KR102666420B1 - Agricultural machinery remote failure diagnosis system - Google Patents

Abstract

We provide an agricultural machinery remote failure diagnosis system that can minimize the risk of accidents by increasing the accuracy of agricultural machinery failure diagnosis.
The remote failure diagnosis system for agricultural machinery according to an aspect of the present invention determines whether the error count number transmitted from each of a plurality of parts of agricultural machinery is greater than or equal to a predetermined value, and detects a failure of the parts of the agricultural machinery whose error count number is greater than or equal to a predetermined value. and a control module configured to control the operation of each of the plurality of parts of the agricultural machinery according to a diagnosis result of whether each of the plurality of parts of the agricultural machinery has a failure.

Description

Agricultural machinery remote failure diagnosis system {AGRICULTURAL MACHINERY REMOTE FAILURE DIAGNOSIS SYSTEM}

The present invention relates to a remote fault diagnosis system for agricultural machinery, and more specifically, to a remote fault diagnosis system for agricultural machinery that can minimize the risk of accidents by increasing the accuracy of fault diagnosis of agricultural machinery.

Information and communication technologies and artificial intelligence technologies, which have recently developed exponentially, are having a significant impact directly or indirectly on most industrial systems. In particular, information and communication technology and artificial intelligence technology are having a significant impact on the agricultural sector. For example, the paradigm in the agricultural field is changing through smart farm systems based on artificial intelligence technology and big data.

Additionally, as information and communication technology and artificial intelligence technology converge, more sophisticated autonomous driving technology is being developed. Autonomous driving technology is generally applied to cars driving on the road, but is also applied to agricultural machinery used in the agricultural field.

Specifically, agricultural machinery (for example, self-driving tractors) applying autonomous driving technology is being developed and utilized. An autonomous tractor refers to a tractor that is set up to navigate itself to the field and perform predefined movements.

In particular, as autonomous driving technology begins to be applied to agricultural machinery in earnest, a more comprehensive and complex management system for such agricultural machinery is required.

The purpose of the present invention is to provide an agricultural machinery remote failure diagnosis system that can minimize the risk of accidents by increasing the accuracy of agricultural machinery failure diagnosis.

However, the technical problems to be solved by the present invention are not limited to the above-mentioned problems, and other problems not mentioned will be clearly understood by those skilled in the art from the description of the invention described below.

An agricultural machinery remote failure diagnosis system according to an aspect of the present invention determines whether the error count number transmitted from each of a plurality of parts of agricultural machinery is greater than or equal to a predetermined value, and detects a failure of the parts of the agricultural machinery whose error count number is greater than or equal to a predetermined value. and a control module configured to control the operation of each of the plurality of parts of the agricultural machinery according to a diagnosis result of whether each of the plurality of parts of the agricultural machinery has a failure.

Preferably, the diagnostic module may be configured to determine environmental factors that affect running of the agricultural machinery and each of the plurality of parts of the agricultural machinery, based on a basic diagnosis result of whether or not a component of the agricultural machinery has a failure in which the number of error counts is greater than or equal to a predetermined value. Re-determination of failure of parts of the agricultural machinery in consideration of at least one of the characteristics-related factors and factors related to additional fuel consumption when driving the agricultural machinery that occurs due to at least one of topographical obstacles and artificial obstacles in the driving path of the agricultural machinery. It may include a failure re-determination unit configured to output a final diagnosis result.

Preferably, the environmental factors affecting the driving of the agricultural machinery include topographical information on the driving path of the agricultural machinery or climatic information on the driving path of the agricultural machinery, and the failure determination unit considers the environmental factors. When outputting the final diagnosis result, it may be configured to give weight to each of the topographic information and climatic information according to the driving time of the agricultural machinery.

Preferably, the environmental factors affecting the driving of the agricultural machinery include topographical information on the driving path of the agricultural machinery or climatic information on the driving path of the agricultural machinery, and the failure determination unit determines whether the failure is determined based on the topographical information on the driving path of the agricultural machinery. When outputting the final diagnosis result in consideration of the information, it is configured to re-determine whether a part of the agricultural machine is broken according to the slope of the agricultural machine travel path, and the final diagnosis result by considering climatic information on the agricultural machine travel path. When outputting, it may be configured to re-determine whether a part of the agricultural machinery is broken depending on whether the weather conditions on the driving path of the agricultural machinery are adverse.

Preferably, the parts of the agricultural machinery include a steering unit configured to adjust the traveling direction of the agricultural machinery, a braking unit configured to reduce the traveling speed of the agricultural machinery or stop the running of the agricultural machinery, and control the overall driving of the agricultural machinery. a driving unit configured to display a signal or a warning to surrounding people in a driving path of the agricultural machinery; It may include the importance of the agricultural machinery and the lifespan of each of the plurality of parts of the agricultural machinery.

Preferably, when the failure re-determination unit outputs the final diagnosis result in consideration of characteristics-related factors of each of the plurality of parts of the agricultural machinery, the maintenance cycle of each of the plurality of parts of the agricultural machinery and the plurality of parts of the agricultural machinery It may be configured to re-determine whether a part of the agricultural machinery is broken according to at least one of the frequency of use of each part.

Preferably, when the failure re-determination unit outputs the final diagnosis result in consideration of characteristics-related factors of each of the plurality of parts of the agricultural machinery, the basic diagnosis result of whether each of the plurality of parts of the agricultural machinery is failure is It can be configured to consider whether it is caused by an excess or shortage of consumables that play an auxiliary function in driving the parts.

Preferably, the factor related to the occurrence of additional fuel consumption when driving the agricultural machine is a factor related to the consumption of additional fuel when driving the agricultural machine to bypass or avoid when at least one of a topographical obstacle and an artificial obstacle increases in the driving path of the agricultural machine, When the failure re-determination unit outputs the final diagnosis result in consideration of factors related to additional fuel consumption when driving the agricultural machine, if at least one of a topographical obstacle and an artificial obstacle in the driving path of the agricultural machine increases than the average value, the agricultural machine It can be configured to re-determine whether the component is defective.

Preferably, the diagnostic module is configured to compare the error count numbers transmitted from each of a plurality of agricultural machines, and the control module is configured to determine the error count number of a specific agricultural machine transmitted to the diagnostic module from each of the plurality of agricultural machines. If the error count is higher than the average value, it may be configured to preferentially control the operation of the specific agricultural machine.

According to an embodiment of the present invention, additions when driving agricultural machinery are caused by at least one of environmental factors that affect the running of agricultural machinery, factors related to the characteristics of each of the plurality of parts of agricultural machinery, and topographical obstacles and artificial obstacles in the driving path of agricultural machinery. Since it is possible to re-determine whether a part of an agricultural machine is broken by considering at least one of the factors related to fuel consumption, there is an advantage in improving the accuracy of diagnosing whether the agricultural machine breaks down.

In addition, various other additional effects can be achieved by various embodiments of the present invention. These various effects of the present invention will be described in detail in each embodiment, or descriptions of effects that can be easily understood by those skilled in the art will be omitted.

The following drawings attached to this specification illustrate preferred embodiments of the present invention, and serve to further understand the technical idea of the present invention together with the detailed description of the invention described later, so the present invention includes the matters described in such drawings. It should not be interpreted as limited to only .
Figure 1 is a diagram showing a remote failure diagnosis system for agricultural machinery according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating an example of a remote failure diagnosis method for agricultural machinery performed by the system of FIG. 1.
Figures 3 to 6 are diagrams showing specific examples of a remote failure diagnosis method for agricultural machinery performed by the system of Figure 1.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the attached drawings. Prior to this, the terms or words used in this specification and claims should not be construed as limited to their usual or dictionary meanings, and the inventor should appropriately use the concept of terms to explain his or her invention in the best way. It must be interpreted as meaning and concept consistent with the technical idea of the present invention based on the principle of definability.

Therefore, the embodiments described in this specification and the configurations shown in the drawings are only one of the most preferred embodiments of the present invention and do not entirely represent the technical idea of the present invention, so at the time of filing the present application, various options that can replace them are available. It should be understood that equivalents and variations may exist.

FIG. 1 is a diagram showing an agricultural machinery remote failure diagnosis system 100 according to an embodiment of the present invention, and FIG. 2 is a diagram showing an example of an agricultural machinery remote failure diagnosis method performed by the system 100 of FIG. 1.

Referring to FIGS. 1 and 2 , the agricultural machinery remote failure diagnosis system 100 according to an embodiment of the present invention may include a diagnostic module 110 and a control module 120. This system 100 may be connected to the agricultural machinery 200 and the user terminal 300 used by the user.

The system 100 can exchange data with the agricultural machinery 200 and the user terminal 300 through wired and wireless communication and perform a remote failure diagnosis method for agricultural machinery. In one embodiment, the user terminals 300 may be mobile devices or PCs used by users. And, the system 100 may be a server device or a computer device for performing a remote failure diagnosis method for agricultural machinery.

A remote failure diagnosis method for agricultural machinery may be implemented in the form of a computer program or mobile application. For example, the user terminals 300 execute a computer program and a mobile app, and the system 100 executes a computer program, thereby performing processes for operating the remote failure diagnosis method for agricultural machinery.

The system 100 may be implemented in the form of a server. Specifically, system 100 may include an AI model. The AI model may be learned based on unsupervised learning, but is not limited to this, and may also be learned based on supervised learning or semi-persistent learning. there is.

Additionally, an AI model may consist of one or more neural network layers, and each neural network may include one or more weights. AI models can perform learning/inference by performing operations between one or more weights and input data. As an example, the AI model can implement a remote fault diagnosis method for agricultural machinery based on Deep Neural Network (DNN), Convolution Neural Network (CNN), etc.

As an example, agricultural machinery 200 may refer to a machine used for farming. Specifically, agricultural machinery 200 includes, but is not limited to, tractors, cultivators, combines, rice transplanters, binders, and excavators. Additionally, a user may refer to a person who drives/drives/controls agricultural machinery through the user terminal 300.

Meanwhile, the system 100 may be configured to collect the real-time (current) location of the agricultural machinery 200, including a GPS sensor.

The diagnostic module 110 may determine whether the number of error counts transmitted from each of the plurality of parts of the agricultural machinery 200 is greater than or equal to a predetermined value. As an example, transmission/reception of data (error count times, etc.) between the diagnostic module 110 and the agricultural machine 200 may be performed through CAN communication. In addition, the number of error counts means that when each of the plurality of parts of the agricultural machinery 200 does not operate normally, this is counted as the number of errors.

Additionally, the diagnostic module 110 may be configured to diagnose a failure in a component of the agricultural machinery 200 whose error count is greater than a predetermined value. Meanwhile, the fault diagnosis configuration of the diagnostic module 110 will be examined in more detail in the related description described later.

The control module 120 may be configured to control the operation of each of the plurality of parts of the agricultural machinery 200 according to a diagnosis result of failure of each of the plurality of parts of the agricultural machinery 200. That is, the control module 120 controls the parts of the agricultural machinery 200 diagnosed as not malfunctioning by the diagnostic module 110 to maintain operation, and controls the parts of the agricultural machinery 200 diagnosed as malfunctioning by the diagnostic module 110. The operation of the parts in (200) can be stopped.

Referring to FIG. 2, the diagnostic module 110 primarily determines whether a component of the agricultural machinery 200 whose error count is greater than a predetermined value is broken. Basic diagnosis results can be printed. At this time, the basic diagnosis result may be transmitted from the diagnosis module 110 to the user terminal 300 and output through the screen of the user terminal 300.

Additionally, the diagnostic module 110 may include a failure re-determination unit 112.

The failure determination unit 112 determines the basic diagnosis result of failure of parts of the agricultural machinery whose error count is greater than a predetermined value, environmental factors affecting the running of the agricultural machinery 200, and agricultural machinery 200. of the agricultural machinery 200 in consideration of at least one of the factors related to the characteristics of each of the plurality of parts and factors related to the occurrence of additional fuel consumption when driving the agricultural machinery 200 caused by at least one of topographical obstacles and artificial obstacles in the driving path of the agricultural machinery. It can be configured to output a final diagnosis result that re-determines whether a part is broken.

At this time, the final diagnosis result is It may be transmitted to the user terminal 300 and output through the screen of the user terminal 300. Additionally, the control module 120 may be configured to control the operation of each of the plurality of components of the agricultural machinery 200 according to the final diagnosis result.

Here, when the failure re-determination unit 112 re-determines whether a part of the agricultural machinery 200 is broken, environmental factors that affect the running of the agricultural machinery 200 are taken into consideration, other than problems with the agricultural machinery 200 parts themselves. (200) This is to consider the possibility that errors may have occurred in the basic diagnosis results due to environmental factors affecting driving.

In addition, when the failure re-determination unit 112 re-determines whether a part of the agricultural machinery 200 has failed, factors related to the characteristics of each of the plurality of parts of the agricultural machinery 200 are considered. Considering that the characteristics of are the most direct factors in determining whether a part of the agricultural machinery 200 is broken, even if the basic diagnosis result is likely to be a misdiagnosis, the purpose is to further consider the risk caused by the failure of the agricultural machinery 200.

Additionally, when the failure re-determination unit 112 re-determines whether a part of the agricultural machinery 200 is broken, the additional fuel consumption generated when the agricultural machinery 200 is driven due to at least one of topographical obstacles and artificial obstacles in the agricultural machinery travel path. Considering the occurrence-related factors is to consider the possibility that an error occurred in the basic diagnosis result due to indirect factors (related to the remaining fuel amount) that affect the running of the agricultural machinery 200 other than problems with the agricultural machinery 200 parts themselves.

That is, the failure determination unit 112 determines among environmental factors affecting the driving of the agricultural machinery 200, factors related to the characteristics of each of the plurality of parts of the agricultural machinery 200, and topographical obstacles and artificial obstacles in the driving path of the agricultural machinery. To output a final diagnosis result that re-determines whether a part of the agricultural machinery 200 is broken by considering all factors related to the occurrence of additional fuel consumption when driving the agricultural machinery 200 that occurs according to at least one of them, or considering at least one of these factors. It can be configured.

According to this embodiment of the present invention, at least one of environmental factors affecting the running of the agricultural machinery 200, factors related to the characteristics of each of the plurality of parts of the agricultural machinery 200, and topographical obstacles and artificial obstacles in the driving path of the agricultural machinery. Since it is possible to re-determine whether a part of the agricultural machinery 200 is broken by considering at least one of the factors related to the occurrence of additional fuel consumption when driving the agricultural machinery 200, the accuracy of diagnosing whether the agricultural machinery 200 is broken can be improved. There are advantages to this.

3 to 6 are diagrams showing specific examples of a remote failure diagnosis method for agricultural machinery performed by the system 100 of FIG. 1.

In one embodiment, environmental factors that affect the driving of agricultural machinery 200 may include topographical information on the driving path of the agricultural machinery or climatic information on the driving path of the agricultural machinery.

As an example, the topographical information on the agricultural machinery driving path may include information about whether the agricultural machinery driving path is wasteland, flat land, a slope, forest terrain, a field, a rice field, an open land, a wetland, or near a beach. You can.

For example, when the terrain of the driving path of the agricultural machinery is flat, whether the parts of the agricultural machinery 200 are broken in the basic diagnosis result determined by the diagnostic module 110 is determined by environmental factors that affect the running of the agricultural machinery 200. This may be due to a problem with the agricultural machinery 200 parts themselves rather than a factor.

In addition, climatic information on the agricultural machinery driving route includes information on whether it is currently raining, snowing, hailing, or foggy in the area where the agricultural machinery driving route is located, and whether the area where the agricultural machinery driving route is located is clear. It may include information about, etc. As an example, climatic information on the driving path of agricultural machinery may be input into the system 100 from a separate weather information information server (not shown).

For example, when the area where the driving path of the agricultural machinery is located is clear, whether the parts of the agricultural machinery 200 are broken in the basic diagnosis results determined by the diagnostic module 110 may be determined by environmental factors that affect the driving of the agricultural machinery 200. This may be due to a problem with the agricultural machinery 200 parts themselves rather than a factor.

According to this implementation configuration, when outputting the final diagnosis result in consideration of environmental factors affecting the driving of agricultural machinery 200, the topographical information on the driving path of the agricultural machinery and the driving path of the agricultural machinery with detailed classification of environmental factors are used. Since it is possible to determine whether a part of the agricultural machinery 200 is broken by considering at least one of the climatic information, the basic diagnosis result may be affected by environmental factors affecting the driving of the agricultural machinery 200 other than problems with the parts of the agricultural machinery 200 themselves. The possibility that an error has occurred can be determined more accurately.

Referring to FIG. 3, when outputting the final diagnosis result in consideration of environmental factors affecting the driving of the agricultural machinery 200, the failure determination unit 112 determines the topographical condition according to the driving time of the agricultural machinery 200. It can be configured to give weight to each information and climatic information.

That is, the failure determination unit 112 may output the final diagnosis result by assigning different weights to the topographical information and climatic information according to the driving time of the agricultural machine 200. In other words, depending on the driving time of the agricultural machinery 200, the final diagnosis result of the failure determination unit 112 considering environmental factors may vary.

Illustratively, when the driving time of the agricultural machinery 200 is short (e.g., within 30 minutes to 4 hours), the failure determination unit 112 determines the weather conditions on the agricultural machinery driving path compared to the topographical factors on the agricultural machinery driving path. Since it is judged that the impact on the driving of the agricultural machinery 200 will be small, more weight can be given to the topographical information on the driving path of the agricultural machinery.

On the other hand, if the driving time of the agricultural machinery 200 is long (e.g., 12 hours or more), the failure determination unit 112 determines the Since it is determined that weather conditions will have a significant impact on the driving of agricultural machinery 200, more weight may be given to climatic information on the driving path of agricultural machinery.

According to this implementation configuration, when outputting the final diagnosis result in consideration of environmental factors affecting the driving of the agricultural machinery 200, the agricultural machinery driving path is divided into detailed environmental factors according to the driving time of the agricultural machinery 200. Since it is possible to determine whether a part of the agricultural machinery 200 is broken by adjusting the judgment weight of the topographical information and climatic information on the driving path of the agricultural machinery, there is no effect on the driving of the agricultural machinery 200 other than problems with the parts of the agricultural machinery 200 themselves. It is possible to more accurately determine the possibility that an error occurred in the basic diagnosis result due to environmental factors.

As described above, environmental factors that affect the driving of the agricultural machinery 200 may include topographical information on the driving path of the agricultural machinery or climatic information on the driving path of the agricultural machinery.

Referring to FIG. 4, when the failure determination unit 112 outputs the final diagnosis result in consideration of topographical information on the agricultural machinery travel path, a failure of a part of the agricultural machinery 200 is determined according to the slope of the agricultural machinery travel path. It may be configured to re-determine whether or not.

For example, when the slope of the agricultural machinery travel path is high (e.g., a hill or a hilly area with many slopes), the agricultural machinery 200 shakes more compared to when the slope of the agricultural machinery travel path is low, and a plurality of parts of the agricultural machinery 200 The vibration applied to each can be further increased. In this case, even if a failure does not actually occur in each of the plurality of parts of the agricultural machinery 200, a failure occurs in each of the plurality of parts of the agricultural machinery 200 due to vibration occurring while the agricultural machinery 200 travels on an agricultural machinery travel path with a high slope. There is a possibility that the error count may malfunction.

Here, when the slope of the agricultural machine's driving path is high, the failure determination unit 112 considers the possibility that an error occurred in the basic diagnosis result due to the high slope of the agricultural machine's driving path other than the problem of the agricultural machine 200 parts themselves, and finalizes the final diagnosis. Diagnosis results can be printed.

In addition, when the failure determination unit 112 outputs the final diagnosis result in consideration of climatic information on the agricultural machinery driving path, the parts of the agricultural machinery 200 are determined according to whether the weather condition on the agricultural machinery driving path is adverse. It can be configured to re-determine whether there is a failure.

For example, when the weather conditions on the agricultural machinery driving path are adverse (e.g., snow or rain), the road surface on the agricultural machinery driving path is relatively more slippery compared to when it is clear, so the agricultural machinery 200 shakes more and the agricultural machinery 200 Vibration applied to each of the plurality of parts may be further increased. In this case, even if a failure does not actually occur in each of the plurality of parts of the agricultural machinery 200, the vibration generated while the agricultural machinery 200 travels on the agricultural machinery travel path where the road surface of the agricultural machinery travel path is relatively more slippery causes the agricultural machinery 200 to be damaged. There is a possibility that the error count may malfunction due to a failure in each of the multiple components.

Here, if the weather condition on the agricultural machinery travel path is adverse, the failure determination unit 112 determines the possibility that an error has occurred in the basic diagnosis result due to the weather condition on the agricultural machinery travel route other than the problem of the agricultural machinery 200 parts themselves. Taking this into account, the final diagnosis result can be output.

In one embodiment, the parts of the agricultural machinery 200 include a steering unit (e.g., handle, etc.) configured to adjust the traveling direction of the agricultural machinery 200, slow down the traveling speed of the agricultural machinery 200, or reduce the traveling speed of the agricultural machinery 200. A braking unit configured to stop (e.g., brakes, etc.), a driving unit configured to control the overall operation of the agricultural machine 200 (e.g., tires, transmission, engine, etc.), and a signal or warning to surrounding people in the driving path of the agricultural machine. It may include a lighting unit configured to display (e.g., headlight, brake light, etc.).

At this time, factors related to the characteristics of each of the plurality of parts of the agricultural machinery 200 determine the importance of each of the plurality of parts of the agricultural machinery 200 in running the agricultural machinery 200 and the lifespan of each of the plurality of parts of the agricultural machinery 200. It can be included.

As described above, when the failure re-determination unit 112 re-determines whether a part of the agricultural machinery 200 has failed, factors related to the characteristics of each of the plurality of parts of the agricultural machinery 200 are considered. Considering that the characteristics of each part of the agricultural machinery 200 are the most direct factors in determining whether a component of the agricultural machinery 200 has failed, even if the basic diagnosis result is highly likely to be a misdiagnosis, the risk arising from the failure of the agricultural machinery 200 is to be further considered. am.

Here, the characteristics of each of the plurality of parts of the agricultural machinery 200 are classified in detail, the importance of each of the plurality of parts of the agricultural machinery 200 in driving the agricultural machinery 200, and the importance of each of the plurality of parts of the agricultural machinery 200. Since it is possible to determine whether a part of the agricultural machinery 200 is broken by considering the lifespan, the failure determination unit 112 outputs the final diagnosis result by considering factors related to the characteristics of each of the plurality of parts of the agricultural machinery 200. When deriving the final diagnosis result, the risk factors that occur due to the breakdown of the agricultural machinery 200 can be considered in more detail and reflected.

Referring to FIG. 5, when outputting the final diagnosis result in consideration of characteristics-related factors of each of the plurality of parts of the agricultural machinery 200, the failure determination unit 112 determines the characteristics of each of the plurality of parts of the agricultural machinery 200. It may be configured to re-determine whether a part of the agricultural machinery 200 is broken according to at least one of the maintenance cycle and the frequency of use of each of the plurality of parts of the agricultural machinery 200.

As an example, as the maintenance cycle of a specific part of the agricultural machinery 200 is shorter than that of other parts, the importance of the specific part may be relatively higher than that of other parts. In addition, the higher the importance of a particular part, the higher the frequency of use, and the lifespan of that particular part may be relatively shorter than that of other parts. In this case, the failure determination unit 112 determines whether the agricultural machinery 200 is running due to an additional problem caused by at least one of environmental factors affecting the running of the agricultural machinery 200 or topographical obstacles and artificial obstacles in the agricultural machinery driving path. Even if there is a possibility that the error count of the agricultural machinery 200 may malfunction depending on factors related to fuel consumption generation, the risk occurring due to failure of the agricultural machinery 200 is taken into consideration and the failure of a specific part of the agricultural machinery 200 is reassessed. can be judged.

On the other hand, as the maintenance cycle of a specific part of the agricultural machinery 200 is longer than that of other parts, the importance of the specific part may be relatively low compared to other parts. In addition, the lower the importance of the specific part, the less frequently it is used, so the specific part may have a relatively longer lifespan compared to other parts. In this case, the failure determination unit 112 determines the Errors may occur in the basic diagnosis results depending on factors related to the occurrence of additional fuel consumption when driving the agricultural machinery 200 due to environmental factors affecting the driving of the agricultural machinery 200 or at least one of topographical obstacles and artificial obstacles in the driving path of the agricultural machinery. It is possible to re-determine whether a specific part of the agricultural machinery 200 has failed by further considering the possibility that it has occurred.

According to this implementation configuration, when the failure determination unit 112 outputs the final diagnosis result in consideration of characteristics-related factors of each of the plurality of parts of the agricultural machinery 200, the actual condition of each of the plurality of parts of the agricultural machinery 200 The final diagnosis result can be derived by adjusting the degree of weight given to risk factors occurring due to failure of agricultural machinery 200 according to importance. Accordingly, the accuracy of failure determination for each part of the agricultural machinery 200 can be increased.

In one embodiment, the failure determination unit 112 considers characteristics-related factors of each of the plurality of parts of the agricultural machinery 200 and outputs the final diagnosis result, when each of the plurality of parts of the agricultural machinery 200 fails. It can be configured to consider whether the basic diagnosis result is derived from an excess or shortage of consumables that play an auxiliary function in driving each part.

This means that when the failure determination unit 112 outputs the final diagnosis result by considering the characteristics related factors of each of the plurality of parts of the agricultural machinery 200, the actual importance or lifespan of each of the plurality of parts of the agricultural machinery 200 and Regardless, considering whether a basic diagnosis result of failure of each of the plurality of parts of the agricultural machinery 200 has been derived due to excess or shortage of consumables (e.g., engine oil, brake oil, etc.) used incidentally in the operation of each part. It is for this purpose.

For example, the failure determination unit 112 determines that the failure diagnosis result for a specific part (e.g., engine) of the agricultural machinery 200 in the basic diagnosis result is due to an excess or shortage of a specific consumable (e.g., engine oil). If it is determined, the final diagnosis result can be output considering the excess or shortage of specific consumables. Accordingly, the accuracy of failure determination for each part of the agricultural machinery 200 can be further improved.

In one embodiment, a factor related to the occurrence of additional fuel consumption when driving the agricultural machinery 200 is that, when at least one of a topographical obstacle and an artificial obstacle increases in the driving path of the agricultural machinery, additional fuel is consumed when driving the agricultural machinery 200 to bypass or avoid it. This may be a factor.

Referring to FIG. 6, when outputting the final diagnosis result in consideration of factors related to additional fuel consumption when driving the agricultural machinery 200, the failure determination unit 112 considers the factors related to the generation of additional fuel consumption when driving the agricultural machinery 200, including topographical obstacles and artificial obstacles in the driving path of the agricultural machinery. If at least one value increases more than the average value, it may be configured to re-determine whether a part of the agricultural machinery 200 is broken. As an example, topographical obstacles may be rivers, mountains, hills, etc., and man-made obstacles may be buildings, bridges, barricades, etc.

In this way, in order to bypass or avoid at least one of the topographical obstacles and artificial obstacles in the agricultural machinery driving path when it increases above the average value, If additional fuel is consumed while driving agricultural machinery (200), The fuel remaining amount of the agricultural machine 200 at each point on the actual agricultural machine driving path may be reduced compared to the fuel remaining amount at each point on the agricultural machine driving path planned at the time of departure. In this case, sufficient fuel may not be supplied to some of the plurality of parts of the agricultural machinery 200, and an error may occur in which the error count number exceeds a predetermined value even if an actual physical failure does not occur in some of the parts. .

For example, the failure re-determination unit 112 determines that the failure diagnosis result for a specific part of the agricultural machine 200 in the basic diagnosis result is that at least one of the topographical obstacle and the artificial obstacle in the agricultural machine driving path is increased more than the average value. If it is determined that the result is due to an abnormality, the final diagnosis result can be output by taking this into account. Accordingly, it is possible to more accurately determine the possibility that an error has occurred in the basic diagnosis result due to factors related to additional fuel consumption when driving the agricultural machine 200 other than problems with the parts of the agricultural machine 200 itself.

In one embodiment, the diagnostic module 110 may be configured to compare the number of error counts transmitted from each of the plurality of agricultural machines 200 with each other.

In addition, the control module 120 may determine whether the error count number of a specific agricultural machine 200 is higher than the average value of the error count times transmitted to the diagnostic module 110 from each of the plurality of agricultural machines 200.

Here, when the error count number of the specific agricultural machine 200 is higher than the average value of the error count times transmitted to the diagnostic module 110 from each of the plurality of agricultural machines 200, the control module 120 detects the specific agricultural machine 200 ) can be configured to preferentially control the operation of the. Illustratively, the control module 120 controls the operation of a specific agricultural machine 200 whose error count is higher than the average value of the error count times transmitted to the diagnostic module 110 from each of the plurality of agricultural machines 200 to be stopped. can do.

According to this implementation configuration, in the drive control of the agricultural machine group containing a large number of agricultural machines 200, the drive of the agricultural machine 200 with a high failure value can be controlled preferentially, so the drive of the agricultural machine group can be controlled more efficiently. There are advantages to doing this.

As described above, although the present invention has been described with limited examples and drawings, the present invention is not limited thereto, and the technical idea of the present invention and the following will be understood by those skilled in the art to which the present invention pertains. Of course, various modifications and variations are possible within the scope of equivalence of the patent claims to be described.

Meanwhile, in the present invention, terms indicating directions such as up, down, left, right, front, and back are used, but these terms are only for convenience of explanation and may vary depending on the location of the target object or the location of the observer. It is obvious to those skilled in the art that this can be done.

100: system
110: diagnostic module
112: Failure re-determination unit
120: control module
200: Agricultural machinery
300: user terminal

Claims (5)

a diagnostic module configured to determine whether an error count number transmitted from each of a plurality of parts of agricultural machinery is greater than or equal to a predetermined value, and to diagnose a failure of the part of the agricultural machinery whose error count number is greater than or equal to a predetermined value; and
A control module configured to control the operation of each of the plurality of parts of the agricultural machinery according to a diagnosis result of failure of each of the plurality of parts of the agricultural machinery,
The diagnostic module is,
Regarding the basic diagnosis result of a failure of a part of the agricultural machinery whose error count is more than a predetermined value, environmental factors affecting the running of the agricultural machinery, factors related to the characteristics of each of the plurality of parts of the agricultural machinery, and the driving path of the agricultural machinery. Failure status configured to output a final diagnosis result of re-determining whether a part of the agricultural machinery is broken in consideration of at least one of the factors related to the occurrence of additional fuel consumption when driving the agricultural machinery caused by at least one of topographical obstacles and artificial obstacles. Includes a re-judgment panel,
Environmental factors that affect the operation of the agricultural machinery are:
Contains topographic information on the agricultural machinery travel path or climatic information on the agricultural machinery travel path,
The failure determination unit,
When outputting a final diagnosis result in consideration of the environmental factors, a weight is assigned to each of the topographic information and the climatic information according to the driving time of the agricultural machine,
When the driving time of the agricultural machinery is short, it is determined that the weather conditions along the agricultural machinery driving path have a small impact on the driving of the agricultural machinery compared to the topographical factors on the agricultural machinery driving path, and more weight is given to the geographical information than the climatic information. It is configured to
When the driving time of the agricultural machinery is long, the likelihood that weather conditions will change rapidly during the driving time increases, and it is judged that the weather conditions on the driving path of the agricultural machinery will have a greater impact on the driving of the agricultural machinery, so the climatic information is more important than the topographical information. A remote failure diagnosis system for agricultural machinery, characterized in that it is configured to give more weight to information. delete delete According to clause 1,
Environmental factors that affect the operation of the agricultural machinery are:
Contains topographic information on the agricultural machinery travel path or climatic information on the agricultural machinery travel path,
The failure determination unit,
When outputting the final diagnosis result in consideration of the topographical information on the agricultural machine travel path, it is configured to re-determine whether a part of the agricultural machine is broken according to the slope of the agricultural machine travel path,
When outputting the final diagnosis result in consideration of climatic information on the agricultural machinery travel path, it is configured to re-determine whether a part of the agricultural machinery is broken depending on whether the weather condition on the agricultural machinery travel route is adverse. A remote fault diagnosis system for agricultural machinery. According to clause 1,
The parts of the agricultural machinery are,
A steering unit configured to adjust the traveling direction of the agricultural machinery, a braking unit configured to slow down the traveling speed of the agricultural machinery or stop the running of the agricultural machinery, a driving unit configured to control the overall driving of the agricultural machinery, and a driving unit configured to control the overall driving of the agricultural machinery. A lighting unit configured to display a signal or warning to nearby people,
Factors related to the characteristics of each of the plurality of parts of the agricultural machinery are:
A remote failure diagnosis system for agricultural machinery, comprising the importance of each of the plurality of parts of the agricultural machinery in driving the agricultural machinery and the lifespan of each of the plurality of parts of the agricultural machinery.