Intelligent sensing control method and device for intelligent closestool remote controller

Abstract

The invention provides an intelligent sensing control method and device for an intelligent closestool remote controller, and relates to the technical field of intelligent sensing control, and the method comprises the steps: connecting with a pre-arranged sensor, and obtaining sensing monitoring data; performing data sensing analysis according to sensing monitoring data of the pressure sensor; performing data sensing analysis according to sensing monitoring data of the air quality sensor; according to the perceived user use requirement and environment control requirement, control parameter analysis, remote controller key path matching and control parameter execution are carried out, and the execution state of the control parameter is sent to a remote controller display interface. According to the method and the device, the technical problem that the automation degree of the intelligent closestool is not enough due to the fact that an intelligent remote controller is usually preset and lacks self-adaptive adjustment capacity in the prior art can be solved, and the automation degree of the intelligent closestool is improved by sensing the requirements of a user and the environment state in real time and generating the corresponding control parameters.

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 controller. Background Art

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

[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 a pre-deployed sensor to obtain sensor monitoring data, wherein the pre-deployed sensor includes 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 parsing based on the perceived user usage requirements and the environmental control requirements, matching the remote control button path, executing the control parameters using the remote control button path, 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: By connecting with pre-deployed sensors, sensor monitoring data is obtained, and the pre-deployed sensors include at least pressure sensors and air quality sensors; according to the sensor monitoring data of the pressure sensor, data perception analysis is performed to obtain user usage requirements; according to the sensor monitoring data of the air quality sensor, data perception analysis is performed to obtain environmental control requirements; according to the perceived user usage requirements and environmental control requirements, control parameter parsing is performed, 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-deployed pressure sensors and air quality sensors, the user's needs and environmental conditions 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 users to view and adjust in real time, thereby improving the automation level of the smart toilet.

[0009] 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, it can be implemented according to the contents of the specification, and in order 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 cited 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

[0010] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0011] Figure 1 This is a flow chart of the intelligent sensing control method for the intelligent toilet remote controller of this application; Figure 2 This is a schematic diagram of the structure of the intelligent sensing control device used for the smart toilet remote control in this application.

[0012] Explanation of the reference numerals: monitoring data acquisition module 11 , usage analysis module 12 , environment analysis module 13 , control execution module 14 . DETAILED DESCRIPTION

[0013] This application solves the 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 by providing an intelligent perception control method and device for the smart toilet remote control. Through the pre-deployed pressure sensor and air quality sensor, the user's needs and environmental conditions are perceived in real time, the corresponding control parameters are generated, and the control is executed through the key path of the remote control. The execution status will be fed back to the remote control display interface, which is convenient for users to view and adjust in real time, thereby improving the automation of the smart toilet.

[0014] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0015] For example, please refer to the attached Figure 1 The present application provides an intelligent perception control method for an intelligent toilet remote controller, wherein the intelligent perception control method for an intelligent toilet remote controller is executed by an intelligent perception control device for an intelligent toilet remote controller, and the intelligent perception control method for an intelligent toilet remote controller specifically includes the following steps: Step 1: Connect with pre-installed sensors to obtain sensor monitoring data, wherein the pre-installed sensors include at least a pressure sensor and an air quality sensor.

[0016] Specifically, a variety of sensors are built into the smart toilet remote control to collect perception data of different 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 is used to sense the user's weight, sitting posture and other information, which helps to determine whether the user is using the toilet, and make personalized adjustments based on the user's body shape and habits, such as adjusting the height and temperature of the toilet seat. The air quality sensor is used to monitor the ambient air quality, including humidity, odor, harmful gases and other data, to determine whether the bathroom air needs to be purified, ventilated or deodorized. The sensing monitoring data includes the data of the pressure sensor and the data of the air quality sensor. The pressure sensor of the toilet seat ring senses the pressure distribution, pressure intensity, time, gravity, etc., identifies the different states of the user, and determines the user's needs. The perception analysis of the user's usage needs is performed based on the data of the pressure sensor, for example, the temperature of the toilet seat is adjusted by detecting the user's weight; the flushing preparation mode is automatically turned on by determining whether the user has stood up. Environmental sensors are used to monitor the humidity and air quality of the environment, such as bacteria and dust, to analyze the need for sterilization and decontamination of the toilet, and to analyze the need for environmental control based on the data from the air quality sensors. For example, when the odor concentration in the air exceeds the set threshold, the deodorization function or exhaust system is automatically activated to keep the air in the bathroom fresh. The system senses the need for purification or sealing of the environment. For example, when the humidity is high, the toilet lid needs to be closed to increase the sealing of the toilet, or the remote control needs to be powered off to protect the remote control. By connecting to pre-installed sensors, the smart toilet remote control can obtain key usage and environmental data in real time, and automatically adjust functions according to user behavior and environmental conditions, increasing the functionality and intelligence of the smart toilet.

[0017] Step 2: Perform data perception analysis based on the sensor monitoring data of the pressure sensor to obtain user usage requirements.

[0018] Specifically, according to the pressure sensor, the pressure distribution, pressure magnitude and duration distribution are obtained, the user's weight, sitting posture and other information are sensed, whether the user is using the toilet, and personalized adjustments are made according to the user's body shape and habits, such as adjusting the height and temperature of the toilet seat. Based on the data of the pressure sensor, the user's usage needs are perceived and analyzed to identify the user type and user action mode. Through the attention mechanism, the operation log is searched for records related to the sensor monitoring data to find the operation habits under similar pressure conditions. According to the associated logs found, the control parameters of the user under specific pressure conditions are extracted, and the operation logs are further analyzed to identify the user's operation characteristics under similar conditions. Combined with the pressure monitoring features and the joint associated operation features, the specific needs of the user are formed. For example, assuming that the pressure sensor detects that the user sits down quickly and the sitting posture lasts for a short time, indicating that the user may be in a hurry. Based on these data, the spray intensity and time are automatically adjusted to meet the user's needs. Through data perception analysis, the user's usage needs are accurately identified, and the settings are automatically adjusted according to the user's usage needs, ensuring the personalization and accuracy of the control scheme, so that the smart toilet remote control can dynamically adjust and meet user needs.

[0019] Step 3: Perform data perception analysis based on the sensor monitoring data of the air quality sensor to obtain environmental control requirements.

[0020] Specifically, the monitoring data of the air quality sensor includes gas monitoring data (such as the concentration of hydrogen sulfide or ammonia), bacterial stain monitoring data, and humidity monitoring data, which represent the environmental conditions of the bathroom. Data perception analysis is performed on the sensor monitoring data to identify the odor characteristics, self-cleaning requirements, and moisture-proof insulation requirements in the environment. For example, when the odor concentration in the air exceeds the set threshold, the deodorization function or exhaust system is automatically started to keep the bathroom air fresh. By monitoring and responding to odors and bacterial stains in the air, the bathroom is kept clean and healthy. Cleaning and maintenance operations are automatically performed according to the monitoring data, reducing user intervention and improving the automation of the smart toilet remote control.

[0021] Step 4: Analyze the control parameters according to the perceived user usage requirements and the environmental control requirements, match the remote control button path, use the remote control button path to execute the control parameters, and send the execution status of the control parameters to the remote control display interface.

[0022] Specifically, according to the user usage requirements and environmental control requirements obtained through data perception analysis, the specific control parameters that need to be executed are parsed, such as spray intensity, seat temperature, deodorization intensity, etc. The parsed control parameters are matched with the key path of the remote control to determine which button or button combination can activate the corresponding function. The remote control button can control the toilet function by physical or touch mode, such as adjusting the seat temperature, flushing mode, heating intensity, etc. Once the parsed control parameters are successfully matched with the remote control buttons, the corresponding operation is performed through the remote control, such as pressing the spray button to start the spray function. The execution status of the control parameters (such as ready to start, executing, completed, etc.) is displayed in real time on the display interface of the remote control so that the user can understand the current operating status of the toilet function, such as seat temperature, air purification status, flushing mode, etc. For example, assuming that the user usage requirement is a lighter spray intensity and the environmental control requirement is a deodorization function, the corresponding control parameters are parsed and matched with the key path of the remote control. The light mode of the 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 interface will be updated in real time, showing that the spray function is being executed with light force and the deodorization function is activated. By accurately controlling the execution of parameters and updating the execution status of control parameters in real time on the remote control display interface, intuitive operation feedback is provided, enhancing the user's sense of control and satisfaction.

[0023] Furthermore, the present application also includes the following steps: 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, and 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.

[0024] 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 it is considered 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.

[0025] When the user issues an intervention instruction through the buttons or touch screen on the remote control, such as adjusting the flushing water temperature, nozzle position, wind strength, etc., it is used to intervene or adjust the function execution of the smart toilet. The remote control matches the user's intervention instruction with the execution status of the current control parameter to determine how to adjust the control parameter. The parameter that needs to be adjusted according to the user's intervention instruction is the intervention parameter. For example, when the user is using the smart toilet, he finds that the seat heating temperature is too high, so he issues an intervention instruction to reduce the temperature through the remote control, and the user adjusts the water temperature from 37℃ to 40℃. After receiving the instruction, the remote control performs state matching and identification, confirms that it is currently in the execution state of seat heating, and adjusts the temperature to 40℃, then the intervention parameter is the water temperature of 40℃. The intervention parameter is used to perform execution control, adjust the current state, and send the execution state of the intervention parameter to the display interface of the remote control in real time. The user can immediately understand whether the instruction has been executed correctly and the current operation status. For example, the remote control display interface updates to show "seat temperature adjustment, current temperature 40℃". By providing detailed execution status and allowing user intervention, the smart toilet remote control increases the flexibility and adaptability of control.

[0026] Further, step 2 of this application includes: According to the sensing 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; with 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; with the joint control parameter as an index, joint related operation features are identified and searched based on the operation log; according to the pressure monitoring feature and the joint related operation feature, the user usage demand is obtained.

[0027] Specifically, the pressure information of the user when using the toilet is collected from the pressure sensor to obtain pressure monitoring features, including pressure distribution and its pressure magnitude, duration distribution, etc. Pressure distribution is to monitor the force distribution of the user on the seat cushion and identify the user's body shape, sitting posture, etc.; pressure magnitude is to dynamically adjust related functions according to the user's weight change or body shape characteristics; duration refers to monitoring the time the user stays on the toilet to determine the user's usage habits or whether other functions are needed (such as seat heating time, flushing waiting time, etc.). The operation log is the recorded user's historical operation data, including operation records, environmental data, equipment adjustment records, etc. for each use. Using the currently acquired pressure monitoring features (such as pressure distribution, pressure magnitude, duration, etc.) as an index, search the operation log 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 a large amount of data, similar to the ability of humans to focus on important information when observing things. The associated log refers to the operation log entries that match the pressure monitoring features. Based on the associated log, the joint control parameters are extracted to guide how the smart toilet controller adjusts its functions to adapt to the needs of the user. 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 logs are 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.

[0028] Using the joint control parameters as indexes, the operation logs are further analyzed to identify the user's operation characteristics in similar situations. For example, the user may prefer a certain seat temperature and flushing mode under a certain pressure distribution and pressure size; or the user may prefer a different cleaning mode or air purification mode at a specific length of use. By combining the current pressure monitoring characteristics with the joint associated operation characteristics extracted from the historical operation logs, the user's specific needs can be inferred, including the user's use operations and operation time in specific situations. Through the data monitoring of the pressure sensor and 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.

[0029] Furthermore, the present application also includes the following steps: According to the pressure monitoring characteristics, the user type is identified according to the pressure distribution and the pressure magnitude, wherein the pressure distribution determines the user's hip coverage area and the pressure magnitude determines the user's gravity; a time series correspondence between the duration distribution and the pressure distribution and the 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 the first-order feature and the user action pattern is used as the second-order feature to search for associated logs 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.

[0030] Specifically, according to the pressure distribution and pressure size of the pressure monitoring characteristics, different types of users can be distinguished, such as adults, children, the elderly, etc., or those who are fat or thin. 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. According to the pressure distribution, the user's hip coverage area can be determined to reflect the user's body shape and sitting posture. According to the pressure size, the user's approximate weight is determined. Establish a corresponding relationship between the duration distribution and the pressure distribution and pressure size, identify the timing characteristics of the pressure change, and determine the user's specific action mode, such as sitting down quickly, sitting down slowly, or sitting for a long time. The user's action mode may be related to the user's physiological state or emotion. 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.

[0031] Based on the user type (first-order feature) and user action mode (second-order feature), the associated logs are searched in the operation logs. First, the target joint control parameter set is filtered out according to the user type, which contains the historical operation data matching the user type. The target joint control parameter set extraction refers to extracting a set of joint control parameters suitable for the user type from the associated logs according to the user type. Further screening is performed according to the action mode, and the joint control parameters are extracted from the target joint control parameter set, which reflects the specific behavior habits and needs of the user. Joint control parameter extraction refers to further extracting the most appropriate joint control parameters from the target joint control parameter set according to the user action mode. Through hierarchical feature extraction, the control parameters can be adjusted more accurately to meet the specific needs of the user, improving the adaptability and intelligence level of the smart toilet.

[0032] Furthermore, the present application also includes the following steps: Identify explicit operation features according to the joint control parameters; based on the operation log, use the explicit operation features as basic components to identify component control change features to obtain implicit operation features; iteratively capture associated operation features in the operation log according to the explicit operation features and implicit operation features, and aggregate all associated operation features to obtain the joint associated operation features.

[0033] Specifically, based on the joint control parameters, the user's explicit operation characteristics are identified, which directly reflect the user's explicit behavior in a specific situation. Explicit operation characteristics refer to the user's explicit operation behavior when using the toilet, such as: adjusting the seat temperature (for example, the user likes to use a higher temperature in winter); selecting the flushing intensity (a stronger flushing mode may be selected for a long stay); starting the cleaning mode (selecting the automatic cleaning program based on past usage habits). Joint control parameters are extracted from the operation log based on the user's first-order characteristics (such as body shape and weight) and second-order characteristics (such as sitting posture and sitting time), and the explicit operation characteristics related to these parameters are matched in the operation log.

[0034] Further digging into the implicit operation characteristics, these characteristics may not be directly presented, but by analyzing the changes in the explicit operation characteristics, the user's potential behavior pattern can be inferred. Control change characteristics refer to the laws and trends reflected when the explicit operation characteristics change in the operation log. Analyze the changes in the explicit operation characteristics to infer the user's implicit operation characteristics. Implicit operation characteristics are potential patterns in user operations, which are not easy to observe directly, but can be revealed through data analysis. For example, users may automatically perform adjustment operations under certain conditions, such as deodorization, cleaning, and water temperature adjustment. If these basic operations cannot satisfy the user, the user may choose to repeat the operation, or repeat the entire combination. This repetitive operation reflects the user's implicit needs. For example, the operation log shows that a user repeats the cleaning operation after each use of the toilet, indicating that the user has a higher requirement for the degree of cleanliness. This is an implicit operation feature.

[0035] 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, and different weights are assigned to different features through the attention mechanism, so that the most relevant operation modes 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 through explicit features, but also the potential needs of users in similar situations are 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 that this is the user's implicit preference and is automatically applied in future usage scenarios.

[0036] After capturing all the associated operation features, the explicit and implicit operation features are aggregated to form a joint associated operation feature, which represents the user's comprehensive operation preferences in complex situations. All explicit operation features (such as seat temperature, flushing mode, etc.) and implicit operation features (such as cleaning mode preferences and air purification requirements for unclear operations) are summarized, and these features are weighted according to the relevance and importance of each feature to ensure that the aggregation results can reflect the user's actual needs and potential preferences. All aggregated features are combined into a complete joint associated operation feature, which can be used to generate a control strategy that best meets the user's preferences. For example, the user's seat temperature is automatically adjusted to a comfortable range; air purification and cleaning modes are automatically started based on past implicit preferences; and flushing modes are automatically optimized based on current pressure distribution and residence time. Through the iterative capture of explicit and implicit operation features, all the user's associated operation features are identified and aggregated to form the final joint associated operation feature, matching user needs according to multi-dimensional features to achieve personalized control of the smart toilet remote control function.

[0037] Furthermore, the present application also includes the following steps: The pressure monitoring feature is used as a key input for identification, and a matching analysis is performed with the joint associated operation feature to obtain a matching operation feature as the user usage requirement.

[0038] Specifically, the pressure sensor collects the user's pressure monitoring data in real time, extracts the pressure distribution, pressure size, and duration, which directly reflects the user's interaction mode with the smart toilet. Through the analysis of the joint associated operation features, the user's historical operation records are found. The joint associated operation features include the user's explicit operation features (such as adjusting the seat temperature, cleaning mode, etc.) and implicit operation features (such as automatically starting air purification, flushing intensity, etc.), and identify the operation behavior closest to the current situation from the historical records to provide a basis for predicting the current user's needs. The pressure monitoring features are used as the key input for identification, and the pressure monitoring features are compared with the joint associated operation features obtained through the operation log analysis to find the correlation between the two. Matching analysis refers to the smart toilet remote control comparing and analyzing the pressure monitoring features with the joint associated operation features to find matching operation features. Through matching analysis, the operation mode that matches the current situation is identified, and the user's usage needs are inferred based on this, such as the user may need flushing, warm air drying, or seat heating. Through matching analysis, the user's usage needs can be accurately identified, and the settings can be automatically adjusted according to the user's usage needs. The user's needs can also be predicted and the settings can be adjusted in advance, which improves the overall operation efficiency.

[0039] Further, step three of this application includes: 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 according to the gas monitoring data, the self-cleaning characteristics are sensed according to the bacteria and stain monitoring data, and the moisture-proof insulation characteristics are sensed according to the humidity monitoring data; the deodorization control requirements are analyzed according to the air odor characteristics, the sterilization and cleaning control requirements are analyzed according to the self-cleaning characteristics, and the sealing insulation control requirements are analyzed according to the moisture-proof insulation characteristics; the environmental control requirements are obtained according to one or more of the deodorization control requirements, the sterilization and cleaning control requirements, and the sealing insulation control requirements.

[0040] Specifically, air quality sensors mainly monitor various components and environmental parameters in the air, such as odor, humidity, bacteria, and dust. Sensor monitoring data includes gas monitoring data, bacteria and stain monitoring data, humidity monitoring data, etc. Among them, gas monitoring is to detect common odor gases such as volatile organic compounds (VOCs), ammonia, hydrogen sulfide, etc. in the air, and perceive the odor characteristics of the air based on the gas monitoring data; bacteria and stain monitoring is to detect the content of bacteria and dust based on particulate matter in the air, judge the hygiene conditions, and perceive the self-cleaning characteristics based on the bacteria and stain monitoring data; humidity monitoring is to detect the humidity of the bathroom, judge whether the air is too humid, and perceive whether moisture-proof and insulation measures are needed based on the humidity monitoring data, such as turning on the ventilation fan to prevent electrical components from getting wet.

[0041] Through the characteristics of air odor, it is analyzed whether it is necessary to start the deodorization function, such as activating an air purifier or an ozone generator. When the concentration of odorous gases (such as ammonia, hydrogen sulfide, etc.) in the air reaches the set threshold, it automatically identifies that the air quality has dropped, starts the deodorization system, automatically sprays air fresheners or turns on the air purifier to remove the odor in the bathroom. The bacteria and stain monitoring data reveals the cleanliness of the smart toilet. If the bacteria or stain level exceeds the threshold, it analyzes whether it is necessary to start the sterilization and cleaning program, such as automatic flushing or ultraviolet disinfection. When the air quality sensor detects that the bacteria or particulate matter content exceeds the standard, it is judged that the sanitation situation has deteriorated, and the ultraviolet sterilization lamp or ozone sterilization device is started to sterilize the air regularly or immediately to ensure the safety and cleanliness of the bathroom air. The sensor detects a large number of bacteria or dust particles suspended in the air, or identifies that there may be dirt attached, and starts the cleaning mode to automatically clean the inside of the toilet, the seat, and related surface parts to ensure a clean and hygienic bathroom environment, including water flow cleaning, spray cleaning, and even adding disinfectant for deeper cleaning when 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 to cut off electrical equipment that may be affected by moisture to prevent short circuit or leakage. At the same time, it starts the exhaust system or dehumidification device to reduce indoor humidity and ensure a dry and safe environment.

[0042] The control needs analyzed from the above three characteristics are used to determine the required environmental control measures based on one or more needs. Through data perception and analysis of air quality sensors, different environmental control needs are identified, including deodorization, sterilization, dirt cleaning, and insulation protection in humid conditions. Combined with the control of the smart toilet remote control, environmental control services are dynamically provided to ensure the cleanliness, safety, and comfort of the bathroom environment.

[0043] In summary, the intelligent perception control method for a smart toilet remote controller provided by this application has the following technical effects: By connecting with pre-deployed sensors, sensor monitoring data is obtained, and the pre-deployed sensors include at least pressure sensors and air quality sensors; according to the sensor monitoring data of the pressure sensor, data perception analysis is performed to obtain user usage requirements; according to the sensor monitoring data of the air quality sensor, data perception analysis is performed to obtain environmental control requirements; according to the perceived user usage requirements and environmental control requirements, control parameter parsing is performed, 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-deployed pressure sensors and air quality sensors, the user's needs and environmental conditions 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 users to view and adjust in real time, thereby improving the automation level of the smart toilet.

[0044] Embodiment 2, based on the same inventive concept as the intelligent sensing control method for the intelligent toilet remote controller in the aforementioned 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 controller includes: The monitoring data acquisition module 11 is used to connect with the pre-deployed sensors to obtain sensor monitoring data. The pre-deployed sensors at least include a pressure sensor and an air quality sensor.

[0045] The usage analysis module 12 is used to perform data perception analysis based on the sensor monitoring data of the pressure sensor to obtain user usage requirements.

[0046] 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.

[0047] 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.

[0048] Furthermore, the intelligent perception control device for the intelligent toilet remote controller also includes an execution state module for: 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, and 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.

[0049] Furthermore, the usage analysis module 12 in the intelligent perception control device for the intelligent toilet remote controller is also used for: According to the sensing 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; with 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; with the joint control parameter as an index, joint related operation features are identified and searched based on the operation log; according to the pressure monitoring feature and the joint related operation feature, the user usage demand is obtained.

[0050] Furthermore, the usage analysis module 12 in the intelligent perception control device for the intelligent toilet remote controller is also used for: According to the pressure monitoring characteristics, the user type is identified according to the pressure distribution and the pressure magnitude, wherein the pressure distribution determines the user's hip coverage area and the pressure magnitude determines the user's gravity; a time series correspondence between the duration distribution and the pressure distribution and the 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 the first-order feature and the user action pattern is used as the second-order feature to search for associated logs 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.

[0051] Furthermore, the usage analysis module 12 in the intelligent perception control device for the intelligent toilet remote controller is also used for: Identify explicit operation features according to the joint control parameters; based on the operation log, use the explicit operation features as basic components to identify component control change features to obtain implicit operation features; iteratively capture associated operation features in the operation log according to the explicit operation features and implicit operation features, and aggregate all associated operation features to obtain the joint associated operation features.

[0052] Furthermore, the usage analysis module 12 in the intelligent perception control device for the intelligent toilet remote controller is also used for: The pressure monitoring feature is used as a key input for identification, and a matching analysis is performed with the joint associated operation feature to obtain a matching operation feature as the user usage requirement.

[0053] Furthermore, the environment analysis module 13 in the intelligent perception control device for the intelligent toilet remote controller is also used for: 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 according to the gas monitoring data, the self-cleaning characteristics are sensed according to the bacteria and stain monitoring data, and the moisture-proof insulation characteristics are sensed according to the humidity monitoring data; the deodorization control requirements are analyzed according to the air odor characteristics, the sterilization and cleaning control requirements are analyzed according to the self-cleaning characteristics, and the sealing insulation control requirements are analyzed according to the moisture-proof insulation characteristics; the environmental control requirements are obtained according to one or more of the deodorization control requirements, the sterilization and cleaning control requirements, and the sealing insulation control requirements.

[0054] 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 intelligent toilet remote controller in the first embodiment are also applicable to the intelligent sensing control device for the intelligent toilet remote controller in the present embodiment. Through the above detailed description of the intelligent sensing control method for the intelligent toilet remote controller, those skilled in the art can clearly know the intelligent sensing control device for the intelligent toilet remote controller in the present embodiment, so for the sake of brevity of the specification, 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, and the relevant parts can be referred to the method part description.

[0055] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those 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 will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0056] Obviously, those skilled in the art can 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 belong to the scope of the present application and its equivalent technology, the present application is also 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 with 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 sensing 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; The control parameters are parsed according to the perceived user usage requirements and the environmental control requirements, the remote control button paths are matched, the control parameters are executed using the remote control button paths, and the execution status of the control parameters is sent to the remote control display interface.

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 status, execution status, execution progress ratio, and completion status. The method further includes: Based on the execution state of the control parameter, a user execution intervention instruction is obtained through the remote controller, and when the user execution intervention instruction exists, the user execution intervention instruction is used to match and identify the state with the control parameter to obtain the intervention parameter; The intervention parameter is used to perform execution control, and the execution status of the intervention parameter 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: According to the sensing monitoring data of the pressure sensor, data perception analysis is performed to obtain user usage requirements, including: Obtaining pressure monitoring characteristics according to 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 associated operation features based on the operation log; The user usage requirement is obtained according to the pressure monitoring feature and the joint association operation feature.

4. The intelligent sensing control method for an intelligent toilet remote controller according to claim 3, 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 according to the associated logs, including: According to the pressure monitoring characteristics, the user type is identified according to the pressure distribution and the pressure magnitude, wherein the pressure distribution determines the user's hip coverage area and the pressure magnitude determines the user's gravity; Establishing a time series correspondence between the duration distribution, pressure distribution, and pressure magnitude, obtaining a time series feature of pressure change, and identifying a user action mode; 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 logs; 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.

5. The intelligent sensing control method for an intelligent toilet remote controller according to claim 3, characterized in that: Using the joint control parameter as an index, identifying and searching for joint associated 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; The associated operation features in the operation log are iteratively captured according to the explicit operation features and the implicit operation features, and all the associated operation features are aggregated to obtain the joint associated operation features.

6. The intelligent sensing control method for an intelligent toilet remote controller according to claim 5, characterized in that: Obtaining the user usage requirement according to the pressure monitoring feature and the joint association operation feature includes: The pressure monitoring feature is used as a key input for identification, and a matching analysis is performed with the joint associated operation feature to obtain a matching operation feature as the user usage requirement.

7. The intelligent sensing control method for an intelligent toilet remote controller according to claim 1, characterized in that: According to the sensing 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 according to the gas monitoring data, the self-cleaning characteristics are sensed according to the bacteria and stain monitoring data, and the moisture-proof insulation characteristics are sensed according to the humidity monitoring data. Analyze the deodorization control requirements according to the air odor characteristics, analyze the sterilization and cleaning control requirements according to the self-cleaning characteristics, and analyze the sealing and insulation control requirements according to 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.

8. An intelligent sensing control device for an intelligent toilet remote controller, characterized in that: The steps for implementing the intelligent sensing control method for a smart toilet remote controller according to any one of claims 1 to 7, the intelligent sensing control device for a smart toilet remote controller comprises: A monitoring data acquisition module, wherein the monitoring data acquisition module is used to connect with pre-deployed sensors to obtain sensor monitoring data, wherein the pre-deployed sensors include at least a pressure sensor and an air quality sensor; A usage analysis module, the usage analysis module is used to perform data perception analysis based on the sensing monitoring data of the pressure sensor to obtain user usage requirements; An environmental analysis module, the environmental 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, wherein the control execution module is used to parse 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.

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