Remote indoor temperature control system based on voice recognition technology

Abstract

The invention provides a remote indoor temperature control system based on a voice recognition technology, and relates to the technical field of voice recognition. Recognizing the voice instruction based on a voice recognition model to obtain voiceprint features and voice texts; judging whether the voiceprint features meet a user white list or not; when the voiceprint features meet the user white list, performing word segmentation processing on the voice text to obtain control keywords; and executing corresponding operation on the indoor temperature control equipment based on the control keyword to realize remote temperature control. According to the invention, the user can easily adjust the indoor temperature only by sending out a simple voice instruction, and does not need to tediously and manually operate physical keys or specially open a mobile phone APP.

Description

Technical Field

[0001] The present invention relates to the field of speech recognition technology, and in particular to a remote indoor temperature control system based on speech recognition technology. Background Art

[0002] With the rapid development of science and technology and the continuous progress of society, people have become more demanding in terms of quality of life, and are pursuing a more convenient, comfortable and personalized home environment. Therefore, smart home control systems have emerged, and with their high convenience and intelligence, they have quickly won the favor of the majority of users.

[0003] However, despite the many conveniences brought by smart home systems, existing indoor temperature control systems still have some shortcomings. Most systems still rely on traditional physical buttons or mobile phone apps for operation. Although this method is feasible, it lacks in intelligence. When users adjust the indoor temperature, they may need to walk to the control device in person or take out their mobile phones to operate, which is not only a little cumbersome, but also inflexible and inconvenient.

[0004] Therefore, a remote indoor temperature control system based on speech recognition technology is proposed. Summary of the invention

[0005] This manual provides a remote indoor temperature control system based on voice recognition technology. Users can easily adjust the indoor temperature by simply issuing simple voice commands, without the tedious manual operation of physical buttons or opening the mobile phone APP.

[0006] This specification provides a remote indoor temperature control system based on voice recognition technology, including: Get voice commands; Recognize the voice command based on the voice recognition model to obtain voiceprint features and voice text; Determine whether the voiceprint feature meets the user whitelist; When the voiceprint feature meets the user whitelist, the voice text is segmented to obtain control keywords; Based on the control keywords, corresponding operations are performed on the indoor temperature control equipment to achieve remote temperature control.

[0007] Optionally, obtaining the voice instruction includes: obtaining a wake-up word and a voice instruction through a voice assistant device, and after the voice assistant device obtains the wake-up word, recording and saving the voice instruction.

[0008] Optionally, the voice command is recognized based on a voice recognition model to obtain a voiceprint feature and a voice text, including: Preprocessing the voice command, and analyzing the preprocessed voice command to obtain voiceprint features; The voice instruction is decoded based on grammatical rules and a vocabulary library to generate voice text.

[0009] Optionally, the preprocessing of the voice command includes: quantizing, pre-emphasizing, framing, and windowing the voice command.

[0010] Optionally, the pre-emphasis includes processing the voice command through a first-order high-pass digital filter.

[0011] Optionally, the method further includes: when the voiceprint feature does not satisfy the user whitelist, sending a voice command failure message to the user.

[0012] Optionally, performing corresponding operations on the indoor temperature control device based on the control keyword to achieve remote temperature control includes: Analyze the control keyword to obtain the type of the keyword; wherein the type of the control keyword includes temperature value type, action type, area identification type, and auxiliary type; According to the control keyword of the action type and the control keyword of the auxiliary type, adjust the indoor temperature control equipment of the indoor area corresponding to the control keyword of the area identification type, and adjust its value to be consistent with the control keyword of the temperature value type to realize remote temperature control.

[0013] Optionally, before performing corresponding operations on the indoor temperature control device based on the keyword to realize remote temperature control, the method includes: Get the current indoor and outdoor temperature; Determining whether the keyword of the temperature value type is reasonable based on the current indoor and outdoor temperatures; When the current indoor and outdoor temperatures determine that the control keyword of the temperature value type is reasonable, a corresponding operation is performed on the indoor temperature control device based on the control keyword to achieve remote temperature control.

[0014] Optionally, also include: Obtain the movement status of people indoors; Determining whether the indoor person is active; When the indoor person is not active, an energy-saving reminder message is sent to the user.

[0015] In this manual, users only need to issue simple voice commands to easily adjust the indoor temperature, without the tedious manual operation of physical buttons or opening the mobile phone APP. This interactive method is not only intuitive and natural, but also allows users to experience unprecedented convenience and comfort, making temperature control simple and efficient, greatly improving the user's quality of life and satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 This is a hardware structure block diagram of a mobile terminal for remote indoor temperature control based on voice recognition technology according to an embodiment of the present invention; Figure 2 is a flow chart of a remote indoor temperature control method based on speech recognition technology according to an embodiment of the present invention; Figure 3 is a structural block diagram of a remote indoor temperature control terminal based on voice recognition technology according to an embodiment of the present invention; Figure 4 4 is a structural block diagram of a remote indoor temperature control server based on speech recognition technology according to an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0018] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0019] The method embodiment provided in the first embodiment of the present application can be executed in a mobile terminal, a computer terminal, a server or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 1 is a hardware structure block diagram of a remote indoor temperature control mobile terminal based on voice recognition technology according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal 10 may include one or more ( Figure 1 Only one is shown in the figure) processor 102 (processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data. Optionally, the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is for illustration only and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0020] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the remote indoor temperature control method based on voice recognition technology in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the mobile terminal 10 via a network. Examples of the above network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0021] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the mobile terminal 10. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0022] In this embodiment, a clean room cleanliness detection method running on a terminal or a server is provided. Figure 2 is a flow chart of a remote indoor temperature control method based on speech recognition technology according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps: Step S110, obtaining a voice command; In one implementation of this embodiment, S110 includes: obtaining a wake-up word and a voice command through a voice assistant device, and after the voice assistant device obtains the wake-up word, recording and saving the voice command.

[0023] In this manual, the voice assistant device is in standby mode, waiting to be woken up by the user. When the user says the preset wake-up word, the built-in microphone of the device will capture the sound signal. Once the voice assistant device recognizes the wake-up word, it will immediately start the recording function and start recording the user's subsequent voice commands. After the recording is completed, the voice assistant device will temporarily / permanently save the recording file of the voice command in the local storage of the device or cloud storage. The saved file format is usually a common audio format, such as WAV, MP3, etc.

[0024] Step S120, recognizing the voice command based on a voice recognition model to obtain voiceprint features and voice text; In one implementation of this embodiment, the S120 includes: Preprocessing the voice command, and analyzing the preprocessed voice command to obtain voiceprint features; The voice instruction is decoded based on grammatical rules and a vocabulary library to generate voice text.

[0025] In one implementation of this embodiment, the preprocessing of the voice instruction includes: quantizing, pre-emphasizing, framing, and windowing the voice instruction.

[0026] In this specification, quantization operation is to balance noise and distortion by selecting appropriate quantization precision. Pre-emphasis is to process the input voice command to increase the energy of the high-frequency part, remove the influence of lip radiation, and increase the high-frequency resolution of the voice. Each frame of voice command is windowed to reduce the discontinuity between frames and extract the short-term features of each frame.

[0027] In one implementation of this embodiment, the pre-emphasis includes processing the voice command through a first-order high-pass digital filter.

[0028] In this specification, the design of the first-order high-pass filter for pre-emphasis is usually based on a specific transfer function, such as H(z)= 1 -μz^(-1), where μ is the coefficient of the filter. For voiced signals, μ is usually set to 0.95 or 0.975; for unvoiced signals, μ is generally smaller. This filter is designed to boost speech signals above the 800Hz frequency band and compensate for the amplitude drop of 6dB / octave. The voiceprint feature extraction is extracted from the preprocessed speech signal through algorithms such as MFCC (Mel Frequency Cepstral Coefficients) to extract voiceprint features that can reflect the speech characteristics.

[0029] Step S130, determining whether the voiceprint feature satisfies the user whitelist; In an implementation of this embodiment, it also includes: when the voiceprint feature does not meet the user whitelist, sending a voice command failure message to the user.

[0030] In this specification, if the voiceprint feature meets the user whitelist, that is, the voiceprint feature matches a record in the whitelist, then the user is considered an authorized user and can further perform subsequent operations or access related resources. If the voiceprint feature does not meet the user whitelist, that is, no matching voiceprint feature is found, then the user is considered unauthorized and the system sends a voice command failure message to the user.

[0031] Step S140, when the voiceprint feature meets the user whitelist, segment the voice text to obtain control keywords; In this specification, the speech text is segmented using a word segmentation algorithm, which includes rule-based segmentation, statistical-based segmentation, and hybrid methods. Specifically, the speech text "turn on the living room light" will be segmented into "turn on", "living room", and "light". The control keywords are extracted using methods such as word frequency statistics and TF-IDF (word frequency-inverse document frequency).

[0032] In one implementation of this embodiment, before S150, the steps include: Get the current indoor and outdoor temperature; Determining whether the control keyword of the temperature value type is reasonable based on the current indoor and outdoor temperatures; When the current indoor and outdoor temperatures determine that the control keyword of the temperature value type is reasonable, a corresponding operation is performed on the indoor temperature control device based on the control keyword to achieve remote temperature control.

[0033] In this manual, the difference between the current indoor temperature and the outdoor temperature is compared. If the user requires the indoor temperature to be adjusted to a value that is very close to or exactly the same as the outdoor temperature, but the indoor and outdoor temperature difference is too large, then this instruction may be unreasonable. Check whether the temperature value set by the user is within the adjustable range of the indoor temperature control device. If it is out of range, the instruction is unreasonable. Based on the current season, weather conditions and indoor and outdoor temperature difference, determine whether the temperature value set by the user is within a reasonable comfort range.

[0034] Step S150: performing corresponding operations on the indoor temperature control device based on the control keyword to achieve remote temperature control.

[0035] In one implementation of this embodiment, the S150 includes: Analyze the control keyword to obtain the type of the control keyword; wherein the type of the control keyword includes a temperature value type, an action type, an area identification type, and an auxiliary type; According to the control keyword of the action type and the control keyword of the auxiliary type, adjust the indoor temperature control equipment of the indoor area corresponding to the control keyword of the area identification type, and adjust its value to be consistent with the control keyword of the temperature value type to realize remote temperature control.

[0036] In this manual, keywords are divided into different types according to their semantics and functions. Temperature value type: indicates a specific temperature value, such as "25 degrees", "30 degrees Celsius", etc. Action type: indicates the operation that the temperature control device should perform, such as "increase", "lower", "set", etc. Area identification type: identifies the indoor area where the temperature needs to be adjusted, such as "living room", "bedroom", "study", etc. Auxiliary type: provides additional control information or conditions, such as "immediately", "slowly", "maintain", etc.

[0037] In one implementation of this embodiment, it also includes: Obtain the movement status of people indoors; Determining whether the indoor person is active; When the indoor person is not active, an energy-saving reminder message is sent to the user.

[0038] In this manual, motion sensors such as infrared sensors, cameras or radar sensors are deployed at key locations indoors. These motion sensors will continuously monitor the activities of people indoors and collect motion data, such as the speed, direction, and frequency of human movement. By analyzing indicators such as the movement speed, activity range, and activity duration of people, it can be determined whether the movement of people indoors is active. According to actual needs, a reasonable activity threshold is set. For example, if the indoor person hardly moves or moves within a certain period of time, it can be judged as an inactive state. By monitoring the movement of indoor people in real time and sending energy-saving reminder information when they are inactive, this function helps users pay more attention to household energy consumption and take energy-saving measures, thereby reducing energy consumption and achieving environmental protection goals.

[0039] In this manual, users only need to issue simple voice commands to easily adjust the indoor temperature, without the tedious manual operation of physical buttons or opening the mobile phone APP. This interactive method is not only intuitive and natural, but also allows users to experience unprecedented convenience and comfort, making temperature control simple and efficient, greatly improving the user's quality of life and satisfaction.

[0040] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0041] In this embodiment, a remote indoor temperature control system based on voice recognition technology is also provided, which can be a terminal or a server, etc. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0042] Figure 3 is a structural block diagram of a remote indoor temperature control terminal based on speech recognition technology according to an embodiment of the present invention. Figure 3 As shown, the device comprises: An acquisition module 31 is used to acquire a voice command; A recognition module 32, used to recognize the voice command based on a voice recognition model to obtain voiceprint features and voice text; A judgment module 33, used to judge whether the voiceprint feature meets the user whitelist; A processing module 34 is used to perform word segmentation processing on the voice text to obtain control keywords when the voiceprint feature meets the user whitelist; The control module 35 is used to perform corresponding operations on the indoor temperature control device based on the control keywords to achieve remote temperature control.

[0043] In one implementation of this embodiment, the acquisition module 31 includes: acquiring a wake-up word and a voice instruction through a voice assistant device, and after the voice assistant device acquires the wake-up word, recording and saving the voice instruction.

[0044] In one implementation of this embodiment, the identification module 32 includes: Preprocessing the voice command, and analyzing the preprocessed voice command to obtain voiceprint features; The voice instruction is decoded based on grammatical rules and a vocabulary library to generate voice text.

[0045] In one implementation of this embodiment, the preprocessing of the voice instruction includes: quantizing, pre-emphasizing, framing, and windowing the voice instruction.

[0046] In one implementation of this embodiment, the pre-emphasis includes processing the voice command through a first-order high-pass digital filter.

[0047] In an implementation of this embodiment, it also includes: when the voiceprint feature does not meet the user whitelist, sending a voice command failure message to the user.

[0048] In one implementation of this embodiment, the control module 35 includes: Analyze the control keyword to obtain the type of the keyword; wherein the type of the control keyword includes temperature value type, action type, area identification type, and auxiliary type; According to the control keyword of the action type and the control keyword of the auxiliary type, adjust the indoor temperature control equipment of the indoor area corresponding to the control keyword of the area identification type, and adjust its value to be consistent with the control keyword of the temperature value type to realize remote temperature control.

[0049] In one implementation of this embodiment, before the control module 35, it includes: Get the current indoor and outdoor temperature; Determining whether the keyword of the temperature value type is reasonable based on the current indoor and outdoor temperatures; When the current indoor and outdoor temperatures determine that the control keyword of the temperature value type is reasonable, a corresponding operation is performed on the indoor temperature control device based on the control keyword to achieve remote temperature control.

[0050] In one implementation of this embodiment, it also includes: Obtain the movement status of people indoors; Determining whether the indoor person is active; When the indoor person is not active, an energy-saving reminder message is sent to the user.

[0051] Figure 4 is a structural block diagram of a remote indoor temperature control server based on speech recognition technology according to an embodiment of the present invention. Figure 4 As shown, the device comprises: An acquisition module 31 is used to acquire a voice command; A recognition module 32, used to recognize the voice command based on a voice recognition model to obtain voiceprint features and voice text; A judgment module 33, used to judge whether the voiceprint feature meets the user whitelist; A processing module 34 is used to perform word segmentation processing on the voice text to obtain control keywords when the voiceprint feature meets the user whitelist; The control module 35 is used to perform corresponding operations on the indoor temperature control device based on the control keywords to achieve remote temperature control.

[0052] In one implementation of this embodiment, the acquisition module 31 includes: acquiring a wake-up word and a voice instruction through a voice assistant device, and after the voice assistant device acquires the wake-up word, recording and saving the voice instruction.

[0053] In one implementation of this embodiment, the identification module 32 includes: Preprocessing the voice command, and analyzing the preprocessed voice command to obtain voiceprint features; The voice instruction is decoded based on grammatical rules and a vocabulary library to generate voice text.

[0054] In one implementation of this embodiment, the preprocessing of the voice instruction includes: quantizing, pre-emphasizing, framing, and windowing the voice instruction.

[0055] In one implementation of this embodiment, the pre-emphasis includes processing the voice command through a first-order high-pass digital filter.

[0056] In an implementation of this embodiment, it also includes: when the voiceprint feature does not meet the user whitelist, sending a voice command failure message to the user.

[0057] In one implementation of this embodiment, the control module 35 includes: Analyze the control keyword to obtain the type of the keyword; wherein the type of the control keyword includes temperature value type, action type, area identification type, and auxiliary type; According to the control keyword of the action type and the control keyword of the auxiliary type, adjust the indoor temperature control equipment of the indoor area corresponding to the control keyword of the area identification type, and adjust its value to be consistent with the control keyword of the temperature value type to realize remote temperature control.

[0058] In one implementation of this embodiment, before the control module 35, it includes: Get the current indoor and outdoor temperature; Determining whether the keyword of the temperature value type is reasonable based on the current indoor and outdoor temperatures; When the current indoor and outdoor temperatures determine that the control keyword of the temperature value type is reasonable, a corresponding operation is performed on the indoor temperature control device based on the control keyword to achieve remote temperature control.

[0059] In one implementation of this embodiment, it also includes: Obtain the movement status of people indoors; Determining whether the indoor person is active; When the indoor person is not active, an energy-saving reminder message is sent to the user.

[0060] It should be noted that the terminal and the server are only different in the execution subject of the scheme. The various examples and optional schemes in the above-mentioned identification terminal are also applicable to the server and produce the same technical effects.

[0061] It should be noted that the above modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0062] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0063] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps: Step S110, obtaining a voice command; Step S120, recognizing the voice command based on a voice recognition model to obtain voiceprint features and voice text; Step S130, determining whether the voiceprint feature satisfies the user whitelist; Step S140, when the voiceprint feature meets the user whitelist, segment the voice text to obtain control keywords; Step S150: performing corresponding operations on the indoor temperature control device based on the control keyword to achieve remote temperature control.

[0064] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store computer programs.

[0065] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0066] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0067] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program: Step S110, obtaining a voice command; Step S120, recognizing the voice command based on a voice recognition model to obtain voiceprint features and voice text; Step S130, determining whether the voiceprint feature satisfies the user whitelist; Step S140, when the voiceprint feature meets the user whitelist, segment the voice text to obtain control keywords; Step S150: performing corresponding operations on the indoor temperature control device based on the control keyword to achieve remote temperature control.

[0068] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0069] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0070] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A remote indoor temperature control system based on voice recognition technology, characterized in that: include: Get voice commands; Recognize the voice command based on the voice recognition model to obtain voiceprint features and voice text; Determine whether the voiceprint feature meets the user whitelist; When the voiceprint feature meets the user whitelist, the voice text is segmented to obtain control keywords; Based on the keywords, corresponding operations are performed on the indoor temperature control equipment to achieve remote temperature control.

2. The remote indoor temperature control system based on voice recognition technology as claimed in claim 1, characterized in that: The obtaining of the voice command includes: obtaining a wake-up word and a voice command through a voice assistant device, and after the voice assistant device obtains the wake-up word, recording and saving the voice command.

3. The remote indoor temperature control system based on voice recognition technology as claimed in claim 2, characterized in that: The voice command is recognized based on the voice recognition model to obtain voiceprint features and voice text, including: Preprocessing the voice command, and analyzing the preprocessed voice command to obtain voiceprint features; The voice instruction is decoded based on grammatical rules and a vocabulary library to generate voice text.

4. The remote indoor temperature control system based on voice recognition technology as claimed in claim 3, characterized in that: The preprocessing of the voice command includes: quantizing, pre-emphasizing, framing, and windowing the voice command.

5. The remote indoor temperature control system based on voice recognition technology as claimed in claim 4, characterized in that: The pre-emphasis includes processing the voice command through a first-order high-pass digital filter.

6. The remote indoor temperature control system based on voice recognition technology as claimed in claim 5, characterized in that: Also includes: When the voiceprint feature does not satisfy the user whitelist, a voice command failure message is sent to the user.

7. The remote indoor temperature control system based on voice recognition technology as claimed in claim 6, characterized in that: The performing corresponding operations on the indoor temperature control device based on the control keyword to realize remote temperature control includes: Analyze the control keyword to obtain the type of the control keyword; wherein the type of the control keyword includes a temperature value type, an action type, an area identification type, and an auxiliary type; According to the control keyword of the action type and the control keyword of the auxiliary type, adjust the indoor temperature control equipment of the indoor area corresponding to the control keyword of the area identification type, and adjust its value to be consistent with the control keyword of the temperature value type to realize remote temperature control.

8. The remote indoor temperature control system based on voice recognition technology as claimed in claim 7, characterized in that: Before the corresponding operation is performed on the indoor temperature control device based on the control keyword to realize remote temperature control, the method includes: Get the current indoor and outdoor temperature; Determining whether the control keyword of the temperature value type is reasonable based on the current indoor and outdoor temperatures; When the current indoor and outdoor temperatures determine that the control keyword of the temperature value type is reasonable, corresponding operations are performed on the indoor temperature control device based on the control keyword to achieve remote temperature control.

9. The remote indoor temperature control system based on voice recognition technology as claimed in claim 8, characterized in that: Also includes: Obtain the movement status of people indoors; Determining whether the indoor person is active in exercise; When the indoor person is not active, an energy-saving reminder message is sent to the user.

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