US20140052349A1 - Shovel, monitoring device of the same and output device of shovel - Google Patents

Shovel, monitoring device of the same and output device of shovel Download PDF

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Publication number
US20140052349A1
US20140052349A1 US14/113,003 US201214113003A US2014052349A1 US 20140052349 A1 US20140052349 A1 US 20140052349A1 US 201214113003 A US201214113003 A US 201214113003A US 2014052349 A1 US2014052349 A1 US 2014052349A1
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Prior art keywords
shovel
image data
time
abnormal
determined
Prior art date
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Abandoned
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US14/113,003
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English (en)
Inventor
Kaoru Tsukane
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Sumitomo Heavy Industries Ltd
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Sumitomo Heavy Industries Ltd
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Assigned to SUMITOMO HEAVY INDUSTRIES, LTD. reassignment SUMITOMO HEAVY INDUSTRIES, LTD. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: TSUKANE, Kaoru
Publication of US20140052349A1 publication Critical patent/US20140052349A1/en
Abandoned legal-status Critical Current

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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
    • E02F9/26—Indicating devices
    • E02F9/267—Diagnosing or detecting failure of vehicles
    • 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
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0264—Control of logging system, e.g. decision on which data to store; time-stamping measurements
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0816—Indicating performance data, e.g. occurrence of a malfunction
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q2209/00—Arrangements in telecontrol or telemetry systems
    • H04Q2209/80—Arrangements in the sub-station, i.e. sensing device
    • H04Q2209/82—Arrangements in the sub-station, i.e. sensing device where the sensing device takes the initiative of sending data
    • H04Q2209/823—Arrangements in the sub-station, i.e. sensing device where the sensing device takes the initiative of sending data where the data is sent when the measured values exceed a threshold, e.g. sending an alarm

Definitions

  • the present invention relates to a shovel capable of determining an operational abnormality, a monitoring device of the shovel, and an output device mounted on a shovel capable of determining an operational abnormality.
  • a failure determination method for construction equipment based on a detection value detected by a sensor mounted on the construction equipment, has been known (see PTL 1). Failure information is sent to a center, and therefore a failure diagnosis procedure is extracted in the center, based on the sensor detecting an abnormal value. An operator of the construction equipment conducts a failure diagnosis in accordance with the failure diagnosis procedure.
  • An object of the invention is to provide a shovel which enables an operator to easily specify the cause of failure by making the operator confirm the circumstances at the time of failure and a monitoring device of the shovel.
  • a shovel including:
  • a temporary storage device that temporarily stores image data acquired by the imaging device
  • control device that performs an operation abnormality determination based on a detection value detected by the sensors and causes the image data, which corresponds to a period from a first time prior to a time at which an operation is determined to be abnormal to at least the time at which the operation is determined to be abnormal, to be transmitted from the temporary storage device to the abnormality information storage device when the operation is determined to be abnormal.
  • a shovel including:
  • a temporary storage device that temporarily stores image data acquired by the imaging device
  • control device that performs an operation abnormality determination based on a detection value detected by the sensors and causes the image data stored in the temporary storage device, which corresponds to a period from a first time prior to a time at which an operation is determined to be abnormal to at least the time at which the operation is determined to be abnormal, to be transmitted from the transmitter when the operation is determined to be abnormal.
  • a monitoring device of a shovel including:
  • a transceiver that receives a plurality of detection values detected by a sensor for detecting a plurality physical quantities relating to an operation state of the shovel and image data acquired by an imaging device installed on the shovel and transmits a command to the shovel;
  • control device performs an operation abnormality determination based on the detection values which are detected by the sensor and input from the transceiver and causes a command instructing transmission of image data, which corresponds to a period from a first time prior to a time at which an operation is determined to be abnormal to at least the time at which the operation is determined to be abnormal, to be transmitted to the shovel via the transceiver when the operation is determined to be abnormal, and
  • FIG. 1A and FIG. 1B are a side view and a plan view, respectively, of a shovel according to an embodiment 1.
  • FIG. 2 is a block diagram of the shovel according to the embodiment 1.
  • FIG. 3 is a flowchart showing a process of an image capture control device of the shovel according to the embodiment 1.
  • FIG. 4 is a flowchart showing a process of a control device of the shovel according to the embodiment 1.
  • FIG. 5 is a view showing an example of an image displayed on an output device of the shovel according to the embodiment 1.
  • FIG. 6 is a flowchart showing a process of a control device of a shovel according to an embodiment 2.
  • FIG. 7 is a chart showing an example of a detection value detected by a sensor.
  • FIG. 8 is a view showing an example of an image displayed on an output device of the shovel according to the embodiment 2.
  • FIG. 9 is a block diagram of a shovel and a monitoring device according to an embodiment 3.
  • FIG. 10 is a flowchart showing a process of a control device of the shovel according to the embodiment 3.
  • FIG. 11 is a block diagram of a shovel and a monitoring device according to an embodiment 4.
  • FIG. 12 is a flowchart showing a process of a control device of the monitoring device according to the embodiment 4.
  • FIG. 1A and FIG. 1B are a side view and a plan view, respectively, of a shovel according to an embodiment 1.
  • a hydraulic shovel exemplifies a shovel, in the embodiment 1.
  • the embodiment 1 can be adopted to other shovels, such as a hybrid shovel or an electric shovel.
  • An upper revolving superstructure 12 is mounted to an undercarriage 10 via a revolving bearing 11 .
  • the upper revolving superstructure 12 revolves clockwise or counter-clockwise with respect to the undercarriage 10 .
  • a boom 13 is installed on the upper revolving superstructure 12 .
  • An arm 15 is connected to a tip of the boom 13 .
  • a bucket 17 is connected to a tip of the arm 15 .
  • the boom 13 is driven by a hydraulic cylinder 14 .
  • the arm is driven by a hydraulic cylinder 16 .
  • the bucket 17 is driven by a hydraulic cylinder 18 .
  • a cabin 19 is mounted to the upper revolving superstructure 12 , and a driver gets into the cabin 19 and operates a hydraulic shovel.
  • An imaging device 20 is mounted to the upper revolving superstructure 12 .
  • a frontward imaging device 20 F, a right imaging device 20 R, a left imaging device 20 L and a backward imaging device 20 B constitute the imaging device 20 .
  • the frontward imaging device 20 F, the right imaging device 20 R, the left imaging device 20 L and the backward imaging device 20 B respectively image front, right, left and back sides of the upper revolving superstructure 12 .
  • the frontward imaging device 20 F is mounted between the cabin 19 and the boom 13 , for example.
  • An omnidirectional image can be obtained by combining images obtained by these imaging devices.
  • FIG. 2 shows a block diagram of an abnormality determination function of the shovel.
  • An image capture control device 24 stores image data acquired by the imaging device 20 in a temporary storage device 25 at a predetermined cycle.
  • the temporary storage device 25 has a ring buffer structure, for example. In other words, the oldest image data are overwritten (replaced) with new image data when no free storage area remains.
  • Image capture mode Storage portion 26 Information that specifies a capturing method of the image data, such as resolution and a capturing cycle, is stored in an image capture mode storage portion 26 .
  • a parameter for specifying the resolution is set to any one of a “high resolution”, a “normal resolution” and a “low resolution”, for example.
  • a parameter for specifying the capturing cycle is set to any one of a “long cycle”, a “normal cycle” and a “short cycle”.
  • An image capture mode is determined by the resolution and the capturing cycle. An operator operates an input device 33 to input the image capture mode to a control device 30 . Then, the image capture mode is set to the image capture mode storage portion 26 .
  • An image capture cycle is about several hundred ms to 1 sec, for example.
  • the image capture control device 24 stores image data acquired by the imaging device 20 , based on the image capture mode set to the image capture mode storage portion 26 , in the temporary storage device 25 .
  • image resolution or lengthening the capturing cycle it is possible to store a long term image data in the temporary storage device 25 .
  • by increasing the image resolution and shortening the capturing cycle it is possible to increase an information amount of image data in a predetermined time.
  • a plurality of sensors 34 are installed on the shovel.
  • the sensors 34 detect physical quantities relating to an operation state of the shovel.
  • An engine speed, a radiator coolant temperature, a fuel temperature, an atmospheric pressure, an engine oil pressure, a boost temperature, an intake temperature, a hydraulic operating fluid temperature, a boost pressure, a battery voltage, a hydraulic pressure of each part, a machine operation time, a traveling operation time, a revolving operation time, an idle time and the like are exemplified as the physical quantities relating to the operation state.
  • the control device 30 controls the temporary storage device 25 , the image capture mode storage portion 26 , an output device 31 , and an abnormality information storage device 32 .
  • Instructions of an operator are input to the control device 30 via the input device 33 .
  • the detection values detected by the sensors 34 are input to the control device 30 .
  • a liquid crystal display device is adopted as the output device 31 , for example.
  • a touch-panel type liquid crystal display device maybe adopted as a device functioning as the output device 31 and the input device 33 .
  • FIG. 3 shows a flowchart of an operation of the image capture control device 24 .
  • the image data is acquired from the imaging device 20 in step SA 1 .
  • the resolution of the image data is converted so as to be the resolution specified in the image capture mode, and then the converted image data is stored in the temporary storage device 25 .
  • the oldest image data are overwritten with new image data.
  • step SA 2 a period of a capturing cycle specified in the image capture mode elapses. Then, whether or not the start key of the shovel is in a stopped state is determined in step SA 3 . When the start key of the shovel is in a stopped state, the process is finished. When the start key of the shovel is not in a stopped state, the process returns to step SA 1 .
  • FIG. 4 shows a flowchart of an operation of the control device 30 .
  • the detection values detected by the sensors 34 are acquired in step SB 1 .
  • Whether or not the acquired detection values are within an allowable range is determined in step SB 2 .
  • the allowable range is preset for each physical quantity relating to the operation state.
  • step SB 3 Whether or not the operation state is abnormal is determined in step SB 3 .
  • the operation state of the shovel is determined to be abnormal.
  • the operation state is determined to be normal.
  • step SB 5 whether or not the shovel is in a stopped state is determined in step SB 5 .
  • step SB 4 is executed. Then, whether or not the shovel is in a stopped state is determined in step SB 5 .
  • step SB 4 a process of step SB 4 will be described.
  • the image data stored in the temporary storage device 25 the image data which corresponds to a period from a first time prior to a time at which the operation is determined to be abnormal to the present is read out and stored in the abnormality information storage device 32 .
  • the detection value of each sensor 34 at the time when the operation is determined to be abnormal is stored in the abnormality information storage device 32 .
  • the stored image data and the detection value of the sensor 34 are associated with each other.
  • the image data and the detection value of the sensor 34 may be associated with each other, based on indices given thereto, for example.
  • the image data and the detection value of the sensor 34 may be associated with each other, based on the time at which the data is acquired.
  • image data corresponding to a period after that time may be stored in the abnormality information storage device 32 .
  • the image data corresponding to a period from the first time to the second time may be transmitted from the temporary storage device 25 to the abnormality information storage device 32 after waiting for the image data transmission until the second time, for example.
  • a period from the first time to the time at which the operation is determined to be abnormal is set to about 30 sec to 5 min, and a period from the time at which the operation is determined to be abnormal to the second time is set to about 10 sec to 1 min.
  • an alarm may be raised from the output device 31 to inform an operator that the operation state is abnormal.
  • step SB 5 When, in step SB 5 , it is determined that the shovel is in a stopped state, the process is finished. When it is determined that the shovel is not in a stopped state, the process returns to step SB 1 after a predetermined time elapses in step SB 6 .
  • the waiting time of step SB 6 is set to several hundred ms to 1 sec, for example.
  • the image data corresponding to a period before the time at which the operation is determined to be abnormal or a period before and after the time is stored in the abnormality information storage device 32 .
  • the image data is useful in specifying the cause of abnormality.
  • a maintenance person it is possible for a maintenance person to search for the cause of the abnormality by operating the input device 33 (see FIG. 2 ).
  • FIG. 5 is a view showing an example of an image displayed on the output device 31 at the time of searching for the cause of abnormality.
  • An image display window 35 , a progress status bar 36 , operating icons 37 and a character information display window 38 are shown in a display screen.
  • a display screen when it is determined that an abnormality has occurred at the time of 10:35:20 on Apr. 26, 2012 is exemplarily shown in FIG. 5 .
  • the progress status bar 36 shows a period from a data collection start time of the image data stored in the abnormality information storage device 32 (see FIG. 2 ) to a finish time.
  • a slider 36 A displayed in the progress status bar 36 is slid, an image at the time corresponding to the position of the slider 36 A is displayed on the image display window 35 .
  • a mark 36 B for indicating abnormality occurrence time is displayed on the progress status bar 36 at the position corresponding to a time of abnormality occurrence.
  • the progress status bar 36 and the slider 36 A function as a time indicator by which the time of the image to be displayed on the image display window 35 is indicated.
  • the length of the progress status bar 36 corresponds to a time range within which the time can be specified by the slider 36 A.
  • a numeric input window used for inputting a time as a numeric value maybe displayed as a time indicator, instead of the slider 36 A.
  • a playback, a frame-by-frame playback, a pause or the like of moving image can be carried out by operating the operating icon 37 .
  • the operating icon 37 includes an instruction button used for jumping to the time of abnormality occurrence.
  • the instruction button When the instruction button is operated, the image at the time when the operation is determined to be abnormal in step SB 2 shown in FIG. 4 is displayed on the image display window 35 . It is possible to quickly display the image at the time immediately before the time of abnormality occurrence, by providing the instruction button used for jumping to the time of abnormality occurrence.
  • FIG. 5 shows an example of an image at the time when the hydraulic abnormality is detected. It is possible to know that a truck intrudes between the upper revolving superstructure 12 and the bucket 17 (see FIGS. 1A and 1B ), from the image shown in FIG. 5 . Here, the following estimation can be carried out. The truck is in contact with hydraulic piping, and thus the hydraulic piping is broken. Therefore, a hydraulic abnormality is detected. In this way, it is possible to specify the cause of the abnormality by inspecting the image data corresponding to a period before and after the time at which the abnormality occurs.
  • a functional block diagram of a shovel according to an embodiment 2 is the same as the functional block diagram of the shovel according to the embodiment 1 shown in FIG. 2 .
  • FIG. 6 is a flowchart showing an operation of the control device 30 (see FIG. 2 ) of the shovel according to the embodiment 2.
  • the control device 30 of the shovel according to the embodiment 2 includes a unit space defining flag and an area for storing the inverse matrix of a correlation matrix.
  • the detection value is acquired from the sensor 34 (see FIG. 2 ), in step SC 1 .
  • Whether or not the unit space is defined is determined in step SC 2 . Specifically, it is determined whether the unit space defining flag is set to “defined” or “undefined”, in step SC 2 .
  • the unit space is used as a reference for determination when the abnormality determination using Mahalanobis-Taguchi method is carried out in the following step.
  • the detection value of the sensor 34 is accumulated as a sample, in step SC 3 .
  • Whether or not the number of accumulated samples is enough is determined in step SC 4 .
  • the unit space is defined in step SC 5 . Specifically, the correlation matrix of physical quantities of samples which constitute the unit space and the inverse matrix of the correlation matrix are calculated.
  • FIG. 7 shows an example of the detection values detected by the sensor 34 .
  • the number of physical quantities of a detection target is represented by K, and the number of accumulated samples is represented by N.
  • the detection values of N samples constitute the unit space.
  • the detection value of a physical quantity k is indicated as x (n, k).
  • the mean value and the standard deviation are calculated with respect to the detection values of each physical quantity.
  • the mean value and the standard deviation of the physical quantity k are indicated as m(k) and a(k), respectively.
  • the detection values of each sample are standardized, whereby standardized detection values are calculated.
  • the standardized detection value X(n,k) of the detection value x(n,k) of the physical quantity k in the sample to which the sample number n is assigned is shown as the following Equation.
  • Correlation coefficients between the physical quantities are calculated based on the standardized detection values X (n,k).
  • a correlation coefficient r(i,j) of a physical quantity i and a physical quantity j is calculated by the following Equation.
  • a correlation matrix R of the physical quantities 1 to K is shown as the following Equation.
  • An inverse matrix A of the correlation matrix R is calculated.
  • the inverse matrix A is stored in the control device 30 so as to be available in the following step.
  • step SC 6 the unit space defining flag is set to “defined”.
  • the process waits for a predetermined time in step SC 11 .
  • the waiting time is set to about several hundred ms to 1 sec, for example. After waiting for the predetermined time, the process returns to step SC 1 .
  • the unit space defining flag can be reset by the operation of an operator. In other words, it is possible to set the unit space defining flag to “undefined”.
  • a Mahalanobis distance (MD) of the detection values (verification data) detected by each sensor 34 is calculated in step SC 7 .
  • MD Mahalanobis distance
  • the value of a physical quantity k, out of K detection values (verification data) detected by the sensors 34 is indicated as y(k).
  • the detection value y(k) is standardized, whereby a standardized detection value Y (k) is calculated.
  • the standardized detection value Y(k) can be calculated by the following Equation.
  • the square (D 2 ) of the Mahalanobis distance of the verification data can be calculated by the following Equation using the inverse matrix A of the correlation matrix R.
  • the Mahalanobis distance MD (or the square D 2 of the Mahalanobis distance) is calculated, the Mahalanobis distance MD and a threshold are compared in step SC 8 .
  • the process of step SC 9 is to start.
  • the process of step SC 9 is the same as the process of step SB 4 (see FIG. 4 ) in the embodiment 1.
  • step SC 9 When the process of step SC 9 is finished or when the Mahalanobis distance MD is determined, in step SC 8 , to be equal to or less than the threshold, whether or not the shovel is in the stopped state is determined in step SC 10 .
  • the process When the shovel is in the stopped state, the process is finished.
  • the process waits for a predetermined time in step SC 11 . Then, the process returns to step SC 1 .
  • the Mahalanobis-Taguchi method is adopted as a method of determining whether or not an operation state is abnormal. Thus, it is unnecessary to set the allowable range to each detection value of the sensors 34 .
  • the allowable range of the detection value is set based on cases where the abnormality occurred in the past or the like, for example.
  • a new abnormality which has not occurred in the past may not be detected in some cases.
  • deviation amounts of the plurality of detection values with respect to allowed values are integrated into the Mahalanobis distance (MD) in the embodiment 2, and thus it is possible to easily determine whether or not the operation is abnormal.
  • FIG. 8 shows an example of an image displayed on the output device 31 (see FIG. 2 ) when the cause of abnormality is searched for in the shovel according to the embodiment 2.
  • FIG. 8 shows an example of an image displayed on the output device 31 (see FIG. 2 ) when the cause of abnormality is searched for in the shovel according to the embodiment 2.
  • the embodiment 2 differs between the embodiment 2 and the embodiment 1 shown in FIG. 5 will be described.
  • a window 39 for displaying an alarm level variation is shown in the embodiment 2.
  • a variation graph of alarm levels with the elapsed time corresponding to a time range specified by the slider 36 A is displayed in the window 39 for displaying the alarm level variation.
  • a display image time line 39 A is displayed in the window 39 for displaying alarm level variation at a position corresponding to the time (the time corresponding to the displayed image) specified by the slider 36 A. Furthermore, an abnormality occurrence time line 39 B is displayed in the window 39 for displaying the alarm level variation at a position corresponding to the mark 36 B for indicating abnormality occurrence time.
  • the alarm level shows the level of possibility that an abnormality is occurring in the shovel.
  • the Mahalanobis distance calculated in step SC 7 (see FIG. 6 ) is adopted as the alarm level. It is conceived that any cause of abnormality is generated immediately before the alarm level is increased rapidly.
  • FIG. 9 shows a functional block diagram of a shovel and a monitoring device according to an embodiment 3.
  • a description focuses on differences between the shovel of the embodiment 3 and the shovel of the embodiment 1. A description of the same configuration will not be repeated.
  • an abnormality determination process and the accumulation process of data when the abnormality occurs are completed only in the shovel.
  • the abnormality determination process is carried out by the local control device 30 mounted on a shovel 50 .
  • the image data and the like when the operation is determined to be abnormal are accumulated in a monitoring device 60 .
  • a transceiver 40 which transmits various data, such as image data, to the monitoring device 60 via a communication line 45 is mounted on the shovel 50 .
  • a transceiver 41 , a control device 61 , an output device 62 , an input device 63 and the abnormality information storage device 32 are provided in the monitoring device 60 .
  • the transceiver 41 receives data sent from the shovel 50 via the communication line 45 .
  • the control device 61 controls the output device 62 , the input device 63 and the abnormality information storage device 32 .
  • FIG. 10 shows a flowchart of a process performed by the local control device 30 mounted on the shovel 50 .
  • Steps SB 1 , SB 2 , SB 3 , SB 5 , and SB 6 are, respectively, the same as steps SB 1 , SB 2 , SB 3 , SB 5 , and SB 6 of the embodiment 1 shown in FIG. 4 .
  • the process of step SD 4 is executed instead of step SB 4 in the embodiment 1.
  • step SD 4 will be described.
  • step SB 3 When the operation state is determined, in step SB 3 , to be abnormal, the local control device 30 waits until the second time following the determination time such that image data is accumulated in the temporary storage device 25 .
  • the image data corresponding to a period from the first time prior to a time at which the operation is determined to be abnormal to the second time, out of the image data stored in the temporary storage device 25 , and the detection values of the sensors 34 when the operation is determined to be abnormal are transmitted from the transceiver 40 to the monitoring device 60 . Instead, the image data corresponding to a period from the first time prior to the time at which the operation is determined to be abnormal to the time at which the operation is determined to be abnormal, out of the image data stored in the temporary storage device 25 , may be transmitted. Furthermore, an alarm is raised from the output device 31 , whereby the abnormality is notified to an operator.
  • the control device 61 of the monitoring device 60 stores the received image data in the abnormality information storage device 32 .
  • an alarm is raised from the output device 62 .
  • the control device 61 When an observer of the monitoring device 60 commands a data display via the input device 63 , the control device 61 outputs the detection values of the sensor and the image data, which are accumulated in the abnormality information storage device 32 , to the output device 62 .
  • the image data corresponding to a period before and after the time at which the operation is determined to be abnormal becomes useful information when an observer specifies the cause of abnormality.
  • the image displayed on the output device 62 is the same as the image output on the output device 31 according to the embodiment 1 shown in
  • FIG. 5 or the image output on the output device 31 according to the embodiment 2 shown in FIG. 8 .
  • FIG. 11 is a functional block diagram of a shovel and a monitoring device according to an embodiment 4.
  • a description focuses on differences of the shovel and the monitoring device between the embodiment 4 and the embodiment 3. A description of the same configuration will not be repeated.
  • the local control device 30 mounted on the shovel 50 carries out the abnormality determination process in the embodiment 3.
  • the control device 61 mounted on the monitoring device 60 carries out the abnormality determination process in the embodiment 4.
  • the shovel 50 transmits an abnormality determination request as well as the detection values of the sensor 34 to the monitoring device 60 at predetermined cycles.
  • FIG. 12 shows a flowchart of a process performed by the control device 61 of the monitoring device 60 .
  • Whether or not the abnormality determination request is received from the shovel 50 is determined in step SE 1 .
  • step SE 1 is repeated until the abnormality determination request is received.
  • the abnormality determination is performed in step SE 2 , based on the detection value of the sensor which is received from the shovel 50 .
  • the abnormality determination process is the same as the abnormality determination process of steps SB 2 and SB 3 (see FIG. 4 ) according to the embodiment 1 or steps SC 7 and SC 8 (see FIG. 6 ) according to the embodiment 2.
  • step SE 4 When the operation state is determined to be abnormal in step SE 3 , it is commanded, in step SE 4 , that shovel 50 transmits the image data.
  • This command includes a start time (the first time) and a finish time (the second time) of the image data to be transmitted.
  • the shovel 50 transmits the image data corresponding to a period from the first time to the second time, out of the image data accumulated in the temporary storage device 25 , to the monitoring device 60 as a response to the command.
  • step SE 5 the image data received from the shovel 50 and the detection values of the sensor at the time when the operation is determined to be abnormal are stored in the abnormality information storage device 32 in a state of being associated with each other.
  • step SE 6 whether or not the operation of the monitoring device 60 is in a stopped state is determined in step SE 6 .
  • step SE 6 Whether or not the operation of the monitoring device 60 is in a stopped state is determined in step SE 6 , even when the operation is determined, in step SE 3 , not to be abnormal.
  • step SE 6 When the monitoring device 60 is determined, in step SE 6 , not to be in a stopped state, the process returns to step SE 1 . When the monitoring device 60 is determined to be in a stopped state, the process is finished.
  • an observer of the monitoring device 60 can use the image corresponding to a period before and after the time of the detected abnormality which is displayed on the output device 62 , even in the case of the embodiment 4.
  • the image displayed on the output device 62 is the same as the image output on the output device 31 , according to the embodiment 1 shown in FIG. 5 , or the image output on the output device 31 , according to the embodiment 2 shown in FIG. 8 .

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  • General Physics & Mathematics (AREA)
  • Mining & Mineral Resources (AREA)
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US14/113,003 2011-05-16 2012-05-14 Shovel, monitoring device of the same and output device of shovel Abandoned US20140052349A1 (en)

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JP2011109437 2011-05-16
JP2011-109437 2011-05-16
PCT/JP2012/062288 WO2012157603A1 (ja) 2011-05-16 2012-05-14 ショベル、その監視装置及びショベルの出力装置

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US (1) US20140052349A1 (ko)
EP (2) EP3599314A1 (ko)
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US20130261885A1 (en) * 2012-03-29 2013-10-03 Harnischfeger Technologies, Inc. Overhead view system for a shovel
US20140195015A1 (en) * 2013-01-08 2014-07-10 Vega Grieshaber Kg Method for monitoring and controlling field devices, control device, program elements and machine-readable medium
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CN112166218A (zh) * 2018-09-14 2021-01-01 株式会社小松制作所 作业机械的显示系统及其控制方法
EP3783156A4 (en) * 2018-09-14 2022-01-26 Komatsu Ltd. DISPLAY SYSTEM FOR WHEEL LOADER AND CONTROL METHOD FOR A DISPLAY SYSTEM
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CN117216728A (zh) * 2023-11-09 2023-12-12 金成技术股份有限公司 挖掘机动臂稳定性检测方法

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KR101614013B1 (ko) 2016-04-29
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