An Internet smart home control system and method for regulating indoor environment

Abstract

The present invention relates to the field of smart home technology, and discloses an Internet smart home control system and method for regulating indoor environment. The system includes a data acquisition layer, which collects indoor real-time temperature, humidity and light data through smart sensors; a data processing layer, which is configured to determine whether to adjust the control parameters of the indoor environment according to the real-time data, and store the real-time data, preset target parameters, and control parameters; a device control layer: a parameter adjustment layer, which stores historical environmental data and generates user environmental preferences in combination with the real-time data stored in the data processing layer; and a device control layer receives indoor environmental monitoring data, analysis results, and target adjustment parameters from the data processing layer and the parameter adjustment layer. The present invention not only realizes precise regulation of the indoor environment, but also improves the user experience and system intelligence level through multiple innovative functions such as user interaction modules and parameter adjustment layers.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental control, and in particular to an Internet smart home control system and method for regulating indoor environment. Background Art

[0002] Indoor environment control has always been a focus of attention in homes and offices. With the improvement of people's living standards and the advancement of technology, people have higher requirements for the comfort, health and intelligence of the indoor environment. However, traditional indoor environment control systems mostly rely on wired connections and local control, which cannot meet the needs of remote control and intelligent adjustment.

[0003] Therefore, there is an urgent need for a new type of indoor environment control system that can fully utilize the advantages of the Internet to achieve remote monitoring, intelligent adjustment and efficient energy saving. Summary of the invention

[0004] In view of this, the present invention proposes an Internet smart home control system and method for regulating indoor environment, aiming to provide a more intelligent, convenient and personalized indoor environment management experience.

[0005] The present invention proposes an Internet smart home control system for regulating indoor environment, comprising:

[0006] The data collection layer is used to collect real-time data of the indoor environment through intelligent sensors, and the real-time data includes real-time temperature, real-time humidity and real-time light;

[0007] The data processing layer is configured to determine whether to adjust the control parameters of the indoor environment according to the real-time data, and store the real-time data, the preset target parameters, and the control parameters; at the same time, when the judgment result is to adjust the control parameters of the indoor environment, the data processing layer is configured to adjust the control parameters of the indoor environment according to the preset target parameters and the real-time data; wherein the preset target parameters include target temperature, target humidity, and target illumination; and the control parameters include temperature control parameters, humidity control parameters, and illumination control parameters;

[0008] The parameter adjustment layer stores historical environmental data and generates user environmental preferences in combination with the real-time data stored in the data processing layer; at the same time, the target adjustment parameters are determined according to the user environmental preferences;

[0009] The device control layer is used to connect to the user's handheld terminal. The device control layer receives the indoor environment monitoring data, analysis results and target adjustment parameters from the data processing layer and the parameter adjustment layer, and displays the indoor environment monitoring data, analysis results and target adjustment parameters on the user's handheld terminal. At the same time, according to the target adjustment parameters, the device control layer controls the indoor equipment to adjust the indoor environment.

[0010] Preferably, the data processing layer is configured to determine whether to adjust the control parameters of the indoor environment according to the real-time data, including:

[0011] After receiving the real-time data, the data processing layer pre-processes the received real-time data to remove abnormal data and noise;

[0012] Compare the preprocessed data with the preset environmental parameter range;

[0013] When the preprocessed data is lower than the lowest temperature threshold in the preset environmental parameter range or higher than the highest temperature threshold in the preset environmental parameter range, it is determined that the control parameters of the indoor environment need to be adjusted.

[0014] Preferably, the data processing layer is configured to adjust the control parameters of the indoor environment according to the preset target parameters and the real-time data when the judgment result is to adjust the control parameters of the indoor environment, including:

[0015] The indoor environment control system includes n temperature sensors, and the temperatures measured are T1, T2, ..., Tn respectively; the data acquisition layer obtains the external temperature through the Internet, which is recorded as Tou; the target temperature is recorded as Ttar; the working parameter of the temperature control device is recorded as P; the working parameter P of the temperature control device is calculated according to the following calculation formula:

[0016] ;

[0017] ;

[0018] Among them, Tave is the average temperature of several points in the room; α and β are weight coefficients, and α+β=1; Kt is the proportional coefficient of temperature adjustment.

[0019] Preferably, the data processing layer is configured to adjust the control parameters of the indoor environment according to the preset target parameters and the real-time data when the judgment result is to adjust the control parameters of the indoor environment, including:

[0020] The indoor environment control system includes n humidity sensors, and the humidity measured is H1, H2, ..., Hn respectively; the data acquisition layer obtains the external humidity through the Internet, which is recorded as Hout; the target humidity is recorded as Htar; the working parameter of the humidity control device is Q;

[0021] According to the following calculation formula, the working parameter of the humidity control equipment is calculated as Q:

[0022] ;

[0023] ;

[0024] ;

[0025] ;

[0026] Among them, Tave is the average temperature of several points in the room; Χ and δ are weight coefficients, and Χ+δ=1; KH is the proportional coefficient of humidity adjustment.

[0027] Preferably, the data processing layer is configured to adjust the control parameters of the indoor environment according to the preset target parameters and the real-time data when the judgment result is to adjust the control parameters of the indoor environment, including:

[0028] Among the control parameters, the light adjustment includes yellow light and white light, and the data processing layer achieves indoor light stability by adjusting the ratio of yellow light to white light;

[0029] The current light intensity and target light intensity are measured by the light sensor and are recorded as Lcur and Ltar respectively; the target ratios of yellow light and white light are α and β respectively, where α+β=1; the brightness parameters of yellow light and white light are recorded as By and Bw respectively;

[0030] According to the following calculation formula, calculate the brightness parameters By and Bw of yellow light and white light:

[0031] ;

[0032] ;

[0033] ;

[0034] Among them, Ky and Kw are the proportional coefficients of yellow light and white light respectively, Ky reflects the adjustment speed, and Kw reflects the sensitivity; θ and K are the target ratios of yellow light and white light respectively, and θ+K=1.

[0035] Preferably, the Internet smart home control system for regulating indoor environment further includes a user interaction module;

[0036] The user interaction module is used for the user to access the indoor environment control system through the Internet and adjust the preset target parameters;

[0037] The user interaction module is provided with a security verification mechanism; wherein the security verification mechanism includes user identity authentication, access authority management, access time restriction, operation log recording and data encryption transmission.

[0038] Preferably, the user identity verification includes user account-password verification and biometric identification;

[0039] The access permission management includes role permission setting, and setting operation permissions according to user roles; the user roles include system administrator, family member and visitor;

[0040] The access time limit is used to set the restriction conditions for allowing or prohibiting users from accessing the system;

[0041] The operation log record is used to record the user's login, operation and logout time;

[0042] The data encryption transmission encrypts the communication data between the user and the system through the secure socket layer.

[0043] Preferably, the data processing layer adopts a distributed storage architecture to disperse and store real-time data, historical environmental data and control parameters on several physical nodes; at the same time, the data processing layer is configured with data cleaning and preprocessing functions for automatically identifying and eliminating abnormal data.

[0044] Preferably, the parameter adjustment layer generates user environment preferences according to the stored real-time data, historical environment data and control parameters, including:

[0045] The parameter adjustment layer is configured to analyze and obtain the user's daily habits and environmental preferences based on the user's adjustment behavior of the preset target parameters in different time periods and the user operation log recorded by the user interaction module;

[0046] The parameter adjustment layer is also configured to predict the environmental change trend within a unit time in the future by analyzing historical data, and adjust the preset target parameters.

[0047] The present invention also proposes a smart home control method for regulating an indoor environment, which is implemented by the above-mentioned Internet smart home control system for regulating an indoor environment, and includes:

[0048] Collecting real-time data of the indoor environment through intelligent sensors, including real-time temperature, real-time humidity and real-time light;

[0049] Transmit the collected real-time data to the device control layer;

[0050] Store real-time data, preset target parameters, control parameters and historical environmental data in the data processing layer;

[0051] The equipment control layer receives real-time data and determines whether the control parameters of the indoor environment need to be adjusted;

[0052] When it is determined that the control parameters of the indoor environment need to be adjusted, the data processing layer adjusts the control parameters of the indoor environment according to the preset target parameters and real-time data. The preset target parameters include target temperature, target humidity and target light; the control parameters include temperature control parameters, humidity control parameters and light control parameters;

[0053] Send the adjusted control parameters to the corresponding environmental control equipment to adjust the indoor environment;

[0054] The parameter adjustment layer generates user environment preferences based on the stored real-time data, historical environment data and control parameters; and adjusts the target parameters based on the generated user environment preferences.

[0055] Compared with the prior art, the present invention has the following beneficial effects:

[0056] The Internet smart home control system and method for regulating the indoor environment proposed in the present invention not only realizes the precise regulation of the indoor environment, but also improves the user experience and system intelligence level through multiple innovative functions such as user interaction module and parameter adjustment layer. Specifically, the present invention has the following significant advantages:

[0057] First, the present invention collects various data of the indoor environment in real time through intelligent devices such as humidity sensors and light sensors, and realizes all-round monitoring and regulation of the indoor environment through core components such as the device control layer and the data processing layer. This regulation method based on real-time data is more accurate and efficient than traditional manual regulation or timed regulation, and can meet the user's personalized needs for a comfortable indoor environment.

[0058] Secondly, the present invention introduces a user interaction module, which enables users to remotely access the indoor environment control system through the Internet and adjust the preset target parameters. At the same time, the user interaction module also sets a security verification mechanism, including user identity authentication, access permission management, access time limit, operation log recording and data encryption transmission, which effectively guarantees the security of the system and user privacy.

[0059] In addition, the present invention is also equipped with a parameter adjustment layer, which can analyze and obtain the user's daily habits and environmental preferences based on the user's adjustment behavior of the preset target parameters in daily use and the user's operation log. At the same time, the module can also predict the environmental change trend in the future unit time by analyzing historical data, and automatically adjust the preset target parameters, thereby realizing intelligent adjustment of the indoor environment.

[0060] Finally, the present invention adopts a distributed storage architecture and data cleaning and preprocessing functions to effectively improve the efficiency and accuracy of data storage and processing. At the same time, the system is also scalable and customizable, and can be flexibly configured and upgraded according to the needs and scenarios of different users.

[0061] In summary, the Internet smart home control system and method for regulating indoor environment proposed in the present invention not only has the ability to accurately and efficiently regulate indoor environment, but also realizes intelligent management and personalized services of indoor environment through multiple innovative functions such as user interaction and adaptive learning. This will bring users a more comfortable, convenient and safe living experience, and promote the continuous development and progress of indoor environment control technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0063] Figure 1 This is a functional structure diagram of the Internet smart home control system used to regulate the indoor environment. DETAILED DESCRIPTION

[0064] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0065] See also Figure 1 This embodiment provides an Internet smart home control system for regulating indoor environment, including:

[0066] The data collection layer is used to collect real-time data of the indoor environment through intelligent sensors, and the real-time data includes real-time temperature, real-time humidity and real-time light;

[0067] The data processing layer is configured to determine whether to adjust the control parameters of the indoor environment according to the real-time data, and store the real-time data, the preset target parameters, and the control parameters; at the same time, when the judgment result is to adjust the control parameters of the indoor environment, the data processing layer is configured to adjust the control parameters of the indoor environment according to the preset target parameters and the real-time data; wherein the preset target parameters include target temperature, target humidity, and target illumination; and the control parameters include temperature control parameters, humidity control parameters, and illumination control parameters;

[0068] The parameter adjustment layer stores historical environmental data and generates user environmental preferences in combination with the real-time data stored in the data processing layer; at the same time, the target adjustment parameters are determined according to the user environmental preferences;

[0069] The device control layer is used to connect to the user's handheld terminal. The device control layer receives the indoor environment monitoring data, analysis results and target adjustment parameters from the data processing layer and the parameter adjustment layer, and displays the indoor environment monitoring data, analysis results and target adjustment parameters on the user's handheld terminal. At the same time, according to the target adjustment parameters, the device control layer controls the indoor equipment to adjust the indoor environment.

[0070] It is understandable that this embodiment proposes an advanced smart home control system, which aims to effectively regulate and optimize the indoor environment to improve the comfort and convenience of residents. The system mainly includes the following key levels:

[0071] First, the data collection layer plays a vital role. It uses a series of intelligent sensors to monitor and collect various key data of the indoor environment in real time. These data cover multiple aspects such as temperature, humidity and light, ensuring a comprehensive understanding of the indoor environment. Through these sensors, the system can obtain accurate real-time temperature, real-time humidity and real-time light data, providing a solid foundation for subsequent data processing and analysis.

[0072] Next, the data processing layer is one of the core parts of the system. It is responsible for receiving real-time data from the data acquisition layer and judging whether the control parameters of the indoor environment need to be adjusted based on the data. To achieve this goal, the data processing layer has a built-in storage module to save real-time data, preset target parameters, and current control parameters. These preset target parameters include target temperature, target humidity, and target light, while the control parameters include temperature control parameters, humidity control parameters, and light control parameters. When the data processing layer determines that the indoor environment needs to be adjusted, it will intelligently adjust the control parameters based on the preset target parameters and real-time data to achieve the purpose of optimizing the indoor environment.

[0073] The parameter adjustment layer further enhances the intelligence of the system. It not only stores historical environmental data, but also generates personalized environmental preferences for users in combination with real-time data provided by the data processing layer. By analyzing this data, the parameter adjustment layer can determine the best target adjustment parameters to meet the user's specific needs and preferences. The addition of this layer enables the system to more accurately adapt to the unique needs of different users, thereby providing more personalized services.

[0074] Finally, the device control layer is the direct interface between the system and the user. It realizes the two-way transmission of data and control parameters by connecting to the user's handheld terminal device. The device control layer is responsible for displaying the indoor environment monitoring data, analysis results and target adjustment parameters on the user's handheld terminal, so that the user can understand the indoor environment conditions in real time and make corresponding adjustments based on this information. More importantly, the device control layer accurately controls various indoor devices according to the target adjustment parameters, thereby achieving effective adjustment of the indoor environment. Whether it is adjusting the air conditioning temperature, humidifier humidity, or adjusting the indoor lighting brightness, the device control layer can automatically execute the corresponding control parameters according to the user's settings and the system's analysis results to ensure that the indoor environment is always kept in the best state.

[0075] In summary, the smart home control system of this embodiment realizes comprehensive monitoring and intelligent regulation of the indoor environment through multi-level data collection, processing, parameter adjustment and equipment control, creating a comfortable, healthy and energy-saving living environment for users.

[0076] In some embodiments of the present application, the data processing layer is configured to determine whether to adjust the control parameters of the indoor environment according to the real-time data, including:

[0077] After receiving the real-time data, the data processing layer pre-processes the received real-time data to remove abnormal data and noise;

[0078] Compare the preprocessed data with the preset environmental parameter range;

[0079] When the preprocessed data is lower than the lowest temperature threshold in the preset environmental parameter range or higher than the highest temperature threshold in the preset environmental parameter range, it is determined that the control parameters of the indoor environment need to be adjusted.

[0080] It is understandable that the functions of the data processing layer of this embodiment are further refined and expanded. The core responsibility of this module is to carefully analyze and evaluate the data collected in real time to determine whether it is necessary to adjust the control parameters of the indoor environment. This process involves multiple steps. First, the data processing layer will perform preprocessing operations on the received real-time data. This step is crucial because it involves strict control of data quality. Preprocessing includes but is not limited to data cleaning, that is, eliminating abnormal data and noise that may be generated due to various reasons to ensure the accuracy and effectiveness of subsequent analysis.

[0081] Next, the carefully screened and cleaned data will be imported into a comparison stage, in which the data will be carefully compared with the pre-set environmental parameter range. This is a critical step because it is directly related to whether the indoor environment needs to adjust the control parameters. During the comparison process, the system will closely monitor whether the various environmental parameters exceed the set safety range. Specifically, the system will check whether the pre-processed data has reached the lowest temperature threshold in the preset environmental parameter range, or whether it has exceeded the highest temperature threshold in the preset environmental parameter range.

[0082] Once it detects that these data points exceed the established threshold range, the system will respond immediately and determine that the control parameters of the indoor environment need to be adjusted to ensure that the indoor environment can be maintained at a comfortable and healthy level. Such real-time monitoring and automatic adjustment capabilities greatly improve the efficiency and quality of indoor environment control and ensure that users can enjoy a stable and pleasant indoor environment.

[0083] In some embodiments of the present application, the data processing layer is configured to adjust the control parameters of the indoor environment according to the preset target parameters and the real-time data when the judgment result is to adjust the control parameters of the indoor environment, including:

[0084] The indoor environment control system includes n temperature sensors, and the temperatures measured are T1, T2, ..., Tn respectively; the data acquisition layer obtains the external temperature through the Internet, which is recorded as Tou; the target temperature is recorded as Ttar; the working parameter of the temperature control device is recorded as P; the working parameter P of the temperature control device is calculated according to the following calculation formula:

[0085] ;

[0086] ;

[0087] Among them, Tave is the average temperature of several points in the room; α and β are weight coefficients, and α+β=1; Kt is the proportional coefficient of temperature adjustment.

[0088] It is understandable that in this embodiment, in addition to considering the temperature factor, the data processing layer also adds the function of humidity control. Specifically, in addition to n temperature sensors, the indoor environment control system also adds m humidity sensors, and the humidity measured is H1, H2, ..., Hm. Similarly, the data acquisition layer will also obtain the external humidity through the Internet, which is recorded as Hou. The target humidity is recorded as Htar, and the working parameters of the humidity control device are recorded as Q.

[0089] When the judgment result is that the temperature and humidity of the indoor environment need to be adjusted at the same time, the data processing layer will perform joint calculation and adjustment based on the preset target temperature Ttar, target humidity Htar, real-time temperature data T1, T2,…, Tn, real-time humidity data H1, H2,…, Hm, external temperature Tou and external humidity Hou, as well as the working parameters P and Q of the temperature control device and the humidity control device.

[0090] At this time, the calculation formula for calculating the working parameter P of the temperature control device and the working parameter Q of the humidity control device will be more complicated, but the core idea is still to determine the working parameters of the control device through a certain algorithm based on the difference between the weighted average temperature and humidity and the external environment, as well as the preset target temperature and humidity. This can ensure that the indoor environment can maintain a certain balance with the external environment while maintaining comfort, reducing unnecessary energy consumption.

[0091] In addition, this embodiment also introduces an adaptive learning mechanism. As time goes by, the data processing layer will continuously collect and analyze indoor and outdoor environmental data and user usage habits, and automatically adjust weight coefficients and proportional coefficients such as α, β, and Kt, making the control of the indoor environment more intelligent and precise. This adaptive learning mechanism can greatly improve the performance and user experience of the indoor environment control system.

[0092] In some embodiments of the present application, the data processing layer is configured to adjust the control parameters of the indoor environment according to the preset target parameters and the real-time data when the judgment result is to adjust the control parameters of the indoor environment, including:

[0093] The indoor environment control system includes n humidity sensors, and the humidity measured is H1, H2, ..., Hn respectively; the data acquisition layer obtains the external humidity through the Internet, which is recorded as Hout; the target humidity is recorded as Htar; the working parameter of the humidity control device is Q;

[0094] According to the following calculation formula, the working parameter of the humidity control equipment is calculated as Q:

[0095] ;

[0096] ;

[0097] ;

[0098] ;

[0099] Among them, Tave is the average temperature of several points in the room; Χ and δ are weight coefficients, and Χ+δ=1; KH is the proportional coefficient of humidity adjustment.

[0100] It can be seen that the data processing layer mentioned in this embodiment is designed to adjust the control parameters of the indoor environment according to the preset target parameters and real-time data when the judgment result is to adjust the control parameters of the indoor environment. Specifically, it includes the following contents:

[0101] The indoor environment control system is composed of n humidity sensors, and the humidity values ​​measured are H1, H2,…, Hn; the data acquisition layer obtains the external humidity through the Internet, which is recorded as Hout; the target humidity is recorded as Htar; the working parameter of the humidity control device is Q. According to the calculation formula, the working parameter Q of the humidity control device is calculated, where Tave represents the average temperature of several points in the room; Χ and δ are weight coefficients, and Χ+δ=1; KH represents the proportional coefficient of humidity regulation.

[0102] Based on the above, the data processing layer of the present application can calculate the working parameters of the humidity control equipment according to the real-time data and the preset target parameters, thereby realizing the precise control of the indoor environment humidity and improving the comfort of the indoor environment.

[0103] It can be understood that this embodiment can more accurately adjust the working parameter Q of the humidity control device by comprehensively considering the real-time data of multiple humidity sensors in the room and the information of external humidity, combined with the average temperature in the room, so as to achieve accurate control of indoor humidity. This comprehensive analysis based on multi-point data fusion and external environmental factors makes the indoor environment control system more intelligent and efficient when adjusting humidity.

[0104] In some embodiments of the present application, the data processing layer is configured to adjust the control parameters of the indoor environment according to the preset target parameters and the real-time data when the judgment result is to adjust the control parameters of the indoor environment, including:

[0105] Among the control parameters, the light adjustment includes yellow light and white light, and the data processing layer achieves indoor light stability by adjusting the ratio of yellow light to white light;

[0106] The current light intensity and target light intensity are measured by the light sensor and are recorded as Lcur and Ltar respectively; the target ratios of yellow light and white light are α and β respectively, where α+β=1; the brightness parameters of yellow light and white light are recorded as By and Bw respectively;

[0107] According to the following calculation formula, calculate the brightness parameters By and Bw of yellow light and white light:

[0108] ;

[0109] ;

[0110] ;

[0111] Among them, Ky and Kw are the proportional coefficients of yellow light and white light respectively, Ky reflects the adjustment speed, and Kw reflects the sensitivity; θ and K are the target ratios of yellow light and white light respectively, and θ+K=1.

[0112] It is understandable that the data processing layer involved in this embodiment is designed to adjust the control parameters of the indoor environment according to the preset target parameters and real-time data when the result of its judgment is to adjust the control parameters of the indoor environment. Specifically, it includes the following contents:

[0113] In terms of control parameters, the function of light regulation includes adjusting the brightness of yellow light and white light. The data processing layer ensures the stability of indoor lighting by changing the ratio of yellow light to white light. To achieve this goal, the module uses a light sensor to measure the current light intensity and the desired target light intensity, represented by Lcur and Ltar respectively. The target ratios of yellow light and white light are marked as α and β, respectively, and satisfy the condition of α+β=1. The brightness parameters of yellow light and white light are represented by By and Bw, respectively. The data processing layer will calculate the light intensity according to a specific formula, in which Ky and Kw represent the proportional coefficients of yellow light and white light, respectively, where Ky mainly reflects the adjustment speed, and Kw mainly reflects the sensitivity. In addition, θ and Κ represent the target ratios of yellow light and white light, respectively, and their sum also needs to satisfy the condition of θ+Κ=1.

[0114] Through such a design, the data processing layer can dynamically adjust the ratio of yellow light and white light according to real-time data and preset target parameters, thereby achieving stable control of indoor lighting and creating a comfortable and suitable indoor environment.

[0115] In some embodiments of the present application, the Internet smart home control system for regulating indoor environment further includes a user interaction module;

[0116] The user interaction module is used for the user to control the system and adjust the preset target parameters;

[0117] The user interaction module is provided with a security verification mechanism; wherein the security verification mechanism includes user identity authentication, access authority management, access time restriction, operation log recording and data encryption transmission.

[0118] The design of the Internet smart home control system for regulating the indoor environment is not limited to the simple combination of hardware and software, but also incorporates advanced human-computer interaction concepts. Specifically, this embodiment includes a dedicated user interaction module, the main function of which is to enable users to connect to the indoor environment control system through the Internet, thereby achieving real-time monitoring of the system operation and flexible adjustment of preset target parameters. This interactive method greatly improves the user's convenience, allowing them to easily control the indoor environment through the network at any time and any place.

[0119] It is worth noting that the user interaction module is also designed with a thorough security verification mechanism to ensure the safe and stable operation of the system. This security verification mechanism includes multiple levels of safeguards: First, it ensures that only authorized users can access the system through user identity verification, preventing unauthorized users from illegally operating the system; secondly, the access permission management mechanism ensures that users of different levels have different operating permissions, further ensuring the security of the system; thirdly, the setting of access time limit allows users to access the system only within the specified time, effectively reducing the risk of malicious attacks on the system; in addition, the operation log recording function can record the user's operation behavior in detail, and once a security problem occurs, it can quickly track down the responsible party; finally, data encryption transmission ensures the security of user data during transmission, preventing the risk of data being intercepted and leaked.

[0120] In summary, by adding user interaction modules and security verification mechanisms to the Internet smart home control system used to regulate the indoor environment, we have not only improved the user experience, but also greatly enhanced the security and reliability of the system, creating a more intelligent, safe and comfortable indoor environment for users.

[0121] In some embodiments of the present application, the user identity verification includes user account-password verification and biometric identification;

[0122] The access permission management includes role permission setting, and setting operation permissions according to user roles; the user roles include system administrator, family member and visitor;

[0123] The access time limit is used to set the restriction conditions for allowing or prohibiting users from accessing the system;

[0124] The operation log record is used to record the user's login, operation and logout time;

[0125] The data encryption transmission encrypts the communication data between the user and the system through the secure socket layer.

[0126] It is understandable that this embodiment provides a variety of user identity authentication methods, including user account with password verification and biometric recognition. This dual verification method greatly improves system security and effectively prevents unauthorized access. At the same time, we have introduced an access rights management mechanism, which includes the setting of role permissions, and can customize the operation permissions of users according to their roles. These user roles include but are not limited to system administrators, family members, and visitors, and each role has its specific permissions and responsibilities.

[0127] In addition, this embodiment also involves the setting of access time limit, which allows the system administrator to limit the time when users can access the system to ensure the security and stability of the system during a specific period of time. For example, users can be prohibited from accessing during system maintenance time, or lower access rights can be set at night.

[0128] Operation log records are also an important part of this application. They can record the user's login time, operation behavior, and logout time in detail, providing an important basis for system usage monitoring and problem troubleshooting. These log records will play a key role when a security incident occurs in the system or when user behavior needs to be analyzed.

[0129] Finally, in order to ensure the security of user data, this application uses data encryption transmission technology. The communication data between the user and the system is encrypted through the Secure Sockets Layer (SSL), which can effectively prevent data from being stolen or tampered with during both data transmission and storage, thereby ensuring the security of user information.

[0130] In some embodiments of the present application, the data processing layer adopts a distributed storage architecture to store real-time data, historical environmental data and control parameters in a dispersed manner on several physical nodes; at the same time, the data processing layer is configured with data cleaning and preprocessing functions for automatically identifying and eliminating abnormal data.

[0131] It is understandable that the data processing layer involved in this embodiment adopts a distributed storage architecture. The main feature of this architecture is that real-time data, historical environmental data and control parameters are stored in multiple physical nodes in a dispersed manner. The advantage of this is that it can effectively improve the data processing efficiency and enhance the reliability of the system. In addition, the data processing layer also has the function of data cleaning and preprocessing. The main function of this function is to automatically identify and remove abnormal data, thereby ensuring the accuracy and effectiveness of the data. In this way, not only the quality of the data is improved, but also the subsequent data analysis work is more accurate and reliable.

[0132] In some embodiments of the present application, the parameter adjustment layer generates user environment preferences based on the stored historical environment data and in combination with the stored real-time data and control parameters stored by the data processing layer, including:

[0133] The parameter adjustment layer is configured to analyze and obtain the user's daily habits and environmental preferences based on the user's adjustment behavior of the preset target parameters in different time periods and the user operation log recorded by the user interaction module;

[0134] The parameter adjustment layer is also configured to predict the environmental change trend within a unit time in the future by analyzing historical data, and adjust the preset target parameters.

[0135] It is understandable that the functions and roles of the parameter adjustment layer involved in this embodiment have been further refined and expanded. The main responsibility of the parameter adjustment layer is to generate the user's personalized environmental preferences based on the real-time data, historical environmental data and control parameters stored in the data processing layer. This process mainly includes the following aspects:

[0136] First, the parameter adjustment layer is specially designed to analyze the user's adjustment behavior for the preset target parameters in different time periods. This analysis process not only involves the user's specific operation behavior, but also includes the user operation log recorded by the user interaction module. By deeply analyzing and processing this data, the parameter adjustment layer can effectively identify the user's daily habits and specific preferences for the environment.

[0137] Secondly, the parameter adjustment layer also has another important function, that is, by deeply analyzing historical data, the module can predict the environmental change trend in the future unit time. This prediction function is realized based on the in-depth mining of historical data and intelligent algorithms. After predicting the environmental change trend, the parameter adjustment layer will adjust the preset target parameters accordingly based on these prediction results to ensure that users can get a more adaptive and comfortable environmental experience.

[0138] In general, through the above embodiments, we can see that the parameter adjustment layer plays a core role in the generation and adjustment of user environmental preferences. It can not only identify the user's habits and preferences based on the user's behavior data, but also actively adjust the parameters by predicting the trend of environmental changes to achieve more intelligent and personalized environmental services.

[0139] The present invention also proposes a method for controlling an indoor environment using an Internet smart home control system, which is implemented by the above-mentioned method for controlling an indoor environment using an Internet smart home control system, including:

[0140] Collecting real-time data of the indoor environment through intelligent sensors, including real-time temperature, real-time humidity and real-time light;

[0141] Transmit the collected real-time data to the device control layer;

[0142] The real-time data, preset target parameters and control parameter historical environment data are stored in the data processing layer;

[0143] The equipment control layer receives real-time data and determines whether the control parameters of the indoor environment need to be adjusted;

[0144] When it is determined that the control parameters of the indoor environment need to be adjusted, the data processing layer adjusts the control parameters of the indoor environment according to preset target parameters and real-time data; the preset target parameters include target temperature, target humidity and target light; the control parameters include temperature control parameters, humidity control parameters and light control parameters;

[0145] Send the adjusted control parameters to the corresponding environmental control equipment to adjust the indoor environment;

[0146] The parameter adjustment layer generates user environment preferences based on the stored real-time data, historical environment data and control parameters; and adjusts the target parameters based on the generated user environment preferences.

[0147] It can be understood that the beneficial effects of this embodiment are mainly reflected in the following aspects:

[0148] 1. Real-time: Intelligent sensors collect indoor temperature, humidity and light data in real time, ensuring the accuracy and immediacy of environmental data. This enables the indoor environmental control system to respond quickly to environmental changes and provide users with a more comfortable living environment.

[0149] 2. Intelligence: The device control layer can intelligently determine whether the control parameters need to be adjusted based on real-time data and preset target parameters, and realize automatic adjustment of the indoor environment. This intelligent operation greatly reduces the user's operating burden and improves the convenience of life.

[0150] 3. Data storage and analysis: The data processing layer not only stores real-time data, preset target parameters, and control parameters, but also analyzes these data to provide data support for the parameter adjustment layer. Through data analysis, the system can more accurately understand the user's environmental preferences and provide a strong basis for subsequent adjustments.

[0151] 4. Adaptive learning capability: The parameter adjustment layer generates user environment preferences based on real-time data, historical environment data, and control parameters, and adjusts target parameters based on these preferences. This adaptive learning capability enables the system to automatically adjust as user habits change, providing a more personalized indoor environment control experience.

[0152] 5. Energy saving and emission reduction: By intelligently adjusting the temperature, humidity and light of the indoor environment, the system can reduce unnecessary energy consumption while ensuring user comfort, thus achieving the goal of energy saving and emission reduction. This is of great significance in the current social context of advocating green and low-carbon life.

[0153] In summary, the Internet-based indoor environment control method provides users with a more comfortable, convenient and energy-saving indoor environment control experience by combining functions such as real-time data collection, intelligent judgment, data storage and analysis, and adaptive learning.

[0154] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0155] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0156] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0157] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1The steps for the functions specified in one or more boxes.

[0158] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An Internet smart home control system for regulating indoor environment, characterized in that: include: The data collection layer is used to collect real-time data of the indoor environment through intelligent sensors, and the real-time data includes real-time temperature, real-time humidity and real-time light; The data processing layer is configured to determine whether to adjust the control parameters of the indoor environment according to the real-time data, and store the real-time data, the preset target parameters, and the control parameters; at the same time, when the judgment result is to adjust the control parameters of the indoor environment, the data processing layer is configured to adjust the control parameters of the indoor environment according to the preset target parameters and the real-time data; wherein the preset target parameters include target temperature, target humidity, and target illumination; and the control parameters include temperature control parameters, humidity control parameters, and illumination control parameters; The parameter adjustment layer stores historical environmental data and generates user environmental preferences in combination with the real-time data stored in the data processing layer; at the same time, the target adjustment parameters are determined according to the user environmental preferences; The device control layer is used to connect to the user's handheld terminal. The device control layer receives the indoor environment monitoring data, analysis results and target adjustment parameters from the data processing layer and the parameter adjustment layer, and displays the indoor environment monitoring data, analysis results and target adjustment parameters on the user's handheld terminal. At the same time, according to the target adjustment parameters, the device control layer controls the indoor devices to adjust the indoor environment; The data processing layer is configured to adjust the control parameters of the indoor environment according to the preset target parameters and the real-time data when the judgment result is to adjust the control parameters of the indoor environment, including: The indoor environment control system includes n humidity sensors, and the humidity measured is H1, H2, ..., Hn respectively; the data acquisition layer obtains the external humidity through the Internet, which is recorded as Hout; the target humidity is recorded as Htar; the working parameter of the humidity control device is Q; According to the following calculation formula, the working parameter of the humidity control equipment is calculated as Q: ； ； ； ； Where Have is the average humidity at several points in the room; Χ and δ are weight coefficients, and Χ+δ=1; K H is the proportional coefficient of humidity adjustment; The data processing layer is configured to adjust the control parameters of the indoor environment according to the preset target parameters and the real-time data when the judgment result is to adjust the control parameters of the indoor environment, including: The indoor environment control system includes n temperature sensors, and the temperatures measured are T1, T2, ..., Tn respectively; the data acquisition layer obtains the external temperature through the Internet, which is recorded as Tout; the target temperature is recorded as Ttar; the working parameter of the temperature control device is recorded as P; the working parameter P of the temperature control device is calculated according to the following calculation formula: ； ； Where Tave is the average temperature of several points in the room; α and β are weight coefficients, and α+β=1; Kt is the proportional coefficient of temperature adjustment; The data processing layer is configured to adjust the control parameters of the indoor environment according to the preset target parameters and the real-time data when the judgment result is to adjust the control parameters of the indoor environment, including: Among the control parameters, the light adjustment includes yellow light and white light, and the data processing layer achieves indoor light stability by adjusting the ratio of yellow light to white light; The current light intensity and target light intensity are measured by the light sensor, which are recorded as Lcur and Ltar respectively; the target ratios of yellow light and white light are Ky and Kw respectively, where Ky+Kw=1; the brightness parameters of yellow light and white light are recorded as By and Bw respectively; According to the following calculation formula, calculate the brightness parameters By and Bw of yellow light and white light: ； ； ； Among them, Ky and Kw are the proportional coefficients of yellow light and white light respectively, Ky reflects the adjustment speed, and Kw reflects the sensitivity; θ and K are the target ratios of yellow light and white light respectively, and θ+K=1.

2. The Internet smart home control system for regulating indoor environment according to claim 1 is characterized in that: The data processing layer is configured to determine whether to adjust the control parameters of the indoor environment according to the real-time data, including: After receiving the real-time data, the data processing layer pre-processes the received real-time data to remove abnormal data and noise; Compare the preprocessed data with the preset environmental parameter range; When the preprocessed data is lower than the lowest temperature threshold in the preset environmental parameter range or higher than the highest temperature threshold in the preset environmental parameter range, it is determined that the control parameters of the indoor environment need to be adjusted.

3. The Internet smart home control system for regulating indoor environment according to claim 1 is characterized in that: The Internet smart home control system for regulating the indoor environment also includes a user interaction module; The user interaction module is used for the user to access the indoor environment control system through the Internet and adjust the preset target parameters; The user interaction module is provided with a security verification mechanism; wherein the security verification mechanism includes user identity authentication, access authority management, access time restriction, operation log recording and data encryption transmission.

4. The Internet smart home control system for regulating indoor environment according to claim 3 is characterized in that: The user identity verification includes user account-password verification and biometric identification; The access permission management includes role permission setting, and setting operation permissions according to user roles; the user roles include system administrator, family member and visitor; The access time limit is used to set the restriction conditions for allowing or prohibiting users from accessing the system; The operation log record is used to record the user's login, operation and logout time; The data encryption transmission encrypts the communication data between the user and the system through the secure socket layer.

5. The Internet smart home control system for regulating indoor environment according to claim 1 is characterized in that: The data processing layer adopts a distributed storage architecture to disperse and store real-time data and control parameters on several physical nodes; at the same time, the data processing layer is configured with data cleaning and preprocessing functions for automatically identifying and eliminating abnormal data.

6. The Internet smart home control system for regulating indoor environment according to claim 5 is characterized in that: The parameter adjustment layer generates user environment preferences according to the stored real-time data, historical environment data and control parameters, including: The parameter adjustment layer is configured to analyze and obtain the user's daily habits and environmental preferences based on the user's adjustment behavior of the preset target parameters in different time periods and the user operation log recorded by the user interaction module; The parameter adjustment layer is also configured to predict the environmental change trend within a unit time in the future by analyzing historical data, and adjust the preset target parameters.

7. A smart home control method for regulating indoor environment, implemented by the Internet smart home control system for regulating indoor environment according to any one of claims 1 to 6, characterized in that: include: Collecting real-time data of the indoor environment through intelligent sensors, including real-time temperature, real-time humidity and real-time light; Transmit the collected real-time data to the device control layer; The real-time data, preset target parameters and control parameter historical environment data are stored in the data processing layer; The equipment control layer receives real-time data and determines whether the control parameters of the indoor environment need to be adjusted; When it is determined that the control parameters of the indoor environment need to be adjusted, the data processing layer adjusts the control parameters of the indoor environment according to preset target parameters and real-time data; the preset target parameters include target temperature, target humidity and target light; the control parameters include temperature control parameters, humidity control parameters and light control parameters; Send the adjusted control parameters to the corresponding environmental control equipment to adjust the indoor environment; The parameter adjustment layer generates user environment preferences based on the stored real-time data, historical environment data and control parameters; and adjusts the target parameters based on the generated user environment preferences.

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