CN218729890U - Intelligent scooter based on offline voice recognition human-computer interaction equipment - Google Patents
Intelligent scooter based on offline voice recognition human-computer interaction equipment Download PDFInfo
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- CN218729890U CN218729890U CN202222411822.1U CN202222411822U CN218729890U CN 218729890 U CN218729890 U CN 218729890U CN 202222411822 U CN202222411822 U CN 202222411822U CN 218729890 U CN218729890 U CN 218729890U
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Abstract
The utility model discloses an intelligence car of riding instead of walk based on off-line speech recognition human-computer interaction equipment belongs to intelligence car field of riding instead of walk. This intelligence car of riding instead of walk's human-computer interaction equipment includes: the off-line voice recognition module is used for recognizing voice signal input and outputting the signal to a vehicle-mounted central control connected with the off-line voice recognition module after recognition; the wireless gateway module is connected with the offline voice recognition module and is in data communication with the peripheral equipment through a one-to-many communication protocol; the microphone is connected with the off-line voice recognition module. The intelligent scooter is provided with the off-line voice recognition human-computer interaction device, so that two control modes of voice control and button control can be realized, a user can select the off-line voice recognition human-computer interaction device according to actual needs, the control of the user is facilitated, the safety during riding is ensured, and particularly when the off-line voice recognition human-computer interaction device is applied to equipment such as an electric bicycle, a scooter and the like, the effect is better as a human-computer interaction means.
Description
Technical Field
The utility model relates to an intelligence car field of riding instead of walk especially relates to an intelligence car of riding instead of walk based on off-line speech recognition human-computer interaction equipment.
Background
The scooter is a wider concept, except for common motor vehicles, the scooter is basically seen everywhere in daily life, for example: bicycles, scooters, electric vehicles, scooters, balance cars, and the like. With the development of the technology, the pure manpower-driven scooter cannot meet the requirements of people, a battery is generally arranged on the scooter and is driven by the battery, and the scooter becomes an electric scooter. Accordingly, various functions (such as playing music and sound, switching gears, turning on light and the like) are added to the scooter, so that the scooter becomes an intelligent scooter, and a bicycle, a scooter, an electric vehicle, a scooter, a balance car and the like all belong to the range of the intelligent scooter.
Current intelligence car of riding instead of walk, its control part is integrated on the shell of car of riding instead of walk, and some direct settings are controlled through button or button on the handlebar. Due to space limitations, the buttons cannot be set too many, usually not more than 3, and the number of controllable functions is limited. If set up the LCD touch-sensitive screen, can satisfy complicated interactive function's needs, but need look over with low heads, probably influence the problem of riding safety based on above-mentioned operation, the utility model discloses an aim at inventing an intelligence car of riding instead of walk based on off-line speech recognition controller.
SUMMERY OF THE UTILITY MODEL
In order to solve the technical problem, the utility model provides an intelligence car of riding instead of walk based on off-line speech recognition human-computer interaction equipment.
The technical scheme of the utility model is that: an intelligence car of riding instead of walk based on off-line speech recognition human-computer interaction equipment includes:
the off-line voice recognition module is used for recognizing voice signal input and outputting the signal to a vehicle-mounted central control connected with the off-line voice recognition module after recognition;
the wireless gateway module is connected with the offline voice recognition module and is in data communication with the peripheral equipment through a one-to-many communication protocol;
and the microphone is used for acquiring voice commands and is connected with the offline voice recognition module.
Furthermore, the connection between the off-line voice recognition module and the vehicle-mounted central control module adopts at least one of 485 communication or UART communication, and the connection between the off-line voice recognition module and the wireless gateway module adopts at least one of 485 communication or UART communication.
Further, when the offline voice recognition module is in 485 communication with the vehicle-mounted central control module and the wireless gateway module, the vehicle-mounted central control module is a host, and the offline voice recognition module and the wireless gateway module are slaves. The master machine sends a command to the slave machine, the slave machine cannot send the command actively, and can reply only when receiving the command of the master machine, so that the situation that command voice or similar command voice occurs in daily conversation is avoided, an offline voice recognition module sends the command after voice recognition, and potential safety hazards are caused.
Further, when the offline voice recognition module is communicated with the vehicle-mounted central control module and the wireless gateway module through URAT, information from the wireless gateway module is transmitted to the vehicle-mounted central control module through the offline voice recognition module.
Further, the peripheral is a sensor. The peripheral device is required to have a wireless connection function, the sensor has the function, generally, the sensor is arranged on a scooter or worn on a rider, and information collected by the peripheral device is transmitted to the vehicle-mounted central control through the wireless gateway for processing.
Further, the off-line voice recognition module comprises a processor chip and an off-line command word bank.
Furthermore, the off-line command word bank stores command words in different languages, and generally stores two different command words in Chinese and English to meet daily needs.
Further, the processing procedure of the processor chip is as follows: and when the acoustic model is matched with the command words, the command is output, namely the command is output to the vehicle-mounted central control.
Furthermore, the vehicle-mounted central control supplies power to the offline voice recognition module, the power supply voltage is 5V, and meanwhile, the wireless gateway module connected with the offline voice recognition module is also supplied with power, and the power supply voltage is 5V. And the supply currents of the two are not more than 200mA.
Further, the vehicle-mounted central control is control equipment on the intelligent scooter. For example, the internet of things consisting of equipment such as acceleration equipment, deceleration equipment, constant speed equipment, light equipment and music equipment on the intelligent scooter can be controlled through the equipment, and the safety in the driving process is improved.
The one-to-many communication protocol includes any one of BLE Mesh, zigbee.
The utility model has the beneficial technical effects that: the off-line voice recognition human-computer interaction equipment is arranged on the intelligent scooter, two control modes of voice control and button control can be realized, a user can conveniently select the off-line voice recognition human-computer interaction equipment according to actual needs, the control of the user is facilitated, the safety during riding is ensured, and particularly when the voice human-computer interaction equipment is applied to equipment such as an electric bicycle, a scooter and the like, the effect is better when the voice human-computer interaction equipment is used as a human-computer interaction means.
Drawings
Fig. 1 is a schematic diagram of an offline speech recognition human-computer interaction device.
FIG. 2 is a schematic diagram of sub-modules of an offline speech recognition module.
In the figure:
1. an off-line voice recognition module 2, a vehicle-mounted central control 3, a wireless gateway module 4, a peripheral device 5 and a microphone,
11. processor chip, 12, off-line command thesaurus.
Detailed Description
In order to make the technical means of the present invention clearer and to implement the present invention according to the content of the specification, the following detailed description of the embodiments of the present invention is provided with reference to the accompanying drawings and examples, which are used for illustrating the present invention and are not intended to limit the scope of the present invention.
Referring to fig. 1-2, in this embodiment, an intelligent scooter based on offline speech recognition human-computer interaction equipment includes:
the off-line voice recognition module 1 is used for recognizing voice signal input and outputting the signal to a vehicle-mounted central control 2 connected with the off-line voice recognition module 1 after recognition;
the wireless gateway module 3 is connected with the offline voice recognition module 1, and the wireless gateway module 3 is in data communication with the peripheral 4 through a one-to-many communication protocol;
and the microphone 5 is connected with the off-line voice recognition module 1, and the microphone 5 for collecting voice commands is connected with the off-line voice recognition module 1.
The connection between the off-line voice recognition module 1 and the vehicle-mounted central control 2 adopts at least one of 485 communication or UART communication, and the connection between the off-line voice recognition module 1 and the wireless gateway module 3 adopts at least one of 485 communication or UART communication.
When the offline voice recognition module 1, the vehicle-mounted central control 2 and the wireless gateway module 3 are in 485 communication, the vehicle-mounted central control 2 is a host, and the offline voice recognition module 1 and the wireless gateway module 3 are slaves. The master machine sends a command to the slave machine, the slave machine cannot send the command actively, the command can be replied only when the command of the master machine is received, command voice or similar command voice in daily conversation is avoided, the offline voice recognition module 1 sends the command after voice recognition, and potential safety hazards are caused.
When the offline voice recognition module 1, the vehicle-mounted central control 2 and the wireless gateway module 3 adopt URAT communication, information from the wireless gateway module 3 is transmitted to the vehicle-mounted central control 2 through the offline voice recognition module 1.
The peripheral 4 is a sensor. The peripheral device is required to have a wireless connection function, and the sensor has the function, generally speaking, the sensor is arranged on a scooter or worn on a rider, and information collected by the peripheral device is transmitted to a vehicle-mounted central controller through a wireless gateway for processing.
The offline speech recognition module 1 comprises a processor chip 11 and an offline command lexicon 12.
The off-line command word bank 12 stores command words of different languages, generally speaking, two different Chinese and English command words can be stored to meet daily requirements, and the off-line command word bank can be updated, and the off-line voice recognition module can be detached and then connected or directly connected to updating equipment for updating.
Processing of the processor chip 11: and voice is input through the microphone 5, the input voice signal is converted into an acoustic model, command words in the offline command word bank 12 are called and matched at the same time, and when the acoustic model is matched with the command words, the command is output, namely the command is output to the vehicle-mounted central control unit 2.
The vehicle-mounted central control 2 supplies power to the offline voice recognition module 1, the power supply voltage is 5V, and meanwhile, the wireless gateway module 3 connected with the offline voice recognition module 1 is also supplied with power, and the power supply voltage is 5V. And the supply currents of the two are not more than 200mA.
The vehicle-mounted central control 2 is control equipment on the intelligent scooter. For example, the internet of things consisting of equipment such as acceleration equipment, deceleration equipment, constant speed equipment, light equipment and music equipment on the intelligent scooter can be controlled through the equipment, and the safety in the driving process is improved.
The one-to-many communication protocol includes any one of BLE mesh, zigbee.
Bluetooth is one of the most common wireless communication protocols used today for everyday items such as mice, headsets, laptops, and smart phones. Bluetooth is supported. In 2017, it was updated to Bluehouse Mesh, abbreviated as BLE Mesh protocol.
The ZigBee protocol is suitable for the requirements of low cost, low energy, high fault tolerance and the like of the wireless sensor. ZigBee is a low power consumption local area network protocol based on IEEE802.15.4 standard.
The off-line voice recognition human-computer interaction equipment is arranged on the intelligent scooter, two control modes of voice control and button control can be realized, a user can conveniently select the equipment according to actual needs, the control of the user is facilitated, the safety during riding is guaranteed, and particularly when the voice control part is applied to equipment such as an electric bicycle, a scooter and the like, the effect is better when the voice control part is used as a human-computer interaction means.
The specific use method comprises the following steps:
the communication between the offline voice recognition module 1 and the wireless gateway module 3, and between the offline voice recognition module 1 and the vehicle-mounted central control 2 adopts a dual communication mode, namely 485 communication and UART communication are simultaneously realized between the two modules;
when voice input is adopted, the off-line voice recognition module 1 is in 485 communication with the vehicle-mounted central control 2 and the wireless gateway module 3, the vehicle-mounted central control 2 is a host, and the off-line voice recognition module 1 and the wireless gateway module 3 are slaves. The master machine sends a command to the slave machine, the slave machine cannot send the command actively, the command can be replied only when the command of the master machine is received, command voice or similar command voice in daily conversation is avoided, the offline voice recognition module 1 sends the command after voice recognition, and potential safety hazards are caused.
When the peripheral 4 is used for input control, the offline voice recognition module 1, the vehicle-mounted central control 2 and the wireless gateway module 3 are communicated by URAT, and the information from the wireless gateway module 3 is transmitted to the vehicle-mounted central control 2 through the offline voice recognition module 1.
The two control modes are independent from each other and do not interfere with each other, and the intelligent scooter is controlled in multiple modes.
Especially in daily life, common car of riding instead of walk such as scooter, electric motor car or two-wheeled electric bicycle's use, its function is except simple with higher speed and brake, other functions in addition, these functions are all integrated in the thing networking of car of riding instead of walk, and this thing networking is independent moreover, consequently the utility model discloses an inventor, on the basis of car is ridden instead of walk to intelligence, develop this off-line speech recognition human-computer interaction equipment, can set up this part on the car is ridden instead of walk to intelligence, the person of facilitating the use uses and carries out better human-computer interaction to the car of riding instead of walk to intelligence.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and it should be noted that, for those skilled in the art, a plurality of modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (8)
1. The utility model provides an intelligence car of riding instead of walk based on off-line speech recognition human-computer interaction equipment which characterized in that includes:
the off-line voice recognition system comprises an off-line voice recognition module (1), a central control unit (2) and a voice recognition module, wherein the off-line voice recognition module (1) is used for recognizing voice signal input and outputting a signal to the central control unit (2) connected with the off-line voice recognition module (1) after recognition;
the wireless gateway module (3) is connected with the offline voice recognition module (1), and the wireless gateway module (3) is in data communication with the peripheral (4) through a one-to-many communication protocol; and
the microphone (5) is used for collecting voice commands, and the microphone (5) is connected with the offline voice recognition module (1).
2. The intelligent scooter based on offline voice recognition human-computer interaction equipment as claimed in claim 1, wherein: the off-line voice recognition module (1) is connected with the vehicle-mounted central control unit (2) by adopting at least one of 485 communication or UART communication, and the off-line voice recognition module (1) is connected with the wireless gateway module (3) by adopting at least one of 485 communication or UART communication.
3. The intelligent scooter based on offline voice recognition human-computer interaction equipment as claimed in claim 2, wherein: when the off-line voice recognition module (1) is in 485 communication with the vehicle-mounted central control module (2) and the wireless gateway module (3), the vehicle-mounted central control module (2) is a host, and the off-line voice recognition module (1) and the wireless gateway module (3) are slaves.
4. The intelligent scooter based on offline voice recognition human-computer interaction equipment as claimed in claim 2, wherein: when the offline voice recognition module (1) is communicated with the vehicle-mounted central control unit (2) and the wireless gateway module (3) through URAT, information from the wireless gateway module (3) is transmitted to the vehicle-mounted central control unit (2) through the offline voice recognition module (1).
5. The intelligent scooter based on offline voice recognition human-computer interaction equipment as claimed in claim 1, wherein: the peripheral (4) is a sensor.
6. The intelligent scooter based on offline voice recognition human-computer interaction equipment as claimed in claim 1, wherein: the offline speech recognition module (1) comprises a processor chip (11) and an offline command lexicon (12).
7. The intelligent scooter based on offline voice recognition human-computer interaction equipment as claimed in claim 1, wherein: the vehicle-mounted central control unit (2) supplies power to the offline voice recognition module (1), the power supply voltage is 5V, and meanwhile, the wireless gateway module (3) connected with the offline voice recognition module (1) is also supplied with power, and the power supply voltage is 5V.
8. The intelligent scooter based on offline voice recognition human-computer interaction equipment as claimed in claim 1, wherein: the one-to-many communication protocol includes any one of BLE mesh and Zigbee.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202222411822.1U CN218729890U (en) | 2022-09-13 | 2022-09-13 | Intelligent scooter based on offline voice recognition human-computer interaction equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202222411822.1U CN218729890U (en) | 2022-09-13 | 2022-09-13 | Intelligent scooter based on offline voice recognition human-computer interaction equipment |
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| CN218729890U true CN218729890U (en) | 2023-03-24 |
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| CN202222411822.1U Active CN218729890U (en) | 2022-09-13 | 2022-09-13 | Intelligent scooter based on offline voice recognition human-computer interaction equipment |
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