AI security home cloud system

Abstract

The invention discloses an AI safety home cloud system which is characterized in that a flame sensor, a smoke sensor, a gas sensor, a temperature and humidity sensor, a PM2.5 sensor, a wind and rain sensor, a WIFI module, a cloud server, mobile application software, a power switch, a gas switch and a cadmium telluride power generation and storage battery device are integrated into the system, and the AI system is used for integrating data of the sensors. The method comprises the following steps: analyzing internal and external environment parameters of a building, acquiring and analyzing local weather trend, generating an automatic window opening or closing instruction in combination with real-time monitoring data, sending an alarm to a window opener control device and a mobile terminal when fire alarm, smoke or harmful gas leakage is detected, and executing preset safety measures at the same time. And transmitting the real-time data to a cloud server through the WIFI module. Therefore, when dangers such as fire, smoke and high pollutant concentration are detected, the AI system can immediately give an alarm through the local terminal and the mobile terminal, and protection measures such as smoke exhaust, power failure and gas cut-off are automatically executed.

Description

Technical Field

[0001] The present invention relates to the field of safe home technology, and in particular to an AI safe home cloud system. Background Art

[0002] With the rapid development of smart home technology, people have increasingly higher requirements for the safety and comfort of their living environment, especially in terms of home air quality management and safety protection. Traditional window opener systems can only provide simple window opening and closing operations, and are unable to monitor environmental changes in real time or automatically respond to environmental hazards. Therefore, how to make window opener systems more intelligent and multifunctional to cope with complex and changing environmental conditions and provide users with a safe and comfortable living environment has become an important direction of current technological development.

[0003] In the existing technology, some home appliance systems can integrate basic sensors such as temperature, humidity, and PM2.5, but the functions of these systems are usually relatively simple, making it difficult to achieve comprehensive monitoring and dynamic adjustment of environmental conditions. At the same time, traditional systems lack the ability to automatically handle dangerous situations such as fires and gas leaks. When a fire alarm or air pollution occurs, users still need to intervene manually to solve the problem, making it difficult to ensure family safety in the first place. In addition, traditional window opener systems mostly rely on manual control and lack intelligent and automated management methods. They cannot automatically optimize the opening angle or frequency of windows according to real-time environmental conditions, affecting the indoor air circulation effect and overall comfort. Summary of the Invention

[0004] The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

[0005] To this end, the purpose of the present invention is to propose an AI safe home cloud system that can solve the problem that traditional window opener systems mostly rely on manual control, lack intelligent and automated management methods, and cannot automatically optimize the opening angle or frequency of windows according to real-time environmental conditions, affecting the indoor air circulation effect and overall comfort.

[0006] To achieve the above objectives, the present invention proposes an AI safe home cloud system, comprising the following steps:

[0007] S1. Integrate the fire sensor, smoke sensor, gas sensor, temperature and humidity sensor, PM2.5 sensor, wind and rain sensor, Wi-Fi module, cloud server, mobile application software, power switch, gas switch and cadmium telluride power generation and battery device into the system;

[0008] S2. Use AI systems to integrate data from various sensors and analyze environmental parameters inside and outside the building;

[0009] S3. Obtain and analyze local weather trends, combine them with real-time monitoring data, and generate automated window opening or closing instructions;

[0010] S4. When fire, smoke or harmful gas leakage is detected, an alarm is sent to the window opener control device and the mobile terminal, and predetermined safety measures are implemented;

[0011] S5. The real-time data is transmitted to the cloud server via the WI FI module and displayed to the user via the mobile application software.

[0012] The AI ​​safe home cloud system of the present invention has the AI ​​system as its core. By integrating data from multiple sensors such as fire, smoke, gas, temperature and humidity, PM2.5, and combining wind and rain sensors, cloud weather data and Wi-Fi modules, the AI ​​system can automatically determine the optimal window opening plan based on real-time monitoring and data analysis. The system not only provides daily ventilation and comfort management, but also has a high degree of safety response capability: when dangers such as fire, smoke, and high pollutant concentrations are detected, the AI ​​system can immediately issue an alarm through local and mobile terminals, and automatically implement protective measures such as smoke exhaust, power outages, and gas cuts.

[0013] In addition, the AI ​​safe home cloud system proposed in the present invention may also have the following additional technical features:

[0014] Specifically, the AI ​​system determines the risk of fire or gas leakage in the building based on the detection signals of the fire sensor, smoke sensor and gas sensor, and immediately takes ventilation, smoke exhaust or cuts off the main gas valve when an abnormality is detected.

[0015] Specifically, the temperature and humidity sensor and PM2.5 sensor monitor indoor temperature, humidity and air quality in real time, and use the AI ​​system to analyze and comprehensively determine whether it is necessary to open the window to improve the air quality.

[0016] Specifically, the AI ​​system can generate wind and rain forecasts based on wind and rain sensors and local weather data, and decide whether to close or adjust the position of the window opener based on the forecast results to ensure that indoor facilities are not affected by bad weather.

[0017] Specifically, when the AI ​​system detects an abnormal situation, it can automatically perform a power-off operation, cutting off specific circuit branches to ensure safety, especially when a fire or high concentration of harmful gases is detected.

[0018] Specifically, the AI ​​system can provide users with real-time environmental status information, including temperature and humidity, PM2.5 concentration, fire and smoke status, etc., through local display screens and mobile application software, and issue audible and visual alarm signals in emergency situations.

[0019] Specifically, the WI FI module is used to upload data to the cloud server, which can record and analyze historical data, provide support for the self-learning process of the AI ​​system, and provide historical environmental status reports to users through mobile application software.

[0020] Specifically, the AI ​​system has a self-learning function, which can automatically optimize the operating logic of the window opener system according to the user's daily operations, changes in indoor and outdoor environments, and weather trends, thereby improving the comfort and safety of the system.

[0021] Specifically, the system is equipped with a cadmium telluride power generation component and a battery. When the main power supply is interrupted, the system switches to the backup battery for power supply, ensuring that the system can continue to operate in an emergency.

[0022] Specifically, the mobile application software provides user-customized setting options, including danger alarm parameters, comfort parameters and ventilation frequency. Users can adjust the judgment criteria of the AI ​​system according to their personalized needs to achieve personalized home environment control.

[0023] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0025] Figure 1 This is a schematic diagram of the AI ​​safe home cloud system of the present invention;

[0026] Figure 2 This is a flow chart of the AI ​​safe home cloud system of the present invention.

[0027] As shown in the figure:

[0028] 1. Window opener body; 2. Display screen. DETAILED DESCRIPTION

[0029] The embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention and are not to be construed as limiting the present invention. On the contrary, the embodiments of the present invention include all variations, modifications, and equivalents that fall within the spirit and scope of the appended claims.

[0030] The following describes the AI ​​safe home cloud system according to an embodiment of the present invention with reference to the accompanying drawings.

[0031] like Figure 1-Figure 2 As shown, the AI ​​safe home cloud system of the embodiment of the present invention may include the following steps:

[0032] S1. Integrate the fire sensor, smoke sensor, gas sensor, temperature and humidity sensor, PM2.5 sensor, wind and rain sensor, Wi-Fi module, cloud server, mobile application software, power switch, gas switch and cadmium telluride power generation and battery device into the system;

[0033] S2. Use AI systems to integrate data from various sensors and analyze environmental parameters inside and outside the building;

[0034] S3. Obtain and analyze local weather trends, combine them with real-time monitoring data, and generate automated window opening or closing instructions;

[0035] S4. When fire, smoke or harmful gas leakage is detected, an alarm is sent to the control device of the window opener body 1 and the mobile terminal, and predetermined safety measures are implemented at the same time;

[0036] S5. The real-time data is transmitted to the cloud server via the WI FI module and displayed to the user via the mobile application software.

[0037] It should be noted that the AI ​​algorithm in the system described in this embodiment includes a risk assessment model and an optimization strategy library. Upon receiving sensor data, the model can be instantly invoked to classify and judge the data. The system obtains weather trend information from a cloud server and adjusts control instructions based on user-defined settings and historical data.

[0038] Furthermore, the AI ​​system determines the risk of fire or gas leakage in the building based on the detection signals of the fire sensor, smoke sensor and gas sensor, and immediately takes ventilation, smoke exhaust or cuts off the main gas valve after detecting an abnormality.

[0039] It should be noted that the fire, smoke, and gas sensors described in this embodiment are installed in key locations where danger may occur, such as the kitchen, living room, and ventilation system entrance, to ensure effective detection. Independent circuits are used between sensors to prevent a single sensor failure from affecting overall detection.

[0040] Furthermore, the temperature and humidity sensor and PM2.5 sensor monitor the indoor temperature, humidity and air quality in real time, and comprehensively judge whether it is necessary to open the window to improve the air quality through AI system analysis.

[0041] It should be noted that the temperature, humidity, and PM2.5 sensors described in this embodiment have dynamic sensitivity adjustment capabilities. The AI ​​system sets sensitivity thresholds at different time periods to ensure data accuracy. At night or when no one is around, the system reduces data collection frequency to extend the life of the device.

[0042] Furthermore, the AI ​​system can generate wind and rain forecasts based on wind and rain sensors and local weather data, and decide whether to close or adjust the position of the window opener body 1 according to the forecast results to ensure that indoor facilities are not affected by bad weather.

[0043] It should be noted that the wind and rain sensor described in this embodiment is designed to adapt to different climate conditions, ensuring accurate external information even in extreme weather. The AI ​​system predicts future environmental changes based on external parameters such as wind speed, rainfall, and humidity to optimize window opening strategies.

[0044] Furthermore, when the AI ​​system detects an abnormal situation, it can automatically perform a power-off operation, cutting off specific circuit branches to ensure safety, especially when a fire or high concentration of harmful gases is detected.

[0045] It should be noted that the AI ​​system described in this embodiment has a multi-level safety strategy. When slight air pollution is detected, the system takes gradual ventilation measures; when serious danger is detected, the system will directly trigger a series of protective measures and immediately alarm.

[0046] Furthermore, the AI ​​system can provide users with real-time environmental status information, including temperature and humidity, PM2.5 concentration, fire and smoke status, etc., through the local display screen 2 and mobile application software, and issue sound and light alarm signals in emergency situations.

[0047] It should be noted that the local display screen 2 described in this embodiment displays environmental information in daily state, switches to alarm mode in emergency state, and displays specific danger sources and recommended measures to help users quickly understand the situation.

[0048] Furthermore, the WI FI module is used to upload data to a cloud server, which can record and analyze historical data, provide support for the self-learning process of the AI ​​system, and provide historical environmental status reports to users through mobile application software.

[0049] It should be noted that the cloud server described in this embodiment encrypts and stores system data, and the mobile application software uses a multi-authentication mechanism to ensure the security of user data and control permissions. The storage period of historical data in the cloud can be set by the user.

[0050] Furthermore, the AI ​​system has a self-learning function, which can automatically optimize the operating logic of the window opener body 1 system according to the user's daily operations, changes in indoor and outdoor environments and weather trends, thereby improving the comfort and safety of the system.

[0051] It should be noted that the self-learning algorithm described in this embodiment is trained based on user feedback on different environmental responses and optimizes the decision tree through a positive feedback mechanism. The AI ​​system can clean data based on seasonal changes to prevent old data from misleading new strategies.

[0052] Furthermore, the system is equipped with cadmium telluride power generation components and batteries. Normally, the system generates electricity for self-use and battery storage. It can be powered by the main power supply or the backup battery. AI will intelligently allocate the detection frequency according to the peak and valley usage of each facility to ensure effective and minimum power consumption.

[0053] It should be noted that the cadmium telluride power generation assembly described in this embodiment uses solar power and can be installed in various locations, such as window units, glass surfaces, and building exteriors. Its power generation efficiency is monitored in real time by the system backend. The system switches power supply modes according to weather conditions to extend the device's service life.

[0054] Furthermore, the mobile application software provides user-defined setting options, including danger alarm parameters, comfort parameters and ventilation frequency. Users can adjust the judgment criteria of the AI ​​system according to their personalized needs to achieve personalized home environment control.

[0055] It should be noted that the user described in this embodiment can customize the alarm trigger conditions and comfort parameters in the application. The AI ​​system will dynamically adjust the monitoring standards based on these settings and minimize energy consumption while meeting the user's set requirements.

[0056] Example 1: This example aims at daily air quality management in ordinary households. The AI ​​system automatically adjusts the window opening degree to keep the indoor air quality within a comfortable range.

[0057] 1. Multi-sensor data collection: The system's PM2.5 sensors, temperature and humidity sensors, and carbon dioxide sensors collect indoor air quality parameters in real time and transmit this data to the AI ​​system. Meanwhile, wind and rain sensors provide external weather information, connected to the cloud via a Wi-Fi module, allowing the system to obtain the latest weather trends in real time.

[0058] 2. AI intelligent judgment: The AI ​​system determines whether to open windows for ventilation based on sensor data and weather trends. If PM2.5 or CO2 concentrations exceed set thresholds, the AI ​​system will select a ventilation mode based on the external air quality. If the external air quality is poor, the system will recommend turning on an air purifier instead of opening windows.

[0059] 3. Self-learning function: The system learns the user's air quality preferences and ventilation habits through historical data and fine-tunes future control strategies. For example, for users with a history of allergies, the system will tend to avoid opening windows during peak pollen seasons.

[0060] Specifically, through this embodiment, users can continuously obtain appropriate indoor air quality without disrupting their daily lives. The self-learning function of the AI ​​system is optimized according to the user's personalized needs, gradually improving the system's intelligence and responsiveness.

[0061] Example 2: Automatic response and linkage alarm in emergencies. This example mainly introduces how the AI ​​system automatically performs risk assessment and takes corresponding safety measures when an emergency such as fire, smoke or gas leak is detected in a home environment.

[0062] 1. Abnormal situation detection: When a fire sensor or smoke sensor detects an abnormal signal, the AI ​​system immediately analyzes the data to determine the severity and source of the fire or smoke. If a gas sensor detects a leak exceeding the standard concentration, it will also trigger an emergency response program.

[0063] 2. Emergency response: The AI ​​system comprehensively analyzes the risk situation and decides to implement emergency ventilation, smoke exhaust, closing the main gas valve, and disconnecting branch circuits to ensure the safety of people in the building. For example, if a gas leak is detected accompanied by a fire signal, the system will prioritize closing the gas valve and opening windows for ventilation.

[0064] 3. Alarm and remote notification: The system sends an emergency alert to the user's mobile terminal via the Wi-Fi module and simultaneously notifies the designated community and fire department via the cloud server. The system also displays the alarm information on the local display 2 and activates an audible and visual alarm.

[0065] Specifically, this embodiment can respond promptly and automatically take measures in emergency situations, effectively reducing the damage caused by fire, smoke, or gas leaks. By interacting with users and relevant departments in real time, the system's safety performance is further improved, ensuring comprehensive protection of the home environment.

[0066] Example 3: Backup Power Supply and Energy-Saving Management. This example describes how, in the event of a main power failure, the AI ​​system uses a cadmium telluride power generation device and batteries to maintain basic system functions, and combines energy-saving management strategies to reduce energy consumption in daily use.

[0067] 1. Cadmium telluride power generation device. The system's cadmium telluride power generation components can collect and convert solar energy during the day, storing it in batteries for backup power in the event of a main power outage. The AI ​​system monitors the battery charge in real time and determines the availability of solar energy conversion based on weather forecasts to allocate power appropriately.

[0068] 2. Backup power management: When the main power source fails, the AI ​​system switches to battery power while prioritizing the normal operation of safety functions such as fire, smoke, and gas detection. In non-emergency situations, the system will reduce screen brightness and reduce the frequency of data uploads to conserve power.

[0069] 3. Daily energy-saving strategies: Under normal power supply conditions, the system optimizes device operating frequency based on user habits and weather conditions. For example, in hot weather, the system will recommend users to reduce window opening and prioritize air conditioning cooling, thereby reducing unnecessary ventilation operations and lowering energy consumption.

[0070] In summary, the AI ​​safe home cloud system of the embodiment of the present invention has the AI ​​system as its core. By integrating data from multiple sensors such as fire, smoke, gas, temperature and humidity, PM2.5, and combining wind and rain sensors, cloud weather data and WI FI modules, the AI ​​system can automatically determine the optimal window opening plan based on real-time monitoring and data analysis. The system not only provides daily ventilation and comfort management, but also has a high degree of safety response capability: when dangers such as fire, smoke, and high pollutant concentrations are detected, the AI ​​system can immediately issue an alarm through local and mobile terminals, and automatically execute protective measures such as smoke exhaust, power outage, and gas cut-off.

[0071] In the description of this specification, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include at least one of such features. In the description of the present invention, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0072] In the description of this specification, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0073] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and deform the above embodiments within the scope of the present invention.

Claims

1. An AI safe home cloud system, characterized in that: The following steps are involved: S1. Integrate the fire sensor, smoke sensor, gas sensor, temperature and humidity sensor, PM2.5 sensor, wind and rain sensor, WIFI module, cloud server, mobile application software, power switch, gas switch and cadmium telluride power generation and battery device into the system; S2. Use the AI ​​system to integrate the data from various sensors and analyze the environmental parameters inside and outside the building; S3, obtain and analyze local weather trends, combine with real-time monitoring data, and generate automatic window opening or closing instructions; S4, when fire, smoke or harmful gas leakage is detected, an alarm is sent to the control device of the window opener body (1) and the mobile terminal, and predetermined safety measures are executed at the same time; S5. The real-time data is transmitted to the cloud server via the WIFI module and displayed to the user via the mobile application software.

2. The AI ​​safe home cloud system according to claim 1, characterized in that: The AI ​​system determines the risk of fire or gas leakage in the building based on the detection signals of the fire sensor, smoke sensor and gas sensor, and immediately takes ventilation, smoke exhaust or cuts off the main gas valve when an abnormality is detected.

3. The AI ​​safe home cloud system according to claim 1, characterized in that: The temperature and humidity sensor and PM2.5 sensor monitor the indoor temperature, humidity and air quality in real time, and comprehensively judge whether it is necessary to open the window to improve the air quality through AI system analysis.

4. The AI ​​safe home cloud system according to claim 1, characterized in that: The AI ​​system can generate a wind and rain forecast based on the wind and rain sensor and local weather data, and decide whether to close or adjust the position of the window opener body (1) according to the forecast result to ensure that indoor facilities are not affected by bad weather.

5. The AI ​​safe home cloud system according to claim 1, characterized in that: When an abnormal situation is detected, the AI ​​system can automatically perform a power-off operation, cutting off specific circuit branches to ensure safety, especially when a fire or high concentration of hazardous gases is detected.

6. The AI ​​safe home cloud system according to claim 1, characterized in that: The AI ​​system can provide users with real-time environmental status information, including temperature and humidity, PM2.5 concentration, fire and smoke status, etc., through a local display screen (2) and mobile application software, and send out sound and light alarm signals in emergency situations.

7. The AI ​​safe home cloud system according to claim 1, characterized in that: The WIFI module is used to upload data to the cloud server, which can record and analyze historical data, provide support for the self-learning process of the AI ​​system, and provide historical environmental status reports to users through mobile application software.

8. The AI ​​safe home cloud system according to claim 1, characterized in that: The AI ​​system has a self-learning function and can automatically optimize the operating logic of the window opener body (1) system according to the user's daily operations, changes in the indoor and outdoor environment and weather trends, thereby improving the comfort and safety of the system.

9. The AI ​​safe home cloud system according to claim 1, characterized in that: The system is equipped with cadmium telluride power generation components and batteries. When the main power supply is interrupted, the system switches to backup battery power supply to ensure that the system can continue to operate in an emergency.

10. The AI ​​safe home cloud system according to claim 1, characterized in that: The mobile application software provides user-defined setting options, including danger alarm parameters, comfort parameters and ventilation frequency. Users can adjust the judgment criteria of the AI ​​system according to their personalized needs to achieve personalized home environment control.

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