JP2017033332A - Maintenance system for cargo handling and transporting machine - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a maintenance system for a cargo handling and transporting machine capable of improving accuracy and work efficiency through a precise data analysis and thereby reducing labor and a cost.SOLUTION: In a maintenance system for a cargo handling and transporting machine, identification plates 52 are placed on a cargo handling and transporting machine and a maintenance object 51. A sensor 53 detects a state amount of the maintenance object 51 and a main body controller 54 transmits the state amount to a data management server 50 through the Internet. Then, the data maintenance server 50 stores maintenance information on the maintenance object 51 and actual performance data on the cargo handling and transporting machine on the basis of the state amount of the maintenance objection 51 detected by the sensor 53. When maintaining the maintenance object 51, a worker puts a wearable display device 59 thereon to: identify the maintenance information on the maintenance object 51 of the cargo handling and transporting machine on the basis of an image of the identification plate 52 captured by a camera mounted on the wearable display device 59; read out the maintenance information from the data management server 50; and display the same.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a maintenance system for a cargo handling machine.

  In general, for example, an unloader, a container crane, a tower crane, or the like exists as a cargo handling and transporting machine.

  In the case of the cargo handling and transporting machine as described above, maintenance is regularly performed, and an operator visually inspects the object to be maintained at the site, and performs parts replacement as necessary.

  Patent Document 1 is an example of a general technical level related to an unloader as a cargo handling machine.

JP 2007-15833 A

  However, conventionally, the usage and frequency of maintenance objects are rarely taken as data in real time, and even if the data is taken, the analysis has not been sufficiently performed.

  For this reason, the maintenance of the conventional cargo handling machine has been relied on the experience and intuition of workers, and it is difficult to say that it is accurate and efficient, requiring a great deal of labor and cost.

  The present invention has been made in view of the above-described conventional problems. A maintenance system for a cargo handling machine that can improve accuracy and improve work efficiency by accurately performing data analysis, leading to labor reduction and cost reduction. It is something to be offered.

The present invention is a maintenance system for a cargo handling machine equipped with a maintenance object,
An identification plate to be affixed to the cargo handling machine and maintenance object;
A sensor for detecting a state quantity of the maintenance object;
A main body controller for inputting a state quantity of the maintenance object detected by the sensor and controlling a driving device of the cargo handling machine including the maintenance object;
Data management that is connected to the main body controller via the Internet and stores maintenance information of the maintenance object and operation data of the operation result of the cargo handling machine based on the state quantity of the maintenance object detected by the sensor Server,
The maintenance information on the maintenance object of the cargo handling machine specified by the image of the identification plate captured by the built-in camera connected to the data management server via the Internet is read from the data management server. The present invention relates to a maintenance system for a cargo handling and transporting machine, characterized in that it is equipped with a display device that can be mounted by a worker.

  In the maintenance system for the cargo handling machine, the identification plate preferably identifies the cargo handling machine and the maintenance object based on the shape and the drawn pattern / number.

  The wearing display device is preferably a wearable glass having an augmented reality function for overlaying maintenance information on a maintenance object actually viewed by an operator.

  Moreover, it is preferable that the said mounting display apparatus uploads to the said data management server as the maintenance information which should update the content of the maintenance which the operator implemented.

  According to the maintenance system for a cargo handling machine of the present invention, it is possible to accurately perform data analysis to improve accuracy and work efficiency, and to achieve an excellent effect of reducing labor and reducing costs.

BRIEF DESCRIPTION OF THE DRAWINGS It is a whole schematic block diagram which shows the Example of the maintenance system of the material handling machine of this invention. It is a figure which shows the plate for identification in the Example of the maintenance system of the material handling machine of this invention. It is a flowchart which shows the operation procedure by the worker at the time of using a wearable glass as a mounting | wearing display apparatus in the Example of the maintenance system of the cargo handling machine of this invention. It is a figure which shows an example of the operation | use graph of the maintenance target object in the Example of the maintenance system of the cargo handling machine of this invention. It is a schematic block diagram which shows a continuous type unloader as an example of the cargo handling machine to which the maintenance system of this invention is applied. FIG. 6 is a detailed view of a VI part in FIG. 5.

  Embodiments of the present invention will be described below with reference to the accompanying drawings.

  1 to 6 show an embodiment of a maintenance system for a cargo handling machine according to the present invention.

  First, the outline | summary is demonstrated about a continuous unloader as an example of the material handling machine with which the maintenance system of this invention is applied.

  As shown in FIG. 5, the continuous unloader as the cargo handling machine is provided with a revolving frame 5 having a tiltable boom 4 on a traveling frame 3 capable of traveling on a rail 2 laid on the quay 1, At the tip of the boom 4, a bucket elevator 8 that scrapes off a loose object 7 such as iron ore inside the hold 6 and can be carried out of the hold 6 is suspended. Inside the boom 4 is disposed a boom conveyor 9 capable of conveying the loose article 7 scraped by the bucket elevator 8 to the base end side of the boom 4. The traveling frame 3 is provided with a carry-out conveyor 10 that can carry the loose article 7 fed from the boom conveyor 9 through the chute 11 to the outside of the traveling frame 3.

  In the continuous unloader, the bulk material 7 inside the hold 6 is scraped off by the bucket 19 of the bucket elevator 8 and loaded out of the hold 6, and the boom 4 moves from the front end side to the base end side of the boom 4. And is dropped onto the carry-out conveyor 10 via the chute 11 and is carried out of the traveling frame 3 by the carry-out conveyor 10.

  As shown in FIGS. 5 and 6, the bucket elevator 8 is configured by pivotally attaching a main body frame 12 extending in the vertical direction at the tip of the boom 4. At the lower end of the main body frame 12, a scraper frame 15, which has an inner frame frame 14 that is telescopically disposed so as to be nested with respect to the outer frame frame 13 with an open end face, is provided via a lifting frame 23. It is mounted almost horizontally. Sprockets 16 and 17 are provided at the proximal end of the outer frame 13 and the distal end of the inner frame 14 of the scraping part frame 15, and the sprockets 16 and 17 and the sprocket 18 provided on the upper part of the main body frame 12 are provided. An endless chain 20 to which a large number of buckets 19 for scraping off loose articles 7 are attached is hung around.

  The expansion and contraction of the inner frame 14 with respect to the outer frame 13 is performed by the expansion and contraction operation of the cylinder 21. The outer frame frame 13 is connected to an elevating frame 23 that can be moved up and down by the expansion and contraction operation of the cylinder 22 with respect to the main body frame 12 in order to prevent the tension of the chain 20 from changing due to the expansion and contraction of the inner frame frame 14. Has been. As shown by the solid line in FIG. 6, when the cylinder 21 extends and the inner frame 14 extends relative to the outer frame 13, the cylinder 22 expands in conjunction with the operation of the cylinder 21 and passes through the lifting frame 23. The outer frame 13 is raised so as to be drawn toward the main body frame 12 side. On the other hand, when the cylinder 21 contracts and the inner frame frame 14 contracts with respect to the outer frame frame 13 as shown by the phantom line in FIG. As a result, the outer frame 13 is lowered away from the main body frame 12 side, so that the tension of the chain 20 is always kept constant.

In this embodiment, as shown in FIG. 1, data is transferred via the Internet between a cargo handling machine provided at a plurality of (first to Nth) sites and a data management server 50 installed at an office or the like. Exchanges are made.
An identification plate 52 is affixed to the cargo handling machine and the maintenance object 51.
The state quantity of the maintenance object 51 is detected by a sensor 53. The state quantity of the maintenance object 51 detected by the sensor 53 is a main body controller 54 such as a programmable logic controller (PLC). The main body controller 54 controls the motor 56 as the driving device 55 of the cargo handling machine including the maintenance object 51 via the inverter 57. In the case of the continuous unloader as the cargo handling machine, the drive device 55 includes, for example, a bucket elevator drive motor, a bucket elevator turning motor, a boom turning motor, a traveling motor, a boom hoisting hydraulic pump motor, a boom conveyor motor, etc. Can be mentioned. Further, examples of the state quantity of the maintenance object 51 detected by the sensor 53 include the number of driving times and driving time of various motors.

  The main body controller 54 includes a data communication terminal 58 connected to the Internet, and maintenance information on the maintenance target 51 based on the state quantity of the maintenance target 51 detected by the sensor 53 transmitted by the data communication terminal 58. In addition, the operation data of the operation results of the cargo handling machine is stored in the data management server 50.

  Further, the data management server 50 is provided with a mounting display device 59 that is connected to the Internet and can be worn by a worker. The mounting display device 59 reads from the data management server 50 and displays the maintenance information of the maintenance object 51 of the cargo handling machine specified based on the image of the identification plate 52 captured by the built-in camera. It has become. As the mounting display device 59, for example, a wearable glass that overlays maintenance information on the maintenance object 51 that the worker actually sees can be employed. Incidentally, for information display on the wearable glass as the wearing display device 59, augmented reality (AR) technology in which a real environment perceived by a person is expanded by a computer can be applied.

  As shown in FIG. 2, the identification plate 52 is configured such that the cargo handling machine and the maintenance object 51 are specified by the shape and the drawn pattern / number.

  One identification plate 52 for identifying the cargo handling machine is attached to a boarding entrance (near the entrance) of the cargo handling machine. If the identification plate 52 has a rectangular shape, the pattern of the triangles separated by the diagonal line of the rectangular shape is different, and the number is “1”, it is identified as the first cargo handling machine. It is like that. If the shape of the identification plate 52 is a rectangular shape and the pattern of the triangles separated by the diagonal lines of the rectangular shape is different, and the number is “2”, it is identified as the second cargo handling machine. It is like that.

  If the shape of the identification plate 52 is a pentagonal shape and the number is “1”, the identification plate 52 is identified as a drive unit related electrical product of the bucket elevator 8. If the shape of the identification plate 52 is a pentagonal shape and the number is “2”, the identification plate 52 is identified as a swing-related electrical product of the boom 4.

  If the shape of the identification plate 52 is a circular shape and the number is “1”, the identification plate 52 is identified as a drive machine product of the bucket elevator 8. If the shape of the identification plate 52 is a circular shape and the number is “2”, the identification plate 52 is identified as a drive machine product of the boom 4. If the shape of the identification plate 52 is a circular shape and the number is “1-1” (the major classification is “1” and the minor classification is “1”), the sprocket of the drive machine product of the bucket elevator 8 To be identified.

  The maintenance information obtained with the wearable glass as the mounting display device 59 includes, for example, specifications of the maintenance target 51 (names and capabilities), and specifications (names and capabilities) of parts such as motors, inverters, and reducers. ), Motors, inverters, sequencers and other electrical equipment instruction manuals, electricity, mechanical drawings, sensing data (device drive count, drive time, etc.), predicted parts replacement based on the sensing data and empirical rules There are timing, lubrication in the drive, wear inspection timing, replacement history so far.

  The operation procedure by the worker when wearable glasses are used as the mounting display device 59 is as shown in the flowchart of FIG.

  First, the worker moves to the site where the cargo handling machine requiring maintenance is installed (see step Sw1). At this time, maintenance analysis is performed in the data management server 50 (see step Ss1), a maintenance command is output, and a maintenance report (also a work list) is issued (see step Ss2). The maintenance command is confirmed via the Internet by the worker who has moved to the site in Step Sw1.

  Subsequently, the worker wears the wearable glass and activates the wearable glass (see step Sw2).

  The worker wearing the wearable glass in Step Sw2 looks through the wearable glass for the identification plate 52 for identifying the cargo handling machine (see Step Sw3).

  When the worker views the identification plate 52 through the wearable glass in the step Sw3, the shape and the drawing of the identification plate 52 are drawn based on the image of the identification plate 52 captured by the camera built in the wearable glass. The target of the material handling machine (registered model of the data management server 50) is specified from the pattern / number (see step Sg1). When the object of the material handling machine (registered model of the data management server 50) is specified in step Sg1, the maintenance report and the equipment arrangement of the material handling machine corresponding to the shape of the identification plate 52 and the drawn pattern / number. The figure is read from the data management server 50 and displayed on the wearable glass as augmented reality (AR) information (see step Sg2).

  The worker moves to the position of the maintenance object 51 according to the items of the equipment layout diagram and the maintenance report (also the work list) displayed on the wearable glass in step Sg2 (see step Sw4).

  The worker who has moved to the position of the maintenance object 51 in Step Sw4 looks at the identification plate 52 of the maintenance object 51 through the wearable glass (see Step Sw5). The identification plate 52 for identifying the maintenance object 51 is affixed to the maintenance object 51 itself or related equipment.

  When the worker views the identification plate 52 through the wearable glass in the step Sw5, the shape and the drawing of the identification plate 52 are drawn based on the image of the identification plate 52 captured by the camera built in the wearable glass. Maintenance information including a necessary drawing of the maintenance object 51 is read from the data management server 50 based on the pattern / number and displayed as augmented reality (AR) information on the wearable glass. Incidentally, if there is a number up to a small classification, the corresponding maintenance information is automatically displayed as augmented reality (AR) information on the wearable glass. However, if only the major classification number is listed, the maintenance information is displayed as augmented reality (AR) information on the wearable glass by the operator selecting the minor classification using the wearable glass operation unit (step Sg3). reference).

  The worker confirms the maintenance information including the necessary drawings displayed on the wearable glass in step Sg3 and the state of the actual product, and performs maintenance work (fuel supply, parts replacement, etc.) (see step Sw6).

  After the worker performs the maintenance work in Step Sw6, the work content is input to the maintenance report (cum work list) from the wearable glass operation unit (see Step Sw7).

  In step Sw7, when the worker inputs the execution contents to the maintenance report (also the work list) from the operation part of the wearable glass, the input information is displayed as augmented reality (AR) information, and the maintenance report of the data management server 50 is displayed. The information is uploaded to the document (also the work list) (see step Sg4).

  The information uploaded from the wearable glass in step Sg4 is reflected in the data management server 50 (see step Ss3).

  In step Sw7, after the worker inputs the execution contents to the maintenance report (also the work list) from the operation part of the wearable glass, it is determined whether there is another maintenance object 51 (see step Sw8). . If it is determined in step Sw8 that there is another maintenance object 51, the process returns to step Sw4, and thereafter, the same operation as described above is repeated. If it is determined in step Sw8 that there is no other maintenance object 51, the worker submits a maintenance report (cum work list) to the customer, reports the implementation details, and finishes the work (see step Sw9). ).

  The maintenance analysis performed at the step Ss1 in the data management server 50 will be described below.

  The operation data of the cargo handling machine is always available, maintenance information is extracted from operation data (big data) of operation results, and a maintenance command is output to the maintenance department.

  The analysis of the big data relating to the maintenance is performed by classifying the maintenance object 51 for each type of the cargo handling machine according to the driving or power (hereinafter referred to as motion).

  The classification of the maintenance object 51 according to the motion of the continuous unloader as the material handling machine includes the driving of the bucket elevator 8, the turning of the bucket elevator 8, the expansion and contraction of the bucket elevator 8, the turning of the boom 4, the undulation of the boom 4, and the traveling Related, in-machine conveyor board, sensors, lighting, and other equipment.

  Examples of the breakdown include drive units, panel relations, sensors, and illumination relations. The drive unit includes a motor (including hydraulic pressure), a speed reducer, a brake, and a drive device. The panel related includes a power receiving panel, a power panel, a control panel, an operation panel, and others. The sensors include limit switches, encoders, pulse generators, proximity switches, and special sensors. The lighting related includes a projector, a fluorescent lamp, an LED, and the like.

  The operation data of the maintenance object 51 for each motion includes the number of times of driving (operation, switch-on), driving time, and load factor as main data. As for the load factor, those that can be detected by the maintenance object 51 for each motion are taken in, and the panel related, sensors, lighting related, etc., take in only the number of times of driving and the driving time regardless of the cargo handling load. . The usage data of the material handling and handling machine is data on the number of operations (operation, switch-on), operation time, and night illumination time for each model.

  As the maintenance time of the maintenance object 51 for each motion, an efficient time is determined from the cumulative value of the driving time in consideration of the load factor and the determination criterion for time determination. As for the maintenance time of the model itself, an efficient time is determined from the number of times of operation of the model, the cumulative value of the operation time, and the determination criteria for determining the time.

  As determination criteria for determining the maintenance time, threshold values (N1 to N5) of determination times are set for the following states of the maintenance object 51.

(1) State in which the maintenance object 51 is used N1: A threshold value that is the first maintenance time determined from the total lifetime based on the judgment from only the elapsed time, and one threshold value based on actual results and experience values up to that point Determine as.
N2: This is a threshold value indicating how much time has elapsed from the threshold value N1 that is the initial maintenance time, based on the elapsed time alone, and one threshold value based on the actual values and experience values up to that point. Determine as.
N3: This is a threshold value obtained by using the accumulated time and the load factor and indicating the overall comprehensive check timing when the life is approaching, and is calculated as one threshold value from the actual value and the experience value so far.
N4: This is a threshold value obtained by using the accumulated time and the load factor and indicating the use state check and replacement preparation time just before the end of the lifetime, and is calculated as one threshold value from the actual value and the experience value so far.
N5: This is a threshold value obtained by using the accumulated time and the load factor, and indicating the time for replacing the device at the set life time, and is calculated as one threshold value from the past actual value and experience value.

(2) A state in which the maintenance object 51 is not used P1: A period in which the maintenance object 51 is not used Q1: A period in which the state in which the maintenance object 51 is not used (the driving time accumulation does not change) is a certain period. (P1) It is a threshold value that is set when a set amount of time has elapsed, and it is assumed that the parts will be adversely affected when the maintenance object 51 is not moving. Find out.

  And, the maintenance timing as a model of the cargo handling machine uses the above-mentioned timing determination criteria. First, by comprehensive judgment from the maintenance timing of the maintenance target 51 for each motion in the model and the maintenance timing of the model itself, Determine one maintenance time as a model and output it as a maintenance command. A maintenance report (also a work list) is simultaneously output from the maintenance analysis result.

  The maintenance command is a command that prompts the maintenance department to perform maintenance work when the maintenance time is determined, and the maintenance report (also the work list) is an inspection item and work content, whether or not parts are replaced, and whether or not oil / oil is replaced. Etc. are described. Prior to the maintenance work, drawings, materials, instruction manuals, etc. necessary for each maintenance object 51 for each motion are collected and prepared so that they can be output to the wearable glass as the mounting display device 59. It has become. During maintenance work on site, drawings and so on can be output immediately.

  If maintenance work is carried out according to the maintenance command and the maintenance report (also work list), efficient maintenance can be performed, and the maintenance object 51 can always be maintained in the best state, even when used. The maintenance object 51 can exhibit a sufficient function.

  At the end of the maintenance work, the result can be entered in the report, and the numerical value is also used as data for determining the next maintenance time calculation.

  Regarding maintenance, main parts (for example, a motor, a reducer, a drum, a wire, a bearing, etc.) as a maintenance object 51 of a motion of a certain type of cargo handling machine have an allowable limit drive time. It is recommended to replace the part as the limit life of the part, whichever is earlier than the time or the period of use. Taking an example, the operation graph based on the usage record will be described. As an example, it is assumed that there is a machine in which the allowable limit drive time of the main parts is 50,000 hours and the trial period is ten years.

  FIG. 4 is a diagram showing an example of an operation graph of the maintenance object 51, in which the horizontal axis indicates the elapsed time [year] in units of years, and the vertical axis indicates the accumulated usage time in consideration of the load factor. The accumulated usage time is expressed in units of time [H]. The cumulative time when the maintenance object 51 is continuously used for 24 hours is indicated by a virtual line, whereas the actual cumulative time considering the load factor is indicated by a solid line. The accumulated time has naturally increased since the start of the use of the maintenance object 51. However, in the case of conventional maintenance, maintenance is regularly performed every two years regardless of whether the maintenance object 51 is used or not. (See M1 ′, M2 ′, M3 ′, M4 ′, and M5 ′ in FIG. 4). Originally, it is more realistic to shorten the maintenance interval after the fifth year after the start of use and further shorten it before reaching the decade, but in the conventional case, the use state of the maintenance object 51 cannot be grasped. So I had to be regular.

  On the other hand, if the operation result data of the maintenance object 51 can be obtained as in the present embodiment, a cumulative time result graph in real time as shown in FIG. 4 can be drawn, so how much parts are used at the present time. Can be grasped. According to this graph, the maintenance time can be determined by comparison with the threshold values (N1 to N5, Q1), so that the maintenance time can be output as a maintenance command (M1 to M5).

Here, as a criterion for judging the maintenance time, threshold values (N1 to N5, Q1) are set as follows, for example, based on actual values and experience values from maintenance execution records stored as data of the same model. .
N1: Set in five years.
N2: Set after 3 years, set as N2 ', N2''every year after 8 years.
N3: Set to Kt as the accumulated time with the load factor taken into account.
N4: Set to Kr as the accumulated time with the load factor taken into account.
N5: Set to Kl as the accumulated time with the load factor taken into account.
Q1: Since the threshold value is set when a state in which the maintenance target 51 is not used (the state in which the cumulative driving time does not change) has elapsed for a certain period (P1: half a year), seven years in the example of FIG. It is set near.

  And in the example of FIG. 4, a maintenance instruction | command (M1-M5) is determined by threshold value (N1-N5, Q1) as follows.

The first inspection (maintenance command M1) is selected and determined from an early stage based on the criteria of N1, Q1, and N3.
The second inspection (maintenance command M2) is selected and determined from an early stage on the basis of N2, Q1, and N3.
The third inspection (maintenance command M3) is selected and determined from an early stage with respect to the standards of Q1, N2, and N3.
The fourth inspection (maintenance command M4) is selected and determined from an early stage with respect to the standards of Q1, N2 ′ and N4.
The fifth inspection (maintenance command M5) is selected and determined from an early stage with respect to the criteria of Q1, N2 ″ and N5.

  Note that the threshold value to be selected is determined by the model and parts.

  When the maintenance time is determined according to the above criteria, in FIG. 4, first, the first maintenance is performed in the fifth year of the threshold value N1, so the maintenance command M1 is output. In the case of regular maintenance, two maintenances indicated by the threshold value M1 ′ and the threshold value M2 ′ are performed in the meantime. At this point in time, there is a margin for the accumulated time. It is done.

  The next maintenance is the eighth year (threshold N2) from the start three years later, but a little over seven years have passed since there was a period (P1) during which the maintenance object 51 was not used for more than half a year. Incidentally, the maintenance command M2 is output.

  Further, since the accumulated time reaches Kt (threshold value N3) in the latter half of seven years, the maintenance command M3 is output again.

  Thereafter, the maintenance command M4 is issued when the accumulated time reaches the next Kr (threshold value N4) in the latter half of the eight years.

  Further, when ten years have not passed, the maintenance time M5 is output for replacement as the cumulative time life because the cumulative time reaches Kl (threshold value N5).

  As described above, the output of the maintenance command based on the analysis result of the big data becomes more practical because a relatively large number of maintenance commands are output when the component life approaches.

  As described above, in this embodiment, the data on the usage and the frequency of use of the maintenance object 51 is sufficiently analyzed, and unlike the conventional maintenance of the cargo handling machine, it depends on the experience and intuition of the worker. Therefore, it is possible to perform highly efficient and efficient maintenance.

  Thus, accurate data analysis can be performed to improve accuracy and work efficiency. By performing the maintenance by applying the method of this example to the maintenance object 51, labor and cost can be reduced.

  In the identification plate 52, the cargo handling machine and the maintenance object 51 are specified by the shape and the drawn pattern / number, so that misidentification by an operator can be avoided.

  Further, since the mounting display device 59 is a wearable glass having an augmented reality function for overlaying maintenance information on the maintenance object 51 that the worker actually sees, drawings, materials, The operator does not have to bring an instruction manual or the like to the site, and the input operation for obtaining information on the maintenance object 51 is reduced, so that the maintenance work can be performed in a hands-free manner, thereby improving efficiency.

  Furthermore, since the mounting display device 59 uploads the content of the maintenance performed by the worker to the data management server 50 as maintenance information to be updated, the latest information is accumulated in the data management server 50. , Can improve the reliability of data.

  In addition, the maintenance system for the cargo handling machine of the present invention is not limited to the above-described embodiment, and can be applied to container cranes and tower cranes other than the continuous unloader. Of course, various changes can be made without departing from the scope of the invention.

50 Data Management Server 51 Maintenance Object 52 Identification Plate 53 Sensor 54 Main Body Controller 55 Drive Device 59 Wearing Display Device

Claims (4)

A maintenance system for a cargo handling machine equipped with maintenance objects,
An identification plate to be affixed to the cargo handling machine and maintenance object;
A sensor for detecting a state quantity of the maintenance object;
A main body controller for inputting a state quantity of the maintenance object detected by the sensor and controlling a driving device of the cargo handling machine including the maintenance object;
Data management that is connected to the main body controller via the Internet and stores maintenance information of the maintenance object and operation data of the operation result of the cargo handling machine based on the state quantity of the maintenance object detected by the sensor Server,
The maintenance information on the maintenance object of the cargo handling machine specified by the image of the identification plate captured by the built-in camera connected to the data management server via the Internet is read from the data management server. A maintenance system for a cargo handling and transporting machine, comprising a display device that displays a display device that can be worn by a worker.   2. The maintenance system for a cargo handling machine according to claim 1, wherein the identification plate identifies the cargo handling machine and a maintenance object by a shape and a drawn pattern / number.   The maintenance system for a cargo handling machine according to claim 1 or 2, wherein the mounting display device is a wearable glass having an augmented reality function for overlaying maintenance information on a maintenance object actually viewed by an operator.   The said mounting display apparatus is a maintenance system of the cargo handling machine of Claim 3 which uploads to the said data management server as the maintenance information which should update the content of the maintenance which the operator implemented.

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