JP2018025928A - Work machine fault diagnosis device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To perform appropriate fault diagnosis even when only a small amount of maintenance history information is stored.SOLUTION: A work machine fault diagnosis device of the present invention comprises a storage device for storing information pertaining to an inputted fault state and fault portion and a controller. The controller classifies the fault state at least into each of a first state category and a second state category in a lower hierarchy below the first state category, totalizes, for each fault portion, the number of cases of fault state classified by a classification unit, and determines whether or not to use the fault state classified into the second state category for fault diagnosis on the basis of the totalized number of cases of fault state. When determined not to use for fault diagnosis, the controller causes the fault state classified into the first state category to be displayed by a display device, without displaying the fault state classified into the second state category. When determined to use for fault diagnosis, the controller causes the fault state classified into the second state category to be displayed by the display device.SELECTED DRAWING: Figure 7

Description

  The present invention relates to a failure diagnosis apparatus for a work machine.

  When a failure occurs in a work machine such as a hydraulic excavator or a wheel loader, it is important to quickly identify the failed part of the work machine in order to use the work machine at a high operating rate. For this reason, various methods and systems for diagnosing work machine failures have been developed.

  Patent Document 1 describes a method for creating a failure diagnosis database for a work machine and a system for creating a failure diagnosis database for a work machine capable of easily and quickly diagnosing a failure from a question that matches the actual situation. The method described in Patent Document 1 is a method of selecting the status of each part used for failure diagnosis from among a large number of candidates for the situation of each part corresponding to a failure state.

  In the method described in Patent Document 1, the contents of repair are acquired, the status of each part when repair is performed, and a repair list database is created. The situation totalization unit uses the repair list database to arrange the symptoms of each part for each repair content, and finds the total number of repairs and the total number of occurrences of the symptoms in each part for each repair content. The check item determination unit calculates the occurrence frequency from the total number of repairs for each repair content and the total number of occurrences of symptoms of each part, and when the value is equal to or greater than a predetermined value, determines the corresponding part as a check item .

JP 2011-76312 A

  However, since the method described in Patent Document 1 determines a check item when the occurrence frequency is equal to or higher than a predetermined value, when there is little repair record and the maintenance history information stored in the repair list database is small, The repair record accumulated so far cannot be used, and there is a possibility that the function as the failure diagnosis apparatus cannot be fully exhibited.

  A failure diagnosis apparatus for a work machine according to an aspect of the present invention includes a storage device that stores information on a failure state and a failure part input by an input device, the failure state, at least a first state category, and the first state. A classification unit that classifies each of the second state categories in a lower hierarchy of the category, a totaling unit that totals the number of failure states classified by the classification unit for each faulty part, and a totaling unit Based on the number of failure states, a usage determination unit that determines whether or not to use a failure state classified in the second state category for failure diagnosis, and the usage determination unit does not use the failure state for failure diagnosis. If it is determined that the failure state classified in the second state category is not displayed on the display device, the failure state classified in the first state category is displayed on the display device, And a display control unit that displays on the display device the failure state classified in the second state category when the use determination unit determines that the failure state is to be used for failure diagnosis. It is characterized by that.

  According to the present invention, it is possible to perform an appropriate failure diagnosis even when only a small number of maintenance history information is stored.

The figure which shows the structure of the failure diagnosis system of a working machine. The side view of the hydraulic shovel (backhoe) which is an example of a working machine. (A) is a diagram showing an example of a maintenance history database stored in the storage device, (b) is a diagram showing an example of a failure state classification master database stored in the storage device, and (c) is in the storage device. The figure which shows an example of the classification | category database memorize | stored. (A) is a figure which shows an example of the number database memorize | stored in the memory | storage device, (b) is a figure which shows an example of the utilization database memorize | stored in the memory | storage device. The figure which shows an example of the display screen of the display apparatus of an information terminal. The figure which shows an example of the display screen of the display apparatus of an information terminal. The flowchart which shows an example of the process by the program performed by the control apparatus of a failure diagnosis apparatus. (A) is a figure which shows the classification master database of the failure diagnosis system which concerns on modification 1-1, (b) is a figure which shows the maintenance history database of the failure diagnosis system which concerns on modification 1-1. (A) is a figure which shows the classification master database of the failure diagnosis system which concerns on modification 1-2, (b) is a figure which shows the maintenance history database of the failure diagnosis system which concerns on modification 1-2. (A) is a figure which shows the classification master database (failure part) of the failure diagnosis system which concerns on the modification 3, (b) is a figure which shows an example of the display screen of the display apparatus of the failure diagnosis system which concerns on the modification 3, (c) ) Is a diagram showing the number of images displayed on the display screen of the display device of the failure diagnosis system according to Modification 3.

  FIG. 1 is a diagram illustrating a configuration of a failure diagnosis system for a work machine. As shown in FIG. 1, a failure diagnosis system 100 includes a failure diagnosis apparatus 101 installed in a management center, an information terminal 108 used by an operator, and a work machine 109 such as a hydraulic excavator that performs work on site. . The failure diagnosis apparatus 101, the information terminal 108, and the work machine 109 are each provided with a communication unit, and can communicate with each other via the network 107. The network 107 may be wireless communication or wired communication as long as data can be exchanged among the failure diagnosis apparatus 101, the information terminal 108, and the work machine 109. Further, data may be exchanged between the failure diagnosis apparatus 101, the information terminal 108, and the work machine 109 not via the network 107 but via a storage medium or the like. Although not shown, a plurality of other information terminals and other work machines are connected to the network 107, and information from the plurality of information terminals and work machines is collected in the failure diagnosis apparatus 101 of the management center.

  FIG. 2 is a side view of a hydraulic excavator (backhoe) which is an example of a work machine. As shown in FIG. 2, the work machine 109 includes a traveling body 11 and a revolving body 12 that is turnably mounted on the traveling body 11. The traveling body 11 travels by driving a pair of left and right crawlers by a traveling motor.

  A driver's cab 17 is provided on the left side of the front part of the swivel body 12, and an engine room is provided at the rear of the driver's cab 17. The engine room houses an engine, hydraulic equipment, and the like that are power sources. A counterweight 19 for balancing the airframe during work is attached to the rear of the engine compartment. A front working device 13 is provided on the front right side of the revolving structure 12.

  The front working device 13 includes a plurality of front members, that is, a boom 14, an arm 15, and a bucket 16. The boom 14 is attached to the front portion of the revolving body 12 so that the base end portion thereof is rotatable. One end of the arm 15 is rotatably attached to the tip of the boom 14. The boom 14 and the arm 15 are driven up and down by the boom cylinder 14a and the arm cylinder 15a, respectively. The bucket 16 is attached at the tip of the arm 15 so as to be pivotable in the vertical direction with respect to the arm 15, and is driven by a bucket cylinder 16a.

  As shown in FIG. 1, the work machine 109 includes a control device 109c, an input device 109i, a display device 109d, and the communication unit described above. The information terminal 108 is a portable portable terminal such as a notebook PC or a tablet PC, and includes a control device 108c, an input device 108i, a display device 108d, and the communication unit described above.

  The control devices 108c and 109c include an arithmetic processing unit having an integrated circuit such as a CPU or FPGA, a storage medium such as a ROM or RAM, and other peripheral circuits. The input devices 108i and 109i are a mouse, a keyboard, a touch panel, and the like. The display devices 108d and 109d have a display screen composed of, for example, a liquid crystal panel. The control devices 108c and 109c store the information input by the input devices 108i and 109i in a storage medium, generate display control signals based on the input information and the like, and display images on the display screens of the display devices 108d and 109d. Display.

  When the service person performs maintenance work such as inspection and repair of the work machine 109, the service person inputs the content of the maintenance work to the information terminal 108. Information on the content of the maintenance work input to the information terminal 108 is transmitted to the failure diagnosis apparatus 101 of the management center via the network 107 based on the operation of the service person. The information on the contents of the maintenance work transmitted to the failure diagnosis apparatus 101 includes a detailed description of a failure state to be described later and information on a failure part that is a target of the failure state.

  The work machine failure diagnosis apparatus 101 includes an arithmetic processing unit having an integrated circuit such as a CPU and FPGA, a storage medium such as a ROM and a RAM, and other peripheral circuits. The failure diagnosis apparatus 101 includes a control device 110, a storage device 120, an input device 131, and a display device 132.

  The control device 110 functionally includes a classification unit 111, a totaling unit 112, a usage determination unit 113, a threshold setting unit 114, and a display control unit 115. The storage device 120 includes a maintenance history database 121, a classification master database 122, a classification database 123, a number database 124, and a usage database 125. The input device 131 is, for example, a mouse, a keyboard, a touch panel, or the like. The display device 132 has a display screen composed of a liquid crystal panel or the like, for example.

  When a failure occurs, the service person operates the information terminal 108 to perform a failure diagnosis, and checks each part of the work machine 109 based on the result of the failure diagnosis. Details of the failure diagnosis will be described later. When the maintenance work including the failure diagnosis is completed, the service person operates the input device 108i of the information terminal 108 to input the failure part and the failure state of the work machine 109. Information input from the input device 108 i to the control device 108 c is transmitted from the communication unit to the failure diagnosis device 101 via the network 107. The failure diagnosis apparatus 101 stores information received by the communication unit in the maintenance history database 121 of the storage device 120. The storage device 120 stores information transmitted from a plurality of information terminals (not shown) in addition to the information terminal 108 shown in FIG. In the maintenance history database 121, information is organized for each model of the work machine 109.

  In the present embodiment, the service person inputs the part code determined for each part constituting the work machine 109 as information on the faulty part to the information terminal 108, and uses the fault state information on the faulty part as fault state information. Enter details in text.

  FIG. 3A shows an example of a maintenance history database stored in the storage device. The maintenance history database 121 is a collection of a plurality of maintenance history information. Each of the plurality of maintenance history information includes failure state information and failure part information corresponding to the failure state information. As shown in FIG. 3A, the storage device 120 of the failure diagnosis apparatus 101 has a serial number (ID) for identifying maintenance history information, failure state text data, and a failure part as the maintenance history database 121. A code registration area is provided. The storage device 120 stores the maintenance history information transmitted from the information terminal 108 via the communication unit in time series. That is, the storage device 120 stores failure state information input by the input device 108i of the information terminal 108 and failure site information corresponding to the failure state information in time series.

  For example, in the identification number (ID) 1, text data “white smoke is discharged,...” Is stored as failure state information, and a code “A” is stored as failure site information. In the identification number (ID) 2, text data “black smoke is discharged,...” Is stored as failure state information, and a code “B” is stored as failure site information. The part code is assigned to each part of the work machine 109, for example, “A” is a code representing a predetermined hydraulic pump and “B” is a code representing a predetermined control valve.

  FIG. 3B is a diagram showing an example of a fault master database stored in the storage device. The classification master database 122 is a collection of information used to classify the failure status information of the maintenance history information into a plurality of hierarchies, for example, the upper category and the lower category of the lower category of the upper category for each status. Therefore, it is stored in advance in the storage device.

  As shown in FIG. 3B, the storage device 120 of the failure diagnosis apparatus 101 includes a keyword for classifying the failure state into a lower category, a lower category corresponding to the keyword, and a higher level including the lower category. A category registration area is provided. i is an assignment number assigned to each upper category, and j is an assignment number j assigned to each lower category. Note that i is an integer of 1 or more. Since one upper category includes at least two or more lower categories, the magnitude relationship between i and j is j ≧ 2 × i.

  For example, the classification master database 122 stores “smoke” as the upper category CAi (i = 1), “white smoke” as the lower category CBj (j = 1) in the lower hierarchy of “smoke”, and the lower category “Black smoke” is stored as CBj (j = 2). “White smoke” is stored as a keyword set corresponding to the lower category “white smoke”, and “black smoke” is stored as a keyword set corresponding to the lower category “black smoke”. In the following description, the upper category and the lower category are collectively referred to simply as a category.

  Using the maintenance history database 121 (see FIG. 3A) and the classification master database 122 (see FIG. 3B), the classification unit 111 classifies the failure state of the maintenance history database 121 into lower categories according to the state. Further, it is classified according to the state into the upper category of the upper hierarchy of the lower category. The classification unit 111 executes a classification process for storing the classified classification information for each state in the classification database 123. As a classification process, the classification unit 111 refers to the failure state text data in the maintenance history database 121 for each identification number (ID), and whether or not a keyword registered in the classification master database 122 in advance is included in the text data. Determine whether. In other words, the classification unit 111 determines whether there is a keyword that matches the keyword registered in the classification master database 122 in the failure state text data in the maintenance history database 121. . When the keyword registered in the classification master database 122 is included in the text data in the failure state, the classification unit 111 performs, as classification processing, the lower category corresponding to the keyword and the upper hierarchy of the lower category. The failure state is classified into categories, and the classification information is stored in the classification database 123.

  FIG. 3C is a diagram illustrating an example of a classification database stored in the storage device. As shown in FIG. 3C, the storage device 120 of the failure diagnosis apparatus 101 is provided with a registration number for identifying serial information (ID), upper category, lower category, and failure site information for identifying classification information. Yes. In the illustrated example, the classification database 123 includes a plurality of pieces of classification information corresponding to the plurality of pieces of maintenance history information constituting the maintenance history database 121 on a one-to-one basis.

  The classification unit 111 refers to, for example, “white smoke has been discharged,...” That is the text data of the failure state of the identification number (ID) 1 of the maintenance history database 121, and the classification master database is included in the text data. It is determined whether or not the 122 keyword “white smoke” is included. If the keyword “white smoke” is included, “white smoke” is selected as the lower category of the identification number (ID) 1 and stored in the classification database 123. When “white smoke” is selected as the lower category, the classification unit 111 selects “smoke”, which is an upper category in the upper hierarchy of “white smoke”, and stores it in the classification database 123. Thereby, with the identification number (ID) 1, classification information of the upper category “smoke”, the lower category “white smoke”, and the failure part “A” is generated. The information on the failed part in the classification database 123 is the same as the information on the failed part in the maintenance history information in the maintenance history database 121, and is set for each identification number (ID).

  The classification unit 111 refers to the text data of the failure state of the identification number (ID) 2 of the maintenance history database 121 “black smoke has been discharged,... It is determined whether or not the keyword “black smoke” is included. When the keyword “black smoke” is included, “black smoke” is selected as the lower category of the identification number (ID) 2 and stored in the classification database 123. When “black smoke” is selected as the lower category, the classification unit 111 selects “smoke”, which is an upper category in the upper hierarchy of “black smoke”, and stores it in the classification database 123. Thereby, in the identification number (ID) 2, classification information of the upper category “smoke”, the lower category “black smoke”, and the failure part “B” is generated.

  The totaling unit 112 executes a totaling process for generating the number database 124 by totaling the failed part codes corresponding to the classified failure states from the classification database 123. FIG. 4A is a diagram illustrating an example of the number database stored in the storage device. As shown in FIG. 4A, the storage device 120 of the failure diagnosis apparatus 101 stores the total information generated by the total process. The totaling unit 112 totals the number of failure states classified by the classification unit 111 for each faulty part. In other words, the tabulation unit 112 tabulates the number of failure occurrences for each failure site for each of the upper category and lower category failure states.

  As shown in FIG. 4A, for example, the totaling unit 112 accumulates the number of failure parts “A” in which the upper category “smoke” has occurred, and stores the accumulation result “5” in the storage device 120 as the number information. Let The counting unit 112 accumulates the number of failure parts “B” in which the upper category “smoke” has occurred, and causes the storage device 120 to store the accumulation result “4” as the number information. The totaling unit 112 accumulates the number of failure parts “C” in which the upper category “smoke” has occurred, and causes the storage device 120 to store the accumulation result “2” as the number information. Furthermore, the totaling unit 112 causes the storage device 120 to store the number of cases where the upper category “smoke” has occurred, that is, “11”, which is the total number of cases of each failed part, as the number information.

  Similarly, for the lower category “white smoke” and the lower category “black smoke”, the counting unit 112 accumulates the number of occurrences for each failure part and causes the storage device 120 to store the accumulation result as the number information. In the example shown in FIG. 4A, the number of occurrences of “white smoke” at the failure site “A” is “4”, and the number of occurrences of “white smoke” at the failure site “B” is “1”. Yes, the number of occurrences of “white smoke” at the fault site “C” is “1”, and the total number of occurrences of “white smoke” is “6”. The number of occurrences of “black smoke” at the failure part “A” is “1”, the number of occurrences of “black smoke” at the failure part “B” is “3”, and the “black” at the failure part “C” The number of occurrences of “smoke” is “1”, and the total number of occurrences of “black smoke” is “5”.

  The totaling unit 112 accumulates the number of occurrences of each failure site for the failure status of the lower category, and then accumulates the number of occurrences of failure states of all the lower categories included in the upper category for each failure site. The number of occurrences of the failure state of the category may be obtained. That is, after obtaining the number of cases in the lower table of FIG. 4A, the number of cases in the upper table of FIG. 4A may be obtained from the result.

  The usage determination unit 113 determines, for each lower category CBj, whether or not the failure state classified into the lower category CBj is used for failure diagnosis by the first determination process and the second determination process, and uses the usage determination result. A usage determination process stored in the database 125 is executed. Note that the use determination unit 113 determines that the upper category CAi is used when a failure state corresponding to the upper category occurs even once. Based on the number of cases counted by the counting unit 112, the usage determining unit 113 determines whether or not to use the failure state classified into the lower category CBj for failure diagnosis. Hereinafter, a method for determining the use of the lower category CBj will be described in detail.

-First determination process-
As the first determination process, the usage determination unit 113 determines whether or not the maximum value Sx is greater than or equal to the first threshold value t1 among the number of occurrences of the failure state of the lower category CBj that has occurred at each failure site. When the maximum value Sx of the number of failure states of the lower category CBj occurring at each failure site is equal to or greater than the first threshold value t1 (Sx ≧ t1), the usage determining unit 113 diagnoses the failure state of the lower category CBj. It is determined that it will be used. When the maximum value Sx of the number of occurrences of the failure state of the lower category CBj occurring at each failure site is less than the first threshold t1 (Sx <t1), the usage determining unit 113 executes the second determination process.

  For example, a case where the first threshold t1 is “4” will be described. Since the maximum value Sx of the number of occurrences of the lower category “white smoke” shown in FIG. 4A is “4” of the part A, the use determination unit 113 determines that the lower category “white smoke” is used for failure diagnosis. To do. On the other hand, since the maximum value Sx of the number of occurrences of the lower category “black smoke” is “3” of the part B, the usage determination unit 113 ends the first determination process and changes to the lower category “black smoke”. The second determination process is executed for the same.

  In the case where the first threshold t1 used in the first determination process is a small numerical value, there are more failure states for each state of the lower category used than in the case of a large numerical value. On the contrary, when the first threshold value t1 is a large numerical value, there are fewer failure states for each state of the lower category used than when the first threshold value t1 is a small numerical value. As the first threshold t1, a predetermined value is stored in the storage device 120 as an initial value, but is updated by the threshold setting unit 114.

  When the total number of failure statuses by state of the lower category used increases, the number of branches of a diagnostic tree (see FIG. 5) displayed on the display screen of the display device 108d of the information terminal 108, which will be described later, becomes enormous and complicated. There is a risk of becoming. The threshold value setting unit 114 sets the first threshold value t1 so that the total number of failure states for each lower category state used does not exceed a predetermined value (for example, 100). The threshold value setting unit 114 sets the correction value dt1 to the first threshold value t1 when the total number of failure states for each lower-category state used is equal to or greater than a third threshold value t3 (for example, t3 = 90) that is smaller than the predetermined value. Add and set as a new first threshold t1. That is, the threshold setting unit 114 increases the first threshold t1 when the total number of failure states determined to be used for failure diagnosis is equal to or greater than a predetermined third threshold t3.

  As a result, when the total number of failure states according to the state of the lower category used is small, the determination is made using the low first threshold value t1, and the failure states according to the state of the lower category used are positively increased. Can be made. When the total number of failure states by state of the lower category used increases, the threshold setting unit 114 performs an update process for increasing the currently set first threshold t1 by correction. Thereby, it is possible to prevent the total number of failure states for each state of the lower category to be used from increasing excessively. That is, even when the failure diagnosis apparatus 101 is operated over a long period of time, the number of diagnostic tree branches (the number of items in the lower category) can be kept within a certain range.

-Second determination process-
As the second determination process, the usage determination unit 113 determines whether to use the failure state of the lower category CBj for failure diagnosis using the following equation (1).
(Sx / St) / (Lp / Lt) ≧ t2 (1)
(Sx is the maximum number of failure states of the lower category CBj aggregated for each failure part, St is the total number of failure states of the lower category, and Lp is the number of failure states of the lower category aggregated for each failure part. , Lt is the total number of failure states of the upper category of the upper category of the upper category of the failure state of the lower category. , T2 is a second threshold value (t2> 1) larger than 1, and is stored in the storage device 120 in advance.

  Since the second threshold value t2 is larger than 1, the formula (1) is established when at least Sx / St is larger than Lp / Lt. In other words, the expression (1) is satisfied because the number of occurrences in the corresponding part with respect to the total number of occurrences of the failure state in the lower category compared to the ratio of the number of occurrences in the corresponding part to the total number of occurrences of the failure state in the upper category. This is a case where the ratio of is large. In this case, the use determination unit 113 determines that the failure status of the lower category can be used for failure diagnosis.

  When the expression (1) is satisfied, the usage determination unit 113 determines to use the failure state of the lower category. When the expression (1) is not satisfied, the usage determination unit 113 determines that the failure state of the lower category is not used.

  For example, a case where the second threshold t2 is “1.5” will be described. The maximum value Sx of the number of occurrences of the lower category “black smoke” shown in FIG. 4A is “3” of the part B, and the total number of occurrences St of the lower category “black smoke” is 5. The number of occurrences Lp of the upper category “smoke” in the part B is “4”, and the total number of occurrences Lt of the upper category “smoke” is “11”. In this case, since Expression (1) is satisfied, the usage determination unit 113 determines that the lower category “black smoke” is used for failure diagnosis.

  FIG. 4B is a diagram illustrating an example of a usage database stored in the storage device. As illustrated in FIG. 4B, the usage determination unit 113 stores the usage determination result (“use” or “not use”) in the storage device 120 for each failure state for each lower category state. In the example shown in FIG. 4B, “white smoke” and “black smoke” are used for failure diagnosis. Note that, as described above, it is determined that a failure state for each higher-level category state is used when the failure state occurs even once.

  When a service person performs a failure diagnosis start operation using the input device 108i of the information terminal 108, a start operation signal is transmitted to the failure diagnosis device 101 via the network 107, and the display control unit 115 of the failure diagnosis device 101 uses the usage database 125. The display image data is generated with reference to the number database 124. The display control unit 115 transmits the generated display image data to the control device 108c of the information terminal 108 via the network 107. The control device 108c of the information terminal 108 displays the received display image data on the display device 108d.

  5 and 6 are diagrams illustrating an example of a display screen of the display device of the information terminal. As shown in FIG. 5, a diagnostic tree image 181 having a tree structure is displayed on the display device 108d. When the service person operates the input device 108i of the information terminal 108 and selects “smoke”, “white smoke” and “black smoke” in a layer below “smoke” are displayed. When the service person operates the input device 108i of the information terminal 108 and selects “black smoke”, the number database 124 of the failure diagnosis apparatus 101 is referred to, and a number image 182 indicating the number of occurrences of “black smoke” for each part is obtained. Is displayed. The display method is not limited to the horizontal bar graph, and a pie chart or a numerical value may be displayed. Moreover, when expressing by a numerical value, you may represent by the number of cases, and may represent by the ratio with respect to the total number.

  The service person looks at the image displayed on the display screen of the display device 108d, and when “black smoke” is generated, the service person can know that there is a high possibility that the part B is a faulty part. As a result, the inspection efficiency can be improved.

  FIG. 5 shows an image displayed when each of “white smoke” and “black smoke” is used for failure diagnosis, whereas FIG. 6 shows “white smoke” and “black smoke”. Each image is displayed when not used for failure diagnosis. The display image in FIG. 5 corresponds to the database information shown in FIG. 4, but the display image in FIG. 6 does not correspond to the database information shown in FIG. Is shown.

  As shown in FIG. 6, when “white smoke” and “black smoke” are not used for failure diagnosis, the service person operates the input device 108 i of the information terminal 108 and selects “smoke”. However, “white smoke” and “black smoke” in the lower hierarchy of “smoke” are not displayed. In this case, the number database 124 of the failure diagnosis apparatus 101 is referred to, and a number image 182 indicating the number of occurrences of “smoke” for each part is displayed. The display method is not limited to the horizontal bar graph, and a pie chart or a numerical value may be displayed.

  FIG. 7 is a flowchart illustrating an example of processing by a program executed by the control device of the failure diagnosis apparatus. In the process shown in FIG. 7, for example, once a day, the processes after step S100 are periodically executed.

  In step S100, the control device 110 refers to the maintenance history database 121 and the classification master database 122 and executes the classification process to update the classification database 123 (newly created at the first time), and proceeds to step S110.

  In step S110, the control device 110 updates the number database 124 by executing a totaling process (new creation at the first time), and proceeds to step S120. The control device 110 executes a loop process for performing failure state use determination processing from step S130 to step S160 described below for each failure state of the lower category (steps S120 and S170). When the failure state use determination processing is completed for all (N) failure states in the lower category, the processing illustrated in FIG. 7 ends.

  In the loop processing, in step S130, the control device 110 determines whether or not the maximum value Sx of the number of occurrences of failure states classified into the lower category CBj that occurred in each failure site is equal to or greater than the first threshold t1 (step S130). First determination process). If an affirmative determination is made in step S130, the process proceeds to step S150, and if a negative determination is made in step S130, the process proceeds to step S140.

  In step S140, the control device 110 determines whether or not the failure state classified into the lower category CBj is used for failure diagnosis according to the equation (1) (second determination process). If a positive determination is made in step S140, the process proceeds to step S150. If a negative determination is made in step S140, the process proceeds to step S160.

  In step S150, the control device 110 determines that the failure state classified into the lower category CBj is used for failure diagnosis, stores the determination result in the storage device 120, and updates the usage database 125. In step S160, the control device 110 determines that the failure state classified into the lower category CBj is not used for failure diagnosis, stores the determination result in the storage device 120, and updates the usage database 125.

According to the embodiment described above, the following operational effects can be obtained.
(1) The work machine failure diagnosis apparatus 101 includes a storage device 120 that stores information on a failure state and a failure part that are input by the input device 108i of the information terminal 108, a failure state that includes at least a higher category and a higher category. The classification unit 111 that classifies each of the lower categories of the lower hierarchy, the totaling unit 112 that totals the number of failure states classified by the classification unit 111 for each failure part, and the failure status that is totalized by the totaling unit 112 Based on the number of cases, when it is determined by the use determination unit 113 that determines whether or not the failure state classified in the lower category is used for failure diagnosis, and the use determination unit 113 does not use the failure state for failure diagnosis, The failure state classified into the lower category is not displayed on the display device 108d of the information terminal 108, and the failure state classified into the upper category is not displayed. A display control unit that displays on the display device 108d of the information terminal 108 when the use determination unit 113 determines that the failure state is to be used for failure diagnosis and is displayed on the display device 108d of the terminal 108. 115. As a result, even when only a small number of maintenance history information is stored, an appropriate failure diagnosis can be performed by using the failure state classified in the upper category for failure diagnosis. In addition, when a large number of maintenance history information is stored, the failure status classified into the lower categories can be used for failure diagnosis, improving the accuracy of failure diagnosis and improving the work efficiency of failure diagnosis. it can.

(2) The usage determining unit 113 determines whether or not the number of failure states in the lower category aggregated for each failure part is equal to or greater than a first threshold value t1, and is equal to or greater than the first threshold value t1. Determines that the failure state is to be used for failure diagnosis, and executes the second determination process if it is less than the first threshold t1. Thereby, at least the failure status of the lower category having a high occurrence frequency is used for failure diagnosis, so that the accuracy of failure diagnosis can be improved.

(3) Even if the number of lower-category failure states totaled for each failure site is less than the first threshold t1, the usage determination unit 113 determines that the failure state is a failure diagnosis when Expression (1) is satisfied. It is determined that it will be used. Thereby, even if it is a case where occurrence frequency is low, what is useful as a failure state can be extracted.

(4) The threshold setting unit 114 increases the first threshold t1 when the total number of failure states determined to be used for failure diagnosis is equal to or greater than a predetermined third threshold t3. Thereby, it can prevent that the number of branches of a diagnostic tree increases too much, and can prevent the diagnostic tree image 181 becoming complicated.

The following modifications are also within the scope of the present invention, and one or a plurality of modifications can be combined with the above-described embodiment.
(Modification 1)
In the embodiment described above, an example (see FIG. 3B) in which one keyword is set for one lower category has been described, but the present invention is not limited to this.
(Modification 1-1)
As shown in FIG. 8A, one keyword group composed of a plurality of keywords may be set for one lower category. In the classification master database 122B shown in FIG. 8A, a keyword group including “white” and “smoke” is set for the lower category “white smoke”. In this case, as shown in FIG. 8B, when the text data of the failure state in the maintenance history database 121B includes “white” and “smoke”, the usage determining unit 113 assigns the failure state to the lower category “ Classified as “white smoke”. Note that the order of “white” and “smoke” is determined independently. For example, if the text data of the fault state is “white smoke has been emitted”, “white smoke has risen”, and “smoke is generated. The color of the smoke is white”, all fall under the subcategory “white smoke” being classified.

(Modification 1-2)
For one subcategory, a plurality of keywords or a plurality of keyword groups may be set as shown in FIG. In the classification master database shown in FIG. 9A, three types of keyword groups are set for one subcategory “white smoke” in 122C. The top keyword group consists of “white” and “exhaust”, the middle keyword group consists of “white” and “gas”, and the bottom keyword group consists of “white” and “smoke”. . As shown in FIG. 9B, when any one of the three types of keyword groups is included in the failure state text data in the maintenance history database 121C, the usage determination unit 113 assigns the failure state to the lower category “white smoke”. "." In the example shown in FIG. 9B, all are classified into the lower category “white smoke”.

(Modification 2)
Examples of lower categories and lower category keywords are not limited to those described above. For example, the lower-category keyword group may be composed of “idling rotation” and “speed abnormality”, and “idling rotation speed abnormality” may be provided as the lower category. The lower-category keyword group may be configured by “idling rotation” and “variation”, and “idling rotation variation” may be provided as the lower category. In this case, “idling rotation (abnormality)” can be provided as the upper category.

(Modification 3)
In the above-described embodiment, the example in which the failure state is classified into the upper category and the lower category has been described, but the present invention is not limited to this. Similarly, the failure part may be classified into an upper category and a lower category. In this case, the information on the failed part is input in text instead of code. In the present modification, a classification master database, a classification database, a number database, and a usage database for a failure site are provided in the storage device 120 of the failure diagnosis apparatus 101.

  FIG. 10A is a diagram illustrating an example of a classification master database (failure site) according to the present modification. In the classification master database 222, “engine related parts” is stored as a higher category, and “injection nozzles” and “intake / exhaust valves” are stored as lower categories in the lower hierarchy of “engine related parts”. The keyword “engine” and the keyword “nozzle” are set in the keyword group set corresponding to the lower category “injection nozzle”. The keyword “engine” and the keyword “valve” are set in the keyword group set corresponding to the lower category “suction / exhaust valve”.

  The classification unit 111 uses the maintenance history database and the classification master database 222 to classify the failure parts of the maintenance history database into the lower categories by parts, and further classify them into the upper categories in the higher hierarchy of the lower categories. The classification unit 111 executes a classification process for storing the classified classification information for each part in the classification database. As a classification process, the classification unit 111 refers to the text data of the failure part in the maintenance history database for each identification number (ID), and whether or not a keyword group registered in the classification master database 222 in advance is included in the text data. Determine whether. When the keyword group registered in the classification master database 222 is included in the text data of the failed part, the classification unit 111 performs a classification process of the lower category corresponding to the keyword and the upper hierarchy of the lower category. The failure part is classified into the upper category, and the classification information is stored in the classification database.

  The tabulation unit 112 tabulates the number of faulty parts for each category of failure state. For example, the totaling unit 112 is classified into the number X1 of failure parts classified into the lower category “injection nozzle” and the lower category “intake / exhaust valves” in the failure state classified into the lower category “white smoke”. The number X2 of failure parts is calculated. Similarly, the totaling unit 112 is classified into the number Y1 of failure parts classified into the lower category “injection nozzle” and the lower category “intake / exhaust valves” in the failure state classified into the lower category “black smoke”. The number Y2 of failed parts is calculated. From these calculation results, the counting unit 112 calculates the number Z1 (Z1 = X1 + X2) of failure parts classified into the upper category “engine-related parts” in the failure state classified into the lower category “white smoke”, and the lower order The number Z2 (Z2 = Y1 + Y2) of failure parts classified into the upper category “engine-related parts” in the failure state classified into the category “black smoke” is calculated.

  The use determination unit 113 determines that the failure part in the lower category is used for failure diagnosis when the largest value among the number X1 and the number X2 of failure parts is equal to or greater than a predetermined fourth threshold value. In this case, as shown in FIG. 10B, the display control unit 115 reflects the number of failure sites in the lower category in the number image 282 when “white smoke” is selected.

  When the largest value of the number X1 and the number X2 of failure parts is less than a predetermined fourth threshold value, the usage determination unit 113 does not use the failure part of the lower category for failure diagnosis, and does not use the failure part in the upper hierarchy. It is determined that the failure part is used. In this case, as shown in FIG. 10C, the display control unit 115 reflects the number of failure sites in the upper category in the number of images 282 when “white smoke” is selected.

  In this way, the failure part is classified into at least a higher category and a lower category of a lower hierarchy of the higher category, and the number of classified failure parts is totaled for each failure state, and the total failure parts are counted. Based on the number of cases, it is determined whether or not to use the failure part classified in the lower category for failure diagnosis. If it is determined not to use, the display unit 108d displays the failure part classified in the lower category. Instead, the failure part classified in the upper category may be displayed on the display device 108d, and if it is determined to be used, the failure part classified in the lower category may be displayed on the display device 108d. Thereby, the estimation accuracy of failure diagnosis can be improved.

(Modification 4)
In the above-described embodiments, examples of two types of categories, the upper category and the lower category, have been described, but the present invention is not limited to this. A category may be provided at a level higher than the upper category, or a category may be provided at a level lower than the lower category. For example, two or more categories such as “white smoke is excessive” and “white smoke is generated and engine start failure” may be provided in a hierarchy below “white smoke”.

(Modification 5)
In the above-described embodiment, the example in which the failure state information and the failure part information corresponding to the failure state are individually registered has been described, but the present invention is not limited to this. Both the failure state and the failure part may be entered in a single registration area as text. For example, it is possible to store a sentence such as “white smoke was discharged. The cause of the failure was deterioration of the part A” in the registration area of the failure state / part of the identification number (ID) 1. . In this case, the control device 110 determines whether or not a keyword corresponding to the failure state is included in this registration area, and whether or not a keyword corresponding to the failure part is included, and determines whether to use failure diagnosis. I do.

(Modification 6)
In the above-described embodiment, information on the failure state and the failure part is input to the information terminal 108, and the information on the failure state and the failure part is transmitted from the information terminal 108 to the failure diagnosis apparatus 101. However, the present invention is not limited to this. For example, information on a failure state and a failure part input to the control device 108 c by the input device 108 i of the information terminal 108 is transmitted to the control device 109 c mounted on the work machine 109, and the failure diagnosis device 101 receives the information from the work machine 109. Information may be transmitted. In addition, the failure state and failure part information input to the control device 109c by the input device 109i mounted on the work machine 109 may be transmitted to the failure diagnosis device 101 without using the information terminal 108. Further, the service person records the contents of the maintenance work of the work machine 109 in a document, refers to this document, and the administrator of the management center inputs information on the failure state and the failure part by using the input device 131 of the failure diagnosis apparatus 101. May be.

(Modification 7)
In the embodiment described above, display image data generated based on information stored in the usage database 125 and the number database 124 of the failure diagnosis apparatus 101 is transmitted to the information terminal 108 via the network 107, and the information terminal 108 Although the example which displays the diagnostic tree image 181 grade | etc., On the display screen of the display apparatus 108d was demonstrated, this invention is not limited to this. The display image data may be transmitted from the failure diagnosis apparatus 101 to the control device 109c of the work machine 109, and the diagnosis tree image 181 or the like may be displayed on the display device 109d mounted on the work machine 109. The diagnosis tree image 181 or the like may be displayed on the display device 132 of the failure diagnosis apparatus 101. In this case, the administrator of the management center confirms the diagnostic tree image 181 and the number of images 182 displayed on the display screen of the display device 132, so that the administrator can obtain an accurate diagnosis from the administrator to the service person using a mobile phone or the like. You can give instructions.

(Modification 8)
In the above-described embodiment, when the keyword set for each lower category of the classification master database 122 is included in the failure state text data of the maintenance history database 121, the failure state is classified into the lower category, and Although the example of classifying into the upper category of the upper hierarchy of the lower category has been described, the present invention is not limited to this. For example, as a method of classification into upper categories, when a keyword is set for each upper category and the set keyword is included in the failure state text data of the maintenance history database 121, the upper category corresponding to the keyword is set. You may classify.

(Modification 9)
In the embodiment described above, when the maximum value Sx of the number of occurrences of the failure state of the lower category CBj occurring at each failure site is less than the first threshold t1 (Sx <t1), the usage determining unit 113 performs the second determination Although the example which performs a process was demonstrated, this invention is not limited to this. When the maximum value Sx of the number of failure states of the lower category CBj generated at each failure site is less than the first threshold t1 (Sx <t1), the usage determining unit 113 performs failure diagnosis on the failure state of the lower category CBj. You may decide not to use it. In this case, the second determination process is omitted. Thereby, since a failure state with a low occurrence frequency is not used for failure diagnosis, and only a failure state with a high occurrence frequency is used for failure diagnosis, it is possible to prevent the diagnosis tree from becoming complicated.

(Modification 10)
In the above-described embodiment, the example in which the first threshold t1 is changed by the threshold setting unit 114 has been described, but the present invention is not limited to this. The first threshold t1 may be stored in the storage device 120 as a predetermined constant numerical value and may not be changed. In addition, the service person may operate the input device 108i to arbitrarily set the first threshold value t1.

(Modification 11)
In the above-described embodiment, the example in which the third threshold value t3 is stored in the storage device 120 as a predetermined constant value has been described, but the present invention is not limited to this. The service person may operate the input device 108i to arbitrarily set the third threshold value t3.

(Modification 12)
In the above-described embodiment, the example in which the failure diagnosis apparatus 101 is provided in the management center has been described, but the present invention is not limited to this. The function provided in the failure diagnosis apparatus 101 may be provided to the control device 109c of the work machine 109 or the control device 108c of the information terminal 108.

(Modification 13)
In the embodiment described above, a crawler hydraulic excavator (backhoe) has been described as an example of the work machine 109, but the present invention is not limited to this. The present invention can also be applied to, for example, a loading excavator and a wheeled hydraulic excavator. Furthermore, the present invention can be similarly applied to various work machines such as a crane, a wheel loader, and a dump truck.

  Although various embodiments and modifications have been described above, the present invention is not limited to these contents. Other embodiments conceivable within the scope of the technical idea of the present invention are also included in the scope of the present invention.

100 failure diagnosis system, 101 failure diagnosis device, 108 information terminal, 108c control device, 108d display device, 108i input device, 109 work machine, 109c control device, 109d display device, 109i input device, 110 control device, 111 classification unit, 112 totaling unit, 113 usage determining unit, 114 threshold setting unit, 115 display control unit, 120 storage device, 131 input device, 132 display device, t1 first threshold value, t2 second threshold value, t3 third threshold value

Claims (5)

In the work machine failure diagnosis device,
A storage device for storing information on a failure state and a failure part input by the input device;
A classification unit that classifies the failure state into at least a first state category and a second state category in a lower hierarchy of the first state category;
A totaling unit that counts the number of failure states classified by the classification unit for each failure site;
A use determining unit that determines whether or not to use the failure state classified in the second state category for failure diagnosis based on the number of the failure states counted by the counting unit;
If the use determining unit determines that the failure state is not used for failure diagnosis, the failure state classified in the second state category is not displayed on the display device, and the failure state classified in the first state category is displayed. A display control unit that displays the failure state classified in the second state category on the display device when the use determination unit determines to use the failure state for failure diagnosis. A fault diagnosis device for a work machine, comprising: a control device; The failure diagnosis apparatus for a work machine according to claim 1,
The usage determination unit determines whether or not the number of failure states of the second state category aggregated for each failure part is greater than or equal to a predetermined first threshold, and is greater than or equal to the first threshold. Determines that the failure state is used for failure diagnosis, and determines that the failure state is not used for failure diagnosis when the failure state is less than the first threshold value. The failure diagnosis device for a work machine according to claim 2,
Even if the number of failure states of the second state category aggregated for each failure part is less than the first threshold, the usage determination unit determines that the failure state is a failure diagnosis when the following equation is satisfied. A fault diagnosis device for a work machine, characterized in that it is determined to be used.
(Sx / St) / (Lp / Lt) ≧ t2
(Sx is the maximum value of the number of failure states of the second state category counted for each failure site, St is the total number of failure states of the second state category, and Lp is the number of failures counted for each failure site. The number of failure states of the first state category in the upper hierarchy of the failure state of the second state category at the failure portion that has the maximum number of failure states of the two categories, Lt is the failure state of the second state category The total number of failure states of the first state category in the upper hierarchy, t2 is a second threshold value greater than 1.) The failure diagnosis device for a work machine according to claim 2,
The control device includes a threshold setting unit that increases the first threshold when the total number of failure states determined to be used for the failure diagnosis is equal to or greater than a predetermined third threshold. Failure diagnosis device for work machines. The failure diagnosis apparatus for a work machine according to claim 1,
The classification unit classifies the failed part into at least a first part category and a second part category in a lower hierarchy of the first part category,
The tabulation unit tabulates the number of faulty parts classified by the classification unit for each fault state,
The usage determining unit determines whether to use the faulty part classified in the second part category for fault diagnosis based on the number of cases of the faulty part totaled by the totaling part,
When the use determination unit determines that the failure part is not used for failure diagnosis, the display control unit does not display the failure part classified in the second part category on the display device, and the first part category The faulty part classified into the second part category is displayed on the display device when the faulty part classified into the second part category is displayed on the display device and the use determining unit determines that the faulty part is used for fault diagnosis. A fault diagnosis device for a work machine characterized by the above.

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