CN114839891B - Intelligent bedside table control method based on Internet of things, computer and storage medium - Google Patents
Intelligent bedside table control method based on Internet of things, computer and storage medium Download PDFInfo
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- CN114839891B CN114839891B CN202210513821.XA CN202210513821A CN114839891B CN 114839891 B CN114839891 B CN 114839891B CN 202210513821 A CN202210513821 A CN 202210513821A CN 114839891 B CN114839891 B CN 114839891B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention provides an intelligent bedside cabinet control method based on the Internet of things, a computer and a storage medium, wherein the method comprises the steps of receiving first voiceprint information of a user when the intelligent bedside cabinet is in a networking state; packaging the first voiceprint information into an encryption request, and sending the encryption request to a trusted source server; receiving an encryption key issued by a trusted source server; receiving voice information of a user; encrypting the voice information based on the encryption key to obtain voice encryption information; sending the voice encryption information to a voice recognition server; and receiving a control instruction obtained by analyzing the voice information by the voice recognition server, responding to the control instruction, and controlling the working unit on the bedside table to work. This first voiceprint information not only regards as the encrypted request of user's speech information, can also trigger the bedside cupboard and get into encrypting speech information under the encryption mode for the user can communicate with the speech recognition server more safely, can effectively ensure user privacy, avoids user's information to reveal.
Description
Technical Field
The invention relates to the technical field of smart home, in particular to a control method of an intelligent bedside cabinet based on the Internet of things, a computer and a storage medium.
Background
With the continuous development of science and technology, smart homes have been applied in a large scale. Various intelligent electrical appliances greatly facilitate the household life of people.
The bedside table is used as a main home in a bedroom of people, and at present, the function is developed towards diversification. For example, the current bedside cabinet is equipped with a socket, a Universal Serial Bus (USB) interface, wireless charging, a bluetooth sound box, a floor lamp, a fingerprint lock and other functions, so that the bedside cabinet is no longer a single cabinet for placing articles, and great convenience is brought to the life and entertainment of people in a bedroom.
However, with the diversification of the functions of the bedside table, the work of controlling the bedside table becomes complicated, for example, a plurality of different function buttons are arranged on the bedside table and are respectively used for different electric elements, for example, the Bluetooth module is used for controlling the on and off of wireless charging, controlling the volume of the Bluetooth sound box, and controlling the on and off of the floor lamp. The more the functions of the bedside table are, the more the control buttons are needed, the more the control process is complicated, and the larger use space on the bedside table is occupied. In order to enable the control to be simple and convenient and save the usable space on the bedside table, a voice recognition module is arranged on part of the bedside table at present, the voice of a user is recognized through the voice recognition module, and the control of the bedside table is achieved.
Disclosure of Invention
Based on this, it is necessary to provide an intelligent bedside table control method, a computer and a storage medium based on the internet of things to solve the technical problems.
An intelligent bedside table control method based on the Internet of things comprises the following steps:
detecting whether a user enters a preset area or not through an infrared signal;
when detecting that the user enters the preset area, entering a voiceprint recognition mode;
detecting a current state of connection to the internet in the voiceprint recognition mode;
when the current state of connecting to the Internet is a networking state, receiving first voiceprint information of a user, wherein the voiceprint is a sound characteristic emitted by the mouth of the user;
packaging the first voiceprint information into an encryption request, and sending the encryption request to a trusted source server;
receiving an encryption key issued by the trusted source server in response to the encryption request;
receiving voice information of a user;
encrypting the voice information based on the encryption key to obtain voice encryption information;
sending the voice encryption information to a voice recognition server, decrypting the voice encryption information by the voice recognition server, and analyzing the voice information;
and receiving a control instruction obtained by analyzing the voice information by the voice recognition server, responding to the control instruction, and controlling the work unit on the bedside table to work.
In one embodiment, the step of detecting a current internet connection state in the voiceprint recognition mode further comprises:
when the current state of connecting to the Internet is a disconnected state, sending first indication information, and entering an offline control mode;
receiving second voiceprint information of the user in the off-line control mode, wherein the voiceprint is the sound characteristic emitted by the mouth of the user;
detecting whether the second voiceprint information is matched with one of a plurality of prestored voiceprint control information;
when the second voiceprint information is matched with one of a plurality of pieces of prestored voiceprint control information, determining the voiceprint control information matched with the second voiceprint information as offline control information;
and acquiring an off-line control instruction corresponding to the off-line control information, and controlling a working unit on the bedside table to work based on the off-line control instruction.
In one embodiment, the step of entering the voiceprint recognition mode when it is detected that the user enters the preset area further includes:
detecting whether voiceprint information of a user is received within a first preset time;
and exiting the voiceprint recognition mode when the voiceprint information of the user is not received within the first preset time.
In one embodiment, when the current connection state to the internet is a networking state, the step of receiving the first voiceprint information of the user comprises:
when the current state of connecting to the Internet is a networking state, detecting whether the first voiceprint information of the user is received or not;
when the first voiceprint information of the user is received, the step of packaging the first voiceprint information into an encryption request and sending the encryption request to a trusted source server is executed;
when the first voiceprint information of the user is not received, detecting whether the voice information of the user is received;
when the voice information of the user is received, the voice information is sent to the voice recognition server;
and receiving a control instruction obtained by analyzing the voice information by the voice recognition server, responding to the control instruction, and controlling the work unit on the bedside table to work.
In one embodiment, the step of detecting whether the user enters the preset area by using the infrared signal further includes:
when the fact that the user enters the preset area is not detected, whether third voiceprint information of the user is received or not is detected, wherein the voiceprint is the sound feature emitted by the mouth of the user;
and when third voiceprint information of the user is received, controlling the area indicator lamp to illuminate the preset area.
In one embodiment, the step of receiving a control command obtained by the voice recognition server analyzing the voice message, and controlling the work unit on the bedside table to work in response to the control command further includes:
detecting whether the first voiceprint information is received again;
when first voiceprint information is received, whether secondary voice information is received or not is detected within second preset time;
when the secondary voice information is received within the second preset time, encrypting the secondary voice information based on the encryption key to obtain secondary voice encryption information;
and sending the secondary voice encryption information to a voice recognition server, receiving a secondary control instruction obtained by analyzing the secondary voice encryption information by the voice recognition server, and controlling a working unit on the bedside table to work according to the secondary control instruction.
In one embodiment, the working unit on the bedside table comprises at least one of a table lamp, a floor lamp, a sound box, a music player, a wireless charging unit, an air purifier and an ultraviolet disinfection lamp.
An intelligence bedside cupboard controlling means based on thing networking includes:
the device comprises a preset area entering detection module, a detection module and a control module, wherein the preset area entering detection module is used for detecting whether a user enters a preset area or not through an infrared signal;
a voiceprint recognition mode entering module, configured to enter a voiceprint recognition mode when it is detected that the user enters the preset area;
the networking state detection module is used for detecting the state of the current connection to the Internet in the voiceprint recognition mode;
the first voiceprint information receiving module is used for receiving first voiceprint information of a user when the current state of being connected to the Internet is a networking state, wherein the voiceprint is a sound characteristic emitted by the mouth of the user;
the encryption request sending module is used for packaging the first voiceprint information into an encryption request and sending the encryption request to a trusted source server;
an encryption key receiving module, configured to receive an encryption key issued by the trusted source server in response to the encryption request;
the voice information receiving module is used for receiving the voice information of the user;
the voice encryption module is used for encrypting the voice information based on the encryption secret key to obtain voice encryption information;
the voice encryption sending module is used for sending the voice encryption information to a voice recognition server, decrypting the voice encryption information by the voice recognition server and analyzing the voice information;
and the control module is used for receiving a control instruction obtained by analyzing the voice information by the voice recognition server and responding to the control instruction to control the work unit on the bedside table to work.
A computer device comprising a memory storing a computer program and a processor implementing the method of any of the embodiments described above when the processor executes the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of any of the above embodiments.
According to the intelligent bedside cupboard control method based on the Internet of things, the first voiceprint information of the user is received under the condition that the bedside cupboard is networked, the first voiceprint information not only serves as an encryption request of voice information of the user, but also can trigger the bedside cupboard to enter an encryption mode to encrypt the voice information, so that the user can communicate with the voice recognition server more safely under the condition of networking, the privacy of the user can be effectively guaranteed under the condition that the bedside cupboard is controlled, and information leakage of the user is avoided.
Drawings
Fig. 1 is a schematic flow chart of a control method of an intelligent bedside table based on the internet of things in one embodiment;
fig. 2 is a block diagram of an intelligent bedside table control device based on the internet of things in one embodiment;
FIG. 3 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Description of the preferred embodiment
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Examples
In this embodiment, as shown in fig. 1, a control method for an intelligent bedside table based on the internet of things is provided, which includes:
In this embodiment, the bedside table is provided with the infrared detector for detecting the movement of the user and detecting whether a moving object enters a preset area, where the area may be an area in front of the bedside table, an area on one side of the bedside table, or an area with a preset area and a preset distance away from the bedside table. The preset area can be set according to the detection distance and the detection angle of the infrared detector.
In this embodiment, when the user enters the preset area, the bedside table is triggered to enter the voiceprint recognition mode, specifically, the bedside table is provided with a microphone for receiving sound, and in the voiceprint recognition mode, the bedside table receives sound through the microphone, so that the voiceprint is recognized.
In this embodiment, after entering the voiceprint recognition mode, the voiceprint information can be recognized. Voiceprints are a characteristic of sound. For example, the voiceprint may be a sound feature emitted by a preset device, or a sound feature emitted by a user's limb flapping, for example, the voiceprint is a sound feature emitted by a user's double-palm flapping, for example, the voiceprint is a sound feature emitted by a user's flapping drum, for example, the voiceprint is a sound feature emitted by a user's mouth. Different voiceprint characteristics, different voiceprint information, such as different voiceprint information generated by the clapping of the palm and different voiceprint information generated by the clapping of the palm.
It should be understood that, because the voiceprint information is simple and easy to identify, the amount of recorded information is small, and the meaning of the voiceprint information does not need to be analyzed in the analysis, and better processing performance is not needed, the voiceprint information can be analyzed by a processor on the bedside table without analyzing and identifying by a server, and the mode of triggering to enter the voiceprint identification mode is simple.
And 103, detecting the current state of connecting to the Internet in the voiceprint recognition mode.
In this embodiment, the bedside cupboard is networking state under normal condition, after the connection of network anomaly or user disconnection internet, then the bedside cupboard is in disconnected net state, in this embodiment, under the entering voiceprint recognition mode, at first detects the networking state of bedside cupboard.
And 104, receiving first voiceprint information of the user when the current state of connecting to the Internet is a networking state.
In this embodiment, when the state of the bedside table connected to the internet is the networking state, it indicates that the bedside table is connected to the server. Accordingly, first voiceprint information of the user can be detected based on this.
It should be understood that the first voiceprint information, the second voiceprint information and the third voiceprint information in the present embodiment are all voiceprint information, the voiceprint information describes characteristics of sound or texture information, the voiceprint information does not describe specific content of sound, that is, the voiceprint information does not have specific phonetic meaning, the voiceprint information only describes characteristics of sound to distinguish sound emitted by different objects, that is, the voiceprint information may be constituted by sound without information carrier. The voiceprint information only records the voice characteristics without recording the specific meaning and content of the voice, for example, when the voiceprint information is the voice emitted by the mouth of the user, the voiceprint information only records the voice emitted by the user, and does not identify the voice information or the speaking content carried in the voice of the user.
In this embodiment, a plurality of different voiceprint information are prestored in the memory of the bedside table, and the voiceprint information respectively corresponds to different operations of the bedside table. For example, the first voiceprint information is used for triggering the bedside table to encrypt voice information of the user and send the voice information to the server. For example, the first voiceprint information is a sound emitted by a clapping palm of a user. For example, the first voiceprint information is a sound generated by a user when the user beats a drum, and for example, the first voiceprint information is a sound generated by the user pulling a string. In this embodiment, when the bedside table receives a sound emitted by a clapping of a user, the sound is identified as the first voiceprint information.
And 105, packaging the first voiceprint information into an encryption request, and sending the encryption request to a trusted source server.
In this step, the first voiceprint information collected by the microphone is packaged into an encryption request. Specifically, sound collected by the microphone is an analog signal, the microphone collects the analog signal and converts the analog signal into a digital signal through the analog-to-digital conversion module, sound features of the digital signal are extracted to obtain first voiceprint information, and the processor sends the first voiceprint information to the trusted source server as an encryption request. When the first voiceprint information is packed into the encryption request, the first voiceprint information can be compressed and packed through a compression algorithm, or key information in the first voiceprint information can be extracted through a preset extraction algorithm and packed into the encryption request. In one embodiment, the encryption request further carries identification information of the bedside table, the identification information is unique identification information of the bedside table and is used for distinguishing different bedside tables, for example, the identification information is ID (Identity document) information.
In this embodiment, the first voiceprint information only carries voiceprints without carrying content in voice, and the amount of information carried by the first voiceprint information is small, and the first voiceprint information is used as an encryption request or packaged into an encryption request, so that the amount of information of the encryption request is small.
The trusted source server is a server in a network and is used for providing encryption service for intelligent homes such as the bedside table. The trusted source server is independent of the voice recognition server and is used for sending the encryption key to the bedside table and other terminals or the intelligent home.
And step 106, receiving an encryption key issued by the trusted source server in response to the encryption request.
In this embodiment, the trusted source server obtains, according to the first voiceprint information, an encryption key corresponding to the first voiceprint information. It should be understood that multiple sets of encryption keys are stored in the trusted source server, each set of encryption keys corresponds to one terminal or bedside table, and each first voiceprint information corresponds to one set of encryption keys. After the trusted source receives the encryption request, a group of encryption keys corresponding to the first voiceprint information is confirmed according to the first voiceprint information carried by the encryption request, one of the encryption keys is selected from the group of encryption keys, and the selected encryption key is sent to the bedside table.
Similarly, for the same bedside table, the first voiceprint information may also be multiple, each bedside table corresponds to one group of encryption keys in the trusted source server, and one piece of first voiceprint information of each bedside table corresponds to one encryption key in the group of encryption keys in the trusted source server. In one embodiment, the trusted source server receives the encryption request, analyzes the encryption request to obtain identification information of the bedside table and first voiceprint information, confirms a group of encryption keys corresponding to the identification information according to the identification information of the bedside table, determines an encryption key corresponding to the first voiceprint information from the group of encryption keys according to the first voiceprint information, and sends the encryption key to the bedside table.
In this embodiment, the corresponding relationship between the first voiceprint information and the encryption key on the trusted source server may be preset. For example, the user may preset a plurality of fourth voiceprint information for the bedside table, upload the fourth voiceprint information to the trusted source server through the bedside table, and the trusted source server performs correspondence between the fourth voiceprint information and each encryption key of the group of encryption keys to establish an association relationship.
In one embodiment, the intelligent bedside table control method based on the internet of things further comprises the steps of detecting whether a voiceprint key association instruction is received or not, entering a voiceprint key association mode when the voiceprint key association instruction is received, receiving at least two fourth voiceprint information, packaging the fourth voiceprint information and identification information of the bedside table into an association request, and sending the association request to a trusted source server. The trusted source server responds to the association request, analyzes the association request to obtain the fourth voiceprint information and the identification information of the bedside table, generates a plurality of encryption keys corresponding to the number of the fourth voiceprint information, establishes an association relationship between the fourth voiceprint information, the identification information of the bedside table and the generated plurality of encryption keys, and stores the association relationship between the fourth voiceprint information, the identification information of the bedside table and the generated plurality of encryption keys.
In this embodiment, when the trusted source server receives the encryption request, the encryption request is analyzed to obtain the identification information of the bedside table and the first voiceprint information, a set of encryption keys corresponding to the identification information is determined according to the identification information of the bedside table, fourth voiceprint information matched with the first voiceprint information is determined according to the first voiceprint information, an encryption key corresponding to the fourth voiceprint information is determined from the set of encryption keys based on the association relationship, and the encryption key is issued to the bedside table. Specifically, when the similarity between the first voiceprint information and one of the fourth voiceprint information is greater than the preset similarity, the fourth voiceprint information matched with the first voiceprint information can be confirmed, and then the encryption key corresponding to the fourth voiceprint information can be determined based on the pre-stored association relationship. That is, the fourth voiceprint information is determined from the first voiceprint information, and the encryption key is confirmed from the fourth voiceprint information. Therefore, the trusted source server can establish an association relationship with the encryption key based on the fourth voiceprint information uploaded by the bedside table and the identification information of the bedside table, and thus when the bedside table sends an encryption request to the trusted source server, the encryption key corresponding to the first voiceprint information can be determined according to the comparison between the first voiceprint information and the fourth voiceprint information.
Above-mentioned embodiment, trusty origin server can be to the first voiceprint information of the difference of different bedside cabinets, issue different encryption key, make the bedside cabinet based on the different sound that the user sent at every turn, obtain different encryption key, different encryption key is selected to user accessible sound, make the encryption key to speech information pass through voiceprint control by the user in the follow-up step, the security of encryption key has effectively been improved, make follow-up encryption to speech information more safe, effectively avoid speech information to reveal.
The first voiceprint information can serve as a trigger condition for triggering the bedside table to send the encryption request and a confirmation condition for the encryption key, so that the trusted source server can confirm the encryption key needing to be fed back based on the first voiceprint information, and the interaction efficiency with the trusted source server can be effectively improved.
In this embodiment, the voice information is voice information uttered by the mouth of the user, that is, voice information uttered by the mouth of the user, for example, the voice information is generated by the user speaking. The voice information carries a control instruction of a user, and the control instruction is an instruction for controlling the bedside cabinet to work. It should be understood that the voice information in this step is the sound information carrying the content and having specific meaning, and different from the voiceprint information only carrying the sound feature. In this embodiment, the voice information carries a simple content spoken by the user, and does not record the voice characteristics of the user's voice. In this embodiment, the sound emitted by the user is collected by the microphone, and the collected analog signal is converted into a digital signal by the analog-to-digital conversion module.
And 108, encrypting the voice information based on the encryption secret key to obtain voice encryption information.
In this embodiment, the bedside table encrypts the voice information of the user based on the encryption key issued by the trusted source server to obtain encrypted voice encryption information.
And step 109, sending the voice encryption information to a voice recognition server, decrypting the voice encryption information by the voice recognition server, and analyzing the voice information.
In this embodiment, the bedside cupboard sends the secret information of pronunciation after encrypting to the speech recognition server in the network, and speech recognition server deciphers the speech information, obtains the speech information to analyze this speech information, obtain control command.
In this embodiment, the voice recognition server decrypts the encrypted voice encryption information by using the decryption key to obtain the voice information. In this embodiment, the voice recognition server analyzes the voice information to obtain the control instruction. In one embodiment, the voice recognition server analyzes the voice information based on a preset neural network based on artificial intelligence to obtain the control instruction. In this embodiment, the speech recognition server is deployed with a neural network for recognizing speech information, and the neural network is obtained based on machine learning, and realizes recognition of speech information through learning of a large amount of sample speech data.
And step 110, receiving a control instruction obtained by analyzing the voice information by the voice recognition server, responding to the control instruction, and controlling a working unit on the bedside table to work.
In this embodiment, after the voice recognition server recognizes the control instruction, the control instruction is fed back to the bedside table, and after the bedside table receives the control instruction, the bedside table responds to the control instruction to control the work unit of the bedside table to work. It should be understood that the control command sent by the user through the voice message is not a command in a standardized format, and the command may be a command for turning on or off a lamp on the bedside table, or a command for controlling the volume of the sound box, so that the bedside table cannot recognize such a complicated control command, needs to be analyzed and recognized by the voice recognition server, is limited by the processing capability of the bedside table, cannot recognize complicated voice messages, and therefore needs to be recognized by the voice recognition server. And because voice message has the potential safety hazard because the network transmission to the speech recognition server, consequently, the bedside cupboard is based on the encryption key of trusty source server to the voice message encryption, can effectively improve voice message's security, avoids user's voice message to reveal. And the voice information input by the accidental triggering of the user can be kept secret.
In addition, the voice recognition server can process and recognize complex voice information, so that a user can input complex instructions through the voice information, for example, the user can control the playing audio to be next in a manner of fast forwarding or rewinding the playing audio progress of the sound box. So that the control of the working unit on the bedside cupboard is more accurate.
In this embodiment, under the condition of bedside cupboard networking, receive user's first voiceprint information, this first voiceprint information not only is as user's speech information's encrypted request, can also trigger the bedside cupboard and get into encrypting the speech information under the encryption mode and encrypt for the user can communicate with the speech recognition server more safely under the condition of networking, under the control's of realization to the bedside cupboard condition, can effectively ensure user's privacy, avoid user's information to reveal.
It should be understood that, in the above embodiment, the entering of the voiceprint recognition mode is triggered by the fact that the user enters the preset area and is detected by the infrared detection signal, and when the user does not enter the preset area, even if the user makes a sound or makes a voice, the voice control cannot be performed, so that the control accuracy can be effectively ensured, and the misoperation can be avoided.
In one embodiment, the working unit on the bedside table comprises at least one of a table lamp, a floor lamp, a sound box, a music player, a wireless charging unit, an air purifier and an ultraviolet disinfection lamp.
In this embodiment, the top of bedside cupboard sets up liftable desk lamp, ultraviolet disinfection lamp, and the bottom of bedside cupboard sets up the floor-lamp to built-in music player of bedside cupboard and audio amplifier still are provided with wireless panel of charging on the bedside cupboard, and this wireless panel of charging is provided with wireless charging unit, and in this embodiment, the built-in treater of bedside cupboard, treater and each work unit connection, like this, the treater can be according to the work of each work unit of control command control. For example, the control of the up and down of the desk lamp and the ultraviolet disinfection lamp, for example, the control of the lighting of the floor lamp, for example, the control of the increase or decrease of the brightness of the desk lamp or the floor lamp, for example, the control of the increase or decrease of the volume of the sound box, for example, the control of the selection of the music player for playing songs.
In one embodiment, the step of detecting a current connection state to the internet in the voiceprint recognition mode further comprises:
when the current state of connecting to the Internet is a disconnected state, sending first indication information, and entering an offline control mode; receiving second voiceprint information of a user in the off-line control mode; detecting whether the second voiceprint information is matched with one of a plurality of prestored voiceprint control information; when the second voiceprint information is matched with one of a plurality of pieces of prestored voiceprint control information, determining the voiceprint control information matched with the second voiceprint information as offline control information; and acquiring an off-line control instruction corresponding to the off-line control information, and controlling a working unit on the bedside table to work based on the off-line control instruction.
In this embodiment, the bedside table is in a disconnected network state, and the trusted source server and the voice recognition server cannot be connected, so that the bedside table enters an offline control mode, and the user is informed of the currently disconnected network state through the first indication information. The first indication information is used for informing the user of the current network disconnection state, the first indication information can be sent by an indicator lamp on the bedside table in a lighting or flashing manner, or can be sent by a loudspeaker, for example, the loudspeaker sends a voice prompt of 'current network disconnection'. In the off-line control mode, second voiceprint information is received, and the second voiceprint information records simple voice characteristics without recording complicated content dictated by a user, so that the second voiceprint information can be effectively and accurately identified by processing the second voiceprint information by a processor local to the bedside table, and the complicated voice information does not need to be identified by the processor local to the bedside table. In this embodiment, the voiceprint control information is voiceprint information, and is pre-stored in the memory of the bedside table for the user.
In one embodiment, the intelligent bedside table control method based on the internet of things further comprises the following steps: when detecting a voiceprint information input trigger instruction, the bedside table enters a voiceprint information input mode, receives a plurality of voiceprint control information input by a user, establishes an incidence relation between the control instruction and the voiceprint control information based on the control instruction corresponding to the voiceprint control information and input by the user to the remote controller or the control panel, and stores the incidence relation between the control instruction and the voiceprint control information. In this embodiment, the voiceprint information entry trigger instruction may be input by a remote controller, or may be input by being triggered by an infrared sensor.
In this embodiment, the bedside table is further provided with a remote controller or a control panel, the bedside table can be remotely controlled through the remote controller, the control panel is arranged on the bedside table, a user can firstly input one piece of voiceprint control information in a voiceprint information entry mode, then input an offline control instruction through the remote controller or the control panel, and the bedside table associates the voiceprint control information with the offline control instruction, so that the association relationship between a plurality of voiceprint control information and the control instruction is realized. Therefore, in the off-line control mode, the user can control the bedside cabinet by inputting the second acoustic pattern information, and the bedside cabinet determines an off-line control instruction according to the second acoustic pattern information, so that the control of the bedside cabinet in the off-line and off-line states is realized. It is worth mentioning that, in this embodiment, because the information volume that the second voiceprint information carried is less, need not the treater of bedside cupboard to carry out complicated processing and can discern, it is lower to the throughput requirement, on the one hand, can save the processing resource of bedside cupboard, and on the other hand can effectively improve the recognition efficiency to the second voiceprint information to improve the control efficiency of off-line.
In this embodiment, the user can not only input the control instruction through the voice information, but also input the off-line control instruction through the voiceprint information, so that the user can control more flexibly, and the sound control can still be realized when the bedside table is disconnected from the network.
It should be understood that, although the bedside cabinet may be configured with a remote controller or a control panel, the user may still control the bedside cabinet by using voiceprint information and voice information, so that the user is more flexible, for example, the user does not need to hold the remote controller by hand, even if the remote controller is temporarily lost, the user can control the bedside cabinet by using the voiceprint information and voice information, and compared with the control panel, the control of the voiceprint information and voice information can be remotely implemented, so that the control is more convenient.
In one embodiment, the step of entering the voiceprint recognition mode when it is detected that the user enters the preset area further includes:
detecting whether voiceprint information of a user is received within first preset time; and exiting the voiceprint recognition mode when the voiceprint information of the user is not received within the first preset time.
In this embodiment, after the user enters the preset area and voiceprint information is not input within the first preset time, the bedside table automatically exits the voiceprint recognition mode, and at this time, when the user inputs the voiceprint information again, the user will not trigger recognition of the voiceprint information, and will not trigger encryption of voice information.
In one embodiment, when the current connection state to the internet is a networking state, the step of receiving the first voiceprint information of the user includes:
when the current state of connecting to the Internet is a networking state, detecting whether the first voiceprint information of the user is received or not; when the first voiceprint information of the user is received, the step of packaging the first voiceprint information into an encryption request and sending the encryption request to a trusted source server is executed; when the first voiceprint information of the user is not received, detecting whether the voice information of the user is received; when the voice information of the user is received, the voice information is sent to the voice recognition server; and receiving a control instruction obtained by analyzing the voice information by the voice recognition server, responding to the control instruction, and controlling the work unit on the bedside table to work.
In this embodiment, after entering the voiceprint recognition mode and the bedside table is currently in a networking state, whether first voiceprint information input by a user is received or not is detected, and when the first voiceprint information is detected, an encryption request is sent to a trusted source; if the first voiceprint information of the user is not detected, the voice information of the user is directly received, and the fact that the user does not need to encrypt the voice information is indicated, the voice information is directly sent to the voice recognition server, the voice recognition server directly recognizes the voice information to obtain a control instruction, and then after the voice recognition server feeds back the control instruction, the bedside cabinet controls the working unit on the bedside cabinet to work based on the control instruction. Under the condition, the voice information of the user does not need to be kept secret, the interaction efficiency with the server can be effectively improved, and the control efficiency is further improved.
In this embodiment, the first voiceprint information may be used as an encryption request to trigger the trusted source server to select an encryption key, and the user may select whether to input the first voiceprint information to select whether to encrypt the voice information, so that the user may control the voice information more flexibly.
In one embodiment, the step of detecting whether the user enters the preset area by using the infrared signal further includes: when the user is not detected to enter the preset area, detecting whether third voiceprint information of the user is received; and when third voiceprint information of the user is received, controlling the area indicator lamp to illuminate the preset area.
In this embodiment, this regional pilot lamp is ordinary light, and the regional illumination is predetermine to this regional pilot lamp orientation, and the shape of the irradiation range of this regional pilot lamp matches with predetermineeing the region, like this, through the illumination of this regional pilot lamp, can make the user can be clear, clearly and definitely predetermine regional position and scope, and the user of being convenient for sends voice information in predetermineeing the region and controls the bedside cupboard. The third voiceprint information is also simpler sound characteristic information and does not contain specific content. For example, the third voiceprint information is a sound of clapping a palm of a user, for example, the third voiceprint information is a sound of stepping on a floor of the user, for example, the third voiceprint information is a sound of clapping a drum by the user. For example, after the user sends the third voiceprint information, the area indicating lamp on the bedside table is triggered to emit light towards the preset area, and a circular aperture is formed in the preset area, so that the user knows that the area within the aperture range is the preset area, and the user can enter the voiceprint recognition mode after entering the aperture range and being detected by infrared rays.
In one embodiment, the step of receiving a control command obtained by the voice recognition server analyzing the voice message and controlling the work of the work unit on the bedside table in response to the control command further includes:
detecting whether the first voiceprint information is received again; when first voiceprint information is received, whether secondary voice information is received or not is detected within second preset time; when the secondary voice information is received within the second preset time, encrypting the secondary voice information based on the encryption key to obtain secondary voice encryption information; and sending the secondary voice encryption information to a voice recognition server, receiving a secondary control instruction obtained by analyzing the secondary voice encryption information by the voice recognition server, and controlling a working unit on the bedside table to work according to the secondary control instruction.
In this embodiment, after the user successfully controlled the bedside cupboard work through speech information, when needing to control the bedside cupboard work again, can input first voiceprint information again, the effect of first voiceprint information this moment is the receipt of triggering the bedside cupboard to secondary speech information, because during last speech control, encrypted secret key has been obtained, therefore, this time of control, need not to obtain encrypted secret key again, but directly encrypt secondary speech information based on existing encrypted secret key, after the speech recognition server discerns, the work of control bedside cupboard. Therefore, the interaction efficiency is effectively improved under the condition that the safety is guaranteed.
In one embodiment, the step of receiving a control command obtained by the voice recognition server analyzing the voice message, and controlling the work unit on the bedside table to work in response to the control command further includes:
sending a use label to the trusted source server, wherein the use label is used for identifying an encryption key which is sent to the bedside table on the trusted source and is used by the bedside table for encrypting voice information, the trusted source server receives the use label, and the encryption key sent to the bedside table in the previous steps is marked on the use label. In this embodiment, when the trusted source server receives the encryption request from the bedside table again, the number of the usage tags of each encryption key is obtained, and the encryption key with the smallest number of the usage tags is selected and sent to the bedside table. Therefore, the corresponding multiple encryption keys can be reused for the same bedside table, and the encryption key used in each time is the one with the least use times.
In one embodiment, the step of packaging the first voiceprint information into an encryption request, and sending the encryption request to a trusted source server includes:
acquiring identification information of a bedside table, performing XOR operation on two groups of values of character string data corresponding to first voiceprint information and the first two character string data of the identification information of the bedside table to obtain voiceprint XOR information, packaging the voiceprint XOR information and the identification information of the bedside table into an encryption request, and sending the encryption request to a trusted source server.
In this step, xor operation is performed on every two groups of values of the character string data corresponding to the first voiceprint information and the first two character string data of the identification information of the bedside table to obtain the voiceprint xor information, so that the real first voiceprint information can be hidden, even if the encryption request is intercepted, a party intercepting the encryption request cannot know the content carried by the first voiceprint information by reading the voiceprint xor information, and after xor operation, the data length of the voiceprint xor information can be effectively reduced, the data size of the request required to be sent is reduced, and the sending efficiency of the encryption request is improved. For example, the character string data corresponding to the first voiceprint information is 10110010 … …, the first two character string data of the identification information of the bedside table are 10, the voiceprint xor information obtained after the xor operation is 0110 … …, for example, the character string data corresponding to the first voiceprint information is 10110010 … … …, the first two character string data of the identification information of the bedside table is 11, the voiceprint xor information obtained after the xor operation is 1011 … …, then the voiceprint xor information and the identification information of the bedside table are packaged into an encryption request and sent to the trusted source server, the trusted source server can calculate the first voiceprint information based on the voiceprint xor information and the identification information of the bedside table, then the corresponding encryption key is confirmed based on the identification information of the bedside table and the first voiceprint information, and the encryption key is sent to the bedside table.
In this embodiment, the step of packaging the first voiceprint information into an encryption request and sending the encryption request to a trusted source server includes: when the current state of being connected to the Internet is a networking state, collecting current sound, analyzing the frequency of the current received sound, when the frequency of the current received sound is a preset frequency, determining that the sound is first sound, analyzing the waveform characteristics of the first sound, when the waveform characteristics of the first sound are matched with preset ripple characteristics, determining that the first sound is the sound corresponding to first voiceprint information, and performing waveform filtering on the waveform characteristics of the first sound based on a first positive threshold and a first negative threshold to obtain the first voiceprint information.
In this embodiment, the waveform feature is a waveform of sound, the waveform may be identified by a numerical value on a coordinate axis, where an X axis is a time axis, the first positive threshold is a positive value on a Y axis on the waveform coordinate axis, the first negative threshold is a negative value on the Y axis on the waveform coordinate axis, when the numerical value on the Y axis at a certain point on the waveform is smaller than the first positive threshold and larger than the first negative threshold, the numerical value is filtered, and the waveform feature of the first sound is subjected to waveform filtering at intervals of a third preset time on the coordinate axis based on the first positive threshold and the first negative threshold, so as to obtain first voiceprint information. The waveform is enabled to retain numerical values which are larger than a first positive threshold value or smaller than a first negative threshold value, so that discrete numerical values are formed, the discrete numerical values are the first voiceprint information, and therefore the data volume of the first voiceprint information can be effectively reduced, and the data volume of the encryption request can be effectively reduced. By extracting sequential waveform data at every third preset time, different voiceprint information can be distinguished.
In one embodiment, the step of sending the voice encryption information to a voice recognition server, decrypting the voice encryption information by the voice recognition server, and parsing the voice information includes:
the voice encryption information is sent to a voice recognition server, the voice recognition server obtains the identification information of the bedside table according to the voice encryption information, the identification information of the bedside table is packaged into a decryption key request, the decryption key request is sent to the trusted source server, the trusted source server responds to the decryption key request and sends a decryption key to the voice recognition server, the voice recognition server receives the decryption key, the voice encryption information is decrypted according to the decryption key, the voice information is obtained, and the voice information is analyzed.
In this embodiment, the voice recognition server does not store a decryption key in advance, the trusted source server is provided with a corresponding decryption key for each encryption key, and the voice encryption information sent by the bedside table includes encrypted voice information and identification information of the plaintext bedside table. After the trusted source server obtains the decryption key request, the encryption key which is issued to the bedside table for the last time is determined according to the identification information of the bedside table, so that the decryption key corresponding to the encryption key which is issued to the bedside table for the last time is sent to the voice recognition server.
It should be understood that, although the steps in the flowchart of fig. 1 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not limited to being performed in the exact order illustrated and, unless explicitly stated herein, may be performed in other orders. Moreover, at least a portion of the steps in fig. 1 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
Examples
In this embodiment, as shown in fig. 2, an intelligent bedside table control device based on the internet of things is provided, including:
a preset region entry detection module 201, configured to detect whether a user enters a preset region through an infrared signal;
a voiceprint recognition mode entering module 202, configured to enter a voiceprint recognition mode when it is detected that the user enters the preset area;
a networking state detection module 203, configured to detect a state of current connection to the internet in the voiceprint recognition mode;
the first voiceprint information receiving module 204 is configured to receive first voiceprint information of a user when a current state of connecting to the internet is a networking state;
an encryption request sending module 205, configured to package the first voiceprint information into an encryption request, and send the encryption request to a trusted source server;
an encryption key receiving module 206, configured to receive an encryption key issued by the trusted source server in response to the encryption request;
a voice information receiving module 207 for receiving voice information of a user;
the voice encryption module 208 is configured to encrypt the voice information based on the encryption key to obtain voice encryption information;
a voice encryption sending module 209, configured to send the voice encryption information to a voice recognition server, where the voice recognition server decrypts the voice encryption information and analyzes the voice information;
and the control module 210 is configured to receive a control instruction obtained by analyzing the voice information by the voice recognition server, and control a working unit on the bedside table to work in response to the control instruction.
For specific definition of the intelligent bedside table control device based on the internet of things, reference may be made to the above definition of the intelligent bedside table control method based on the internet of things, and details are not repeated here. All or part of all units in the intelligent bedside table control device based on the Internet of things can be realized through software, hardware and combination thereof. The units can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the units.
Examples
In this embodiment, a computer device is provided, and the computer device in this embodiment is a bedside table, or may be regarded as a computer device built in the bedside table. The internal structure thereof may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program, and is deployed with a database for storing user behavior data and a user representation. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is for communicating with a server over a network. The computer program is executed by the processor to realize the intelligent bedside table control method based on the Internet of things. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a control panel, or a remote controller connected through an infrared signal, or a key, a track ball or a touch pad arranged on the shell of the computer equipment, or an external keyboard, a touch pad or a mouse and the like. In addition, the bedside table is also provided with a loudspeaker and a microphone. The microphone is used for receiving sound, and the loudspeaker is used for outputting audio information.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the method for controlling an intelligent bedside table based on the internet of things in any embodiment.
Examples
In one embodiment, a computer-readable storage medium has a computer program stored thereon, and when the computer program is executed by a processor, the method for controlling an intelligent bedside table based on the internet of things in any one of the above embodiments is implemented.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
All possible combinations of the technical features in the above embodiments may not be described for the sake of brevity, but should be considered as being within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. The utility model provides an intelligent bedside cupboard control method based on thing networking which characterized in that includes:
detecting whether a user enters a preset area or not through an infrared signal;
when detecting that the user enters the preset area, entering a voiceprint recognition mode;
detecting a current state of connection to the internet in the voiceprint recognition mode;
when the current state of connecting to the Internet is a networking state, receiving first voiceprint information of a user, wherein the voiceprint is a sound characteristic emitted by the mouth of the user;
packaging the first voiceprint information into an encryption request, and sending the encryption request to a trusted source server;
receiving an encryption key issued by the trusted source server in response to the encryption request;
receiving voice information of a user;
encrypting the voice information based on the encryption key to obtain voice encryption information;
sending the voice encryption information to a voice recognition server, decrypting the voice encryption information by the voice recognition server, and analyzing the voice information;
and receiving a control instruction obtained by analyzing the voice information by the voice recognition server, responding to the control instruction, and controlling the work unit on the bedside table to work.
2. The intelligent bedside table control method based on the internet of things according to claim 1, wherein the step of detecting the current connection state to the internet in the voiceprint recognition mode further comprises:
when the current state of connecting to the Internet is a disconnected state, sending first indication information, and entering an offline control mode;
receiving second voiceprint information of the user in the off-line control mode, wherein the voiceprint is the sound characteristic emitted by the mouth of the user;
detecting whether the second voiceprint information is matched with one of a plurality of prestored voiceprint control information;
when the second voiceprint information is matched with one of a plurality of pieces of prestored voiceprint control information, determining the voiceprint control information matched with the second voiceprint information as offline control information;
and acquiring an off-line control instruction corresponding to the off-line control information, and controlling a working unit on the bedside table to work based on the off-line control instruction.
3. The intelligent bedside table control method based on the internet of things according to claim 2, wherein the step of entering the voiceprint recognition mode when the user is detected to enter the preset area further comprises:
detecting whether voiceprint information of a user is received within first preset time;
and when the voiceprint information of the user is not received within the first preset time, exiting the voiceprint recognition mode.
4. The intelligent bedside table control method based on the internet of things as claimed in claim 1, wherein when the current state of connection to the internet is a networking state, the step of receiving the first voiceprint information of the user comprises:
when the current state of connecting to the Internet is a networking state, detecting whether the first voiceprint information of the user is received;
when the first voiceprint information of the user is received, the step of packaging the first voiceprint information into an encryption request and sending the encryption request to a trusted source server is executed;
when the first voiceprint information of the user is not received, detecting whether the voice information of the user is received;
when the voice information of the user is received, the voice information is sent to the voice recognition server;
and receiving a control instruction obtained by analyzing the voice information by the voice recognition server, responding to the control instruction, and controlling the work unit on the bedside table to work.
5. The intelligent bedside table control method based on the internet of things according to claim 1, wherein the step of detecting whether the user enters the preset area through the infrared signal further comprises the following steps:
when the fact that the user enters the preset area is not detected, whether third voiceprint information of the user is received or not is detected, wherein the voiceprint is the sound feature emitted by the mouth of the user;
and when third voiceprint information of the user is received, controlling the area indicator lamp to illuminate the preset area.
6. The method for controlling the intelligent bedside table based on the internet of things according to claim 1, wherein the step of receiving a control command obtained by analyzing the voice information by the voice recognition server, and controlling the work unit on the bedside table to work in response to the control command further comprises the following steps:
detecting whether the first voiceprint information is received again;
when the first voiceprint information is received, whether secondary voice information is received or not is detected within second preset time;
when the secondary voice information is received within the second preset time, encrypting the secondary voice information based on the encryption key to obtain secondary voice encryption information;
and sending the secondary voice encryption information to a voice recognition server, receiving a secondary control instruction obtained by analyzing the secondary voice encryption information by the voice recognition server, and controlling a working unit on the bedside table to work according to the secondary control instruction.
7. The intelligent bedside cabinet control method based on the Internet of things as claimed in any one of claims 1 to 6, wherein the working unit on the bedside cabinet comprises at least one of a table lamp, a floor lamp, a sound box, a music player, a wireless charging unit, an air purifier and an ultraviolet disinfection lamp.
8. The utility model provides an intelligence bedside cupboard controlling means based on thing networking which characterized in that includes:
the device comprises a preset area entering detection module, a detection module and a control module, wherein the preset area entering detection module is used for detecting whether a user enters a preset area or not through an infrared signal;
a voiceprint recognition mode entering module, configured to enter a voiceprint recognition mode when it is detected that the user enters the preset area;
the networking state detection module is used for detecting the state of the current connection to the Internet in the voiceprint recognition mode;
the first voiceprint information receiving module is used for receiving first voiceprint information of a user when the current state of being connected to the Internet is a networking state, and the voiceprint is a sound characteristic emitted by the mouth of the user;
the encryption request sending module is used for packaging the first voiceprint information into an encryption request and sending the encryption request to a trusted source server;
an encryption key receiving module, configured to receive an encryption key issued by the trusted source server in response to the encryption request;
the voice information receiving module is used for receiving the voice information of the user;
the voice encryption module is used for encrypting the voice information based on the encryption secret key to obtain voice encryption information;
the voice encryption sending module is used for sending the voice encryption information to a voice recognition server, decrypting the voice encryption information by the voice recognition server and analyzing the voice information;
and the control module is used for receiving a control instruction obtained by analyzing the voice information by the voice recognition server and responding to the control instruction to control the work unit on the bedside table to work.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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| CN104284328A (en) * | 2013-07-09 | 2015-01-14 | 北京鼎普科技股份有限公司 | Method and device for encrypting mobile phone communication content |
| CN108354356A (en) * | 2018-04-19 | 2018-08-03 | 海南创兴高科技有限公司 | Nightstand with speech recognition and its control method |
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