Intelligent perception control method and device for intelligent toilet remote control

Abstract

This application provides an intelligent sensing control method and device for a smart toilet remote control, which relates to the field of intelligent sensing control technology, including: connecting with pre-deployed sensors to obtain sensor monitoring data; performing data sensing analysis based on the sensor monitoring data of the pressure sensor; performing data sensing analysis based on the sensor monitoring data of the air quality sensor; parsing control parameters based on the perceived user usage needs and environmental control needs, matching the remote control button path, executing the control parameters, and sending the execution status of the control parameters to the remote control display interface. This application can solve the technical problem in the prior art that the smart remote control is usually preset and lacks the ability to adaptively adjust, resulting in insufficient automation of the smart toilet. By sensing the user's needs and environmental conditions in real time, corresponding control parameters are generated, thereby improving the automation of the smart toilet.

Description

Technical Field

[0001] The present application relates to the field of intelligent sensing control technology, and in particular to an intelligent sensing control method and device for a smart toilet remote control. Background Art

[0002] A smart toilet remote control is a device used to control the functions of a smart toilet and is typically included with modern smart toilets. Through the remote control, users can conveniently operate various toilet functions, such as flushing, heating, and drying, thereby improving ease of use and comfort. Existing smart toilet remote controls have multiple functions, such as adjusting seat temperature, water spray intensity, and drying temperature. However, these functions are typically preset, making it impossible for the remote control to automatically adjust the toilet's functions based on the user's usage habits and environmental changes, thereby failing to meet the user's personalized needs. Users may need to use different settings, such as seat temperature, water spray intensity, and drying temperature, at different times or in different environments, but existing remote controls cannot automatically adapt to these changes and require the user to manually adjust them.

[0003] In summary, there is a technical problem in the prior art that the smart remote control is usually preset and lacks the ability of intelligent perception and adaptive adjustment, which affects the user experience and leads to insufficient automation of the smart toilet. Summary of the Invention

[0004] The purpose of this application is to provide an intelligent sensing control method and device for a smart toilet remote control, so as to solve the technical problem in the prior art that the smart remote control is usually preset and lacks the ability of intelligent sensing and adaptive adjustment, which affects the user experience and leads to insufficient automation of the smart toilet.

[0005] In view of the above problems, the present application provides an intelligent sensing control method and device for a smart toilet remote control.

[0006] In the first aspect, the present application provides an intelligent perception control method for a smart toilet remote control, which is implemented by an intelligent perception control device for a smart toilet remote control, wherein the intelligent perception control method for a smart toilet remote control includes: connecting with pre-deployed sensors to obtain sensor monitoring data, and the pre-deployed sensors include at least a pressure sensor and an air quality sensor; performing data perception analysis based on the sensor monitoring data of the pressure sensor to obtain user usage requirements; performing data perception analysis based on the sensor monitoring data of the air quality sensor to obtain environmental control requirements; performing control parameter analysis based on the perceived user usage requirements and the environmental control requirements, matching the remote control key path, using the remote control key path to execute the control parameters, and sending the execution status of the control parameters to the remote control display interface.

[0007] In the second aspect, the present application also provides an intelligent perception control device for a smart toilet remote control, which is used to execute the intelligent perception control method for a smart toilet remote control as described in the first aspect, wherein the intelligent perception control device for a smart toilet remote control includes: a monitoring data acquisition module, the monitoring data acquisition module is used to connect with pre-deployed sensors to obtain sensor monitoring data, and the pre-deployed sensors include at least pressure sensors and air quality sensors; a usage analysis module, the usage analysis module is used to perform data perception analysis based on the sensor monitoring data of the pressure sensor to obtain user usage requirements; an environment analysis module, the environment analysis module is used to perform data perception analysis based on the sensor monitoring data of the air quality sensor to obtain environmental control requirements; a control execution module, the control execution module is used to perform control parameter analysis based on the perceived user usage requirements and the environmental control requirements, match the remote control key path, use the remote control key path to execute the control parameters, and send the execution status of the control parameters to the remote control display interface.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] By connecting with pre-installed sensors, sensor monitoring data is obtained, and the pre-installed sensors include at least pressure sensors and air quality sensors; based on the sensor monitoring data of the pressure sensor, data perception analysis is performed to obtain user usage requirements; based on the sensor monitoring data of the air quality sensor, data perception analysis is performed to obtain environmental control requirements; based on the perceived user usage requirements and environmental control requirements, control parameters are parsed, the remote control button path is matched, the control parameters are executed using the remote control button path, and the execution status of the control parameters is sent to the remote control display interface. In other words, through the pre-installed pressure sensors and air quality sensors, the user's needs and environmental status are perceived in real time, the corresponding control parameters are generated, and the control is executed through the remote control button path. The execution status will be fed back to the remote control display interface, which is convenient for the user to view and adjust in real time, thereby improving the degree of automation of the smart toilet.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, which can be implemented in accordance with the contents of the description, and to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically listed below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in this application or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely exemplary, and a person of ordinary skill in the art can obtain other drawings based on the provided drawings without creative work.

[0012] Figure 1 This is a flow chart of the intelligent sensing control method for the smart toilet remote controller of this application;

[0013] Figure 2 This is a structural diagram of the intelligent sensing control device used in the smart toilet remote control of this application.

[0014] Description of the accompanying drawings: monitoring data acquisition module 11, usage analysis module 12, environment analysis module 13, control execution module 14. DETAILED DESCRIPTION

[0015] This application provides an intelligent sensing control method and device for a smart toilet remote control, resolving the technical problem in the prior art that smart remote controls are typically pre-set and lack intelligent sensing and adaptive adjustment capabilities, which impacts the user experience and results in insufficient automation of smart toilets. Pre-installed pressure sensors and air quality sensors are used to sense user needs and environmental conditions in real time, generate corresponding control parameters, and execute control via the remote control's keystrokes. The execution status is fed back to the remote control display interface, allowing users to view and adjust the system in real time, thereby enhancing the automation of the smart toilet.

[0016] Below, the technical solutions in this application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this application, rather than all the embodiments of this application. It should be understood that this application is not limited to the example embodiments described herein. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. It should also be noted that, for the convenience of description, only the parts related to this application, rather than all of them, are shown in the accompanying drawings.

[0017] For example, see the attached Figure 1 The present application provides an intelligent perception control method for a smart toilet remote controller, wherein the intelligent perception control method for a smart toilet remote controller is executed by an intelligent perception control device for a smart toilet remote controller, and the intelligent perception control method for a smart toilet remote controller specifically includes the following steps:

[0018] Step 1: Connect to pre-installed sensors to obtain sensor monitoring data. The pre-installed sensors include at least a pressure sensor and an air quality sensor.

[0019] Specifically, the smart toilet remote control incorporates multiple sensors to collect sensory data from various dimensions, including but not limited to user proximity sensors, pressure sensors, air quality sensors, health monitoring sensors, water temperature sensors, and humidity sensors. The pressure sensor senses the user's weight, sitting posture, and other information, helping to determine whether the user is actively using the toilet and making personalized adjustments based on the user's body shape and habits, such as adjusting the toilet seat height and temperature. The air quality sensor monitors ambient air quality, including humidity, odor, and harmful gases, to determine whether the bathroom air needs purification, ventilation, or deodorization. Sensor monitoring data includes data from both the pressure sensor and the air quality sensor. The toilet seat pressure sensor senses pressure distribution, pressure intensity, time, and gravity, identifying different user states and determining user needs. The pressure sensor data is used to perform a perceptual analysis of user needs. For example, the toilet seat temperature can be adjusted based on the user's weight, and flush preparation mode can be automatically initiated based on whether the user has stood up. Environmental sensors monitor humidity and air quality, such as bacteria and dust, to analyze the need for sterilization and decontamination of the toilet. Based on the data from the air quality sensors, the system analyzes the need for environmental control. For example, when the odor concentration in the air exceeds the set threshold, the system automatically activates the deodorization function or exhaust system to keep the bathroom air fresh. It also senses the need for environmental purification or sealing. For example, when humidity is high, the toilet lid needs to be closed to increase the toilet's seal, or the remote control needs to be powered off to protect it. By connecting to pre-installed sensors, the smart toilet remote control can obtain key usage and environmental data in real time, automatically adjusting functions based on user behavior and environmental conditions, and increasing the functionality and intelligence of the smart toilet.

[0020] Step 2: Perform data perception analysis based on the sensor monitoring data of the pressure sensor to obtain user usage requirements.

[0021] Specifically, the system uses pressure sensors to capture information such as pressure distribution, pressure magnitude, and duration, and to sense the user's weight and sitting posture. This allows the system to determine whether the user is currently using the toilet and make personalized adjustments based on the user's body type and habits, such as adjusting the toilet seat height and temperature. Based on the pressure sensor data, the system performs a perceptual analysis of the user's usage needs, identifying the user type and action patterns. An attention mechanism searches the operation log for records related to the sensor monitoring data to identify operating habits under similar pressure conditions. Based on these associated logs, the system extracts the user's control parameters under specific pressure conditions. Further analysis of the operation logs identifies the user's operating characteristics under similar conditions. By combining the pressure monitoring characteristics with the associated operation characteristics, the system identifies the user's specific needs. For example, if the pressure sensor detects that the user sits down quickly and the duration of their sitting position is short, indicating that the user may be in a hurry, the system automatically adjusts the spray intensity and duration to meet the user's needs based on this data. Through data-aware analysis, the system accurately identifies the user's usage needs and automatically adjusts the settings accordingly, ensuring a personalized and precise control solution. This allows the smart toilet remote control to dynamically adapt to meet user needs.

[0022] Step 3: Perform data perception analysis based on the sensor monitoring data of the air quality sensor to obtain environmental control requirements.

[0023] Specifically, air quality sensor data includes gas monitoring data (such as hydrogen sulfide or ammonia concentrations), bacterial contamination data, and humidity data, representing the bathroom's environmental conditions. Data perception and analysis of this sensor data identifies odor characteristics, self-cleaning requirements, and moisture-proof insulation requirements. For example, when airborne odor concentration exceeds a set threshold, the system automatically activates the deodorization function or exhaust system to maintain fresh bathroom air. By monitoring and responding to airborne odors and bacterial contamination, the system maintains a clean and healthy bathroom. Automatically executing cleaning and maintenance operations based on monitoring data reduces user intervention and improves the automation of the smart toilet remote control.

[0024] Step 4: Analyze the control parameters based on the perceived user usage requirements and the environmental control requirements, match the remote control key path, execute the control parameters using the remote control key path, and send the execution status of the control parameters to the remote control display interface.

[0025] Specifically, based on user needs and environmental control requirements derived from data perception analysis, the system analyzes the specific control parameters required, such as spray intensity, seat temperature, and deodorization intensity. The analyzed control parameters are then matched with the remote control's key paths to determine which button or button combination activates the corresponding function. Remote control buttons can control toilet functions through physical or touch control, such as adjusting seat temperature, flush mode, and heating intensity. Once the analyzed control parameters are successfully matched with the remote control buttons, the corresponding operation is executed via the remote control, such as pressing the spray button to activate the spray function. The execution status of the control parameters (such as ready to start, executing, and completed) is displayed in real time on the remote control's display interface, allowing the user to understand the current status of toilet functions such as seat temperature, air purification status, and flush mode. For example, if the user requires a lighter spray intensity and the environmental control requirement is deodorization, the corresponding control parameters are analyzed and matched with the remote control's key paths. The light mode spray button and the deodorization button on the remote control are activated to execute these control parameters. At the same time, the remote control display is updated in real time to show that the spray function is being gently executed and the deodorizing function is activated. By precisely controlling the execution of control parameters and updating the execution status of control parameters on the remote control display in real time, intuitive operational feedback is provided, enhancing the user's sense of control and satisfaction.

[0026] Furthermore, the present application further comprises the following steps:

[0027] The execution status of the control parameters includes: ready to start status, execution status, execution progress ratio, and completion status; based on the execution status of the control parameters, a user execution intervention instruction is obtained through the remote control. When the user execution intervention instruction exists, the user execution intervention instruction is used to match the state with the control parameters to obtain the intervention parameters; the intervention parameters are used to perform execution control, and the execution status of the intervention parameters is sent to the remote control display interface.

[0028] Specifically, the execution status of the control parameters includes the ready-to-start state, execution state, execution progress percentage, and completion state, which reflects the current execution status of the smart toilet function. The user can see the instructions being executed or ready to be executed and the specific time on the display screen. If the user thinks it can be executed, there is no need to operate. If the user thinks it is inappropriate, an intervention instruction can be sent to control the current operation. The ready-to-start state refers to the stage where the smart toilet is initialized after receiving the control instruction but has not yet started to execute the function; the execution state refers to the state where the smart toilet is executing a certain function; the execution progress percentage refers to the ratio of the current function execution progress to the total execution time, which is used to display the percentage of function execution; the completion state refers to the state where the smart toilet has completed the execution of a certain function; the user execution intervention instruction refers to the instruction issued by the user through the remote control, which is used to change or interrupt the current execution state of the smart toilet.

[0029] When a user issues an intervention command via buttons or the touchscreen on the remote control, such as adjusting the flush water temperature, nozzle position, or wind speed, they intervene in or adjust the smart toilet's function. The remote control matches the user's intervention command with the current execution status of the control parameters to determine how to adjust the control parameters. The parameter determined based on the user's intervention command is the intervention parameter. For example, while using the smart toilet, a user discovers that the seat heating temperature is too high. They then issue an intervention command via the remote control to lower the temperature, adjusting the water temperature from 37°C to 40°C. After receiving the command, the remote control performs a state match and identifies the current state of seat heating. It then adjusts the temperature to 40°C, and the intervention parameter is the water temperature of 40°C. The intervention parameter is used to execute control, adjust the current state, and transmit the execution status of the intervention parameter to the remote control's display in real time, allowing the user to instantly understand whether the command has been correctly executed and the current operational status. For example, the remote control's display updates to display "Seat temperature adjusting, current temperature 40°C." By providing detailed execution status and allowing user intervention, the smart toilet remote control increases control flexibility and adaptability.

[0030] Furthermore, step 2 of this application includes:

[0031] Based on the sensor monitoring data of the pressure sensor, a pressure monitoring feature is obtained, and the pressure monitoring feature includes pressure distribution and its pressure magnitude and duration distribution; using the pressure monitoring feature as an index, related logs are searched from the operation log based on the attention mechanism, and joint control parameters are extracted according to the related logs; using the joint control parameters as an index, joint related operation features are identified and searched based on the operation log; based on the pressure monitoring feature and the joint related operation feature, the user usage requirements are obtained.

[0032] Specifically, pressure sensors collect pressure information from the user while using the toilet, generating pressure monitoring features, including pressure distribution, pressure magnitude, and duration. Pressure distribution monitors the force distribution of the user on the seat cushion, identifying the user's body shape and sitting posture. Pressure magnitude dynamically adjusts related functions based on changes in the user's weight or body shape. Duration monitors the time the user spends on the toilet, determining their usage habits and whether they require additional features (such as seat heating time and flush wait time). Operation logs record historical user operations, including operation records for each use, environmental data, and device adjustment records. Using the currently acquired pressure monitoring features (such as pressure distribution, pressure magnitude, and duration) as an index, the operation log is searched for historical records similar to the pressure monitoring features. The attention mechanism is a machine learning technique used to identify the most relevant information from large amounts of data, similar to how humans focus their attention on important information when observing objects. Correlation logs refer to operation log entries that match pressure monitoring features. Based on the correlation logs, joint control parameters are extracted to guide the intelligent toilet controller in adjusting its functions to suit user needs. For example, suppose that when a user uses the toilet at night, the pressure sensor detects that the user is sitting on the front of the seat and the pressure is high. Using the pressure monitoring feature as an index, the operation log is searched through the attention mechanism. It is found that users usually adjust the seat temperature and water spray intensity in similar situations. Based on these associated logs, the seat temperature and water spray intensity are extracted as joint control parameters.

[0033] Using the joint control parameters as an index, the operation logs are further analyzed to identify the user's operating characteristics in similar situations. For example, a user may prefer a certain seat temperature and flushing mode under a certain pressure distribution and pressure level; or a user may prefer a different cleaning mode or air purification mode for a specific length of time. By combining the current pressure monitoring characteristics with the joint associated operation characteristics extracted from the historical operation logs, the user's specific needs are inferred, including the user's usage operations and operation time in specific situations. Through data monitoring by the pressure sensor and combining the user's historical operation logs, the user's usage characteristics are intelligently analyzed and a control strategy that meets the user's needs is automatically generated. By indexing the pressure monitoring characteristics and the joint control parameters in the operation log, the personalized operation function of the toilet is optimized and the adaptive ability of the smart device is improved.

[0034] Furthermore, the present application further comprises the following steps:

[0035] According to the pressure monitoring characteristics, the user type is identified according to the pressure distribution and pressure magnitude, wherein the pressure distribution determines the user's breech coverage area and the pressure magnitude determines the user's gravity; a time series correspondence between the duration distribution and the pressure distribution and pressure magnitude is established to obtain the pressure change time series characteristics and identify the user's action pattern; the user type is used as a first-order feature and the user action pattern as a second-order feature, and associated logs are searched from the operation log; a target joint control parameter set is extracted from the associated log according to the first-order feature; and the joint control parameters are extracted from the target joint control parameter set according to the second-order feature.

[0036] Specifically, based on the pressure distribution and pressure magnitude of the pressure monitoring characteristics, different types of users can be distinguished, such as adults, children, the elderly, etc., or those with overweight or thin body types. For example, children usually have a small hip coverage area and less pressure, while adults have a large coverage area and greater pressure. Different types of users have different characteristics and needs. Based on the pressure distribution, the user's hip coverage area can be determined, reflecting the user's body shape and sitting posture. Based on the pressure magnitude, the user's approximate weight can be determined. A correspondence between the duration distribution and the pressure distribution and pressure magnitude is established to identify the temporal characteristics of pressure changes and determine the user's specific action pattern, such as sitting down quickly, sitting down slowly, or sitting for a long time. The user's action pattern may be related to the user's physiological state or emotions. For example, sitting down quickly means that the user is anxious, sitting down slowly means that the user is uncomfortable, and a long duration means that the user is not smooth.

[0037] Based on user type (first-order features) and user action patterns (second-order features), the system searches for associated logs within the operation logs. First, the target joint control parameter set is filtered out based on user type, containing historical operation data that matches the user type. Target joint control parameter set extraction involves extracting a set of joint control parameters suitable for that user type from the associated logs. Further filtering is performed based on action patterns, extracting joint control parameters from the target joint control parameter set that reflect the user's specific behavioral habits and needs. Joint control parameter extraction involves further extracting the most appropriate joint control parameters from the target joint control parameter set based on the user's action pattern. This hierarchical feature extraction allows for more accurate adjustment of control parameters to suit the user's specific needs, improving the adaptability and intelligence of the smart toilet.

[0038] Furthermore, the present application further comprises the following steps:

[0039] Explicit operation features are identified according to the joint control parameters; based on the operation log, the explicit operation features are used as basic components to identify the composition control change features to obtain implicit operation features; based on the explicit operation features and implicit operation features, the associated operation features in the operation log are iteratively captured, and all the associated operation features are aggregated to obtain the joint associated operation features.

[0040] Specifically, based on the joint control parameters, the user's explicit operational characteristics are identified, which directly reflect the user's explicit behavior in a specific situation. Explicit operational characteristics refer to the user's explicit operational behavior when using the toilet, such as adjusting the seat temperature (for example, users prefer higher temperatures in winter); selecting the flush intensity (a stronger flush mode may be selected for extended periods of time); and activating the cleaning mode (selecting an automatic cleaning program based on past usage habits). Joint control parameters are extracted from the user's operation log based on first-order characteristics (such as body shape and weight) and second-order characteristics (such as sitting posture and duration of sitting), and explicit operational characteristics related to these parameters are matched in the operation log.

[0041] Further exploration of latent operational characteristics may not be directly apparent, but by analyzing changes in explicit operational characteristics, the user's underlying behavioral patterns can be inferred. Control change characteristics refer to the patterns and trends reflected in changes in explicit operational characteristics in the operation log. Analyzing changes in explicit operational characteristics can infer the user's latent operational characteristics. Latent operational characteristics are latent patterns in user operations that are difficult to observe directly but can be revealed through data analysis. For example, users may automatically perform adjustment operations under specific conditions, such as deodorization, cleaning, and water temperature adjustment. If these basic operations do not satisfy the user, the user may choose to repeat the operation, or repeat the entire combination of operations. This repetitive operation reflects the user's implicit needs. For example, if the operation log shows that a user repeats the cleaning operation after each use of the toilet, it indicates that the user has a higher requirement for cleanliness. This is a latent operational characteristic.

[0042] By continuously analyzing the operation logs, the correlation features of explicit and implicit operation features are captured in the operation logs. In each iteration, the explicit and implicit operation features identified previously are used to continue to retrieve more correlation features in the operation logs. Different weights are assigned to different features through the attention mechanism, so that the most relevant operation patterns can be captured. After each round of iteration, the explicit and implicit operation features are further updated and used as the basis for the next round of retrieval. In each iteration, not only are the operation logs matched by explicit features, but the potential needs of users in similar situations are also inferred and captured through implicit features. For example, if a user selects a certain cleaning mode multiple times under similar environmental conditions, it is recognized as the user's implicit preference and automatically applied in future usage scenarios.

[0043] After capturing all associated operational features, the explicit and implicit operational features are aggregated to form a joint associated operational feature, which represents the user's comprehensive operational preferences in complex scenarios. All explicit operational features (such as seat temperature and flush mode) and implicit operational features (such as unspecified cleaning mode preferences and air purification needs) are aggregated and weighted based on their relevance and importance to ensure that the aggregated results reflect the user's actual needs and potential preferences. All aggregated features are combined into a complete joint associated operational feature, which can be used to generate control strategies that best meet the user's preferences. For example, this feature can automatically adjust the seat temperature to a comfortable range; automatically activate air purification and cleaning modes based on past implicit preferences; and automatically optimize the flush mode based on the current pressure distribution and dwell time. By iteratively capturing explicit and implicit operational features, all the user's associated operational features are identified and aggregated to form a final joint associated operational feature. This multi-dimensional feature is then used to match user needs and achieve personalized control of the smart toilet remote control's functions.

[0044] Furthermore, the present application further comprises the following steps:

[0045] The pressure monitoring feature is used as a key input for identification, and is matched and analyzed with the joint associated operation feature to obtain a matching operation feature as the user usage requirement.

[0046] Specifically, the pressure sensor collects real-time pressure monitoring data from the user, extracting pressure distribution, pressure magnitude, and duration, which directly reflects the user's interaction with the smart toilet. The user's historical operation history is identified through analysis of joint-correlated operation features. These joint-correlated operation features include both explicit user operation features (such as adjusting seat temperature and cleaning mode) and implicit operation features (such as automatically starting air purification and flushing intensity). The user's historical operation behavior is identified from the historical data, providing a basis for predicting the current user's needs. Using the pressure monitoring features as the key input for identification, the pressure monitoring features are compared with the joint-correlated operation features obtained through operation log analysis to identify correlations. Matching analysis involves the smart toilet remote control comparing and analyzing the pressure monitoring features with the joint-correlated operation features to identify matching operation features. Matching analysis identifies the operation pattern that matches the current context and, based on this, infers the user's needs, such as flushing, warm air drying, or seat heating. Matching analysis accurately identifies user needs and automatically adjusts settings based on them. It can also predict user needs and adjust settings in advance, improving overall operational efficiency.

[0047] Furthermore, step three of this application includes:

[0048] The sensing monitoring data of the air quality sensor includes gas monitoring data, bacteria and stain monitoring data, and humidity monitoring data. The air odor characteristics are sensed based on the gas monitoring data, the self-cleaning characteristics are sensed based on the bacteria and stain monitoring data, and the moisture-proof insulation characteristics are sensed based on the humidity monitoring data; the deodorization control requirements are analyzed based on the air odor characteristics, the sterilization and cleaning control requirements are analyzed based on the self-cleaning characteristics, and the sealing and insulation control requirements are analyzed based on the moisture-proof and insulation characteristics; the environmental control requirements are obtained based on one or more of the deodorization control requirements, the sterilization and cleaning control requirements, and the sealing and insulation control requirements.

[0049] Specifically, air quality sensors primarily monitor various air components and environmental parameters, such as odor, humidity, bacteria, and dust. Sensor monitoring data includes gas monitoring data, bacterial stain monitoring data, and humidity monitoring data. Gas monitoring detects common odorous gases in the air, such as volatile organic compounds (VOCs), ammonia, and hydrogen sulfide, and uses this data to perceive odor characteristics. Bacterial stain monitoring measures the bacteria and dust content based on particulate matter in the air to determine hygiene conditions and sense self-cleaning characteristics based on this data. Humidity monitoring measures bathroom humidity to determine if the air is too humid. Based on this data, the system detects the need for moisture-proofing and insulation measures, such as turning on ventilation fans to protect electrical components from moisture.

[0050] Based on air odor characteristics, the system analyzes whether deodorization functions, such as activating an air purifier or ozone generator, are needed. When the concentration of odorous gases (such as ammonia and hydrogen sulfide) in the air reaches a set threshold, the system automatically detects a decline in air quality and activates the deodorization system, automatically spraying air freshener or activating an air purifier to remove odors from the bathroom. Bacteria and contaminant monitoring data reveals the cleanliness of the smart toilet. If bacteria or contaminant levels exceed the threshold, the system analyzes whether a sterilization and cleaning process, such as automatic flushing or UV disinfection, is needed. If the air quality sensor detects excessive bacteria or particulate matter levels, indicating a deterioration in hygiene, it activates a UV sterilizer or ozone sterilizer for scheduled or immediate air sterilization, ensuring safe and clean bathroom air. If the sensor detects a high level of bacteria or airborne dust particles, or identifies the presence of contaminants, it initiates a cleaning mode that automatically cleans the toilet interior, seat, and related surface components to ensure a clean and hygienic bathroom environment. This includes water flow cleaning, spray cleaning, and even adding disinfectant for a deeper clean if necessary. When the sensor detects that the air humidity in the bathroom exceeds the standard, it determines that the environment is too humid and may affect the normal operation of electrical equipment. It automatically starts the insulation protection program, cuts off the electrical equipment that may be affected by moisture, prevents short circuit or leakage, and starts the exhaust system or dehumidification device at the same time to reduce the indoor humidity and ensure a dry and safe environment.

[0051] The control requirements identified by analyzing the three characteristics above are then used to determine the required environmental control measures based on one or more of these requirements. Data from air quality sensors is used to analyze and identify different environmental control requirements, including deodorization, sterilization, cleaning of dirt, and insulation protection in wet conditions. Combined with the control of the smart toilet remote control, dynamic environmental control services are provided to ensure a clean, safe, and comfortable bathroom environment.

[0052] In summary, the intelligent perception control method for a smart toilet remote controller provided by this application has the following technical effects:

[0053] By connecting with pre-installed sensors, sensor monitoring data is obtained, and the pre-installed sensors include at least pressure sensors and air quality sensors; based on the sensor monitoring data of the pressure sensor, data perception analysis is performed to obtain user usage requirements; based on the sensor monitoring data of the air quality sensor, data perception analysis is performed to obtain environmental control requirements; based on the perceived user usage requirements and environmental control requirements, control parameters are parsed, the remote control button path is matched, the control parameters are executed using the remote control button path, and the execution status of the control parameters is sent to the remote control display interface. In other words, through the pre-installed pressure sensors and air quality sensors, the user's needs and environmental status are perceived in real time, the corresponding control parameters are generated, and the control is executed through the remote control button path. The execution status will be fed back to the remote control display interface, which is convenient for the user to view and adjust in real time, thereby improving the degree of automation of the smart toilet.

[0054] In the second embodiment, based on the same inventive concept as the intelligent sensing control method for the intelligent toilet remote controller in the above embodiment, the present application also provides an intelligent sensing control device for the intelligent toilet remote controller, see the attached Figure 2 , the intelligent sensing control device for the intelligent toilet remote control includes:

[0055] The monitoring data acquisition module 11 is used to connect with pre-deployed sensors to obtain sensor monitoring data. The pre-deployed sensors include at least a pressure sensor and an air quality sensor.

[0056] The usage analysis module 12 is used to perform data perception analysis based on the sensing monitoring data of the pressure sensor to obtain user usage requirements.

[0057] The environmental analysis module 13 is used to perform data perception analysis based on the sensor monitoring data of the air quality sensor to obtain environmental control requirements.

[0058] The control execution module 14 is used to parse the control parameters according to the perceived user usage requirements and the environmental control requirements, match the remote control button path, execute the control parameters using the remote control button path, and send the execution status of the control parameters to the remote control display interface.

[0059] Furthermore, the intelligent perception control device for the intelligent toilet remote controller further includes an execution state module for:

[0060] The execution status of the control parameters includes: ready to start status, execution status, execution progress ratio, and completion status; based on the execution status of the control parameters, a user execution intervention instruction is obtained through the remote control. When the user execution intervention instruction exists, the user execution intervention instruction is used to match the state with the control parameters to obtain the intervention parameters; the intervention parameters are used to perform execution control, and the execution status of the intervention parameters is sent to the remote control display interface.

[0061] Furthermore, the usage analysis module 12 in the intelligent perception control device for the intelligent toilet remote controller is also used to:

[0062] Based on the sensor monitoring data of the pressure sensor, a pressure monitoring feature is obtained, and the pressure monitoring feature includes pressure distribution and its pressure magnitude and duration distribution; using the pressure monitoring feature as an index, related logs are searched from the operation log based on the attention mechanism, and joint control parameters are extracted according to the related logs; using the joint control parameters as an index, joint related operation features are identified and searched based on the operation log; based on the pressure monitoring feature and the joint related operation feature, the user usage requirements are obtained.

[0063] Furthermore, the usage analysis module 12 in the intelligent perception control device for the intelligent toilet remote controller is also used to:

[0064] According to the pressure monitoring characteristics, the user type is identified according to the pressure distribution and pressure magnitude, wherein the pressure distribution determines the user's breech coverage area and the pressure magnitude determines the user's gravity; a time series correspondence between the duration distribution and the pressure distribution and pressure magnitude is established to obtain the pressure change time series characteristics and identify the user's action pattern; the user type is used as a first-order feature and the user action pattern as a second-order feature, and associated logs are searched from the operation log; a target joint control parameter set is extracted from the associated log according to the first-order feature; and the joint control parameters are extracted from the target joint control parameter set according to the second-order feature.

[0065] Furthermore, the usage analysis module 12 in the intelligent perception control device for the intelligent toilet remote controller is also used to:

[0066] Explicit operation features are identified according to the joint control parameters; based on the operation log, the explicit operation features are used as basic components to identify the composition control change features to obtain implicit operation features; based on the explicit operation features and implicit operation features, the associated operation features in the operation log are iteratively captured, and all the associated operation features are aggregated to obtain the joint associated operation features.

[0067] Furthermore, the usage analysis module 12 in the intelligent perception control device for the intelligent toilet remote controller is also used to:

[0068] The pressure monitoring feature is used as a key input for identification, and is matched and analyzed with the joint associated operation feature to obtain a matching operation feature as the user usage requirement.

[0069] Furthermore, the environment analysis module 13 in the intelligent perception control device for the intelligent toilet remote controller is also used to:

[0070] The sensing monitoring data of the air quality sensor includes gas monitoring data, bacteria and stain monitoring data, and humidity monitoring data. The air odor characteristics are sensed based on the gas monitoring data, the self-cleaning characteristics are sensed based on the bacteria and stain monitoring data, and the moisture-proof insulation characteristics are sensed based on the humidity monitoring data; the deodorization control requirements are analyzed based on the air odor characteristics, the sterilization and cleaning control requirements are analyzed based on the self-cleaning characteristics, and the sealing and insulation control requirements are analyzed based on the moisture-proof and insulation characteristics; the environmental control requirements are obtained based on one or more of the deodorization control requirements, the sterilization and cleaning control requirements, and the sealing and insulation control requirements.

[0071] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1 The intelligent sensing control method and specific examples for the smart toilet remote controller in Example 1 are also applicable to the intelligent sensing control device for the smart toilet remote controller in this embodiment. Through the detailed description of the intelligent sensing control method for the smart toilet remote controller, those skilled in the art can clearly understand the intelligent sensing control device for the smart toilet remote controller in this embodiment. Therefore, for the sake of brevity, it will not be described in detail here. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple. For relevant details, please refer to the method description.

[0072] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

[0073] Obviously, those skilled in the art may make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. An intelligent sensing control method for an intelligent toilet remote controller, characterized in that: include: Connecting to pre-installed sensors to obtain sensor monitoring data, wherein the pre-installed sensors include at least a pressure sensor and an air quality sensor; Performing data perception analysis based on the sensor monitoring data of the pressure sensor to obtain user usage requirements; Performing data perception analysis based on the sensor monitoring data of the air quality sensor to obtain environmental control requirements; parsing control parameters according to the perceived user usage requirements and the environmental control requirements, matching remote control key paths, executing the control parameters using the remote control key paths, and sending the execution status of the control parameters to the remote control display interface; Perform data perception analysis based on the sensor monitoring data of the pressure sensor to obtain user usage requirements, including: Obtaining pressure monitoring characteristics based on the sensing monitoring data of the pressure sensor, wherein the pressure monitoring characteristics include pressure distribution and pressure magnitude and duration distribution; Using the pressure monitoring feature as an index, searching for associated logs from the operation log based on an attention mechanism, and extracting joint control parameters according to the associated logs; Using the joint control parameter as an index, identifying and searching for joint correlation operation features based on the operation log; Obtaining the user usage requirement according to the pressure monitoring feature and the joint correlation operation feature; Using the joint control parameter as an index, identifying and searching for joint correlation operation features based on the operation log includes: identifying an explicit operating characteristic based on the joint control parameter; Based on the operation log, the explicit operation feature is used as a basic component to perform composition control change feature identification to obtain implicit operation features; Iteratively capturing associated operation features in the operation log according to the explicit operation features and the implicit operation features, and aggregating all associated operation features to obtain the joint associated operation features; Obtaining the user usage requirement according to the pressure monitoring feature and the joint correlation operation feature includes: The pressure monitoring feature is used as a key input for identification, and is matched and analyzed with the joint associated operation feature to obtain a matching operation feature as the user usage requirement.

2. The intelligent sensing control method for an intelligent toilet remote controller according to claim 1, characterized in that: The execution status of the control parameter includes: ready to start state, execution state, execution progress ratio, and completion state. The method further includes: obtaining a user execution intervention instruction through a remote controller based on the execution state of the control parameter, and when the user execution intervention instruction exists, performing state matching and identification between the user execution intervention instruction and the control parameter to obtain the intervention parameter; The intervention parameters are used to perform execution control, and the execution status of the intervention parameters is sent to the remote control display interface.

3. The intelligent sensing control method for an intelligent toilet remote controller according to claim 1, characterized in that: Using the pressure monitoring feature as an index, searching for associated logs from the operation log based on the attention mechanism, and extracting joint control parameters based on the associated logs, including: Identifying the user type based on the pressure monitoring characteristics, according to the pressure distribution and pressure magnitude, wherein the pressure distribution determines the user's breech coverage area, and the pressure magnitude determines the user's weight; Establishing a time series correspondence between the duration distribution, pressure distribution, and pressure magnitude, obtaining a time series feature of pressure changes, and identifying a user action pattern; Using the user type as a first-order feature and the user action mode as a second-order feature, searching for related logs from the operation log; extracting a target joint control parameter set from the association log according to the first-order features; The joint control parameter is extracted from the target joint control parameter set according to the second-order feature.

4. The intelligent sensing control method for an intelligent toilet remote controller according to claim 1, wherein: Based on the sensor monitoring data of the air quality sensor, data perception analysis is performed to obtain environmental control requirements, including: The sensing monitoring data of the air quality sensor includes gas monitoring data, bacteria and stain monitoring data, and humidity monitoring data. The air odor characteristics are sensed based on the gas monitoring data, the self-cleaning characteristics are sensed based on the bacteria and stain monitoring data, and the moisture-proof insulation characteristics are sensed based on the humidity monitoring data. Analyze the deodorization control requirements based on the air odor characteristics, analyze the sterilization and cleaning control requirements based on the self-cleaning characteristics, and analyze the sealing and insulation control requirements based on the moisture-proof insulation characteristics; The environmental control requirement is obtained according to one or more of the deodorization control requirement, the sterilization and cleaning control requirement, and the sealing and insulation control requirement.

5. Intelligent sensing control device for intelligent toilet remote control, characterized in that: The steps for implementing the intelligent perception control method for a smart toilet remote controller according to any one of claims 1 to 4, wherein the intelligent perception control device for a smart toilet remote controller comprises: A monitoring data acquisition module, the monitoring data acquisition module is used to connect with pre-deployed sensors to obtain sensor monitoring data, the pre-deployed sensors at least including a pressure sensor and an air quality sensor; A usage analysis module, which is used to perform data perception analysis based on the sensor monitoring data of the pressure sensor to obtain user usage requirements; An environmental analysis module, configured to perform data perception analysis based on the sensor monitoring data of the air quality sensor to obtain environmental control requirements; A control execution module is used to parse control parameters based on the perceived user usage requirements and the environmental control requirements, match the remote control button path, execute the control parameters using the remote control button path, and send the execution status of the control parameters to the remote control display interface.

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