WO2016190434A1 - Dispositif d'assistance d'excavateur - Google Patents

Dispositif d'assistance d'excavateur Download PDF

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Publication number
WO2016190434A1
WO2016190434A1 PCT/JP2016/065809 JP2016065809W WO2016190434A1 WO 2016190434 A1 WO2016190434 A1 WO 2016190434A1 JP 2016065809 W JP2016065809 W JP 2016065809W WO 2016190434 A1 WO2016190434 A1 WO 2016190434A1
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WO
WIPO (PCT)
Prior art keywords
excavator
maintenance work
record
shovel
data
Prior art date
Application number
PCT/JP2016/065809
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English (en)
Japanese (ja)
Inventor
理仁 楠見
方土 古賀
Original Assignee
住友重機械工業株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 住友重機械工業株式会社 filed Critical 住友重機械工業株式会社
Priority to CN201680030594.8A priority Critical patent/CN107614804B/zh
Priority to JP2017520821A priority patent/JP6509335B2/ja
Publication of WO2016190434A1 publication Critical patent/WO2016190434A1/fr

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    • E—FIXED CONSTRUCTIONS
    • E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
    • E02F—DREDGING; SOIL-SHIFTING
    • E02F9/00—Component parts of dredgers or soil-shifting machines, not restricted to one of the kinds covered by groups E02F3/00 - E02F7/00
    • E02F9/20—Drives; Control devices
    • E—FIXED CONSTRUCTIONS
    • E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
    • E02F—DREDGING; SOIL-SHIFTING
    • E02F9/00—Component parts of dredgers or soil-shifting machines, not restricted to one of the kinds covered by groups E02F3/00 - E02F7/00
    • E02F9/26—Indicating devices
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring

Definitions

  • the present invention relates to an excavator support device that supports excavator maintenance.
  • Patent Document 1 discloses a shovel and a shovel management device that display a plurality of suspected parts that are presumed to have failed when a failure occurs in the shovel on a display device.
  • the plurality of suspected parts are displayed with priorities. For this reason, it is possible to narrow down the failure location easily.
  • pre-maintenance preventive maintenance
  • maintenance defect investigation, defect recovery work (repair), periodic inspection, etc.
  • An object of the present invention is to provide useful information for making an operation plan in consideration of non-operation time accompanying pre-maintenance, and useful information for determining whether or not to perform pre-maintenance. To provide a simple excavator support device.
  • a database consisting of a plurality of records including operation state data indicating the operation state of the excavator and maintenance work data indicating the content of the maintenance work, An output device;
  • the maintenance work data includes work time information indicating work time required for the maintenance work,
  • the processor is Based on a comparison result between the operation state data acquired from the excavator to be evaluated and the operation state data of each of the records included in the database, at least one record is extracted and extracted There is provided a shovel support device that outputs the work time information stored in the record to the output device.
  • a record corresponding to a past similar defect case can be extracted. From the output work time information, the work time required for the past pre-maintenance work can be confirmed.
  • an appropriate operation plan of the excavator can be made based on the work time information.
  • the work time predicted for the pre-maintenance work can be used as a material for determining whether the pre-maintenance is to be performed immediately or the operation is continued if a minor malfunction that can be performed occurs.
  • FIG. 1 is a block diagram of an excavator support device according to an embodiment.
  • 2A and 2B are diagrams showing a field structure of a database record.
  • FIG. 3 is a diagram illustrating a signal transmission / reception sequence between the shovel to be evaluated and the shovel support apparatus, and a processing flow of the shovel support apparatus.
  • FIG. 4 is a diagram showing a vector space having a plurality of variables constituting the operation state data as elements.
  • 5A and 5B are diagrams illustrating an example of an image output in step S3 (FIG. 3).
  • FIG. 6A is a diagram illustrating an example of an image displayed when the link button of each record in FIG. 5B is clicked or tapped.
  • FIG. 6A is a diagram illustrating an example of an image displayed when the link button of each record in FIG. 5B is clicked or tapped.
  • FIG. 6B is a diagram illustrating an example of an image displayed when link buttons of two records in FIG. 5B are selected.
  • FIG. 7 is a diagram of a shovel support apparatus, an evaluation target shovel, and a management apparatus according to another embodiment.
  • FIG. 8 is a diagram illustrating a signal transmission / reception sequence and a processing flow among the shovel to be evaluated, the management device, and the shovel support device.
  • FIG. 9 is a diagram illustrating a signal transmission / reception sequence and a processing flow between a management device and an evaluation target shovel for explaining a shovel support device according to still another embodiment.
  • FIG. 10 is a diagram illustrating a signal transmission / reception sequence and a processing flow between the shovel support apparatus, the management apparatus, and the evaluation target shovel according to still another embodiment.
  • FIG. 11 is a diagram illustrating a signal transmission / reception sequence and a processing flow between a management device and an evaluation target shovel for explaining a shovel support device according to still another embodiment.
  • FIG. 12 is a diagram showing a field structure of a database record.
  • FIG. 1 shows a block diagram of a portable terminal 40 that operates as an excavator support device according to the embodiment.
  • the portable terminal 40 includes a processing device 31, a database 32, a receiving device 33, and an output device 34.
  • the processing device 31 includes, for example, a central processing unit (CPU) and a memory, and various functions are realized by the CPU executing computer programs stored in the memory.
  • CPU central processing unit
  • the database 32 is composed of a plurality of records corresponding to failure cases, and each record includes operation state data representing the operation state of the excavator and maintenance work data representing the content of the maintenance work.
  • operation state data representing the operation state of the excavator
  • maintenance work data representing the content of the maintenance work. The detailed configuration of the database 32 will be described later with reference to FIGS. 2A and 2B.
  • the receiving device 33 receives signals and data from a plurality of excavators 20 through a communication line.
  • the received signals and data are transferred to the processing device 31 and processed.
  • the processing result of the processing device 31 is output to the output device 34.
  • the output device 34 includes, for example, a display device, a transmitter, and the like.
  • the display device displays the processing result of the processing device 31.
  • the transmitter transmits the processing result of the processing device 31 to another device.
  • the excavator 20 to be supported by the portable terminal 40 includes a processing device 21, an input / output device 22, a sensor 23, and a communication device 24.
  • the sensor 23 detects various operation state data representing the operation state of the excavator. Further, the sensor 23 detects external environment data that depends on the external environment of the excavator 20. External environment data includes outside air temperature, atmospheric pressure, and the like.
  • the communication device 24 transmits and receives signals and data to and from the mobile terminal 40 through a communication line.
  • the operator or the administrator of the excavator 20 gives a command to the processing device 21 through the input / output device 22.
  • a switch, a touch pad, a liquid crystal display, a touch panel, or the like is used as the input / output device 22.
  • the processing device 21 processes the detection result of the sensor 23, the command input from the input / output device 22, and the signal and data received through the communication device 24.
  • the processing result of the processing device 21 is output to the input / output device 22 or transmitted to the portable terminal 40 through the communication device 24.
  • the mobile terminal 40 operates as an excavator support device, but some of the functions of the mobile terminal 40 shown in FIG. 1 may be realized by a server installed in the management center.
  • the database 32 of the mobile terminal 40 may be realized by a server installed in the management center, and functions other than the database 32 may be realized by the mobile terminal.
  • the excavator support device may be realized by a device mounted on the excavator 20 instead of the mobile terminal 40, or a part of the functions of the mobile terminal 40 shown in FIG. It may be realized by an apparatus, and other functions may be realized by a server of the management center.
  • the processing device 31 of the mobile terminal 40 can access the database 32.
  • FIG. 2A shows the field structure of the record in the database 32.
  • One record corresponds to one defect case.
  • Each record is composed of a plurality of fields for storing basic data, defect contents, operation state data, and maintenance work data.
  • the basic data field stores information on the date and time when the trouble occurred and the model information of the excavator where the trouble occurred.
  • trouble contents such as gear breakage, pump breakage, oil leakage, deterioration of fuel consumption rate, and increase in vibration are stored.
  • the operation state data field is further divided into a plurality of subfields for storing a plurality of data representing the operation state of the excavator.
  • a plurality of data representing the operation state of the excavator For example, the engine speed average value, engine speed standard deviation, engine torque average value, engine torque standard deviation, hydraulic oil temperature, relief valve pressure, vibration information, and the like are stored in the subfield of the operation state data.
  • the maintenance work data field is further divided into a plurality of subfields in which time information required for the maintenance work, information on parts replaced in the maintenance work and the number thereof, and cost information required for the maintenance work are stored.
  • FIG. 2B shows the field structure of another record in the database 32.
  • one record is constituted by a plurality of failure cases having the same failure content and model.
  • Each record includes fields for storing an excavator model, defect contents, the number of cases, operation state data, and maintenance work data.
  • the number of defect cases corresponding to the record is stored in the number field.
  • an average value of a plurality of defect cases included in the record is set.
  • the work field information and the cost information subfields of the maintenance work data store the maximum value and average value of work times and the maximum value and average value of expenses, respectively, of a plurality of defect cases included in the record.
  • the replacement part subfield stores all replacement part information used in maintenance work for a plurality of failure cases included in the record, and the maximum value and average value of the number of replaced parts.
  • FIG. 3 shows a signal transmission / reception sequence between the shovel 20 to be evaluated and the portable terminal 40, and a processing flow of the portable terminal 40.
  • the operation status data is periodically transmitted from the excavator 20 to be evaluated to the mobile terminal 40.
  • the portable terminal 40 calculates the degree of similarity between the latest operating state data received from the evaluation target excavator 20 and the operating state data of each record in the database 32.
  • a record composed of individual defect cases shown in FIG. 2A may be used, or one defect case having the same defect content shown in FIG. 2B may be used. You may use the records summarized in An example of the similarity calculation method will be described later with reference to FIG.
  • step S2 a plurality of records having relatively high similarities are extracted.
  • step S3 the contents of the extracted records with high similarity are rearranged in the order of high similarity and output to the output device 34. An example of the output contents will be described later with reference to FIGS. 5A and 5B.
  • step S1 (FIG. 3)
  • FIG. 4 shows a vector space having a plurality of variables constituting the operation state data as elements.
  • One record in the database 32 corresponds to one vector.
  • Each vector is normalized so that the average value of each element of the vector representing the plurality of operation state data acquired during normal operation is 1 and the standard deviation is 1. For this reason, the end points of the vectors corresponding to the operation state data acquired during normal operation are gathered in the vicinity of the origin O.
  • the vector corresponding to the operation state data acquired when some trouble occurs is relatively longer than the vector corresponding to the operation state data acquired during normal operation.
  • FIG. 4 shows a three-dimensional vector space composed of three elements, that is, an engine speed average value, an engine speed standard deviation, and a hydraulic oil temperature.
  • a vector space of a dimension corresponding to the number of is defined.
  • a single record in the database 32 is represented by a single vector in the vector space.
  • three vectors corresponding to three records whose defect contents are defect A, defect B, defect C, and defect D are shown.
  • the direction of the vector indicating defect A and the direction of the vector indicating defect D are substantially the same, and the vector indicating defect A is longer than the vector indicating defect D. From these two cases, it is presumed that the defect A has already failed.
  • the defect D is milder than the defect A, and if the mild defect D is left unattended, it is assumed that there is a high risk of reaching the severe defect A. For this reason, it is desirable to perform pre-maintenance (preventive maintenance) at the stage of defect D.
  • the operation state data acquired from the shovel 20 to be evaluated is also expressed as one vector in the vector space.
  • the angle between the vector corresponding to the shovel 20 to be evaluated and the vector corresponding to each of the plurality of records is represented by ⁇ .
  • the similarity Ds between the operation state data of the shovel 20 to be evaluated and the operation state data of each record is defined by the cosine (cos ⁇ ) of the angle ⁇ . By calculating the cosine of the angle ⁇ , the similarity Ds can be obtained.
  • the degree Da of the malfunction of the shovel 20 to be evaluated can be defined by the vector length L.
  • FIG. 5A and FIG. 5B show an example of the image output in step S3 (FIG. 3).
  • the similarity is calculated using the database 32 shown in FIG. 2B.
  • FIG. 5A rearranged in descending order of similarity, the degree of failure, similarity, link button, failure content, number of cases, and the contents of the maintenance work data subfield of the database 32 are displayed.
  • the degree of the defect may be represented by a numerical value or a defect level.
  • level H level
  • level L indicating caution
  • level N indicating normal. You may classify.
  • the maintenance work data subfield includes work time information, cost information, and replacement part information.
  • the replacement part subfield includes replacement part information of each case and the number of replacements.
  • FIG. 5B shows an image displayed when the link button of each record in FIG. 5A is clicked or tapped.
  • a link button of a record When a link button of a record is clicked, a link button, basic data, defect content, operation state data, and maintenance work data are displayed for each defect case included in the record. From the displayed contents, it is possible to find a failure case that is most similar to the operation state data of the excavator 20 to be evaluated.
  • FIG. 6A shows an example of an image displayed when the link button of each record in FIG. 5B is selected by clicking or tapping. More detailed information about the defect case corresponding to the clicked record is displayed.
  • the information displayed includes excavator position information at the time of failure, hour meter, failure location, failure status, work classification, content of maintenance work, phenomenon (at the time of failure), work time required for maintenance work, maintenance charge
  • the name of the store in charge, the person in charge, overheads required for maintenance work, parts used, etc. are included.
  • Expenses are displayed in the expenses column for each item such as transportation cost and work cost.
  • the used parts name and the price of the parts are displayed in the used parts column. This detailed information can be utilized when performing maintenance work.
  • FIG. 6B shows an example of an image displayed when the link button of the two records in FIG. 5B is selected.
  • an example is shown in which two cases of a defect case 00001-0001 and a case 00001-0002 are selected.
  • one example is a problem situation that “the engine speed tends to decrease”, and the other example is a problem situation that “engine stall occurs when operated”.
  • pre-maintenance was performed from the contents of the work classification column.
  • the trouble recovery work was performed. From the column of work contents, it is understood that the fuel filter replacement and the engine oil replacement were performed in the pre-maintenance. It can be seen that the fuel filter replacement, the engine oil replacement, and the supply pump replacement were performed in the failure recovery work. Further, it can be seen that the work time of the trouble recovery work is longer than the work time of the pre-maintenance work, and the cost required for the trouble recovery work is higher than the cost required for the pre-maintenance.
  • the excavator 20 to be evaluated has a problem that the engine speed is likely to drop, the excavator administrator has a high risk of serious engine failure if the operation is continued as it is. Can be recognized.
  • the comparison results of the working time and cost of the two cases can be used as important information for determining whether or not pre-maintenance should be performed at the present time.
  • the administrator who creates the operation plan of the excavator 20 can use the degree of failure shown in FIG. 5A as a material for determining whether or not to perform pre-maintenance.
  • an appropriate operation plan of the excavator 20 can be made with reference to work time information of a record having a high degree of similarity.
  • the service person who performs the pre-maintenance work can prepare in advance a replacement part estimated to be necessary for the pre-maintenance work based on the information on the replacement part shown in FIG. 5A. Thereby, the frequency
  • the similarity is calculated based on the direction of the multidimensional vector having each variable of the operation status data as an element, but it is also possible to calculate the similarity using other multivariate analysis methods.
  • a multivariate analysis technique based on Bayesian estimation can be used.
  • a serious problem that is likely to occur in the future based on a comparison result between the operation state data acquired from the evaluation excavator 20 and the operation state data of a plurality of records in the database 32.
  • FIG. 7 shows a block diagram of the management device 50 according to the present embodiment, the shovel 20 to be evaluated, and the portable terminal 40 that operates as the shovel support device.
  • the processes of steps S1 and S2 shown in FIG. 3 are executed by the management apparatus (server) 50 arranged in the management center.
  • the management device 50 performs data communication not only with the shovel 20 to be evaluated but also with the mobile terminal 40.
  • the portable terminal 40 includes a display screen 41. For example, a touch panel is used as the display screen 41, and the display screen 41 also serves as an input device.
  • the processing result of the processing device 31 of the management device 50 is transmitted to the mobile terminal 40 via the transmitter of the output device 34.
  • the portable terminal 40 displays the data received from the management device 50 on the display screen 41 as an image.
  • FIG. 8 shows a signal transmission / reception sequence and processing flow among the excavator 20, the management device 50, and the portable terminal 40 to be evaluated.
  • the excavator 20 has a function of detecting a sign of failure based on the operation state data.
  • a neural network model, cluster analysis, Mahalanobis Taguchi method, or the like can be used to detect a failure sign.
  • Steps S1 and S2 are the same as steps S1 and S2 shown in FIG.
  • the management device 50 transmits the content of the extracted record with high similarity to the mobile terminal 40.
  • step SA1 the portable terminal 40 displays maintenance work data of a record having a high similarity on the display screen 41 (FIG. 7).
  • the contents displayed on the display screen 41 are the same as the contents shown in FIGS. 5A, 5B, 6A, and 6B.
  • the service staff confirms the content displayed on the mobile terminal 40 and performs pre-maintenance work.
  • step SA2 After the service staff performs the pre-maintenance work of the excavator 20, the information displayed in FIG. 6A and FIG. 6B is input to the portable terminal 40 in step SA2.
  • the mobile terminal 40 transmits information regarding the input pre-maintenance work to the management device 50.
  • the management device 50 newly adds a record of failure cases (cases of failure signs) to the database 32 having the structure shown in FIG. 2A based on the received information related to the pre-maintenance work. Further, 1 is added to the number of records corresponding to the database 32 having the structure shown in FIG. 2B, and the values of the subfields of the work status data and the maintenance work data are recalculated and updated.
  • the service person can see that a sign of failure has appeared on the excavator 20 by looking at the mobile terminal 40. Furthermore, it is possible to obtain information regarding the replacement parts estimated to be necessary for the pre-maintenance work and the number thereof. The service person can go to the pre-maintenance work site with replacement parts estimated to be necessary. Thereby, the delay of the pre-maintenance work due to insufficient preparation of replacement parts or the like can be suppressed.
  • FIG. 7 and 8 show an example in which the management device 50 and the portable terminal 40 support the pre-maintenance work and update the database 32.
  • the function of the management device 50 and the function of the mobile terminal 40 can be realized by one mobile terminal.
  • FIG. 9 shows a signal transmission / reception sequence between the shovel 20 to be evaluated and the management device 50, and a processing flow.
  • step SB1 a pre-maintenance estimation request is made through the input / output device 22 (FIG. 1) of the excavator 20 to be evaluated.
  • the excavator 20 transmits an estimation request signal to the management apparatus 50 and transmits the latest operation state data.
  • the management device 50 extracts records having a relatively high similarity by executing steps S1 and S2 based on the received operation state data. Steps S1 and S2 are the same as steps S1 and S2 shown in FIG.
  • the management device 50 transmits the content of the record with high similarity to the excavator 20 to be evaluated.
  • the excavator 20 displays maintenance work data or the like of a record with high similarity on the input / output device 22.
  • the display contents are the same as those shown in FIGS. 5A, 5B, 6A, and 6B.
  • the user can use the contents displayed on the input / output device 22 of the excavator 20 as a material for determining whether or not to perform pre-maintenance work.
  • step SA1 a part of the function (step SA1) of the portable terminal 40 shown in FIGS. 7 and 8 is realized by the shovel 20 to be evaluated. In this case, it can be said that the shovel support device is mounted on the shovel 20.
  • step SA3 a pre-maintenance estimation request command is input to the portable terminal 40.
  • the portable terminal 40 specifies the shovel 20 and transmits an estimation request signal to the management apparatus 50.
  • a server arranged in the management center is used for the management device 50.
  • the management device 50 transmits an operation state data transmission request signal to the estimation target shovel 20.
  • the shovel 20 that has received the operation state data transmission request signal transmits the latest operation state data to the management device 50.
  • the latest operation state data of the excavator 20 to be estimated is stored in the database 32, it is not necessary to transmit a transmission request signal for operation state data.
  • the management apparatus 50 extracts records having relatively high similarity by executing steps S1 and S2 based on the latest operation state data of the excavator 20 to be estimated. Steps S1 and S2 are the same as steps S1 and S2 shown in FIG. The content of the extracted record with high similarity is transmitted to the mobile terminal 40.
  • step SA1 the portable terminal 40 displays maintenance work data of a record having a high similarity on the display screen 41 (FIG. 7).
  • the process of step SA1 is the same as the process of step SA1 shown in FIG.
  • the sales agent service person Based on the maintenance work data displayed on the mobile terminal 40, the sales agent service person presents the necessity of the pre-maintenance work and the cost estimation result of the pre-maintenance work to the user who is the owner of the excavator 20. Can do. The user can determine whether or not to perform the pre-maintenance work with reference to the information presented by the service staff.
  • the functions of the portable terminal 40 and the management apparatus 50 may be realized by a single portable terminal in order to operate as the shovel support apparatus according to the embodiment shown in FIG.
  • FIGS. 11 and 12 a shovel support apparatus according to still another embodiment will be described.
  • differences from the embodiment shown in FIGS. 1 to 6A and 6B will be described, and description of common configurations will be omitted.
  • FIG. 11 shows a signal transmission / reception sequence between the shovel 20 to be evaluated and the mobile terminal 40 operating as the shovel support apparatus, and a processing flow of the mobile terminal 40.
  • external environment data is transmitted from the shovel 20 to be evaluated to the portable terminal 40 in addition to the operation state data.
  • the external environment data includes data representing the environment of the work site of the excavator 20, for example, data such as outside air temperature and atmospheric pressure.
  • FIG. 12 shows the structure of the database 32.
  • Each record corresponding to the defect case includes external environment data.
  • the plurality of records are classified into one of the plurality of clusters by performing cluster analysis based on the external environment data.
  • a well-known method can be applied to the cluster analysis.
  • the records of the same defect contents may be collected for each cluster to form one record.
  • Step S5 of FIG. 11 a cluster having external environment data similar to the external environment data of the excavator 20 to be evaluated is determined.
  • step S6 the degree of similarity between the operation state data of the shovel 20 to be evaluated and the operation state data of each record in a similar cluster in the database 32 is calculated.
  • the portable terminal 40 outputs the contents of at least one record having a relatively high similarity by executing steps S2 and S3.
  • the processes in steps S2 and S3 are the same as the processes in steps S2 and S3 shown in FIG.
  • the similarity of the operation state data is calculated only for records belonging to a cluster similar to the external environment of the shovel 20 to be evaluated. For this reason, compared with the case where all the records are made into the object of similarity calculation, the calculation amount for calculating similarity is reduced. Further, similar failure cases are extracted from the failure cases of the excavator operating in an environment similar to the external environment of the shovel 20 to be evaluated. For this reason, appropriate information regarding pre-maintenance can be obtained.
  • the function of the excavator support device is realized by the portable terminal 40.
  • the function of the shovel support apparatus may be realized by a server installed in the management center.
  • steps S5, S6, and S2 may be realized by a server installed in the management center, and step S3 may be realized by a portable terminal that operates as an excavator support device.

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  • Engineering & Computer Science (AREA)
  • Mining & Mineral Resources (AREA)
  • Civil Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Structural Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Component Parts Of Construction Machinery (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Operation Control Of Excavators (AREA)

Abstract

Le problème à résoudre dans le cadre de la présente invention est de proposer un dispositif d'assistance d'excavateur qui puisse fournir des informations utiles pour développer un plan de travail en prenant en considération le temps de non-travail dû à la maintenance et également fournir des informations utiles pour déterminer si une maintenance doit être réalisée. La solution proposée consiste en une base de données qui a été construite et qui comprend une pluralité d'enregistrements qui correspondent aux cas de dysfonctionnement d'excavateur et comprennent des données d'état de fonctionnement qui indiquent l'état de fonctionnement d'un excavateur et des données de travail de maintenance qui indiquent les détails du travail de pré-maintenance. Les données de travail de maintenance comprennent des informations en ce qui concerne le temps de travail requis pour le travail de pré- maintenance. En fonction du résultat de la comparaison des données d'état de fonctionnement acquises à partir de l'excavateur destiné à être évalué et des données d'état de fonctionnement pour chaque enregistrement dans la base de données, un processeur extrait au moins un enregistrement et envoie les informations de temps de travail stockées dans l'enregistrement extrait à un dispositif de sortie.
PCT/JP2016/065809 2015-05-27 2016-05-27 Dispositif d'assistance d'excavateur WO2016190434A1 (fr)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111007830A (zh) * 2019-11-22 2020-04-14 徐州徐工挖掘机械有限公司 一种挖掘机控制系统调试装置及调试方法
JP6987286B1 (ja) * 2020-12-25 2021-12-22 三菱電機株式会社 不具合情報管理システム、不具合情報管理方法および情報処理装置

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