JP2021043148A - Wheel diameter prediction program, wheel diameter prediction method, and wheel diameter prediction system - Google Patents

Abstract

To provide a wheel diameter prediction program, a wheel diameter prediction method and a wheel diameter prediction system with which it is made possible to satisfy the safety standards of vehicles.SOLUTION: A wheel diameter prediction program includes: referring to a storage unit that stores the travel route of a vehicle in a prescribed period and the wear characteristics of a plurality of wheels attached to the vehicle and calculating the wear amount of each of the plurality of wheels when each of travel routes corresponding to the vehicle is traveled; referring to the storage unit that stores the current wheel diameters corresponding to the plurality of wheels and calculating each of future wheel diameters corresponding to the plurality of wheels on the basis of the wear amount for each of the plurality of wheels and the current wheel diameters when each of travel routes corresponding to the vehicle is traveled; and, when a future wheel diameter corresponding to at least one of the plurality of wheels does not satisfy a prescribed condition, outputting information that indicates the vehicle to which the at least one wheel is attached.SELECTED DRAWING: Figure 23

Description

The present invention relates to a wheel diameter prediction program, a wheel diameter prediction method, and a wheel diameter prediction system.

For example, a person in charge of inspecting a railroad vehicle (hereinafter, also simply referred to as a vehicle) or exchanging parts (hereinafter, also referred to as a work person in charge) inspects each vehicle at a necessary timing. Specifically, the worker performs, for example, an inspection of the functions of all vehicles every few months, and a detailed inspection of each part used in all vehicles every few years.

Then, during the implementation of various inspections as described above, when the presence of a part whose replacement timing comes before the next inspection time is detected, the person in charge of the work also replaces the detected part. This enables the worker to meet the safety standards of each vehicle while driving (see, for example, Patent Documents 1 and 2).

Japanese Unexamined Patent Publication No. 2006-118901 Japanese Unexamined Patent Publication No. 2006-327368

Here, each part to be inspected as described above includes a part whose replacement timing is difficult to predict. Specifically, for example, the amount of wear of the wheels attached to each vehicle varies greatly depending on the traveling place and the traveling distance of each vehicle. Therefore, the person in charge of work may not be able to accurately predict the replacement timing of each wheel during the inspection, and may not be able to appropriately determine whether or not to replace each wheel. ..

Therefore, even wheels that are judged to be unnecessary to be replaced at the time of inspection may need to be replaced before the next inspection time, and the safety standards of each vehicle while driving may not be met. There is sex.

Therefore, in one aspect, it is an object of the present invention to provide a wheel diameter prediction program, a wheel diameter prediction method, and a wheel diameter prediction system capable of satisfying a vehicle safety standard.

In one aspect of the embodiment, the travel route corresponding to the vehicle is set by referring to a storage unit that stores the travel route of the vehicle in a predetermined period and the wear characteristics of the plurality of wheels attached to the vehicle. The amount of wear of the plurality of wheels when traveling is calculated, and the storage unit that stores the current wheel diameters corresponding to the plurality of wheels is referred to, and the amount of wear of each of the plurality of wheels and the current wheel are used. Based on the diameter, the future wheel diameter corresponding to the plurality of wheels when traveling on the traveling route corresponding to the vehicle is calculated, and the wheel corresponds to at least one of the plurality of wheels. If the future wheel diameter does not meet a predetermined condition, the computer is made to perform a process of outputting information indicating a vehicle to which the at least one wheel is mounted.

According to one aspect, it is possible to accurately predict the wheel replacement timing.

FIG. 1 is a diagram illustrating a configuration of the information processing system 10. FIG. 2 is a diagram illustrating a hardware configuration of the information processing device 1. FIG. 3 is a diagram illustrating a hardware configuration of the vehicle 2. FIG. 4 is a block diagram of the function of the information processing device 1. FIG. 5 is a block diagram of the function of the vehicle 2. FIG. 6 is a flowchart illustrating an outline of the wheel diameter prediction process according to the first embodiment. FIG. 7 is a diagram illustrating an outline of a wheel diameter prediction process according to the first embodiment. FIG. 8 is a diagram illustrating an outline of a wheel diameter prediction process according to the first embodiment. FIG. 9 is a flowchart illustrating the details of the wheel diameter prediction process according to the first embodiment. FIG. 10 is a flowchart illustrating the details of the wheel diameter prediction process according to the first embodiment. FIG. 11 is a flowchart illustrating the details of the wheel diameter prediction process according to the first embodiment. FIG. 12 is a flowchart illustrating the details of the wheel diameter prediction process according to the first embodiment. FIG. 13 is a flowchart illustrating the details of the wheel diameter prediction process according to the first embodiment. FIG. 14 is a flowchart illustrating the details of the wheel diameter prediction process according to the first embodiment. FIG. 15 is a flowchart illustrating the details of the wheel diameter prediction process according to the first embodiment. FIG. 16 is a flowchart illustrating the details of the wheel diameter prediction process according to the first embodiment. FIG. 17 is a diagram illustrating a specific example of the wheel information 131. FIG. 18 is a diagram illustrating a specific example of the traveling information 132. FIG. 19 is a diagram illustrating a specific example of wear information 133. FIG. 20 is a diagram illustrating a specific example of wear information 133. FIG. 21 is a diagram illustrating a specific example of wear information 133. FIG. 22 is a diagram illustrating details of the wheel diameter prediction process according to the first embodiment. FIG. 23 is a diagram illustrating a specific example of the prediction information 134. FIG. 24 is a diagram illustrating details of the wheel diameter prediction process according to the first embodiment. FIG. 25 is a diagram illustrating details of the wheel diameter prediction process according to the first embodiment.

[Information processing system configuration]
First, the configuration of the information processing system 10 will be described. FIG. 1 is a diagram illustrating a configuration of the information processing system 10.

As shown in FIG. 1, the information processing system 10 includes, for example, an information processing device 1, vehicles 2a, 2b and 2c, and operation terminals 3a, 3b and 3c. The information processing device 1 is connected to each of the operation terminals 3a, 3b, and 3c via a network NW such as an Internet network.

In the example shown in FIG. 1, each of the vehicles 2a, 2b and 2c is a vehicle housed in each of the wards A, B and C. Specifically, each of the vehicles 2a, 2b and 2c is, for example, a freight vehicle or a passenger vehicle. Further, in the example shown in FIG. 1, each of the operation terminals 3a, 3b, and 3c is a terminal deployed in each of the wards A, B, and C, and is a terminal that can be viewed by the person in charge of work in each ward. .. Hereinafter, the vehicles 2a, 2b and 2c are collectively referred to as a vehicle 2, and the operation terminals 3a, 3b and 3c are also collectively referred to as an operation terminal 3.

Further, in the example shown in FIG. 1, the information processing device 1 determines whether or not each vehicle 2 can travel on or after the next day (satisfying the safety standard) based on, for example, the traveling route of each vehicle 2 on or after the next day. Whether or not it is) is judged.

Specifically, the information processing device 1 provides, for example, information indicating the travel route of each vehicle 2 on or after the next day (hereinafter, also referred to as travel information) and information indicating the wear characteristics of each vehicle 2 attached to each vehicle 2. (Hereinafter, also referred to as wear information), the amount of wear of each wheel when each vehicle 2 travels on its own travel route is calculated.

Then, the information processing device 1 refers to information indicating the current wheel diameter corresponding to each wheel (hereinafter, also referred to as wheel information), and based on the amount of wear for each wheel and the current wheel diameter, each vehicle 2 Calculates the future wheel diameter of each wheel when the vehicle travels on each travel route.

After that, when the future wheel diameter corresponding to at least one wheel does not satisfy the predetermined condition, the information processing device 1 transmits information indicating the vehicle 2 to which the wheel that does not satisfy the predetermined condition is attached to the operation terminal 3. Output.

That is, the information processing device 1 in the present embodiment predicts the amount of wear of each wheel in the period by referring to the travel information of each vehicle 2 in the period in which the travel route is already determined (for example, the next day). To do. Then, when the information processing device 1 detects the existence of a wheel whose wheel diameter is predicted to not satisfy the reference value within that period, the vehicle 2 to which the wheel that has detected the existence is attached cannot travel. Output the information to that effect.

As a result, the information processing device 1 can prompt the vehicle 2 to which the wheels in a state of needing replacement are attached to stop traveling. Therefore, the information processing device 1 can meet the safety standards of each vehicle 2 while traveling.

Further, the information processing device 1 can reduce the inspection items (for example, the inspection items related to the wheel inspection) at the time of performing the inspection of each vehicle 2 by constantly predicting the wear amount of each wheel. .. Therefore, the information processing device 1 can reduce the cost associated with carrying out the inspection of each vehicle 2.

[Hardware configuration of information processing system]
Next, the hardware configuration of the information processing system 10 will be described. FIG. 2 is a diagram illustrating a hardware configuration of the information processing device 1. Further, FIG. 3 is a diagram illustrating a hardware configuration of the vehicle 2.

First, the hardware configuration of the information processing device 1 will be described.

As shown in FIG. 2, the information processing device 1 includes a CPU 101 which is a processor, a memory 102, a communication device 103, and a storage medium 104. The parts are connected to each other via the bus 105.

The storage medium 104 is, for example, a program storage area (not shown) for storing a program 110 for performing a process of predicting a future wheel diameter corresponding to each wheel attached to each vehicle 2 (hereinafter, wheel diameter prediction process). ). Further, the storage medium 104 has, for example, a storage unit 130 (hereinafter, also referred to as an information storage area 130) that stores information used when performing wheel diameter prediction processing. The storage medium 204 may be, for example, an HDD (Hard Disk Drive) or an SSD (Solid State Drive).

The CPU 101 executes the program 110 loaded from the storage medium 104 into the memory 102 to perform the wheel diameter prediction process.

Further, the communication device 103 performs wired communication with, for example, the network NW.

Next, the hardware configuration of the vehicle 2 will be described.

As shown in FIG. 3, the vehicle 2 has a CPU 201 which is a processor, a memory 202, a communication device 203, and a storage medium 204. The parts are connected to each other via the bus 205.

The storage medium 204 has, for example, a program storage area (not shown) for storing the program 210 for performing the wheel diameter prediction process. Further, the storage medium 204 has, for example, a storage unit 230 (hereinafter, also referred to as an information storage area 230) that stores information used when performing wheel diameter prediction processing. The storage medium 204 may be, for example, an HDD or an SSD.

The CPU 201 executes the program 210 loaded from the storage medium 204 into the memory 202 to perform the wheel diameter prediction process.

Further, the communication device 103 wirelessly communicates with the access point 4 by using, for example, WiFi (registered trademark: Wireless Fidelity) or the like. Then, the access point 4 performs wired communication with, for example, the network NW.

[Information processing system functions]
Next, the function of the information processing system 10 will be described. FIG. 4 is a block diagram of the function of the information processing device 1. Further, FIG. 5 is a block diagram of the function of the vehicle 2.

First, a block diagram of the functions of the information processing device 1 will be described.

As shown in FIG. 4, the information processing device 1 includes, for example, the information management unit 111, the wear amount calculation unit 112, and the wear amount calculation unit 112 by organically collaborating with the hardware such as the CPU 101 and the memory 102 and the program 110. Various functions including a wheel diameter calculation unit 113, a condition determination unit 114, an information output unit 115, an information reception unit 116, a location identification unit 117, an information transmission unit 118, and a characteristic calculation unit 119 are realized.

Further, as shown in FIG. 4, the information processing device 1 stores, for example, wheel information 131, traveling information 132, wear information 133, prediction information 134, and location information 135 in the information storage area 130.

The information management unit 111 stores, for example, wheel information 131, traveling information 132, and wear information 133 in the information storage area 130. Specifically, the information management unit 111 stores each information in the information storage area 130 in response to the input of each of the wheel information 131, the traveling information 132, and the wear information 133.

The wheel information 131 is information indicating the current wheel diameter corresponding to each wheel attached to each vehicle 2. Further, the traveling information 132 is information indicating a traveling route of each vehicle 2 in a predetermined period (for example, the next day). Further, the wear information 133 is information indicating the wear characteristics of the plurality of wheels attached to each vehicle 2.

The wear amount calculation unit 112 calculates the wear amount of each wheel when each vehicle 2 travels on the corresponding travel route with reference to the travel information 132 and the wear information 133 stored in the information storage area 130. To do.

The wheel diameter calculation unit 113 refers to the wheel information 131 stored in the information storage area 130, and is based on the wear amount corresponding to each wheel (wear amount calculated by the wear amount calculation unit 112) and the current wheel diameter. Therefore, the future wheel diameter corresponding to each wheel when each vehicle 2 travels on the corresponding traveling route is calculated.

The condition determination unit 114 determines whether or not each of the future wheel diameters calculated by the wheel diameter calculation unit 113 satisfies a predetermined condition. Specifically, the condition determination unit 114 determines whether or not each of the future wheel diameters calculated by the wheel diameter calculation unit 113 exceeds the reference value.

When the condition determination unit 114 determines that the future wheel diameter corresponding to at least one wheel does not satisfy the predetermined condition, the information output unit 115 is equipped with a wheel whose future wheel diameter does not satisfy the predetermined condition. The prediction information 134 indicating the vehicle 2 is output. Specifically, the information output unit 115 outputs the prediction information 134 to the operation terminals 3 deployed in each ward, for example.

The information receiving unit 116 receives the transmission instruction of the location information 135 transmitted from the vehicle 2. The location information 135 is information indicating a location (ward) to which the vehicle 2 that has transmitted the transmission instruction should go. Specifically, the information receiving unit 116 transmits location information 135 indicating a ward or the like where the wheels can be replaced from the vehicle 2 to which the wheels whose current wheel diameters do not satisfy the predetermined conditions are attached during traveling. Receive instructions.

When the information receiving unit 116 receives the transmission instruction of the location information 135, the location identification unit 117 generates the location information 135 corresponding to the vehicle 2 that has transmitted the transmission instruction.

The information transmission unit 118 transmits the location information 135 generated by the location identification unit 117 to the vehicle 2 that has transmitted the transmission instruction received by the information reception unit 116.

The characteristic calculation unit 119 updates the wear information 133 stored in the information storage area 130. Specifically, the characteristic calculation unit 119 provides information when the information receiving unit 116 receives the transmission instruction of the location information 135 (when a wheel whose current wheel diameter does not satisfy a predetermined condition occurs during traveling). The wear information 133 stored in the storage area 130 is updated.

Next, a block diagram of the function of the vehicle 2 will be described.

As shown in FIG. 5, in the vehicle 2, for example, the hardware such as the CPU 201 and the memory 202 and the program 210 organically cooperate with each other to transmit information to the wheel diameter measuring unit 211, the condition determining unit 212, and the program 210. Various functions including the unit 213, the information receiving unit 214, and the information output unit 215 are realized.

Further, for example, as shown in FIG. 5, the vehicle 2 stores the wheel information 131 and the location information 135 in the information storage area 230.

The wheel diameter measuring unit 211 measures the current wheel diameter corresponding to the wheel attached to each vehicle 2.

The condition determination unit 212 determines whether or not each of the current wheel diameters measured by the wheel diameter measurement unit 211 satisfies a predetermined condition. Specifically, the condition determination unit 212 determines whether or not each of the current wheel diameters exceeds the reference value.

When the condition determination unit 212 determines that at least one of the current wheel diameters does not satisfy a predetermined condition, the information transmission unit 213 transmits a transmission instruction of the location information 135 to the information processing device 1.

The information receiving unit 214 receives the location information 135 transmitted from the information processing device 1.

The information output unit 215 outputs the location information 135 received by the information receiving unit 214. Specifically, the information output unit 115 outputs, for example, the received location information 135 to an output device (not shown) that can be confirmed by the driver of the vehicle 2.

[Outline of the first embodiment]
Next, the outline of the first embodiment will be described. FIG. 6 is a flowchart illustrating an outline of the wheel diameter prediction process according to the first embodiment. Further, FIGS. 7 and 8 are diagrams for explaining the outline of the wheel diameter prediction process according to the first embodiment.

As shown in FIG. 6, the information processing device 1 refers to a storage unit 130 that stores the traveling route of each vehicle 2 and the wear characteristics of the wheels attached to each vehicle 2, and each vehicle 2 has its own. The amount of wear of each wheel when traveling on the traveling route is calculated (S11).

Then, the information processing device 1 refers to the storage unit 130 that stores the current wheel diameter corresponding to each wheel, the amount of wear corresponding to each wheel calculated in the process of S11, and the current wheel corresponding to each wheel. Based on the diameter, the future wheel diameter corresponding to each wheel when each vehicle 2 travels on each travel route is calculated (S12).

Specifically, for example, as shown in FIG. 7, the information processing device 1 calculates future wheel diameters corresponding to the wheels attached to the vehicles 2a, 2b, and 2c, respectively.

Subsequently, the information processing device 1 determines whether or not there is a wheel whose future wheel diameter calculated in the process of S12 does not satisfy the predetermined condition (S13).

As a result, when it is determined that there is a wheel whose future wheel diameter does not satisfy the predetermined condition (YES in S14), the information processing device 1 does not satisfy the predetermined condition in the future wheel diameter calculated in the process of S12. Information (prediction information 134) indicating the vehicle 2 to which the wheels are attached is output (S15).

On the other hand, when it is determined that there is no wheel whose future wheel diameter does not satisfy the predetermined condition (NO in S14), the information processing device 1 does not perform the process of S15.

Specifically, for example, as shown in FIG. 8, when the information processing device 1 determines that at least one of the future wheel diameters corresponding to the wheels attached to the vehicle 2b satisfies a predetermined condition, the vehicle 2b Information indicating that the vehicle cannot travel is output to the operation terminal 3b.

As a result, the person in charge of the work in the ward where each vehicle 2 is housed can easily identify the non-travelable vehicle 2 among the housed vehicles 2 by checking the operation terminal 3. Become. Therefore, the information processing device 1 can stop the running of the vehicle 2 to which the wheels in a state requiring replacement are attached. Therefore, the person in charge of work can meet the safety standard of each vehicle 2 while traveling.

[Details of the first embodiment]
Next, the details of the first embodiment will be described. 9 to 16 are flowcharts illustrating the details of the wheel diameter prediction process according to the first embodiment. 17 to 25 are views for explaining the details of the wheel diameter prediction process according to the first embodiment.

[Information storage processing]
First, among the wheel diameter prediction processes, a process in which the information processing device 1 stores various information in the information storage area 130 (hereinafter, also referred to as an information storage process) will be described. 9 to 11 are flowcharts illustrating the information storage process.

As shown in FIG. 9, the information management unit 111 of the information processing device 1 waits until information indicating the current wheel diameter corresponding to each wheel is input (NO in S21).

Specifically, in the information management unit 111, for example, a worker who has measured the wheel diameter of each wheel attached to each vehicle 2 sends information indicating the current wheel diameter of each wheel to the information processing device 1. Wait until you enter it. The person in charge of work may, for example, measure the wheel diameter of each wheel once a day.

Then, when information indicating the current wheel diameter corresponding to each wheel is input (YES in S21), the information management unit 111 stores the information input in the process of S21 as wheel information 131 in the information storage area 130. (S22). Hereinafter, a specific example of the wheel information 131 will be described.

[Specific example of wheel information]
FIG. 17 is a diagram illustrating a specific example of the wheel information 131.

The wheel information 131 shown in FIG. 17 includes a "wheel ID" in which identification information of each wheel is set, a "vehicle ID" in which identification information of each vehicle 2 to which each wheel is attached is set, and each vehicle 2. It has a "ward" as an item in which identification information of each ward is set. Further, the wheel information 131 shown in FIG. 17 includes a "reference value" in which the wheel diameter that each wheel must exceed from the viewpoint of satisfying the safety standard of each vehicle 2 and the current (latest) wheel diameter of each wheel. "Wheel diameter" for which is set, "wheel type" for which identification information for each wheel type is set, and "vehicle weight" for which the weight of each wheel is set are included as items.

Specifically, in the wheel information 131 shown in FIG. 17, "000001001" is set as the "wheel ID", "EF210-100" is set as the "vehicle ID", and "ward office" is set in the information on the first line. "Ward B" is set, "800 (mm)" is stored as the "reference value", "910 (mm)" is set as the "wheel diameter", and "AAA" is set as the "wheel type". It is set, and "50 (kg)" is set as the "wheel weight".

That is, in the information on the first line, the value set in the "wheel diameter" exceeds the value set in the "reference value". Therefore, the wheel information 131 shown in FIG. 17 indicates that the wheel whose "wheel ID" is "000001001" currently satisfies the safety standard.

Further, in the wheel information 131 shown in FIG. 17, "00000102" is set as the "wheel ID" and "EF210-100" is set as the "vehicle ID" in the information on the second line, and the information is set as the "ward office". "Ward B" is set, "800 (mm)" is stored as the "reference value", "740 (mm)" is set as the "wheel diameter", and "AAA" is set as the "wheel type". , "50 (kg)" is set as the "vehicle weight".

That is, in the information on the second line, the value set in the "wheel diameter" is lower than the value set in the "reference value". Therefore, the wheel information 131 shown in FIG. 17 indicates that the wheel whose "wheel ID" is "00000102" does not already meet the safety standard at this time. The description of other information included in FIG. 17 will be omitted.

Returning to FIG. 10, the information management unit 111 waits until the information indicating the traveling route of each vehicle 2 is input (NO in S31).

Specifically, the information management unit 111, for example, allows a person in charge of work who manages the travel route of each vehicle 2 to set a travel route for a period (for example, the next day) including the timing when the travel of each vehicle 2 is performed next. It waits until the indicated information is input to the information processing device 1.

Then, when the information indicating the travel route of each vehicle 2 is input (YES in S31), the information management unit 111 stores the information input in the process of S31 as the travel information 132 in the information storage area 130 (S32). ). Hereinafter, a specific example of the traveling information 132 will be described.

[Specific example of driving information]
FIG. 18 is a diagram illustrating a specific example of the traveling information 132.

In the traveling information 132 shown in FIG. 18, the "vehicle ID" in which the identification information of each vehicle 2 is set, the "scheduled date" in which the scheduled traveling date of each vehicle 2 is set, and the traveling section of each vehicle 2 are set. It has a "section" to be used as an item. Further, the traveling information 132 shown in FIG. 18 is a “total” in which the distance of the section set in the “section” (the sum of the distances between the straight line route and the curved route included in the section set in the “section”) is set. The items include a "distance" and a "weight" in which the weight of each vehicle 2 on the scheduled travel date set in the "scheduled date" (for example, the sum of the weight of the vehicle 2 and the weight of the load capacity) is set. Further, the traveling information 132 shown in FIG. 18 includes "curve information (1)" and "curve information (2)" in which information indicating each of the curved routes included in the section set in the "section" is set. Have as an item. Further, each of the "curve information (1)" and "curve information (2)" is a "direction" in which the curve direction of each curve route is set and a "radius" in which the curve radius of each curve route is set. And, "distance" in which the distance of each curve route is set in the section set in "section", and "gradient" in which the gradient in each curve route is set are included as items.

Specifically, in the traveling information 132 shown in FIG. 18, "EF210-100" is set as the "vehicle ID" and "2019/1/9" is set as the "scheduled date" in the information on the first line. , "AA to BB" is set as the "section", "1000 (km)" is set as the "total distance", and "18 (t)" is stored as the "weight". Further, in the traveling information 132 shown in FIG. 18, "right" is set as the "direction" and "500" is set as the "radius" for the information corresponding to the "curve information (1)" in the information in the first line. (M) ”is set,“ 200 (m) ”is set as the“ distance ”, and“ +1 (degree) ”is set as the“ gradient ”. Further, in the traveling information 132 shown in FIG. 18, "left" is set as the "direction" and "800" is set as the "radius" for the information corresponding to the "curve information (2)" in the information in the first line. (M) "is set," 150 (m) "is set as the" distance ", and" -5 (degrees) "is set as the" gradient ".

In the traveling information 132 shown in FIG. 18, "EF210-200" is set as the "vehicle ID", "2019/1/9" is set as the "scheduled date", and the "section" is set in the information on the second line. "CC to DD" is set as, "600 (km)" is set as the "total distance", and "30 (t)" is stored as the "weight". Further, in the traveling information 132 shown in FIG. 18, "left" is set as the "direction" and "1000" is set as the "radius" for the information corresponding to the "curve information (1)" in the second row of information. (M) "is set," 600 (m) "is set as the" distance ", and" -5 (degrees) "is set as the" gradient ". Further, in the traveling information 132 shown in FIG. 18, "right" is set as the "direction" and "600" is set as the "radius" for the information corresponding to the "curve information (2)" in the second row of information. (M) ”is set,“ 100 (m) ”is set as the“ distance ”, and“ 0 (degree) ”is set as the“ gradient ”. Description of the other information contained in FIG. 18 will be omitted.

As shown in FIG. 11, the information management unit 111 waits until information indicating the wear characteristics of each wheel is input (NO in S41).

Specifically, in the information management unit 111, for example, a worker who calculates the wear characteristics of each wheel attached to each vehicle 2 inputs information indicating the wear characteristics of each wheel to the information processing device 1. Wait until you do.

Then, when information indicating the wear characteristics of each wheel is input (YES in S41), the information management unit 111 stores the information input in the process of S41 as wear information 133 in the information storage area 130 (S42). .. Hereinafter, a specific example of the wear information 133 will be described.

[Specific example of wear information]
19 to 21 are views for explaining a specific example of wear information 133. Specifically, FIG. 19 is a diagram illustrating a specific example of wear information 133a. 20 (A) is a diagram for explaining a specific example of wear information 133b, FIG. 20 (B) is a diagram for explaining a specific example of wear information 133c, and FIG. 21 (A) is a diagram for explaining a specific example of wear information 133c. It is a figure explaining the specific example of the information 133d, and FIG. 21B is the figure explaining the specific example of the wear information 133e.

First, a specific example of wear information 133a will be described. The wear information 133a is information indicating the relationship between the mileage of each vehicle 2 and the amount of wear.

The wear information 133a shown in FIG. 19 includes a "wheel type" in which identification information for each wheel type is set, a "distance" in which the mileage of the vehicle 2 to which each wheel is attached is set, and wear of each wheel. It has an item of "wear amount" in which the amount is set.

Specifically, in the wear information 133a shown in FIG. 19, "AAA" is set as the "wheel type", "1 (km)" is set as the "distance", and "wear amount" is set in the information on the first line. "0.01 (mm)" is set.

That is, in the wear information 133a shown in FIG. 19, when the vehicle 2 equipped with the wheels whose "wheel type" is "AAA" travels on a straight route of 100 (km), the wheel diameter of each wheel is 1 (mm). It shows that it becomes smaller.

Further, in the wear information 133a shown in FIG. 19, "BBB" is set as the "wheel type", "1 (km)" is set as the "mileage", and the "wear amount" is set in the information on the second line. Is set to "0.02 (mm)".

That is, in the wear information 133a shown in FIG. 19, when the vehicle 2 equipped with the wheels whose "wheel type" is "BBB" travels on a straight route of 50 (km), the wheel diameter of each wheel is 1 (mm). It shows that it becomes smaller. Description of the other information contained in FIG. 19 will be omitted.

Next, specific examples of wear information 133b to wear information 133e will be described.

The wear information 133b is information showing the relationship between the weight of each vehicle 2 and the wear coefficient, and the wear information 133c is information showing the relationship between the curve radius of the curved route included in the traveling route of each vehicle 2 and the wear coefficient. Is. Further, the wear information 133d is information indicating the relationship between the distance of the curved route included in the traveling route of each vehicle 2 and the wear coefficient, and the wear information 133e is the gradient of the curved route included in the traveling route of each vehicle 2. This is information showing the relationship between and the wear coefficient. The wear coefficient is a coefficient to be multiplied by the wheel wear amount calculated based on the wear information 133a described with reference to FIG. 19 when calculating the wheel wear amount when each vehicle 2 travels on a curved route. ..

The wear information 133b shown in FIG. 20 (A) includes a "wheel type" in which identification information for each wheel type is set, and the weight of the vehicle 2 to which each wheel is attached (for example, the weight and load capacity of the vehicle 2). It has "weight" in which the sum of the weight and the weight is set and "wear coefficient" in which the wear coefficient of each wheel is set as items.

Specifically, in the wear information 133b shown in FIG. 20 (A), "AAA" is set as the "wheel type" and "0 (t) to 5 (t) as the" weight "in the information on the first line. "Is set, and" 1 "is set as the" wear coefficient ". Further, in the wear information 133b shown in FIG. 20 (A), "AAA" is set as the "wheel type" and "5 (t) to 10 (t)" is set as the "weight" in the information on the second line. It is set and "1.1" is set as the "wear coefficient". The description of other information included in FIG. 20 (A) will be omitted.

Further, in the wear information 133c shown in FIG. 20B, the "wheel type" in which the identification information of each wheel type is set and the curve radius of the curved route included in the traveling route of each vehicle 2 are set. It has "radius" and "wear coefficient" in which the wear coefficient of each wheel is set as items.

Specifically, in the wear information 133c shown in FIG. 20 (B), "AAA" is set as the "wheel type" and "~ 1000 (m)" is set as the "radius" in the information in the first line. , "1" is set as the "wear coefficient". Further, in the wear information 133c shown in FIG. 20 (B), "AAA" is set as the "wheel type" and "800 (m) to 1000 (m)" is set as the "radius" in the information on the second line. It is set and "1.1" is set as the "wear coefficient". The description of other information included in FIG. 20 (B) will be omitted.

Further, in the wear information 133d shown in FIG. 21 (A), the "wheel type" in which the identification information of each wheel type is set and the "distance" in which the distance of the curved route included in the traveling route of each vehicle 2 is set. ", And a" wear coefficient "in which the wear coefficient of each wheel is set is included as an item.

Specifically, in the wear information 133d shown in FIG. 21 (A), "AAA" is set as the "wheel type" and "0 (m) to 300 (m)" as the "radius" in the information in the first line. "Is set, and" 1 "is set as the" wear coefficient ". Further, in the wear information 133d shown in FIG. 21 (A), "AAA" is set as the "wheel type" and "300 (m) to 600 (m)" is set as the "radius" in the information on the second line. It is set and "1.2" is set as the "wear coefficient". The description of other information included in FIG. 21 (A) will be omitted.

Further, the wear information 133e shown in FIG. 21B has a “wheel type” in which identification information for each wheel type is set and a “gradient” in which the slope of the curved route included in the traveling route of each vehicle 2 is set. ", And a" wear coefficient "in which the wear coefficient of each wheel is set is included as an item.

Specifically, in the wear information 133e shown in FIG. 21 (B), "AAA" is set as the "wheel type" and "0 (degrees) to 2 (degrees) as the" gradient "in the information on the first line. "Is set, and" 1 "is set as the" wear coefficient ". Further, in the wear information 133e shown in FIG. 21 (B), "AAA" is set as the "wheel type" and "2 (degrees) to 4 (degrees)" are set as the "radius" in the information on the second line. It is set and "1.1" is set as the "wear coefficient". The description of other information included in FIG. 21 (B) will be omitted.

That is, for example, the "friction coefficient" of the information in which "10 (t) to 15 (t)" is set in the "weight (t)" in the wear information 133b shown in FIG. 20 (A) is "1.2". Is set, and the "friction coefficient" of the information in which "600 (m) to 800 (m)" is set in the "radius (m)" in the wear information 133c shown in FIG. 1.2 ”is set, and“ 0 (m) to 300 (m) ”is set as the“ friction coefficient ”of the information in the wear information 133d shown in FIG. 21 (A). Is set to "1", and the "friction coefficient" of the information in which "0 (degrees) to 2 (degrees)" is set to the "gradient" in the wear information 133e shown in FIG. 21 (B) is set to "1" is set. The product of these values ("1.2", "1.2", "1" and "1") is "1.44". Further, for example, the wear information 133a described with reference to FIG. 19 indicates that the amount of wear when the vehicle 2 travels “500 (m)” is “0.005 (mm)”. The product of "0.005 (mm)" and "1.44" is "0.0072 (mm)".

Therefore, each wear information 133 shown in FIGS. 20 and 21 has, for example, a curved route having a curved radius of 700 (m), a distance of 200 (m), and a gradient of 1 (degree). Indicates that when the vehicle 2 having a weight of 12 (t) travels, the amount of decrease in the wheel diameter of the wheels attached to the vehicle 2 becomes "0.0072 (mm)".

[Driving availability judgment processing]
Next, among the wheel diameter prediction processes, a process of determining whether or not each vehicle 2 can travel (hereinafter, also referred to as a travelability determination process) will be described. FIG. 12 is a flowchart for explaining the travelability determination process.

As shown in FIG. 12, the wear amount calculation unit 112 of the information processing device 1 waits until the wheel diameter prediction timing is reached (NO in S51). The wheel diameter prediction timing may be a regular timing such as once a day. Further, the wheel diameter prediction timing may be, for example, the timing after the information storage processing described with reference to FIGS. 9 to 11 is performed.

Then, when the wheel diameter prediction timing is reached (YES in S51), the wear amount calculation unit 112 sets each vehicle 2 to each travel route based on the travel information 132 and the wear information 133 stored in the information storage area 130. The amount of wear of each wheel when traveling is calculated (S52). Hereinafter, a specific example of the processing of S52 will be described.

[Specific example of processing of S52]
Of the traveling information 132 described with reference to FIG. 18, "18 (t)" is set for the "weight" of the information (information in the first line) in which the "vehicle ID" is "EF210-100". Further, among the traveling information 132 described with reference to FIG. 18, the "weight" of the information (information in the first line) in which the "vehicle ID" is "EF210-100" includes the "curve information (1)". "500 (m)" is set as the "radius", "200 (m)" is set as the "distance", and "+1 (degree)" is set as the "gradient". Further, in the wear information 133a described with reference to FIG. 19, "1 (km)" is set as the "mileage" in the information (information in the first line) in which the "wheel type" is "AAA", and "1 (km)" is set. "0.01 (mm)" is set as the "wear amount". Further, among the wear information 133b described with reference to FIG. 20 (A), the information (4th line) in which the "wheel type" is "AAA" and the "weight" is "15 (t) to 20 (t)". Information) is set to "1.3" as the "wear coefficient". Further, among the wear information 133c described with reference to FIG. 20 (B), the information (4th line) in which the "wheel type" is "AAA" and the "radius" is "400 (m) to 600 (m)". Information) is set to "1.3" as the "wear coefficient". Further, among the wear information 133d described with reference to FIG. 21 (A), the information (first line) in which the "wheel type" is "AAA" and the "distance" is "0 (m) to 300 (m)". Information) is set to "1" as the "wear coefficient". Further, among the wear information 133e described with reference to FIG. 21 (B), the information (first line) in which the "wheel type" is "AAA" and the "gradient" is "0 (degrees) to 2 (degrees)". Information) is set to "1" as the "wear coefficient".

That is, in the wear information 133a described with reference to FIG. 19, the amount of wear of the wheel diameter is "0.002 (mm)" when the wheel whose "wheel type" is "AAA" travels on a straight route at a distance of 200 (m). ) ”. The product of each of the above wear coefficients ("1.3", "1.3", "1" and "1") is "1.69". Therefore, in the wear amount calculation unit 112, for example, the vehicle 2 whose “vehicle ID” is “EF210-100” corresponds to the “curve information (1)” in the first line of the traveling information 132 described with reference to FIG. When traveling on a curved route, the amount of wear of a wheel whose "wheel type" is "AAA" is "0.00338 (mm)", which is the product of "0.002 (mm)" and "1.69". Is calculated.

Then, for example, from the value set in the "total distance" in the first line of the traveling information 132 described with reference to FIG. 18, the "curve information (1)", the "curve information (2)", and the like correspond to the "curve information (2)", respectively. By subtracting the sum of the values set in "distance", the distance of the straight route included in the travel route corresponding to the information in the first line of the travel information 132 described with reference to FIG. 18 is calculated.

As a result, for example, when the distance of the straight route corresponding to the information in the first line of the travel information 132 described with reference to FIG. 18 is "800 (km)", the wear amount calculation unit 112 describes with reference to FIG. With reference to the wear information 133a, the wheel wear when the vehicle 2 having the “vehicle ID” of “EF210-100” travels on the straight route corresponding to the information in the first line of the travel information 132 described with reference to FIG. Calculate "8 (mm)" as the amount.

After that, the wear amount calculation unit 112 determines the wear amount of the wheel corresponding to the straight rail (“8 (mm)” in the above example) and the wear amount of the wheel corresponding to each curved rail (in the above example). For example, by calculating the sum with "0.00338 (mm)"), the vehicle 2 having the "vehicle ID" of "EF210-100" is the first line of the traveling information 132 described with reference to FIG. Calculate the amount of wheel wear when traveling on the travel route corresponding to the information.

That is, it can be determined that the speed of each vehicle 2 under the same conditions is substantially constant, unlike the case of traveling by an automobile or the like. Therefore, the information processing device 1 calculates the amount of wear of the wheels when traveling on each traveling route by using the wear information 133 including the wear coefficient predetermined for each traveling condition.

Returning to FIG. 12, the wheel diameter calculation unit 113 of the information processing device 1 refers to the wheel information 131 stored in the information storage area 130, and is based on the wear amount calculated in the process of S52 and the current wheel diameter. , The future wheel diameter of each wheel when each vehicle 2 travels on each traveling route is calculated (S53).

Specifically, for example, in the wheel information 131 described with reference to FIG. 17, "910 (mm)" is set for the "wheel diameter" of the information in the first line. Therefore, for example, when the amount of wear of the wheel diameter specified in the process of S52 is "8 (mm)", the wheel diameter calculation unit 113 subtracts "8 (mm)" from "910 (mm)". As a result, "902 (mm)" is calculated as the future wheel diameter.

Then, as shown in the underlined portion of the prediction result (wheel information 131a) shown in FIG. 22, the wheel diameter calculation unit 113 sets the calculated future wheel diameter "902 (mm)" to "wheel diameter after traveling". Set to.

Further, for example, in the wheel information 131 described with reference to FIG. 17, "740 (mm)" is set for the "wheel diameter" of the information in the second line. Therefore, for example, when the amount of wear of the wheel diameter specified in the process of S52 is "8 (mm)", the wheel diameter calculation unit 113 subtracts "8 (mm)" from "740 (mm)". As a result, "732 (mm)" is calculated as the future wheel diameter.

Then, as shown in the underlined portion of the prediction result (wheel information 131a) shown in FIG. 22, the wheel diameter calculation unit 113 sets the calculated future wheel diameter "732 (mm)" to "wheel diameter after traveling". Set to.

In the wheel information 131a shown in FIG. 22, the same information (current wheel diameter) as the information set in the "wheel diameter" of the wheel information 131 described with reference to FIG. 17 is set in the "wheel diameter before traveling". Has been done. The description of other information included in FIG. 22 will be omitted.

Returning to FIG. 12, the condition determination unit 114 of the information processing device 1 determines whether or not there is a wheel whose future wheel diameter calculated in the process of S53 does not satisfy the reference value (S54).

Then, the information management unit 111 generates the prediction information 134 based on the determination result of the process of S54 (S55). Hereinafter, a specific example of the prediction information 134 will be described.

[Specific examples of forecast information]
FIG. 23 is a diagram illustrating a specific example of the prediction information 134.

In the prediction information 134 shown in FIG. 23, the "wheel ID" in which the identification information of each wheel is set, the "scheduled date" in which the scheduled travel date of each vehicle 2 is set, and the identification information of each vehicle 2 are set. The item includes a "vehicle" and a "ward" in which identification information of each ward in which each vehicle 2 is housed is set. Further, the prediction information 134 shown in FIG. 23 has "determination result" and "determination reason" as items in which the determination result and the determination reason in the process of S54 are set. The "judgment result" includes "OK" indicating that the future wheel diameter calculated by the processing of S53 satisfies the reference value, or that the future wheel diameter calculated by the processing of S53 does not satisfy the reference value. The indicated "NG" is set.

Specifically, among the wheel information 131 described with reference to FIG. 17, "740 (mm)", which is a value set in the "wheel diameter" of the information in the second line, is a value set in the "reference value". It is below a certain "800 (mm)".

That is, in the wheel information 131 described with reference to FIG. 17, the wheel diameter of the wheel corresponding to the information in the second row (the wheel whose “wheel ID” is “00000102”) does not already meet the safety standard at the present time. Is shown. Therefore, as shown in FIG. 23, the information management unit 111 sets "NG" in the "determination result" in the information in the second line (information in which "00000102" is set in the "wheel ID"), and "determines". Set "Outside the standard value" in "Reason".

Further, among the wheel information 131 described with reference to FIG. 17, "750 (mm)", which is a value set in the "wheel diameter" of the information in the eighth row, is a value set in the "reference value". It is not less than 750 (mm). However, of the wheel information 131a described with reference to FIG. 22, "742 (mm)", which is a value set in the "rear-running wheel diameter" of the information in the eighth row, is a value set in the "reference value". It is below a certain "750 (mm)".

That is, in the wheel information 131 described with reference to FIG. 17, for example, the wheel diameter of the wheel corresponding to the information on the eighth row (the wheel whose “wheel ID” is “00000204”) is safe due to the traveling on the next day. Indicates that the criteria will no longer be met. Therefore, as shown in FIG. 23, the information management unit 111 sets "NG" in the "determination result" in the information on the eighth line (information in which "00000204" is set in the "wheel ID"), and "determines". Set "Reason" to "May be outside the standard value on the day". The description of other information included in FIG. 23 will be omitted.

Returning to FIG. 12, the information output unit 115 of the information processing apparatus 1 outputs at least a part of the information included in the prediction information 134 generated in the process of S55 (S56). Specifically, the information output unit 115 outputs the prediction information 134 to each operation terminal 3, for example.

As a result, the person in charge of the work in the ward where each vehicle 2 is housed can easily identify the non-travelable vehicle 2 among the housed vehicles 2 by checking the operation terminal 3. Become. Therefore, the information processing device 1 can stop the traveling of the non-travelable vehicle 2. Therefore, the person in charge of work can meet the safety standard of each vehicle 2 while traveling.

[Vehicle evacuation process]
Next, among the wheel diameter prediction processes, a process of determining whether or not the running vehicle 2 is to be evacuated to the ward (hereinafter, also referred to as a vehicle evacuation process) will be described. 13 to 16 are flowcharts illustrating the vehicle evacuation process.

As shown in FIG. 13, the wheel diameter measuring unit 211 of the vehicle 2 waits until the wheel diameter measuring timing is reached (NO in S61). The wheel diameter measurement timing may be the timing at which each vehicle 2 is running, for example, a periodic timing such as an interval of 10 minutes.

Then, when the wheel diameter measurement timing is reached (YES in S61), the wheel diameter measuring unit 211 measures the current wheel diameter of each wheel (S62).

Subsequently, the condition determination unit 212 of the vehicle 2 determines whether or not there is a wheel whose wheel diameter measured in the process of S62 does not satisfy the reference value (S63).

As a result, when it is determined that there is a wheel whose wheel diameter measured in the process of S62 does not meet the reference value (YES in S64), the information output unit 215 of the vehicle 2 has a wheel whose wheel diameter does not meet the reference value. Information indicating that the device is to be output is output (S65). Specifically, the information output unit 115 outputs, for example, information indicating that there are wheels that do not satisfy the reference value to an output device (not shown) that can be confirmed by the driver of the vehicle 2.

Subsequently, the information transmission unit 213 of the vehicle 2 transmits a transmission request of the location information 135 indicating the replaceable location (ward) of the wheel determined not to satisfy the reference value in the process of S62 to the information processing device 1. (S66). Specifically, the information transmission unit 213 transmits, for example, a transmission request including the current wheel diameter corresponding to the wheel determined not to satisfy the reference value in the process of S62.

Then, as shown in FIG. 14, the information receiving unit 214 of the vehicle 2 waits until the location information 135 is transmitted from the information processing device 1 (NO in S71).

On the other hand, as shown in FIG. 15, the information receiving unit 116 of the information processing device 1 waits until the transmission instruction of the location information 135 is received from any vehicle 2 (NO in S81).

Then, when the transmission instruction of the location information 135 is received from any of the vehicles 2 (YES in S81), the location identification unit 117 of the information processing device 1 heads for the vehicle 2 that has transmitted the transmission instruction received in the process of S81. The place information 135 indicating the place to be taken is generated (S82). Hereinafter, a specific example of the processing of S82 will be described.

[Specific example of processing of S82]
In the location identification unit 117, for example, a ward where spare wheels that can be replaced with wheels corresponding to the transmission instruction received in the processing of S81 (wheels determined not to satisfy the reference value in the processing of S62) are provided. Determine if it exists.

Then, when it is determined that there is no ward where a spare wheel that can be replaced with the wheel corresponding to the transmission instruction received in the process of S81 is provided, the location identification unit 117 receives, for example, in the process of S81. The location information 135 indicating the ward closest to the current position of the vehicle 2 that has transmitted the transmission instruction is generated.

On the other hand, when it is determined that there is a ward where a spare wheel that can be replaced with the wheel corresponding to the transmission instruction received in the process of S81 is provided, the location identification unit 117 determines, for example, the ward that is determined to exist. At the same place, it is determined whether or not the worker who replaces the wheel corresponding to the transmission instruction received in the process of S81 is in a state where the wheel can be replaced.

As a result, when it is determined that the person in charge of exchanging the wheels corresponding to the transmission instruction received in the process of S81 is not in a state in which the wheel can be replaced, the location specifying unit 117, for example, receives the transmission instruction in the process of S81. Generates location information 135 indicating the ward closest to the current position of the vehicle 2 that transmitted the message and the ward where the wheel corresponding to the transmission instruction received in the process of S81 and the spare wheel that can be replaced are deployed. ..

On the other hand, when it is determined that the worker who replaces the wheel corresponding to the transmission instruction received in the process of S81 is in a state where it can be handled, that is, the replacement of the wheel corresponding to the transmission instruction received in the process of S81 is performed. When it is determined that there is a ward that can be performed, the location identification unit 117 receives, for example, the ward closest to the current position of the vehicle 2 that transmitted the transmission instruction received in the process of S81 and the ward that is received in the process of S81. The location information 135 indicating the ward where the wheel can be exchanged corresponding to the transmitted instruction is generated.

Returning to FIG. 15, the information transmission unit 118 of the information processing device 1 transmits the location information 135 generated in the process of S82 to the vehicle 2 that has transmitted the transmission instruction received in the process of S81 (S83).

Then, when the location information 135 transmitted from the information processing device 1 is received (YES in S71), the information output unit 215 of the vehicle 2 uses the received location information 135 as the driver of the vehicle 2 as shown in FIG. Is output to an output device (not shown) that can be confirmed (S72).

As a result, the driver of the vehicle 2 can take appropriate measures for the replacement of the wheel whose wheel diameter does not meet the safety standard by referring to the information output to the output device.

If it is determined in the processing of S64 that there is no wheel whose wheel diameter measured in the processing of S62 does not satisfy the reference value (NO in S64), the information output unit 215 and the like do not perform the processing after S65.

Returning to FIG. 15, the characteristic calculation unit 119 of the information processing apparatus 1 has the current wheel diameter of the wheel corresponding to the transmission instruction received in the processing of S81 after the processing of S83, and the future calculated in advance by the processing of S53. The difference from the wheel diameter is calculated (S84).

Specifically, "754 (mm)" is set in the "rear-running wheel diameter" of the information on the seventh line (information in which the "vehicle ID" is "EF210-200") in the wheel information 131a described with reference to FIG. It is set. On the other hand, when the current wheel diameter of each wheel included in the transmission instruction received in the process of S81 is "749 (mm)", the characteristic calculation unit 119 corresponds to the transmission instruction received in the process of S81. "5 (mm)" is calculated as the difference between the current wheel diameter of the wheel to be used and the future wheel diameter calculated in advance in the process of S53.

Then, the characteristic calculation unit 119 recalculates the future wheel diameter of the other wheel attached to the same vehicle 2 as the wheel corresponding to the transmission instruction received in the process of S81 based on the difference calculated in the process of S84. (S85).

Specifically, for example, when the difference calculated in the process of S84 is "5 (mm)", the characteristic calculation unit 119, for example, as shown in the underlined portion of FIG. 24, the wheel information 131a described with reference to FIG. "5 (mm)" is subtracted from the value set in the "rear-running wheel diameter" of the information in the 5th to 8th lines (information in which the "vehicle ID" is "EF210-200").

Subsequently, as shown in FIG. 16, the condition determination unit 114 determines whether or not there is a wheel whose future wheel diameter recalculated in the process of S85 does not satisfy the reference value (S91).

Then, the information management unit 111 updates the prediction information 134 based on the determination result of the process of S91 (S92).

Specifically, for example, as shown in the underlined portion of FIG. 25, the information management unit 111 has the information on the seventh line (transmission received in the process of S81) among the information included in the prediction information 134 described with reference to FIG. Update the information set in "Judgment result" of "Wheel information corresponding to the instruction" to "NG", and update the information set in "Judgment reason" to "May be outside the standard value on the day". ..

After that, the information output unit 115 outputs at least a part of the information included in the prediction information 134 updated in the process of S92 (S93). Specifically, the information output unit 115 outputs the prediction information 134 to each operation terminal 3.

As described above, the information processing device 1 according to the present embodiment includes the traveling information 132 indicating the traveling route of each vehicle 2 from the next day onward and the wear information 133 indicating the wear characteristics of each vehicle 2 attached to each vehicle 2. With reference to, the amount of wear of each wheel when each vehicle 2 travels on the traveling route is calculated.

Then, the information processing device 1 refers to the wheel information 131 indicating the current wheel diameter corresponding to each wheel, and each vehicle 2 travels on the traveling route based on the amount of wear for each wheel and the current wheel diameter. Calculate the future wheel diameter corresponding to each wheel in the case.

After that, when the future wheel diameter corresponding to at least one wheel does not satisfy the predetermined condition, the information processing device 1 operates, for example, information indicating the vehicle 2 to which the wheel that does not satisfy the predetermined condition is attached. Output to terminal 3.

That is, the information processing device 1 in the present embodiment refers to the travel information 132 of each vehicle 2 in a predetermined period (for example, the next day) in which the travel route has already been determined, so that the information processing device 1 of each wheel in the predetermined period Predict the amount of wear. Then, when the information processing device 1 detects the existence of a wheel whose wheel diameter is predicted not to satisfy the reference value within a predetermined period, the vehicle 2 to which the wheel is attached cannot travel.

As a result, the information processing device 1 can prevent the vehicle 2 to which the wheels need to be replaced from running. Therefore, the information processing device 1 can satisfy the safety standard of the vehicle 2 while traveling.

Further, the information processing device 1 can reduce the inspection items (inspection items related to the wheel inspection) at the time of performing the inspection of each vehicle 2 by constantly predicting the wear amount of each wheel. .. Therefore, the information processing device 1 can reduce the cost associated with carrying out the inspection of each vehicle 2.

The wear information 133 (wear information 133 corresponding to the curved route) described with reference to FIGS. 20 and 21 is used when calculating the amount of wear of the wheels mounted on the left side when the curved direction is on the left (wear information 133). Hereinafter, it is also referred to as first wear information 133) and information used when calculating the amount of wear of the wheel mounted on the right side when the curve direction is left (hereinafter, also referred to as second wear information 133). It may have. Further, the wear information 133 described with reference to FIGS. 20 and 21 is information used when calculating the amount of wear of the wheel mounted on the left side when the curve direction is right (hereinafter, also referred to as the third wear information 133). And, when the curve direction is on the right side, the information used when calculating the wear amount of the wheel mounted on the right side (hereinafter, also referred to as the fourth wear information 133) may be provided.

Then, for example, in the traveling information 132 described with reference to FIG. 18, when "left" is set as the "direction" corresponding to "curve information (1)" and "curve information (2)", the amount of wear is calculated. The unit 112 calculates the amount of wear of the wheel attached to the left side by using the first wear information 133, and calculates the amount of wear of the wheel attached to the right side by using the second wear information 133. You may. Further, for example, in the traveling information 132 described with reference to FIG. 18, when "right" is set as the "direction" corresponding to "curve information (1)" and "curve information (2)", the amount of wear is calculated. The unit 112 calculates the amount of wear of the wheel attached to the left side by using the third wear information 133, and calculates the amount of wear of the wheel attached to the right side by using the fourth wear information 133. You may.

Further, the wear information 133 described with reference to FIGS. 20 and 21 may have a plurality of information for each of the weather and the air temperature during traveling, for example. Further, the wear information 133 described with reference to FIGS. 20 and 21 may have a plurality of information for each speed of the vehicle 2 during traveling, for example. Then, the wear amount calculation unit 112 may calculate the wear amount of the wheel by using, for example, the wear information 133 according to the weather and the like during traveling.

The above embodiments can be summarized as follows.

(Appendix 1)
The plurality of wheels when traveling on the traveling route corresponding to the vehicle with reference to a storage unit that stores the traveling route of the vehicle in a predetermined period and the wear characteristics of the plurality of wheels attached to the vehicle. Calculate the amount of wear of each
With reference to a storage unit that stores the current wheel diameters corresponding to the plurality of wheels, the traveling route corresponding to the vehicle is set based on the wear amount of each of the plurality of wheels and the current wheel diameter. The future wheel diameters corresponding to the plurality of wheels when traveling are calculated, respectively.
When the future wheel diameter corresponding to at least one of the plurality of wheels does not satisfy a predetermined condition, information indicating a vehicle to which the at least one wheel is attached is output.
A wheel diameter prediction program characterized by having a computer perform processing.

(Appendix 2)
In Appendix 1,
The predetermined period is a period including the timing when the vehicle is next traveled.
A wheel diameter prediction program characterized by this.

(Appendix 3)
In Appendix 1,
The wear characteristic is information in which the characteristic of the travel route is associated with the amount of wear when the travel route is traveled.
In the process of calculating the amount of wear, the amount of wear corresponding to the characteristics of the traveling route in the predetermined period is specified for each of the plurality of wheels.
A wheel diameter prediction program characterized by this.

(Appendix 4)
In Appendix 1,
The wear characteristic is information in which the characteristic of the traveling route, the weight of the vehicle when traveling on the traveling route, and the amount of wear when traveling on the traveling route are associated with each other.
In the process of calculating the amount of wear, the amount of wear corresponding to the characteristics of the traveling route and the weight of the vehicle during traveling on the traveling route is specified for each of the plurality of wheels.
A wheel diameter prediction program characterized by this.

(Appendix 5)
In Appendix 3,
The characteristics of the travel route include the slope of the travel route.
A wheel diameter prediction program characterized by this.

(Appendix 6)
In Appendix 3,
The characteristics of the traveling route include the distance of the curved portion included in the traveling route.
A wheel diameter prediction program characterized by this.

(Appendix 7)
In Appendix 3,
The characteristics of the traveling route include the curve radius of the curved portion included in the traveling route.
A wheel diameter prediction program characterized by this.

(Appendix 8)
In Appendix 1,
In the process of calculating the future wheel diameter, the wear amount is subtracted from the current wheel diameter for each of the plurality of wheels.
A wheel diameter prediction program characterized by this.

(Appendix 9)
In Appendix 1,
In the output process, information indicating that the vehicle to which the at least one wheel is attached cannot travel is output.
A wheel diameter prediction program characterized by this.

(Appendix 10)
In Appendix 9,
In the output process, when a plurality of vehicles are managed, information indicating that a vehicle other than the vehicle to which at least one of the wheels is attached can travel among the plurality of vehicles is output. ,
A wheel diameter prediction program characterized by this.

(Appendix 11)
In Appendix 1, further
When the current wheel diameter corresponding to a specific wheel among the plurality of wheels does not satisfy the predetermined condition while traveling on the traveling route, information indicating a place where the specific wheel can be replaced is provided. Output,
A wheel diameter prediction program characterized by having a computer perform processing.

(Appendix 12)
In Appendix 1, further
When the current wheel diameter corresponding to a specific wheel among the plurality of wheels does not satisfy the predetermined condition while traveling on the traveling route, the current traveling position of the vehicle to which the specific wheel is attached. Outputs information indicating the location closest to
A wheel diameter prediction program characterized by having a computer perform processing.

(Appendix 13)
In Appendix 1,
In the output process, information indicating the at least one wheel is output, and further, information indicating the at least one wheel is output.
When the current wheel diameter corresponding to a specific wheel among the plurality of wheels does not satisfy the predetermined condition while traveling on the traveling route, the current wheel diameter corresponding to the specific wheel and the said Calculate the difference from the future wheel diameter corresponding to a specific wheel,
Based on the calculated difference, the future wheel diameter corresponding to each of the other wheels mounted on the same vehicle as the particular wheel is recalculated.
If the future wheel diameter corresponding to at least one of the other wheels does not meet the predetermined condition, the information indicating at least one of the other wheels is reprinted.
A wheel diameter prediction program characterized by having a computer perform processing.

(Appendix 14)
In Appendix 1,
The process of calculating the amount of wear, the process of calculating the future wheel diameter, and the process of outputting are executed in response to the travel route being stored in the storage unit.
A wheel diameter prediction program characterized by this.

(Appendix 15)
The plurality of wheels when traveling on the traveling route corresponding to the vehicle with reference to a storage unit that stores the traveling route of the vehicle in a predetermined period and the wear characteristics of the plurality of wheels attached to the vehicle. Wear amount calculation unit that calculates the wear amount of
With reference to a storage unit that stores the current wheel diameters corresponding to the plurality of wheels, the traveling route corresponding to the vehicle is set based on the wear amount of each of the plurality of wheels and the current wheel diameter. A wheel diameter calculation unit that calculates future wheel diameters corresponding to the plurality of wheels when traveling, and a wheel diameter calculation unit.
An information output unit that outputs information indicating a vehicle to which the at least one wheel is attached when the future wheel diameter corresponding to at least one of the plurality of wheels does not satisfy a predetermined condition. Have, have
A wheel diameter prediction device characterized by this.

(Appendix 16)
In Appendix 15,
The information output unit can replace the specific wheel when the current wheel diameter corresponding to the specific wheel among the plurality of wheels does not satisfy the predetermined condition while traveling on the traveling route. Output information indicating the location
A wheel diameter prediction device characterized by this.

(Appendix 17)
A wheel diameter prediction system having a vehicle and an information processing device accessible to the vehicle.
The information processing device
The plurality of wheels when traveling on the traveling route corresponding to the vehicle with reference to a storage unit that stores the traveling route of the vehicle in a predetermined period and the wear characteristics of the plurality of wheels attached to the vehicle. Wear amount calculation unit that calculates the wear amount of
With reference to a storage unit that stores the current wheel diameters corresponding to the plurality of wheels, the traveling route corresponding to the vehicle is set based on the wear amount of each of the plurality of wheels and the current wheel diameter. A wheel diameter calculation unit that calculates future wheel diameters corresponding to the plurality of wheels when traveling, and a wheel diameter calculation unit.
An information output unit that outputs information indicating a vehicle to which the at least one wheel is attached when the future wheel diameter corresponding to at least one of the plurality of wheels does not satisfy a predetermined condition. Have, have
A wheel diameter prediction system characterized by this.

(Appendix 18)
In Appendix 17,
The information output unit can replace the specific wheel when the current wheel diameter corresponding to the specific wheel among the plurality of wheels does not satisfy the predetermined condition while traveling on the traveling route. Output information indicating the location
A wheel diameter prediction system characterized by this.

(Appendix 19)
The plurality of wheels when traveling on the traveling route corresponding to the vehicle with reference to a storage unit that stores the traveling route of the vehicle in a predetermined period and the wear characteristics of the plurality of wheels attached to the vehicle. Calculate the amount of wear of each
With reference to a storage unit that stores the current wheel diameters corresponding to the plurality of wheels, the traveling route corresponding to the vehicle is set based on the wear amount of each of the plurality of wheels and the current wheel diameter. The future wheel diameters corresponding to the plurality of wheels when traveling are calculated, respectively.
When the future wheel diameter corresponding to at least one of the plurality of wheels does not satisfy a predetermined condition, information indicating a vehicle to which the at least one wheel is attached is output.
A wheel diameter prediction method characterized by this.

(Appendix 20)
In Appendix 19, further
When the current wheel diameter corresponding to a specific wheel among the plurality of wheels does not satisfy the predetermined condition while traveling on the traveling route, information indicating a place where the specific wheel can be replaced is provided. Output,
A wheel diameter prediction method characterized by this.

1: Information processing device 2a: Vehicle 2b: Vehicle 2c: Vehicle 3a: Operation terminal 3b: Operation terminal 3c: Operation terminal NW: Network

Claims (16)

The plurality of wheels when traveling on the traveling route corresponding to the vehicle with reference to a storage unit that stores the traveling route of the vehicle in a predetermined period and the wear characteristics of the plurality of wheels attached to the vehicle. Calculate the amount of wear of each
With reference to a storage unit that stores the current wheel diameters corresponding to the plurality of wheels, the traveling route corresponding to the vehicle is set based on the wear amount of each of the plurality of wheels and the current wheel diameter. The future wheel diameters corresponding to the plurality of wheels when traveling are calculated, respectively.
When the future wheel diameter corresponding to at least one of the plurality of wheels does not satisfy a predetermined condition, information indicating a vehicle to which the at least one wheel is attached is output.
A wheel diameter prediction program characterized by having a computer perform processing. In claim 1,
The predetermined period is a period including the timing when the vehicle is next traveled.
A wheel diameter prediction program characterized by this. In claim 1,
The wear characteristic is information in which the characteristic of the travel route is associated with the amount of wear when the travel route is traveled.
In the process of calculating the amount of wear, the amount of wear corresponding to the characteristics of the traveling route in the predetermined period is specified for each of the plurality of wheels.
A wheel diameter prediction program characterized by this. In claim 1,
The wear characteristic is information in which the characteristic of the traveling route, the weight of the vehicle when traveling on the traveling route, and the amount of wear when traveling on the traveling route are associated with each other.
In the process of calculating the amount of wear, the amount of wear corresponding to the characteristics of the traveling route and the weight of the vehicle during traveling on the traveling route is specified for each of the plurality of wheels.
A wheel diameter prediction program characterized by this. In claim 3,
The characteristics of the travel route include the slope of the travel route.
A wheel diameter prediction program characterized by this. In claim 3,
The characteristics of the traveling route include the distance of the curved portion included in the traveling route.
A wheel diameter prediction program characterized by this. In claim 3,
The characteristics of the traveling route include the curve radius of the curved portion included in the traveling route.
A wheel diameter prediction program characterized by this. In claim 1,
In the process of calculating the future wheel diameter, the wear amount is subtracted from the current wheel diameter for each of the plurality of wheels.
A wheel diameter prediction program characterized by this. In claim 1,
In the output process, information indicating that the vehicle to which the at least one wheel is attached cannot travel is output.
A wheel diameter prediction program characterized by this. In claim 9.
In the output process, when a plurality of vehicles are managed, information indicating that a vehicle other than the vehicle to which at least one of the wheels is attached can travel among the plurality of vehicles is output. ,
A wheel diameter prediction program characterized by this. In claim 1, further
When the current wheel diameter corresponding to a specific wheel among the plurality of wheels does not satisfy the predetermined condition while traveling on the traveling route, information indicating a place where the specific wheel can be replaced is provided. Output,
A wheel diameter prediction program characterized by having a computer perform processing. In claim 1, further
When the current wheel diameter corresponding to a specific wheel among the plurality of wheels does not satisfy the predetermined condition while traveling on the traveling route, the current traveling position of the vehicle to which the specific wheel is attached. Outputs information indicating the location closest to
A wheel diameter prediction program characterized by having a computer perform processing. In claim 1,
In the output process, information indicating the at least one wheel is output, and further, information indicating the at least one wheel is output.
When the current wheel diameter corresponding to a specific wheel among the plurality of wheels does not satisfy the predetermined condition while traveling on the traveling route, the current wheel diameter corresponding to the specific wheel and the said Calculate the difference from the future wheel diameter corresponding to a specific wheel,
Based on the calculated difference, the future wheel diameter corresponding to each of the other wheels mounted on the same vehicle as the particular wheel is recalculated.
If the future wheel diameter corresponding to at least one of the other wheels does not meet the predetermined condition, the information indicating at least one of the other wheels is reprinted.
A wheel diameter prediction program characterized by having a computer perform processing. In claim 1,
The process of calculating the amount of wear, the process of calculating the future wheel diameter, and the process of outputting are executed in response to the travel route being stored in the storage unit.
A wheel diameter prediction program characterized by this. A wheel diameter prediction system having a vehicle and an information processing device accessible to the vehicle.
The information processing device
The plurality of wheels when traveling on the traveling route corresponding to the vehicle with reference to a storage unit that stores the traveling route of the vehicle in a predetermined period and the wear characteristics of the plurality of wheels attached to the vehicle. Wear amount calculation unit that calculates the wear amount of
With reference to a storage unit that stores the current wheel diameters corresponding to the plurality of wheels, the traveling route corresponding to the vehicle is set based on the wear amount of each of the plurality of wheels and the current wheel diameter. A wheel diameter calculation unit that calculates future wheel diameters corresponding to the plurality of wheels when traveling, and a wheel diameter calculation unit.
An information output unit that outputs information indicating a vehicle to which the at least one wheel is attached when the future wheel diameter corresponding to at least one of the plurality of wheels does not satisfy a predetermined condition. Have, have
A wheel diameter prediction system characterized by this. The plurality of wheels when traveling on the traveling route corresponding to the vehicle with reference to a storage unit that stores the traveling route of the vehicle in a predetermined period and the wear characteristics of the plurality of wheels attached to the vehicle. Calculate the amount of wear of each
With reference to a storage unit that stores the current wheel diameters corresponding to the plurality of wheels, the traveling route corresponding to the vehicle is set based on the wear amount of each of the plurality of wheels and the current wheel diameter. The future wheel diameters corresponding to the plurality of wheels when traveling are calculated, respectively.
When the future wheel diameter corresponding to at least one of the plurality of wheels does not satisfy a predetermined condition, information indicating a vehicle to which the at least one wheel is attached is output.
A wheel diameter prediction method characterized by this.

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