Audible feedback device

Abstract

The invention relates to an audible feedback device, and particularly provides a stand-alone device for use with a cab of a transportation system. The stand-alone device includes a mount through which the stand-alone device is attachable to the cab body within an interior of the cab body, where the cab body is configured to travel between a first position and a second position and to house at least one person within the interior upon travel. The standalone device also includes a sensor configured to sense a position of the cab body, a speaker, and a processing board operatively coupled to the sensor and the speaker. The processing board is configured to determine a position of the cab body from sensing results of the sensors and control the speaker to auditory a description of the position to a person.

Description

Technical Field

[0001] The present disclosure relates to transportation systems, such as elevator systems, and in particular to systems that provide audible feedback to passengers. Background Art

[0002] In a transportation system such as an elevator system, a hoistway is constructed in a building, and the elevator car travels up and down the hoistway to reach the landing doors of different floors of the building. The elevator car is attached to one end of a suspension belt. A counterweight is attached to the other end of the suspension belt. The movement of the elevator car is driven by a machine that is controlled by a controller based on instructions received from users of the elevator system. When these instructions indicate that the elevator car should move up through the hoistway, the machine rotates in one direction, causing the elevator car to move up and the counterweight to move down. Conversely, when the instructions indicate that the elevator car should move down through the hoistway, the machine rotates in the opposite direction, causing the elevator car to move down and the counterweight to move up.

[0003] Although elevator cars can be used to transport people from one floor to another in a building, there are other types of conveyances that are used for other applications. These include, but are not limited to, cable cars and trams that can operate in a substantially similar manner to elevator cars. Summary of the invention

[0004] According to one aspect of the present disclosure, a standalone device is provided for use with a cab of a transportation system. The standalone device includes a mounting member, by which the standalone device can be attached to a cab body inside the cab body, and the cab body is configured to travel between a first position and a second position and accommodate at least one person inside while traveling. The standalone device also includes a sensor configured to sense the position of the cab body, a speaker, and a processing board operatively connected to the sensor and the speaker. The processing board is configured to determine the position of the cab body from the sensing results of the sensor, and control the speaker to audibly describe the position to the person.

[0005] According to additional or alternative embodiments, the standalone device further comprises a power supply for powering operation of at least the sensor, the speaker and the processing board.

[0006] According to additional or alternative embodiments, the standalone device further comprises an interface configured to interact with an operator at least for initiating a calibration operation.

[0007] According to additional or alternative embodiments, the calibration operation includes positioning calibration, numbering scheme setup, and option setup.

[0008] According to additional or alternative embodiments, the calibration operation is automated.

[0009] According to additional or alternative embodiments, for a case in which the body travels to at least a first position and a second position, the calibration operation includes a sensor sensing at least the first position and the second position when the cab body arrives there, and a processing board determining at least the first position and the second position of the cab body from the sensing results of the sensor, and generating a descriptive sonification based on the determination results.

[0010] According to additional or alternative embodiments, the description includes at least one or more of a digitized notice, a descriptive notice, and an instructional notice.

[0011] According to additional or alternative embodiments, the processing board comprises a processor configured to generate the description via a machine learning algorithm.

[0012] According to one aspect of the present disclosure, a transport system cab is provided, and the transport system cab includes a cab body and an independent device, the cab body defines an interior, and is configured to travel between a first position and a second position and accommodate one or more persons in the interior while traveling. The independent device includes: a mounting member, through which the independent device can be attached to the cab body in the interior; a sensor, the sensor configured to sense the position of the cab body; a speaker; and a processing board, the processing board is operatively connected to the sensor and the speaker. The processing board is configured to determine the position of the cab body from the sensing result of the sensor, and control the speaker to audibly describe the position to the person.

[0013] According to additional or alternative embodiments, the cab body is at least one of an elevator car configured to travel between floors of a building in a hoistway, a cable car configured to travel laterally along a line, and a tram configured to travel laterally along a track.

[0014] According to additional or alternative embodiments, the standalone device further comprises a power supply for powering operation of at least the sensor, the speaker and the processing board.

[0015] According to additional or alternative embodiments, the standalone device further comprises an interface configured to interact with an operator at least for initiating a calibration operation.

[0016] According to additional or alternative embodiments, the calibration operation includes positioning calibration, numbering scheme setup, and option setup.

[0017] According to additional or alternative embodiments, the calibration operation is automated.

[0018] According to additional or alternative embodiments, the calibration operation includes the cab body traveling to at least a first position and a second position, the sensor sensing at least the first position and the second position when the cab body arrives there, and the processing board determining at least the first position and the second position of the cab body from the sensing results of the sensor and generating a descriptive sonification based on the determination results.

[0019] According to additional or alternative embodiments, the description includes at least one or more of a digitized notice, a descriptive notice, and an instructional notice.

[0020] According to additional or alternative embodiments, the processing board comprises a processor configured to generate the description via a machine learning algorithm.

[0021] According to one aspect of the present disclosure, a method for converting a cab of a transportation system is provided. The method includes installing an independent device to a cab body inside the cab body, driving the cab body to travel between a first position and a second position, determining a position of the cab body from a sensing result of a sensor of the independent device, and controlling a speaker of the independent device to audibly describe the position.

[0022] According to additional or alternative embodiments, the method further comprises performing a calibration operation comprising driving the cab body to travel to at least a first position and a second position, sensing at least the first position and the second position when the cab body arrives there, determining at least the first position and the second position of the cab body from the sensed results, and generating a sonification of the description based on the determination results.

[0023] According to additional or alternative embodiments, the description includes at least one or more of a digitized notice, a descriptive notice, and an instructional notice, and the method further includes generating the description via a machine learning algorithm.

[0024] According to one aspect of the present disclosure, a method of operating a mobile application for use with a cab body of a transportation system is provided. The method can be performed by a mobile computing device that can be disposed in an interior of the cab body, and includes recording a schematic diagram of the transportation system, identifying discrete locations of the transportation system from the schematic diagram, generating a description of each discrete location, determining that the mobile computing device is in the interior of the cab body and determining the location of the cab body in the transportation system, and if the mobile computing device is in the interior of the cab body and the location of the cab body is one of the discrete locations, sonifying the description of one of the discrete locations.

[0025] According to additional or alternative embodiments, the transportation system includes at least one of an elevator system, a cable car system, and a tram system, in which the elevator system has a cab body that is an elevator car configured to travel between floors of a building in a hoistway, in which the cable car system has a cab body that is a cable car configured to travel laterally along a line, and in which the tram system has a cab body that is a tram configured to travel laterally along a track.

[0026] According to additional or alternative embodiments, the method further comprises downloading a schematic diagram of the transport system.

[0027] According to additional or alternative embodiments, identifying the discrete locations includes at least one of identifying the discrete locations directly from the schematic diagram, receiving input identifying the discrete locations, and executing a machine learning algorithm.

[0028] According to additional or alternative embodiments, determining the position of the cab body includes at least one of sensing the position of the cab body, receiving a signal corresponding to the position of the cab body, and receiving an input corresponding to the position of the cab body.

[0029] Additional features and advantages are achieved through the technology of the present disclosure. Other embodiments and aspects of the present disclosure are described in detail herein and are considered to be part of the claimed technical concept. In order to better understand the present disclosure with advantages and features, reference is made to the description and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] For a more complete understanding of the present disclosure, reference is now made to the following brief description taken in conjunction with the accompanying drawings and detailed description, wherein like reference numerals represent like parts:

[0031] Figure 1 is a perspective view of an elevator system according to an embodiment;

[0032] Figure 2 is a schematic illustration of a main body of a cab of an elevator car in a hoistway according to an embodiment;

[0033] Figure 3 is a schematic illustration of a main body of a cab of a cable car on a line according to an embodiment;

[0034] Figure 4 is a schematic illustration of a main body of a cab of a tram on a track according to an embodiment;

[0035] Figure 5 According to the embodiment Figure 2-4 Schematic diagram of the independent device of the cab;

[0036] Figure 6 According to the embodiment Figure 5 A schematic diagram of a processing board of a stand-alone device;

[0037] Figure 7 is a flow chart illustrating a method of retrofitting a cab with a stand-alone device according to an embodiment; and

[0038] Figure 8 is a flow chart illustrating a method of operating a mobile application for use with a cab body of a transportation system according to an embodiment. DETAILED DESCRIPTION

[0039] Recent feedback from the visually impaired community overwhelmingly indicates that a problem with some elevators is that they do not have audible feedback to indicate floor location. Also, it has been found that visually impaired individuals may have difficulty counting tones to determine if they have reached their destination floor. This is particularly true for elevator systems with multiple groups where elevators do not serve all floors (e.g., elevators serving the lobby and floors 9-16) and where certain floors are skipped in the numbering scheme (e.g., floor 13). Similar problems exist in other types of transportation vehicles, such as, but not limited to, cable cars and trams.

[0040] Therefore, as will be described below, an independent edge computing device is provided. The device can be calibrated to understand and audibly announce (i.e., hereinafter referred to as "sonification") the floor location or position in some other structure of a site, building or personnel that needs to move or pass through. The device may include a mounting device (e.g., magnetic, adhesive, fastener, etc.) that can be retrofitted to the cab, an accelerometer, a processor that is programmed to convert the accelerometer input into a positioning signal and has stored voice tones for the numbers 0, 1, 2, 3, 4, etc. and basic words such as parking, ground, lobby, etc., a speaker that can be actuated by the processor, and a power supply in the form of a battery, a USB charging port and / or a power supply in the cab. The device may be wired or wireless. In addition, the device may include an interface to a smart phone or a set of simple buttons that can be used to calibrate the floor location, set the numbering scheme, and set options such as advanced or delayed voice tones. If the elevator (or other type of conveyance) is set to stop at each floor during the calibration run, the device can be set to an automatic calibration mode to learn the floor location at each stop of the elevator (or other type of conveyance). Additionally, the device may receive an external signal from the platform (such as from a permanent magnet) at certain floors or locations that may re-zero the calibration, particularly for taller applications and / or bumpier rides where accelerometer drift is possible.

[0041] refer to Figure 1 , Figure 11 is a perspective view of an elevator system 101, which includes an elevator car 103, a counterweight 105, one or more tension members 107, a guide rail 109, a machine 111, a positioning reference system 113, and a controller 115. The elevator car 103 and the counterweight 105 are connected to each other by the tension member 107. The tension member 107 may include or be configured as, for example, a rope, a coated rope, a steel cable, and / or a coated steel belt. The counterweight 105 is configured to balance the load of the elevator car 103 and is configured to facilitate the movement of the elevator car 103 along the guide rail 109 and within the hoistway 117 simultaneously and in opposite directions relative to the counterweight 105.

[0042] Tension member 107 engages machine 111, which is part of the overhead structure of elevator system 101. Machine 111 is configured to control movement between elevator car 103 and counterweight 105. Positioning reference system 113 may be mounted on a fixed portion at the top of hoistway 117, such as on a support or rail, and may be configured to provide positioning signals related to the positioning of elevator car 103 within hoistway 117. In other embodiments, positioning reference system 113 may be mounted directly to the moving parts of machine 111, or may be located in other locations and / or configurations known in the art. Positioning reference system 113 may be any device or mechanism for monitoring the positioning of an elevator car and / or counterweight, as known in the art. For example, but not limited to, positioning reference system 113 may be an encoder, sensor, or other system, and may include speed sensing, absolute positioning sensing, etc., as will be understood by those skilled in the art.

[0043] As shown, the controller 115 may be located in a controller room 121 of the hoistway 117 and configured to control the operation of the elevator system 101, and in particular the operation of the elevator car 103. It should be appreciated that the controller 115 need not be in the controller room 121, but may be in the hoistway or other locations in the elevator system. For example, the controller 115 may provide drive signals to the machine 111 to control the acceleration, deceleration, leveling, stopping, etc. of the elevator car 103. The controller 115 may also be configured to receive positioning signals from the positioning reference system 113 or any other desired positioning reference device. When moving up or down in the hoistway 117 along the guide rail 109, the elevator car 103 may stop at one or more platforms 125 as controlled by the controller 115. Although shown in the controller room 121, those skilled in the art will appreciate that the controller 115 may be located and / or configured in other locations or locations within the elevator system 101. In one embodiment, the controller 115 may be remotely located, or located in a distributed computing network (e.g., a cloud computing architecture). The controller 115 may be implemented using a processor-based machine such as a personal computer, a server, a distributed computing network, or the like.

[0044] The machine 111 may include a motor or similar drive mechanism. According to an embodiment of the present disclosure, the machine 111 is configured to include an electric drive motor. The power source of the motor may be any power source, including the electrical grid, which is combined with other components and supplied to the motor. The machine 111 may include a traction sheave that applies force to the tension member 107 to move the elevator car 103 within the hoistway 117.

[0045] Although a rope system including tension member 107 is shown and described, elevator systems that employ other methods and mechanisms for moving an elevator car within an elevator shaft may employ embodiments of the present disclosure. For example, embodiments may be employed in ropeless elevator systems that use linear motors to impart motion to the elevator car. Embodiments may also be employed in ropeless elevator systems that use hydraulic lifts to impart motion to the elevator car. Figure 1 These are non-limiting examples presented for purposes of illustration and explanation only. In other embodiments, the system includes a transportation system that moves passengers between floors and / or along a single floor. Such transportation systems may include escalators, people movers, etc. Thus, the embodiments described herein are not limited to elevator systems, such as Figure 1 The elevator system shown.

[0046] The elevator system 101 also includes one or more elevator doors 104. The elevator doors 104 may be integrally attached to the elevator car 103, or the elevator doors 104 may be located on a platform 125 of the elevator system 101, or both. The embodiments disclosed herein may be applicable to elevator doors 104 that are integrally attached to the elevator car 103 or elevator doors 104 that are located on a platform 125 of the elevator system 101, or both. The elevator doors 104 open to allow passengers to enter or exit the elevator car 103.

[0047] Continue to refer Figure 1 And also refer to Figure 2-4 and Figure 5 , a standalone device 201 is provided. The standalone device 201 includes a mounting member 210 and a cab body 211, the cab body 211 being formed to define an interior in which one or more persons (i.e., passengers) may be accommodated. The mounting member 210 is used to mount the standalone device 201 to the cab body 211 in an interior 212. As used herein, the term "interior" may include the interior or exterior of a car operating panel (COP), wherein the mounting member 210 is in front of or behind a COP door. The mounting member 210 may include or be configured as at least one or more of a magnetic mounting member, an adhesive, and a fastener. The cab body 211 may include or be configured as a cab of an elevator car, such as Figure 1 Elevator car 103 (see Figure 2 ), or as a cable car 301 traveling along line 302 (see Figure 3), or as a tram 401 traveling along a track 402 (see Figure 4 ), or as any other similar and / or suitable cab body. In any case, cab body 211 (hereinafter, the following description will refer to the case where independent device 201 is provided in cab body 211, wherein cab body 211 is elevator car 103; this is done for the purpose of clarity and brevity, and should not in any way otherwise limit the scope of the present application or claims) is configured to travel between a first location and a second location (i.e., a first and second floor or platform of a building), and to accommodate personnel in interior 212 while traveling.

[0048] like Figure 5 As shown in , the independent device 201 also includes a sensor 510, a speaker 520, and a processing board 530 configured to sense the position of the cab body 211. The sensor 510 can be configured as any type of sensor, including but not limited to a Hall effect sensor, an electromagnetic or inductive sensor, a LiDAR sensor, a radar sensor, and a camera. The independent device 201 may also include a power supply 540 and an interface 550. The processing board 530 is operatively connected to each of the sensor 510, the speaker 520, the power supply 540, and the interface 550. The power supply 540 is configured to power the operation of at least the sensor 510, the speaker 520, the processing board 530, and the interface 550, and can be configured as a battery, a rechargeable battery, and / or a wired or wireless connection to the power supply of the cab body 211 or grid power.

[0049] refer to Figure 6 , the processing board 530 may include a processor 531, a memory 532, and an input / output (I / O) unit 533, through which the processor 531 communicates with the sensor 510, the speaker 520, the power supply 540, and the interface 550. The memory 532 has executable instructions stored thereon, which can be read and executed by the processor 531. When these executable instructions are read and executed by the processor 531, the executable instructions cause the processor 531 to operate as described herein. For example, the processing board 530 as a whole can be configured to determine the position of the cab body 211 from the sensing results of the sensor 510, and control the speaker 520 to audibly describe the position to the personnel accommodated in the interior 212.

[0050] According to an embodiment, the description audible by the speaker 520 may include at least one or more of the following: a digital announcement (i.e., a floor number when the cab body 211 arrives at that particular floor), a descriptive announcement (i.e., a term such as "garage" when the cab body 211 arrives at a location or floor that does not have a digital identifier), and an instructional announcement when a person needs to be directed from one elevator to another (i.e., a phrase such as "go left to the elevator serving floors 10-20"). In any case, the processor 531 of the processing board 530 may be further configured to generate the description from a stored file 5321 and / or generate the description from a generated file 5322 generated via a machine learning algorithm 5323 stored on the memory 532. That is, the operator may create various descriptions for locations that the cab body 211 is expected to arrive at during operational use, and these descriptions may be stored as the file 5321. Additionally or alternatively, the processor 531 may generate the description into a generated file 5322 over time via a machine learning algorithm 5323 (i.e., by mapping records of persons getting on / off the cab body 211, by accessing an online library, etc.).

[0051] According to an embodiment, the interface 550 may be configured to interact with an operator, at least for initiating a calibration operation that may be performed manually or automatically. In any case, the calibration operation may include a positioning calibration operation for learning and calibrating a floor positioning or position, a numbering scheme establishment for learning and calibrating numbering items associated with the floor positioning or position, and an option establishment for advancing or delaying a voice tone to be emitted by the speaker 520. In an exemplary instance, for a case in which the cab body 211 travels to at least a first position and a second position, the calibration operation may include at least one or more of the following operations: the cab body 211 travels to at least a first position and a second position, the sensor 510 senses at least the first position and the second position when the cab body 211 arrives there, and the processing board 530 determines at least the first position and the second position of the cab body 211 from the sensing results of the sensor 510, and generates a descriptive sonification based on the determination results.

[0052] According to an embodiment, the sensor 510 may sense at least the first position and the second position by various methods as described above, and the processing board 530 may determine at least the first position and the second position of the cab body 211 from the sensing results of the sensor 510 by similarly varied methods. These include, for example, double integration of the signal of the sensor 510 to derive the positioning of the cab body 211.

[0053] In the exemplary case of an elevator system serving a multi-story building, an automated calibration operation may initiate a call to all floors of the multi-story building starting from the bottom floor. For example, where the sensor 510 is an accelerometer, the accelerometer data may be recorded by the processing board 530, whereby the processor 531 may determine the floor height based on acceleration, velocity, and time and the sequential floor number. Once the calibration operation for all floors of the multi-story building is completed, each floor is associated with an appropriate audible output.

[0054] refer to Figure 7 , a modified car (such as provided as Figure 1 Method 700 of elevator car 103. Figure 7 As shown in , method 700 includes installing an independent device to a cab body inside the cab body (block 701), driving the cab body to travel between a first position and a second position (block 706), sensing the first position and the second position when the cab body reaches there (block 707), determining the position of the cab body from the sensing result of the sensor of the independent device (block 708), and controlling the speaker of the independent device to audibly describe the position (block 709). Method 700 may also include performing a calibration operation after the installation of the independent device in block 701 and before the driving in block 706. Figure 7 As shown in , the calibration operation may include driving the cab body to at least a first position and a second position (block 702), sensing at least the first position and the second position when the cab body arrives there (block 703), determining at least the first position and the second position of the cab body from the sensed result (block 704), and generating sonification of the description according to the determination result (block 705). As mentioned above, the description may include at least one or more of a digitized announcement, a descriptive announcement, and an instructional announcement, and the method 700 may further include generating the description via a machine learning algorithm (block 7051).

[0055] refer to Figure 8, for the case where the stand-alone device 201 is not installed in the cab body 211, a method 800 is provided as a method of operating a mobile application for use with a cab body of a transportation system. The transportation system may include, for example, at least one or more of an elevator system, a cable car system, and a tram system, in which the car body is an elevator car configured to travel between floors of a building in a hoistway, in a cable car system, the car body is a cable car configured to travel laterally along a line, and in a tram system, the car body is a tram configured to travel laterally along a track. The method 800 can be performed by a mobile computing device that can be set in the interior of the cab body. The method 800 includes downloading (if any) a schematic diagram of the transportation system (block 801), recording the schematic diagram (block 802), identifying discrete locations of the transportation system from the schematic diagram (block 803), and generating a description of each discrete location (block 804). According to an embodiment, the identification of block 803 may include at least one or more of the following: identifying the discrete location directly from the schematic diagram, receiving input to identify the discrete location, and executing a machine learning algorithm.

[0056] The method 800 also includes determining a location of the mobile computing device within the interior of the cab body and the cab body within the transport system (block 805), and, if the mobile computing device is within the interior of the cab body and the location of the cab body is one of the discrete locations, sonifying a description of one of the discrete locations (block 806). Depending on the embodiment, the determination of the location of the cab body of block 805 may include at least one or more of: sensing the location of the cab body, receiving a signal corresponding to the location of the cab body, and receiving an input corresponding to the location of the cab body.

[0057] The technical effect and benefit of the present disclosure is to provide a standalone edge computing device with improved accessibility for certain elevator systems where the elevators have not yet been modernized. The standalone device has a lower cost to modernize than a fixed device, can be used with a brand-agnostic controller, and has the ability to work in vertical, diagonal, or horizontal directions (e.g., for cable cars or trams).

[0058] The corresponding structures, materials, actions and equivalents of all means or steps plus functional elements in the claims below are intended to include any structure, material or action for performing functions in combination with other claimed elements as specifically claimed. The description of the present disclosure has been presented for the purpose of illustration and description, but is not intended to be exhaustive or limited to the technical concepts of the disclosed form. Without departing from the scope and spirit of the present disclosure, many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to best explain the principles and practical applications of the present disclosure, and to enable other persons of ordinary skill in the art to understand the present disclosure of various embodiments with various modifications suitable for the intended specific use.

[0059] While the preferred embodiment of the disclosure has been described, it will be understood that those skilled in the art, both now and in the future, may make various improvements and enhancements which fall within the scope of the appended claims. These claims should be construed to maintain the proper protection for the disclosure first described.

Claims

1. A stand-alone device for use with a cab of a transport system, the stand-alone device comprising: a mounting by which the self-contained device is attachable to an interior of a cab body, the cab body being configured to travel between a first position and a second position and to accommodate at least one person in the interior while traveling; a sensor configured to sense a position of the cab body; speaker; and a processing board operatively coupled to the sensor and the speaker, The processing board is configured to determine the position of the cab body from the sensing result of the sensor, and control the speaker to aurally describe the position to the person.

2. The stand-alone device of claim 1 further comprising a power supply for powering operation of at least the sensor, the speaker, and the processing board.

3. The stand-alone device according to claim 1 further comprising an interface configured to interact with an operator at least for initiating a calibration operation.

4. The stand-alone device according to claim 3, wherein: The calibration operation includes positioning calibration, numbering scheme establishment and option establishment.

5. The stand-alone device according to claim 3, wherein: The calibration operation is automated.

6. The stand-alone device according to claim 3, wherein: For the case where the body travels to at least the first position and the second position, the calibration operation comprises: the sensor senses at least the first position and the second position when the cab body reaches therein; and The processing board determines at least the first position and the second position of the cab body from the sensing results of the sensors, and generates sonification of the description according to the determination results.

7. The stand-alone device according to claim 1, wherein: The description includes at least one or more of a digital notice, a descriptive notice, and an instructional notice.

8. The stand-alone device according to claim 1, wherein: The processing board includes a processor configured to generate the description via a machine learning algorithm.

9. A transport system cab, comprising: a cab body defining an interior and configured to travel between a first position and a second position and to accommodate one or more persons in the interior while traveling; A stand-alone device comprising: a mounting by which the self-contained device can be attached to the cab body in the interior; a sensor configured to sense a position of the cab body; Speakers; and a processing board operatively coupled to the sensor and the speaker, The processing board is configured to determine the position of the cab body from the sensing result of the sensor, and control the speaker to aurally describe the position to the person.

10. The cab according to claim 9, wherein: The cab body is at least one of an elevator car configured to travel between floors of a building in a hoistway, a cable car configured to travel laterally along a line, and a tram configured to travel laterally along a track.

11. The cab according to claim 9, wherein: The standalone device also includes a power supply for powering operation of at least the sensor, the speaker, and the processing board.

12. The cab according to claim 9, wherein: The stand-alone device also includes an interface configured to interact with an operator at least for initiating a calibration operation.

13. The cab according to claim 12, wherein: The calibration operation includes positioning calibration, numbering scheme establishment and option establishment.

14. The cab according to claim 12, wherein: The calibration operation is automated.

15. The cab according to claim 12, wherein: The calibration operation includes: The cab body travels to at least the first position and the second position; the sensor senses at least the first position and the second position when the cab body reaches therein; and The processing board determines at least the first position and the second position of the cab body from the sensing results of the sensors, and generates sonification of the description according to the determination results.

16. The cab according to claim 9, wherein: The description includes at least one or more of a digital notice, a descriptive notice, and an instructional notice.

17. The cab according to claim 9, wherein: The processing board includes a processor configured to generate the description via a machine learning algorithm.

18. A method for retrofitting a cab of a transportation system, the method comprising: mounting a separate device to the cab body within the cab body; driving the cab body to move between a first position and a second position; determining the position of the cab body from the sensing results of the sensors of the independent device; as well as A speaker of the stand-alone device is controlled to aurally describe the location.

19. The method of claim 18, further comprising performing a calibration operation, the calibration operation comprising: driving the cab body to at least the first position and the second position; sensing at least the first position and the second position when the cab body reaches therein; determining at least the first position and the second position of the cab body from the sensing result; as well as The sonified description is generated according to the determination result.

20. The method of claim 18, wherein: The description includes at least one or more of a digital notice, a descriptive notice, and an instructional notice, and The method also includes generating the description via a machine learning algorithm.

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