Information processing device, information processing method, and work machine

Abstract

To recognize the history of treatment of a rock absorbing carbon dioxide.SOLUTION: The information processing apparatus includes a processor. The processor acquires processing data when the work machine processes rock that absorbs carbon dioxide, and stores the processing data in the storage device.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, an information processing method, and a work machine. [Background technology]

[0002] One of the technologies for preventing global warming is known as negative emission technology, which absorbs carbon dioxide from the atmosphere. One of the known negative emission technologies is a technology that uses rocks to absorb carbon dioxide. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-169854 Summary of the Invention [Problem to be solved by the invention]

[0004] To understand the contribution of rocks to preventing global warming, it is necessary to recognize the processing history of the rocks.

[0005] The present disclosure aims to recognize the history of rock processing to absorb carbon dioxide. [Means for solving the problem]

[0006] According to the present disclosure, there is provided an information processing device including a processor, wherein the processor acquires processing data when a work machine processes rock that absorbs carbon dioxide, and stores the processing data in a storage device. [Effects of the Invention]

[0007] The present disclosure allows for the recognition of the processing history of rocks that absorb carbon dioxide. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram showing a management system for a work machine according to an embodiment. [Figure 2] FIG. 2 is a diagram showing a work machine according to an embodiment. [Figure 3] FIG. 3 is a diagram showing a work site according to the embodiment. [Figure 4] FIG. 4 is a block diagram showing a control system for a wheel loader according to the embodiment. [Figure 5] FIG. 5 is a flowchart showing an information processing method according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings, but the present disclosure is not limited to the embodiments. The components of the embodiments described below can be combined as appropriate. In addition, some components may not be used.

[0010] [Overview of the management system] FIG. 1 is a diagram showing a management system 1 for a work machine 2 according to an embodiment. The management system 1 manages a work machine 2 that operates at a work site 3. In the embodiment, the work machine 2 is a work machine that uses a battery as its power source. However, the work machine 2 may also be a work machine that uses a fuel cell as its power source.

[0011] In this embodiment, no operator is on board the work machine 2. The work machine 2 is remotely controlled. A remote control room 4 is installed outside the work machine 2. The remote control room 4 is installed in a remote location from the work site 3. An information terminal 5 and a remote control device 6 for remotely controlling the work machine 2 are each disposed in the remote control room 4. The information terminal 5 and the remote control device 6 are each located outside the work machine 2. The information terminal 5 includes a computer system disposed in the remote control room 4.

[0012] The remote control device 6 is operated by an operator in the remote control room 4. When operated by the operator, the remote control device 6 generates an operation signal for remotely operating the work machine 2. The operation signal generated in the remote control device 6 is input to the information terminal 5. The information terminal 5 generates a remote operation command based on the operation signal from the remote control device 6. The information terminal 5 transmits the remote operation command to the work machine 2 via the communication system 7.

[0013] The work machine 2 operates based on remote control commands transmitted from an information terminal 5 located outside the work machine 2. At least one of the work machine 2 and the work site 3 is provided with a camera that captures image data of the work site 3. The image data of the work site 3 is transmitted to the information terminal 5 via a communication system 7 and displayed on a display device of the information terminal 5. The operator can operate the remote control device 6 while checking the image data of the work site 3.

[0014] The communication system 7 may include a public communication line or a specific communication line. Examples of the communication system 7 include a mobile phone communication network or a satellite communication network. The communication system 7 may include the Internet or a local area network.

[0015] The management system 1 has a management server 8. The management server 8 includes a computer system. The management server 8 is able to communicate with the work machine 2 via the communication system 7. The management server 8 collects operation data of the work machine 2. The management server 8 is an example of an information processing device that processes data.

[0016] [Work machinery] FIG. 2 is a diagram showing a work machine 2 according to an embodiment. In the embodiment, the work machine 2 is a wheel loader. In the following description, the work machine 2 will be referred to as the wheel loader 2 where appropriate. The wheel loader 2 has a vehicle body 9, a traveling device 10, and a work implement 11. The vehicle body 9 includes a front frame and a rear frame. The front frame and the rear frame are connected via an articulation mechanism. The traveling device 10 has wheels 12 attached to the vehicle body 9. The work implement 11 is attached to the front of the vehicle body 9. The work implement 11 has a boom 13 connected to the vehicle body 9, and a bucket 14 connected to the boom 13.

[0017] The wheel loader 2 travels on the ground at a work site 3 using a traveling device 10. The wheel loader 2 performs work at the work site 3 using a work implement 11. Examples of work performed by the wheel loader 2 include excavation work, loading work, and transport work.

[0018] [Worksite] FIG. 3 is a diagram showing a work site 3 according to an embodiment. A plurality of wheel loaders 2 and work machines 20 are in operation at the work site 3. The work machines 20 are mobile crushers. In the following description, the work machines 20 will be referred to as crushers 20 where appropriate. The wheel loaders 2 include a wheel loader 21 that has a crushing mechanism for crushing rocks, and a wheel loader 22 that does not have a crushing mechanism. The crushing mechanism is arranged in a bucket 141 of the wheel loader 21.

[0019] At work site 3, rocks that absorb carbon dioxide are processed. The processing of the rocks includes crushing the rocks and spreading the granules produced by crushing the rocks. A wheel loader 21 and a crusher 20 crush the rocks. A wheel loader 22 spreads the granules.

[0020] Examples of rocks that absorb carbon dioxide include mafic rocks and ultramafic rocks. Examples of rocks that absorb carbon dioxide include basalt and peridotite. Examples of rocks that absorb carbon dioxide include rocks containing compounds containing alkaline earth metals, such as those disclosed in JP 2022-169854 A.

[0021] Rock weathering causes carbon dioxide contained in the atmosphere to be absorbed by the rocks. By promoting rock weathering, carbon dioxide contained in the atmosphere can be effectively absorbed by the rocks. One method for promoting rock weathering is to crush the rocks to increase their surface area. In the embodiment, the wheel loader 21 and the crusher 20 crush the rocks to promote rock weathering.

[0022] In this embodiment, the wheel loader 21 performs primary crushing to roughly crush the rocks. The crusher 20 performs secondary crushing to further crush the rock granules produced by the primary crushing into smaller pieces. The wheel loader 22 scatters the rock granules produced by the secondary crushing onto the work site 3. The wheel loader 22 travels on the ground of the work site 3 using the traveling device 10 with the granules held in the bucket 14, and scatters the granules onto the work site 3.

[0023] [Control System] 4 is a block diagram showing a control system 50 for a wheel loader 2 according to an embodiment. The wheel loader 2 has a controller 51, a particle size sensor 71, a weight sensor 72, a travel sensor 73, a position sensor 74, and a camera 75. The crusher 20 has a particle size sensor 60 and a production amount sensor 61.

[0024] The controller 51 includes a computer. The controller 51 is an example of an information processing device that processes data. The controller 51 includes a processor 52, a storage device 53, an input / output interface 54, and a communication interface 55.

[0025] The processor 52 includes a CPU (Central Processing Unit). The processor 52 may also include a GPU (Graphics Processing Unit). The storage device 53 includes a recording medium that stores computer programs and data in a manner that allows the processor 52 to read them. The storage device 53 includes a system memory such as a RAM (Random Access Memory) or a ROM (Read Only Memory), and an auxiliary storage device. Examples of the auxiliary storage device include a hard disk or a semiconductor memory.

[0026] The input / output interface 54 is connected to each of the particle size sensor 71, weight sensor 72, travel sensor 73, position sensor 74, and camera 75. The processor 52 is connected to each of the particle size sensor 71, weight sensor 72, travel sensor 73, position sensor 74, and camera 75 via the input / output interface 54. The communication interface 55 communicates with each of the remote control device 6, management server 8, and crusher 20 via the communication system 7. The processor 52 receives operation signals from the remote control device 6 via the communication interface 55 and the communication system 7. The processor 52 receives detection data from the particle size sensor 60 and detection data from the production amount sensor 61 via the communication interface 55 and the communication system 7.

[0027] The processor 52 includes an acquisition unit 52A, a timer unit 52B, and a processing unit 52C. The acquisition unit 52A, the timer unit 52B, and the processing unit 52C each include a computer program, an algorithm, and data executed by the processor 52. The storage device 53 includes a history data storage unit 53A.

[0028] The acquisition unit 52A acquires processing data when the wheel loader 2 (21, 22) and the crusher 20 process rocks that absorb carbon dioxide. The timer unit 52B measures time. The processing unit 52C stores the processing data acquired by the acquisition unit 52A in the history data storage unit 53A of the storage device 53. The processing unit 52C transmits the processing data acquired by the acquisition unit 52A to the management server 8 via the communication interface 55 and the communication system 7. The management server 8 stores the processing data transmitted from the controller 51.

[0029] The particle size sensor 60 detects the particle size of rock particles generated by secondary crushing. The particle size refers to the size of the rock particles. The particle size includes the average particle size of multiple particles. An example of the particle size sensor 60 is an optical sensor having an irradiation unit that irradiates the particles with detection light and a light receiving unit that receives scattered light generated by irradiating the particles with the detection light.

[0030] The production amount sensor 61 detects the amount of rock granules produced by the secondary crushing. The production amount of granules includes the weight of the granules produced by the secondary crushing. The production amount sensor 61 may be a weight sensor that detects the weight of the granules fed into the crusher 20, or a weight sensor that detects the weight of the granules discharged from the crusher 20. The production amount of granules may include the volume of the granules produced by the secondary crushing.

[0031] The particle size sensor 71 detects the particle size of the rock particles scattered at the work site 3. The particle size sensor 71 is exemplified by the optical sensor described above.

[0032] The weight sensor 72 detects the amount of rock granules spread at the work site 3. The amount of granules spread includes the weight of the granules spread at the work site 3. The weight sensor 72 detects the weight of the bucket 14. The weight of the bucket 14 when empty is known. The more granules held in the bucket 14, the heavier the bucket 14 becomes. By detecting the weight of the bucket 14, the weight of the granules held in the bucket 14 can be detected. The granules are spread by discharging the granules held in the bucket 14 onto the ground at the work site 3. By detecting the weight of the bucket 14, the weight of the granules spread at the work site 3 is detected. The weight sensor 72 is an example of a spread amount sensor that detects the amount of granules spread.

[0033] The travel sensor 73 detects the travel speed and travel distance of the wheel loader 2 traveling within the work site 3 .

[0034] The position sensor 74 detects the position of the wheel loader 2. The position of the wheel loader 2 is detected using a global navigation satellite system (GNSS). The global navigation satellite system includes a global positioning system (GPS). The global navigation satellite system detects the position in a global coordinate system defined by coordinate data of latitude, longitude, and altitude. The global coordinate system is a coordinate system fixed to the Earth. The position sensor 74 includes a GNSS receiver, and detects the absolute position of the wheel loader 2, which indicates the position of the wheel loader 2 in the global coordinate system.

[0035] The camera 75 captures images of at least a part of the wheel loader 2 and objects around the wheel loader 2 .

[0036] [Information processing method] 5 is a diagram showing an information processing method according to the embodiment. The acquisition unit 52A acquires processing data when the wheel loader 2 (21, 22) and the crusher 20 process rocks.

[0037] The processing data includes the particle size of the granules generated by the secondary crushing. The acquiring unit 52A acquires the particle size of the granules from the particle size sensor 60. The acquiring unit 52A can calculate the particle size of the granules generated by the secondary crushing based on the detection data of the particle size sensor 60. Note that if the crusher 20 has an adjustment mechanism that adjusts the particle size of the granules in the crushing process, the acquiring unit 52A may acquire the adjustment value of the adjustment mechanism as the particle size of the granules.

[0038] The processed data includes the amount of granules produced by the secondary crushing. The acquisition unit 52A acquires the amount of granules produced from the production amount sensor 61. The acquisition unit 52A can calculate the amount of granules produced based on the detection data of the production amount sensor 61. The amount of granules produced by the secondary crushing includes the total weight of the granules produced by the secondary crushing.

[0039] The processed data includes the particle size of the granular material scattered at the work site 3. The acquisition unit 52A acquires the particle size of the granular material from the particle size sensor 71. The acquisition unit 52A can calculate the particle size of the granular material scattered at the work site 3 based on the detection data of the particle size sensor 71.

[0040] The processed data includes the amount of granular material spread at the work site 3. The amount of granular material spread includes the weight of the granular material spread at the work site 3. The acquisition unit 52A acquires the weight of the granular material from the weight sensor 72. The acquisition unit 52A can calculate the total weight of the granular material spread by the wheel loader 2 based on the detection data of the weight sensor 72 and the number of times the bucket 14 has spread the granular material.

[0041] The amount of granular material spread includes the thickness of the layer of granular material spread at the work site 3. The acquisition unit 52A acquires the thickness of the granular material layer from the travel sensor 73. The acquisition unit 52A can calculate the thickness of the granular material layer based on the detection data of the weight sensor 72 and the detection data of the travel sensor 73. If the amount of granular material per unit time discharged from the bucket 14 onto the ground at the work site 3 is constant, the thickness of the granular material layer will be thinner as the travel speed of the wheel loader 2 increases, and the thickness of the granular material layer will be thicker as the travel speed of the wheel loader 2 decreases. The acquisition unit 52A can calculate the thickness of the granular material layer based on the detection data of the weight sensor 72, which detects a decrease in the weight of the bucket 14, and the detection data of the travel sensor 73, which detects the travel speed of the wheel loader 2.

[0042] The processed data includes the scattering position of the granular material to be scattered at the work site 3. The acquisition unit 52A acquires the scattering position of the granular material from the position sensor 74. The acquisition unit 52A can calculate the scattering position of the granular material based on at least the detection data of the position sensor 74. The acquisition unit 52A can calculate the scattering position of the granular material based on the detection data of the weight sensor 72 and the detection data of the position sensor 74. The acquisition unit 52A can calculate the scattering position of the granular material based on the detection data of the position sensor 74 when the weight sensor 72 detects a decrease in the weight of the bucket 14. By calculating the scattering position of the granular material, the acquisition unit 52A can calculate the scattering area of ​​the granular material scattered on the ground at the work site 3. The acquisition unit 52A may calculate the scattering area of ​​the granular material based on the detection data of the weight sensor 72 that detects a decrease in the weight of the bucket 14 and the detection data of the travel sensor 73 that detects the travel distance of the wheel loader 2.

[0043] The processing data includes the granular dispersion time. The acquisition unit 52A acquires the granular dispersion time from the timer unit 52B. The acquisition unit 52A can calculate the granular dispersion time based on the detection data of the weight sensor 72 and the timing data of the timer unit 52B. The acquisition unit 52A can calculate the granular dispersion time based on the timing data of the timer unit 52B when the weight sensor 72 detects a decrease in the weight of the bucket 14.

[0044] The processed data includes the date and time of granular scattering. The acquisition unit 52A acquires the date and time of granular scattering from the timer unit 52B. The acquisition unit 52A can calculate the date and time of granular scattering based on the detection data of the weight sensor 72 and the timing data of the timer unit 52B. The acquisition unit 52A can calculate the date and time of granular scattering based on the timing data of the timer unit 52B when the weight sensor 72 detects a decrease in the weight of the bucket 14.

[0045] The processed data includes image data showing the state in which rock granules are being scattered at the work site 3. The acquisition unit 52A acquires the image data from the camera 75. The image data may be still image data or video data. The image data may be image data of the ground at the work site 3 onto which the granules are being scattered. The image data may be image data of the work machine 11 scattering the granules. The image data may include the date and time of scattering.

[0046] The processed data may include identification data such as the machine number to identify the work machine 2 that crushed or scattered the rocks, and identification data such as an operator ID to identify the operator who operated the work machine 2 that crushed or scattered the rocks.

[0047] The processing unit 52C stores the processing data acquired by the acquisition unit 52A in the history data storage unit 53A of the storage device 53. The processing unit 52C transmits the processing data acquired by the acquisition unit 52A to the management server 8 via the communication interface 55 and the communication system 7.

[0048] The processing unit 52C estimates the amount of carbon dioxide absorption by the rock granules scattered at the work site 3 based on the processed data acquired by the acquisition unit 52A and the physical properties of the rock. The processing unit 52C estimates the amount of carbon dioxide absorption by the rock granules scattered at the work site 3 based on at least the amount of granules scattered at the work site 3. The processing unit 52C estimates the amount of carbon dioxide absorption by the rock granules scattered at the work site 3 based on the processed data related to the rock granules scattered at the work site 3 and the physical properties of the rock. The smaller the particle size of the granules scattered at the work site 3, the greater the amount of carbon dioxide absorption. The greater the amount of granules scattered at the work site 3, the greater the amount of carbon dioxide absorption. Furthermore, the amount of carbon dioxide absorption varies depending on the physical properties (type) of the rock. The processing unit 52C can estimate the amount of carbon dioxide absorption by the rock granules based on, for example, the particle size and amount of granules scattered at the work site 3 and the physical properties of the rock. In the embodiment, the storage device 53 pre-stores correlation data indicating the relationship between the physical properties of the granules, including the type, granularity, and amount (weight or volume) of the granules, and the amount of carbon dioxide absorption by the granules. The processing unit 52C can estimate the amount of carbon dioxide absorption by rock granules, for example, based on the granularity and amount (weight or volume) of the granules spread at the work site 3 and the correlation data. The acquisition unit 52A stores the estimated amount of carbon dioxide absorption in the history data storage unit 53A. The acquisition unit 52A transmits the estimated amount of carbon dioxide absorption to the management server 8. The management server 8 stores the amount of carbon dioxide absorption. The amount of carbon dioxide absorption may be considered to be part of the processing data.

[0049] Processing unit 52C may associate the spraying positions of the granules with the amount of carbon dioxide absorption and store them in history data storage unit 53A, or may transmit them to management server 8. Management server 8 may store the spraying positions of the granules with the amount of carbon dioxide absorption in association with each other.

[0050] The crusher 20 may be provided with a crusher controller (computer) having at least one processor and a storage device. The crusher controller may estimate the amount of carbon dioxide absorption by the rock particles scattered at the work site 3 based on processing data related to the rock particles scattered at the work site 3 and the physical properties of the rock. If the above-mentioned correlation data is pre-stored in the crusher controller, the crusher controller can estimate the amount of carbon dioxide absorption by the rock particles based on the particle size and amount (weight or volume) of the particles scattered at the work site 3 and the correlation data. The crusher 20 may also be provided with a rock sensor that detects the type of rock. The crusher controller acquires detection data from the rock sensor. The crusher controller can estimate the amount of carbon dioxide absorption by the rock particles scattered at the work site 3 based on the detection data from the rock sensor, the detection data from the particle size sensor 60, the detection data from the production amount sensor 61, and the above-mentioned correlation data. The crusher controller may store the estimated carbon dioxide absorption amount, or may transmit the estimated carbon dioxide absorption amount to the management server 8.

[0051] Next, the processing flow of the controller 51 will be described with reference to Fig. 5. As shown in Fig. 5, the acquisition unit 52A acquires processing data when rocks are processed by the wheel loader 2 (21, 22) and the crusher 20 (step S1). The acquisition unit 52A stores the processing data acquired in step S1 in the history data storage unit 53A (step S2). The acquisition unit 52A transmits the processing data acquired in step S1 to the management server 8 (step S3). The management server 8 stores the processing data transmitted from the work machine 2. The processing data includes the amount of carbon dioxide absorption by the rock particles scattered at the work site 3.

[0052] [effect] As described above, according to the embodiment, the processor 52 acquires processing data when the wheel loader 2 and the crusher 20 process rocks that absorb carbon dioxide, and stores the acquired processing data in the history data storage unit 53A of the storage device 53. Because the history of rock processing by the wheel loader 2 and the crusher 20 is recorded as processing data, workers involved in work at the work site 3 can recognize how the rocks were processed. Because workers can recognize how the rocks were processed, they can know the degree of contribution of work at the work site 3 to preventing global warming. Furthermore, for example, when requesting certification of the degree of contribution to preventing global warming from a certification body, the processing data, such as the location and date and time of spreading of the granules, recorded in the storage device 53 or the management server 8 can be evidence necessary for certification. Furthermore, because the processing data is stored in the management server 8, workers can use various applications to recognize the expected amount of carbon dioxide absorption at each work site 3.

[0053] [Other embodiments] In the above-described embodiment, rocks are primarily crushed by the wheel loader 21, the rock granules generated by the primary crushing are secondarily crushed by the crusher 20, and the granules generated by the secondary crushing are scattered at the work site 3 by the wheel loader 22. Rocks may also be primarily crushed by a shovel having a crushing mechanism, the rock granules generated by the primary crushing are secondarily crushed by the crusher 20, and the granules generated by the secondary crushing are scattered at the work site 3 by the wheel loader 22. Furthermore, a plurality of crushers 20 may be arranged at the work site 3. After rocks are loaded into the first crusher 20 by a shovel or wheel loader 22, the rocks are subjected to primary crushing by the first crusher 20, the rock particles discharged from the first crusher 20 are transported via a belt conveyor to the second crusher 20, the rock particles are subjected to secondary crushing by the second crusher 20, and the particles produced by the secondary crushing may be scattered over the work site 3 by the wheel loader 22.

[0054] In the above-described embodiment, the work machine 2 is remotely controlled by the remote control device 6. An operator may board the work machine 2 and operate an operation device arranged on the work machine 2 to operate the work machine 2. The work machine 2 may also be an autonomous work machine that operates autonomously without being operated by an operator. [Explanation of symbols]

[0055] 1...Management system, 2...Wheel loader (work machine), 3...Work site, 4...Remote control room, 5...Information terminal, 6...Remote control device, 7...Communication system, 8...Management server (information processing device), 9...Vehicle body, 10...Traveling device, 11...Work machine, 12...Wheel, 13...Boom, 14...Bucket, 20...Crusher (work machine), 21...Wheel loader, 22...Wheel loader, 50...Control system, 51...Controller (information processing device), 52...Processor, 52A...Acquisition unit, 52B...Timer unit, 52C...Processing unit, 53...Storage device, 53A...History data storage unit, 54...Input / output interface, 55...Communication interface, 60...Particle size sensor, 61...Production amount sensor, 71...Particle size sensor, 72...Weight sensor, 73...Travel sensor, 74...Position sensor, 75...Camera

Claims

1. a processor; The processor: Obtaining processing data when a work machine processes rocks that absorb carbon dioxide; storing the processed data in a storage device; Information processing device.

2. processing the rock includes crushing the rock; The processing data includes a particle size of the granules produced by the crushing. The information processing device according to claim 1 .

3. the work machine has a particle size sensor that detects the particle size, The processor: acquiring the particle size from the particle size sensor; The information processing device according to claim 2 .

4. processing the rock includes crushing the rock; The processing data includes the amount of granules produced by the crushing. The information processing device according to claim 1 .

5. the work machine has a production amount sensor that detects the production amount, The processor: acquiring the production amount from the production amount sensor; The information processing device according to claim 4 .

6. treating the rock includes scattering granules generated from the rock; The processing data includes a particle size of the granules. The information processing device according to claim 1 .

7. the work machine has a particle size sensor that detects the particle size, The processor: acquiring the particle size from the particle size sensor; The information processing device according to claim 6 .

8. treating the rock includes scattering granules generated from the rock; The processing data includes the amount of the granules to be dispersed. The information processing device according to claim 1 .

9. The work machine has a spray amount sensor that detects the spray amount, The processor: Acquiring the spray amount from the spray amount sensor. The information processing device according to claim 8 .

10. treating the rock includes scattering granules generated from the rock; The processing data includes the distribution position of the particles. The information processing device according to claim 1 .

11. The work machine has a position sensor that detects the spraying position, The processor: acquiring the spraying position from the position sensor; The information processing device according to claim 10.

12. treating the rock includes scattering granules generated from the rock; The processing data includes the time of scattering of the granules. The information processing device according to claim 1 .

13. treating the rock includes scattering granules generated from the rock; The processing data includes the date and time of scattering of the granules. The information processing device according to claim 1 .

14. treating the rock includes scattering granules generated from the rock; The processing data includes image data showing a state in which the particles are being scattered. The information processing device according to claim 1 .

15. The processor: Estimating the amount of carbon dioxide absorption based on the processed data and the physical properties of the rock. The information processing device according to claim 1 .

16. Obtaining processing data when the work machine processes rock that absorbs carbon dioxide; storing the processed data in a storage device. Information processing methods.

17. a processor; The processor: Transmitting processing data when the work machine processes rocks that absorb carbon dioxide; Work machinery.

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