Forklift, pedal weight change system, pedal weight estimation program, and forklift allocation system

Abstract

To provide a forklift that allows an operator to drive with an appropriate pedal weight.SOLUTION: A forklift comprises a pedal 14, an operation storage part 33, a proficiency determination part 36, a weight estimation part 38, and a weight changing part 18. The operation storage part 33 stores the forklift operating duration of an operator and the operating result of the operator during the operation duration. The proficiency determination part 36 determines the operator's proficiency based on the forklift operating duration of the operator and the relevance of the operator's operating result on the operating duration. The weight estimation part 38 estimates the appropriate pedal weight of the operator based on the proficiency determined by the proficiency determination part 36. The weight changing part 18 changes the weight of the pedal 14 to the estimated pedal weight based on the operator proficiency.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to a pedal weight change system for a forklift, a forklift equipped with the system, a pedal weight estimation program, and a forklift allocation system.

Background Art

[0002] Forklifts include types such as reach forklifts and counterbalanced forklifts. The pedals of forklifts differ in number and function depending on the type of forklift.

[0003] As disclosed in Patent Document 1, a reach forklift includes a brake pedal and a presence pedal. The presence pedal is configured to be able to stop traveling and cargo handling, and the driver cannot perform traveling or cargo handling unless the presence pedal is depressed.

[0004] Also, as disclosed in Patent Document 2, a counterbalanced forklift includes an accelerator pedal and a brake pedal, and an engine-type counterbalanced forklift further includes a clutch pedal. Among battery-powered forklifts, an automatic forklift further includes an inching pedal instead of a clutch pedal. By depressing the inching pedal, the driver can put the forklift in a semi-clutch state and cut off the driving power.

[0005] By the way, different from a passenger car, a single forklift may be driven by a plurality of drivers with different levels of proficiency in turn. And, in the case of a forklift, the difference in the pedal operation method for each driver due to the difference in proficiency is larger than that of a passenger car. Therefore, it is preferable to vary the weight of the pedal, for example, according to the proficiency of the driver, but it is troublesome for the driver to adjust the weight of the appropriate pedal every time he / she gets on the vehicle.

Prior Art Documents

Patent Documents

[0006]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0007] Therefore, the problem to be solved by the present invention is to provide a forklift and a forklift allocation system that enable a driver to ride with an appropriate pedal weight.

Means for Solving the Problems

[0008] In order to solve the above problems, the forklift according to the present invention includes: at least one pedal among a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal; a driving memory unit that stores the forklift driving time of the driver and the driving result of the driver during the driving time; a proficiency determination unit that determines the proficiency of the driver based on the relevance between the forklift driving time of the driver and the driving result of the driver for the driving time; a weight estimation unit that estimates an appropriate pedal weight of the driver based on the proficiency determined by the proficiency determination unit; and a weight change unit that changes the weight of the pedal based on the estimated appropriate pedal weight of the driver.

[0009] In the above forklift, for example, the forklift driving time is the total driving time of the driver.

[0010] In the above forklift, for example, the forklift driving time is the total driving time of the driver in the most recent predetermined period.

[0011] In the above forklift, preferably, The driving results of the driver during the forklift driving time of the driver include the number of times exceeding a predetermined acceleration and the number of times exceeding a predetermined deceleration during the driving time.

[0012] In the above forklift, preferably, The driving results of the driver during the forklift driving time of the driver include the number of collisions of the forklift during the driving time.

[0013] In the above forklift, preferably, The driving results of the driver during the forklift driving time of the driver include the number of stops of the forklift during the driving time.

[0014] In the above forklift, preferably, The driving results of the driver during the forklift driving time of the driver include the number of times exceeding a predetermined acceleration and the number of times exceeding a predetermined deceleration of the forklift, as well as the number of stops and the number of collisions of the forklift during the driver's forklift driving time. The proficiency determination unit has a learned model, The learned model is pre-learned based on teacher data that uses the driver's forklift driving time, the number of times exceeding a predetermined acceleration, the number of times exceeding a predetermined deceleration, the number of stops, and the number of collisions as input data and the proficiency as output data, and is configured to output the driver's proficiency when the driver's forklift driving time, the number of times exceeding a predetermined acceleration, the number of times exceeding a predetermined deceleration, the number of stops, and the number of collisions are input.

[0015] To solve the above problems, the pedal weight change system according to the present invention is A pedal weight change system used for a forklift equipped with at least one pedal among a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal, A driving storage unit that stores the driver's forklift driving time and the driver's driving results during the driving time, A proficiency determination unit that determines a driver's proficiency based on the relationship between the driver's forklift operation time and the driver's operation result for that operation time, A weight estimation unit that estimates an appropriate pedal weight for the driver based on the proficiency determined by the proficiency determination unit, A weight change unit that changes the weight of the pedal based on the estimated appropriate pedal weight of the driver, and is provided.

[0016] In order to solve the above problems, the pedal weight estimation program according to the present invention is At least one pedal among a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal, A weight change unit that changes the weight of the pedal based on the estimated appropriate pedal weight, A pedal weight estimation program used in a forklift equipped with a computer, The computer stores the driver's forklift operation time and the driver's operation result at that operation time, The pedal weight estimation program causes the computer to A proficiency determination unit that determines a driver's proficiency based on the relationship between the driver's forklift operation time and the driver's operation result for that operation time, Operate as a weight estimation unit that estimates an appropriate pedal weight for the driver based on the proficiency determined by the proficiency determination unit.

[0017] In order to solve the above problems, the forklift allocation system according to the present invention is A forklift allocation system used in a plurality of forklifts equipped with at least one pedal among a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal, The pedal weights of the pedals of each forklift are different for each forklift, The forklift allocation system is A weight storage unit that stores the pedal weights of each forklift, A driving memory unit that associates and stores the forklift driving time of each of a plurality of drivers and the driving results of each driver during the driving time with driver information. A proficiency determination unit that determines the proficiency of each driver based on the relevance between the forklift driving time of each driver and the driving results of each driver for that driving time. A weight estimation unit that estimates the appropriate pedal weight for each driver based on the proficiency of each driver determined by the proficiency determination unit. A selection unit that selects, with reference to the appropriate pedal weight of each driver and the pedal weight of each forklift, a forklift having a pedal weight close to the appropriate pedal weight of each driver from among a plurality of forklifts.

Advantages of the Invention

[0018] The forklift according to the present invention allows the driver to board with an appropriate pedal weight. Further, the forklift allocation system according to the present invention can allocate a forklift suitable for each driver.

Brief Description of the Drawings

[0019]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Best Mode for Carrying Out the Invention

[0020] (First Embodiment) First, with reference to the accompanying drawings, a forklift 1, a pedal weight change system, and a pedal weight estimation program according to a first embodiment of the present invention will be described.

[0021] FIG. 1 is a front view of a forklift 1 according to the present embodiment. The forklift 1 is a battery-powered counterbalanced forklift. As shown in FIG. 1, the forklift 1 includes a plurality of wheels 10, a vehicle body 11, a driver's seat 12, a head guard 13, pedals 14 (see FIG. 2), left and right masts 15, left and right forks 16, and a camera 17. Further, as shown in FIG. 2, the forklift 1 includes a weight change unit 18, an acceleration / deceleration detection unit 19, a stop detection unit 20, a collision detection unit 21, and a control unit 30.

[0022] The plurality of wheels 10 are provided on four sides of the vehicle body 11. The driver's seat 12 is provided on the vehicle body 11, and the head guard 13 is provided above the driver's seat 12.

[0023] The pedals 14 include an accelerator pedal, a brake pedal, and an inching pedal, and are provided below the driver's seat 12.

[0024] The left and right forks 16 are configured to be able to move up and down via the left and right masts 15, and the driver O raises and lowers the forks 16 to perform a loading and unloading operation.

[0025] The camera 17 is fixed to the head guard 13 and is configured to photograph the face of the driver O who rides on the forklift 1. The camera 17 may be configured to detect a person wearing the uniform U (i.e., the driver O) as the driver O and automatically photograph the person when the driver O approaches the forklift 1. Alternatively, the camera 17 may be provided on the driver's seat 12 so as to photograph the face of the driver O seated on the driver's seat 12. The camera 17 photographs the face of the driver O to generate a face image, and the generated face image is transmitted to the control unit 30.

[0026] The weight changing unit 18 changes the weight of the pedal 14 when the driver O steps on it based on the pedal weight estimated by the weight estimating unit 38 described later. The weight changing unit 18 is configured by, for example, a device that can adjust the weight by hydraulic pressure, a device that can adjust the weight by a spring, or the like.

[0027] Also, for example, the weight changing unit 18 may be an assist device that assists the stepping force of the pedal 14. In this case, the weight changing unit 18 may adjust the assist force based on the pedal weight estimated by the weight estimating unit 38 and substantially change the pedal weight when the driver O steps on it.

[0028] Alternatively, the weight changing unit 18 may be configured to change the magnitude of the driving force or the braking force of each device that responds to the stepping amount of the pedal 14 based on the pedal weight estimated by the weight estimating unit 38, for example. Thereby, the weight changing unit 18 substantially changes the pedal weight.

[0029] The acceleration / deceleration detection unit 19 is a known acceleration / deceleration sensor that detects the acceleration and deceleration of the forklift 1. The acceleration / deceleration detection unit 19 is configured by, for example, a wheel speed sensor, and detects the rotation speed and rotation direction of the wheel 10. The acceleration / deceleration detection unit 19 detects the acceleration and deceleration of the forklift 1 and transmits the detected acceleration and deceleration to the control unit 30.

[0030] The parking detection unit 20 detects the parking of the forklift 1. An experienced operator of the forklift 1 makes fewer stops, that is, fewer switches between forward and reverse in the loading and unloading operation, i.e., temporarily stops driving, than a beginner. The parking detection unit 20 aims to detect such a difference in the number of stops. Therefore, the parking in the present invention may be a complete stop or a concept including stops and switches between forward and reverse. When the parking detection unit 20 detects the parking of the forklift 1, it transmits a parking signal to the control unit 30.

[0031] The collision detection unit 21 detects the collision of the forklift 1. The collision detection unit 21 may be constituted by, for example, a known acceleration sensor or a collision sensor provided on the vehicle body 11. When the collision detection unit 21 detects a collision, it transmits a collision signal to the control unit 30.

[0032] The control unit 30 is constituted by a computer disposed within the vehicle body 11 and includes an arithmetic unit, a storage device, and a memory. The storage device stores a pedal weight estimation program for operating the computer as a proficiency determination unit 36 and a weight estimation unit 38, which will be described later.

[0033] FIG. 2 is a block diagram of the forklift 1. As shown in FIG. 2, the control unit 30 includes a driver storage unit 31, a driver identification unit 32, a driving storage unit 33, a proficiency determination unit 36, a proficiency storage unit 37, a weight estimation unit 38, and a weight storage unit 39.

[0034] The driver storage unit 31 stores driver information of each driver O. The driver information includes a face image of the driver O and an identifier of the driver O (e.g., "Driver No."), and the driver storage unit 31 stores this face image and identifier in association with each other.

[0035] The driver identification unit 32 identifies the driver O by referring to the face image generated by the camera 17 and the face image stored in the driver memory unit 31. The identifier of the driver O corresponding to the identified driver O is transmitted to the acceleration / deceleration memory unit, the stop count memory unit, the collision count memory unit, the proficiency determination unit 36, the proficiency memory unit 37, the weight estimation unit 38, and the weight memory unit 39.

[0036] The driving memory unit 33 stores, as needed, the forklift driving time of each of the plurality of drivers O and the driving results of each driver O during the driving time in association with each driver information (driver No. in this embodiment). In this embodiment, the driving results include (a) the number of times exceeding a predetermined acceleration and the number of times exceeding a predetermined deceleration during the forklift driving time, (b) the number of collisions of forklift 1 during the forklift driving time, and (c) the number of stops of forklift 1 during the forklift driving time. The driving time of forklift 1 for each driver O is the accumulated total driving time of each driver O. FIG. 3 shows the total driving time stored in association with each driver information, the number of times exceeding a predetermined acceleration and the number of times exceeding a predetermined deceleration during the driving time, the number of stops, and the number of collisions.

[0037] As shown in FIG. 4, the proficiency determination unit 36 has a learned model 360.

[0038] The learned model 360 is pre-learned based on teacher data that uses the driving time, the number of times exceeding a predetermined acceleration, the number of times exceeding a predetermined deceleration, the number of stops, and the number of collisions of each driver O as input data and the proficiency as output data. Then, the learned model 360 is configured to output the proficiency of each driver O when the driving time, the number of times exceeding a predetermined acceleration, the number of times exceeding a predetermined deceleration, the number of stops, and the number of collisions of each driver O are input.

[0039] The learned model 360 may be composed of, for example, a neural network using deep learning, and the learning method is not particularly limited. For example, the learned model 360 may perform learning for each vehicle type of the forklift 1 and may be composed of learned models 360 for each vehicle type. Alternatively, the learned model 360 may include the vehicle type in the input data of the teacher data and may be learned to output the proficiency level according to the vehicle type when the vehicle type is input.

[0040] The learned model 360 may output, for example, by dividing the proficiency level into a plurality of levels represented by integers such as five levels, or may output, for example, a real number including a decimal point between 1 and 5.

[0041] The proficiency determination unit 36 inputs the total driving time of each driver O, the number of times exceeding a predetermined acceleration, the number of times exceeding a predetermined deceleration, the number of stops, and the number of collisions into the learned model 360, and outputs the proficiency level of each driver O. The output proficiency level is transmitted to the proficiency storage unit 37 and the weight estimation unit 38.

[0042] The proficiency storage unit 37 stores the received proficiency level in association with the driver information (driver No. in this embodiment).

[0043] The weight estimation unit 38 estimates an appropriate pedal weight for the driver O based on the proficiency level of the driver O. According to certain data, it is said that the higher the proficiency level of the driver O, the fewer sudden accelerations, sudden brakes, and collisions. Looking at this data from the opposite perspective, it can be said that the lower the proficiency level of the driver O, the more sudden accelerations, sudden brakes, and collisions. Therefore, for example, the weight estimation unit 38 may estimate a heavier appropriate pedal weight for the driver O with a lower proficiency level in order to reduce sudden accelerations, sudden brakes, and collisions of the driver O with a lower proficiency level.

[0044] Further, for example, if the driver information includes the age, gender, and weight of driver O, the weight estimation unit 38 may refer to the driver information and estimate the appropriate pedal weight of driver O based on the age, gender, and weight of driver O in addition to the proficiency level. The weighting of proficiency level, age, gender, and weight for the pedal weight estimated by the weight estimation unit 38 in this case is not limited. Also, the appropriate pedal weight for driver O estimated by the weight estimation unit 38 does not have to estimate the weights of all the pedals provided in the forklift 1. That is, in this embodiment, the weight estimation unit 38 only needs to estimate the weight of at least one of the brake pedal, accelerator pedal, and inching pedal.

[0045] Also, in the case of the inching pedal, the weight estimation unit 38 may estimate only the weight of the inching pedal until it is brought into a semi-clutch state, or may estimate the pedal weight including the weight of the inching pedal until it is fully depressed.

[0046] The weight storage unit 39 stores the appropriate pedal weight of each driver O in association with each driver information (driver No. in this embodiment).

[0047] The weight change unit 18 changes the weight of the pedal 14 of the forklift 1 to the pedal weight corresponding to the driver O specified by the driver identification unit 32 based on the appropriate pedal weight of each driver O stored in the weight storage unit 39.

[0048] <Flow of Pedal Weight Change> Next, the flow of pedal weight change of the forklift 1 will be described again with reference to FIG. 5.

[0049] (1) The forklift 1 stores in the driving storage unit 33 at any time the driving time of each driver O, the number of times exceeding a predetermined acceleration, the number of times exceeding a predetermined deceleration, the number of stops, and the number of collisions (driving results) of the forklift 1 during this driving time (see S (step) 51 in FIG. 5).

[0050] (2) Then, the forklift 1 determines the proficiency level of each driver O by the proficiency determination unit 36 based on the total driving time of each driver O and the corresponding driving results (see S52 in FIG. 5).

[0051] (3) Next, the forklift 1 associates the proficiency level of each driver O with the driver information and stores it in the proficiency memory unit 37 (see S53 in FIG. 5). At this time, the proficiency level corresponding to each driver O is updated.

[0052] (4) Next, the forklift 1 estimates the appropriate pedal weight for each driver O based on the proficiency level of each driver O by the pedal weight estimation unit 38 (see S54 in FIG. 5).

[0053] (5) Next, the forklift 1 associates the estimated appropriate pedal weight for each driver O with the driver information and stores it in the pedal weight memory unit 39. At this time, the appropriate pedal weight corresponding to each driver O is updated (see S55 in FIG. 5). Through the above process, the appropriate pedal weight for each driver O is stored in the database in the computer of the forklift 1.

[0054] (6) Next, the forklift 1 photographs the driver O getting on the vehicle by the camera 17, identifies the driver O by the driver identification unit 32 (see S56 in FIG. 5), and refers to the pedal weight memory unit 39 to identify the appropriate pedal weight corresponding to the identified driver O (see S57 in FIG. 5).

[0055] (7) Next, the forklift 1 changes the weight of the pedal 14 of the forklift 1 to the identified pedal weight (see S58 in FIG. 5).

[0056] With this flow, the forklift 1 can automatically change the weight of the pedal 14 according to the proficiency of each driver O, and provide a more appropriate driving operation according to the proficiency to the driver O. The forklift 1 can prevent a sudden depression of the pedal 14 by estimating a more appropriate pedal weight to be heavier for a driver O with lower proficiency. Also, the forklift 1 can reduce the burden on the driver O with high proficiency due to the operation of the pedal 14 by estimating a more appropriate pedal weight to be lower for a driver O with higher proficiency. Since a driver O with high proficiency has a large amount of work in a predetermined time, and as a result, there may be many operations of the pedal 14 in a predetermined time, it may be useful to make the pedal weight lighter for a driver O with higher proficiency.

[0057] (Second Embodiment) Next, the forklift allocation system S according to the second embodiment of the present invention will be described. Regarding the same configurations as those in the first embodiment, the same reference numerals may be given and the specific description thereof may be omitted.

[0058] As shown in FIG. 6, the forklift allocation system S includes a plurality of forklifts 1 and a management device 4 capable of communicating with each forklift 1. The forklift allocation system S is configured such that the management device 4 allocates each driver O to a plurality of forklifts 1.

[0059] Each forklift 1 includes, as in the first embodiment, a plurality of wheels 10, a vehicle body 11, a driver's seat 12, a head guard 13, a pedal 14, left and right masts 15, left and right forks 16, a camera 17, an acceleration / deceleration detection unit 19, a stop detection unit 20, a collision detection unit 21, and a control unit 30. Each forklift 1 is configured to perform a loading and unloading operation as in the first embodiment. On the other hand, each forklift 1 does not include a weight change unit 18, unlike the forklift 1 in the first embodiment. Also, the pedal weights of each forklift 1 are different for each forklift 1.

[0060] FIG. 7 is a block diagram showing a part of the forklift allocation system S. As shown in FIG. 7, the control unit 30 includes a driver storage unit 31, a driver identification unit 32, and a driving storage unit 33.

[0061] The camera 17, as in the first embodiment, captures the face of the driver O and generates a face image. The generated face image is transmitted to the control unit 30.

[0062] Each forklift 1, as in the first embodiment, detects the acceleration, deceleration, stop, and collision of the forklift 1 by the acceleration / deceleration detection unit 19, the stop detection unit 20, and the collision detection unit 21, and transmits the detected acceleration and deceleration, as well as the stop signal and the collision signal, to the control unit 30.

[0063] The driver storage unit 31 stores the driver information of each driver O, and the driver identification unit 32 identifies the driver O by the same method as in the first embodiment.

[0064] The driving storage unit 33, as in the first embodiment, stores at any time the forklift driving time of each of the plurality of drivers O and the driving results of each driver O during the driving time, in association with each driver information (driver No. in this embodiment). The driving results include, as in the first embodiment, (a) the number of times exceeding a predetermined acceleration and the number of times exceeding a predetermined deceleration during the forklift driving time, (b) the number of collisions of the forklift 1 during the forklift driving time, and (c) the number of stops of the forklift 1 during the forklift driving time.

[0065] The driving storage unit 33 transmits the forklift driving time of each of the plurality of drivers O stored and the driving results of each driver O during the driving time, together with the driver information, to the management device 4.

[0066] The management device 4 is a server computer and, as shown in FIG. 7, includes a comprehensive driving storage unit 40, a proficiency determination unit 36, a proficiency storage unit 37, a weight estimation unit 38, a weight storage unit 39, a pedal storage unit 41, and a selection unit 42.

[0067] The comprehensive operation memory unit 40 stores, in association with driver information, the forklift operation time of each of the plurality of drivers O received from each forklift 1 and the driving results of each driver O during the operation time.

[0068] The proficiency determination unit 36 has a learned model 360 similar to that of the first embodiment. Then, the proficiency determination unit 36 inputs the total driving time, the number of times exceeding a predetermined acceleration, the number of times exceeding a predetermined deceleration, the number of stops, and the number of collisions of each driver O stored in the comprehensive operation memory unit 40 into the learned model 360, and outputs the proficiency of each driver O. The proficiency memory unit 37 stores the received proficiency in association with driver information (in this embodiment, driver No.).

[0069] Based on the proficiency of each driver O, the weight estimation unit 38 estimates the appropriate pedal weight of each driver O by the same method as in the first embodiment. The weight memory unit 39 stores the appropriate pedal weight of each driver O in association with each driver information (in this embodiment, driver No.).

[0070] The pedal memory unit 41 stores the weight of the pedal 14 of each forklift 1.

[0071] The selection unit 42 selects, with reference to the appropriate pedal weight of each driver O and the pedal weight of each forklift 1, the forklift 1 having a pedal weight close to the appropriate pedal weight of each driver O from among the plurality of forklifts 1.

[0072] Based on the result selected by the selection unit 42, the forklift allocation system S allocates each driver O to each forklift 1 so that the appropriate pedal weight of each driver O matches the pedal weight of each forklift 1 as much as possible.

[0073] Thus, the forklift allocation system S improves the efficiency of the cargo handling operation by providing a pedal operation environment suitable for each driver O by matching the forklift 1 with the driver O based on the appropriate pedal weight of each driver O, and reduces the number of sudden starts, sudden stops, and collisions.

[0074] As described above, each embodiment of the forklift, the pedal weight change system, the pedal weight estimation program, and the forklift allocation system according to the present invention has been described. However, the present invention is not limited to the above embodiments. The forklift, the pedal weight change system, the pedal weight estimation program, and the forklift allocation system according to the present invention may be implemented, for example, according to the following modification examples, or may be implemented by appropriately combining each modification example.

[0075] <Modification Example> · The forklift 1 may be a reach forklift. Also, the forklift 1 may be an engine-powered forklift. In this case, the pedal 14 may include a clutch pedal.

[0076] · The driving memory unit 33 is configured to store, for example, the driving time of the driver O in the most recent predetermined period and the driving result of the driver O during the driving time. The proficiency determination unit 36 may be configured to determine the proficiency of the driver O based on the relevance between the driving time of the driver O for the forklift 1 in the most recent predetermined period and the driving result of the driver O for the driving time. By doing so, for example, the proficiency of the driver O can be determined based on the relevance between the driving time of the driver O in the most recent month and the driving result of the driver O for the driving time in the most recent month. Thereby, the proficiency can be determined excluding the past driving results of the driver O, and thereby the current proficiency of the driver O can be appropriately determined.

[0077] · In the above embodiment, the weight estimation unit 38 estimated an appropriate pedal weight with reference to the proficiency level. However, for example, it may also estimate an appropriate pedal weight with further reference to all or any of the weight, muscle mass, and age of the driver O. In this case, the driver information includes all or any of the weight, muscle mass, and age of each driver O.

[0078] · The forklift 1 may include an input unit that receives an input such as the name or identifier corresponding to each driver O, or an input of a tool for identifying each driver O such as an ID card. In this case, the driver identification unit 32 may identify the driver O based on this driver information received by the input unit.

[0079] · The driver information may include a tag for identifying each driver O, a QR code (registered trademark), etc. In this case, the helmet H may have a tag for identifying each driver O, a QR code (registered trademark), etc., and the forklift 1 may have a tool for detecting this driver information.

[0080] · The proficiency determination unit 36 does not have a learned model 360, and may determine the proficiency level of the driver O by a predetermined formula based on all or any of the number of times the forklift 1 exceeded a predetermined acceleration, the number of times it exceeded a predetermined deceleration, the number of stops, and the number of collisions during each handling operation of each driver O.

[0081] · The learned model 360 may not include, for example, the number of stops or the number of collisions of the forklift 1 during each handling operation of each driver O as teacher data. In this case, the learned model 360 is configured to output the proficiency level when the number of times the forklift 1 exceeded a predetermined acceleration, the number of times it exceeded a predetermined deceleration, and the number of stops or the number of collisions during each handling operation of each driver O are input.

Explanation of Signs

[0082] H Helmet O Driver S Forklift Allocation System U Uniform 1 Forklift 10 Wheels 11 Vehicle Body 12 Driver's Seat 13 Head Guard 14 Pedal 15 Mast 16 Fork 17 Camera 18 Weight Change Unit 19 Acceleration / Deceleration Detection Unit 20 Parking Detection Unit 21 Collision Detection Unit 30 Control Unit 31 Driver Memory Unit 32 Driver Identification Unit 33 Driving Memory Unit 36 Proficiency Judgment Unit 360 Learned Model 37 Proficiency Memory Unit 38 Weight Estimation Unit 39 Weight Memory Unit 4 Management Device 40 Comprehensive Driving Memory Unit 41 Pedal Memory Unit 42 Selection Unit

Claims

1. At least one pedal among a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal, A driving memory unit that stores the forklift driving time of the driver and the driving result of the driver during the driving time, A proficiency determination unit that determines the proficiency of the driver based on the relevance between the forklift driving time of the driver and the driving result of the driver for the driving time, A weight estimation unit that estimates an appropriate pedal weight for the driver based on the proficiency determined by the proficiency determination unit, A forklift comprising a weight change unit that changes the weight of the pedal based on the estimated appropriate pedal weight of the driver.

2. The forklift according to claim 1, wherein the forklift driving time is the total driving time of the driver.

3. The forklift according to claim 1, wherein the forklift driving time is the total driving time of the driver in a recent predetermined period.

4. The forklift according to claim 1, wherein the driving result of the driver during the forklift driving time of the driver includes the number of times the driver exceeded a predetermined acceleration and the number of times the driver exceeded a predetermined deceleration during the driving time.

5. The forklift according to claim 1, wherein the driving result of the driver during the forklift driving time of the driver includes the number of collisions of the forklift during the driving time.

6. The forklift according to claim 1, wherein the driving result of the driver during the forklift driving time of the driver includes the number of stops of the forklift during the driving time.

7. The driving result of the driver during the forklift driving time of the driver includes the number of times the forklift exceeds a predetermined acceleration, the number of times the forklift exceeds a predetermined deceleration, the number of stops of the forklift, and the number of collisions during the forklift driving time of the driver. The proficiency determination unit has a learned model. The learned model is pre-learned based on teacher data that uses the forklift driving time of the driver, the number of times exceeding a predetermined acceleration, the number of times exceeding a predetermined deceleration, the number of stops, and the number of collisions as input data and the proficiency as output data, and is configured to output the proficiency of the driver when the forklift driving time of the driver, the number of times exceeding a predetermined acceleration, the number of times exceeding a predetermined deceleration, the number of stops, and the number of collisions are input. The forklift according to claim 1.

8. A pedal weight change system used for a forklift equipped with at least one pedal among a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal, A driving storage unit that stores the forklift driving time of the driver and the driving result of the driver during the driving time, A proficiency determination unit that determines the proficiency of the driver based on the relevance between the forklift driving time of the driver and the driving result of the driver for the driving time, A weight estimation unit that estimates an appropriate pedal weight for the driver based on the proficiency determined by the proficiency determination unit, A pedal weight change system including a weight change unit that changes the weight of the pedal based on the estimated appropriate pedal weight of the driver.

9. At least one pedal among a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal, A weight change unit that changes the weight of the pedal based on the estimated appropriate pedal weight, A computer, and a pedal weight estimation program used for a forklift, The computer stores the forklift operation time of the driver and the driving result of the driver during the operation time. The computer stores the forklift operation time of the driver and the driving result of the driver during the operation time. The pedal weight estimation program causes the computer to include a proficiency determination unit that determines the proficiency of the driver based on the relevance between the forklift operation time of the driver and the driving result of the driver for the operation time, and a weight estimation unit that estimates the appropriate pedal weight of the driver based on the proficiency determined by the proficiency determination unit. The pedal weight estimation program operates as such.

10. A forklift allocation system used for a plurality of forklifts each including at least one pedal among a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal, wherein the pedal weight of the pedal of each forklift is different for each forklift, and the forklift allocation system includes a weight storage unit that stores the pedal weight of each forklift, a driving storage unit that stores the forklift operation time of each of a plurality of drivers and the driving result of each driver during the operation time, a proficiency determination unit that determines the proficiency of each driver based on the relevance between the forklift operation time of each driver and the driving result of each driver for the operation time, a weight estimation unit that estimates the appropriate pedal weight of each driver based on the proficiency of each driver determined by the proficiency determination unit, and a selection unit that selects, from among the plurality of forklifts, a forklift having a pedal weight close to the appropriate pedal weight of each driver with reference to the appropriate pedal weight of each driver and the pedal weight of each forklift. The forklift allocation system includes the above components.

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