Self-adaptive livable bedroom control system

Abstract

The invention belongs to the field of household electric appliance control systems, and discloses a self-adaptive livable bedroom control system which comprises an air conditioner, an electric window, a self-adaptive air conditioner regulator, an electric window opening and closing angle controller and a linkage device. The linkage device is in signal connection with the self-adaptive air conditioner regulator and the electric window opening and closing angle controller, and the linkage device can intelligently control the self-adaptive air conditioner regulator and the electric window opening and closing angle controller according to an instruction input by a remote controller of a person or according to the current indoor and outdoor environment conditions. The optimization objective of the self-adaptive livable bedroom control system is to reduce the power consumption of an air conditioner, save energy, reduce emission and guarantee the indoor temperature comfort while keeping the air circulation, avoid the breeding and growth of viruses and bacteria in a closed room, achieve the effect of improving the indoor environment quality while improving the indoor comfort, and improve the indoor environment quality. And economic benefits and environmental benefits are combined.

Description

Technical Field

[0001] The present invention belongs to the field of home appliance control systems, and particularly relates to an adaptive livable bedroom control system. Background Art

[0002] An air conditioner, that is, an air regulator, refers to a device that uses artificial means to adjust and control parameters such as the temperature, humidity, cleanliness, and flow rate of the indoor air in buildings and structures. Most of them utilize the refrigerant to evaporate or condense under the action of a compressor, thereby causing the surrounding air to evaporate or condense to achieve the purpose of changing the temperature and humidity.

[0003] An electric window is a window that uses an electric mechanical device to control its opening and closing. It mainly consists of a motor, a transmission system (such as gears or chains), a control unit, and sensors. The characteristics of electric windows include convenient operation, remote control, energy conservation and environmental protection, improved safety, and reduced maintenance requirements. There are various types of electric windows, including sliding, casement, top-hung, and bottom-hung, etc., which are suitable for different buildings and individual needs, such as residences, offices, and commercial spaces. These windows enhance the comfort and convenience of the living or working environment through automated operation.

[0004] Every hot summer, air conditioners become people's reliance. Many families keep the air conditioner running all night to lower the indoor temperature and ensure sleep. The filter of the air conditioner can adsorb too many anions in the air, increasing the cations in the bedroom and causing a disorder in the normal ratio of anions and cations, resulting in physiological disorders in the human body. Blowing the air conditioner for a long time can also damage the respiratory tract. Moreover, air-conditioned rooms are generally relatively sealed, and the indoor air does not circulate. Viruses and bacteria will take the opportunity to multiply and grow in large numbers. If the air is not changed within 6 hours, the air will be severely polluted, and the degree of pollution may endanger health. Especially those who often enter and leave air-conditioned rooms, people with chronic diseases or low immunity, patients who have received hormonal drug treatment, and smokers are more likely to be affected by the air-conditioned environment. Blowing the air conditioner for a long time is likely to induce pharyngitis and respiratory tract infections. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide an adaptive livable bedroom control system. The present invention aims to solve the problems that existing air conditioners and electric windows are completely independent, cannot be linked and controlled, cannot be adaptively adjusted, and are prone to endanger human health.

[0006] To achieve the above purpose, the present invention provides an adaptive livable bedroom control system, including an air conditioner, an electric window, an adaptive air conditioner regulator, an electric window opening and closing angle controller, and a linkage device;

[0007] The adaptive air conditioner regulator is used to control the startup, shutdown, and temperature of the air conditioner;

[0008] The electric window opening / closing angle controller is used to control the opening, closing and opening / closing angle of the electric window;

[0009] The linkage device is signal-connected to the adaptive air conditioner regulator and the electric window opening / closing angle controller. The linkage device can intelligently control the adaptive air conditioner regulator and the electric window opening / closing angle controller according to the input instructions of the person's remote control or based on the current indoor and outdoor environmental conditions.

[0010] Furthermore, the linkage device includes a custom module, a sensor module, a learning module, a weather prediction information acquisition module, an optimization algorithm module and a control execution module;

[0011] The custom module has an instruction input function and a feedback information input function; among them, the instruction input function is used to allow the user to directly input instructions to control the linkage of the air conditioner and the electric window, and the feedback information input function is used to record the user's daily evaluation of the sleep state and comfort level;

[0012] The sensor module is used to monitor various parameters of the internal environment of the bedroom and the external environment of the bedroom in real time;

[0013] The learning module is used to learn and record the infrared codes of air conditioner remote controls of different manufacturers and different models; the learning module is communicatively connected to the adaptive air conditioner regulator and can provide the air conditioner remote control function for the control execution module;

[0014] The weather prediction information acquisition module includes a WI-FI hardware module. The weather prediction information acquisition module obtains real-time weather prediction information on the network through the WI-FI module in combination with the weather API;

[0015] The optimization algorithm module is used to comprehensively analyze the indoor and outdoor environmental parameters monitored by the sensor module, the weather prediction information obtained by the weather prediction information module and the feedback information data recorded by the custom module. After the analysis is completed, a control instruction is obtained and sent to the control execution module;

[0016] The control execution module is used to receive the control instruction sent by the optimization algorithm module to control the temperature of the air conditioner, the opening / closing time and the opening / closing angle of the electric window.

[0017] Furthermore, the parameters of the internal environment of the bedroom include the temperature, humidity and carbon dioxide content of the indoor air.

[0018] Furthermore, the parameters of the external environment of the bedroom include the temperature, humidity, wind direction, wind force and ultraviolet rays of the outdoor air.

[0019] Furthermore, in the process of comprehensive analysis by the optimization algorithm module, the following factors need to be considered: season, temperature, humidity, time, environment, wind speed and real-time weather forecast information.

[0020] Furthermore, the framework of the optimization algorithm adopted by the optimization algorithm module is as follows:

[0021] I. Define the objective function;

[0022] Low power consumption objective: Minimize the energy consumption of the air conditioner, which is quantified by calculating the energy consumption of the air conditioner within a certain period of time;

[0023]

[0024] In the formula, E is the total energy consumption of the air conditioner in the T time period; P t is the power consumption of the air conditioner at time t;

[0025] Habitable environment objective: Maximize the environmental comfort, which is quantified by environmental quality indicators;

[0026]

[0027] In the formula, C is the total score of N environmental quality indicators; Qi is the score of the i-th environmental quality indicator;

[0028] II. Set the constraints;

[0029] The constraints include weather prediction information, real-time indoor and outdoor environmental information, and user feedback information;

[0030] III. Linkage control;

[0031] Adjust the operation of the linkage device according to the objective function and the constraints;

[0032] IV. Algorithm implementation;

[0033] Use deep learning algorithms to process meteorological images and time series data to improve prediction efficiency and accuracy.

[0034] Beneficial effects:

[0035] 1. In the adaptive habitable bedroom control system of the present invention, the air conditioner and the electric window are signal-connected through a linkage device, so that the electric window can control the opening time, frequency, and opening and closing angle according to the opening time of the air conditioner and data such as the current indoor temperature, humidity, and air quality, ensuring that the indoor air is circulated while maintaining a comfortable temperature, avoiding the reproduction and growth of viruses and bacteria in the sealed room, and achieving the effect of improving the indoor comfort and indoor environmental quality at the same time.

[0036] 2. The adaptive livable bedroom control system of the present invention can learn infrared encoding through the learning module, and it can be concluded that infrared is learned with "0" and "1" in a certain fixed format. Each air conditioner manufacturer uses a CPU as a remote control chip according to its own requirements, and there are many encoding forms. Therefore, it is necessary to learn the infrared CPU through the learning module to learn and remember the infrared encoding of various types of air conditioner remote controls, and connect the air conditioner and the electric window through a linkage device. Under the action of the learning module, the linkage device can adapt to air conditioners of multiple brands, and users do not need to worry whether the device can cooperate with all air conditioners.

[0037] 3. The adaptive livable bedroom control system of the present invention freely adjusts the linkage state of the air conditioner and the electric window through the instruction input function in the custom module. For example, input an instruction to control the electric window to automatically open once or twice every two hours when the air conditioner is turned on, and at the same time, according to the environmental difference between indoors and outdoors, the linkage device independently adjusts the output of the air conditioner, which can save energy and reduce emissions while improving the air quality in the bedroom.

[0038] 4. In the adaptive livable bedroom control system of the present invention, users input the sleep state and score the comfort level through the feedback information input function. As people use it continuously, a large amount of feedback data will be recorded in the linkage device. Through comprehensive calculation of the historical feedback data, an intelligent linkage formula for the air conditioner and the electric window is obtained, so that the linkage device can make corresponding control instructions according to different seasons, different temperatures, different humidities, different times, and different environments, achieving that the linkage device can not only input instructions for control in real time, but also analyze the linkage formula based on historical data and make control instructions automatically and intelligently.

[0039] Other advantages, objectives, and features of the present invention will be described to some extent in the subsequent specification, and to some extent, based on the study of the following text, they will be obvious to those skilled in the art or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the following specification. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is the general flow chart of the adaptive livable bedroom control system of the present invention;

[0041] Figure 2 is the functional module diagram of the linkage device;

[0042] Figure 3 is the structural schematic diagram of the electric window opening and closing angle controller. DETAILED DESCRIPTION OF THE INVENTION

[0043] To make the technical solutions, advantages, and objectives of the present invention clearer, the following will clearly and completely describe the technical solutions of the embodiments of the present invention in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the described embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0044] As Figures 1 to 3 shown, the present invention provides an adaptive livable bedroom control system, including an air conditioner, an electric window, an adaptive air conditioner regulator, an electric window opening / closing angle controller, and a linkage device;

[0045] The adaptive air conditioner regulator is used to control the startup, shutdown, and temperature of the air conditioner;

[0046] The electric window opening / closing angle controller is used to control the opening, closing, and opening / closing angle of the electric window;

[0047] The linkage device is signal-connected to the adaptive air conditioner regulator and the electric window opening / closing angle controller. The linkage device can intelligently control the adaptive air conditioner regulator and the electric window opening / closing angle controller according to the instructions input by the user's remote control or based on the current indoor and outdoor environmental conditions;

[0048] The linkage device includes a custom module, a sensor module, a learning module, a weather prediction information acquisition module, an optimization algorithm module, and a control execution module;

[0049] The custom module has an instruction input function and a feedback information input function; among them, the instruction input function is used for the user to directly input instructions to control the linkage of the air conditioner and the electric window, and the feedback information input function is used to record the user's daily evaluation of the sleep state and comfort level. The feedback data to the linkage device can indirectly control the linkage of the air conditioner and the electric window;

[0050] The sensor module is used to real-time monitor various parameters of the internal environment of the bedroom and the external environment of the bedroom, providing key data for the adaptive control of the system;

[0051] The learning module is used to learn and record the infrared codes of air conditioner remote controls of different manufacturers and different models; the learning module is communicatively connected to the adaptive air conditioner regulator and can provide the air conditioner remote control function for the control execution module;

[0052] The weather prediction information acquisition module includes a WI-FI hardware module. The weather prediction information acquisition module obtains real-time weather prediction information on the network through the WI-FI module in combination with the weather API, providing a data reference for the optimization algorithm;

[0053] The optimization algorithm module is used to comprehensively analyze the indoor and outdoor environmental parameters monitored by the sensor module, the weather prediction information obtained by the weather prediction information module, and the feedback information data recorded by the custom module. These three types of data are compared and calculated, and control instructions are generated through the optimization algorithm and transmitted to the control execution module.

[0054] The control execution module is used to receive the control instructions sent by the optimization algorithm module to control the temperature of the air conditioner, the opening and closing time and angle of the electric window, so as to optimize the linkage effect and achieve the low power consumption and livable effect of the air conditioner. According to different constraint conditions, the actions of the air conditioner and the electric window are controlled in real time, and the optimization goal is to create a livable bedroom, reduce power consumption, and save energy and reduce emissions.

[0055] As a preference of this embodiment, the parameters of the indoor environment of the bedroom include data indicators such as the temperature, humidity, carbon dioxide content, and air quality of the indoor air.

[0056] As a preference of this embodiment, the parameters of the outdoor environment of the bedroom include real-time weather conditions such as the temperature, humidity, wind direction, wind force, and ultraviolet rays of the outdoor air.

[0057] As a preference of this embodiment, in the linkage device, the optimization algorithm module can obtain the intelligent linkage formula of the air conditioner and the electric window, so that the linkage device can not only input instructions in real time to control the electric window and the air conditioner respectively, but also automatically make control instructions according to the historical data analysis of the linkage formula.

[0058] The linkage device needs to comprehensively consider various factors when calculating the intelligent linkage formula, including different seasons, different temperatures, different humidities, different times, different environments, real-time indoor and outdoor environmental temperatures, humidities, wind speeds, etc. data. In addition, the real-time weather prediction information obtained by the weather prediction information acquisition module also needs to be considered. After analyzing these data, corresponding control instructions are made, and various types of data are stored and analyzed through the linkage device, so that the linkage device can make intelligent instructions.

[0059] As a preference of this embodiment, the electric window opening and closing angle controller adopts a high-performance motor and a precision transmission mechanism to ensure smooth and accurate movement and rapid response; and a feedback mechanism is set to monitor the window state in real time, compare and correct the deviation of the instructions to ensure accurate execution of the instructions and stable and reliable operation of the system.

[0060] As a preference of this embodiment, the framework of the optimization algorithm adopted by the optimization algorithm module is as follows:

[0061] I. Define the objective function;

[0062] Low power consumption goal: Minimize the energy consumption of the air conditioner, which is quantified by calculating the energy consumption of the air conditioner within a certain period of time.

[0063]

[0064] Wherein, E is the total energy consumption of the air conditioner in the T period; P t is the power consumption of the air conditioner at time t;

[0065] Livability environment goal: Maximize the environmental comfort, which is quantified by environmental quality indicators;

[0066]

[0067] Wherein, C is the total score of N environmental quality indicators; Qi is the score of the i-th environmental quality indicator.

[0068] II. Set constraint conditions;

[0069] Constraint conditions are a set of conditions that limit the solution range of an optimization problem. The constraint conditions include weather prediction information, real-time indoor and outdoor environment information, and user feedback information;

[0070] Weather prediction information: The device must adjust its operation according to real-time weather prediction information. For example, avoid increasing the opening angle of the electric window in high temperature or heavy rain weather, etc.

[0071] Real-time indoor and outdoor environment information: The device must consider the current environmental parameters, such as temperature, humidity, air quality, etc., to ensure the livability of the environment.

[0072] User feedback information: The device must consider the data information of user feedback, such as the user's evaluation of the sleep state and comfort.

[0073] III. Interlock control;

[0074] Interlock control is the output of the framework, which adjusts the operation of the interlock device according to the objective function and constraint conditions.

[0075] IV. Algorithm implementation;

[0076] Utilize deep learning algorithms, such as CNN and RNN, to process meteorological images and time series data to improve the prediction efficiency and accuracy.

[0077] The linkage state of the air conditioner and the electric window can be freely adjusted through the instruction input function in the custom module. For example, input instructions to control the air conditioner to automatically open the electric window once or twice every two hours when it is turned on. At the same time, according to the comparison of indoor and outdoor environmental air quality and temperature difference, the linkage device independently adjusts the output of the air conditioner, saving energy and reducing emissions while improving the air quality in the bedroom. Users can freely input instructions according to their own needs to control the linkage relationship between the air conditioner and the electric window. Different people have different perceptions of temperature, and the adaptive livable bedroom also varies from person to person. The reference standard temperature for the bedroom temperature is 26°C. Considering a 0.4°C rise in skin temperature, the linkage device can control the air conditioner to make fine temperature adjustments. At the same time, the linkage device also synchronously controls the electric window at night. By combining the indoor and outdoor environments, it controls the opening angle and opening time of the electric window to help people reduce the sense of wakefulness at night and help people enter a deeper stage of sleep. The linkage device memorizes the historical bedroom environment data and uses the user's evaluation the next day as a feedback link to adjust the opening and closing angle and time of the electric window and the temperature control of the air conditioner, records the information with the best user evaluation and corrects and saves it. Users input the sleep state and score the comfort level through the feedback information input module. As people use it continuously, a large amount of feedback data will be recorded in the linkage device. By comprehensively calculating the historical feedback data, an intelligent linkage formula for the air conditioner and the electric window is obtained, enabling the linkage device to make corresponding control instructions according to different seasons, different temperatures, different humidities, different times, and different environments. The linkage device can not only input instructions for real-time control but also analyze the linkage formula based on historical data and make control instructions automatically and intelligently. According to the indoor and outdoor temperatures and the opening and closing conditions of the electric window, it issues different temperature command signals or on-off commands. In automatic intelligent control, the opening angle and opening time of the electric window are affected by many factors, such as environmental factors and bedroom factors. Environmental factors refer to indoor and outdoor temperatures, humidity, current weather conditions, and expected weather conditions. Bedroom factors refer to the size of the bedroom, the size of the electric window, etc.

[0078] The air conditioning equipment collects indoor and outdoor temperature, humidity, and air quality data in real time through sensors, and dynamically coordinates the linkage operation of the air conditioner and the electric window in combination with the adaptive algorithm. When the outdoor environment is suitable, the electric window is preferentially opened for ventilation, using natural cold sources to reduce the air conditioning load; when the indoor and outdoor temperature difference exceeds the standard, the air conditioner is intelligently switched to the energy-saving mode and the air outlet parameters are adjusted. Through the dynamic coordinated control of the refrigeration equipment and the building envelope structure, the energy efficiency ratio (EER) of the refrigeration system is improved, and at the same time, the air quality with PM2.5 ≤ 35 μg / m 3 is maintained.

[0079] When calculating the intelligent linkage formula, the linkage device needs to comprehensively consider many factors, such as:

[0080] (1) When the external temperature is relatively low and the humidity is moderate, the window should be opened moderately (such as 30 degrees) to promote the inflow of fresh air indoors. In an experiment, the researchers set different window opening angles (such as 0 degrees, 15 degrees, 30 degrees) in an air-conditioned bedroom and monitored the indoor temperature changes. The results showed that when the window opening angle was 30 degrees, the indoor temperature decreased by an average of 2.5 °C, and when the external temperature was 18 °C, the indoor temperature remained at 21.5 °C, significantly improving the comfort level.

[0081] (2) When the carbon dioxide concentration reaches 800 ppm, the window opening angle can be automatically adjusted to 45 degrees to maximize the ventilation volume. In addition, the experimental results show that when the window opening angle is 20 degrees, the indoor carbon dioxide concentration decreases from 600 ppm to 400 ppm, indicating that the air quality has been significantly improved. In addition, the opening and closing time of the window is also optimized to open for 15 minutes per hour to ensure continuous air circulation.

[0082] (3) The size of the room also affects the effect of window opening and closing. For small bedrooms, it is recommended that the window opening angle should not be too large to avoid sudden temperature drops; while for large bedrooms, the opening angle can be appropriately increased to promote air circulation. For example, for a 40-square-meter bedroom, the window opening angle can be set between 20 - 40 degrees for adjustment to ensure air circulation and avoid significant temperature drops.

[0083] All kinds of data are stored and analyzed through the linkage device, enabling the linkage device to issue intelligent instructions to provide people with a comfortable living environment. Through the instruction input function, users can adjust the control independently.

[0084] Working principle: The learning module can learn the infrared by analyzing the infrared encoding in a fixed format of "0" and "1". Each air conditioner manufacturer uses the CPU as the remote control chip according to its own requirements, and there are many encoding forms. Therefore, the CPU that needs to learn the infrared through the learning module learns and memorizes the infrared encoding of various types of air conditioner remote controls. The air conditioner and the electric window are connected by signals through the linkage device, and the linkage state of the air conditioner and the electric window can be freely adjusted through the instruction input function in the custom module. For example, input an instruction to control the electric window to open automatically once or twice every two hours when the air conditioner is turned on. At the same time, according to the environmental difference between indoors and outdoors, the linkage device autonomously adjusts the output of the air conditioner, saving energy and reducing emissions while improving the air quality in the bedroom.

[0085] Users input sleep status and score comfort level through the feedback information input function of the custom module. As people continue to use it, a large amount of feedback data will be recorded in the linkage device. By comprehensively calculating the historical feedback data, an intelligent linkage formula for the air conditioner and the electric window is obtained, enabling the linkage device to issue corresponding control instructions according to different seasons, temperatures, humidities, times, and environments. The linkage device can not only input control instructions in real time but also analyze the linkage formula based on historical data and automatically and intelligently issue control instructions, and send different temperature command signals or on / off commands according to the indoor and outdoor temperatures and the opening / closing status of the electric window.

[0086] Through the linkage device, various types of data are stored and analyzed, enabling the linkage device to issue intelligent instructions and provide a comfortable living environment for people. Through the instruction input function, users can adjust the control independently.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the present technical solution, and they should all be covered by the protection scope of the present invention.

Claims

1. An adaptive livable bedroom control system, characterized in that: It includes an air conditioner, electric windows, an adaptive air conditioner regulator, an electric window opening / closing angle controller, and a linkage device; The adaptive air conditioner regulator is used to control the startup, shutdown, and temperature of the air conditioner; The electric window opening / closing angle controller is used to control the opening, closing, and opening / closing angle of the electric windows; The linkage device is signal-connected to the adaptive air conditioner regulator and the electric window opening / closing angle controller. The linkage device can intelligently control the adaptive air conditioner regulator and the electric window opening / closing angle controller according to the instructions input by a person's remote control or based on the current indoor and outdoor environmental conditions.

2. The adaptive livable bedroom control system according to claim 1, wherein: The linkage device includes a custom module, a sensor module, a learning module, a weather prediction information acquisition module, an optimization algorithm module, and a control execution module; The custom module has an instruction input function and a feedback information input function; among them, the instruction input function is used to allow users to directly input instructions to control the linkage of the air conditioner and the electric windows, and the feedback information input function is used to record the user's daily evaluation of the sleep state and comfort level; The sensor module is used to continuously monitor various parameters of the indoor environment and the outdoor environment of the bedroom; The learning module is used to learn and record the infrared codes of air conditioner remote controls of different manufacturers and different models; the learning module is communicatively connected to the adaptive air conditioner regulator and can provide the air conditioner remote control function for the control execution module; The weather prediction information acquisition module includes a WI-FI hardware module. The weather prediction information acquisition module obtains real-time weather prediction information on the network through the WI-FI module in combination with the weather API; The optimization algorithm module is used to comprehensively analyze the indoor and outdoor environmental parameters monitored by the sensor module, the weather prediction information obtained by the weather prediction information module, and the feedback information data recorded by the custom module. After the analysis is completed, a control instruction is obtained and sent to the control execution module; The control execution module is used to receive the control instructions sent by the optimization algorithm module to control the temperature of the air conditioner, the opening / closing time, and the opening / closing angle of the electric windows.

3. The adaptive livable bedroom control system according to claim 2, wherein: The parameters of the indoor environment of the bedroom include the temperature, humidity, and carbon dioxide content of the indoor air.

4. The adaptive livable bedroom control system according to claim 3, characterized in that: The parameters of the outdoor environment of the bedroom include the temperature, humidity, wind direction, wind speed, and ultraviolet rays of the outdoor air.

5. The adaptive livable bedroom control system according to claim 4, wherein: During the process of comprehensive analysis by the optimization algorithm module, the following factors need to be considered: season, temperature, humidity, time, environment, wind speed, and real-time weather forecast information.

6. The adaptive livable bedroom control system according to claim 5, wherein: The framework of the optimization algorithm adopted by the optimization algorithm module is as follows: I. Define the objective function; Low-power consumption objective: Minimize the energy consumption of the air conditioner, quantified by calculating the energy consumption of the air conditioner over a certain period of time; Where E is the total energy consumption of the air conditioner during the T period; P t is the power consumption of the air conditioner at time t; Livability environment objective: Maximize the environmental comfort level, quantified by environmental quality indicators; Where C is the total score of N environmental quality indicators; Qi is the score of the i-th environmental quality indicator; II. Set the constraint conditions; The constraint conditions include weather prediction information, real-time indoor and outdoor environmental information, and user feedback information; III. Linkage control; Adjust the operation of the linkage device according to the objective function and the constraint conditions; IV. Algorithm implementation; Use deep learning algorithms to process meteorological images and time series data to improve prediction efficiency and accuracy.

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