Excavator control device

Abstract

To provide a shovel management device for determining a shape of a bucket.SOLUTION: A shovel management device capable of determining a shape of a bucket of a work machine, which determines the shape of the bucket based on past work forms of the work machine.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a management device for a shovel. [Background technology]

[0002] The excavator has a boom attached to a rotating upper body, an arm attached to the boom, and a bucket attached to the arm. The bucket is connected to the arm with two pins, and is configured so that the bucket can be replaced when worn out or depending on the work being done by the excavator.

[0003] Patent Document 1 discloses an excavator that calculates the amount of wear on a bucket. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] International Publication No. 2016 / 098741 Summary of the Invention [Problem to be solved by the invention]

[0005] Patent Document 1 takes into consideration wear on the bucket toe. However, the load during work such as excavation is exerted not only on the toe but also on the entire bucket. Therefore, if the bucket is not selected appropriately, it may be damaged (cracked, etc.). For this reason, it is necessary to select an appropriate bucket depending on the load conditions during work.

[0006] Therefore, an object of the present invention is to provide a management device for a shovel that determines the shape of a bucket. [Means for solving the problem]

[0007] An embodiment of the present invention is a management device for a shovel that determines the shape of a bucket of a shovel, and improves fuel efficiency of the shovel based on past work patterns of the shovel. and, Shortening the working time of the excavator Shrinkage determining a shape of the bucket that realizes at least one of the above; the work form includes a load applied to the bucket and an excavation method, and the excavation method is determined based on a toe trajectory of the bucket; The excavation method includes arm excavation and bucket excavation. . [Effects of the Invention]

[0008] According to an embodiment of the present invention, it is possible to provide a management device for a shovel that determines the shape of a bucket. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram showing an example of the configuration of a construction machine system according to an embodiment of the present invention. [Figure 2] 10 is a flowchart showing an example of a shape calculation process according to an embodiment of the present invention. [Figure 3] 10 is a flowchart of a method for calculating the distribution of cumulative damage and the distribution of remaining life. [Figure 4] FIG. 1 is a schematic diagram showing an example of a series of operations repeated by a shovel that places a heavy load on the bucket. [Figure 5] FIG. 2 is a block diagram of a management device. DETAILED DESCRIPTION OF THE INVENTION

[0010] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS In the following, embodiments of the present invention will be described with reference to the accompanying drawings. In the drawings, identical or corresponding components are designated by identical or corresponding reference numerals, and the description thereof will be omitted.

[0011] An example of a construction machine system according to this embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing an example of the configuration of a construction machine system according to this embodiment.

[0012] The construction machine system according to this embodiment includes an excavator (construction machine) PS, an excavator support device 20, and a management device 30 for the excavator PS, which are configured to be able to communicate with each other via a communication network 40.

[0013] The shovel PS is equipped with attachments including a boom 4, an arm 5, and a bucket 6. The boom 4, the arm 5, and the bucket 6 are hydraulically driven by a boom cylinder 7, an arm cylinder 8, and a bucket cylinder 9, respectively. The shovel PS is also equipped with a communication device T1. The communication device T1 has a function of communicating with the management device 30 via a communication network 40.

[0014] The shovel support device 20 includes a transmission / reception circuit 21, a processing device 22, an input device 23, and a display screen 24. The shovel support device 20 may be, for example, a smartphone, a tablet terminal, a notebook PC, or the like.

[0015] The transmission / reception circuit 21 has a function of communicating with the management device 30 via the communication network 40 .

[0016] The processing device 22 processes data based on the data received from the management device 30 via the communication network 40 and the transmission / reception circuit 21, and displays the processing results on the display screen 24.

[0017] The input device 23 accepts operations by a user of the excavator support device 20. A command input through the input device 23 is input to the processing device 22.

[0018] The display screen 24 displays the processing results from the processing device 22. For example, a touch panel is used for the display screen 24. When a touch panel is used, the display screen 24 is also used as the input device 23.

[0019] The management device 30 includes a communication device 31, a processing device 32, a storage device 33, an output device 34, and an input device 35. The management device 30 may be, for example, a server, a PC, or the like.

[0020] The communication device 31 receives data transmitted from the excavator PS, which is a subject of management, via the communication network 40, and transmits and receives various data to the excavator support device 20. The data received by the communication device 31 is stored in the storage device 33. The data transmitted from the excavator PS, which is a subject of management, includes input from an operator using an operating lever (not shown), the oil pressure in each hydraulic cylinder of the excavator PS, and measurement results of the boom angle, arm angle, and bucket angle, which indicate the attitude of the attachment, and the swing angle, which indicates the orientation of the upper swing structure. The data transmitted from the excavator support device 20 includes information about the excavator PS input by the user of the excavator support device 20 via the input device 23. The various data transmitted to the excavator support device 20 includes the results of processing by the processing device 32.

[0021] The processing device 32 acquires data that associates customer data with work forms stored in the storage device 33, and calculates the cumulative damage level and remaining life of the bucket 6. The processing device 32 also determines a suitable shape of the bucket 6 based on the past work forms of the excavator PS (including the cumulative damage level and remaining life calculated based on the work form, etc.).

[0022] "Customer information" is information identifying a customer, such as the customer name and customer identification number. "Working mode" includes, for example, operating environment information, actual field load data (load data), work target information, operating status information, malfunction information, and bucket shape information. "Operating environment information" includes information related to the environment in which the excavator PS operates, such as high altitude, a quarry, a sand pit, forestry, or a port. "Actual field load data" includes measurement results related to the operation of the excavator PS, such as the operator's control lever input, the hydraulic pressure in each hydraulic cylinder of the excavator PS, the boom angle, arm angle, and bucket angle indicating the attachment's attitude, and the swing angle indicating the orientation of the upper swing structure. "Working target information" includes information identifying the work target, such as rocks and soil. "Operating status information" includes the frequency of work content, such as simple excavation, trench excavation, earth leveling, soil loading, and earth pounding. "Malfunction information" includes information on damage to the attachment, frame, crawler, etc., that occurred when performing a specified work content. The "bucket shape information" input to the processing device 32 includes information indicating the shape of the bucket 6 attached to the shovel PS when the actual field load data, etc. is acquired (e.g., bucket width, bucket capacity, bucket bottom length, bucket depth, bucket arc radius, bucket arc shape, parts used, welding locations, welding method between parts, etc.).

[0023] "Cumulative damage" refers to the degree of damage to the parts of the excavator PS accumulated over one cycle when similar operations are repeated periodically. For example, when simple excavation work is being performed, one cycle corresponds to the operations from the start of excavation through lifting and swinging, earth removal, and return swinging, to the start of the next excavation. "Remaining life" refers to the life until the parts of the excavator PS are destroyed. The shape of the bucket 6 determined by the processing device 32 includes information such as bucket width, bucket capacity, bucket bottom length, bucket depth, bucket arc radius, bucket arc shape, parts used, welding locations, and welding method between parts.

[0024] The storage device 33 stores, for example, a computer program executed by the processing device 32, and data relating customer data and work formats.

[0025] Output device 34 displays the results of processing by processing device 32, such as the cumulative damage level of the attachment, remaining lifespan, and the determined shape of bucket 6. Note that output device 34 may also display the work time until the work content (e.g., excavation of a predetermined area shown on a working drawing) is completed, the amount of work (e.g., the volume of excavated earth and sand), fuel consumption, the lifespan of bucket 6, and the like, when the shape of bucket 6 is changed to the determined bucket shape. Output device 34 may also display the work time until the work content with the current bucket 6 is completed, the amount of work, fuel consumption, the lifespan of bucket 6, and the like. This makes it easy to understand the improvement status of the work time, amount of work, fuel consumption, lifespan, and the like, by changing the bucket 6 from the current bucket shape to the determined bucket shape.

[0026] The input device 35 accepts operations by an operator of the management device 30. Commands input through the input device 35 are input to the processing device 32.

[0027] Next, a pre-processing (data accumulation) performed by the management device 30 before the management device 30 executes the process of determining the bucket shape will be described.

[0028] In this example, a reference bucket serving as a reference is attached to the shovel PS as the bucket 6. As a pre-processing step, the shovel PS transmits the "model number (serial number) of the shovel PS," "customer information," "operating environment information," "actual site load data," "work target information," "operating status information," and "bucket shape information" to the management device 30 while in operation. As a result, the management device 30 stores the information transmitted from the shovel PS in the storage device 33. When a malfunction occurs in the shovel PS, a worker possessing the shovel support device 20 goes to the work site of the shovel PS and transmits the malfunction that has occurred in the shovel PS from the shovel support device 20 to the management device 30 as "malfunction information." At that time, the worker may transmit this information from the shovel support device 20 to the management device 30 together with the "customer information," the "model number (serial number) of the shovel PS," "operating environment information," etc.

[0029] The management device 30, which has received the "customer information," "excavator PS model number (serial number)," "operating environment information," and "fault information," extracts the "actual field load data," "work target information," "operating status information," and "bucket shape information" of the faulty excavator PS from the storage device 33. The processing device 32 then calculates the cumulative damage level or remaining life span based on the "actual field load data." The operator of the management device 30 then compares the calculated cumulative damage level or remaining life span with the "fault information," "operating environment information," "operating status information," and the like, to confirm the validity of the calculation results. If the calculation results are valid, the processing device 32 associates the calculation results with the "operating environment information," "actual field load data," and "operating status information," and stores them in the storage device 33. In this way, the management device 30 completes the pre-processing.

[0030] An example of a process (hereinafter referred to as "shape calculation process") for calculating the shape of a part of an excavator PS suited to the customer's work style upon receiving an order from the customer after the completion of preliminary processing will be described with reference to Figure 2. The following describes an example in which the shape of a bucket 6 is calculated as a part of an excavator PS, but the shapes of other parts, such as the boom 4 and arm 5, can also be calculated in a similar manner.

[0031] Fig. 2 is a flowchart showing an example of shape calculation processing according to an embodiment of the present invention. The shape calculation processing shown in Fig. 2 is executed by, for example, the management device 30. However, the shape calculation processing may also be executed by the excavator support device 20. Below, as an example, a case will be described in which the management device 30 executes the shape calculation processing applied to input operating environment information, operating status information, etc. Here, the shape calculation processing includes processing for calculating a shape in which stress is reduced with respect to an estimated load based on input information, local processing (heat treatment, grinding, peening) for reducing the cumulative damage level (extending the remaining life), etc.

[0032] First, when selling an excavator after receiving an order from a customer, a user (salesperson, etc.) of the excavator support device 20 inputs, in addition to customer information through a meeting with the customer, information on the operating environment in which the excavator to be newly purchased will operate, operating status information, etc., into the excavator support device 20. The excavator support device 20 transmits the customer information, operating environment information, operating status information, etc. to the management device 30 via the transmission / reception circuit 21. As a result, the communication device 31 of the management device 30 receives the customer data, operating environment information, operating status information, etc. via the communication network 40, and the processing device 32 acquires the customer data, operating environment information, operating status information, etc. input via the communication device 31 (step ST1).

[0033] Thereafter, the processing device 32 refers to the storage device 33 and extracts similar operating environment information, operating status information, etc. based on the customer data, operating environment information, operating status information, etc. acquired in step ST1. At the same time, based on the extracted similar operating environment information, operating status information, etc., it extracts actual field load data and cumulative damage level (or remaining life) associated with them (step ST2).

[0034] Thereafter, the processing device 32 calculates a shape of the bucket 6 in which the strength has been partially changed based on the cumulative damage degree or remaining life extracted in step ST2 (step ST3). In this embodiment, the processing device 32 calculates a shape in which the strength of the portions of the bucket 6 in which the cumulative damage degree is high or the remaining life is short is increased so that the distribution of the cumulative damage degree or the distribution of the remaining life of the bucket 6 extracted in step ST2 becomes substantially uniform throughout the bucket 6. Shapes in which the strength has been partially increased include, for example, a shape in which a reinforcing plate is attached by welding, a shape in which the plate thickness has been increased, and a shape in which shot peening has been performed. Furthermore, the processing device 32 may calculate a shape in which the strength of the portions of the bucket 6 in which the cumulative damage degree is low or the remaining life of the bucket 6 becomes substantially uniform throughout the bucket 6. Shapes in which the strength has been partially reduced include, for example, a shape in which the plate thickness has been reduced. A shape in which the plate thickness has been reduced can reduce the weight of the bucket 6 while maintaining the remaining life of the bucket 6 as a whole.

[0035] Thereafter, the processing device 32 displays the shape of the bucket 6 whose strength has been partially changed, calculated in step ST3, on the output device 34 (step ST4). This allows the operator of the management device 30 to easily understand the shape of the bucket 6 of the shovel PS that is suitable for the customer's work style by checking the image displayed on the output device 34. The processing device 32 may also display the shape of the bucket 6 whose strength has been partially changed, calculated in step ST3, on the display screen 24 of the shovel support device 20 via the communication network 40. In this case, the user of the shovel support device 20 can easily understand the shape of the bucket 6 of the shovel PS that is suitable for the customer's work style by checking the image displayed on the display screen 24.

[0036] Next, a method for calculating the cumulative damage distribution and remaining life distribution of the bucket 6 of the shovel PS in pre-processing will be described with reference to Figs. 3 and 4. Fig. 3 is a flowchart of the method for calculating the cumulative damage distribution and remaining life distribution. Fig. 4 is a schematic diagram showing an example of an operation in which a large load is placed on the bucket 6 in a series of operations repeated by the shovel PS. Here, the explanation will be given assuming that the steps within one cycle of the series of operations repeated by the shovel PS are "digging" (see Fig. 4), "lifting and swinging," "earth discharge," and "return swing." Of these operations, a large load is placed on the bucket 6 during the excavation shown in Fig. 4.

[0037] Returning to FIG. 3, in step ST11, a plurality of times to be analyzed (hereinafter referred to as "analysis times") are extracted within one cycle of a series of operations. For example, characteristic times such as peaks and inflection points of the time waveforms of the hydraulic pressure in the cylinder and the swing angle are extracted as analysis times. Increasing the number of analysis times extracted improves the accuracy of the analysis, but increases the calculation time required for the analysis. The processing device 32 may automatically extract the analysis times based on the time waveforms of the hydraulic pressure in the cylinder and the swing angle, or the operator may observe the time waveforms of the hydraulic pressure in the cylinder and the swing angle to determine the analysis times and input them from the input device 35.

[0038] In step ST12, an analytical model is used to calculate the distribution of stress acting on each of the components, such as the boom 4 and arm 5, at each analysis time. The stress distribution is calculated based on the specific posture of the excavator PS determined for each analysis time. That is, the stress distribution is calculated based on the load acting on the components of the excavator PS for each of the various postures of the excavator PS that appear within one cycle of a repeated series of operations. A numerical analysis method, such as the finite element method, can be applied to calculate the stress distribution. In this case, the posture of the excavator PS and the load acting on the components of the excavator PS are used as boundary conditions. The load is expressed as a vector. The magnitude and direction of the load are determined from the hydraulic pressure in the hydraulic cylinder, the axial direction of the hydraulic cylinder (posture of the attachment), and the swing angular acceleration. The swing angular acceleration is calculated by differentiating the swing angle twice.

[0039] In step ST13, the cumulative damage level is calculated for each evaluation point of each component. This allows the distribution of cumulative damage levels within the component to be obtained. The cumulative damage level is calculated based on the extreme values ​​of stress extracted from the time change of stress. An example of a method for calculating cumulative damage level will be described below. First, the maximum and minimum values ​​of the time waveform of stress within one cycle of a series of operations are detected. Based on the maximum and minimum values, a stress range Δσ, which is the range in which stress varies, is determined, and the occurrence frequency for each stress range Δσ is calculated. The occurrence frequency of stress range Δσi is represented by ni. Furthermore, it is assumed that the fatigue life (number of cycles to fracture) in stress range Δσi is Ni times. According to the cumulative fatigue damage law (also known as the linear damage law), the cumulative damage level D is expressed by the following equation.

[0040]

number

[0041] In step ST14, the relative value (hereinafter simply referred to as "relative value") of the calculated value of the cumulative damage calculated in step ST13 to the estimated value is calculated. When the calculated value of the cumulative damage is equal to the estimated value of the cumulative damage, the relative value is "1." The "estimated value of the cumulative damage" means the cumulative damage per cycle calculated backward from the guaranteed life of the part (a predetermined target life). In other words, when the calculated value of the cumulative damage per cycle is equal to the estimated value of the cumulative damage, if the same operation as when the cumulative damage was calculated is continued, the part can be used until the guaranteed life without fatigue failure. When the calculated value of the cumulative damage exceeds the estimated value, the part with accumulated cumulative damage exceeding the estimated value is determined to be at high risk of fatigue failure before reaching the guaranteed life.

[0042] For example, if the guaranteed life of a part is Tg (hours) and the average time per cycle of a series of operations is Tp (hours), the guaranteed number of repetitions is expressed as Tg / Tp. The estimated value of the cumulative damage level is expressed as the reciprocal of this, i.e., Tp / Tg.

[0043] In step ST15, the distribution of remaining life spans of the parts is calculated. A method for calculating remaining life spans will be described below. The management device 30 calculates the sum of the calculated values ​​of the cumulative damage degree from the start of operation of the machine to the present time for each machine and each part of the excavator PS to be managed. The sum of the cumulative damage degree in the past up until the start of the operation that is the subject of this data collection is stored in the storage device 33. When the sum of the calculated values ​​of the cumulative damage degree at a certain location of a part of the excavator PS becomes 1, a break will occur at that location. The remaining life span is found by subtracting the sum of the calculated values ​​of the cumulative damage degree from 1.

[0044] The output device 34 and / or display screen 24 may be configured to display the shape of the bucket 6 as an image, and to display the distribution of the cumulative damage level of the bucket 6 using shades of gray or different colors. The operator of the management device 30 can easily recognize the distribution of the cumulative damage level of the bucket 6 by checking the image displayed on the output device 34. Furthermore, the configuration may also be such that, for example, the material and dimensions of the parts, reinforcement treatment for the parts, etc. are displayed.

[0045] Next, the management device 30 of the excavator will be further described with reference to Fig. 5. Fig. 5 is a block diagram of the management device 30.

[0046] 1 and 5, the management device 30 includes a communication device 31, a processing device 32, a storage device 33, an output device 34, and an input device 35. Also, as shown in Fig. 5, the processing device 32 includes an excavation method determination unit 321, a load calculation unit 322, an operator identification unit 323, a work object determination unit 324, a cumulative damage level calculation unit 325, a remaining life calculation unit 326, a machine learning unit 327, and a bucket shape determination unit 328. Also, the storage device 33 includes a customer information storage unit 331, a work form storage unit 332, and a learned model storage unit 333.

[0047] The customer information transmitted from the shovel PS is stored in the customer information storage unit 331 of the storage device 33. In addition, the work form transmitted from the shovel PS is stored in the work form storage unit 332 of the storage device 33 as the past work form of the shovel PS.

[0048] The excavation method determination unit 321 determines the excavation method based on the work mode stored in the work mode storage unit 332. Here, it determines whether the excavation method is bucket excavation or arm excavation. Bucket excavation refers to excavating earth and sand by rotating the bucket 6 in a downward direction mainly by driving the bucket cylinder 9. Arm excavation refers to excavating earth and sand by pulling the bucket 6 horizontally by rotating the arm 5 in a downward direction mainly by driving the arm cylinder 8. Specifically, the excavation method determination unit 321 calculates the toe trajectory of the bucket 6 based on the actual field load data of the work mode (boom angle, arm angle, bucket angle). Furthermore, the excavation method determination unit 321 determines whether the bucket 6 is currently excavating based on the actual field load data of the work mode (hydraulic pressure in the cylinder). Then, the excavation method determination unit 321 determines whether the excavation method is arm excavation or bucket excavation based on the toe trajectory during excavation.

[0049] The load calculation unit 322 calculates the load on the bucket 6 based on the information on the work mode stored in the work mode storage unit 332. Specifically, the excavation method determination unit 321 calculates the load on the bucket 6 based on the actual field load data of the work mode.

[0050] The operator identification unit 323 identifies the operator who performed the work with the shovel PS. Specifically, the operator identification unit 323 may identify the operator based on customer information (for example, an operator shift schedule) stored in the customer information storage unit 331.

[0051] The work object determination unit 324 determines the work object to be worked on by the shovel PS. The work object is an object to be scooped up by the shovel PS, and is determined from, for example, earth and sand, rocks, mud, etc. Specifically, the work object determination unit 324 determines the work object based on work object information of the work form. Alternatively, the work object determination unit 324 may be configured to determine the work object based on the load during work calculated by the load calculation unit 322.

[0052] The cumulative damage degree calculation unit 325 calculates the cumulative damage degree of the bucket 6 based on the flow shown in Fig. 2. The remaining life calculation unit 326 calculates the remaining life of the bucket 6 based on the cumulative damage degree calculated by the cumulative damage degree calculation unit 325.

[0053] The machine learning unit 327 performs machine learning based on information related to the work form (work form information) (including each piece of information calculated based on the work form described above) stored in the work form storage unit 332, bucket shape information, and the cumulative damage level (remaining life) calculated using the information, to generate a trained model. The generated trained model is stored in the trained model storage unit 333 of the storage device 33. In this way, the cumulative damage level calculated by the cumulative damage level calculation unit 325 based on the work form information and bucket shape information is used to model the relationship between the cumulative damage level, work form information, and bucket shape information as a trained model. Then, the trained model can calculate bucket shape information that satisfies these conditions based on the cumulative damage level and work form information.

[0054] Here, a trained model is generated based on past work forms stored in the storage device 33. Here, for example, among the work forms, actual field load data (excavation method information, load information), work object information, operating status information, and malfunction information are used as input data, and bucket shape information is used as output data, and machine learning is performed to generate a trained model. The input data may also include the excavation method determined by the excavation method determination unit 321, the load on the bucket 6 calculated by the load calculation unit 322, the work object determined by the work object determination unit 324, the cumulative damage calculated by the cumulative damage calculation unit 325, and the remaining lifespan calculated by the remaining lifespan calculation unit 326. The reward for reinforcement learning may also include, for example, at least one of the lifespan of the bucket 6, the fuel efficiency of the shovel PS, the working time of the shovel PS, and the work volume of the shovel PS.

[0055] The bucket shape determination unit 328 determines the shape of the bucket 6 based on the trained model stored in the trained model storage unit 333. That is, the shape of the bucket 6 is determined using the trained model based on work form information of the work site where a change in the shape of the bucket 6 is being considered.

[0056] Bucket shape determination unit 328 may determine the shape of bucket 6 based on a table (not shown) stored in storage device 33. Here, the table defines bucket shapes with the load of bucket 6 as the first axis and the excavation method (arm excavation, bucket excavation) as the second axis. Bucket shape determination unit 328 may determine the shape of bucket 6 by referring to the table based on the load calculated by load calculation unit 322 and the excavation method calculated by excavation method determination unit 321.

[0057] As described above, the management device 30 can determine an appropriate bucket shape for each work site and present it to the user. By changing the bucket 6 attached to the shovel PS to the determined bucket shape, damage to the bucket 6 can be suppressed and the lifespan of the bucket 6 can be extended. Furthermore, the fuel efficiency of the shovel PS can be improved. Furthermore, the working time of the shovel PS can be shortened. Furthermore, the amount of work done by the shovel PS can be increased.

[0058] Furthermore, management device 30 may output to output device 34 the rewards (lifespan, fuel efficiency, working time, and work volume) of reinforcement learning when the bucket 6 attached to the shovel PS is changed to the determined bucket shape. Management device 30 may also output to output device 34 the rewards (lifespan, fuel efficiency, working time, and work volume) of reinforcement learning for the current bucket 6. This allows the user to easily understand the effect of replacing the bucket 6.

[0059] Although the bucket shape has been described as being determined for each work site, this is not limiting. The bucket shape may also be determined for each operator of the excavator PS. That is, even at the same work site, operators may be divided into those who primarily excavate earth and sand using bucket excavation and those who primarily excavate earth and sand using arm excavation, depending on their habits and preferences. According to this embodiment, even at the same work site, the management device 30 can determine a preferred bucket shape for each operator and present it to the user. This makes it possible to present a bucket shape that is suitable for each operator.

[0060] Although the embodiments for carrying out the present invention have been described above, the above content does not limit the content of the invention, and various modifications and improvements are possible within the scope of the present invention.

[0061] In the construction machine system shown in Fig. 1, the shovel PS has been described as transmitting data to the management device 30 via a communication device (not shown), but the present invention is not limited to this. The configuration may be such that data from the shovel PS is stored on a recording medium such as a removable medium, and the data stored on the recording medium is input to the management device 30. Alternatively, the configuration may be such that data stored on the recording medium is input to the shovel support device 20, and then input from the shovel support device 20 to the management device 30 via the communication network 40. Alternatively, the configuration may be such that the shovel PS and the shovel support device 20 communicate (wired or wirelessly).

[0062] The management device 30 of the excavator PS according to this embodiment has been described as outputting the processing results (the determined shape of the bucket 6) to the output device 34 of the management device 30, but this is not limited to this. The management device 30 of the excavator PS may be configured to output the processing results (the determined shape of the bucket 6) to the communication device 31. This causes the processing results to be transmitted to the processing device 22 of the excavator support device 20 via the communication device 31, the communication network 40, and the transmission / reception circuit 21. The processing device 22 may then display the received processing results on the display screen 24. Alternatively, the processing results may be displayed on a display screen (not shown) provided on the excavator PS. [Explanation of symbols]

[0063] 20 Excavator support equipment 21 Transmitting and receiving circuit 22 Processing equipment 23 Input Devices 24 display screen 30 Management device 31 Communication equipment 32 Processing equipment 33 Storage device 34 Output Devices 35 Input Devices 40 Communication Network 321 Excavation Method Judgment Department 322 Load Calculation Unit 323 Operator Identification Unit 324 Work Object Determination Unit 325 Cumulative damage calculation unit 326 Remaining life calculation section 327 Machine Learning Department 328 Bucket shape determination unit 331 Customer information storage unit 332 Work form memory unit 333 Trained Model Memory

Claims

1. A management device for a shovel that determines the shape of a bucket of a shovel, determining a shape of the bucket that achieves at least one of improving fuel efficiency of the shovel and shortening a working time of the shovel based on past working patterns of the shovel; The working mode includes a load applied to the bucket and an excavation method, The excavation method is determined based on a toe trajectory of the bucket, The excavation method includes arm excavation and bucket excavation. Excavator management device.

2. The operation mode includes input of an operating lever by an operator. The excavator management device according to claim 1.

3. The work form includes information on a work target, The work object includes soil, rocks, or mud. The excavator management device according to claim 1 or 2.

4. generating a learning model by machine learning based on the past work patterns of the excavator; The reward for the machine learning includes at least one of a lifespan of the bucket, a fuel consumption of the shovel, and a working time of the shovel. The excavator management device according to any one of claims 1 to 3.

5. displaying, as an effect when the determined bucket is used, at least one of an improvement in fuel efficiency of the shovel and a reduction in working time of the shovel; the determined bucket is a bucket different from a reference bucket currently attached to the shovel; The excavator management device according to any one of claims 1 to 4.

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