Toilet intelligent system and toilet

Abstract

The invention relates to the field of smart home, in particular to a toilet intelligent system and a toilet, and the toilet intelligent system comprises a real-time acquisition module, an intelligent transmission module, an intelligent analysis module, an active regulation and control module, a voice recognition module and a voice intelligent control module; according to the toilet intelligent system and the toilet, the sensors are installed in the toilet, gas signals and sound signals in the toilet are collected, a detection and recognition algorithm is used for recognizing air components in the toilet, a toilet exhaust system is actively regulated and controlled, a noise reduction and recognition algorithm is used for analyzing voice instructions of a user, and the toilet intelligent system is obtained. The invention discloses an intelligent regulation and control bathroom shower system.

Description

Technical Field

[0001] The present invention relates to the field of smart homes, and in particular to a bathroom smart system and a bathroom. Background Art

[0002] With the rapid development of modern technology, smart home systems have become an important part of people's pursuit of high-quality life. Smart home systems achieve comprehensive monitoring and intelligent management of home environments through various sensing technologies, data analysis and control algorithms. However, the development of bathroom systems with a higher degree of intelligence is relatively slow. Most of the smart bathroom products on the market currently have single functions and cannot meet users' needs for health, safety, convenience and comfortable life.

[0003] Traditional toilet systems mainly rely on manual operation to control facilities such as exhaust, lighting and water flow. This mode of operation has many shortcomings. First, the sanitary environment is difficult to monitor. Traditional toilets lack the ability to monitor air quality in real time, and it is difficult to detect and deal with odors and harmful gases in a timely manner, which not only affects the user's comfort, but also may pose a potential threat to health. Secondly, manual operation is not convenient enough. Users need to frequently manually adjust the lighting and exhaust systems, which is not only cumbersome to operate, but also prone to energy waste. In addition, in a noisy environment, traditional voice recognition technology is difficult to accurately recognize user commands and has a low degree of intelligence.

[0004] Although the current smart toilet system has improved the user experience to a certain extent, there are still many problems. For example, many smart toilet systems only have basic air quality monitoring functions and lack intelligent analysis and active control capabilities. Existing air quality monitoring equipment can usually only detect a limited number of gas components, cannot fully monitor the air quality in the toilet, and cannot automatically adjust the exhaust system based on the test results. In addition, existing smart toilet systems mostly use traditional voice recognition technology, which is easily disturbed by environmental noise such as water flow noise, resulting in low recognition accuracy and affecting user experience.

[0005] The development trend of smart home systems is to achieve a higher level of intelligence and automation through multi-sensor data fusion, advanced data analysis and artificial intelligence algorithms. However, the current development of smart bathroom systems in these aspects is not mature enough. First, the application of multi-sensor data fusion technology is less. Although some high-end smart bathroom systems are equipped with gas sensors and temperature and humidity sensors, the ability of these sensors to work together is limited, and comprehensive environmental monitoring and data analysis cannot be achieved. Secondly, the application of data analysis and artificial intelligence algorithms is insufficient. Existing systems mostly rely on simple threshold judgment and control logic, which makes it difficult to achieve intelligent analysis and optimization control of complex environmental data. Finally, the active regulation capability is limited. Most smart bathroom systems can only perform simple exhaust and lighting control according to preset rules, and lack the ability to perform dynamic regulation based on real-time environmental data. Summary of the invention

[0006] The purpose of the present invention is to provide a bathroom intelligent system and bathroom, which realizes comprehensive monitoring and intelligent management of the bathroom environment through the collaborative work of modules such as real-time acquisition, intelligent transmission, intelligent analysis and active regulation. Through multi-sensor data fusion, advanced data analysis and artificial intelligence algorithms, comprehensive monitoring and intelligent management of the bathroom environment are realized. The system can not only monitor the air quality in the bathroom in real time, but also automatically adjust the exhaust system according to the analysis results to maintain good air quality. In addition, the system adopts advanced voice recognition technology, which can accurately recognize the user's voice commands even in complex environments such as water flow noise, and perform corresponding intelligent control, thereby greatly improving the user's experience. Compared with the existing technology, the present invention has significant advantages in terms of intelligence, environmental monitoring and control capabilities, and has broad application prospects.

[0007] In order to achieve the above-mentioned purpose, the present invention proposes a bathroom intelligent system, including a real-time acquisition module, an intelligent transmission module, an intelligent analysis module, an active regulation module, a voice recognition module, and a voice intelligent control module; the real-time acquisition module collects data in real time through sensors installed in the bathroom; the intelligent transmission module transmits the collected data to a home host through a network protocol; the intelligent analysis module uses a detection and recognition algorithm to intelligently analyze the air composition in the bathroom; the active regulation module automatically turns on the exhaust system and regulates the air in the bathroom based on the analysis results of the gas composition in the bathroom; the voice recognition module constructs an intelligent voice recognition model through a noise reduction recognition algorithm, and intelligently recognizes the user's voice under the influence of water flow noise; the voice intelligent control module recognizes the user's voice based on the intelligent voice recognition model, and the home host transmits control instructions to the bathroom shower system to intelligently control the bathroom.

[0008] Furthermore, the real-time acquisition module collects the data required for the intelligent control of the bathroom in real time through sensors installed in the bathroom. The sensors include gas sensors and voice sensors. The data required for the intelligent control of the bathroom include gas data and voice data.

[0009] Furthermore, the intelligent transmission module transmits the collected gas data and voice data in real time through the home wireless local area network to the home host. The home host is a small computer used to analyze and process data and output control instructions to the bathroom equipment. The network transmission protocol adopts the Transmission Control Protocol / User Datagram Protocol.

[0010] Furthermore, the detection and recognition algorithm organizes the gas data into time series data, constructs a feature recognition network, calculates the hidden state of the time series data, uses the iterator to iterate, optimizes the gas characteristic parameters by constructing the loss function, and analyzes the gas composition characteristics.

[0011] Further, the gas composition characteristics are analyzed, and the detailed process is as follows:

[0012] The real-time collected toilet gas data is time series data, expressed as:

[0013] ;

[0014] in, represents the time series data set of gas in the bathroom, They represent the data of the first moment of the time series data set of the gas in the bathroom, the data of the second moment of the time series data set of the gas in the bathroom, and the data of the second moment of the time series data set of the gas in the bathroom. The data at the moment, the time series data set of the gas in the bathroom The data at each moment is multidimensional data, represented by a multidimensional vector. A feature recognition network is constructed, and the collected data is input into the feature recognition network. The hidden state is first calculated. The calculation formula is as follows:

[0015] ;

[0016] in, Represents the time series data of gas in the bathroom No. values, Represents the time series data of gas in the bathroom No. The weight of the value, , Represents the time series data of gas in the bathroom The hidden state of Values, time series data of gas in the bathroom The hidden state of values, Represents the time series data of gas in the bathroom The hidden state of The hidden weights of the values ​​are used to construct an iterator in the feature recognition network for feature analysis. During the iteration process, each round of iteration generates a single iterator, and each round of single iterators is combined to construct a multi-layer iterator, which is expressed as follows:

[0017] ;

[0018] in, A multi-layer iterator representing the t-th layer iteration, Indicates a single iterator of iterations, Indicates The combined impact weight of a single iterator for iterations, Represents the parameters in the iterator, and the loss function is constructed during the iteration process, which is expressed as:

[0019] ;

[0020] in, Indicates The loss function of the iteration is, express The feature labels, express Iteration features, Indicates The single iterator of iterations is based on minimizing the loss function and analyzing the iteration characteristics. The calculation formula is as follows:

[0021] ;

[0022] in, It indicates that the value of the parameter that makes the value in the brackets minimum is sought, and the parameters are updated through continuous iteration, and the characteristics of the components in the gas are analyzed and identified. The detection and identification algorithm proposed in the present invention first organizes the gas data to form time series data, constructs a characteristic recognition network, calculates the hidden state of the time series data, and continuously iterates using a single iterator and a multi-layer iterator. By constructing a loss function, minimizing the loss function, analyzing the iterative characteristics, optimizing the gas characteristic parameters, and analyzing the gas component characteristics, the detection and identification algorithm proposed in the present invention is optimized through multiple iterators, which improves the accuracy of gas component analysis and identification.

[0023] Furthermore, the active control module, based on the analysis results of the gas composition in the bathroom, the bathroom exhaust system will automatically work to exhaust the bathroom, actively control the air in the bathroom, maintain the air composition in the bathroom within the most comfortable range for the user, and maintain the user's comfort level in the bathroom.

[0024] Furthermore, the noise reduction recognition algorithm constructs a noise signal filtering model to perform noise filtering, uses the filtering objective function to update the filter coefficient vector, optimizes the noise signal filtering model, and constructs an intelligent speech recognition model.

[0025] Furthermore, the noise signal filtering model is optimized to build an intelligent speech recognition model. The detailed process is as follows:

[0026] For the sound signals collected in the bathroom, a noise signal filtering model is constructed to perform noise reduction operations on the sound signals. First, for the collected sound signals, an initial sound signal matrix is ​​formed , which is expressed as follows:

[0027] ;

[0028] in, Represent the initial sound signal matrix Vector data at the first moment, initial sound signal matrix Second moment vector data, initial sound signal matrix No. Time vector data, initial sound signal matrix No. The moment vector data is filtered through the noise signal filtering model to filter the initial sound signal. The filtering operation is expressed as follows:

[0029] ;

[0030] in, express The output of the noise signal filtering model at time instant, Indicates Sub-initial sound signal matrix No. The filter coefficient vector of the time vector data, Represents the convolution operation, adjusts the filter coefficient vector, optimizes the noise signal filtering model, constructs the filter objective function, and the update rule of the filter coefficient vector. The filter objective function formula , the formula is as follows:

[0031] ;

[0032] in, Indicates Sub-initial sound signal matrix No. The filter coefficient vector of the time vector data, Represents the square of the 2-norm. Based on the filtering objective function, the filter coefficient vector is updated. The update rule is as follows:

[0033] ;

[0034] in, express The ideal output of the noise signal filtering model at each moment is obtained by continuously updating the filter coefficient vector to optimize the noise signal filtering model. The noise reduction recognition algorithm proposed in the present invention constructs a noise signal filtering model, performs noise filtering, and then uses the filtering objective function to update the filter coefficient vector to optimize the noise signal filtering model. Compared with other noise reduction algorithms, the noise reduction recognition algorithm proposed in the present invention uses the filtering objective function to update the filter coefficient vector, thereby improving the noise reduction effect.

[0035] Furthermore, the voice intelligent control module, based on the results of user voice recognition analysis, the home host transmits control instructions to the bathroom shower system, and the shower system receives the control instructions to accurately control the shower water temperature, shower mode, and shower water flow.

[0036] Furthermore, the smart bathroom includes any one of the above-mentioned smart bathroom systems.

[0037] The beneficial effects of the present invention are as follows:

[0038] 1. The detection and recognition algorithm proposed in the present invention first organizes the gas data to form time series data, constructs a feature recognition network, calculates the hidden state of the time series data, uses a single iterator and a multi-layer iterator, continuously iterates, and optimizes the gas characteristic parameters by constructing a loss function, minimizing the loss function, analyzing the iterative characteristics, analyzing the gas component characteristics, and detecting and recognizing the algorithm. It is optimized through multiple iterators, thereby improving the accuracy of gas component analysis and recognition;

[0039] 2. The noise reduction recognition algorithm proposed in the present invention constructs a noise signal filtering model to perform noise filtering, and then uses the filtering objective function to update the filtering coefficient vector to optimize the noise signal filtering model. Compared with other noise reduction algorithms, the noise reduction recognition algorithm proposed in the present invention uses the filtering objective function to update the filtering coefficient vector, thereby improving the noise reduction effect;

[0040] 3. The intelligent bathroom system proposed in the present invention provides users with a full range of intelligent services through functions such as real-time acquisition, intelligent transmission, intelligent analysis and active regulation. Users can control bathroom equipment through voice commands without manual operation, which is more convenient to use. At the same time, the system can automatically adjust the air quality, temperature and humidity in the bathroom according to environmental data to provide a more comfortable use environment. In addition, the intelligent management function of the system can also improve the quality of life of users and bring users a more intelligent and convenient life experience. Multi-sensor data fusion, advanced data analysis algorithms and artificial intelligence technology are adopted to achieve a high level of intelligence and automation. Compared with traditional bathroom systems, the present invention has significant technical advantages in environmental monitoring, data analysis, active regulation and voice recognition. The real-time acquisition and intelligent analysis functions of the system can comprehensively monitor and analyze the environmental data in the bathroom, providing more accurate and comprehensive environmental information. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings in the following description are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0042] Figure 1 is a system schematic diagram of the present invention; DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] See also Figure 1In order to achieve the above-mentioned purpose, the present invention proposes a bathroom intelligent system, including a real-time acquisition module, an intelligent transmission module, an intelligent analysis module, an active regulation module, a voice recognition module, and a voice intelligent control module; the real-time acquisition module collects data in real time through sensors installed in the bathroom; the intelligent transmission module transmits the collected data to the home host through a network protocol; the intelligent analysis module uses a detection and recognition algorithm to intelligently analyze the air composition in the bathroom; the active regulation module automatically turns on the exhaust system based on the analysis results of the gas composition in the bathroom to regulate the air in the bathroom; the voice recognition module constructs an intelligent voice recognition model through a noise reduction recognition algorithm to intelligently recognize the user's voice under the influence of water flow noise; the voice intelligent control module recognizes the user's voice based on the intelligent voice recognition model, and the home host transmits control instructions to the bathroom shower system to intelligently control the bathroom.

[0045] See also Figure 1 Specifically, the real-time acquisition module collects the data required for the intelligent control of the bathroom in real time through the sensors installed in the bathroom. The sensors include gas sensors and voice sensors. The data required for the intelligent control of the bathroom include gas data and voice data.

[0046] See also Figure 1 ,Specifically, the intelligent transmission module transmits the collected gas data and ,voice data in real time through the home wireless local area network to the ,home host which is a small computer used to analyze and ,process the data and output control instructions to the bathroom equipment. ,The network transmission protocol adopts the Transmission Control Protocol / User Datagram Protocol.

[0047] See also Figure 1 ,Specifically, the detection and recognition algorithm organizes the gas data to form time ,series data, builds a feature recognition network, calculates the hidden state of the ,time series data, iterates using the iterator, optimizes the gas characteristic parameters by ,constructing the loss function, and analyzes the gas composition characteristics. ,The detailed process is as follows:

[0048] The real-time collected toilet gas data is time series data, expressed as:

[0049] ;

[0050] in, represents the time series data set of gas in the bathroom, They represent the data of the first moment of the time series data set of the gas in the bathroom, the data of the second moment of the time series data set of the gas in the bathroom, and the data of the second moment of the time series data set of the gas in the bathroom. The data at the moment, the time series data set of the gas in the bathroom The data at each moment is multidimensional data, represented by a multidimensional vector. A feature recognition network is constructed, and the collected data is input into the feature recognition network. The hidden state is first calculated. The calculation formula is as follows:

[0051] ;

[0052] in, Represents the time series data of gas in the bathroom No. values, Represents the time series data of gas in the bathroom No. The weight of the value, , Represents the time series data of gas in the bathroom The hidden state of Values, time series data of gas in the bathroom The hidden state of values, Represents the time series data of gas in the bathroom The hidden state of The hidden weights of the values ​​are used to construct an iterator in the feature recognition network for feature analysis. During the iteration process, each round of iteration generates a single iterator, and each round of single iterators is combined to construct a multi-layer iterator, which is expressed as follows:

[0053] ;

[0054] in, A multi-layer iterator representing the t-th layer iteration, Indicates a single iterator of iterations, Indicates The combined impact weight of a single iterator for iterations, Represents the parameters in the iterator, and the loss function is constructed during the iteration process, which is expressed as:

[0055] ;

[0056] in, Indicates The loss function of the iteration is, express The feature labels, express Iteration features, Indicates The single iterator of iterations is based on minimizing the loss function and analyzing the iteration characteristics. The calculation formula is as follows:

[0057] ;

[0058] in, It means finding the value of the parameter that makes the value in the brackets minimum. Through continuous iteration, the parameters are updated to perform characteristic analysis and identification of the components in the gas.

[0059] See also Figure 1 Specifically, the active control module, based on the analysis results of the gas composition in the bathroom, the bathroom exhaust system will automatically work to exhaust the bathroom, actively control the air in the bathroom, maintain the air composition in the bathroom within the most comfortable range for the user, and maintain the user's comfort level in the bathroom.

[0060] See also Figure 1 Specifically, the noise reduction recognition algorithm constructs a noise signal filtering model to filter noise, uses the filtering objective function to update the filter coefficient vector, optimizes the noise signal filtering model, and constructs an intelligent speech recognition model. The detailed process is as follows:

[0061] For the sound signals collected in the bathroom, a noise signal filtering model is constructed to perform noise reduction operations on the sound signals. First, for the collected sound signals, an initial sound signal matrix is ​​formed , which is expressed as follows:

[0062] ;

[0063] in, Represent the initial sound signal matrix Vector data at the first moment, initial sound signal matrix Second moment vector data, initial sound signal matrix No. Time vector data, initial sound signal matrix No. The moment vector data is filtered through the noise signal filtering model to filter the initial sound signal. The filtering operation is expressed as follows:

[0064] ;

[0065] in, express The output of the noise signal filtering model at time instant, Indicates Sub-initial sound signal matrix No. The filter coefficient vector of the time vector data, Represents the convolution operation, adjusts the filter coefficient vector, optimizes the noise signal filtering model, constructs the filter objective function, and the update rule of the filter coefficient vector. The filter objective function formula , the formula is as follows:

[0066] ;

[0067] in, Indicates Sub-initial sound signal matrix No. The filter coefficient vector of the time vector data, Represents the square of the 2-norm. Based on the filtering objective function, the filter coefficient vector is updated. The update rule is as follows:

[0068] ;

[0069] in, express The ideal output of the noise signal filtering model at each moment is optimized by continuously updating the filter coefficient vector.

[0070] See also Figure 1 Specifically, the voice intelligent control module, based on the results of user voice recognition analysis, the home host transmits control instructions to the bathroom shower system, and the shower system receives the control instructions to accurately control the shower water temperature, shower mode, and shower water flow.

[0071] See also Figure 1 Specifically, the smart bathroom includes any one of the above-mentioned smart bathroom systems.

[0072] In a specific embodiment, when a user uses a smart bathroom, the sensors in the bathroom first collect the air composition data and user voice data in the bathroom. The collected data is transmitted to the home host through a network protocol for storage and analysis. The home host then uses a detection and recognition algorithm to intelligently analyze the air composition in the bathroom. The home host then outputs instructions based on the air composition analysis results, actively turns on the bathroom exhaust system, and regulates the control quality in the bathroom. The home host then uses a noise reduction and recognition algorithm to analyze the user's voice instructions, outputs instructions to the bathroom shower equipment, and accurately controls the shower water temperature, shower mode, and shower water flow.

[0073] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0074] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0075] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.

Claims

1. A bathroom intelligent system, including a real-time acquisition module, an intelligent transmission module, an intelligent analysis module, an active regulation module, a voice recognition module, and a voice intelligent control module; The real-time acquisition module collects data in real time through sensors installed in the bathroom; The intelligent transmission module transmits the collected data to the home host through the network protocol; The intelligent analysis module uses detection and recognition algorithms to intelligently analyze the air composition in the bathroom; The active control module automatically turns on the exhaust system and regulates the air in the bathroom based on the results of gas composition analysis in the bathroom; the voice recognition module builds an intelligent voice recognition model through noise reduction recognition algorithm, and intelligently recognizes the user's voice under the influence of water flow noise; the voice intelligent control module recognizes the user's voice based on the intelligent voice recognition model, and the home host transmits control instructions to the bathroom shower system to perform intelligent control of the bathroom.

2. A bathroom intelligent system according to claim 1, characterized in that: The real-time acquisition module acquires data required for intelligent control of the toilet in real time through sensors installed in the toilet. The sensors include gas sensors and voice sensors. The data required for intelligent control of the toilet include gas data and voice data.

3. The intelligent toilet system according to claim 1, characterized in that: The intelligent transmission module transmits the collected gas data and voice data in real time to the home host through the home wireless local area network. The home host is a small computer that analyzes and processes the data and outputs control instructions to the bathroom equipment. The network transmission protocol adopts the Transmission Control Protocol / User Datagram Protocol.

4. The intelligent toilet system according to claim 1, characterized in that: The detection and recognition algorithm organizes the gas data to form time series data, constructs a feature recognition network, calculates the hidden state of the time series data, iterates using an iterator, optimizes the gas feature parameters by constructing a loss function, and analyzes the gas composition characteristics.

5. The intelligent toilet system according to claim 4, characterized in that: The detailed process of analyzing the gas composition characteristics is as follows: The real-time collected toilet gas data is time series data, expressed as: ； in, represents the time series data set of gas in the bathroom, They represent the data of the first moment of the time series data set of the gas in the bathroom, the data of the second moment of the time series data set of the gas in the bathroom, and the data of the second moment of the time series data set of the gas in the bathroom. The data at the moment, the time series data set of the gas in the bathroom The data at each moment is multidimensional data, represented by a multidimensional vector. A feature recognition network is constructed, and the collected data is input into the feature recognition network. The hidden state is first calculated. The calculation formula is as follows: ； in, Represents the time series data of gas in the bathroom No. values, Represents the time series data of gas in the bathroom No. The weight of the value, , Represents the time series data of gas in the bathroom The hidden state of Values, time series data of gas in the bathroom The hidden state of values, Represents the time series data of gas in the bathroom The hidden state of The hidden weights of the values ​​are used to construct an iterator in the feature recognition network for feature analysis. During the iteration process, each round of iteration generates a single iterator, and each round of single iterators is combined to construct a multi-layer iterator, which is expressed as follows: ； in, A multi-layer iterator representing the t-th layer iteration, Indicates a single iterator of iterations, Indicates The combined impact weight of a single iterator for iterations, Represents the parameters in the iterator, and the loss function is constructed during the iteration process, which is expressed as: ； in, Indicates The loss function of the iteration is, express The feature labels, express Iteration features, Indicates The single iterator of iterations is based on minimizing the loss function and analyzing the iteration characteristics. The calculation formula is as follows: ； in, It means finding the value of the parameter that makes the value in the brackets minimum. Through continuous iteration, the parameters are updated to perform characteristic analysis and identification of the components in the gas.

6. The intelligent toilet system according to claim 1, characterized in that: The active control module, based on the results of the gas composition analysis in the bathroom, the bathroom exhaust system will automatically work to exhaust the bathroom and actively control the air in the bathroom.

7. The intelligent toilet system according to claim 1, characterized in that: The noise reduction recognition algorithm constructs a noise signal filtering model to perform noise filtering, uses a filtering objective function to update a filtering coefficient vector, optimizes the noise signal filtering model, and constructs an intelligent speech recognition model.

8. The intelligent toilet system according to claim 7, characterized in that: The optimization of the noise signal filtering model is as follows: For the sound signals collected in the bathroom, a noise signal filtering model is constructed to perform noise reduction operations on the sound signals. First, for the collected sound signals, an initial sound signal matrix is ​​formed , which is expressed as follows: ； in, Represent the initial sound signal matrix Vector data at the first moment, initial sound signal matrix Second moment vector data, initial sound signal matrix No. Time vector data, initial sound signal matrix No. The moment vector data is filtered through the noise signal filtering model to filter the initial sound signal. The filtering operation is expressed as follows: ； in, express The output of the noise signal filtering model at time instant, Indicates Sub-initial sound signal matrix No. The filter coefficient vector of the time vector data, Represents the convolution operation, adjusts the filter coefficient vector, optimizes the noise signal filtering model, constructs the filter objective function, and the update rule of the filter coefficient vector. The filter objective function formula , the formula is as follows: ； in, Indicates Sub-initial sound signal matrix No. The filter coefficient vector of the time vector data, Represents the square of the 2-norm. Based on the filtering objective function, the filter coefficient vector is updated. The update rule is as follows: ； in, express The ideal output of the noise signal filtering model at each moment is optimized by continuously updating the filter coefficient vector.

9. The intelligent toilet system according to claim 3, characterized in that: The voice intelligent control module, based on the results of user voice recognition analysis, allows the home host to transmit control instructions to the bathroom shower system, and the shower system receives the control instructions to accurately control the shower water temperature, shower mode, and shower water flow.

10. A smart toilet, characterized in that: The smart toilet comprises the smart toilet system described in any one of claims 1 to 9 above.

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