Forklift, pedal weight changing 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 changing system for a forklift, a forklift equipped with said system, a pedal weight estimating program, and a forklift allocation system. [Background technology]

[0002] There are various types of forklifts, such as reach forklifts and countertop forklifts. The number and functions of pedals on a forklift vary depending on the type of forklift.

[0003] As disclosed in Patent Document 1, a reach forklift is equipped with a brake pedal and a presence pedal. The presence pedal is configured to be able to stop the vehicle from traveling and loading and unloading, and the driver cannot travel or unload unless he or she depresses the presence pedal.

[0004] As disclosed in Patent Document 2, countertop forklifts are equipped with an accelerator pedal and a brake pedal, and engine-powered countertop forklifts are further equipped with a clutch pedal. Among battery-powered forklifts, automatic forklifts are further equipped with an inching pedal instead of a clutch pedal. By stepping on the inching pedal, the driver can put the forklift into a half-clutch state and cut off the driving power.

[0005] However, unlike passenger cars, a single forklift may be used by multiple drivers with different levels of skill. In addition, the difference in pedal operation methods between drivers with different levels of skill is greater for forklifts than for passenger cars. Therefore, it is preferable to vary the pedal weight according to the driver's level of skill, but it is troublesome for the driver to adjust the pedal weight to an appropriate level every time they get on the forklift. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] JP 2016-047759 A [Patent Document 2] JP 2017-166663 A Summary of the Invention [Problem to be solved by the invention]

[0007] Therefore, an object of the present invention is to provide a forklift and a forklift allocation system that allow a driver to ride with an appropriate pedal weight. [Means for solving the problem]

[0008] In order to solve the above problems, the forklift according to the present invention comprises: At least one pedal selected from a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal; a driving memory unit that stores a forklift driving time of a driver and a driving result of the driver during the driving time; a proficiency level determination unit that determines a driver's proficiency level based on a correlation between a forklift driving time of the driver and a driving result of the driver relative to the driving time; a weight estimation unit that estimates an appropriate pedal weight for the driver based on the proficiency level determined by the proficiency determination unit; and a weight changing section for changing the pedal weight based on the estimated appropriate pedal weight of the driver.

[0009] In the above forklift, for example, 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 specified period.

[0011] In the forklift, preferably, The driving results of the driver during the driver's forklift driving time include the number of times a predetermined acceleration rate is exceeded and the number of times a predetermined deceleration rate is exceeded during the driving time.

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

[0013] In the forklift, preferably, The driving results of the driver during the driver's forklift driving time include the number of times the forklift was stopped during the driving time.

[0014] In the forklift, preferably, The driving results of the driver during the driver's forklift driving time include the number of times the forklift exceeded a predetermined acceleration rate and the number of times the forklift exceeded a predetermined deceleration rate, as well as the number of times the forklift stopped and the number of times it collided, during the driver's forklift driving time. The proficiency level determination unit has a trained model, The trained model has input data consisting of the driver's forklift operating time, the number of times a specified acceleration was exceeded, the number of times a specified deceleration was exceeded, the number of stops, and the number of collisions, and has previously been trained based on teacher data which outputs the driver's proficiency.The trained model is configured to output the driver's proficiency when the driver's forklift operating time, the number of times a specified acceleration was exceeded, the number of times a specified deceleration was exceeded, the number of stops, and the number of collisions are input.

[0015] In order to solve the above problems, the pedal weight change system according to the present invention comprises: A pedal weight changing system for use in a forklift equipped with at least one pedal selected from the group consisting of a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal, comprising: a driving memory unit that stores a forklift driving time of a driver and a driving result of the driver during the driving time; a proficiency level determination unit that determines a driver's proficiency level based on a correlation between a forklift driving time of the driver and a driving result of the driver relative to the driving time; a weight estimation unit that estimates an appropriate pedal weight for the driver based on the proficiency level determined by the proficiency determination unit; and a weight changing section for changing the pedal weight based on the estimated appropriate pedal weight of the driver.

[0016] In order to solve the above problems, a pedal weight estimation program according to the present invention comprises: At least one pedal selected from a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal; a weight changing unit that changes the weight of the pedal based on the estimated appropriate pedal weight; A pedal weight estimation program for use in a forklift comprising: The computer stores the forklift driving time of the driver and the driving results of the driver during the driving time, The pedal weight estimation program is a proficiency level determination unit that determines a driver's proficiency level based on a correlation between a forklift driving time of the driver and a driving result of the driver relative to the driving time; The skill determining unit is operated as a weight estimating unit that estimates an appropriate pedal weight for the driver based on the skill determined by the skill determining unit.

[0017] In order to solve the above problems, the forklift allocation system according to the present invention comprises: A forklift allocation system for use with a plurality of forklifts each having at least one pedal selected from the group consisting of a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal, The pedal weight of each forklift is different for each forklift. The forklift allocation system is A weight storage unit that stores the pedal weight of each forklift; a driving storage unit that stores a forklift driving time of each of a plurality of drivers and a driving result of each driver during the driving time in association with driver information; a proficiency determination unit that determines the proficiency of each driver based on a correlation between a forklift driving time of each driver and a driving result of each driver for the driving time; a weight estimation unit that estimates an appropriate pedal weight for each driver based on the proficiency of each driver determined by the proficiency determination unit; The system is provided with a selection section which refers to the appropriate pedal weight of each driver and the pedal weight of each forklift and selects a forklift having a pedal weight close to the appropriate pedal weight of each driver from among a plurality of forklifts. Effect of the Invention

[0018] The forklift according to the present invention allows the driver to ride the forklift with an appropriate pedal weight, and 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] FIG. 1 is a front view of a forklift according to a first embodiment of the present invention. [Diagram 2] FIG. 2 is a block diagram of the forklift shown in FIG. 1. [Diagram 3] This is a table showing the number of times a specified acceleration was exceeded (acceleration count), the number of times a specified deceleration was exceeded (deceleration count), the number of times the vehicle stopped, and the number of times the vehicle collided during each loading and unloading operation by the driver, which are stored in each memory unit of the control unit. [Figure 4] FIG. 11 is a diagram illustrating an operation of a skill level determination unit. [Diagram 5] FIG. 11 is a flow chart showing a flow of changing the pedal weight. [Figure 6] FIG. 5 is an overall view of a forklift allocation system according to a second embodiment of the present invention. [Figure 7] FIG. 7 is a block diagram of the forklift and management device shown in FIG. 6. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0020] (First embodiment) First, 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 with reference to the accompanying drawings.

[0021] Fig. 1 is a front view of a forklift 1 according to this embodiment. The forklift 1 is a battery-powered countertop 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. In addition, as shown in Fig. 2, the forklift 1 includes a weight changing unit 18, an acceleration / deceleration detection unit 19, a stop detection unit 20, a collision detection unit 21, and a control unit 30.

[0022] A plurality of wheels 10 are provided on all four sides of a vehicle body 11. A driver's seat 12 is provided on the vehicle body 11, and a 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 capable of being raised and lowered via the left and right masts 15, and the driver O raises and lowers the forks 16 to perform loading and unloading work.

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

[0026] The weight change unit 18 changes the weight of the pedal 14 when the driver O presses it down, based on the pedal weight estimated by a weight estimation unit 38 described later. The weight change unit 18 is configured, for example, by a device capable of adjusting the weight by hydraulic pressure, or a device capable of adjusting the weight by a spring.

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

[0028] Alternatively, the weight change unit 18 may be configured to change the magnitude of the power or braking force of each device responsive to the amount of depression force of the pedal 14, for example, based on the pedal weight estimated by the weight estimating unit 38. In this way, the weight change unit 18 effectively 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 wheels 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 stoppage detection unit 20 detects when the forklift 1 is stopped. An experienced forklift 1 switches between forward and reverse during loading and unloading work, i.e., stops traveling less frequently than a beginner. The purpose of the stoppage detection unit 20 is to detect the difference in the number of stops. Therefore, the stoppage in the present invention may be a complete stoppage, or may be a concept that includes stopping and switching between forward and reverse. When the stoppage detection unit 20 detects that the forklift 1 is stopped, it transmits a stoppage signal to the control unit 30.

[0031] The collision detection unit 21 detects a collision of the forklift 1. The collision detection unit 21 may be configured, for example, by 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 configured by a computer arranged inside the vehicle body 11, and has an arithmetic unit, a storage device, and a memory. The storage device stores a pedal weight estimation program that causes the computer to operate as a proficiency level 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 has a driver memory unit 31, a driver identification unit 32, a driving memory unit 33, a proficiency determination unit 36, a proficiency memory unit 37, a weight estimation unit 38, and a weight memory unit 39.

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

[0035] The driver identification unit 32 identifies the driver O by referring to the facial image generated by the camera 17 and the facial 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 storage unit 33 stores the forklift driving time of each of the multiple 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 a predetermined acceleration was exceeded and the number of times a predetermined deceleration was exceeded 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. The driving time of the forklift 1 of 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 a predetermined acceleration was exceeded and the number of times a predetermined deceleration was exceeded during the driving time, the number of stops, and the number of collisions.

[0037] As shown in FIG. 4, the skill level determination unit 36 ​​has a trained model 360.

[0038] The trained model 360 has been trained in advance based on teacher data in which the driving time of each driver O, the number of times a predetermined acceleration was exceeded, the number of times a predetermined deceleration was exceeded, the number of stops, and the number of collisions are input data, and the proficiency level is output data. The trained model 360 is configured to output the proficiency level of each driver O when the driving time of each driver O, the number of times a predetermined acceleration was exceeded, the number of times a predetermined deceleration was exceeded, the number of stops, and the number of collisions are input data.

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

[0040] Trained model 360 may output the proficiency level divided into multiple stages represented by integers, such as five stages, or may output the proficiency level as a real number including a decimal point, for example, between 1 and 5.

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

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

[0043] The weight estimation unit 38 estimates the appropriate pedal weight for the driver O based on the proficiency of the driver O. According to some data, the higher the proficiency of the driver O, the less likely he or she is to suddenly start, brake suddenly, or collide. Looking at this data from the opposite perspective, it can be said that the lower the proficiency of the driver O, the more likely he or she is to suddenly start, brake suddenly, or collide. Therefore, for example, the weight estimation unit 38 may estimate the appropriate pedal weight to be heavier for a driver O with a lower level of proficiency in order to reduce sudden starts, sudden braking, and collisions by the driver O with a lower level of proficiency.

[0044] Furthermore, if the driver information includes the age, sex, and weight of the driver O, the weight estimation unit 38 may refer to the driver information and estimate an appropriate pedal weight for the driver O based on the age, sex, and weight of the driver O in addition to the proficiency level. In this case, the weight estimation unit 38 may weight the pedal weight estimated by the weight estimation unit 38 in accordance with the proficiency level, age, sex, and weight, but is not limited to this. Furthermore, the pedal weight appropriate for the driver O estimated by the weight estimation unit 38 may not be an estimate of the weights of all the pedals equipped in the forklift 1. In other words, in this embodiment, the weight estimation unit 38 may estimate the pedal weight of at least one of the brake pedal, the accelerator pedal, and the inching pedal.

[0045] In addition, in the case of an inching pedal, the weight estimation unit 38 may estimate only the weight of the inching pedal until the clutch is put into a half-clutch state, or may estimate the pedal weight including the weight of the inching pedal until the inching pedal is fully depressed.

[0046] The weight storage unit 39 stores an appropriate pedal weight for each driver O in association with the 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 a pedal weight corresponding to the driver O identified by the driver identification unit 32, based on the appropriate pedal weight for each driver O stored in the weight memory unit 39.

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

[0049] (1) The forklift 1 stores in the driving memory unit 33 the driving time of each driver O, the number of times that the forklift 1 exceeded a predetermined acceleration, the number of times that the forklift 1 exceeded a predetermined deceleration, the number of times that the forklift 1 stopped, and the number of times that the forklift 1 collided (driving results) during this driving time (see S (step) 51 in Figure 5).

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

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

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

[0053] (5) Next, the forklift 1 stores the estimated appropriate pedal weight for each driver O in association with the driver information of each driver by the pedal weight storage unit 39. At this time, the appropriate pedal weight for 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 a database in the computer of the forklift 1.

[0054] (6) Next, the forklift 1 photographs the driver O using the camera 17, identifies the driver O using the driver identification unit 32 (see S56 in FIG. 5), and identifies an appropriate pedal weight corresponding to the identified driver O by referring to the pedal weight memory unit 39 (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] According to this flow, the forklift 1 automatically changes the weight of the pedal 14 in accordance with the proficiency of each driver O, and can provide the driver O with a more appropriate driving operation in accordance with the proficiency. The forklift 1 can prevent the driver O from suddenly depressing the pedal 14 by estimating the appropriate pedal weight to be heavier for a driver O with a lower level of proficiency. Also, the forklift 1 can reduce the burden of the driver O with a higher level of proficiency, which is caused by the operation of the pedal 14, by estimating the appropriate pedal weight to be lower for a driver O with a higher level of proficiency. A driver O with a higher level of proficiency works a larger amount of work in a given time, and as a result, there is a possibility that the driver O operates the pedal 14 more in a given time, so it may be useful to make the pedal weight lighter for a driver O with a higher level of proficiency.

[0057] Second embodiment Next, a forklift allocation system S according to a second embodiment of the present invention will be described. Note that the same components as those in the first embodiment will be given the same reference numerals, and the detailed description thereof will 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 of the forklifts 1. The forklift allocation system S is configured to assign each driver O to each of the plurality of forklifts 1 by the management device 4.

[0059] As in the first embodiment, each forklift 1 includes a plurality of wheels 10, a vehicle body 11, a driver's seat 12, a head guard 13, pedals 14, left and right masts 15, left and right forks 16, a camera 17, an acceleration / deceleration detection unit 19, a stoppage detection unit 20, a collision detection unit 21, and a control unit 30. As in the first embodiment, each forklift 1 is configured to perform cargo handling operations. However, unlike the forklift 1 of the first embodiment, each forklift 1 does not include a weight change unit 18. Also, the pedal weight of each forklift 1 is different for each forklift 1.

[0060] 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 captures an image of the face of the driver O and generates a facial image, similar to the first embodiment. The generated facial image is transmitted to the control unit 30.

[0062] As in the first embodiment, each forklift 1 detects the acceleration, deceleration, stopping, and collision of the forklift 1 using 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 a stop signal and a collision signal to the control unit 30.

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

[0064] As in the first embodiment, the driving memory unit 33 stores the forklift driving time of each of the multiple drivers O and the driving results of each driver O during that driving time in association with each driver information (driver No. in this embodiment). As in the first embodiment, the driving results include (a) the number of times a predetermined acceleration was exceeded and the number of times a predetermined deceleration was exceeded 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 stored forklift driving time of each of the multiple drivers O and the driving results of each driver O during the driving time to the management device 4 together with each driver information.

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

[0067] The general driving storage unit 40 stores the forklift driving times of the multiple drivers O received from each forklift 1 and the driving results of each driver O during the driving time in association with the driver information.

[0068] The proficiency determination unit 36 ​​has a trained model 360 similar to that of the first embodiment. The proficiency determination unit 36 ​​inputs the total driving time, the number of times a predetermined acceleration was exceeded, the number of times a predetermined deceleration was exceeded, the number of times a vehicle stopped, and the number of times a vehicle collided, of each driver O, which are stored in the overall driving memory unit 40, to the trained model 360, and outputs the proficiency of each driver O. The proficiency memory unit 37 stores the received proficiency in association with the driver information (in this embodiment, the driver No.).

[0069] The weight estimation unit 38 estimates an appropriate pedal weight for each driver O in the same manner as in the first embodiment based on the proficiency of each driver O. The weight storage unit 39 stores the appropriate pedal weight for each driver O in association with each driver information (driver No. in this embodiment).

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

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

[0072] Based on the results 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 closely as possible.

[0073] In this way, the forklift allocation system S matches the forklift 1 with the driver O based on the appropriate pedal weight for each driver O, thereby providing a pedal operation environment suitable for each driver O, thereby improving the efficiency of loading and unloading work and reducing the number of sudden starts, sudden stops, and collisions.

[0074] Although the embodiments of the forklift, pedal weight change system, pedal weight estimation program, and forklift allocation system according to the present invention have been described above, the present invention is not limited to the above-mentioned embodiments. The forklift, pedal weight change system, pedal weight estimation program, and forklift allocation system according to the present invention may be embodied in each of the following modified examples, or in appropriate combination of the modified examples.

[0075] <Modification> The forklift 1 may be a reach forklift. 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 may be configured to store, for example, the driving time of the driver O in a recent predetermined period and the driving results of the driver O during the driving time, and the proficiency determination unit 36 ​​may be configured to determine the proficiency of the driver O based on the correlation between the driving time of the driver O of the forklift 1 in the recent predetermined period and the driving results of the driver O for the driving time. In this way, for example, the proficiency of the driver O can be determined based on the correlation between the driving time of the driver O in the most recent month and the driving results of the driver O for the driving time in the most recent month. This makes it possible to determine the proficiency of the driver O excluding the driving results of the driver O in the past, and thereby to appropriately determine the current proficiency of the driver O.

[0077] In the above embodiment, the weight estimation unit 38 estimates the appropriate pedal weight for the driver O by referring to the proficiency level, but the appropriate pedal weight may be estimated by further referring to, for example, 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 input of a name or an 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 the driver information received by the input unit.

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

[0080] The proficiency assessment unit 36 ​​may not have the learned model 360, and may assess the proficiency of the driver O using 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 loading and unloading operation of the driver O.

[0081] The trained model 360 may not include, for example, the number of stops or collisions of the forklift 1 during each loading and unloading operation of each driver O as training data. In this case, the trained model 360 is configured to output a proficiency level when the number of times a predetermined acceleration was exceeded, the number of times a predetermined deceleration was exceeded, and the number of stops or collisions of the forklift 1 during each loading and unloading operation of each driver O are input. [Explanation of symbols]

[0082] H Helmet O Driver S Forklift Allocation System U uniform 1. Forklift 10 wheels 11 Body 12 Driver's seat 13 Head Guard 14 Pedals 15 Mast 16 Fork 17 Camera 18 Weight change section 19 Acceleration / deceleration detection section 20 Stopping detection unit 21 Collision detection unit 30 Control section 31 Driver memory unit 32 Driver Identification Department 33 Driving memory unit 36 Proficiency Assessment Section 360 trained models 37 Proficiency Memory Section 38 Weight Estimation Section 39 Weight memory section 4 Management device 40 General Operation Memory Section 41 Pedal memory section 42 Selection section

Claims

1. At least one pedal selected from a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal; a driving storage unit that stores a forklift driving time of a driver and a driving result of the driver during the driving time; a proficiency determination unit that determines a proficiency of the driver based on a correlation between a forklift driving time of the driver and the driving result of the driver relative to the driving time; a weight estimation unit that estimates an appropriate pedal weight for the driver based on the proficiency level determined by the proficiency level determination unit; and a weight changing 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 a total driving time of the driver.

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

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

5. The forklift according to claim 1 , wherein the driving results of the driver during the forklift driving time of the driver include a number of collisions of the forklift during the driving time.

6. The forklift according to claim 1 , wherein the driving results of the driver during the forklift driving time of the driver include a 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 a number of times a predetermined acceleration rate of the forklift was exceeded, a number of times a predetermined deceleration rate of the forklift was exceeded, and a number of times the forklift stopped and a number of times a collision occurred during the forklift driving time of the driver, The proficiency level determination unit has a trained model, The forklift according to claim 1, wherein the trained model learns in advance based on teacher data having as input data the driver's forklift operating time, the number of times a predetermined acceleration was exceeded, the number of times a predetermined deceleration was exceeded, the number of stops, and the number of collisions, and output data being the driver's proficiency, and is configured to output the driver's proficiency when the driver's forklift operating time, the number of times a predetermined acceleration was exceeded, the number of times a predetermined deceleration was exceeded, the number of stops, and the number of collisions are input.

8. A pedal weight changing system for use in a forklift equipped with at least one pedal selected from the group consisting of a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal, comprising: a driving storage unit that stores a forklift driving time of a driver and a driving result of the driver during the driving time; a proficiency determination unit that determines a proficiency of the driver based on a correlation between a forklift driving time of the driver and the driving result of the driver relative to the driving time; a weight estimation unit that estimates an appropriate pedal weight for the driver based on the proficiency level determined by the proficiency level determination unit; and a weight changing unit that changes the weight of the pedal based on the estimated appropriate pedal weight of the driver.

9. At least one pedal selected from a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal; a weight changing unit that changes the weight of the pedal based on the estimated appropriate pedal weight; A pedal weight estimation program for use in a forklift comprising: The computer includes: A forklift driving time of a driver and a driving result of the driver during the driving time are stored, The pedal weight estimation program includes: a proficiency determination unit that determines a proficiency of the driver based on a correlation between a forklift driving time of the driver and the driving result of the driver relative to the driving time; a pedal weight estimating program that operates as a weight estimating unit that estimates the appropriate pedal weight for the driver based on the proficiency determined by the proficiency determining unit.

10. A forklift allocation system for use with a plurality of forklifts each having at least one pedal selected from the group consisting of a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal, comprising: The pedal weight of each of the forklifts is different for each of the forklifts, The forklift allocation system includes: a weight storage unit that stores the pedal weight of each of the forklifts; a driving storage unit that stores a forklift driving time of each of a plurality of drivers and driving results of each of the drivers during the driving time; a proficiency determination unit that determines a proficiency of each of the drivers based on a correlation between the forklift driving time of each of the drivers and the driving result of each of the drivers with respect to the driving time; a weight estimation unit that estimates an appropriate pedal weight for each of the drivers based on the driver's proficiency determined by the proficiency determination unit; a selection unit that refers to the appropriate pedal weight of each of the drivers and the pedal weight of each of the forklifts and selects from the plurality of forklifts a forklift having a pedal weight that is close to the appropriate pedal weight of each of the drivers.

Images