High-speed rail seat power supply and illumination integrated system

Abstract

The invention discloses a high-speed rail seat power supply and illumination integrated system, and provides an optimization scheme based on intelligent analysis and combination of software and hardware in order to solve the problems of unstable power supply, inflexible illumination adjustment, poor user interaction experience, low energy consumption management efficiency and the like in an existing high-speed rail seat power supply and illumination system. The system effectively solves the limitation of a traditional power supply illumination system, has the advantages of high efficiency, intelligence and reliability, and is suitable for traffic scenes such as high-speed rails.

Description

Technical Field

[0001] The present invention relates to the field of transportation, and in particular to an integrated system for power supply and lighting of high-speed rail seats. The system uses a combination of software and hardware technology to provide a solution with high integration, sensitive response, excellent energy efficiency and adaptive capability for intelligent control of power supply and lighting of high-speed rail seats, energy efficiency optimization, user interaction and system stability. Background Art

[0002] With the development of high-speed rail and other means of transportation, seat power supply and lighting systems play a vital role in improving passenger experience. However, the existing power supply and lighting systems have many deficiencies in terms of intelligence, energy efficiency optimization and user interaction, which are specifically reflected in the following aspects:

[0003] Inadequate management of power supply and lighting systems

[0004] The existing high-speed rail seat power supply and lighting system usually adopts the traditional fixed power supply and lighting mode, which makes it difficult to adjust the power supply and lighting status in real time according to the changes in ambient light and passenger needs. This fixed mode not only wastes energy, but also cannot be flexibly adjusted according to the personalized needs of passengers, resulting in poor passenger experience and low energy efficiency.

[0005] Imprecise lighting adjustment and high energy consumption

[0006] The existing high-speed rail lighting system generally has problems such as low adjustment accuracy and high energy consumption. In particular, it is impossible to achieve automatic and accurate light intensity and color temperature adjustment under different ambient lighting conditions, resulting in excessive or weak light brightness, affecting passenger comfort. At the same time, the lack of intelligent lighting adjustment strategies results in a waste of lighting resources.

[0007] Poor user interaction experience and lack of intelligence

[0008] Traditional high-speed rail seat power supply and lighting systems are relatively simple in terms of user interaction, usually relying on physical switches or single buttons, and cannot be flexibly adjusted according to passengers' personalized needs (such as brightness, color temperature, etc.). In addition, passengers' needs for lighting and power supply often vary due to individual differences. The existing system fails to provide sufficient adaptability and intelligence and cannot actively respond to passengers' needs.

[0009] Data acquisition and control systems are not effectively integrated

[0010] In the current high-speed rail seat power supply and lighting system, data collection and control are often separated, and the coordination between various modules is not close enough. Modules such as lighting adjustment, power supply control, and user behavior analysis lack a unified data processing and feedback mechanism, resulting in the system being unable to make effective decisions and optimizations based on real-time data, affecting the energy efficiency and stability of the overall system.

[0011] Insufficient system stability and fault recovery capabilities

[0012] The existing power supply and lighting system lacks an efficient fault detection and recovery mechanism. When the power supply is unstable or the lighting module fails, the system is often difficult to recover in time, causing inconvenience to passengers and reduced system efficiency. The lack of intelligent fault detection and recovery functions can easily cause the system to be unable to return to normal for a long time, affecting the operating efficiency and passenger experience of high-speed rail. Summary of the invention

[0013] The present invention provides an integrated power supply and lighting system for high-speed rail seats, which aims to solve the problems of lack of intelligent adjustment, energy waste, poor user experience, etc. of traditional seat power supply and lighting systems through the combination of software and hardware, intelligent algorithms, real-time monitoring and fine control. By integrating multiple functional modules, the system can automatically adjust power supply and lighting according to passenger needs, environmental changes and power supply conditions, improve passenger comfort, optimize energy consumption, and improve system stability and reliability. The following is the details of the present invention:

[0014] 1. Power supply management module

[0015] The power supply management module is responsible for real-time monitoring and adjustment of the power supply status of the seating area to ensure the stability and efficiency of the power supply system. The module consists of multiple sub-units and uses advanced sensors and control algorithms for precise management:

[0016] Voltage status monitoring subunit: The voltage data of the seat power supply is collected in real time through the Hall sensor. The Hall sensor can accurately measure the voltage without contacting the current, avoiding the contact measurement error in traditional sensors. The collected voltage data is compared with the preset voltage range. If the voltage is detected to deviate from the normal range, the system will automatically start the adjustment mechanism to ensure the stability of the power supply voltage. If the voltage is too low or too high, the system will issue an alarm or automatically adjust to a safe range.

[0017] Current load monitoring subunit: The current load data of the seating area circuit is collected through the current transformer. The current sensor is used to monitor the power usage in real time and evaluate the current load through the current load calculation formula. This subunit can predict load fluctuations by combining historical data with real-time data, adjust the power supply strategy in advance, and avoid power shortage or waste caused by excessive system load.

[0018] Energy consumption control subunit: The energy consumption control algorithm uses the particle swarm optimization (PSO) algorithm to optimize the system energy distribution. The particle swarm optimization algorithm searches for the optimal energy consumption management strategy by simulating the foraging process of bird flocks in nature. The system dynamically adjusts the power output according to the real-time current, voltage and load conditions to achieve the purpose of reducing energy consumption and improving energy efficiency. The control unit adjusts the regulation of each power output in real time according to the feedback instructions of the intelligent analysis module.

[0019] 2. Lighting management module

[0020] The lighting management module is responsible for controlling the brightness and color temperature of the lights in the seating area. The system can automatically adjust the lighting according to environmental changes and passenger needs to achieve the best effect. The key technologies and sub-units of this module are as follows:

[0021] Lighting mode switching subunit: The ambient light intensity of the seating area is monitored in real time through an ambient light sensor (photodiode). The sensor can detect changes in external light (light intensity during the day and at night) and automatically switch the lighting mode according to the light intensity. For example, when the light is strong during the day, the system will automatically switch to energy-saving mode or turn off the light; when the light is weak at night, the system will brighten the light and adjust the lighting mode (soft mode, focus mode) according to demand.

[0022] Brightness adjustment subunit: This subunit finely adjusts the light brightness through a dimming controller and PWM (pulse width modulation) technology. PWM dimming technology controls the brightness output by adjusting the on-off cycle of the LED light, thereby achieving 0-100% brightness adjustment. This subunit can automatically or manually adjust the light brightness according to the personalized needs of passengers to enhance the user experience.

[0023] Color temperature control subunit: The color temperature sensor collects the color temperature data of the light in real time. According to the passenger preferences or preset conditions, the system automatically adjusts the color temperature of the seating area (such as cool white light or warm white light). The color temperature sensor adjusts the coolness or warmth of the light according to the color temperature range to provide a more comfortable lighting environment.

[0024] 3. User interaction module

[0025] The user interaction module provides passengers with a personalized setting interface, allowing passengers to easily adjust the power supply and lighting status of the seat area. The module includes the following key functions:

[0026] Touch interface: Users input personalized needs through the touch screen interface, such as adjusting the light brightness, color temperature or power status of the seat. The touch interface and the control module exchange data through wireless communication protocols (Wi-Fi or Bluetooth) to ensure fast response. The instructions entered by the user will be transmitted to the control module via wireless signals to perform the corresponding adjustment operations.

[0027] Voice recognition interface: Through the built-in microphone and voice recognition algorithm (Natural Language Processing algorithm NLP), passengers can adjust the seat lighting and power supply status through voice commands. For example, passengers can say "turn up the lights" or "turn off the seat power supply", and the system will interpret the command through voice recognition technology and perform the corresponding operation.

[0028] User preference recording subunit: The system records passengers' historical operation behaviors through cloud data storage or local database, and analyzes passengers' behavior patterns through machine learning algorithms to generate personalized power supply and lighting setting plans. The system predicts passengers' needs and makes adjustments in advance based on their historical preferences.

[0029] 4. Data acquisition module

[0030] The data acquisition module is responsible for real-time monitoring and collection of key parameters in the system, including power data, light data, and user behavior data, providing real-time input data for the intelligent analysis module. The data acquisition module works through multiple sub-units to ensure that the system can accurately grasp the power supply, lighting status, and passenger needs.

[0031] Power data acquisition subunit: Power data acquisition is performed through high-precision sensors, including voltage acquisition and current acquisition. The voltage is monitored in real time through the Hall sensor, and the current is acquired through the current transformer (CT). The collected voltage and current data are converted into digital signals through the analog-to-digital converter (ADC), providing data support for subsequent analysis and optimization.

[0032] Light data acquisition subunit: Ambient light data is collected through ambient light sensors (photodiodes). The system monitors the light intensity of the seating area in real time and adjusts the brightness and color temperature of the lighting based on the real-time data.

[0033] The calculation formula of light data L is as follows:

[0034] L=E·cos(θ)+I·k

[0035] in:

[0036] E represents the total ambient light intensity;

[0037] θ represents the angle between the incident angle of the light and the seat surface;

[0038] I is the light intensity of the artificial light source;

[0039] k is the reflectivity coefficient of the light source, which is dynamically adjusted according to the material and environmental parameters.

[0040] User behavior collection subunit: User behavior is collected through the touch interface and voice commands. The touch interface records the passenger's settings for seat lighting brightness, color temperature and power requirements, and the voice recognition interface uses the natural language processing algorithm (NLP) to recognize the passenger's voice commands and convert them into control commands. These user behavior data provide personalized control parameters for the intelligent analysis module.

[0041] 5. Intelligent analysis module

[0042] The intelligent analysis module uses integrated algorithms to comprehensively process the real-time data transmitted by the data acquisition module and generate optimized power supply and lighting control strategies. This module uses a variety of algorithms and technical means to improve the intelligence level of the system, ensure that the power supply and lighting effects meet the needs of passengers, and maximize energy efficiency.

[0043] Data fusion processing unit: Uses Kalman filtering algorithm to perform fusion processing of multiple data sources, removes noise from data collected by multiple sensors, and obtains a more accurate system status.

[0044] Input data algorithm formula:

[0045] x k =A·x k-1 +B·u k +ω k

[0046] y k =C·x k +v k

[0047] in:

[0048] x k is the current system status,

[0049] A is the state transfer matrix,

[0050] B is the control input matrix,

[0051] u k is the control input,

[0052] ω k is the process noise,

[0053] y k is the observed value,

[0054] C is the observation matrix,

[0055] v k is the measurement noise.

[0056] Optimization strategy generation unit: Use particle swarm optimization (PSO) to generate the optimal power supply and lighting control strategy. PSO simulates group behavior to perform global search, optimize energy efficiency and dynamically adjust power supply and lighting settings.

[0057] Abnormal state detection unit: K-means clustering algorithm is used for abnormality detection to monitor the working status of the power supply and lighting system in real time. By comparing the deviation between real-time data and normal state data, the system can detect faults or abnormalities in time to ensure safe and stable operation of the system.

[0058] 6. Control execution module

[0059] The control execution module accurately adjusts the power supply and lighting system of the seating area based on the optimization strategy of the intelligent analysis module. This module converts all control instructions into actual execution operations, ensuring the efficiency and stability of system operation through refined control.

[0060] Power supply regulation subunit: Power supply regulation controls the voltage and current of the seating area through a digital power management chip. Through the power factor regulation algorithm, the voltage and current of the system are dynamically adjusted to ensure the stability and efficiency of the power supply.

[0061] Lighting adjustment subunit: Lighting adjustment uses PWM (pulse width modulation) technology to adjust the light brightness and color temperature. By controlling the switching frequency and time ratio of the LED light, the light brightness can be finely adjusted.

[0062] Dynamic adjustment subunit: Dynamically adjust the working status of the power supply and lighting system based on real-time data (voltage, current, light intensity) and passenger input requirements (such as touch or voice commands). Use intelligent load balancing algorithms (dynamically adjust the power load of each device to ensure the stability and reliability of the power supply system and avoid overload) to optimize resource allocation and improve system efficiency.

[0063] Fault recovery subunit: When the system detects an abnormality or fault, it automatically performs recovery operations. It uses a fuzzy logic decision tree algorithm (setting fuzzy rules, simulating different fault modes and emergency plans, automatically judging and performing recovery operations) to identify fault modes and perform automatic recovery operations by backing up power or switching control paths. It ensures that lighting and power supply can be quickly restored in the event of a system failure to ensure a good passenger experience.

[0064] 7. Communication management module

[0065] The communication management module is responsible for the communication and data exchange between modules within the system and with external systems, ensuring the timely transmission of information and the overall collaboration of the system.

[0066] Internal communication interface: Internal communication uses Wi-Fi or Bluetooth technology to achieve data exchange between modules, ensuring information synchronization and real-time update of each module.

[0067] External communication interface: External communication uploads the system status to the high-speed rail central control system through the standardized MQTT protocol to achieve remote monitoring and management.

[0068] Data security management unit: Use AES encryption technology to encrypt the transmitted data to ensure the security of the data transmission process, and use the data integrity check algorithm (CRC32) to ensure the accuracy and integrity of the data.

[0069] Beneficial Effects

[0070] A high-speed rail seat power supply and lighting integrated system achieves the following effects by combining a power supply management module, a lighting management module, a user interaction module, a data acquisition module, an intelligent analysis module, a control execution module, and a communication management module:

[0071] Improve energy efficiency

[0072] The system optimizes power supply and lighting strategies through intelligent analysis modules, and uses particle swarm optimization (PSO) and Kalman filter algorithms to analyze and process real-time data to ensure the optimal configuration of power supply and lighting in the seating area. By dynamically adjusting power load and lighting brightness, unnecessary energy consumption is reduced, energy efficiency is significantly improved, and the overall energy consumption of the system is reduced.

[0073] Enhanced personalization capabilities for passenger experience

[0074] The system can make personalized adjustments based on passengers' real-time needs, including seat lighting brightness, color temperature and power requirements. By collecting user preferences through the touch interface and voice commands, and combining the optimization algorithm in the intelligent analysis module, the system can respond to passengers' needs in real time, provide a personalized and comfortable riding environment, and thus enhance the overall riding experience of passengers.

[0075] Automatic fault detection and recovery capabilities

[0076] The system uses K-means clustering algorithm for data monitoring and real-time detection of the working status of the power supply and lighting systems. Once an abnormality occurs in the system, the intelligent analysis module can identify and alarm in time, and the control execution module can achieve automatic recovery through the fuzzy logic decision tree algorithm to ensure that the system can quickly resume normal operation in the event of a fault and avoid service interruption due to the fault.

[0077] Optimize system resource configuration and reduce hardware requirements

[0078] Through intelligent load balancing algorithms and automatic adjustment mechanisms, the system can achieve efficient configuration of system resources without adding additional hardware. The load distribution of the lighting and power supply systems is automatically adjusted to ensure that each subsystem can reasonably share the load when the load is high, avoid overload, extend the life of the equipment, reduce the system's dependence on hardware, and reduce maintenance costs.

[0079] Data security and communication reliability

[0080] The system encrypts the transmitted data through AES encryption technology to ensure the security of the data during transmission. At the same time, the CRC32 algorithm is used for data integrity verification to ensure that information transmission is not lost. The system's internal communication uses technologies such as Wi-Fi or Bluetooth to ensure data synchronization and collaboration between modules. External communication uses the MQTT protocol to achieve a stable connection with the high-speed rail central control system, providing highly reliable data support for remote management and monitoring.

[0081] Efficient automatic adjustment and energy-saving control function

[0082] With the support of the intelligent analysis module, the system can collect data such as voltage, current, light intensity and user needs in real time, and automatically adjust the power supply and lighting system of the seat. For example, by adjusting the PWM duty cycle of the LED light, the light intensity can be accurately controlled, the lighting effect can be optimized, and energy consumption can be reduced. The system can dynamically adjust according to different environments and passenger needs to achieve energy-saving effects and ensure that the lighting and power supply systems work under optimal conditions.

[0083] Improve the stability and security of system operation

[0084] The system continuously monitors power, light, and user behavior data to ensure that each system submodule is in optimal operating condition. Through intelligent analysis and control strategies, it can effectively prevent problems such as power overload, light discomfort, or system failure, improve the stability and safety of the system, and avoid potential safety hazards caused by system failure. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 It is the flow chart of power supply management module;

[0086] Figure 2 It is the flow chart of lighting management module;

[0087] Figure 3 It is a flow chart of the user interaction module;

[0088] Figure 4 It is the flow chart of data acquisition module;

[0089] Figure 5 It is the flow chart of intelligent analysis module;

[0090] Figure 6 It is the control execution module flow chart;

[0091] Figure 7 It is the flow chart of the communication management module. DETAILED DESCRIPTION

[0092] The embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0093] Example:

[0094] 1. Power supply management module

[0095] The power supply management module is responsible for real-time monitoring and adjustment of the power supply status of the seating area to ensure the stability and efficiency of the power supply system. The module consists of multiple sub-units and uses advanced sensors and control algorithms for precise management:

[0096] Voltage status monitoring subunit: The voltage data of the seat power supply is collected in real time through the Hall sensor. The Hall sensor can accurately measure the voltage without contacting the current, avoiding the contact measurement error in traditional sensors. The collected voltage data is compared with the preset voltage range. If the voltage is detected to deviate from the normal range, the system will automatically start the adjustment mechanism to ensure the stability of the power supply voltage. If the voltage is too low or too high, the system will issue an alarm or automatically adjust to a safe range.

[0097] Current load monitoring subunit: The current load data of the seating area circuit is collected through the current transformer. The current sensor is used to monitor the power usage in real time and evaluate the current load through the current load calculation formula. This subunit can predict load fluctuations by combining historical data with real-time data, adjust the power supply strategy in advance, and avoid power shortage or waste caused by excessive system load.

[0098] Energy consumption control subunit: The energy consumption control algorithm uses the particle swarm optimization (PSO) algorithm to optimize the system energy distribution. The particle swarm optimization algorithm searches for the optimal energy consumption management strategy by simulating the foraging process of bird flocks in nature. The system dynamically adjusts the power output according to the real-time current, voltage and load conditions to achieve the purpose of reducing energy consumption and improving energy efficiency. The control unit adjusts the regulation of each power output in real time according to the feedback instructions of the intelligent analysis module.

[0099] 2. Lighting management module

[0100] The lighting management module is responsible for controlling the brightness and color temperature of the lights in the seating area. The system can automatically adjust the lighting according to environmental changes and passenger needs to achieve the best effect. The key technologies and sub-units of this module are as follows:

[0101] Lighting mode switching subunit: The ambient light intensity of the seating area is monitored in real time through an ambient light sensor (photodiode). The sensor can detect changes in external light (light intensity during the day and at night) and automatically switch the lighting mode according to the light intensity. For example, when the light is strong during the day, the system will automatically switch to energy-saving mode or turn off the light; when the light is weak at night, the system will brighten the light and adjust the lighting mode (soft mode, focus mode) according to demand.

[0102] Brightness adjustment subunit: This subunit finely adjusts the light brightness through a dimming controller and PWM (pulse width modulation) technology. PWM dimming technology controls the brightness output by adjusting the on-off cycle of the LED light, thereby achieving 0-100% brightness adjustment. This subunit can automatically or manually adjust the light brightness according to the personalized needs of passengers to enhance the user experience.

[0103] Color temperature control subunit: The color temperature sensor collects the color temperature data of the light in real time. According to the passenger preferences or preset conditions, the system automatically adjusts the color temperature of the seating area (such as cool white light or warm white light). The color temperature sensor adjusts the coolness or warmth of the light according to the color temperature range to provide a more comfortable lighting environment.

[0104] 3. User interaction module

[0105] The user interaction module provides passengers with a personalized setting interface, allowing passengers to easily adjust the power supply and lighting status of the seat area. The module includes the following key functions:

[0106] Touch interface: Users input personalized needs through the touch screen interface, such as adjusting the light brightness, color temperature or power status of the seat. The touch interface and the control module exchange data through wireless communication protocols (Wi-Fi or Bluetooth) to ensure fast response. The instructions entered by the user will be transmitted to the control module via wireless signals to perform the corresponding adjustment operations.

[0107] Voice recognition interface: Through the built-in microphone and voice recognition algorithm (Natural Language Processing algorithm NLP), passengers can adjust the seat lighting and power supply status through voice commands. For example, passengers can say "turn up the lights" or "turn off the seat power supply", and the system will interpret the command through voice recognition technology and perform the corresponding operation.

[0108] User preference recording subunit: The system records passengers' historical operation behaviors through cloud data storage or local database, and analyzes passengers' behavior patterns through machine learning algorithms to generate personalized power supply and lighting setting plans. The system predicts passengers' needs and makes adjustments in advance based on their historical preferences.

[0109] 4. Data acquisition module

[0110] The data acquisition module is responsible for real-time monitoring and collection of key parameters in the system, including power data, light data, and user behavior data, providing real-time input data for the intelligent analysis module. The data acquisition module works through multiple sub-units to ensure that the system can accurately grasp the power supply, lighting status, and passenger needs.

[0111] Power data acquisition subunit: Power data acquisition is performed through high-precision sensors, including voltage acquisition and current acquisition. The voltage is monitored in real time through the Hall sensor, and the current is acquired through the current transformer (CT). The collected voltage and current data are converted into digital signals through the analog-to-digital converter (ADC), providing data support for subsequent analysis and optimization.

[0112] Light data acquisition subunit: Ambient light data is collected through ambient light sensors (photodiodes). The system monitors the light intensity of the seating area in real time and adjusts the brightness and color temperature of the lighting based on the real-time data.

[0113] The calculation formula of light data L is as follows:

[0114] L=E·cos(θ)+I·k

[0115] in:

[0116] E represents the total ambient light intensity;

[0117] θ represents the angle between the incident angle of the light and the seat surface;

[0118] I is the light intensity of the artificial light source;

[0119] k is the reflectivity coefficient of the light source, which is dynamically adjusted according to the material and environmental parameters.

[0120] User behavior collection subunit: User behavior is collected through the touch interface and voice commands. The touch interface records the passenger's settings for seat lighting brightness, color temperature and power requirements, and the voice recognition interface uses the natural language processing algorithm (NLP) to recognize the passenger's voice commands and convert them into control commands. These user behavior data provide personalized control parameters for the intelligent analysis module.

[0121] 5. Intelligent analysis module

[0122] The intelligent analysis module uses integrated algorithms to comprehensively process the real-time data transmitted by the data acquisition module and generate optimized power supply and lighting control strategies. This module uses a variety of algorithms and technical means to improve the intelligence level of the system, ensure that the power supply and lighting effects meet the needs of passengers, and maximize energy efficiency.

[0123] Data fusion processing unit: Uses Kalman filtering algorithm to perform fusion processing of multiple data sources, removes noise from data collected by multiple sensors, and obtains a more accurate system status.

[0124] Input data algorithm formula:

[0125] x k =A·x k-1 +B·u k +ω k

[0126] y k =C·x k +v k

[0127] in:

[0128] x k is the current system status,

[0129] A is the state transfer matrix,

[0130] B is the control input matrix,

[0131] u k is the control input,

[0132] ω k is the process noise,

[0133] y k is the observed value,

[0134] C is the observation matrix,

[0135] v k is the measurement noise.

[0136] Optimization strategy generation unit: Use particle swarm optimization (PSO) to generate the optimal power supply and lighting control strategy. PSO simulates group behavior to perform global search, optimize energy efficiency and dynamically adjust power supply and lighting settings.

[0137] Abnormal state detection unit: K-means clustering algorithm is used for abnormality detection to monitor the working status of the power supply and lighting system in real time. By comparing the deviation between real-time data and normal state data, the system can detect faults or abnormalities in time to ensure safe and stable operation of the system.

[0138] 6. Control execution module

[0139] The control execution module accurately adjusts the power supply and lighting system of the seating area based on the optimization strategy of the intelligent analysis module. This module converts all control instructions into actual execution operations, ensuring the efficiency and stability of system operation through refined control.

[0140] Power supply regulation subunit: Power supply regulation controls the voltage and current of the seating area through a digital power management chip. Through the power factor regulation algorithm, the voltage and current of the system are dynamically adjusted to ensure the stability and efficiency of the power supply.

[0141] Lighting adjustment subunit: Lighting adjustment uses PWM (pulse width modulation) technology to adjust the light brightness and color temperature. By controlling the switching frequency and time ratio of the LED light, fine adjustment of the light brightness can be achieved.

[0142] Dynamic adjustment subunit: Dynamically adjust the working status of the power supply and lighting system based on real-time data (voltage, current, light intensity) and passenger input requirements (such as touch or voice commands). Use intelligent load balancing algorithms (dynamically adjust the power load of each device to ensure the stability and reliability of the power supply system and avoid overload) to optimize resource allocation and improve system efficiency.

[0143] Fault recovery subunit: When the system detects an abnormality or fault, it automatically performs recovery operations. It uses a fuzzy logic decision tree algorithm (setting fuzzy rules, simulating different fault modes and emergency plans, automatically judging and performing recovery operations) to identify fault modes and perform automatic recovery operations by backing up power or switching control paths. It ensures that lighting and power supply can be quickly restored in the event of a system failure to ensure a good passenger experience.

[0144] 7. Communication management module

[0145] The communication management module is responsible for the communication and data exchange between modules within the system and with external systems, ensuring the timely transmission of information and the overall collaboration of the system.

[0146] Internal communication interface: Internal communication uses Wi-Fi or Bluetooth technology to achieve data exchange between modules, ensuring information synchronization and real-time update of each module.

[0147] External communication interface: External communication uploads the system status to the high-speed rail central control system through the standardized MQTT protocol to achieve remote monitoring and management.

[0148] Data security management unit: Use AES encryption technology to encrypt the transmitted data to ensure the security of the data transmission process, and use the data integrity check algorithm (CRC32) to ensure the accuracy and integrity of the data.

Claims

1. A high-speed rail seat power supply and lighting integrated system, characterized in that: include: Power supply management module, used to monitor and adjust the power supply status of seats; Lighting management module, used to adjust the brightness and color temperature of lights in the seating area; A user interaction module, used to receive a user's personalized setting instruction; Data acquisition module, used to collect real-time data of power supply and lighting; Intelligent analysis module, used to analyze user instructions and collect data to generate optimized control strategies; A control execution module, used to execute the power supply and lighting adjustment instructions generated by the intelligent analysis module; The communication management module is used to realize the communication interaction between modules within the system and with external systems. Each module is interconnected through wireless communication and data bus. The power supply management module, lighting management module, data acquisition module, etc. collect and process relevant data in real time. The intelligent analysis module generates optimization strategies and adjusts system parameters through the control execution module. All modules work together to ensure efficient, intelligent and safe operation of the system. At the same time, the communication management module ensures seamless data exchange between modules and synchronization with external systems.

2. The system according to claim 1, characterized in that The power supply management module also includes: The voltage status monitoring subunit is used to obtain the voltage data of the seat power supply in real time through sensors, use accurate voltage sensors to monitor the voltage, and compare it with the preset voltage range to ensure voltage stability. The current load monitoring subunit is used to collect the current load data of the seat circuit through the current sensor, calculate the real-time power load of the system, and predict the load fluctuation based on the historical data to optimize the power supply strategy. The energy consumption control subunit integrates the energy consumption management algorithm and dynamically adjusts the power output based on the optimization instructions of the intelligent analysis module to avoid overload and improve energy efficiency.

3. The system according to claim 1, characterized in that The lighting management module also includes: The light mode switching subunit is used to switch the preset light mode according to the ambient light intensity data. The mode switching collects the ambient light intensity of the seating area in real time through the ambient light sensor, and decides whether to adjust the light mode through logical judgment. The brightness adjustment subunit is used to dynamically adjust the light brightness through the dimming controller according to passenger needs and environmental changes. It supports a brightness range of 0-100% and uses PWM dimming technology for fine control. The color temperature control subunit obtains the light color information of the current seating area through the color temperature sensor, and controls the color temperature range of the LED light according to user preferences or automatic adjustment.

4. The system according to claim 1, characterized in that The user interaction module also includes: The touch interface is used to receive lighting brightness, color temperature and power supply requirements input by passengers through the touch screen. Users can adjust the seat lighting settings or power supply status through the touch interface. The interface interacts through wireless communication with the control module. The voice recognition interface, combined with voice recognition technology, collects passenger voice commands through the built-in microphone, recognizes the command content and issues corresponding power supply or lighting adjustment commands. The user preference recording subunit is used to record user historical operation data through cloud data storage or local database, use machine learning algorithms to analyze user behavior, and generate personalized power supply and lighting solutions.

5. The system according to claim 1, characterized in that The data acquisition module also includes: The power data acquisition subunit uses precise voltage and current sensors to collect the voltage and current status of the power supply system in real time. The sensor data is converted into digital signals through an analog-to-digital converter to facilitate subsequent analysis and processing. The light data acquisition subunit uses an ambient light sensor to monitor the ambient light intensity in the seating area in real time, and adjusts the brightness and color temperature of the lighting system based on the data. The calculation formula of light data L is as follows: L=E·cos(θ)+I·k in: E represents the total ambient light intensity; θ represents the angle between the incident angle of the light and the seat surface; I is the light intensity of the artificial light source; k is the reflectivity coefficient of the light source, which is dynamically adjusted according to the material and environmental parameters. The user behavior collection subunit collects user preference information based on the operation data of the passenger touch interface or voice commands, and uploads the data to the intelligent analysis module for generating personalized service strategies.

6. The system according to claim 1, characterized in that The intelligent analysis module also includes: The data fusion processing unit integrates the data from the power, lighting and user interaction modules in real time by using the Kalman filter algorithm, providing accurate input data for subsequent analysis. Input data algorithm formula: x k =A·x k-1 +B·u k +ω k y k =C·x k +v k in: x k is the current system status, A is the state transfer matrix, B is the control input matrix, u k is the control input, ω k is the process noise, y k is the observed value, C is the observation matrix, v k is the measurement noise. The optimization strategy generation unit generates the optimal power supply and lighting configuration plan based on fused data and machine learning algorithms, uses behavior prediction algorithms to predict user needs, and formulates the optimal energy consumption allocation plan based on the energy consumption optimization algorithm. The abnormal state detection unit, based on the improved K-means clustering algorithm, detects the abnormal state of the power supply or lighting module, locates potential problems and issues repair instructions by comparing the deviation between the normal state and the real-time data.

7. The system according to claim 1, characterized in that The control execution module also includes: The power supply regulation subunit is used to accurately control the power supply to the seating area through the power regulator according to the power supply optimization strategy generated by the intelligent analysis module. The lighting adjustment subunit is used to adjust the light brightness and color temperature in real time through the dimming controller according to the lighting adjustment strategy provided by the intelligent analysis module, and to finely adjust the brightness of the LED light through PWM control technology, combined with the user's preferred color temperature setting to ensure that passengers have a comfortable lighting effect. The dynamic adjustment subunit is used to dynamically adjust the operating status of the power supply and lighting system according to the real-time voltage, current, light intensity collected by the sensor and the needs of user input. Through the intelligent load balancing algorithm, the allocation of power and lighting resources is optimized in real time to improve the energy efficiency of the system and reduce energy consumption. The fault recovery subunit is used to perform automatic recovery operations according to the predetermined emergency plan when the system is abnormal or fails to ensure stable operation of the system. This subunit identifies the fault mode through an abnormality detection algorithm and automatically restores power supply or lighting function by backing up the power supply or switching the control path.

8. The system according to claim 1, characterized in that The communication management module also includes: The internal communication interface uses wireless communication technology to realize data exchange between modules, ensuring smooth information transmission and real-time update of the status of each module. The external communication interface uses standardized communication protocols to upload the system's operating status to the high-speed rail central control system to achieve remote monitoring and management. The data security management unit uses AES encryption technology to encrypt the transmitted data to ensure information security during the communication process, and at the same time ensures the reliability of data transmission through the data integrity verification algorithm.

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