Forklift, Pedal Weight Change System, and Pedal Weight Estimation Program

Abstract

To provide a forklift that automatically changes a weight of a pedal according to each driver.SOLUTION: A forklift 1 comprises: at least one pedal 14 of a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal; a driver storage unit 31; a driver specifying unit 32; and a weight changing unit 18. The driver storage unit 31 stores driver information about multiple drivers. The driver specifying unit 32 specifies the driver by referring to the driver information. The weight changing unit 18 changes a weight of the pedal 14 to an appropriate pedal weight for the specified driver on the basis of the appropriate pedal weight for each driver stored in a weight storage unit 39.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, and a pedal weight estimation program.

Background Art

[0002] Forklifts include types such as reach forklifts and counterbalance forklifts. The number and functions of the pedals of forklifts differ 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 counterbalance forklift includes an accelerator pedal and a brake pedal, and an engine-type counterbalance forklift further includes a clutch pedal. Among battery-type 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 forklift may be driven by a plurality of drivers with different levels of proficiency in turn. And, the difference in the pedal operation method for each driver due to the difference in proficiency is larger in a forklift than in 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 appropriate pedal weight every time they get on the vehicle.

Prior Art Documents

Patent Documents

[0006] Patent Document 1 Japanese Patent Application Laid-Open No. 2016-047759 Patent Document 2 Japanese Patent Application Laid-Open No. 2017-166663 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 that can automatically change the pedal weight according to each driver. Means for Solving the Problems

[0008] 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 driver storage unit that stores driver information of a plurality of drivers; a weight storage unit that stores the appropriate pedal weight of each driver in association with the driver information; a driver identification unit that refers to the driver information to identify the driver; a weight change unit that changes the weight of the pedal to the appropriate pedal weight corresponding to the identified driver based on the appropriate pedal weight of each driver stored in the weight storage unit.

[0009] The forklift preferably further includes: a proficiency storage unit that stores the proficiency of each driver in association with the driver information; a weight estimation unit that estimates the appropriate pedal weight of each driver based on the proficiency of each driver; The weight storage unit stores the estimated appropriate pedal weight of each driver in association with the driver information.

[0010] The forklift preferably further includes: An acceleration / deceleration memory unit that associates and stores the number of times the forklift exceeds a predetermined acceleration and the number of times it exceeds a predetermined deceleration during each handling operation of each driver with the driver information. A proficiency determination unit that determines the proficiency of each driver based on the stored number of times the forklift exceeds a predetermined acceleration and the number of times it exceeds a predetermined deceleration. The proficiency memory unit stores the determined proficiency of each driver in association with the driver information.

[0011] The forklift preferably A collision count memory unit that associates and stores the number of collisions of the forklift during each handling operation of each driver with the driver information. A proficiency determination unit that determines the proficiency of each driver based on the stored number of collisions. The proficiency memory unit stores the determined proficiency of each driver in association with the driver information.

[0012] The forklift preferably A stop count memory unit that associates and stores the number of stops of the forklift during each handling operation of each driver with the driver information. A proficiency determination unit that determines the proficiency of each driver based on the stored number of stops. The proficiency memory unit stores the determined proficiency of each driver in association with the driver information.

[0013] The forklift preferably An acceleration / deceleration memory unit that associates and stores the number of times the forklift exceeds a predetermined acceleration and the number of times it exceeds a predetermined deceleration during each handling operation of each driver with the driver information. A stop count memory unit that associates and stores the number of stops of the forklift during each handling operation of each driver with the driver information. A proficiency determination unit having a learned model. The learned model is pre - learned and stored based on teacher data that uses, as input data, the number of times the forklift exceeds a predetermined acceleration, the number of times it exceeds a predetermined deceleration, and the number of stops during each handling operation, and uses proficiency as output data. When the number of times the forklift exceeds a predetermined acceleration, the number of times it exceeds a predetermined deceleration, and the number of stops during each handling operation are input, it is configured to output the proficiency of the driver. The proficiency storage unit stores the output proficiency of each driver in association with driver information.

[0014] The above - mentioned forklift preferably has an acceleration - deceleration storage unit that stores, in association with driver information, the number of times the forklift exceeds a predetermined acceleration and the number of times it exceeds a predetermined deceleration during each handling operation of each driver, a collision - count storage unit that stores, in association with driver information, the number of collisions of the forklift during each handling operation of each driver, and a proficiency determination unit having a learned model. The learned model is pre - learned and stored based on teacher data that uses, as input data, the number of times the forklift exceeds a predetermined acceleration, the number of times it exceeds a predetermined deceleration, and the number of collisions during each handling operation, and uses proficiency as output data. When the number of times the forklift exceeds a predetermined acceleration, the number of times it exceeds a predetermined deceleration, and the number of collisions during each handling operation are input, it is configured to output the proficiency of the driver. The proficiency storage unit stores the output proficiency of each driver in association with driver information.

[0015] The above - mentioned forklift preferably has an acceleration - deceleration storage unit that stores, in association with driver information, the number of times the forklift exceeds a predetermined acceleration and the number of times it exceeds a predetermined deceleration during each handling operation of each driver, a stop - count storage unit that stores, in association with driver information, the number of stops of the forklift during each handling operation of each driver, A collision count storage unit that stores the number of collisions of a forklift during each handling operation of each driver in association with driver information; It further includes a proficiency determination unit having a learned model; The learned model is pre-learned based on teacher data that uses the number of times the forklift exceeds a predetermined acceleration, the number of times it exceeds a predetermined deceleration, the number of stops, and the number of collisions during each handling operation as input data and the proficiency as output data, and is configured to output the proficiency of the driver when the number of times the forklift exceeds a predetermined acceleration, the number of times it exceeds a predetermined deceleration, the number of stops, and the number of collisions during each handling operation that are input; The proficiency storage unit stores the proficiency of each output driver in association with the driver information.

[0016] The above forklift preferably The weight estimation unit estimates a more appropriate pedal weight as the proficiency is lower.

[0017] To solve the above problems, a 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 driver storage unit that stores driver information of a plurality of drivers; A weight storage unit that stores the appropriate pedal weight of each driver in association with the driver information; A driver identification unit that refers to the driver information and identifies the driver; And a weight change unit that changes the weight of the pedal to the appropriate pedal weight corresponding to the identified driver based on the appropriate pedal weight of each driver stored in the weight storage unit.

[0018] To solve the above problems, a pedal weight estimation program according to the present invention 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 presumed appropriate pedal weight, A computer, and a pedal weight estimation program used in a forklift, comprising: The computer stores the proficiency level of each driver in association with driver information, The pedal weight estimation program causes the computer to operate as a pedal weight estimation unit that estimates an appropriate pedal weight for the driver based on the proficiency level of the driver stored therein.

Advantages of the Invention

[0019] The forklift according to the present invention can automatically change the pedal weight according to each driver.

Brief Description of the Drawings

[0020]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Modes for Carrying Out the Invention

[0021] Hereinafter, an embodiment of a forklift, a pedal weight change system, and a pedal weight estimation program according to the present invention will be described with reference to the accompanying drawings.

[0022] Figure 1 is a front view of the forklift 1 according to the present embodiment. The forklift 1 is a battery-powered counterbalanced forklift. As shown in Figure 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 Figure 2), left and right masts 15, left and right forks 16, and a camera 17. Further, as shown in Figure 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.

[0023] The plurality of wheels 10 are provided on the 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.

[0024] The pedals 14 include an accelerator pedal, a brake pedal, and an inching pedal, and are provided at the lower part of the driver's seat 12.

[0025] 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.

[0026] The camera 17 is fixed to the head guard 13 and is configured to photograph the face of the driver O who gets 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 sitting 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.

[0027] 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 a 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.

[0028] Alternatively, 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 change the pedal weight substantially when the driver O steps on it.

[0029] Or, for example, the weight change unit 18 may be configured to change the magnitude of the driving force or the braking force of each device in response to the amount of depression of the pedal 14 based on the pedal weight estimated by the weight estimation unit 38. Thereby, the weight change unit 18 substantially changes the pedal weight.

[0030] The acceleration / deceleration detection unit 19 is a known acceleration / deceleration sensor that detects the acceleration and deceleration during each cargo handling operation of the forklift 1. In the present invention, the "during cargo handling operation" may be, for example, the running time from loading to unloading, or the time during loading and unloading may also be included in the cargo handling operation. The acceleration / deceleration detection unit 19 is composed of, 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 during each cargo handling operation of the forklift 1 and transmits the detected acceleration and deceleration to the control unit 30.

[0031] The stop detection unit 20 detects the number of stops of the forklift 1 during each cargo handling operation. An experienced operator of the forklift 1 makes fewer switches between forward and reverse in cargo handling operations, that is, fewer temporary stops in driving, than a beginner. The stop detection unit 20 aims to detect the difference in the number of stops. Therefore, in the present invention, the stop may be a complete stop or a concept including stops and switches between forward and reverse. When the stop detection unit 20 detects a stop of the forklift 1, it transmits a stop signal to the control unit 30.

[0032] The collision detection unit 21 detects a collision of the forklift 1 during each handling operation. 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 a collision is detected by the collision detection unit 21, a collision signal is transmitted to the control unit 30.

[0033] Note that, as a means for recognizing the start and end of the handling operation (i.e., during the handling operation), for example, the forklift 1 may further include a known load detection unit, and the load detection unit detects the time of loading the load, and sets the time of loading the load as the start time of the handling operation and the time of releasing the load as the end time of the handling operation. Alternatively, the forklift 1 may further include a handling start button and a handling end button, and recognize the start time and end time of the handling operation when the button is pressed. These are merely examples, and the concept of the start time and end time of the handling operation in the present invention and the method of recognizing them are not particularly limited.

[0034] 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 weight estimation unit 38 to be described later.

[0035] FIG. 2 is a functional 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, an acceleration / deceleration storage unit 33, a stop count storage unit 34, a collision count storage unit 35, a proficiency determination unit 36, a proficiency storage unit 37, a weight estimation unit 38, and a weight storage unit 39.

[0036] 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.

[0037] 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 33, the stop count memory unit 34, the collision count memory unit 35, the proficiency determination unit 36, the proficiency memory unit 37, the weight estimation unit 38, and the weight memory unit 39.

[0038] The acceleration / deceleration memory unit 33 stores, as needed, the number of times an acceleration exceeding a predetermined acceleration and the number of times a deceleration exceeding a predetermined deceleration are received during each loading / unloading operation of the forklift 1 for each driver O, in association with the driver information. FIG. 3 is a diagram showing, in tabular form, the number of times an acceleration exceeding a predetermined acceleration (acceleration count), the number of times a deceleration exceeding a predetermined deceleration (deceleration count), the stop count, and the collision count during each loading / unloading operation of the driver O stored in each memory unit of the control unit 30. As shown in FIG. 3, in the present embodiment, each memory unit of the control unit 30 stores, together with the driver No. of the driver O, the No. of each loading / unloading operation, the number of times an acceleration exceeding a predetermined acceleration, the number of times a deceleration exceeding a predetermined deceleration, the stop count, and the collision count.

[0039] Based on the stop signal received from the stop detection unit 20, the stop count memory unit 34 stores, as needed, the stop count of the forklift 1 during each loading / unloading operation of each driver O, in association with the driver information (in the present embodiment, the driver No.), as shown in FIG. 3.

[0040] Based on the collision signal received from the collision detection unit 21, the collision count memory unit 35 stores, as needed, the collision count of the forklift 1 during each loading / unloading operation of each driver O, in association with the driver information (in the present embodiment, the driver No.).

[0041] As shown in FIG. 4, the proficiency determination unit 36 has a learned model 360.

[0042] The learned model 360 has been pre-trained based on teacher data that uses, as input data, 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, and outputs, as output data, the proficiency level of each driver O. Then, when 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 are input, the learned model 360 is configured to output the proficiency level.

[0043] The learned model 360 may be configured, for example, as 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 configured with a learned model 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 a proficiency level corresponding to the vehicle type when the vehicle type is input.

[0044] The learned model 360 may output the proficiency level divided 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.

[0045] The proficiency determination unit 36 inputs 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 the driver O to the learned model 360, and causes the learned model 360 to output the proficiency level of the driver O. The output proficiency level is transmitted to the proficiency storage unit 37 and the weight estimation unit 38.

[0046] The proficiency storage unit 37 stores the received proficiency level in association with the driver information (driver No. in this embodiment).

[0047] The weight estimation unit 38 estimates an appropriate pedal weight for the driver O based on the proficiency of the driver O. According to certain data, it is said that the more proficient the driver O is, the fewer sudden accelerations, sudden brakes, and collisions there are. Looking at this data from the opposite perspective, it can be said that the less proficient the driver O is, the more sudden accelerations, sudden brakes, and collisions there are. Therefore, for example, in order to reduce sudden accelerations, sudden brakes, and collisions of the driver O with low proficiency, the weight estimation unit 38 may estimate a more appropriate pedal weight to be heavier for the driver O with lower proficiency.

[0048] Also, for example, if the driver information includes the age, gender, 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, gender, and weight of the driver O in addition to the proficiency. The weighting of proficiency, 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 estimated by the weight estimation unit 38 for the driver O 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.

[0049] 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.

[0050] The weight storage unit 39 stores an appropriate pedal weight for the driver O in association with the driver information (in this embodiment, the driver No.).

[0051] 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.

[0052] <Flow of Pedal Weight Change> Next, with reference to FIG. 5, the flow of changing the pedal weight of the forklift 1 will be described again.

[0053] (1) The forklift 1 identifies the driver O who gets on by the driver identification unit 32, and each detection unit detects at any time the number of times the forklift 1 exceeds a predetermined acceleration, the number of times it exceeds a predetermined deceleration, the number of stops, and the number of collisions due to the operation of the driver O during each handling operation, and stores them in each storage unit at any time (see S (step) 51 in FIG. 5).

[0054] (2) Next, the forklift 1 determines the proficiency level of each driver O by the proficiency determination unit 36 based on the number of times the forklift 1 exceeds a predetermined acceleration, the number of times it exceeds a predetermined deceleration, the number of stops, and the number of collisions due to the operation of the driver O stored (see S52 in FIG. 5).

[0055] (3) Next, the forklift 1 stores the proficiency level of each driver O in association with the driver information by the proficiency storage unit 37 (see S53 in FIG. 5). At this time, the proficiency level corresponding to each driver O is updated.

[0056] (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).

[0057] (5) Next, the forklift 1 stores the estimated appropriate pedal weight for each driver O in association with the driver information by the pedal weight storage 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 of the driver O is stored in the database in the computer of the forklift 1.

[0058] (6) Next, the forklift 1 photographs the driver O boarding the vehicle with 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 an appropriate pedal weight corresponding to the identified driver O (see S57 in FIG. 5).

[0059] (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).

[0060] 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 a lower proficiency. Also, the forklift 1 can reduce the burden on the pedal 14 operation of the driver O with a higher proficiency by estimating a more appropriate pedal weight to be lower for the driver O with a higher proficiency. Since the driver O with a higher proficiency has a larger amount of work in a predetermined time, and as a result, there is a possibility that the operation of the pedal 14 in the predetermined time is large, it may be useful to make the pedal weight lighter for the driver O with a higher proficiency.

[0061] As described above, one embodiment of the forklift, the pedal weight change system, and the pedal weight estimation program according to the present invention has been described, but the present invention is not limited to the above embodiment. The forklift, the pedal weight change system, and the pedal weight estimation program according to the present invention may be implemented, for example, according to each of the following modification examples, or may be implemented by appropriately combining each modification example.

[0062] <Modification Example> · The forklift 1 may be a reach-type forklift. Also, the forklift 1 may be an engine-type forklift. In this case, the pedal 14 may include a clutch pedal.

[0063] · In the above embodiment, the weight estimation unit 38 estimated an appropriate pedal weight with reference to the proficiency level. However, for example, an appropriate pedal weight may be estimated 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.

[0064] · The forklift 1 may include an input unit that accepts 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 the driver information received by the input unit.

[0065] · 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.

[0066] · 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.

[0067] · The proficiency storage unit 37 may store the proficiency level of each driver O input manually. Also, the proficiency level of each driver O may be determined by a person, and the proficiency storage unit 37 may store the determination result in association with the driver information. Further, if the proficiency levels of all drivers O are determined by a person, the control unit 30 may not have the proficiency determination unit 36.

[0068] · The appropriate pedal weight of each driver O input manually may be stored in the weight memory unit 39. Also, the appropriate pedal weight of each driver O may be estimated by a person, and the weight memory unit 39 may store the estimation result in association with the driver information. Further, if the appropriate pedal weight of all drivers O is estimated by a person, the control unit 30 may not have the weight estimation unit 38. Note that when the appropriate pedal weight of driver O is estimated by a person, the appropriate pedal weight may be estimated according to the proficiency level.

[0069] · The control unit 30 may be constituted by, for example, a server computer provided on the cloud. In this case, the forklift 1 may estimate the appropriate pedal weight for the driver O by communicating with this server computer.

[0070] · The learned model 360 may not include, for example, the number of forklift stops or collisions during each handling operation of each driver as teacher data. In this case, when the learned model 360 is input with the number of times the forklift 1 exceeds a predetermined acceleration, the number of times it exceeds a predetermined deceleration, and the number of stops or collisions during each handling operation of each driver O, it is configured to output the proficiency level.

Explanation of Signs

[0071] O Driver H Helmet 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 Stop Detection Unit 21 Collision Detection Unit 30 Control Unit 31 Driver Memory Unit 32 Driver Identification Unit 33 Acceleration / Deceleration Memory Unit 34 Parking Count Memory Unit 35 Collision Count Memory Unit 36 Proficiency Judgment Unit 360 Learned Model 37 Proficiency Memory Unit 38 Weight Estimation Unit 39 Weight Memory Unit

Claims

1. At least one pedal among a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal, and a driver memory unit that stores driver information of a plurality of drivers; a weight memory unit that stores the appropriate pedal weight of each said driver in association with the driver information; a driver identification unit that refers to the driver information and identifies the driver; a weight change unit; a proficiency memory unit that stores the proficiency of each said driver in association with the driver information; a weight estimation unit that estimates the appropriate pedal weight of each said driver based on the proficiency of each said driver, comprising: the weight memory unit stores the appropriate pedal weight of each estimated driver in association with the driver information; the weight change unit changes the weight of the pedal to the appropriate pedal weight corresponding to the identified driver based on the appropriate pedal weight of each said driver stored in the weight memory unit, a forklift.

2. an acceleration / deceleration memory unit that stores the number of times the forklift exceeds a predetermined acceleration and the number of times it exceeds a predetermined deceleration during each handling operation of each said driver in association with the driver information; a proficiency determination unit that determines the proficiency of each said driver based on the stored number of times exceeding the predetermined acceleration and the number of times exceeding the predetermined deceleration, further comprising: the proficiency memory unit stores the determined proficiency of each said driver in association with the driver information, the forklift according to Claim 1.

3. a collision frequency memory unit that stores the number of collisions of the forklift during each handling operation of each said driver in association with the driver information; a proficiency determination unit that determines the proficiency of each said driver based on the stored number of collisions, further comprising: the proficiency memory unit stores the determined proficiency of each said driver in association with the driver information, the forklift according to Claim 1.

4. a stop frequency memory unit that stores the number of stops of the forklift during each handling operation of each said driver in association with the driver information; a proficiency determination unit that determines the proficiency of each said driver based on the stored number of stops, further comprising: the proficiency memory unit stores the determined proficiency of each said driver in association with the driver information, the forklift according to Claim 1.

5. An acceleration / deceleration storage unit that stores, in association with the driver information, the number of times the forklift has exceeded a predetermined acceleration and the number of times it has exceeded a predetermined deceleration during each handling operation of each driver; A stop count storage unit that stores, in association with the driver information, the number of times the forklift has stopped during each handling operation of each driver; A proficiency determination unit having a learned model; and further comprising: The learned model is pre-learned and stored based on teacher data in which the number of times the predetermined acceleration is exceeded, the number of times the predetermined deceleration is exceeded, and the number of stops are input data and the proficiency is output data, and when the number of times the predetermined acceleration is exceeded, the number of times the predetermined deceleration is exceeded, and the number of stops are input, it is configured to output the proficiency of the driver. The proficiency storage unit stores the proficiency of each driver output in association with the driver information. The forklift according to claim 1.

6. An acceleration / deceleration storage unit that stores, in association with the driver information, the number of times the forklift has exceeded a predetermined acceleration and the number of times it has exceeded a predetermined deceleration during each handling operation of each driver; A collision count storage unit that stores, in association with the driver information, the number of times the forklift has collided during each handling operation of each driver; A proficiency determination unit having a learned model; and further comprising: The learned model is pre-learned and stored based on teacher data in which the number of times the predetermined acceleration is exceeded, the number of times the predetermined deceleration is exceeded, and the number of collisions are input data and the proficiency is output data, and when the number of times the predetermined acceleration is exceeded, the number of times the predetermined deceleration is exceeded, and the number of collisions are input, it is configured to output the proficiency of the driver. The proficiency storage unit stores the proficiency of each driver output in association with the driver information. The forklift according to claim 1.

7. An acceleration / deceleration storage unit that stores, in association with the driver information, the number of times the forklift has exceeded a predetermined acceleration and the number of times it has exceeded a predetermined deceleration during each handling operation of each driver; A stop count storage unit that stores, in association with the driver information, the number of times the forklift has stopped during each handling operation of each driver; A collision count storage unit that stores, in association with the driver information, the number of times the forklift has collided during each handling operation of each driver; It further includes a proficiency determination unit having a learned model. The learned model is pre-learned and stored based on teacher data that uses the number of times exceeding the predetermined acceleration, the number of times exceeding the predetermined deceleration, the number of stops, and the number of collisions as input data and the proficiency as output data. When the number of times exceeding the predetermined acceleration, the number of times exceeding the predetermined deceleration, the number of stops, and the number of collisions are input, it is configured to output the proficiency of the driver. The forklift according to claim 1, wherein the proficiency storage unit stores the proficiency of each output driver in association with the driver information.

8. The forklift according to claim 1, wherein the weight estimation unit estimates the appropriate pedal weight to be heavier as the proficiency is lower.

9. A pedal weight change system used in a forklift equipped with at least one pedal among a brake pedal, an accelerator pedal, a clutch pedal, and an inching pedal, A driver storage unit that stores driver information of a plurality of drivers; A weight storage unit that stores the appropriate pedal weight of each driver in association with the driver information; A driver identification unit that identifies the driver by referring to the driver information; A weight change unit; A proficiency storage unit that stores the proficiency of each driver in association with the driver information; It includes a weight estimation unit that estimates the appropriate pedal weight of each driver based on the proficiency of each driver. The weight storage unit stores the appropriate pedal weight of each estimated driver in association with the driver information. The weight change unit changes the weight of the pedal to the appropriate pedal weight corresponding to the identified driver based on the appropriate pedal weight of each driver stored in the weight storage unit. A pedal weight change system.

10. 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 proficiency of each driver in association with the driver information. The pedal weight estimation program is for the computer. A pedal weight estimation program that operates as a pedal weight estimation unit for estimating an appropriate pedal weight of the driver based on the proficiency of the driver stored.

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