CN111199593A - Taxi attendance scheduling management method - Google Patents

Taxi attendance scheduling management method Download PDF

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Publication number
CN111199593A
CN111199593A CN202010023762.9A CN202010023762A CN111199593A CN 111199593 A CN111199593 A CN 111199593A CN 202010023762 A CN202010023762 A CN 202010023762A CN 111199593 A CN111199593 A CN 111199593A
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China
Prior art keywords
module
voice
taxi
scheduling management
driver
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CN202010023762.9A
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Chinese (zh)
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黄长权
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Guangzhou Zhiti Technology Co ltd
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Guangzhou Zhiti Technology Co ltd
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Priority to CN202010023762.9A priority Critical patent/CN111199593A/en
Publication of CN111199593A publication Critical patent/CN111199593A/en
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
    • G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00—Speaker identification or verification techniques
    • G10L17/22—Interactive procedures; Man-machine interfaces
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223—Execution procedure of a spoken command

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Computational Linguistics (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Traffic Control Systems (AREA)
  • Telephonic Communication Services (AREA)

Abstract

The invention discloses a taxi attendance scheduling management method, which is applied to a taxi attendance scheduling management system, wherein the taxi attendance scheduling management system comprises a taxi terminal, a voice receiving module and a voice recognition module are integrated on the taxi terminal, the voice recognition module is connected with the voice receiving module, and the taxi attendance scheduling management method comprises the following steps: A) the voice receiving module receives a voice instruction of a driver; B) the voice receiving module sends a voice instruction of the driver to the voice recognition module, and the voice recognition module recognizes the semantic meaning of the voice instruction of the driver; C) matching the operation flow corresponding to the semantics through the big data; D) and executing a card punching process or a vehicle captain voice interaction process. The taxi attendance scheduling management method has the following beneficial effects: the driver and the captain interact without the help of a mobile phone or manual operation.

Description

Taxi attendance scheduling management method
Technical Field
The invention relates to the field of taxi attendance scheduling, in particular to a taxi attendance scheduling management method.
Background
With the rapid development of national economy in China, the social progress and the improvement of the living standard of people, favorable conditions are created for the development of the taxi industry. The number of urban taxis has increased rapidly in recent years, but the relative lag in industry management has brought about various disadvantages. In addition, in recent years, the number of taxi robbery cases is increased remarkably, and the serious threat is caused to the personal safety and property of drivers. In the prior art, taxi terminals can only realize a face card-punching function, cannot communicate with a captain in real time, and can only be in WeChat contact through a mobile phone in real-time scheduling management, which is very inconvenient.
Disclosure of Invention
The invention aims to solve the technical problem of providing a taxi attendance scheduling management method which is operated by a driver and a fleet leader without the help of a mobile phone or a manual operation aiming at the defects in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: a taxi attendance scheduling management method is constructed and applied to a taxi attendance scheduling management system, the taxi attendance scheduling management system comprises a taxi terminal, a voice receiving module and a voice recognition module are integrated on the taxi terminal, the voice recognition module is connected with the voice receiving module, and the taxi attendance scheduling management method comprises the following steps:
A) the voice receiving module receives a voice instruction of a driver;
B) the voice receiving module sends a voice instruction of the driver to the voice recognition module, and the voice recognition module recognizes the semantic meaning of the voice instruction of the driver;
C) matching the operation flow corresponding to the semantics through the big data;
D) and executing a card punching process or a vehicle captain voice interaction process.
In the taxi attendance scheduling management method of the invention, the taxi terminal is further integrated with a voice playing module and a voice voiceprint verification module, the voice voiceprint verification module is connected with the voice receiving module, the voice playing module is connected with the voice voiceprint verification module, and the card-punching process comprises the following steps:
D1) the voice voiceprint verification module judges whether the current voiceprint in the voice instruction of the driver is matched with a preset voiceprint, if so, the step D2 is executed; otherwise, performing step D3);
D2) the card punching is successful, and the voice broadcasting module plays the card punching successfully;
D3) and if the card punching fails, the voice broadcasting module plays the card punching failure.
In the taxi attendance scheduling management method of the invention, the taxi terminal is further integrated with a wireless communication module, the wireless communication module is connected with the voice receiving module, and the voice interaction process with the fleet leader comprises the following steps:
d1') the voice receiving module sends the received voice command of the driver to a server in real time through the wireless communication module;
d2'), the server pushes the voice content to the captain APP terminal.
In the taxi attendance scheduling management method of the present invention, the taxi attendance scheduling management system further includes a detection module and a feedback module, the detection module is connected to the voice recognition module, the feedback module is connected to the detection module, and the taxi attendance scheduling management method further includes the steps of:
a') the voice receiving module receives voice information of a driver and passengers;
b') the voice recognition module recognizes voice information of the driver and the passenger;
c ') the detection module detects whether the load rejection exists, if yes, the step D') is executed; otherwise, executing step E');
d') the feedback module feeds back the rejection information to the background and the captain APP terminal;
e') the feedback module feeds back the normal passenger information to the background and the APP end of the captain.
In the taxi attendance scheduling management method, the wireless communication module is any one or combination of any more of a 5G communication module, a 4G communication module, a Bluetooth module, a WiFi module, a GSM module, a CDMA2000 module, a WCDMA module, a TD-SCDMA module, a Zigbee module and a LoRa module.
In the taxi attendance scheduling management method, the chief of the taxi APP terminal is an intellectual trip APP.
The taxi attendance scheduling management method has the following beneficial effects: the voice receiving module is arranged to receive the voice instruction of the driver; the voice receiving module sends a voice instruction of the driver to the voice recognition module, and the voice recognition module recognizes the semantic meaning of the voice instruction of the driver; matching the operation flow corresponding to the semantics through the big data; the method and the system execute a card punching process or a voice interaction process with the captain, and a driver and the captain interact without the help of a mobile phone or manual operation.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a taxi terminal in an embodiment of the taxi attendance scheduling management method of the invention;
fig. 2 is a flowchart of a taxi attendance scheduling management method in the embodiment;
FIG. 3 is a flow chart of the card punch process in the embodiment;
FIG. 4 is a flowchart of the voice interaction process with the captain in the embodiment;
fig. 5 is a flowchart of the driver load rejection determination in the embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the embodiment of the taxi attendance scheduling management method, the taxi attendance scheduling management method is applied to a taxi attendance scheduling management system, and the taxi attendance scheduling management system can enable a driver to interact with a car captain in real time through voice commands and can play a card through voiceprints. The taxi attendance scheduling management system comprises a taxi terminal, and the structural schematic of the taxi terminal is shown in figure 1. In fig. 1, a voice receiving module 1 and a voice recognition module 2 are integrated on the taxi terminal, and the voice recognition module 2 is connected with the voice receiving module 1. The flow chart of the taxi attendance scheduling management method is shown in fig. 2. In fig. 2, the taxi attendance scheduling management method includes the following steps:
step S01 the voice receiving module receives the voice command of the driver: in this step, the voice receiving module receives a voice instruction of the driver.
Step S02, the voice receiving module sends the voice command of the driver to the voice recognition module, and the voice recognition module recognizes the semantic meaning of the voice command of the driver: in the step, after receiving the voice command of the driver, the voice receiving module sends the voice command of the driver to the voice recognition module, and the voice recognition module recognizes the semantics of the voice command of the driver.
Step S03 matches the operation flow corresponding to the semantics through the big data: in the step, according to the recognized semantic meaning of the driver, the operation flow corresponding to the voice is matched through the big data. The operation process can be a card punching process or a voice interaction process with a captain.
Step S04 executes a card punching process or a vehicle captain voice interaction process: in the step, according to the matched operation flow, a card punching flow or a vehicle captain voice interaction flow is executed. The driver and the captain of the vehicle can interact without the help of a mobile phone or manual operation.
The taxi terminal is further integrated with a voice playing module 3 and a voice voiceprint verification module 4, the voice voiceprint verification module 4 is connected with the voice receiving module 1, and the voice playing module 3 is connected with the voice voiceprint verification module 4.
Fig. 3 is a flowchart of a card punching process in this embodiment, and in fig. 3, the card punching process includes the following steps:
step S41 voice print verification module judges whether the current voice print in the driver' S voice command matches the preset voice print: in this step, the voice voiceprint verification module determines whether the current voiceprint in the driver' S voice command matches the preset voiceprint, and if so, executes step S42; otherwise, step S43 is executed.
Step S42 is successful in card punching, and the voice broadcasting module is successful in card punching in playing: if the judgment result of the above step S41 is yes, the present step is executed. In the step, the card punching is successful, and the voice broadcasting module plays the card punching successfully.
Step S43 failure to punch the card, the voice broadcast module plays failure to punch the card: if the judgment result of the above step S41 is no, the present step is executed. In the step, the card punching fails, and the voice broadcasting module plays the card punching failure.
In this embodiment, the taxi terminal is further integrated with a wireless communication module 5, and the wireless communication module 5 is connected with the voice receiving module 1. In this embodiment, the wireless communication module 5 is any one or a combination of any several of a 5G communication module, a 4G communication module, a bluetooth module, a WiFi module, a GSM module, a CDMA2000 module, a WCDMA module, a TD-SCDMA module, a Zigbee module, and a LoRa module. Through setting up multiple wireless communication mode, not only can increase the flexibility of wireless communication mode, can also satisfy the demand of different users and different occasions. Especially, when adopting the loRa module, its communication distance is far away, and communication performance is comparatively stable, is applicable to the occasion that requires the communication quality to be higher. The adoption of the 5G communication mode can achieve high data rate, reduce delay, save energy, reduce cost, improve system capacity and realize large-scale equipment connection.
Fig. 4 is a flowchart of a speech interaction process with the captain of the vehicle in this embodiment, and in fig. 4, the speech interaction process with the captain of the vehicle includes the following steps:
step S41', the voice receiving module sends the received voice command of the driver to the server in real time through the wireless communication module: in the step, the voice receiving module sends the received voice instruction of the driver to the server in real time through the wireless communication module.
Step S42', the server pushes the voice content to the captain APP terminal: in the step, the server pushes the voice content to the captain APP terminal. This Captain APP end is the Intelligence body trip APP.
In this embodiment, the taxi attendance scheduling management system further includes a detection module 6 and a feedback module 7, the detection module 6 is connected with the voice recognition module 2, and the feedback module 7 is connected with the voice recognition module 2.
In this embodiment, the taxi attendance scheduling management method further includes the following steps:
step S01' the voice receiving module receives the voice information of the driver and the passenger: in this step, the voice receiving module receives voice information of the driver and the passenger.
Step S02' the voice recognition module recognizes the voice information of the driver and the passenger: in the step, the voice receiving module sends the received voice information of the driver and the passenger to the voice recognition module, and the voice recognition module recognizes the voice information of the driver and the passenger.
Step S03', the detection module detects whether there is a load rejection: in this step, the detection module detects whether there is a load rejection, and if the result of the determination is yes, step S04' is executed; otherwise, step S05' is performed.
Step S04', the feedback module feeds the refused information back to the background and the captain APP end: if the judgment result of the above step S03' is yes, the present step is executed. In the step, the feedback module feeds the loading rejection information back to the background and the APP terminal of the captain.
Step S05', the feedback module feeds back the normal passenger information to the background and the front of the vehicle APP: if the judgment result of the above step S03' is no, the present step is executed. In the step, the feedback module feeds back the normal passenger information to the background and the APP terminal of the captain.
In practical applications, the following alternatives may also be used: the driver uses cell-phone APP and captain APP to carry out the speech interaction.
In short, in the embodiment, the voice receiving module receives a voice instruction of a driver; the voice receiving module sends a voice instruction of the driver to the voice recognition module, and the voice recognition module recognizes the semantic meaning of the voice instruction of the driver; matching the operation flow corresponding to the semantics through the big data; the method and the system execute a card punching process or a voice interaction process with the captain, and a driver and the captain interact without the help of a mobile phone or manual operation.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (6)

1. The taxi attendance scheduling management method is characterized by being applied to a taxi attendance scheduling management system, the taxi attendance scheduling management system comprises a taxi terminal, a voice receiving module and a voice recognition module are integrated on the taxi terminal, the voice recognition module is connected with the voice receiving module, and the taxi attendance scheduling management method comprises the following steps:
A) the voice receiving module receives a voice instruction of a driver;
B) the voice receiving module sends a voice instruction of the driver to the voice recognition module, and the voice recognition module recognizes the semantic meaning of the voice instruction of the driver;
C) matching the operation flow corresponding to the semantics through the big data;
D) and executing a card punching process or a vehicle captain voice interaction process.
2. The taxi attendance scheduling management method according to claim 1, wherein a voice playing module and a voice voiceprint verification module are further integrated on the taxi terminal, the voice voiceprint verification module is connected with the voice receiving module, the voice playing module is connected with the voice voiceprint verification module, and the card-punching process comprises the following steps:
D1) the voice voiceprint verification module judges whether the current voiceprint in the voice instruction of the driver is matched with a preset voiceprint, if so, the step D2 is executed; otherwise, performing step D3);
D2) the card punching is successful, and the voice broadcasting module plays the card punching successfully;
D3) and if the card punching fails, the voice broadcasting module plays the card punching failure.
3. The taxi attendance scheduling management method according to claim 2, wherein a wireless communication module is further integrated on the taxi terminal, the wireless communication module is connected with the voice receiving module, and the voice interaction process with the fleet leader comprises the following steps:
d1') the voice receiving module sends the received voice command of the driver to a server in real time through the wireless communication module;
d2'), the server pushes the voice content to the captain APP terminal.
4. The taxi attendance scheduling management method according to claim 3, wherein the taxi attendance scheduling management system further comprises a detection module and a feedback module, the detection module is connected with the voice recognition module, the feedback module is connected with the detection module, and the taxi attendance scheduling management method further comprises the following steps:
a') the voice receiving module receives voice information of a driver and passengers;
b') the voice recognition module recognizes voice information of the driver and the passenger;
c ') the detection module detects whether the load rejection exists, if yes, the step D') is executed; otherwise, executing step E');
d') the feedback module feeds back the rejection information to the background and the captain APP terminal;
e') the feedback module feeds back the normal passenger information to the background and the APP end of the captain.
5. The taxi attendance scheduling management method according to any one of claims 1 to 4, wherein the wireless communication module is any one or a combination of any several of a 5G communication module, a 4G communication module, a Bluetooth module, a WiFi module, a GSM module, a CDMA2000 module, a WCDMA module, a TD-SCDMA module, a Zigbee module and a LoRa module.
6. The taxi attendance scheduling management method according to any one of claims 1 to 4, wherein the captain APP terminal is an intelligence trip APP.
CN202010023762.9A 2020-01-09 2020-01-09 Taxi attendance scheduling management method Pending CN111199593A (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108122557A (en) * 2017-12-25 2018-06-05 四川长虹电器股份有限公司 Vehicle multimedia navigation terminal based on Application on Voiceprint Recognition
CN108766446A (en) * 2018-04-18 2018-11-06 上海问之信息科技有限公司 Method for recognizing sound-groove, device, storage medium and speaker
CN109064574A (en) * 2018-05-29 2018-12-21 安徽中科美络信息技术有限公司 A kind of driver management terminal
CN109636937A (en) * 2018-12-18 2019-04-16 深圳市沃特沃德股份有限公司 Voice Work attendance method, device and terminal device
CN110634485A (en) * 2019-10-16 2019-12-31 声耕智能科技(西安)研究院有限公司 Voice interaction service processor and processing method
EP3588511A1 (en) * 2018-06-28 2020-01-01 Hill-Rom Services, Inc. Voice recognition for patient care environment

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108122557A (en) * 2017-12-25 2018-06-05 四川长虹电器股份有限公司 Vehicle multimedia navigation terminal based on Application on Voiceprint Recognition
CN108766446A (en) * 2018-04-18 2018-11-06 上海问之信息科技有限公司 Method for recognizing sound-groove, device, storage medium and speaker
CN109064574A (en) * 2018-05-29 2018-12-21 安徽中科美络信息技术有限公司 A kind of driver management terminal
EP3588511A1 (en) * 2018-06-28 2020-01-01 Hill-Rom Services, Inc. Voice recognition for patient care environment
CN109636937A (en) * 2018-12-18 2019-04-16 深圳市沃特沃德股份有限公司 Voice Work attendance method, device and terminal device
CN110634485A (en) * 2019-10-16 2019-12-31 声耕智能科技(西安)研究院有限公司 Voice interaction service processor and processing method

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Application publication date: 20200526