Intelligent toilet environment control system based on Internet of Things
By designing an intelligent bathroom environment control system based on the Internet of Things, the problem that existing systems cannot provide personalized environmental settings is solved, and automatic adjustment is achieved according to user needs is achieved, environmental comfort and hygiene conditions are improved, and energy consumption is reduced.
Patent Information
- Application Number
- CN202510366313.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-26
- Publication Date
- 2025-04-25
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing smart home system cannot provide personalized environmental settings according to the needs of different family members, and lacks intelligent situational awareness and self-regulation capabilities, resulting in the bathroom environment being unable to always maintain the most suitable state.
A bathroom environment intelligent control system based on the Internet of Things is designed, including environmental parameter acquisition module, environmental intelligent adjustment module, remote monitoring control module, personalized adjustment module and user identification module. The system monitors environmental parameters in real time through sensors, automatically adjusts temperature, humidity and air quality according to users' environmental preferences and usage habits, and supports remote control and personalized settings.
It realizes automatic adjustment of the bathroom environment according to the needs of different family members, improves the comfort and hygiene of the environment, reduces energy consumption, and improves the intelligence and user experience of the system.
Smart Images

Figure CN119879353A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent environment control, and in particular to an intelligent control system for toilet environment based on the Internet of Things. Background Art
[0002] In daily life, the bathroom is a frequently used space, and its environmental quality is crucial to the comfort and health of users. Traditional bathroom environment adjustment methods usually rely on manual operations, such as manually adjusting air conditioners, humidifiers or ventilation equipment, which is not only cumbersome but also easily affected by human factors, resulting in the bathroom environment not always being kept in the most suitable state.
[0003] Some existing smart home systems use sensors to collect environmental data and adjust devices in real time, but these systems usually lack accurate recognition and intelligent adjustment of individual user preferences. Although some systems can automatically adjust the environment based on environmental parameters (such as temperature, humidity, air quality, etc.), they often cannot provide personalized environmental settings according to the needs of different family members. For example, different family members may have different needs for temperature, humidity, and air quality, and traditional smart systems cannot provide customized services based on the preferences and usage habits of different family members.
[0004] In addition, although existing remote control systems can enable users to remotely operate and adjust equipment, they are generally limited to simple parameter adjustments and lack intelligent situational awareness and personalized services. In actual applications, users often need to constantly adjust settings manually, and the system lacks the ability to automatically learn and self-adjust. Summary of the invention
[0005] The purpose of the present invention is to provide an intelligent control system for toilet environment based on the Internet of Things to solve the problems raised in the above background technology.
[0006] To achieve the above purpose, the present invention provides the following technical solution: an intelligent control system for bathroom environment based on the Internet of Things, comprising: Environmental parameter collection module, used for: Real-time monitoring of environmental parameter data in the bathroom through sensors; Environmental intelligent adjustment module, used for: Based on the environmental parameter data and the target environmental parameters set by the user, control the smart devices to adjust the environment in the bathroom, the smart devices including ventilation equipment, air conditioning equipment and humidifier; Remote monitoring control module for: Conduct remote information interaction with the mobile APP terminal, display the environmental parameter data of the bathroom in real time on the mobile APP terminal, receive remote control instructions and target environmental parameter setting instructions from the mobile APP terminal, remotely control the smart device based on the remote control instructions, and record the user information of the mobile APP terminal that issued the remote control instructions; Individual adjustment module for: Obtain user information and remote control instructions, and extract the adjustment instruction content and instruction sending time in the remote control instructions; Extract the current user information's environmental preference based on the content of the adjustment instruction, expand the time period of the instruction sending time and generate a common time period; Associate each user's information with their environment preferences and frequently used time periods; When the time reaches a commonly used time period, the user information corresponding to the current commonly used time period is read, and the smart device is automatically adjusted based on the environmental preference associated with the user information; When it is not in the usual time period, switch to the environment intelligent adjustment module to control the smart device; Subscriber Identity Module, used for: The user information entering the bathroom is identified through facial recognition and Bluetooth wireless positioning. When it is not in the usual time period, the identified user information is sent to the personalized adjustment module.
[0007] Furthermore, the sensors include a temperature sensor, a humidity sensor and a gas sensor, and the sensors are deployed inside the bathroom.
[0008] Furthermore, the environment intelligent adjustment module is also used for: Receiving environmental parameter data, the environmental parameter data including temperature parameter, humidity parameter and air quality parameter, wherein the air quality parameter includes CO2 concentration and VOC concentration; receiving target environmental parameters, wherein the target environmental parameters include a target temperature value, a target humidity value, and a target air quality parameter; Set a tolerance threshold, compare the difference between the calculated environmental parameter data and the target environmental parameter, and when the difference is greater than the tolerance threshold, control the smart device to adjust the environment in the bathroom according to the target environmental parameter; When the environmental parameter data reaches the target environmental parameter, the adjustment operation of the environmental intelligent adjustment module is terminated.
[0009] Furthermore, the environment intelligent adjustment module is also used for: When the difference between the environmental parameter data and the target environmental parameter is not greater than the tolerance threshold, the data values of the temperature parameter and the humidity parameter contained in the environmental parameter data are extracted in real time; Obtaining the temperature and humidity comprehensive fluctuation coefficients corresponding to the temperature and humidity parameters according to the data values of the temperature and humidity parameters included in the environmental parameter data; The temperature and humidity comprehensive fluctuation coefficient is obtained by the following formula: ; Where G represents the comprehensive fluctuation coefficient of temperature and humidity; n represents the number of data collection times of the temperature sensor; m represents the number of data collection times of the humidity sensor; T i represents the temperature data value corresponding to the i-th collection of the temperature sensor; T p W represents the average value of the temperature data collected by the temperature sensor n times; ti W represents the humidity data value of the corresponding bathroom collected by the temperature sensor for the i-th time; p W represents the average value of humidity data corresponding to m times of humidity sensor collection; s represents the standard deviation of humidity data corresponding to m acquisitions by the humidity sensor; W i represents the humidity data value corresponding to the i-th collection of the humidity sensor; T wi represents the temperature data value of the corresponding bathroom collected by the humidity sensor for the i-th time; T s Indicates the standard deviation of temperature data corresponding to n acquisitions by the temperature sensor; Comparing the temperature and humidity comprehensive fluctuation coefficient with a preset temperature and humidity fluctuation coefficient threshold; When the temperature and humidity comprehensive fluctuation coefficient exceeds a preset temperature and humidity fluctuation coefficient threshold, the collection frequencies of the temperature sensor, humidity sensor and gas sensor are adjusted.
[0010] Furthermore, when the temperature and humidity comprehensive fluctuation coefficient exceeds a preset temperature and humidity fluctuation coefficient threshold, the acquisition frequency of the temperature sensor and the humidity sensor is adjusted, including: When the temperature and humidity comprehensive fluctuation coefficient exceeds a preset temperature and humidity fluctuation coefficient threshold, extracting the temperature and humidity comprehensive fluctuation coefficient; Extract the currently adjusted acquisition frequency of the temperature sensor and humidity sensor and the temperature and humidity comprehensive fluctuation coefficient corresponding to each acquisition frequency adjustment; The temperature acquisition frequency adjustment coefficient and humidity acquisition frequency adjustment coefficient corresponding to the temperature sensor and the humidity sensor are obtained by using the number of acquisition frequencies currently experienced by the temperature sensor and the humidity sensor and the temperature and humidity comprehensive fluctuation coefficient corresponding to each acquisition frequency adjustment; The temperature acquisition frequency adjustment coefficient is obtained by the following formula: ; Among them, K trepresents the temperature acquisition frequency adjustment coefficient; G represents the comprehensive fluctuation coefficient of temperature and humidity; k represents the number of acquisition frequencies that have been adjusted corresponding to the temperature sensor; G i represents the comprehensive fluctuation coefficient of temperature and humidity corresponding to the temperature sensor when the collection frequency is adjusted for the i-th time; P i represents the acquisition frequency adjustment ratio when the temperature sensor adjusts the acquisition frequency for the i-th time; T c Indicates the specific value corresponding to the target temperature value; T gi represents the temperature data value of the bathroom when the temperature sensor adjusts the collection frequency for the i-th time; G pt It represents the average value of the comprehensive fluctuation coefficient of temperature and humidity when the temperature sensor adjusts the collection frequency k times; At the same time, the humidity collection frequency adjustment coefficient is obtained by the following formula: ; Among them, K w represents the humidity acquisition frequency adjustment coefficient; G represents the temperature and humidity comprehensive fluctuation coefficient; s represents the number of acquisition frequencies that have been adjusted corresponding to the humidity sensor; G j P represents the comprehensive fluctuation coefficient of temperature and humidity when the humidity sensor adjusts the acquisition frequency for the jth time; j W represents the ratio of the acquisition frequency adjustment amplitude when the humidity sensor adjusts the acquisition frequency for the jth time; c Indicates the specific value corresponding to the target humidity value; W gj G represents the humidity data value of the bathroom when the humidity sensor adjusts the collection frequency for the jth time; pw It represents the average value of the comprehensive fluctuation coefficient of temperature and humidity when the humidity sensor adjusts the collection frequency s times; The temperature acquisition frequency adjustment coefficient and the humidity acquisition frequency adjustment coefficient are used to adjust the acquisition frequencies of the temperature sensor and the humidity sensor, and the adjusted acquisition frequencies of the temperature sensor and the humidity sensor are obtained by the following formula: ; Among them, F t and F w Indicates the acquisition frequency of the adjusted temperature sensor and humidity sensor; F t0 and F w0 Indicates the acquisition frequency of the temperature sensor and humidity sensor before adjustment; K t Indicates the temperature acquisition frequency adjustment coefficient; K w Indicates the humidity collection frequency adjustment coefficient.
[0011] Furthermore, when the temperature and humidity comprehensive fluctuation coefficient exceeds a preset temperature and humidity fluctuation coefficient threshold, the acquisition frequency of the gas sensor is adjusted, including: When the temperature and humidity comprehensive fluctuation coefficient exceeds the preset temperature and humidity fluctuation coefficient threshold, the temperature and humidity comprehensive fluctuation coefficient is retrieved; Extract the currently adjusted acquisition frequency of the gas sensor and the CO2 concentration and VOC concentration corresponding to each acquisition frequency adjustment; Obtaining a gas collection frequency adjustment coefficient corresponding to the gas sensor using the currently adjusted collection frequency of the gas sensor and the CO2 concentration and VOC concentration corresponding to each collection frequency adjustment; The gas collection frequency adjustment coefficient is obtained by the following formula: ; Among them, K q represents the gas collection frequency adjustment coefficient; G represents the temperature and humidity comprehensive fluctuation coefficient; x represents the number of times the gas sensor has undergone adjustment in the collection frequency; G qj represents the comprehensive fluctuation coefficient of temperature and humidity when the gas sensor adjusts the collection frequency for the i-th time; C i and V i represents the CO2 concentration and VOC concentration of the gas sensor corresponding to the i-th adjustment of the acquisition frequency; C m and V m Indicates the target CO2 concentration and target VOC concentration included in the target air quality parameters; The gas collection frequency adjustment coefficient is used to adjust the collection frequency of the gas sensor, and the adjusted collection frequency of the gas sensor is obtained by the following formula: ; Among them, F q Indicates the acquisition frequency of the adjusted gas sensor; F q0 Indicates the acquisition frequency of the gas sensor before adjustment; K q Indicates the gas sampling frequency adjustment coefficient.
[0012] Furthermore, the remote monitoring control module is also used for: Receive environmental parameter data and display it in charts and numbers on the mobile APP terminal interface; Receive and update environmental parameter data in real time; Receive remote control instructions from the mobile APP terminal, extract adjustment instruction content in the remote control instructions, and remotely control the smart device based on the adjustment instruction content; Receive the target environment parameter setting instruction sent by the user through the mobile APP terminal and transmit it to the environment intelligent adjustment module; When receiving a remote control command, the user information issuing the command is recorded and stored.
[0013] Furthermore, the personalized adjustment module includes: User preference acquisition unit, used to: Receive user information and remote control instructions from the remote monitoring control module; Extracting adjustment instruction content from the remote control instruction, wherein the adjustment instruction content includes a temperature adjustment value and a humidity adjustment value; According to the user information carried in the remote control command, the adjustment command content is associated with the user information to generate the user's personalized environmental preferences; Stores user information and environment preferences for each user in the system database.
[0014] Furthermore, the personalized adjustment module further includes: The time period generation unit is used to: Extracting a command sending time from the remote control command, where the command sending time is a specific timestamp of a user sending the remote control command; Integrate all instruction sending times under the same user information and generate an adjustment time set, analyze and calculate the occurrence frequency of each instruction sending time in the adjustment time set, and filter out one or more common time periods; The common time period is defined as the time range in which the user frequently sends remote control instructions; Associating frequently used time periods with user information and storing frequently used time periods for each user in a system database; Every time a user sends a remote control command, the adjustment time set is updated and the commonly used time period is calculated; Intelligent regulation control unit for: Get the current system time and determine whether the current time is in a common time period; If the current system time is in a common time period, read the user information and environmental preferences associated with the common time period, and adjust the smart device based on the environmental preferences until the environmental parameter data is consistent with the environmental preferences; If the current system time is not in the common time period, the environment intelligent adjustment module is switched to perform conventional adjustment, wherein the conventional adjustment is to adjust the environment in the bathroom according to the target environment parameters set by the user; When the user information sent by the user identification module is received, the environment preference associated with the user information is read, and the smart device is adjusted based on the environment preference until the environment parameter data is consistent with the environment preference.
[0015] Furthermore, the user identification module collects facial information of users entering the bathroom through a camera installed at the bathroom entrance for facial recognition, and identifies Bluetooth devices carried by users through a Bluetooth sensor installed in the bathroom. The Bluetooth devices include smartphones and smart bracelets with Bluetooth function.
[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention provides a healthy and comfortable use environment by comprehensively monitoring the environmental parameters in the bathroom, automatically adjusting the air quality, temperature and humidity, etc., and detecting the CO2 concentration and VOC concentration in the bathroom in real time. Once the air quality is found to be declining, the system will automatically turn on the ventilation equipment to ensure fresh air and avoid the growth of bacteria and mold. The humidity adjustment function can prevent the humid environment of the bathroom caused by excessive humidity, thereby effectively reducing the threat of mold, bacteria, etc. to health. Intelligent adjustment not only improves the sanitary condition of the bathroom, but also provides strong protection for the health of users, especially for users with allergies, respiratory diseases or skin problems, the health protection effect is more significant.
[0017] 2. The environmental intelligent adjustment module of the present invention can adjust the operating status of the equipment in real time according to the actual collected environmental data to ensure the efficient use of energy. When the environmental parameters have reached the target value, the system will automatically stop or reduce the operating intensity of the relevant equipment, thereby avoiding unnecessary waste of energy. It can control the operation of the equipment more accurately, avoid excessive adjustment or long-term opening of the equipment, and thus significantly improve the efficiency of energy use, reduce energy consumption and electricity expenditure, especially in the overall layout of the smart home, which helps to realize the whole house intelligent management and energy optimization configuration, and create a living environment for users that is both energy-saving and efficient.
[0018] 3. The present invention can automatically adjust the environmental parameters in the bathroom, such as temperature, humidity, and air quality, according to the unique needs and living habits of each family member through a personalized adjustment system. Through facial recognition and Bluetooth positioning technology, family members can be accurately identified and automatically adjusted to a preset personalized environment to ensure that each family member has the most comfortable experience when using the bathroom. The environment is automatically adjusted according to different time periods, avoiding the trouble of manual operation and improving the convenience of living. Through this intelligent management, family members can enjoy the most suitable environmental settings whenever they enter the bathroom, greatly improving their quality of life. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] Figure 1 It is a schematic diagram of the intelligent control system module of the present invention. DETAILED DESCRIPTION
[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0021] See also Figure 1 , the present invention provides the following technical solutions: The intelligent control system of bathroom environment based on the Internet of Things includes: Environmental parameter collection module, used for: The environmental parameter data in the bathroom is monitored in real time through sensors, including temperature sensors, humidity sensors and gas sensors, which are deployed inside the bathroom; Environmental intelligent adjustment module, used for: Based on the environmental parameter data and the target environmental parameters set by the user, the smart devices are controlled to adjust the environment in the bathroom, and the smart devices include ventilation equipment, air conditioning equipment and humidifier; Remote monitoring control module for: Interact with the mobile APP terminal remotely, display the environmental parameter data of the bathroom in real time on the mobile APP terminal, receive the remote control instructions and target environmental parameter setting instructions from the mobile APP terminal, remotely control the smart device based on the remote control instructions, and record the user information of the mobile APP terminal that issued the remote control instructions; Individual adjustment module for: Obtain user information and remote control instructions, and extract the adjustment instruction content and instruction sending time in the remote control instructions; Extract the current user information's environmental preference based on the content of the adjustment instruction, expand the time period of the instruction sending time and generate a common time period; Associate each user's information with their environment preferences and frequently used time periods; When the time reaches the commonly used time period, the user information corresponding to the current commonly used time period is read, and the smart device is automatically adjusted based on the environmental preferences associated with the user information; When it is not in the usual time period, switch to the environment intelligent adjustment module to control the smart device; Subscriber Identity Module, used for: The user information entering the bathroom is identified through facial recognition and Bluetooth wireless positioning. Specifically, the facial information of the user entering the bathroom is collected by a camera installed at the bathroom entrance for facial recognition, and the Bluetooth device carried by the user is identified through a Bluetooth sensor installed in the bathroom. The Bluetooth device includes a smartphone and a smart bracelet with Bluetooth function. When it is not in the usual time period, the identified user information is sent to the personalized adjustment module.
[0022] In the above embodiment, through the real-time collection of environmental parameter data and the automatic adjustment of intelligent devices, the system can adjust the temperature, humidity and air quality in the bathroom according to actual needs. For example, when the temperature is too high, the system automatically adjusts the air conditioning equipment; when the humidity is too low, the system activates the humidifier; when the air quality decreases, the system starts the ventilation equipment to ensure that the environment in the bathroom always meets the user's comfort requirements. Since the system can make precise adjustments according to environmental changes, when the environmental conditions are close to the target environmental parameters, the system will automatically stop adjusting, thereby avoiding energy waste. By automatically controlling temperature, humidity and air quality, the system significantly reduces energy consumption and effectively improves the efficiency of equipment use.
[0023] In the above embodiment, the system can identify the user and adjust the environment according to the user's environmental preferences through the collaboration of facial recognition, Bluetooth positioning and remote control modules. By tracking the user's habits and needs over a long period of time, the system can learn and optimize the environmental adjustment strategy, thereby providing a customized environmental control experience. This personalized adjustment not only improves the user's comfort, but also makes the bathroom environment more in line with the life needs of each user.
[0024] In the above embodiment, the remote monitoring function allows users to view the environmental parameter data of the bathroom through the mobile APP anytime and anywhere, and remotely operate the smart device according to needs. This convenient control method provides users with great flexibility and control.
[0025] In the above embodiment, by intelligently adjusting the air quality (such as improving air circulation by controlling ventilation equipment), the risk of mold, odor and bacteria breeding is reduced, thereby indirectly improving the sanitation of the bathroom. This allows users to enjoy a comfortable environment while reducing the workload of cleaning.
[0026] The environmental intelligent adjustment module is also used for: Receiving environmental parameter data, the environmental parameter data including temperature parameter, humidity parameter and air quality parameter, wherein the air quality parameter includes CO2 concentration and VOC concentration; receiving target environmental parameters, wherein the target environmental parameters include a target temperature value, a target humidity value, and a target air quality parameter; Set a tolerance threshold, compare the difference between the calculated environmental parameter data and the target environmental parameter, and when the difference is greater than the tolerance threshold, control the smart device to adjust the environment in the bathroom according to the target environmental parameter; When the environmental parameter data reaches the target environmental parameter, the adjustment operation of the environmental intelligent adjustment module is terminated.
[0027] In the above embodiment, the environment intelligent adjustment module obtains the environment parameter data in real time through the sensor and compares it with the set target environment parameter. When it is detected that the difference between the environment parameter data and the target environment parameter exceeds the set tolerance threshold, the system automatically activates the corresponding intelligent device (such as air conditioner, humidifier, ventilation equipment) for adjustment. This intelligent adjustment method ensures that the environment parameters are always within the preset comfort range, thereby improving the user experience.
[0028] In the above embodiment, the working state of the device is automatically adjusted according to the difference between the environmental parameter data and the target environmental parameter. When the environmental condition reaches the target value, the adjustment module will stop controlling the device to avoid unnecessary energy waste. Especially when the environmental parameters such as air quality, temperature and humidity change greatly, the intelligent adjustment module can adjust the power of the device according to actual needs to maximize the energy utilization efficiency of the system.
[0029] In the above embodiment, by setting the tolerance threshold, the system can automatically make corresponding adjustments according to environmental changes. For example, if a large temperature change is detected, the system will quickly start the air conditioning equipment to adjust the temperature; if the air quality is poor, the system will automatically start the ventilation equipment to purify the air. This adaptive environmental adjustment capability can ensure that the user is always in the most comfortable environment without manual intervention.
[0030] In the above embodiment, accurate environmental adjustment not only optimizes the comfort of the bathroom, but also can be adjusted in time according to environmental changes in different time periods. For example, during periods of time when temperature and humidity change greatly (such as morning and evening), the system can preset environmental parameters in advance to ensure that the environmental conditions are adjusted to the best state when the user enters the bathroom.
[0031] Specifically, the environment intelligent adjustment module is also used for: When the difference between the environmental parameter data and the target environmental parameter is not greater than the tolerance threshold, the data values of the temperature parameter and the humidity parameter contained in the environmental parameter data are extracted in real time; Obtaining the temperature and humidity comprehensive fluctuation coefficients corresponding to the temperature and humidity parameters according to the data values of the temperature and humidity parameters included in the environmental parameter data; The temperature and humidity comprehensive fluctuation coefficient is obtained by the following formula: ; Where G represents the comprehensive fluctuation coefficient of temperature and humidity; n represents the number of data collection times of the temperature sensor; m represents the number of data collection times of the humidity sensor; T i represents the temperature data value corresponding to the i-th collection of the temperature sensor; T p W represents the average value of the temperature data collected by the temperature sensor n times; tiW represents the humidity data value of the corresponding bathroom collected by the temperature sensor for the i-th time; p W represents the average value of humidity data corresponding to m times of humidity sensor collection; s represents the standard deviation of humidity data corresponding to m acquisitions by the humidity sensor; W i represents the humidity data value corresponding to the i-th collection of the humidity sensor; T wi represents the temperature data value of the corresponding bathroom collected by the humidity sensor for the i-th time; T s Indicates the standard deviation of temperature data corresponding to n acquisitions by the temperature sensor; Comparing the temperature and humidity comprehensive fluctuation coefficient with a preset temperature and humidity fluctuation coefficient threshold; When the temperature and humidity comprehensive fluctuation coefficient exceeds a preset temperature and humidity fluctuation coefficient threshold, the collection frequencies of the temperature sensor, humidity sensor and gas sensor are adjusted.
[0032] The technical effect of the above technical scheme is as follows: the scheme first determines whether the difference between the environmental parameter data and the target environmental parameter is not greater than the tolerance threshold, which ensures that data collection and analysis are performed only when the environmental state is close to the target state, thereby improving the real-time and pertinence of data processing. By extracting the data values of the temperature parameter and the humidity parameter in real time, the temperature and humidity conditions of the current environment can be accurately reflected, providing a reliable basis for subsequent analysis. By introducing the temperature and humidity comprehensive fluctuation coefficient G, the coefficient comprehensively considers the fluctuation of temperature and humidity, including their respective average values, standard deviations, and cross-influences (such as the association between bathroom humidity and temperature data), thereby providing a comprehensive environmental fluctuation evaluation index. This comprehensive evaluation method is more comprehensive than considering temperature or humidity fluctuations alone, and can more accurately reflect the stability and comfort of environmental conditions. The temperature and humidity comprehensive fluctuation coefficient is compared with the preset temperature and humidity fluctuation coefficient threshold, and the acquisition frequency of the temperature sensor, humidity sensor, and gas sensor is intelligently adjusted according to the comparison result. When the environmental fluctuation is large, increasing the acquisition frequency can more effectively monitor environmental changes; when the environment is relatively stable, reducing the acquisition frequency can save resources and extend the life of the sensor. By intelligently adjusting the acquisition frequency, the scheme can optimize the use efficiency of the sensor and reduce unnecessary energy consumption while ensuring the accuracy of environmental monitoring. This has important energy-saving significance for systems that require long-term monitoring of environmental conditions. Real-time monitoring and intelligent adjustment can ensure that environmental conditions remain within the preset comfort range, thereby improving the user experience in specific environments (such as bathrooms). Especially in environments that are sensitive to temperature and humidity, the application of this technical solution can significantly improve user satisfaction and comfort.
[0033] In summary, this technical solution extracts and analyzes environmental parameter data in real time, introduces the comprehensive fluctuation coefficient of temperature and humidity for comprehensive evaluation, and intelligently adjusts the sensor acquisition frequency according to the evaluation results, thereby achieving accurate monitoring and intelligent management of environmental conditions, with significant energy-saving effects and improved user comfort.
[0034] Specifically, when the temperature and humidity comprehensive fluctuation coefficient exceeds a preset temperature and humidity fluctuation coefficient threshold, the acquisition frequency of the temperature sensor and the humidity sensor is adjusted, including: When the temperature and humidity comprehensive fluctuation coefficient exceeds a preset temperature and humidity fluctuation coefficient threshold, extracting the temperature and humidity comprehensive fluctuation coefficient; Extract the currently adjusted acquisition frequency of the temperature sensor and humidity sensor and the temperature and humidity comprehensive fluctuation coefficient corresponding to each acquisition frequency adjustment; The temperature acquisition frequency adjustment coefficient and humidity acquisition frequency adjustment coefficient corresponding to the temperature sensor and the humidity sensor are obtained by using the number of acquisition frequencies currently experienced by the temperature sensor and the humidity sensor and the temperature and humidity comprehensive fluctuation coefficient corresponding to each acquisition frequency adjustment; The temperature acquisition frequency adjustment coefficient is obtained by the following formula: ; Among them, K t represents the temperature acquisition frequency adjustment coefficient; G represents the comprehensive fluctuation coefficient of temperature and humidity; k represents the number of acquisition frequencies that have been adjusted corresponding to the temperature sensor; G i represents the comprehensive fluctuation coefficient of temperature and humidity corresponding to the temperature sensor when the collection frequency is adjusted for the i-th time; P i represents the acquisition frequency adjustment ratio when the temperature sensor adjusts the acquisition frequency for the i-th time; T c Indicates the specific value corresponding to the target temperature value; T gi represents the temperature data value of the bathroom when the temperature sensor adjusts the collection frequency for the i-th time; G pt It represents the average value of the comprehensive fluctuation coefficient of temperature and humidity when the temperature sensor adjusts the collection frequency k times; At the same time, the humidity collection frequency adjustment coefficient is obtained by the following formula: ; Among them, K w represents the humidity acquisition frequency adjustment coefficient; G represents the temperature and humidity comprehensive fluctuation coefficient; s represents the number of acquisition frequencies that have been adjusted corresponding to the humidity sensor; G j P represents the comprehensive fluctuation coefficient of temperature and humidity when the humidity sensor adjusts the acquisition frequency for the jth time; j W represents the ratio of the acquisition frequency adjustment amplitude when the humidity sensor adjusts the acquisition frequency for the jth time; cIndicates the specific value corresponding to the target humidity value; W gj G represents the humidity data value of the bathroom when the humidity sensor adjusts the collection frequency for the jth time; pw It represents the average value of the comprehensive fluctuation coefficient of temperature and humidity when the humidity sensor adjusts the collection frequency s times; The temperature acquisition frequency adjustment coefficient and the humidity acquisition frequency adjustment coefficient are used to adjust the acquisition frequencies of the temperature sensor and the humidity sensor, and the adjusted acquisition frequencies of the temperature sensor and the humidity sensor are obtained by the following formula: ; Among them, F t and F w Indicates the acquisition frequency of the adjusted temperature sensor and humidity sensor; F t0 and F w0 Indicates the acquisition frequency of the temperature sensor and humidity sensor before adjustment; K t Indicates the temperature acquisition frequency adjustment coefficient; K w Indicates the humidity collection frequency adjustment coefficient.
[0035] The technical effect of the above technical solution is: the solution monitors the comprehensive fluctuation coefficient of temperature and humidity in real time, and dynamically adjusts the acquisition frequency of the temperature sensor and the humidity sensor according to its changes. This dynamic adjustment mechanism enables the system to respond to environmental changes more flexibly and improve the accuracy and response speed of monitoring. The temperature acquisition frequency adjustment coefficient and the humidity acquisition frequency adjustment coefficient are calculated by complex formulas using historical acquisition frequency adjustment data (including the number of acquisition frequencies, the comprehensive fluctuation coefficient of temperature and humidity at each adjustment, the acquisition frequency adjustment amplitude ratio, etc.). This data-based intelligent decision-making method makes the adjustment more accurate and scientific, avoiding the waste of resources and inaccurate monitoring caused by blind adjustment. By adjusting the acquisition frequency, the system can minimize unnecessary acquisition operations while ensuring monitoring accuracy, thereby saving sensor resources and system energy consumption. This has important economic significance for environmental monitoring systems that need to run for a long time. Dynamically adjusting the acquisition frequency helps the system run more stably. In the case of large fluctuations in temperature and humidity, increasing the acquisition frequency can ensure that the system captures environmental changes in a timely manner to avoid false alarms or missed alarms; while in the case of relatively stable temperature and humidity, reducing the acquisition frequency can reduce the system load and improve the stability and reliability of system operation. Through precise environmental monitoring and intelligent frequency adjustment, the system can provide users with a more comfortable and stable environment. This has a significant effect on improving user experience for places that require strict control of environmental conditions (such as data centers, laboratories, etc.). This solution is not only applicable to temperature sensors and humidity sensors, but can also be extended to other types of sensors, such as gas sensors. At the same time, the formulas and parameters in the solution can be adjusted and optimized according to specific application scenarios to adapt to different monitoring needs and environmental conditions.
[0036] In summary, this technical solution achieves accurate monitoring and intelligent management of environmental conditions by introducing the temperature and humidity comprehensive fluctuation coefficient and intelligent frequency adjustment mechanism. This solution not only improves the dynamic adaptability and intelligence level of the system, but also optimizes resource utilization and system stability, providing users with a more comfortable and reliable environmental monitoring experience.
[0037] Specifically, when the temperature and humidity comprehensive fluctuation coefficient exceeds a preset temperature and humidity fluctuation coefficient threshold, the acquisition frequency of the gas sensor is adjusted, including: When the temperature and humidity comprehensive fluctuation coefficient exceeds the preset temperature and humidity fluctuation coefficient threshold, the temperature and humidity comprehensive fluctuation coefficient is retrieved; Extract the currently adjusted acquisition frequency of the gas sensor and the CO2 concentration and VOC concentration corresponding to each acquisition frequency adjustment; Obtaining a gas collection frequency adjustment coefficient corresponding to the gas sensor using the currently adjusted collection frequency of the gas sensor and the CO2 concentration and VOC concentration corresponding to each collection frequency adjustment; The gas collection frequency adjustment coefficient is obtained by the following formula: ; Among them, K q represents the gas collection frequency adjustment coefficient; G represents the temperature and humidity comprehensive fluctuation coefficient; x represents the number of times the gas sensor has undergone adjustment in the collection frequency; G qj represents the comprehensive fluctuation coefficient of temperature and humidity when the gas sensor adjusts the collection frequency for the i-th time; C i and V i represents the CO2 concentration and VOC concentration of the gas sensor corresponding to the i-th adjustment of the acquisition frequency; C m and V m Indicates the target CO2 concentration and target VOC concentration included in the target air quality parameters; The gas collection frequency adjustment coefficient is used to adjust the collection frequency of the gas sensor, and the adjusted collection frequency of the gas sensor is obtained by the following formula: ; Among them, F q Indicates the acquisition frequency of the adjusted gas sensor; F q0 Indicates the acquisition frequency of the gas sensor before adjustment; K q Indicates the gas sampling frequency adjustment coefficient.
[0038] The technical effect of the above technical solution is: by comparing the temperature and humidity comprehensive fluctuation coefficient with the preset threshold, the adjustment of the gas sensor acquisition frequency is triggered when the threshold is exceeded, which ensures that when the environmental conditions fluctuate greatly and may affect the air quality, the system can monitor the concentration of key gases such as CO2 and VOC more frequently, thereby improving the accuracy of air quality monitoring. The solution uses the historical acquisition frequency adjustment data of the gas sensor (including the number of acquisition frequencies, the temperature and humidity comprehensive fluctuation coefficient at each adjustment, the CO2 concentration and the VOC concentration) to calculate the gas acquisition frequency adjustment coefficient. This intelligent adjustment mechanism based on historical data enables the system to dynamically adjust the acquisition frequency according to the actual changes in environmental conditions, avoiding the waste of resources or insufficient monitoring problems that may be caused by fixed frequency acquisition. By dynamically adjusting the acquisition frequency of the gas sensor, the system can minimize unnecessary acquisition operations while ensuring monitoring accuracy. This helps to reduce sensor energy consumption and extend the service life of the sensor, thereby achieving resource optimization and energy saving effects. When the environmental conditions change significantly, the system can quickly adjust the acquisition frequency of the gas sensor to capture the changing trend of air quality more quickly. This improves the response speed of the system, allowing the system to issue warnings or take corresponding measures more promptly to ensure the safety of ambient air quality. Accurate air quality monitoring and intelligent frequency adjustment mechanism enable the system to provide users with a more comfortable and healthy indoor environment. This has a significant effect on improving user experience for places where air quality needs to be strictly controlled (such as offices, schools, hospitals, etc.). This solution is not only suitable for the monitoring of gases such as CO2 and VOC, but can also be extended to the monitoring of other gases according to actual needs. At the same time, the formulas and parameters in the solution can be adjusted and optimized according to specific application scenarios to adapt to different monitoring needs and environmental conditions. In addition, the modular design of the system makes subsequent maintenance and expansion easier.
[0039] In summary, this technical solution achieves accurate monitoring and intelligent management of ambient air quality by introducing the temperature and humidity comprehensive fluctuation coefficient and the intelligent gas sensor acquisition frequency adjustment mechanism. This solution not only improves the system's response speed and monitoring accuracy, but also optimizes resource utilization and system stability, providing users with a more comfortable and healthy indoor environment monitoring experience.
[0040] The remote monitoring control module is also used for: Receive environmental parameter data and display it in charts and numbers on the mobile APP terminal interface; Receive and update environmental parameter data in real time; Receive remote control instructions from the mobile APP terminal, extract adjustment instruction content in the remote control instructions, and remotely control the smart device based on the adjustment instruction content; Receive the target environment parameter setting instruction sent by the user through the mobile APP terminal and transmit it to the environment intelligent adjustment module; When receiving a remote control command, the user information issuing the command is recorded and stored.
[0041] In the above embodiment, the remote monitoring and control module receives and updates the environmental parameter data in real time, and displays important parameters including temperature, humidity, CO2 concentration, etc. on the mobile APP terminal interface. The user can intuitively view the current environmental conditions of the bathroom, providing data support for adjusting and optimizing the environment. Through the remote control function, the user can adjust the environmental parameters at any time without entering the bathroom. For example, the user can adjust the target temperature and humidity values through the APP, or manually start ventilation, humidifiers and other equipment. This remote control method provides users with greater flexibility and convenience.
[0042] In the above embodiment, through the remote control module, the system can receive instructions from the user in real time and adjust the environmental parameters according to the user's needs. At the same time, the system can analyze the user's preferences based on the user's historical control data and further optimize the adjustment strategy. This personalized experience greatly improves the applicability of the system and the user's satisfaction.
[0043] In the above embodiment, the remote monitoring control module can not only receive control instructions, but also record the time when the instructions are issued, the equipment operation records and user information. Through these data, the system can optimize the environmental adjustment strategy. For example, the system can infer the user's future needs based on the user's historical control records and adjust the environmental parameters in advance, thereby further improving the intelligence level of the system.
[0044] In the above embodiment, the remote monitoring control module also has a user information recording function, which can automatically store and associate relevant control instructions according to the operation records and environmental adjustment requirements of different users. In this way, multiple family members can control the bathroom environment through the same APP terminal, and each user's preference settings can be personalized, which improves the versatility and ease of use of the system.
[0045] Personalized adjustment module, including: User preference acquisition unit, used to: Receive user information and remote control instructions from the remote monitoring control module; Extracting adjustment instruction content from the remote control instruction, wherein the adjustment instruction content includes a temperature adjustment value and a humidity adjustment value; According to the user information carried in the remote control command, the adjustment command content is associated with the user information to generate the user's personalized environmental preferences; Stores user information and environment preferences for each user in the system database.
[0046] The time period generation unit is used to: Extracting a command sending time from the remote control command, where the command sending time is a specific timestamp of a user sending the remote control command; Integrate all instruction sending times under the same user information and generate an adjustment time set, analyze and calculate the occurrence frequency of each instruction sending time in the adjustment time set, and filter out one or more common time periods; The common time period is defined as the time range in which the user frequently sends remote control instructions; Associating frequently used time periods with user information and storing frequently used time periods for each user in a system database; Every time a user sends a remote control command, the adjustment time set is updated and the commonly used time period is calculated; Intelligent regulation control unit for: Get the current system time and determine whether the current time is in a common time period; If the current system time is in a common time period, read the user information and environmental preferences associated with the common time period, and adjust the smart device based on the environmental preferences until the environmental parameter data is consistent with the environmental preferences; If the current system time is not in the common time period, the environment intelligent adjustment module is switched to perform conventional adjustment, wherein the conventional adjustment is to adjust the environment in the bathroom according to the target environment parameters set by the user; When the user information sent by the user identification module is received, the environment preference associated with the user information is read, and the smart device is adjusted based on the environment preference until the environment parameter data is consistent with the environment preference.
[0047] In the above embodiment, the personalized adjustment module can analyze and extract the user's personalized needs for environmental parameters such as temperature and humidity by obtaining the user's control instructions and associated user information. Through the accumulation of historical instruction data, the system can accurately infer the user's environmental preferences and provide targeted environmental adjustment solutions.
[0048] In the above embodiment, the user's control instruction time is automatically analyzed to generate the user's commonly used time period. By learning the user's usage habits, the system can automatically adjust the environmental conditions during the user's commonly used time period, and switch to the regular adjustment mode during uncommon time periods. This time period-based adjustment method further improves the system's intelligence level and user experience.
[0049] In the above embodiment, in combination with the user identification module, the personalized adjustment module can automatically identify the user's identity when entering the bathroom, and automatically adjust the smart device based on the user's environmental preferences. This personalized adjustment method allows each family member to enjoy their own unique environmental conditions, improving overall comfort. The personalized adjustment module can maximize the comfort of the bathroom through automated adjustment, so that users can enjoy appropriate temperature, humidity and air quality whenever they enter the bathroom. By automatically learning the user's habits, the system can also continuously optimize the adjustment plan to achieve true intelligent adjustment.
[0050] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.
Claims
1. The intelligent control system of bathroom environment based on Internet of Things is characterized by: include: The environmental parameter collection module is configured to: collect environmental parameter data in the bathroom in real time; The intelligent environmental adjustment module is configured to: adjust the environment in the bathroom based on the environmental parameter data and the target environmental parameters set by the user; calculate the comprehensive fluctuation coefficient of temperature and humidity based on the number of data collection times of the sensor and the environmental parameter data collected each time; when the comprehensive fluctuation coefficient of temperature and humidity exceeds the preset threshold, obtain the corresponding collection frequency adjustment coefficient of the temperature and humidity sensor by using the number of collection frequencies currently experienced by the temperature and humidity sensors and the comprehensive fluctuation coefficient of temperature and humidity corresponding to each collection frequency adjustment; obtain the corresponding collection frequency adjustment coefficient of the gas sensor by using the collection frequency currently adjusted by the gas sensor and the CO2 concentration and VOC concentration corresponding to each collection frequency adjustment; dynamically adjust the collection frequency of the temperature, humidity and gas sensors based on the collection frequency adjustment coefficient; The remote monitoring control module is configured to: display the environmental parameter data of the bathroom in real time on the mobile APP terminal and control the smart devices based on the remote control instructions; A personalized adjustment module is configured to: extract and associate the environmental preferences and common time periods of each user information based on the remote control command, and automatically adjust the smart device during the common time periods; The user identification module is configured to: identify the user information entering the bathroom through facial recognition and based on Bluetooth wireless positioning.
2. The bathroom environment intelligent control system based on the Internet of Things as claimed in claim 1, characterized in that: The environmental parameter acquisition module acquires environmental parameter data in the bathroom through sensors, wherein the sensors include a temperature sensor, a humidity sensor, and a gas sensor, and the sensors are deployed inside the bathroom.
3. The bathroom environment intelligent control system based on the Internet of Things as claimed in claim 1 is characterized in that: The environment intelligent adjustment module is also used for: Receiving environmental parameter data, the environmental parameter data including temperature parameter, humidity parameter and air quality parameter, wherein the air quality parameter includes CO2 concentration and VOC concentration; receiving target environmental parameters, wherein the target environmental parameters include a target temperature value, a target humidity value, and a target air quality parameter; Set a tolerance threshold, compare the difference between the calculated environmental parameter data and the target environmental parameter, and when the difference is greater than the tolerance threshold, control the smart device to adjust the environment in the bathroom according to the target environmental parameter; When the environmental parameter data reaches the target environmental parameter, the adjustment operation of the environmental intelligent adjustment module is terminated.
4. The bathroom environment intelligent control system based on the Internet of Things as claimed in claim 3 is characterized in that: The environment intelligent adjustment module is also used for: When the difference between the environmental parameter data and the target environmental parameter is not greater than the tolerance threshold, the data values of the temperature parameter and the humidity parameter contained in the environmental parameter data are extracted in real time; Obtaining the temperature and humidity comprehensive fluctuation coefficients corresponding to the temperature and humidity parameters according to the data values of the temperature and humidity parameters included in the environmental parameter data; The temperature and humidity comprehensive fluctuation coefficient is obtained by the following formula: ; Where G represents the comprehensive fluctuation coefficient of temperature and humidity; n represents the number of data collection times of the temperature sensor; m represents the number of data collection times of the humidity sensor; T i represents the temperature data value corresponding to the i-th collection of the temperature sensor; T p W represents the average value of temperature data collected by the temperature sensor n times; ti W represents the humidity data value of the corresponding bathroom collected by the temperature sensor for the i-th time; p W represents the average value of humidity data corresponding to m times of humidity sensor collection; s represents the standard deviation of humidity data corresponding to m acquisitions by the humidity sensor; W i represents the humidity data value corresponding to the i-th collection of the humidity sensor; T wi represents the temperature data value of the corresponding bathroom collected by the humidity sensor for the i-th time; T s Indicates the standard deviation of temperature data corresponding to n acquisitions by the temperature sensor; Comparing the temperature and humidity comprehensive fluctuation coefficient with a preset temperature and humidity fluctuation coefficient threshold; When the temperature and humidity comprehensive fluctuation coefficient exceeds a preset temperature and humidity fluctuation coefficient threshold, the collection frequencies of the temperature sensor, humidity sensor and gas sensor are adjusted.
5. The bathroom environment intelligent control system based on the Internet of Things as claimed in claim 4 is characterized in that: When the temperature and humidity comprehensive fluctuation coefficient exceeds the preset temperature and humidity fluctuation coefficient threshold, the acquisition frequency of the temperature sensor and the humidity sensor is adjusted, including: When the temperature and humidity comprehensive fluctuation coefficient exceeds a preset temperature and humidity fluctuation coefficient threshold, extracting the temperature and humidity comprehensive fluctuation coefficient; Extract the currently adjusted acquisition frequency of the temperature sensor and humidity sensor and the temperature and humidity comprehensive fluctuation coefficient corresponding to each acquisition frequency adjustment; The temperature acquisition frequency adjustment coefficient and humidity acquisition frequency adjustment coefficient corresponding to the temperature sensor and the humidity sensor are obtained by using the number of acquisition frequencies currently experienced by the temperature sensor and the humidity sensor and the temperature and humidity comprehensive fluctuation coefficient corresponding to each acquisition frequency adjustment; The temperature acquisition frequency adjustment coefficient is obtained by the following formula: ; Among them, K t represents the temperature acquisition frequency adjustment coefficient; G represents the comprehensive fluctuation coefficient of temperature and humidity; k represents the number of acquisition frequencies that have been adjusted corresponding to the temperature sensor; G i represents the comprehensive fluctuation coefficient of temperature and humidity corresponding to the temperature sensor when the collection frequency is adjusted for the i-th time; P i represents the acquisition frequency adjustment ratio when the temperature sensor adjusts the acquisition frequency for the i-th time; T c Indicates the specific value corresponding to the target temperature value; T gi represents the temperature data value of the bathroom when the temperature sensor adjusts the collection frequency for the i-th time; G pt It represents the average value of the comprehensive fluctuation coefficient of temperature and humidity when the temperature sensor adjusts the collection frequency k times; At the same time, the humidity collection frequency adjustment coefficient is obtained by the following formula: ; Among them, K w represents the humidity acquisition frequency adjustment coefficient; G represents the temperature and humidity comprehensive fluctuation coefficient; s represents the number of acquisition frequencies that have been adjusted corresponding to the humidity sensor; G j P represents the comprehensive fluctuation coefficient of temperature and humidity when the humidity sensor adjusts the acquisition frequency for the jth time; j W represents the ratio of the acquisition frequency adjustment amplitude when the humidity sensor adjusts the acquisition frequency for the jth time; c Indicates the specific value corresponding to the target humidity value; W gj G represents the humidity data value of the bathroom when the humidity sensor adjusts the collection frequency for the jth time; pw It represents the average value of the comprehensive fluctuation coefficient of temperature and humidity when the humidity sensor adjusts the collection frequency s times; The temperature acquisition frequency adjustment coefficient and the humidity acquisition frequency adjustment coefficient are used to adjust the acquisition frequencies of the temperature sensor and the humidity sensor, and the adjusted acquisition frequencies of the temperature sensor and the humidity sensor are obtained by the following formula: ; Among them, F t and F w Indicates the acquisition frequency of the adjusted temperature sensor and humidity sensor; F t0 and F w0 Indicates the acquisition frequency of the temperature sensor and humidity sensor before adjustment; K t Indicates the temperature acquisition frequency adjustment coefficient; K w Indicates the humidity collection frequency adjustment coefficient.
6. The bathroom environment intelligent control system based on the Internet of Things as claimed in claim 5, characterized in that: When the temperature and humidity comprehensive fluctuation coefficient exceeds the preset temperature and humidity fluctuation coefficient threshold, the acquisition frequency of the gas sensor is adjusted, including: When the temperature and humidity comprehensive fluctuation coefficient exceeds the preset temperature and humidity fluctuation coefficient threshold, the temperature and humidity comprehensive fluctuation coefficient is retrieved; Extract the currently adjusted acquisition frequency of the gas sensor and the CO2 concentration and VOC concentration corresponding to each acquisition frequency adjustment; Obtaining a gas collection frequency adjustment coefficient corresponding to the gas sensor using the currently adjusted collection frequency of the gas sensor and the CO2 concentration and VOC concentration corresponding to each collection frequency adjustment; The gas collection frequency adjustment coefficient is obtained by the following formula: ; Among them, K q represents the gas collection frequency adjustment coefficient; G represents the temperature and humidity comprehensive fluctuation coefficient; x represents the number of times the gas sensor has undergone adjustment in the collection frequency; G qj represents the comprehensive fluctuation coefficient of temperature and humidity when the gas sensor adjusts the collection frequency for the i-th time; C i and V i represents the CO2 concentration and VOC concentration of the gas sensor corresponding to the i-th adjustment of the acquisition frequency; C m and V m Indicates the target CO2 concentration and target VOC concentration included in the target air quality parameters; The gas collection frequency adjustment coefficient is used to adjust the collection frequency of the gas sensor, and the adjusted collection frequency of the gas sensor is obtained by the following formula: ; Among them, F q Indicates the acquisition frequency of the adjusted gas sensor; F q0 Indicates the acquisition frequency of the gas sensor before adjustment; K q Indicates the gas sampling frequency adjustment coefficient.
7. The bathroom environment intelligent control system based on the Internet of Things as claimed in claim 1, characterized in that: The remote monitoring control module is also used for: Receive environmental parameter data and display it in charts and numbers on the mobile APP terminal interface; Receive and update environmental parameter data in real time; Receive remote control instructions from the mobile APP terminal, extract adjustment instruction content in the remote control instructions, and remotely control the smart device based on the adjustment instruction content; Receive the target environment parameter setting instruction sent by the user through the mobile APP terminal and transmit it to the environment intelligent adjustment module; When receiving a remote control command, the user information issuing the command is recorded and stored.
8. The bathroom environment intelligent control system based on the Internet of Things as claimed in claim 1, characterized in that: The personalized adjustment module includes: User preference acquisition unit, used to: Receive user information and remote control instructions from the remote monitoring control module; Extracting adjustment instruction content from the remote control instruction, wherein the adjustment instruction content includes a temperature adjustment value and a humidity adjustment value; According to the user information carried in the remote control command, the adjustment command content is associated with the user information to generate the user's personalized environmental preferences; Stores user information and environment preferences for each user in the system database.
9. The bathroom environment intelligent control system based on the Internet of Things as claimed in claim 8, characterized in that: The personalized adjustment module further includes: The time period generation unit is used to: Extracting a command sending time from the remote control command, where the command sending time is a specific timestamp of a user sending the remote control command; Integrate all instruction sending times under the same user information and generate an adjustment time set, analyze and calculate the occurrence frequency of each instruction sending time in the adjustment time set, and filter out one or more common time periods; The common time period is defined as the time range in which the user frequently sends remote control instructions; Associating frequently used time periods with user information and storing frequently used time periods for each user in a system database; Every time a user sends a remote control command, the adjustment time set is updated and the commonly used time period is calculated; Intelligent regulation control unit for: Get the current system time and determine whether the current time is in a common time period; If the current system time is in a common time period, read the user information and environmental preferences associated with the common time period, and adjust the smart device based on the environmental preferences until the environmental parameter data is consistent with the environmental preferences; If the current system time is not in the common time period, the environment intelligent adjustment module is switched to perform conventional adjustment, wherein the conventional adjustment is to adjust the environment in the bathroom according to the target environment parameters set by the user; When the user information sent by the user identification module is received, the environment preference associated with the user information is read, and the smart device is adjusted based on the environment preference until the environment parameter data is consistent with the environment preference.
10. The bathroom environment intelligent control system based on the Internet of Things as claimed in claim 1, characterized in that: The user identification module collects facial information of users entering the bathroom through a camera installed at the bathroom entrance for facial recognition, and identifies the Bluetooth devices carried by the users through a Bluetooth sensor installed in the bathroom. The Bluetooth devices include smartphones and smart bracelets with Bluetooth functions. When not in a common time period, the identified user information is sent to the personalized adjustment module.
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