Information processing device, information processing method, and information processing program

Abstract

The objective is to provide an information processing device, an information processing method, and an information processing program that can propose tires specifically designed for mining vehicles used to transport mining resources. [Solution] The acquisition unit 30 acquires vehicle information from the data storage unit 28, the reception unit 32 receives the required performance of the tires for the mining vehicle 50, the front tire selection unit 34 selects a tire suitable for the front of the mining vehicle based on the acquired vehicle information and the received required performance of the front tires, the rear tire selection unit 36 ​​selects a tire suitable for the rear of the mining vehicle based on the acquired vehicle information and the received required performance of the rear tires, and the proposal unit 38 proposes, for both the front and rear, the tires that can maximize the required performance while minimizing the tire replacement timing for the entire vehicle from among the selected tires.

Description

Technical Field

[0001] The present disclosure relates to an information processing apparatus, an information processing method, and an information processing program.

Background Art

[0002] Patent Document 1 proposes a tire proposal system that proposes tires to a user for a vehicle. The tire proposal system includes a processing unit that proposes an appropriate tire, which is a tire suitable for the vehicle, based on the driving distance and driving time of each trip of the vehicle.

[0003] Patent Document 2 proposes a tire recommendation system in which a vehicle terminal and a tire recommendation server are connected via a communication network. The vehicle terminal receives data indicating the status of the tire from a sensor attached to the tire mounted on the vehicle, and transmits the received data to the tire recommendation server via the communication network. The tire recommendation server receives the data indicating the status of the tire, determines whether the status is suitable for the usage conditions of the currently used tire, and if not suitable, extracts a suitable tire from a database and outputs it as a recommended tire.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0005] Patent Document 1 can propose tires for passenger cars, and Patent Document 2 can propose tires for trucks and buses. However, since the required performance of tires specific to vehicles for transporting mining resources differs by axle, there is room for improvement in order to propose tires for mining vehicles.

[0006] This disclosure aims to provide an information processing device, an information processing method, and an information processing program that can propose tires specific to mining vehicles used for transporting mining resources. [Means for solving the problem]

[0007] To achieve the above objective, the information processing device according to the first embodiment includes: an acquisition unit for acquiring vehicle information of a vehicle that transports mining resources; a reception unit for receiving the required performance of the front and rear tires of the vehicle; and a selection unit for selecting tires suitable for the front and rear tires of the vehicle, respectively, based on the vehicle information and the required performance.

[0008] In the information processing device according to the second embodiment, the selection unit in the information processing device according to the first embodiment selects tires suitable for the front and rear tires of the vehicle, respectively, using a function that reduces the difference between an estimated performance value estimated from a predetermined relationship between the vehicle information and the required performance and the required performance.

[0009] The information processing device according to the third embodiment further includes a suggestion unit that, in the information processing device according to the first or second embodiment, suggests tires for the front and rear that maximize the required performance while minimizing the tire replacement timing for the entire vehicle, from among the tires selected by the selection unit.

[0010] The information processing device according to the fourth embodiment further includes a product selection unit that selects a tire having the minimum pattern necessary for performance as a product suitable for the tire proposed by the proposal unit, in addition to the information processing device according to the third embodiment.

[0011] The information processing device according to the fifth embodiment is an information processing device according to any one of the first to fourth embodiments, in which the selection unit selects tires of a vehicle that perform operations similar to those performed by the vehicle.

[0012] The information processing method according to the sixth embodiment involves a computer acquiring vehicle information of a vehicle transporting mining resources, receiving the required performance of the front and rear tires of the vehicle, and performing a process to select tires suitable for the front and rear tires of the vehicle based on the vehicle information and the required performance.

[0013] The information processing program according to the seventh embodiment causes a computer to acquire vehicle information of a vehicle that transports mining resources, accept the required performance of the front and rear tires of the vehicle, and execute a process to select tires suitable for the front and rear tires of the vehicle based on the vehicle information and the required performance. [Effects of the Invention]

[0014] This disclosure has the effect of providing an information processing device, an information processing method, and an information processing program that can propose tires specific to mining vehicles used for transporting mining resources. [Brief explanation of the drawing]

[0015] [Figure 1] This figure shows the overall configuration including the information processing device and mining vehicle according to this embodiment. [Figure 2] This is a block diagram showing the hardware configuration of the information processing device according to this embodiment. [Figure 3] The functional configuration of the information processing device according to this embodiment will be described. [Figure 4] This diagram shows an example of the relationship between vehicle information and required performance. [Figure 5] This flowchart shows an example of the processing flow performed in the in-vehicle device of the information processing system according to this embodiment. [Figure 6] This flowchart shows an example of the processing flow performed when vehicle information is transmitted from an in-vehicle device in the information processing device of the information processing system according to this embodiment. [Figure 7]It is a flowchart showing an example of the process flow for proposing and providing tires performed by the information processing apparatus of the information processing system according to this embodiment.

Embodiment for Carrying out the Invention

[0016] Hereinafter, an example of an embodiment of the disclosed technology will be described while referring to the drawings. In each of the drawings, the same or equivalent components and parts are given the same reference numerals. Also, the dimensional ratios in the drawings may be exaggerated for the convenience of explanation and may be different from the actual ratios.

[0017] The information processing apparatus 10 according to this embodiment acquires vehicle information of a vehicle that transports mining resources, receives the required performance of the front and rear tires in the vehicle, and performs a process of proposing tires suitable for each of the front and rear based on the vehicle information and the required performance. In the following description, a vehicle that transports mining resources may be referred to as a mining vehicle.

[0018] First, the overall configuration of the information processing apparatus 10 and peripheral devices will be described. FIG. 1 is a diagram showing the overall configuration including the information processing apparatus 10 and the mining vehicle 50 according to this embodiment.

[0019] As shown in FIG. 1, the information processing system 1 of the present embodiment includes an information processing device 10 and a plurality of mining vehicles 50. Each mining vehicle 50 is equipped with an on-vehicle device 25, various sensors for acquiring tire information of the tires, and various sensors for detecting vehicle information representing various driving states of the mining vehicle 50. The various sensors may include a plurality of TPMS (Tire Pressure Monitoring System) 20 for detecting tire information of the tires, various sensors for detecting various vehicle information representing the driving state of the mining vehicle 50, and the like. The information processing device 10 according to the present embodiment is wirelessly communicably connected to the on-vehicle device 25 of each mining vehicle 50. Further, the on-vehicle device 25 of the mining vehicle 50 is communicably connected to various sensors mounted on the mining vehicle 50. In this way, the information processing device 10 receives tire information regarding the tires of the mining vehicle 50 during travel and vehicle information of the mining vehicle 50.

[0020] FIG. 2 is a block diagram showing the hardware configuration of the information processing device 10 according to the present embodiment.

[0021] As shown in FIG. 2, the information processing device 10 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a storage 14, an input / output I / F (Inter Face) 15, and a communication I / F 16. Each component is communicably connected to each other via a bus 17. As the information processing device 10, for example, a personal computer may be applied, or a mobile terminal such as a smartphone or a tablet may be applied.

[0022] The CPU 11 is a central processing unit that executes various programs and controls each component. That is, the CPU 11 reads a program from the ROM 12 and executes the program using the RAM 13 as a work area. The CPU 11 performs control of each of the above components and various arithmetic processes according to the program stored in the ROM 12. Further, the CPU 11 functions as each functional unit shown in FIG. 3.

[0023] The storage device, comprised of ROM12, stores various programs, including the operating system, and various data. ROM12 also stores an information processing program for executing the tire proposal process described later.

[0024] The memory configured by RAM13 temporarily stores programs and data as a working area.

[0025] The storage device 14 consists of HDDs (Hard Disk Drives) and SSDs (Solid State Drives), and stores various types of data. The storage device 14 does not necessarily have to be built into the information processing device 10; for example, it could be a portable storage device that can be attached to or detached from the information processing device 10, or an external cloud server could be used as the storage device.

[0026] The input / output interface 15 is an interface for communicating with input and output devices located outside the information processing device 10. The input devices include pointing devices such as a mouse and a keyboard, and are used for various types of input. The output devices include, for example, a liquid crystal display or an organic EL (Electro-Luminescence) display, and are devices for outputting various types of information. The output devices may also function as input devices by employing a touch panel system. The output devices may also be equipped with speakers or other means of audio output. For example, if the information processing device 10 is installed in a mining vehicle 50, the output devices are used as monitors inside the vehicle. Also, if the information processing device 10 is installed in an operation control room, the output devices are used as monitors inside the operation control room.

[0027] The communication interface 16 is an interface for communicating with other devices outside the information processing device 10. For this communication, a wired communication standard such as Ethernet® or FDDI, or a wireless communication standard such as 4G, 5G, or Wi-Fi® may be used. For example, if the information processing device 10 is installed in the operation control room, the information processing device 10 communicates data with each mining vehicle 50 via a wireless line, which is an example of a communication line connected to the communication interface 16. Alternatively, if the information processing device 10 is installed in a mining vehicle 50, the information processing device 10 may communicate data with a server (not shown) installed in the operation control room via a wireless line connected to the communication interface 16, and display the internal pressure and temperature status of each tire on a monitor installed in the operation control room.

[0028] Furthermore, the communication I / F 16 communicates wirelessly with the on-board unit 25 of the mining vehicle 50. The on-board unit 25 is installed in the mining vehicle 50 and communicates with the TPMS 20 of each tire of the mining vehicle 50. The on-board unit 25 installed in each mining vehicle 50 includes a vehicle information detection unit 26 which includes various sensors for detecting vehicle information. For example, examples of various sensors may include a GPS (Global Positioning System) sensor, an acceleration sensor, a vehicle speed sensor, a load sensor, a wheel speed sensor, etc. The GPS sensor acquires the position information of the mining vehicle 50, the acceleration sensor detects the acceleration applied to the mining vehicle 50, the vehicle speed sensor detects the vehicle speed of the mining vehicle 50, the load sensor detects the load of the mining vehicle 50, and the wheel speed sensor detects the wheel speed of the mining vehicle 50. These are then transmitted from the on-board unit 25 to the communication I / F 16 of the information processing device 10. Furthermore, the TPMS 20 provided on each tire of the mining vehicle 50 includes a transmitter 23, a temperature sensor 21, and a pressure sensor 22, as shown in Figure 2, but it may also include the transmitter 23 and at least one of the temperature sensor 21 and the pressure sensor 22. The transmitter 23 communicates with the on-board unit 25 of the mining vehicle 50. Specifically, the transmitter 23 transmits the temperature and pressure of the tires of the mining vehicle 50, or it may transmit either one. In addition, the measurements by the temperature sensor 21 and the pressure sensor 22 are performed continuously or at a preset sampling interval. The vehicle information detected by the vehicle information detection unit 26 also includes the temperature and pressure of the tires detected by the TPMS 20. The on-board unit 25 may also acquire vehicle information such as yaw rate from various sensors mounted on the mining vehicle 50 as vehicle information for the mining vehicle 50, in addition to the vehicle information described above, and transmit it to the information processing device 10. Furthermore, in addition to detecting the load amount by the load amount sensor, the load amount may also be detected based on the pressure change detected by the pressure sensor 22.

[0029] Referring to Figure 3, the functional configuration of the information processing device 10 according to this embodiment will be described. As shown in Figure 3, the information processing device 10 of this embodiment includes the functions of a data storage unit 28, an acquisition unit 30, a reception unit 32, a front tire selection unit 34, a rear tire selection unit 36, a proposal unit 38, a review unit 40, and a product selection unit 42. The CPU 11 executes the processing program stored in the ROM 12 to perform each function. Note that the front tire selection unit 34 and the rear tire selection unit 36 ​​correspond to the selection unit.

[0030] The data storage unit 28 stores vehicle information received from the on-board equipment 25 of the mining vehicle 50 as a database. For example, it stores vehicle information such as the driving position, vehicle speed, acceleration, load capacity, tire pressure, and wheel speed of the mining vehicle 50, which are detected by various sensors, as a database.

[0031] The acquisition unit 30 acquires vehicle information from the data storage unit 28. For example, it acquires vehicle information such as the driving position, vehicle speed, acceleration, load capacity, tire pressure, and wheel speed of the mining vehicle 50, which is stored as a database.

[0032] The reception unit 32 receives the performance requirements for the tires of the mining vehicle 50. The performance requirements are received for both the front and rear tires. Examples of performance requirements received by the reception unit 32 include wear resistance, uneven wear, durability, and traction. The performance requirements are basically set by default based on the characteristics of each mine and customer needs, and may be manually changed through communication with the customer. Alternatively, the performance requirements may be predetermined according to the region or location, and the system may retrieve the predetermined performance requirements according to the region or location.

[0033] The front tire selection unit 34 selects a tire suitable for the mining vehicle 50's front tires based on the acquired vehicle information and the accepted front tire performance requirements. For example, it selects the optimal tire based on the relationship between the vehicle information and each required performance requirement. In addition, the tire replacement period is also displayed, so the replacement frequency can be determined at the same time.

[0034] The rear tire selection unit 36 ​​selects a tire suitable for the rear of the mining vehicle 50 based on the acquired vehicle information and the accepted rear tire performance requirements. For example, similar to the front tires, the optimal tire is selected based on the relationship between the vehicle information and each required performance requirement. In addition, the tire replacement period is also displayed, so the replacement frequency can be determined at the same time.

[0035] Proposal Section 38 proposes, for both the front and rear tires, the tires that can maximize the required performance while minimizing the overall tire replacement timing for the vehicle.

[0036] The re-evaluation unit 40, if the difference from the required performance is greater than or equal to a predetermined threshold, performs grooving to minimize the difference from the required performance and performs performance tuning for both the front and rear.

[0037] The product selection unit 42 selects a product suitable for the proposed tire. For example, as a product suitable for the proposed tire, it selects a tire with the minimum pattern required for performance. By using the minimum pattern, it is possible to make final pattern adjustments on-site by adding grooves through grooving, etc. This makes it possible to maximize the effect of the optimal tire.

[0038] Here, we will specifically explain the tire selection and proposal process by the front tire selection unit 34, the rear tire selection unit 36, the proposal unit 38, and the re-examination unit 40. Figure 4 is a map showing an example of the relationship between vehicle information and required performance.

[0039] As shown in Figure 4, a map is pre-generated for each factor as an example of a predetermined relationship between vehicle information and required performance. Maps are generated for both the front and rear. In the example in Figure 4, maps are pre-generated and stored in a database, such as a map where performance A can be estimated from vehicle information a, a map where performance A can be estimated from vehicle information b, a map where performance A can be estimated from vehicle information c, etc., a map where performance B can be estimated from vehicle information a, a map where performance B can be estimated from vehicle information b, etc. Examples of performance A, B, etc. include wear resistance, uneven wear, traction, etc. Examples of vehicle information a, b, etc. include vehicle speed, load capacity, internal pressure, etc. In this embodiment, maps are used as an example of a predetermined relationship between vehicle information and required performance, but the embodiment is not limited to maps.

[0040] 1. First, select the recommended tires from the map shown in Figure 4. For example, for both the front and rear tires, select the recommended tires as follows using a function that minimizes the difference between the required performance and the performance estimates derived from the map. Note that f and g below represent functions that minimize the difference from the required performance. Recommended front tire = f[(Required performance A - Estimated performance A - a), (Required performance B - Estimated performance Ab), ..., (Required performance B - Estimated performance Ba), ...)] Recommended rear tire = g[(Required performance A - Estimated performance Aa), (Required performance A - Estimated performance Ab), ..., (Required performance B - Estimated performance Ba), ...)]

[0041] 2. Select a proposed tire that minimizes the number of tire replacements expected with the recommended tires. Note that F below represents the function that minimizes the number of replacements. Recommended tires = F (Recommended number of front tires to replace + Recommended number of rear tires to replace) Note that replacing only the front tires or only the rear tires each counts as one replacement, so simultaneous replacement is preferable to minimize the number of replacements. Basically, the number of replacements is calculated with the above goal in mind, and steps 1 and 2 are repeatedly calculated to minimize it until convergence results in the proposed tire. After that, a product that matches the proposed tire is selected.

[0042] Unlike passenger cars and trucks that travel freely on public roads, mining vehicles 50 have predetermined routes, so if data is available from one sampled vehicle, the same proposal can be made to other mining vehicles 50 performing similar operations.

[0043] Next, we will describe the specific processes performed in the information processing system 1 according to this embodiment, which is configured as described above.

[0044] First, the processing performed by the on-board unit 25 mounted on the mining vehicle 50 will be described. Figure 5 is a flowchart showing an example of the processing flow performed by the on-board unit 25 of the information processing system 1 according to this embodiment. Note that the processing in Figure 5 starts when the power supply (not shown) of the on-board unit 25 is turned on.

[0045] In step 100, the vehicle information detection unit 26 detects vehicle information and proceeds to step 102. Specifically, various sensors detect vehicle information such as the mining vehicle 50's position, speed, acceleration, load, tire pressure, and wheel speed.

[0046] In step 102, the in-vehicle device 25 transmits vehicle information to the information processing device 10, and the process moves to step 104.

[0047] In step 104, the on-board unit 25 determines whether or not the journey has ended. This determination is made by determining, for example, whether or not the power to the on-board unit 25 has been turned off, such as by turning off the ignition switch of the mining vehicle 50. If the determination is negative, the process returns to step 100 and the above process is repeated until the determination is positive, at which point the series of processes ends. The process of detecting and transmitting vehicle information may be performed continuously or at a predetermined sampling interval.

[0048] Next, we will describe the processing performed in the information processing device 10 when vehicle information is transmitted from the in-vehicle unit 25. Figure 6 is a flowchart showing an example of the processing flow performed in the information processing device 10 of the information processing system 1 according to this embodiment when vehicle information is transmitted from the in-vehicle unit 25.

[0049] In step 150, the CPU 11 receives vehicle information transmitted from the in-vehicle device 25 and proceeds to step 152.

[0050] In step 152, the CPU 11 saves the vehicle information and terminates the series of processes. That is, it saves the vehicle information transmitted from the in-vehicle device 25 as a database in the storage 14.

[0051] Next, the process by which the information processing device 10 suggests tires using the stored vehicle information will be described. Figure 7 is a flowchart showing an example of the flow of the process for suggesting and providing tires performed by the information processing device 10 of the information processing system 1 according to this embodiment. Note that the process in Figure 7 may be started, for example, when the vehicle information transmitted and stored from the in-vehicle device 25 reaches a predetermined amount of data. Alternatively, it may be started at predetermined time intervals. Alternatively, it may be started when the user issues an instruction requesting tires.

[0052] In step 200, CPU 11 displays the performance request acceptance screen and proceeds to step 202.

[0053] In step 202, the CPU 11 determines whether or not the requested performance has been received. This determination is made, for example, by determining whether the receiving unit 32 has received the requested performance (e.g., wear resistance, uneven wear, durability, traction, etc.) for the front and rear tires of the mining vehicle 50 and whether or not the user has completed the operation to input the requested performance. The system waits until this determination is affirmative and then proceeds to step 204.

[0054] In step 204, the CPU 11 acquires vehicle information and proceeds to step 206. Specifically, the acquisition unit 30 acquires vehicle information from the data storage unit 28. For example, it acquires vehicle information such as the driving position, vehicle speed, acceleration, load capacity, tire pressure, and wheel speed of the mining vehicle 50, which is stored in the database.

[0055] In step 206, the CPU 11 selects recommended tires based on the relationship between vehicle information and required performance, and then proceeds to step 208. Specifically, the front tire selection unit 34 and the rear tire selection unit 36 ​​each select tires suitable for the front and rear tires of the mining vehicle 50, respectively, based on the required performance of the tires received. For example, the optimal tires are selected based on the relationship between vehicle information and each required performance. In addition, the tire replacement period is also displayed, so the replacement frequency can be determined at the same time.

[0056] In step 208, the CPU 11 selects the proposed tires and proceeds to step 210. Specifically, the proposal unit 38 proposes tires for both the front and rear that minimize the timing of tire changes for the entire vehicle while maximizing the required performance.

[0057] In step 210, the CPU 11 determines whether the difference from the required performance is greater than or equal to a predetermined threshold. That is, the reassessment unit 40 determines whether the difference from the required performance is greater than or equal to a predetermined threshold. If the determination is affirmative, the process returns to step 206 and the above processing is repeated; if the determination is negative, the process proceeds to step 212.

[0058] In step 212, the CPU 11 displays the optimal tire and completes the series of processes. That is, the product selection unit 42 selects and displays a product suitable for the proposed tire. For example, it selects a tire with the minimum pattern required for performance and displays the selected tire. By using the minimum pattern, it is possible to make final pattern adjustments on-site by adding grooves through grooving, etc. This makes it possible to maximize the effect of the optimal tire.

[0059] In the above embodiment, an example was described in which the information processing device 10 has the functions shown in Figure 3, but it is not limited to this. For example, in a server network system equipped with a server, the server may have the functions shown in Figure 3, or the server may have some of the functions, such as the data storage unit 28.

[0060] Furthermore, the technical scope of this disclosure is not limited to the embodiments described above. Various modifications or improvements can be made to the embodiments without departing from the spirit, and such modified or improved forms are also included within the technical scope of this disclosure.

[0061] Furthermore, in the above embodiment, the processing performed by the information processing device 10 may be implemented by a software configuration, or each process may be implemented by a hardware configuration. Alternatively, it may be implemented by combining a software configuration and a hardware configuration. [Explanation of Symbols]

[0062] 1 Information processing system, 10 Information processing device, 11 CPU, 12 ROM, 13 RAM, 14 Storage, 15 Input / Output I / F, 16 Communication I / F, 20 TPMS, 21 Temperature sensor, 22 Pressure sensor, 23 Transmitter, 25 In-vehicle device, 26 Vehicle information detection unit, 28 Data storage unit, 30 Acquisition unit, 32 Reception unit, 34 Front tire selection unit, 36 Rear tire selection unit, 38 Proposal unit, 40 Reconsideration unit, 42 Product selection unit

Claims

1. An acquisition unit that acquires vehicle information of vehicles transporting mining resources, A receiving unit that receives the required performance specifications for the front and rear tires of the aforementioned vehicle, A selection unit that selects tires suitable for the front and rear tires of the vehicle based on the vehicle information and the required performance, Information processing device including

2. The information processing device according to claim 1, wherein the selection unit selects tires suitable for the front tires and rear tires of the vehicle, respectively, using a function that reduces the difference between an estimated performance value estimated from a predetermined relationship between the vehicle information and the required performance and the required performance.

3. The information processing device according to claim 1, further comprising a suggestion unit that proposes tires for the front and rear of the vehicle, respectively, that maximize the required performance while minimizing the tire replacement timing for the entire vehicle, from among the tires selected by the selection unit.

4. The information processing device according to claim 3, further comprising a product selection unit that selects a tire having the minimum pattern necessary for performance as a product suitable for the tire proposed by the proposal unit.

5. The information processing apparatus according to claim 1, wherein the selection unit selects the tires of a vehicle that performs an operation similar to the operation performed by the vehicle.

6. Computers Obtain vehicle information of vehicles transporting mining resources. The required performance of the front and rear tires of the aforementioned vehicle is accepted. An information processing method that performs a process of selecting tires suitable for the front tires and rear tires of the vehicle, respectively, based on the vehicle information and the required performance.

7. On the computer, Obtain vehicle information of vehicles transporting mining resources. The required performance of the front and rear tires of the aforementioned vehicle is accepted. An information processing program for performing a process to select tires suitable for the front and rear tires of a vehicle, based on the vehicle information and the required performance.

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