Anti-claustrousness system based on intelligent central control screen

Abstract

The invention discloses an intelligent central control screen-based anti-claustrousness system, which comprises an intelligent central control screen with a built-in anti-claustrousness system, an environment monitoring module, a user interaction module, a data processing module and a feedback output module, and is characterized in that the environment monitoring module, the user interaction module, the data processing module and the feedback output module are electrically connected with the intelligent central control screen. Real-time environment monitoring and personalized intervention measures are provided by utilizing an intelligent control technology, environment parameters can be monitored in real time, personalized environment adjustment and relaxation experience can be provided according to preferences and behaviors of a user, symptoms of claustrophobia can be relieved or prevented, and the user experience is improved. The situation that traditional psychotherapy, drug therapy, behavior therapy and the like need long-time treatment and psychological guidance is reduced, and a more convenient auxiliary treatment effect is provided for some patients.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent central control screens, and particularly to an anti-claustrophobia system based on an intelligent central control screen. Background Art

[0002] Claustrophobia is a common anxiety disorder. Patients may experience panic symptoms in enclosed spaces, such as physiological reactions like anxiety, panic, rapid breathing, increased heart rate, blushing, and sweating. In severe cases, there may even be a sense of suffocation, dizziness, and a feeling of impending death. This mental illness affects patients' daily lives, such as when taking an elevator, in a carriage, or in an indoor venue. The causes of claustrophobia are complex and may be related to growth experiences, personality factors, psychological stress, etc.

[0003] With the development of modern society, people spend more and more time in enclosed spaces, such as long - time driving, office work, etc., which may lead to problems such as claustrophobia. Although existing intelligent central control screen systems provide entertainment and information display functions, they lack effective anti - claustrophobia measures.

[0004] Regarding claustrophobia, traditional prevention and treatment methods include psychotherapy, drug treatment, behavioral therapy, etc. However, these methods may require long - term treatment and psychological counseling, and may not be convenient enough for some patients. Therefore, this application proposes an anti - claustrophobia system based on an intelligent central control screen. Summary of the Invention

[0005] The purpose of the present invention is to solve the deficiencies in the prior art and propose an anti - claustrophobia system based on an intelligent central control screen.

[0006] To achieve the above - mentioned purpose, the present invention adopts the following technical solutions:

[0007] An anti - claustrophobia system based on an intelligent central control screen includes an intelligent central control screen with an anti - claustrophobia system built - in, an environmental monitoring module, a user interaction module, a data processing module, and a feedback output module. The environmental monitoring module, user interaction module, data processing module, and feedback output module are all electrically connected to the intelligent central control screen.

[0008] Preferably, the environmental monitoring module is used to monitor the environmental parameters in the enclosed space in real time. The environmental monitoring module includes multiple monitoring sensors, and the multiple monitoring sensors are respectively a temperature sensor, a humidity sensor, and a light sensor, which are used to monitor the environmental temperature, humidity, and light respectively, and are used to convert the monitored analog signals into digital signals through an analog - to - digital converter. The analog - to - digital converter is connected to a micro - controller, and the micro - controller is used to read the output value of the analog - to - digital converter and transmit it to the data processing module for analysis.

[0009] Preferably, the user interaction module is used for the user to interact with the claustrophobia prevention system through a touch screen, voice input or gesture recognition. The user interaction module has the following usage technologies:

[0010] S101: Touch screen technology: Adopt capacitive or resistive touch screens to provide an intuitive and easy-to-use user interface. The touch screen is used to respond to the user's touch operations, including clicks and swipes;

[0011] S102: Voice recognition: Receive the user's voice input through a microphone and use voice recognition algorithms to convert the voice into text or instructions, allowing the user to control the operation of the system by voice;

[0012] S103: Gesture recognition: Use infrared sensors or cameras to capture the user's gesture actions and recognize the meaning of the gestures through gesture recognition algorithms to control the claustrophobia prevention system.

[0013] Preferably, the data processing module is used to receive data from the environmental monitoring module, analyze and process it, and generate corresponding control strategies. The data processing module includes an algorithm processing unit for performing complex data analysis and pattern recognition. The data processing module has the following usage technologies:

[0014] S201: Data analysis: Use statistical analysis and machine learning algorithms to process and analyze the collected data to extract useful information and patterns;

[0015] S202: Intelligent decision-making: Based on the results of data analysis, use algorithms such as rule engines or decision trees to formulate control strategies for adjusting environmental parameters or triggering the operations of other modules;

[0016] S203: Software architecture: Adopt data pipeline technology to improve data processing efficiency. The data pipeline decomposes the data processing process into multiple stages, and each stage is responsible for specific tasks for parallel processing and fast response.

[0017] Preferably, the feedback output module is used to adjust the display content of the intelligent central control screen or control other devices according to the instructions of the data processing module. The other devices to be controlled include intelligent lighting controllers, intelligent speakers, and intelligent playback screens, which are used to adjust the lighting brightness, play relaxing music, and display relaxing videos respectively to provide a visual and auditory relaxing experience. The feedback output module has the following usage technologies:

[0018] S301: Screen display control: Dynamically update and display the screen content by controlling the display interface of the intelligent central control screen;

[0019] S302: Audio output control: Use audio processing chips and speaker hardware components to achieve music playback and volume adjustment;

[0020] S303: Device Control Protocol: Adopt infrared, Bluetooth, and Wi-Fi communication protocols to achieve connection and control with other devices. The infrared, Bluetooth, and Wi-Fi communication protocols allow the anti-claustrophobia system to communicate and interact with other smart devices.

[0021] Preferably, the intelligent central control screen is also electrically connected to an emergency assistance module. The emergency assistance module is used to detect an emergency situation and notify the emergency contact when an emergency situation is detected. The emergency situation includes health problems and sudden environmental change problems. The emergency assistance module has the following usage technologies:

[0022] S401: Emergency Button: Set a physical button or a virtual button to allow users to quickly trigger an alarm in an emergency;

[0023] S402: Automatic Alarm: Analyze the data of the environmental monitoring module through an algorithm to automatically detect abnormal situations and trigger an alarm mechanism.

[0024] Preferably, in S402, the algorithm is an algorithm for automatically detecting abnormal situations and triggering an alarm mechanism. Based on data analysis, it is used to monitor the environment or user status in real time and automatically trigger an alarm when an emergency situation is detected. Its specific operation steps are as follows:

[0025] S4021: Data Collection: Used to collect data from the environmental monitoring module and other relevant sensors. Other relevant sensors include a heart rate monitor and a motion sensor;

[0026] S4022: Data Preprocessing: Clean the collected data, remove noise and outliers, and format the data for subsequent analysis;

[0027] S4023: Feature Extraction: Extract key features from the preprocessed data. The key features include the average value, maximum value, minimum value, and change trend within a specific time period;

[0028] S4024: Anomaly Detection: Apply statistical methods or machine learning algorithms to analyze the extracted features. The applied statistical methods include threshold detection and Z-score detection. The machine learning algorithms include support vector machines and neural networks; used to determine an abnormal situation when the extracted feature values exceed the preset threshold or conform to a specific abnormal pattern;

[0029] S4025: Alarm Triggering: Detect an abnormal situation and immediately trigger the alarm mechanism. The alarm mechanism includes physical buttons, virtual buttons, sound prompts, screen displays, etc. to notify the user, and is used to control the anti-claustrophobia system to automatically send an emergency notice to the preset emergency contact or service when the alarm mechanism is activated;

[0030] S4026: Recording and Feedback: Record the results of anomaly detection and the detailed information of alarm triggering, provide a user feedback mechanism for users to provide additional information or confirmation after alarm triggering, and use it to adjust and optimize the algorithm according to user feedback and actual situations;

[0031] S4027: Communication Technology: Use mobile networks or the Internet to send emergency notifications to preset emergency contacts or services to ensure that users can obtain help in a timely manner in case of emergencies.

[0032] Preferably, the user feedback module is used to collect direct feedback from users on the operation of the anti - claustrophobia system for the continuous improvement and optimization of the anti - claustrophobia system. The user feedback module has the following usage technologies:

[0033] S501: Feedback Collection: Collect user feedback through questionnaires, user interviews, online reviews, etc.;

[0034] S502: Data Analysis: Use data analysis tools to analyze and mine the collected feedback, and extract valuable information and suggestions;

[0035] S503: Product Iteration: According to the results of user feedback and data analysis, iterate and optimize the functions and user experience of the anti - claustrophobia system to ensure that the system continuously meets the needs and expectations of users.

[0036] Compared with the existing technologies, the beneficial effects of the present invention are:

[0037] 1. This anti - claustrophobia system based on an intelligent central control screen can real - time monitor environmental parameters in a closed space, such as temperature, humidity, light, etc., through an environmental monitoring module, and automatically adjust the environment according to these data to create a more comfortable space, achieving the effect of real - time monitoring and environmental adjustment;

[0038] 2. This anti - claustrophobia system based on an intelligent central control screen supports multiple interaction methods through a user interaction module, including touch screens, voice input, and gesture recognition, providing users with a personalized interaction experience;

[0039] 3. This anti - claustrophobia system based on an intelligent central control screen can timely notify emergency contacts or services when detecting an emergency through the setting of an emergency help module, improving safety; by integrating a variety of advanced technologies, including sensor technology, analog - to - digital conversion, data acquisition, data analysis, intelligent decision - making, device control, etc., it ensures the high efficiency and user - friendliness of the system;

[0040] 4. The claustrophobia prevention system based on the intelligent central control screen can also be used as a treatment tool by automatically adjusting the environment and providing emergency assistance. It helps patients gradually adapt to enclosed spaces, reduces their fear and pain, and can prevent the occurrence of claustrophobia. Through personalized user input adjustments, it can simulate various levels of virtual scenarios, providing an interactive immersive scenario experience for patients. By cooperating with other corresponding devices to monitor patients' physiological data in real time, it facilitates doctors to analyze patients' states and realizes automatic threshold and virtual scenario jumps controllable by external doctors, providing visible data indicators for the treatment of this mental illness. Moreover, it has the advantages of good repeatability, simple and convenient use, and low cost.

[0041] 5. The claustrophobia prevention system based on the intelligent central control screen uses the intelligent central control screen as the central control screen of the smart home. It is the core control device of the smart home system. By connecting various sensors, smart home appliances, home audio and video equipment, etc. and combining their utilization, it can achieve intelligent control and management, providing a comfortable and convenient smart life experience.

[0042] 6. The claustrophobia prevention system based on the intelligent central control screen also helps to reduce users' psychological stress and anxiety and promote mental health by providing relaxing music, videos and environment adjustment.

[0043] By using intelligent control technology, the present invention provides real-time environmental monitoring and personalized intervention measures. It can monitor environmental parameters in real time and provide personalized environmental adjustments and relaxation experiences according to users' preferences and behaviors, which helps to alleviate or prevent the symptoms of claustrophobia, reduces the situations that require long-term treatment and psychological counseling in traditional psychotherapy, drug therapy, behavior therapy, etc., and provides more convenient adjuvant treatment effects for some patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a block diagram of the claustrophobia prevention system based on the intelligent central control screen proposed by the present invention;

[0045] Figure 2 It is a flowchart of the claustrophobia prevention system based on the intelligent central control screen proposed by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments.

[0047] Refer to Figure 1-2, A claustrophobia prevention system based on an intelligent central control screen, including an intelligent central control screen with a built-in claustrophobia prevention system, an environmental monitoring module, a user interaction module, a data processing module, and a feedback output module. The environmental monitoring module, the user interaction module, the data processing module, and the feedback output module are all electrically connected to the intelligent central control screen;

[0048] Specifically, the environmental monitoring module is used to monitor the environmental parameters in the enclosed space in real time. The environmental monitoring module includes multiple monitoring sensors, and the multiple monitoring sensors are respectively a temperature sensor, a humidity sensor, a light sensor, etc., which are used to monitor the environmental temperature, humidity, light, etc. respectively, and are used to convert the monitored analog signal into a digital signal through an analog-to-digital converter. The analog-to-digital converter is connected to a microcontroller, and the microcontroller is used to read the output value of the analog-to-digital converter and transmit it to the data processing module for analysis;

[0049] Among them, the temperature sensor and the humidity sensor are DHT22 type temperature and humidity sensors. This sensor integrates temperature and humidity detection functions, has the characteristics of high precision and low power consumption, and is used to monitor the temperature and humidity in the enclosed space in real time; among them, the microcontroller is an STM32 type microcontroller, which is used as the core of data acquisition, responsible for receiving and storing data from each sensor. STM32 has powerful data processing capabilities and low power consumption characteristics, which are very suitable for such application scenarios; the environmental monitoring module also includes an MQ-2 type air quality sensor for detecting harmful gases in the air; the analog-to-digital converter and the microcontroller are both components of the environmental monitoring module, and their composition and connection applications are specifically as follows:

[0050] S601: Connection between the sensor and the analog-to-digital converter: Each sensor transmits the analog signal to the input pin of the analog-to-digital converter through its output pin;

[0051] S602: Connection between the analog-to-digital converter and the microcontroller: The digital output pin of the analog-to-digital converter is connected to the digital input pin of the microcontroller;

[0052] S603: Connection between the microcontroller and other modules: The microcontroller communicates with the data processing module through its communication interface (such as UART, SPI, I2C, etc.), and sends the collected data to the data processing module for analysis and processing; the microcontroller can also communicate with the user interaction module, the feedback output module, etc. through other communication methods (such as Wi-Fi, Bluetooth, etc.) to achieve the overall function of the system;

[0053] In summary, the environmental monitoring module collects the corresponding environmental parameters through each sensor, uses the analog-to-digital converter to convert the analog signal into a digital signal, and performs data processing and communication with other modules through the microcontroller. This connection relationship ensures that the environmental monitoring module can efficiently collect and process environmental data, providing strong support for the overall function of the system.

[0054] Furthermore, the user interaction module is used for the user to interact with the claustrophobia prevention system through the touch screen, voice input or gesture recognition. The user interaction module has the following usage technologies:

[0055] S101: Touch screen technology: Adopt capacitive or resistive touch screens to provide an intuitive and easy-to-use user interface. The touch screen is used to respond to the user's touch operations, including clicking and swiping;

[0056] S102: Voice recognition: Receive the user's voice input through the microphone and use voice recognition algorithms to convert the voice into text or instructions, allowing the user to control the operation of the system through voice;

[0057] S103: Gesture recognition: Use infrared sensors or cameras to capture the user's gesture actions and identify the meaning of the gestures through gesture recognition algorithms to control the claustrophobia prevention system.

[0058] Furthermore, the data processing module is used to receive data from the environmental monitoring module, analyze and process it, and generate corresponding control strategies. The data processing module includes an algorithm processing unit for performing complex data analysis and pattern recognition. The data processing module has the following usage technologies:

[0059] S201: Data analysis: Use statistical analysis and machine learning algorithms to process and analyze the collected data to extract useful information and patterns;

[0060] S202: Intelligent decision-making: Based on the results of data analysis, use algorithms such as rule engines or decision trees to formulate control strategies for adjusting environmental parameters or triggering the operations of other modules;

[0061] S203: Software architecture: Adopt data pipeline technology to improve data processing efficiency. The data pipeline decomposes the data processing process into multiple stages, and each stage is responsible for specific tasks for parallel processing and fast response.

[0062] Furthermore, the feedback output module is used to adjust the display content of the intelligent central control screen or control other devices according to the instructions of the data processing module. The other devices to be controlled include intelligent light controllers, intelligent speakers, intelligent playback screens, etc., which are used to adjust the light brightness, play relaxing music, display relaxing videos, etc. respectively, to provide a visual and auditory relaxing experience. The feedback output module has the following usage technologies:

[0063] S301: Screen display control: Dynamically update and display the screen content by controlling the display interface of the intelligent central control screen;

[0064] S302: Audio Output Control: Utilize the audio processing chip and speaker hardware components to achieve music playback and volume adjustment;

[0065] S303: Device Control Protocol: Adopt infrared, Bluetooth, and Wi-Fi communication protocols to achieve connection and control with other devices. The infrared, Bluetooth, and Wi-Fi communication protocols allow the anti-claustrophobia system to communicate and interact with other intelligent devices.

[0066] Furthermore, the intelligent central control screen is also electrically connected to an emergency assistance module. The emergency assistance module is used to detect an emergency situation and notify the emergency contact when an emergency situation is detected. The emergency situation includes health problems and sudden changes in the environment. The emergency assistance module has the following usage technologies:

[0067] S401: Emergency Button: Set a physical button or a virtual button to allow users to quickly trigger an alarm in an emergency;

[0068] S402: Automatic Alarm: Analyze the data of the environmental monitoring module through an algorithm to automatically detect abnormal situations and trigger the alarm mechanism.

[0069] Furthermore, in S402, the algorithm is an algorithm for automatically detecting abnormal situations and triggering the alarm mechanism. Based on data analysis, it is used to monitor the environment or user status in real time and automatically trigger an alarm when an emergency situation is detected. Its specific operation steps are as follows:

[0070] S4021: Data Collection: Used to collect data from the environmental monitoring module and other relevant sensors. Other relevant sensors include a heart rate monitor and a motion sensor;

[0071] S4022: Data Preprocessing: Clean the collected data, remove noise and outliers, and format the data for subsequent analysis;

[0072] S4023: Feature Extraction: Extract key features from the preprocessed data. The key features include the average value, maximum value, minimum value, and change trend within a specific time period;

[0073] S4024: Anomaly Detection: Apply statistical methods or machine learning algorithms to analyze the extracted features. The applied statistical methods include threshold detection and Z-score detection. The machine learning algorithms include support vector machines and neural networks; Used to determine an abnormal situation when the extracted feature values exceed the preset threshold or conform to a specific abnormal pattern;

[0074] S4025: Alarm Trigger: When an abnormal situation is detected, the alarm mechanism is immediately triggered. The alarm mechanism includes physical buttons, virtual buttons, sound prompts, screen displays, etc. to notify the user, and is used to control the anti - claustrophobia system to automatically send emergency notifications to preset emergency contacts or services when the alarm mechanism is activated;

[0075] S4026: Recording and Feedback: Record the results of abnormal detection and the detailed information of alarm triggering, and provide a user feedback mechanism for the user to provide additional information or confirmation after the alarm is triggered, and is used to adjust and optimize the algorithm according to the user feedback and actual situation;

[0076] S4027: Communication Technology: Use the mobile network or the Internet to send emergency notifications to preset emergency contacts or services to ensure that users can obtain help in a timely manner in case of an emergency.

[0077] Furthermore, the user feedback module is used to collect direct feedback from users on the operation of the anti - claustrophobia system for the continuous improvement and optimization of the anti - claustrophobia system. The user feedback module has the following usage technologies:

[0078] S501: Feedback Collection: Collect user feedback through questionnaires, user interviews, online reviews, etc.;

[0079] S502: Data Analysis: Use data analysis tools to analyze and mine the collected feedback, and extract valuable information and suggestions;

[0080] S503: Product Iteration: According to the results of user feedback and data analysis, iterate and optimize the functions and user experience of the anti - claustrophobia system to ensure that the system continuously meets the needs and expectations of users.

[0081] The working process of this embodiment is as follows:

[0082] S1: Connect the anti - claustrophobia system with the access control system or sensors for detecting user entry and exit in a wireless or wired manner. When the user enters the enclosed space and is detected by the access control system or sensors, the anti - claustrophobia system is automatically activated;

[0083] S2: Multiple sensors such as temperature sensors, humidity sensors, and light sensors collect corresponding environmental data, send the data to the data processing module for real - time analysis and storage, and the data processing module generates corresponding control strategies;

[0084] S3: In addition, the user can also use the touch screen, voice input, or gesture recognition through the user interaction module to interact with the anti - claustrophobia system, issue commands to control the anti - claustrophobia system, and perform custom interactions; Provide the above - mentioned multi - modal interaction technologies to achieve a natural and smooth user interaction experience;

[0085] S4: The data processing module analyzes the monitoring data or user interaction data. According to the analysis results, it generates an anti-claustrophobia strategy that meets the user's needs and preferences. By using big data analysis and machine learning techniques, through learning and training on a large amount of data, it can automatically identify patterns and regularities in the data, thereby generating personalized strategies and suggestions.

[0086] The technical principles of big data analysis and machine learning algorithms are as follows:

[0087] Big data analysis technology discovers the rules and patterns in the data by mining and analyzing a large amount of data. Machine learning algorithms achieve the prediction and classification of new data through training and learning models. In the anti-claustrophobia system, big data analysis and machine learning algorithms are used to analyze environmental monitoring data and user interaction data to generate personalized anti-claustrophobia strategies. It can automatically identify key information in the data, such as user preferences and the changing trends of environmental parameters, and adjust and optimize the anti-claustrophobia strategy based on this information.

[0088] S5: The feedback output module executes the strategy according to the instructions of the data processing module and displays relevant content on the intelligent central control screen, such as playing relaxing music, relaxation videos, etc. And according to the requirements of the strategy, it adjusts the display content and style of the intelligent central control screen. Among them, the intelligent central control screen, as the core output device of the system, realizes the display and interaction of content through the graphical user interface.

[0089] S6: At the same time, the feedback output module executes the strategy according to the instructions of the data processing module to control other corresponding devices, such as intelligent lighting controllers, intelligent speakers, intelligent playback screens, etc., to adjust the corresponding environmental parameters, such as adjusting the light brightness, color, playing natural sounds, etc., to create a more comfortable environmental atmosphere.

[0090] S7: The anti-claustrophobia system collects the user's feedback data through various sensors and user interaction modules, monitors the user's reactions and preferences, and uses machine learning algorithms to perform real-time analysis on the feedback data according to the user's feedback, continuously optimizing and adjusting the anti-claustrophobia strategy, and performing self-optimization and iterative upgrade.

[0091] S8: The anti-claustrophobia system collects the user's feedback data through various sensors and user interaction modules, continuously monitors the environment and user status, and uses big data analysis and machine learning algorithms to deeply mine and analyze the data, and optimizes the anti-claustrophobia strategy according to the real-time data, monitors and optimizes the environmental parameters in real time, and provides a better environmental atmosphere. Among them, the continuous monitoring and optimization mechanism realizes the dynamic adjustment and adaptive ability of the anti-claustrophobia system through real-time data analysis and built-in corresponding algorithms.

[0092] S9: Monitor the user's health status in real time through various sensors and the user interaction module. When it detects that the user has severe discomfort or abnormal conditions, the claustrophobia prevention system automatically triggers an emergency assistance program to contact the emergency contact or service; utilize the emergency handling mechanism to achieve timely attention and response to the user's health status through real-time monitoring and early warning technologies;

[0093] S10: Use the access control system or sensors for detecting the user's entry and exit to monitor the user leaving the enclosed space. After that, the claustrophobia prevention system automatically shuts down or goes into standby according to the preset trigger conditions (such as the user leaving, time, etc.) to ensure the energy conservation and security of the system.

[0094] In this embodiment, the environmental monitoring module monitors the environmental parameters in the enclosed space in real time, such as temperature, humidity, light, etc., and automatically adjusts the environment according to these data to create a more comfortable space, achieving the effect of real-time monitoring and environmental regulation; the user interaction module supports multiple interaction methods, including touch screens, voice input, and gesture recognition, providing a personalized interaction experience for the user; the setting of the emergency assistance module can notify the emergency contact or service in a timely manner when an emergency is detected, improving safety; by integrating a variety of advanced technologies, including sensor technology, analog-to-digital conversion, data acquisition, data analysis, intelligent decision-making, device control, etc., it ensures the high efficiency and user-friendliness of the system; by automatically adjusting the environment and providing emergency assistance, it can also be used as a treatment tool to help patients gradually adapt to the enclosed space, reduce their fear and pain, and prevent the occurrence of claustrophobia; through the user's personalized input adjustment, it can simulate various levels of virtual scenarios, providing an interactive immersive scenario experience for the patients. At the same time, by cooperating with other corresponding devices to monitor the patient's physiological data in real time, it is convenient for doctors to analyze the patient's state and realize the automatic threshold and virtual scenario jump controllable by external doctors, providing visible data indicators for the treatment of this mental illness, and also having the advantages of good repeatability, simple and convenient use, low cost, etc.; the intelligent central control screen, as the central control device of the smart home, is the core control device of the smart home system. By connecting various sensors, smart home appliances, home audio and video equipment, etc. and combining their utilization, it can achieve intelligent control and management, providing a comfortable and convenient smart life experience; in addition, by providing relaxing music, videos, and environmental regulation, it helps to reduce the user's psychological pressure and anxiety and promote mental health;

[0095] This embodiment can provide real-time environmental monitoring and personalized intervention measures by using intelligent control technology, can monitor environmental parameters in real time, and provide personalized environmental adjustment and relaxation experience according to the user's preferences and behaviors, which helps to alleviate or prevent the symptoms of claustrophobia.

[0096] The above are only the preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention should cover within the protection scope of the present invention by making equivalent substitutions or changes according to the technical solution and inventive concept of the present invention.

Claims

1. The anti-claustrophobia system based on the smart central control screen is characterized by: It includes a smart central control screen with a built-in anti-claustrophobia system, an environmental monitoring module, a user interaction module, a data processing module and a feedback output module. The environmental monitoring module, the user interaction module, the data processing module and the feedback output module are all electrically connected to the smart central control screen.

2. The anti-claustrophobia system based on the smart central control screen according to claim 1 is characterized in that: The environmental monitoring module is used to monitor the environmental parameters in the closed space in real time. The environmental monitoring module includes multiple monitoring sensors, which are temperature sensors, humidity sensors and light sensors, respectively, for monitoring the environmental temperature, humidity and light, and for converting the monitored analog signals into digital signals through an analog-to-digital converter. The analog-to-digital converter is connected to a microcontroller, which is used to read the output value of the analog-to-digital converter and pass it to the data processing module for analysis.

3. The anti-claustrophobia system based on the smart central control screen according to claim 1 is characterized in that: The user interaction module is used for the user to interact with the anti-claustrophobia system through a touch screen, voice input or gesture recognition. The user interaction module has the following usage technologies: S101: Touch screen technology: Use capacitive or resistive touch screen to provide an intuitive and easy-to-use user interface. The touch screen is used to respond to user touch operations, including clicks and slides. S102: Voice recognition: receiving the user's voice input through a microphone, and converting the voice into text or instructions using a voice recognition algorithm, so that the user can control the operation of the system through voice; S103: Gesture recognition: Use an infrared sensor or a camera to capture the user's gestures, and use a gesture recognition algorithm to identify the meaning of the gestures to control the anti-claustrophobia system.

4. The anti-claustrophobia system based on the intelligent central control screen according to claim 1 is characterized in that: The data processing module is used to receive data from the environmental monitoring module, analyze and process it, and generate corresponding control strategies. The data processing module includes an algorithm processing unit for performing complex data analysis and pattern recognition. The data processing module has the following usage technologies: S201: Data Analysis: Use statistical analysis and machine learning algorithms to process and analyze collected data to extract useful information and patterns; S202: Intelligent decision-making: Based on the results of data analysis, a control strategy is formulated using a rule engine or decision tree algorithm to adjust environmental parameters or trigger operations of other modules; S203: Software architecture: Data pipeline technology is used to improve data processing efficiency. The data pipeline breaks down the data processing process into multiple stages, each stage is responsible for a specific task, and is used for parallel processing and rapid response.

5. The anti-claustrophobia system based on the intelligent central control screen according to claim 1 is characterized in that: The feedback output module is used to adjust the display content of the smart central control screen or control other devices according to the instructions of the data processing module. The other controlled devices include smart light controllers, smart speakers, and smart playback screens, which are used to adjust light brightness, play relaxing music, and display relaxing videos, respectively, to provide visual and auditory relaxation experience. The feedback output module has the following usage technologies: S301: Screen display control: Dynamically update and display the screen content by controlling the display interface of the smart central control screen; S302: Audio output control: using audio processing chip and speaker hardware components to achieve music playback and volume adjustment; S303: Device control protocol: Infrared, Bluetooth, and Wi-Fi communication protocols are used to achieve connection and control with other devices. Infrared, Bluetooth, and Wi-Fi communication protocols allow the anti-claustrophobia system to communicate and interact with other smart devices.

6. The anti-claustrophobia system based on the intelligent central control screen according to claim 1 is characterized in that: The smart central control screen is also electrically connected to an emergency help module, which is used to detect an emergency and notify an emergency contact when an emergency is detected. The emergency includes health problems and sudden changes in the environment. The emergency help module has the following usage technologies: S401: Emergency button: Set a physical button or a virtual button to allow the user to quickly trigger an alarm in an emergency; S402: Automatic alarm: Analyze the data from the environmental monitoring module through an algorithm, automatically detect abnormal situations and trigger an alarm mechanism.

7. The anti-claustrophobia system based on the intelligent central control screen according to claim 6 is characterized in that: In S402, the algorithm is an algorithm for automatically detecting abnormal situations and triggering an alarm mechanism. It is based on data analysis and is used to monitor the environment or user status in real time and automatically trigger an alarm when an emergency situation is detected. The specific operation steps are as follows: S4021: Data collection: used to collect data from the environment monitoring module and other related sensors, including heart rate monitors and motion sensors; S4022: Data preprocessing: Clean the collected data, remove noise and outliers, and format the data for subsequent analysis; S4023: Feature extraction: Extract key features from the preprocessed data. The key features include the average value, maximum value, minimum value, and change trend within a specific time period. S4024: Anomaly detection: Analyze the extracted features using statistical methods or machine learning algorithms. The statistical methods include threshold detection and Z-score detection. The machine learning algorithms include support vector machines and neural networks. It is used to determine that the extracted feature value exceeds the preset threshold or meets a specific abnormal pattern as an abnormal situation. S4025: Alarm triggering: When an abnormal situation is detected, the alarm mechanism is immediately triggered. The alarm mechanism includes physical buttons, virtual buttons, sound prompts, and screen displays to notify the user, and is used to control the anti-claustrophobia system to automatically send emergency notifications to preset emergency contacts or services when the alarm mechanism is triggered; S4026: Recording and feedback: Record the results of anomaly detection and detailed information of alarm triggering, provide a user feedback mechanism for users to provide additional information or confirmation after the alarm is triggered, and adjust and optimize the algorithm based on user feedback and actual conditions; S4027: Communication technology: Use mobile networks or the Internet to send emergency notifications to preset emergency contacts or services to ensure that users can get help in time in an emergency.

8. The anti-claustrophobia system based on the intelligent central control screen according to claim 1 is characterized in that: The user feedback module is used to collect direct feedback from users on the operation of the anti-claustrophobia system, which is used for continuous improvement and optimization of the anti-claustrophobia system. The user feedback module has the following usage technologies: S501: Feedback collection: Collect user feedback through questionnaires, user interviews, and online reviews; S502: Data analysis: Use data analysis tools to analyze and mine the collected feedback to extract valuable information and suggestions; S503: Product iteration: Iterate and optimize the functions and user experience of the anti-claustrophobia system based on user feedback and data analysis results.

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