computer program or instructions that, when executed on a computer, cause the computer to perform the method as described in any of the first aspects. Attached Figure Description

[0037] Figure 1 This is a schematic flowchart of a harvester cleaning loss detection method according to an embodiment of this application;

[0038] Figure 2 This is a structural block diagram of a harvester cleaning loss detection device according to an embodiment of this application;

[0039] Figure 3 This is a structural block diagram of an electronic device according to an embodiment of this application;

[0040] Figure 4 This is a structural block diagram of a harvester according to an embodiment of this application. Detailed Implementation

[0041] The present application will be further described in detail below with reference to the accompanying drawings.

[0042] This application provides a method for detecting cleaning losses in a harvester. This method can be executed by a device, which can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, desktop computer, etc., but is not limited to these.

[0043] like Figure 1 As shown, a harvester cleaning loss detection method uses electronic equipment as the execution subject, and its main process is described as follows (steps S101 to S103):

[0044] Step S101: Obtain the number of grains lost during cleaning collected by the loss detection device, and the current rotational speed of the blower corresponding to the loss detection device. The number of grains lost during cleaning represents the number of grains lost in the detection area corresponding to the loss detection device. The detection area refers to the area that can be detected at one time within the capability range of the loss detection device, which is part of the harvester's operating area.

[0045] In grain harvesters, loss detection devices are typically installed at the tail screen, a crucial component used for separating and cleaning crop grains. These loss detection devices directly monitor grain loss after cleaning, providing harvester operators with real-time data on grain cleaning losses.

[0046] The loss detection device includes a fan and a loss sensor. The fan's main function is to remove and separate impurities and unwanted grains from the crop by generating airflow. The loss sensor is responsible for sensing and measuring the amount of grain loss after cleaning in real time and transmitting the collected data to electronic equipment. The area covered by the loss detection device, that is, the area that the loss detection device can detect and measure, is considered the local area.

[0047] Step S102: Based on the correspondence between different rotational speeds and different loss coefficients, obtain the current loss coefficient corresponding to the current rotational speed.

[0048] Step S103: Based on the number of grains lost during cleaning and the current loss coefficient, obtain the total number of grains lost during cleaning in the overall area corresponding to the harvester, where the overall area is the working area of ​​the harvester. It is understood that grain loss will occur after the harvester operates in the working area. Since the overall area may include the local area corresponding to the loss detection device (detection area) and other areas that cannot be directly measured by the loss detection device, this solution allows estimation of the grain loss of the overall area based on the grain loss in the detection area.

[0049] The grain harvester also includes sieves, drums, and drum concave plates. The sieves are mainly used to control the fineness of the crushed grains and separate grains of different diameters during the sieving process. The drums are mainly responsible for cutting and conveying the grains to the drum concave plates, which further separate the grains, separating them from straw and weeds. The total grain loss during cleaning is calculated by combining the grain loss count of the corresponding local area detected by the loss detection device with the loss coefficient, reflecting the overall cleaning loss situation of the harvester.

[0050] For the same type of cleaning crop, under the condition that the parameters of equipment such as screen plates, drums and drum concave plates are adjusted stably, the higher the speed of the blower within the allowable speed range, the farther the blown loss grain spillage curve is from the cleaning loss sensor of the tail screen, resulting in a lower probability of the lost grains falling to the cleaning loss sensor, and there is a possibility that the cleaning loss sensor cannot detect the lost grains normally.

[0051] In this embodiment, through a preset correspondence, the loss coefficient is automatically adjusted according to different fan speeds. By combining the number of grains lost during cleaning with the corresponding loss coefficient, the cleaning loss situation in a local area can be transformed into the total number of grains lost during cleaning, reflecting the overall cleaning loss situation in the entire area. This reduces the impact of inaccurate loss coefficients caused by factors such as different fan speeds, improves the objectivity and accuracy of cleaning loss detection results, enhances the accuracy of estimating the weight of the total grains lost during cleaning, and is easier for harvester operators to operate, reducing the operational difficulty for harvester operators.

[0052] In this embodiment, the method for constructing the correspondence specifically includes the following processing: obtaining the first clean sample weighing weight corresponding to the rotation speed of the blower corresponding to the harvester being a first reference rotation speed, and obtaining the reference coefficient corresponding to the first reference rotation speed, wherein the first clean sample weighing weight represents the actual total grain weight of the cleaning loss corresponding to the overall area at the first reference rotation speed; obtaining the second clean sample weighing weight corresponding to the rotation speed of the blower being a second reference rotation speed, wherein the second reference rotation speed is greater than the first reference rotation speed, and the second clean sample weighing weight represents the actual total grain weight of the cleaning loss corresponding to the overall area at the second reference rotation speed; and constructing the correspondence based on the first reference rotation speed, the first clean sample weighing weight, the first reference coefficient, the second reference rotation speed, and the second clean sample weighing weight.

[0053] In this embodiment, the correspondence can be expressed as:

[0054] Correspondence = (Current speed - First reference speed) * (Second sample weighing weight - First sample weighing weight) / (Second reference speed - First reference speed) + Reference coefficient.

[0055] In this embodiment, the first reference speed and the second reference speed can be preset parameters based on the actual parameters of the fan and the harvester. The linear calculation formula between the fan speed and the loss coefficient is obtained by using the first reference coefficient, the first clean sample weighing weight, the reference coefficient and the second reference speed, and the second clean sample weighing weight. This linear calculation formula is the corresponding relationship.

[0056] When the blower operates at the first reference speed, the user can sample the cleaning loss and then weigh the sample to obtain the total weight of the grains lost during cleaning. This total weight of the grains lost during cleaning is the first sample weight. Similarly, when the blower operates at the second reference speed, the user can sample the cleaning loss and then weigh the sample to obtain the total weight of the grains lost during cleaning. This total weight of the grains lost during cleaning is the second sample weight. After obtaining the first and second sample weights, the user can transmit these parameters to the electronic equipment via the interactive main control unit connected to the electronic equipment. The first and second reference speeds can be preset values ​​in the electronic equipment, or the user can transmit these parameters to the electronic equipment via the main control unit.

[0057] In this embodiment, the first reference speed is the lowest speed of the fan, and the second reference speed is the highest speed of the fan.

[0058] It's easy to understand that the minimum speed is the lowest speed within the allowable speed range of the fan, and the maximum speed is the highest speed within the same range. The minimum and maximum speeds within the allowable speed range represent the two extreme conditions of the fan's operating range. Calibrating the correspondence between these extreme conditions ensures that changes in the loss coefficient are reasonably reflected throughout the entire fan's speed range, allowing for a more accurate capture of how the loss coefficient changes with speed.

[0059] In this embodiment, the first reference speed is the lowest permissible speed of the blower, and thus the reference coefficient is the coefficient corresponding to the lowest speed. When the blower speed is at its lowest (Vmin), the airflow inside the harvester is relatively stable, and the movement trajectory of the grains during the cleaning process is also relatively stable. This stability helps the loss detection device to more accurately capture lost grains and reduces measurement errors caused by factors such as airflow turbulence. Therefore, the loss coefficient obtained at the lowest speed has high stability and accuracy, and the coefficient corresponding to the lowest speed, as the reference coefficient, improves the accuracy of subsequent correspondences.

[0060] As an optional implementation of this embodiment, the benchmark coefficient can be calculated by an electronic device, and the loss data collected by the loss detection device includes the number of grains lost during cleaning; the specific process of obtaining the benchmark coefficient corresponding to the first benchmark rotation speed includes the following steps: obtaining the thousand-grain weight parameter corresponding to the current cleaning crop and the number of grains lost during cleaning corresponding to the first benchmark rotation speed, wherein the thousand-grain weight parameter is a parameter characterizing the correspondence between the number of grains and the weight; and determining the benchmark coefficient based on the weight of the first cleaned sample, the number of grains lost during cleaning corresponding to the first benchmark rotation speed, and the thousand-grain weight parameter.

[0061] The benchmark coefficient can be expressed as:

[0062] Reference coefficient = Weight of the first cleaned sample / (Number of grains lost during cleaning at the first reference rotation speed * Thousand-grain weight parameter).

[0063] The number of grains lost during cleaning corresponding to the first reference rotation speed is the number of grains collected by the loss sensor when the blower is running at the first reference rotation speed. For different types of crops to be cleaned, the thousand-grain weight parameter can be set through the human-machine interface connected to the electronic device. The thousand-grain weight parameter refers to the weight of one thousand seeds, usually in grams (g). By calculating the product of the number of grains lost during cleaning and the thousand-grain weight parameter, the weight of the lost grains collected by the loss detection device when the blower is running at the first reference rotation speed can be obtained.

[0064] In this optional embodiment, the baseline coefficient is calculated internally by the electronic device, without relying on external equipment, which reduces manual intervention, lowers the possibility of errors, and improves the automation level of the harvester.

[0065] As another optional implementation of this embodiment, the reference coefficient can be a parameter calculated by other devices and transmitted to the electronic device. Before obtaining the reference coefficient corresponding to the first reference speed, the following processing is also included:

[0066] Establish a communication connection with the main control unit, and send the number of grains lost during cleaning and the thousand-grain weight parameter corresponding to the current cleaning crop to the main control unit, so that the main control unit determines the benchmark coefficient based on the weight of the first cleaned sample, the number of grains lost during cleaning corresponding to the first benchmark rotation speed, and the thousand-grain weight parameter; receive the benchmark coefficient sent by the main control unit.

[0067] After establishing a communication connection with the main control unit, the electronic device can transmit data such as the number of grains lost during cleaning and the thousand-grain weight parameters corresponding to the current cleaning crop to the main control unit. The main control unit calculates the benchmark coefficient and sends the first cleaned sample weight obtained from the sample weighing and the calculated benchmark coefficient to the electronic device. The electronic device stores the benchmark coefficient and other data for subsequent calculations and applications.

[0068] In this optional embodiment, the representation of the benchmark coefficient is the same as that in the optional embodiments described above.

[0069] The main control unit can function as an independent computing unit, easily connecting to multiple electronic devices to achieve resource sharing and reduce the computational load on the electronic devices. Furthermore, the main control unit calculates the baseline coefficients and writes them to the electronic devices, mitigating the impact of the harvester's inability to calculate the baseline coefficients.

[0070] As another optional implementation of this embodiment, the electronic device can respond to the user's relevant query operation and display the number of grains lost during cleaning and the thousand-grain weight parameter corresponding to the current cleaning crop. After the user views the number of grains lost during cleaning and the thousand-grain weight parameter, the reference coefficient is calculated. The main control unit connected to the electronic device sends the first cleaned sample weighing weight obtained by sample weighing and the calculated reference coefficient to the electronic device. The electronic device stores the reference coefficient and other parameters and uses them for subsequent calculations of the corresponding relationships.

[0071] In this optional embodiment, the representation of the benchmark coefficient is the same as that in the optional embodiments described above.

[0072] In this embodiment, the harvester cleaning loss detection method further includes: displaying the benchmark coefficient through the human-machine interface of the harvester.

[0073] The benchmark coefficient is displayed on the human-computer interaction interface, which makes it convenient for users to calibrate and set the benchmark coefficient, thereby improving the reliability of estimating the total number of grains lost during cleaning.

[0074] Based on the same technical concept, this application also provides a harvester cleaning loss detection device, such as... Figure 2 As shown, the harvester cleaning loss detection device 200 mainly includes:

[0075] The first acquisition module 201 is used to acquire the number of grains lost during cleaning collected by the loss detection device of the harvester, and the current rotation speed of the fan corresponding to the loss detection device. The number of grains lost during cleaning is the number of grains lost in the detection area corresponding to the loss detection device.

[0076] The second acquisition module 202 is used to acquire the current loss coefficient corresponding to the current rotational speed based on the correspondence between different rotational speeds and different loss coefficients;

[0077] The module 203 is used to obtain the total number of grains lost during cleaning in the overall area corresponding to the harvester based on the number of grains lost during cleaning and the current loss coefficient, wherein the overall area is the working area of ​​the harvester.

[0078] Optionally, the method for constructing the correspondence includes:

[0079] The first acquisition submodule is used to acquire the first clean sample weighing weight when the rotation speed of the fan corresponding to the harvester is the first reference speed, and to acquire the reference coefficient corresponding to the first reference speed. The first clean sample weighing weight is a representation of the actual total weight of grains lost during cleaning in the whole area at the first reference speed.

[0080] The second acquisition submodule is used to acquire the second clean sample weighing weight corresponding to the second reference speed when the fan speed is the second reference speed. The second reference speed is greater than the first reference speed. The second clean sample weighing weight is a representation of the actual total weight of the cleaned grains lost in the overall area at the second reference speed.

[0081] A submodule is constructed to build the corresponding relationship based on the first reference rotation speed, the first clean sample weighing weight, the first reference coefficient, the second reference rotation speed, and the second clean sample weighing weight.

[0082] Optionally, the first reference speed is the lowest speed of the fan, and the second reference speed is the highest speed of the fan.

[0083] Optionally, the first acquisition submodule includes:

[0084] The third acquisition submodule is used to acquire the thousand-grain weight parameter corresponding to the current cleaning crop and the number of grains lost during cleaning corresponding to the first reference rotation speed. The thousand-grain weight parameter is a parameter that characterizes the relationship between the number of grains and their weight.

[0085] The determination submodule is used to determine the benchmark coefficient based on the weight of the first cleaned sample, the number of grains lost during cleaning corresponding to the first benchmark rotation speed, and the thousand-grain weight parameter.

[0086] Optionally, before the first submodule is retrieved, the following may also be included:

[0087] A sending submodule is established to establish a communication connection with the main control unit and send the number of grains lost during cleaning and the thousand-grain weight parameter corresponding to the current cleaning crop to the main control unit, so that the main control unit can determine the benchmark coefficient based on the weight of the first cleaned sample, the number of grains lost during cleaning corresponding to the first benchmark rotation speed, and the thousand-grain weight parameter.

[0088] The receiving submodule is used to receive the reference coefficient sent by the main control unit.

[0089] Optionally, the device may also include:

[0090] The display module is used to display the reference coefficient through the human-machine interface of the harvester.

[0091] In one example, the module in any of the above devices may be one or more integrated circuits configured to implement the above methods, such as: one or more application-specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field-programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0092] For example, when modules in a device can be implemented via a processing element scheduler, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor capable of calling programs. Alternatively, these modules can be integrated together as a system-on-a-chip (SoC).

[0093] In this application, various objects such as messages / information / devices / network elements / systems / apparatus / actions / operations / processes / concepts may be named. It is understood that these specific names do not constitute a limitation on the relevant objects. The names may be changed depending on the scenario, context, or usage habits. The understanding of the technical meaning of the technical terms in this application should be mainly determined from their functions and technical effects embodied / performed in the technical solution.

[0094] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and modules described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0095] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0096] Based on the same technical concept, this application also provides an electronic device, such as... Figure 3 As shown, the electronic device 300 includes a processor 301 and a memory 302, and may further include one or more of an information input / output (I / O) interface 303, a communication component 304, and a communication bus 305.

[0097] The processor 301 controls the overall operation of the electronic device 300 to complete all or part of the steps in the harvester cleaning loss detection method described above. The memory 302 stores various types of data to support the operation of the electronic device 300. This data may include, for example, instructions for any application or method operating on the electronic device 300, as well as application-related data. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as one or more of Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0098] I / O interface 303 provides an interface between processor 301 and other interface modules, such as keyboards, mice, and buttons. These buttons can be virtual or physical. Communication component 304 is used to test wired or wireless communication between electronic device 300 and other devices. Wireless communication includes Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or one or more combinations thereof. Therefore, the corresponding communication component 304 may include a Wi-Fi component, a Bluetooth component, and an NFC component.

[0099] The communication bus 305 may include a path for transmitting information between the aforementioned components. The communication bus 305 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 305 may be divided into an address bus, a data bus, a control bus, etc.

[0100] The electronic device 300 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the harvester cleaning loss detection method given in the above embodiments.

[0101] Electronic device 300 may include, but is not limited to, mobile terminals such as digital broadcast receivers, PDAs (personal digital assistants), and PMPs (portable multimedia players), as well as fixed terminals such as digital TVs and desktop computers, and may also be servers.

[0102] Based on the same technical concept, this application also provides a harvester, such as Figure 4 As shown, the device includes the aforementioned electronic equipment, loss detection device, and power supply system. The power supply system is electrically connected to the electrical equipment in the electronic equipment and loss detection device, and is used to supply power to the electronic equipment and loss detection device. The loss detection device includes a fan and a fan speed sensor. The fan speed sensor is electrically connected to the electronic equipment and is used to detect the real-time speed of the fan and transmit the real-time speed to the electronic equipment.

[0103] Optionally, the harvester also includes a display and a bus network, with the electronic equipment communicating with the display via the bus network. The display is used to show the human-machine interface.

[0104] Based on the same technical concept, this application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the harvester cleaning loss detection method described above.

[0105] The computer-readable storage medium may include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0106] 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 process, method, article, or apparatus.

[0107] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0108] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0109] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A harvester loss of clean detection method, characterized by, The method comprises: obtaining the number of loss seeds collected by the loss detection device of the harvester, and the current rotating speed of the fan corresponding to the loss detection device, wherein the number of loss seeds is the number of loss seeds in the detection area corresponding to the loss detection device; obtaining the current loss coefficient corresponding to the current rotating speed based on the corresponding relationship between different rotating speeds and different loss coefficients; obtaining the total number of loss seeds in the overall area corresponding to the harvester based on the number of loss seeds and the current loss coefficient, wherein the overall area is the working area of the harvester; The method for constructing the corresponding relationship comprises: obtaining the first sample weight corresponding to the first reference rotating speed of the fan of the harvester, and obtaining the reference coefficient corresponding to the first reference rotating speed, wherein the first sample weight is the weight of the actual total number of loss seeds in the overall area at the first reference rotating speed; obtaining the second sample weight corresponding to the second reference rotating speed of the fan, wherein the second reference rotating speed is greater than the first reference rotating speed, and the second sample weight is the weight of the actual total number of loss seeds in the overall area at the second reference rotating speed; constructing the corresponding relationship based on the first reference rotating speed, the first sample weight, the first reference coefficient, the second reference rotating speed and the second sample weight; wherein the loss coefficient = (current rotating speed-first reference rotating speed)*(second sample weight-first sample weight) / (second reference rotating speed-first reference rotating speed)+reference coefficient; The method for obtaining the reference coefficient corresponding to the first reference rotating speed comprises: obtaining the thousand-grain weight parameter corresponding to the current cleaning crop and the number of loss seeds corresponding to the first reference rotating speed, wherein the thousand-grain weight parameter is a parameter representing the corresponding relationship between the number of seeds and the weight; determining the reference coefficient based on the first sample weight, the number of loss seeds corresponding to the first reference rotating speed and the thousand-grain weight parameter; The reference coefficient is expressed as: reference coefficient = first sample weight / (number of loss seeds corresponding to first reference rotating speed*thousand-grain weight parameter).

2. A harvesting machine loss of clean detection method according to claim 1, characterised in that, The first reference rotating speed is the minimum rotating speed of the fan, and the second reference rotating speed is the maximum rotating speed of the fan.

3. A harvesting machine loss of clean detection method according to claim 2, characterised in that, Before the method for obtaining the reference coefficient corresponding to the first reference rotating speed, the method further comprises: establishing a communication connection with the master control unit, and sending the number of loss seeds and the thousand-grain weight parameter corresponding to the current cleaning crop to the master control unit, so that the master control unit determines the reference coefficient based on the first sample weight, the number of loss seeds corresponding to the first reference rotating speed and the thousand-grain weight parameter; receiving the reference coefficient sent by the master control unit.

4. A harvester loss of clean detection method according to any one of claims 1-3, characterized in that, The method further comprises: displaying the reference coefficient through the human-computer interaction interface of the harvester.

5. A harvester loss of clean detection device, characterized in that, The device of claim 1 comprises: The first obtaining module is configured to obtain a loss seed number collected by a loss detection device of a harvesting machine and a current rotating speed of a fan corresponding to the loss detection device, the loss seed number being a loss seed number of a detection area corresponding to the loss detection device detected; The second obtaining module is configured to obtain a current loss coefficient corresponding to the current rotating speed based on a corresponding relationship between different rotating speeds and different loss coefficients; The obtaining module is configured to obtain a total loss seed number of a whole area corresponding to the harvesting machine based on the loss seed number and the current loss coefficient, the whole area being a working area of the harvesting machine.

6. An electronic device, comprising: The electronic device comprises a processor and a memory, and the processor is coupled to the memory; The processor is configured to execute a computer program stored in the memory, so that the electronic device performs the method of any one of claims 1 to 4.

7. A harvester characterized by The electronic device comprises the electronic device of claim 6.

8. A computer-readable storage medium, characterized in that, The computer program or instructions, when executed on a computer, cause the computer to perform the method of any one of claims 1 to 4.

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