High-speed railway platform vehicle information indication system based on wireless transmission

Abstract

The invention discloses a high-speed railway platform vehicle information indication system based on wireless transmission, and relates to the technical field of platform indication. The invention comprises an information acquisition module, a verification module, a display module and a wireless communication module; the information acquisition block is used to obtain the vehicle schedule and carriage position information that are planned in advance and sent by a dispatching system; the communication protocol, frequency and power parameters of the wireless communication module are set to ensure compatibility with the dispatching system; the invention significantly improves the real-time and accuracy of the high-speed railway platform vehicle information indication by integrating the information acquisition module, the verification module and the display module; the information acquisition module receives the vehicle schedule and carriage position information of the dispatching system in real time, and the verification module collects field data in real time through monitoring cameras and sensors, and compares the data with the received information to ensure the accuracy of the displayed content; this real-time verification mechanism effectively avoids information delays and errors, and improves the travel experience of passengers.

Description

Technical Field

[0001] The present invention relates to the technical field of platform indication, and in particular to a high-speed railway platform vehicle information indication system based on wireless transmission. Background Art

[0002] With the rapid development of high-speed railway networks, the information display system on high-speed railway platforms has become increasingly important. Existing systems usually rely on fixed display boards or electronic screens to display train schedules and carriage location information.

[0003] Although these systems can provide basic information services, they have some obvious limitations. First, the information update is not real-time enough, often requiring manual operation or scheduled automatic updates, which may cause delayed or inaccurate information. Second, these systems perform poorly in terms of environmental adaptability. For example, the visibility and clarity of the display will be affected in strong or low light conditions. In addition, the existing systems are also insufficient in terms of energy saving, lacking the function of automatically adjusting energy consumption according to the use of the platform.

[0004] In order to overcome the shortcomings of the existing system, wireless communication technology provides an effective solution. Through wireless transmission, real-time updating and remote management of vehicle information can be achieved, thereby improving the accuracy and reliability of information. However, the application of wireless communication technology to the high-speed railway platform information indication system is not without challenges. First, it is necessary to ensure the stability and security of wireless communication to prevent data from being lost or illegally accessed during transmission. Secondly, the design of the wireless communication module needs to consider compatibility with other system components and adaptability in different environments. In addition, the energy consumption management and fault recovery mechanism of the wireless communication module are also issues that need to be focused on in the design.

[0005] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0006] The purpose of the present invention is to solve the deficiencies of the existing high-speed railway platform information indication system in terms of real-time performance, environmental adaptability, energy-saving efficiency and accuracy, and to propose a high-speed railway platform vehicle information indication system based on wireless transmission.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] The high-speed railway platform vehicle information indication system based on wireless transmission includes:

[0009] The information acquisition module is used to obtain the pre-planned vehicle schedule and carriage location information sent by the dispatching system;

[0010] The verification module is used to identify the on-site vehicle shift and location data and determine whether the data obtained by the information acquisition module is correct;

[0011] The display module is used to display the high-speed train schedule and carriage position through different display units set at fixed positions on the high-speed rail platform. The specific process is as follows:

[0012] Setting display parameters of the display unit, including brightness, contrast and font size, wherein the brightness is adaptively adjusted according to the external environment, and establishing a wireless communication connection between the display module and the wireless communication module;

[0013] Receive the vehicle schedule and car position information from the verification module, parse the received data, extract the vehicle schedule, car position and car number information; format the parsed data into a display format, including text, icons or visual elements;

[0014] Plan the display layout of the display units, update the display content in real time, monitor errors that occur during the display process, report errors to the system administrator, and attempt to resynchronize data;

[0015] Continuously monitor the operating status of the display module to ensure normal operation, and regularly maintain and update the hardware and software of the display module;

[0016] Design energy-saving modes to reduce the brightness or put the display unit into sleep mode during off-peak hours or when no vehicles arrive, ensure that the display unit has power supply, and use backup power in case of power outages;

[0017] The wireless communication module is used for wirelessly communicating the data acquired by the information acquisition module and the verification module with the data of different display units in the display module.

[0018] Furthermore, the process of adaptively adjusting the brightness of the display module according to the external environment is as follows:

[0019] Integrate the ambient light sensor into the display unit to monitor the lighting conditions of the station in real time and calibrate the ambient light sensor to improve the accuracy of the ambient light sensor readings;

[0020] Through the PID control algorithm, the brightness of the display unit is automatically adjusted according to the data of the ambient light sensor. The algorithm is tested under different lighting conditions to improve the smoothness and accuracy of brightness adjustment. Specifically:

[0021] According to the difference between the ambient light intensity and the target brightness, the display brightness is adjusted proportionally, past errors are accumulated, steady-state errors are eliminated, and future trends are predicted to reduce overshoot and oscillation of the system. According to the target brightness value calculated by the algorithm, the backlight or LED brightness of the display unit is adjusted, and the upper and lower limits of the brightness are set to prevent overbrightness or overdarkness;

[0022] Test the algorithm under different lighting conditions to ensure that it works properly in different environments, evaluate the algorithm's response speed, stability and energy consumption, adjust PID parameters according to the test results, and optimize the accuracy and response speed of brightness adjustment.

[0023] Furthermore, the specific operation steps of the information acquisition module receiving the pre-planned vehicle schedule and carriage location information sent by the dispatching system are as follows:

[0024] Set the communication protocol, frequency and power, match with the dispatch system, establish data connection, continuously monitor the dispatch system broadcast, and receive vehicle schedule and location information;

[0025] Temporarily store the received data in a cache for further processing, parse the data according to a preset format, and verify its completeness and accuracy;

[0026] The parsed data is converted into an internal format and stored in a database or memory. The processed data is sent to the verification module via wireless communication for accuracy confirmation;

[0027] Monitor abnormal situations that occur during data reception and processing. When an error is detected, immediately notify the administrator and try to re-receive or request resending of the data.

[0028] Furthermore, the specific operation steps of the information acquisition module to monitor abnormal conditions that occur during data reception and processing are as follows:

[0029] First, preset the exception type and clearly define the situations that are considered abnormal, including data loss, data format error, and data timeout. Set monitoring points in the data receiving and processing process to monitor the system status in real time.

[0030] Check in real time whether the received data packet is complete, whether there is data loss or anomaly, verify whether the data format meets the preset requirements, ensure that the data can be correctly parsed, and monitor whether the data reception is completed within the scheduled time. If the scheduled time is exceeded, it is determined that there is a communication problem.

[0031] When an anomaly is detected, the error log is recorded, including the time, type and cause, and the error is classified according to its severity to determine the priority of processing;

[0032] The error information is notified to the system administrator in real time via email, SMS and instant messaging tools, and the error prompt is displayed on the user interface to inform the operator of the current system status;

[0033] When a serious error occurs, the backup plan is activated, and serious errors include:

[0034] Complete interruption of communication links, loss of critical data, data consistency errors, system hardware failures, network security attacks, power failures, software failures, environmental factors, and dispatch system failures;

[0035] Alternative options include:

[0036] Alternative communication links, cached data, redundant systems, manual intervention, emergency notifications, regular backups, and security protocols;

[0037] Regularly analyze error logs to identify error patterns and system weaknesses, and optimize the system based on the results of error analysis to reduce the occurrence of future errors; record all monitoring, error detection, handling, and recovery operations.

[0038] Furthermore, the specific operation steps of the verification module identifying the on-site vehicle shift and location data and determining whether the data obtained by the information acquisition module is correct are as follows:

[0039] Use surveillance cameras and sensors to collect vehicle images and location data in real time, denoise and enhance contrast of images to improve recognition accuracy and remove outliers and interference in sensor data;

[0040] Use image recognition technology to extract vehicle information from images and combine it with sensor data to obtain real-time shift and location information;

[0041] Compare the collected information with the data of the information acquisition module to check whether there is any inconsistency;

[0042] When the vehicle information collected and analyzed in real time is consistent with the vehicle information provided by the information acquisition module, the information is confirmed to be correct;

[0043] When there is a discrepancy between the vehicle information collected and analyzed in real time and the vehicle information provided by the information acquisition module, an error report is generated, and the information acquisition module is notified to re-acquire or request the dispatch system to correct the information;

[0044] When the information is confirmed to be correct, the verification result is fed back to the display module to ensure that the displayed information is accurate.

[0045] Furthermore, the verification module uses image recognition technology to extract vehicle information from the image and combines it with sensor data to obtain real-time shift and location information. The specific operation steps are as follows:

[0046] Obtain real-time video streams through surveillance cameras installed on the platform, and extract key frames from the video streams for subsequent image recognition processing;

[0047] Use image recognition algorithms to identify the carriage number of the high-speed train and other features of the high-speed train, including the model and color of the high-speed train, to assist in determining the train schedule and carriage location;

[0048] When the high-speed train is equipped with RFID tags, the train schedule and carriage location information are obtained through the RFID reader, and the vehicle location information is detected using an infrared sensor;

[0049] Integrate vehicle information obtained by image recognition and sensor data, verify and supplement vehicle information through data fusion technology, improve information accuracy, combine image recognition and sensor data to determine vehicle schedules and car locations, update vehicle information in real time, and ensure information timeliness;

[0050] Verify and optimize the recognition results according to the preset frequency.

[0051] Furthermore, the specific operation steps of the verification module to verify and optimize the recognition results are as follows:

[0052] Comprehensive analysis is performed through verification parameters, including:

[0053] Accuracy: Evaluate the accuracy of image recognition. The recognition results include the recognition accuracy of high-speed train schedule, carriage number, and high-speed train features, and calculate the average to obtain the accurate evaluation value.

[0054] Consistency: Calculate the consistency between the image recognition data and the data detected by the sensor, quantify it by percentage, and record it as the evaluation value;

[0055] Performance indicators: Select the performance indicators to be evaluated, including response speed, error rate and missed detection rate. After normalization, quantify the performance indicators from 1 to 10. Use the recognition speed as the circumference to establish a bottom circle. The sum of the error rate and missed detection rate is high. Establish a cone model, analyze the surface area of ​​the cone model, and record it as the performance evaluation value.

[0056] The obtained quasi-evaluation value, first-evaluation value and performance evaluation value are calibrated as KP, KY and XP respectively, and after normalization, they are entered into the following formula: To get the final judgment value JYY, where yz is the correction index, They are the preset weight coefficients for quasi-evaluation, primary evaluation and performance evaluation respectively;

[0057] The obtained final judgment value is compared with the preset final judgment threshold. When the final judgment value is greater than the preset final judgment threshold, the recognition accuracy is judged to be qualified. Otherwise, the recognition accuracy is judged to be unsatisfactory, and recognition optimization is performed. The specific process is as follows:

[0058] Optimize image acquisition and preprocessing steps, including denoising, contrast enhancement, and sharpening, and design adaptive preprocessing processes based on the characteristics of image recognition tasks;

[0059] Combine different types of features to provide more comprehensive information;

[0060] Analyze samples with recognition errors to find out where the algorithm is deficient. Based on the results of the error analysis, optimize the algorithm or adjust the strategy in a targeted manner.

[0061] Continuously monitor recognition performance to detect any degradation in recognition accuracy as soon as possible and conduct regular and comprehensive performance evaluations.

[0062] Furthermore, the specific operation steps of the wireless communication module for wirelessly communicating the data acquired by the information acquisition module and the verification module with the data of different display units in the display module are as follows:

[0063] Set communication protocols, frequencies, and powers to ensure compatibility between devices and stable network coverage, assign unique identification codes to each device, and implement authentication mechanisms to allow only authorized devices to access the network;

[0064] Continuously monitor data requests, encrypt the data and send it to the target module via the wireless network, and use security protocols to encrypt the transmitted data to protect the integrity and privacy of the data;

[0065] Implement CRC check and other mechanisms to detect data errors, and take retransmission or resending measures to correct errors, adjust bandwidth allocation according to actual network conditions, and regularly optimize wireless signal coverage to ensure communication quality;

[0066] Monitor the communication status in real time. When a fault is found, automatically switch to the backup network or reinitialize the connection. Periodically check the performance of the wireless communication module and perform software updates and hardware maintenance.

[0067] Compared with the prior art, the present invention has the following beneficial effects:

[0068] The present invention significantly improves the real-time and accuracy of vehicle information indication on high-speed railway platforms by integrating information acquisition modules, verification modules and display modules. The information acquisition module receives vehicle schedules and carriage location information from the dispatching system in real time, while the verification module collects on-site data in real time through monitoring cameras and sensors, and compares the data with the received information to ensure the accuracy of displayed content. This real-time verification mechanism effectively avoids information delays and errors, and improves passengers' travel experience.

[0069] The present invention has a display module with an adaptive ambient brightness adjustment function. Through the integrated ambient light sensor and PID control algorithm, the display brightness can be automatically adjusted according to the platform lighting conditions to ensure that the information is clearly visible in different lighting environments. At the same time, the system is designed with an energy-saving mode to reduce energy consumption during non-peak hours and extend the service life of the equipment. The stability design of the wireless communication module, including the error detection and correction mechanism, fault recovery strategy, and regular system maintenance, ensures the stable operation of the system in various environments.

[0070] The present invention not only improves the convenience for passengers to obtain information, but also provides real-time feedback of system status and error information through the user interface, thereby enhancing the user experience. System administrators can receive system abnormality notifications in a timely manner via email, text messages or instant messaging tools, and quickly respond to and handle problems. The system design takes ease of maintainability into consideration, and regularly maintains and updates hardware and software to adapt to technological development and improve system security. Through these measures, efficient and reliable information indication is achieved, providing strong technical support for high-speed railway platform operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0072] Figure 1 This is the overall system block diagram of the present invention. DETAILED DESCRIPTION

[0073] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0074] It should be understood that the terms "include" and "comprising" used in the specification and claims of the present disclosure indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0075] It should also be understood that the terms used in this disclosure are only for the purpose of describing specific embodiments and are not intended to limit the disclosure. As used in this disclosure and claims, the singular forms of "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise. It should also be further understood that the term "and / or" used in this disclosure and claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0076] like Figure 1 As shown, the high-speed railway platform vehicle information indication system based on wireless transmission includes an information acquisition module, a verification module, a display module and a wireless communication module;

[0077] The information acquisition module is used to obtain the pre-planned vehicle schedule and carriage location information sent by the dispatching system;

[0078] Set the communication protocol, frequency, and power parameters of the wireless communication module to ensure compatibility with the dispatching system, and establish a stable wireless communication connection with the dispatching system to ensure the reliability of data transmission; continuously monitor the broadcast signal of the dispatching system, wait to receive the vehicle schedule and car position information, identify the data format sent by the dispatching system, and ensure that the received information can be correctly parsed; when the dispatching system sends the vehicle schedule and car position information, receive these data packets and temporarily store the received data in the cache for further processing;

[0079] Parse the vehicle schedule and carriage location information according to the preset data format, check whether the parsed data is complete and accurate, and ensure that no errors occur during the transmission process; format the parsed data into the format used within the system for processing by subsequent modules, and store the formatted data in the database or memory for use by other modules; synchronize the processed vehicle schedule and carriage location information to the verification module through the wireless communication module, so that the verification module can verify the accuracy of this information;

[0080] Monitor abnormal situations that may occur during data reception and processing. When an error is detected, report the error to the system administrator and try to re-receive or request the scheduling system to resend the data. The specific process is as follows:

[0081] First, preset the exception type and clearly define the situations that are considered abnormal, including data loss, data format error, data timeout and failure to receive, etc. Set monitoring points at key links in the data reception and processing process to monitor the system status in real time; check in real time whether the received data packet is complete, whether there is data loss or abnormality, verify whether the data format meets the preset, ensure that the data can be correctly parsed, monitor whether the data reception is completed within the scheduled time, and if it exceeds the scheduled time, it is judged that there is a problem with the communication; when an abnormality is detected, record the error log, including the time, type and cause, classify the errors according to the severity of the errors, and determine the priority of processing;

[0082] The system administrator will be notified of the error information in real time through email, SMS and instant messaging tools, and the error prompt will be displayed on the user interface to inform the operator of the current system status. For certain types of errors, such as temporary communication interruption, the system can automatically try to re-receive data. If the data is lost or damaged, the system can automatically send a request to the dispatch system to resend the data. When certain serious errors occur, the backup plan is activated, including the following serious errors:

[0083] Complete interruption of the communication link: When the main communication link fails completely due to hardware failure, signal interference or other reasons, the system cannot receive or send data; Critical data loss: Critical vehicle schedule or car location information is lost during the transmission process and cannot be recovered through the automatic retry mechanism; Data consistency error: The received data is seriously inconsistent with the data format expected by the system, resulting in the system being unable to parse or process; System hardware failure: Hardware devices such as wireless communication modules, servers or display units fail, affecting the normal operation of the system; Network security attacks: The system is subjected to malicious attacks, such as denial of service attacks (DoS) or data tampering, threatening the security and stability of the system; Power failure: Problems with the system power supply, such as power outages or unstable voltage, may cause partial or complete failure of the system functions; Software failure: Serious errors in the system software, such as program crashes, memory leaks or database corruption, affect the normal operation of the system; Environmental factors: Extreme weather conditions or natural disasters (such as storms, earthquakes) may cause damage to the communication link or hardware facilities; Dispatch system failure: The dispatch system itself fails and cannot provide accurate vehicle schedule and car location information;

[0084] The corresponding alternative plans include:

[0085] Backup communication link: When the main communication link fails, it automatically switches to the backup link, such as switching from Wi-Fi to 4G / 5G network; Cache data: Use the data in the cache as a temporary solution until the main data source returns to normal; Redundant system: Deploy a redundant system so that when the main system fails, it can quickly switch to the backup system; Manual intervention: System administrators can manually intervene to handle errors, such as reconfiguring the system, restarting services, or troubleshooting; Emergency notification: When a serious error occurs, the relevant personnel and passengers are informed through the emergency notification mechanism to reduce the impact; Regular backup: Regularly back up system data so that it can be quickly restored when data is lost or damaged; Security protocol: Implement strict security protocols and monitoring mechanisms to prevent and respond to network security attacks.

[0086] Analyze error logs regularly to identify common error patterns and potential system weaknesses. Based on the results of error analysis, optimize the system to reduce the occurrence of future errors. Record all monitoring, error detection, handling, and recovery operations for future reference. Document new systems, including error handling procedures and operating guidelines.

[0087] The verification module is used to identify the on-site vehicle shift and location data, and determine whether the data obtained by the information acquisition module is correct;

[0088] The monitoring camera installed on the platform cooperates with other sensors (such as RFID, infrared sensors, etc.) to collect vehicle image data, vehicle location and shift information in real time, and set the collection parameters, including the resolution, frame rate and frequency of video collection, to ensure effective wireless communication between the verification module and the information acquisition module and display module; pre-process the collected vehicle image data, including denoising and contrast enhancement, to improve the accuracy of subsequent recognition, and clean the sensor data to remove abnormal values ​​and interference data; use image recognition technology to identify vehicle information from vehicle image data, and cooperate with sensor data to obtain real-time vehicle shift and compartment location information. The specific process is as follows:

[0089] The real-time video stream is obtained through the surveillance camera installed on the platform, and the key frames are extracted from the video stream for subsequent image recognition processing; the image recognition algorithm is used to identify the carriage number of the high-speed rail and other characteristics of the vehicle, such as model and color, to assist in determining the schedule and carriage location. The specific process is as follows:

[0090] Use edge detection algorithms (such as the Canny edge detector) to identify edges in the image to identify the outline of the high-speed train. Use color histograms or color space conversion (such as HSV space) to identify the color features of the vehicle. Analyze the texture features of the image to help distinguish high-speed trains of different schedules. Use image processing techniques (such as morphological operations) to locate the carriage area. Use the vehicle's geometric shape, size, and known high-speed train model database for matching and identification, and use color histograms or color clustering algorithms (such as K-means) to classify the vehicle's color.

[0091] When the high-speed rail is equipped with RFID tags, the vehicle schedule and car location information are obtained through the RFID reader, and the vehicle location information is detected using an infrared sensor. The vehicle information obtained by image recognition and sensor data are integrated, and the vehicle information is verified and supplemented through data fusion technology to improve the accuracy of the information. The vehicle schedule and car location are determined by combining image recognition and sensor data, and the vehicle information is updated in real time to ensure the timeliness of the information.

[0092] Regularly verify and optimize the identification results, specifically through comprehensive analysis of verification parameters, which include:

[0093] Accuracy: Evaluate the accuracy of image recognition. The recognition results include the recognition accuracy of high-speed train schedules, car numbers and high-speed train features. The average is calculated to obtain the quasi-evaluation value, which is used as the standard for measuring accuracy. Consistency: Calculate the consistency between the image recognition data and the data detected by the sensor, quantify it by percentage, and record it as the evaluation value. This evaluation value is used as the standard for measuring consistency. Performance indicators: Select the performance indicators that need to be evaluated, including response speed, error rate and missed detection rate. After normalization, quantify the performance indicators from 1 to 10. Establish a bottom circle with the recognition speed as the circumference. Establish a cone model with the sum of the error rate and missed detection rate as the highest. Analyze the surface area of ​​the cone model and record it as the performance evaluation value. This performance evaluation is used as the standard for measuring performance indicators.

[0094] The obtained quasi-evaluation value, first-evaluation value and performance evaluation value are calibrated as KP, KY and XP respectively, and after normalization, they are entered into the following formula: To obtain the final judgment value JYY, where yz is the correction index and the value is set between 0.95-1.12. The preset weight coefficients are respectively the quasi-evaluation value, the first-evaluation value and the performance evaluation value, and the final judgment value is used as the standard for measuring the verification of the recognition result; the obtained judgment value is compared with the preset judgment threshold value, when the judgment value is greater than the preset judgment threshold value, the recognition accuracy is judged to be qualified, otherwise, the recognition accuracy is judged to be unsatisfactory, and recognition optimization is performed. The specific process is as follows:

[0095] Optimize image acquisition and preprocessing steps, such as denoising, contrast enhancement, sharpening, etc., to improve image quality, and design an adaptive preprocessing process based on the characteristics of the image recognition task; combine different types of features (such as color, texture, shape) to provide more comprehensive information; conduct a detailed analysis of samples with recognition errors to find out where the model is deficient, and optimize the algorithm or adjust the strategy in a targeted manner based on the results of the error analysis; continuously monitor recognition performance, promptly identify problems with reduced recognition accuracy, and conduct regular and comprehensive performance evaluations to ensure that the system is maintained in the best condition.

[0096] The vehicle information collected and analyzed in real time is matched with the vehicle information provided by the information acquisition module to check whether there is any information inconsistency, including inconsistent vehicle schedules and inaccurate carriage positions; when the vehicle information collected and analyzed in real time is consistent with the vehicle information provided by the information acquisition module, the information is confirmed to be correct; when there is an inconsistency between the vehicle information collected and analyzed in real time and the vehicle information provided by the information acquisition module, an error report is generated, and the information acquisition module is notified to re-acquire or request the dispatch system to correct the information; when the information is confirmed to be correct, the verification result is fed back to the display module to ensure that the displayed information is accurate.

[0097] The display module is used to display the high-speed train schedule and carriage position by setting different display units at fixed positions on the high-speed rail platform;

[0098] Set the display parameters of the display unit, including brightness, contrast and font size. The brightness is adaptively adjusted according to the external environment. The specific process is as follows:

[0099] The ambient light sensor is integrated into the display unit to monitor the lighting conditions of the platform in real time and calibrate the ambient light sensor to ensure the accuracy of the ambient light sensor readings; the brightness of the display unit is automatically adjusted according to the data of the ambient light sensor through the PID control algorithm, and the algorithm is tested under different lighting conditions to ensure the smoothness and accuracy of the brightness adjustment. Specifically:

[0100] According to the difference between the ambient light intensity and the target brightness, the display brightness is adjusted proportionally, past errors are accumulated to eliminate steady-state errors, and future trends are predicted to reduce overshoot and oscillation of the system. According to the target brightness value calculated by the algorithm, the backlight or LED brightness of the display unit is adjusted, and the upper and lower limits of the brightness are set to prevent overbrightness or overdarkness and protect user vision. The algorithm is tested under different lighting conditions to ensure that it can work properly in various environments, and the response speed, stability and energy consumption of the algorithm are evaluated. According to the test results, the PID parameters are adjusted to optimize the accuracy and response speed of brightness adjustment.

[0101] Ensure that the display module can establish a stable wireless communication connection with the wireless communication module; receive the vehicle schedule and car position information from the verification module, parse the received data, and extract the vehicle schedule, car position and car number information; format the parsed data into a format suitable for display, such as text, icons or other visual elements; plan the display layout of the display unit, including the schedule number, car number and estimated arrival time, and update the display content in real time according to the latest data received;

[0102] Monitor errors that may occur during the display process, such as information not being updated, display errors, etc. When an error is detected, report the error to the system administrator and try to resynchronize the data; continuously monitor the operating status of the display module to ensure its normal operation, and regularly maintain and update the hardware and software of the display module to adapt to new technical requirements and improve system stability;

[0103] Design energy-saving mode to reduce the brightness or enter sleep mode when the display unit is not in peak hours or when no vehicles arrive, ensure that the display unit has a stable power supply and use backup power to prevent power outages. The specific process is as follows:

[0104] Obtain high-speed rail operation data, determine the off-peak hours of the platform, automatically reduce the brightness of the display unit according to the off-peak hours, and preset conditions, such as putting the display unit into sleep mode when no vehicles arrive within a specific time; monitor the power status of the display unit in real time, including voltage and current, to ensure that the display unit can adapt to different power supply environments, such as AC or DC, and select the corresponding backup power supply according to system requirements, such as battery packs or UPS. When the main power supply is cut off, the system can seamlessly switch to the backup power supply.

[0105] The wireless communication module is used to wirelessly communicate the data acquired by the information acquisition module and the verification module with the data of different display units in the display module;

[0106] Set the communication protocol (such as Wi-Fi, Bluetooth, LTE, etc.), frequency, power, etc. of the wireless communication module to ensure compatibility with other modules, configure the wireless network, including access points, routers, etc., to ensure the coverage and stability of the network; assign a unique identification code to each wireless communication device, implement a device authentication mechanism, and ensure that only authorized devices can access the wireless network; the wireless communication module continuously monitors data requests from the information acquisition module and the verification module, and sends the received data to the display module through the wireless network;

[0107] Encrypt the transmitted data to ensure the security of the data during transmission, and use security protocols (such as TLS / SSL) to protect the integrity and privacy of the data during transmission; implement error detection mechanisms, such as CRC check, to ensure the integrity of the data. If an error is detected, implement error correction mechanisms, such as automatic retransmission or requesting the sender to resend the data; dynamically adjust bandwidth allocation according to network conditions and data traffic, and regularly check and optimize the coverage and quality of wireless signals;

[0108] Monitor the status of the wireless communication module, detect any possible failure or performance degradation, and implement fault recovery strategies, such as automatically switching to a backup network or reinitializing the communication connection; continuously monitor the performance of the wireless communication module, including signal strength, data transmission rate, etc., and regularly maintain the wireless communication module, including software updates and hardware inspections.

[0109] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A high-speed railway platform vehicle information indication system based on wireless transmission, characterized in that: include: The information acquisition module is used to obtain the pre-planned vehicle schedule and carriage location information sent by the dispatching system; The verification module is used to identify the on-site vehicle shift and location data, and determine whether the data obtained by the information acquisition module is correct; the specific operation steps are as follows: Use surveillance cameras and sensors to collect vehicle images and location data in real time, denoise and enhance contrast of images to improve recognition accuracy and remove outliers and interference in sensor data; Use image recognition technology to extract vehicle information from images and combine it with sensor data to obtain real-time shift and location information; Compare the collected information with the data of the information acquisition module to check whether there is any inconsistency; When the vehicle information collected and analyzed in real time is consistent with the vehicle information provided by the information acquisition module, the information is confirmed to be correct; When there is a discrepancy between the vehicle information collected and analyzed in real time and the vehicle information provided by the information acquisition module, an error report is generated, and the information acquisition module is notified to re-acquire or request the dispatch system to correct the information; When the information is confirmed to be correct, the verification result is fed back to the display module to ensure that the displayed information is accurate; The specific steps of using image recognition technology to extract vehicle information from images and combine it with sensor data to obtain real-time shift and location information are as follows: Obtain real-time video streams through surveillance cameras installed on the platform, and extract key frames from the video streams for subsequent image recognition processing; Use image recognition algorithms to identify the carriage number, model, and color of high-speed trains to assist in determining the schedule and carriage location; When the high-speed train is equipped with RFID tags, the train schedule and carriage location information are obtained through the RFID reader, and the vehicle location information is detected using an infrared sensor; Integrate vehicle information obtained by image recognition and sensor data, verify and supplement vehicle information through data fusion technology, improve information accuracy, combine image recognition and sensor data to determine vehicle schedules and car locations, update vehicle information in real time, and ensure information timeliness; Verify and optimize the recognition results according to the preset frequency; The specific steps to verify and optimize the identification results are as follows: Comprehensive analysis is performed through verification parameters, including: Accuracy: Evaluate the accuracy of image recognition. The recognition results include the recognition accuracy of high-speed train schedule, carriage number, and high-speed train features, and calculate the average to obtain the accurate evaluation value. Consistency: Calculate the consistency between the image recognition data and the data detected by the sensor, quantify it by percentage, and record it as the evaluation value; Performance indicators: Select the performance indicators to be evaluated, including response speed, error rate and missed detection rate. After normalization, quantify the performance indicators from 1 to 10. Use the recognition speed as the circumference to establish a bottom circle. The sum of the error rate and missed detection rate is high. Establish a cone model, analyze the surface area of ​​the cone model, and record it as the performance evaluation value. The obtained quasi-evaluation value, first-evaluation value and performance evaluation value are calibrated as KP, KY and XP respectively, and after normalization, they are entered into the following formula: To get the final judgment value JYY, where yz is the correction index, They are the preset weight coefficients for quasi-evaluation, primary evaluation and performance evaluation respectively; The obtained final judgment value is compared with the preset final judgment threshold. When the final judgment value is greater than the preset final judgment threshold, the recognition accuracy is judged to be qualified. Otherwise, the recognition accuracy is judged to be unsatisfactory, and recognition optimization is performed. The specific process is as follows: Optimize image acquisition and preprocessing steps, including denoising, contrast enhancement, and sharpening, and design adaptive preprocessing processes based on the characteristics of image recognition tasks; Combine different types of features to provide more comprehensive information; Analyze samples with recognition errors to find out where the algorithm is deficient. Based on the results of the error analysis, optimize the algorithm or adjust the strategy in a targeted manner. Continuously monitor recognition performance to detect any degradation in recognition accuracy and conduct regular and comprehensive performance evaluations; The display module is used to display the high-speed train schedule and carriage position through different display units set at fixed positions on the high-speed rail platform. The specific process is as follows: Setting display parameters of the display unit, including brightness, contrast and font size, wherein the brightness is adaptively adjusted according to the external environment, and establishing a wireless communication connection between the display module and the wireless communication module; Receive the vehicle schedule and car position information from the verification module, parse the received data, extract the vehicle schedule, car position and car number information; format the parsed data into a display format, including text, icons or visual elements; Plan the display layout of the display units, update the display content in real time, monitor errors that occur during the display process, report errors to the system administrator, and attempt to resynchronize data; Continuously monitor the operating status of the display module to ensure normal operation, and regularly maintain and update the hardware and software of the display module; Design energy-saving modes to reduce the brightness or put the display unit into sleep mode during off-peak hours or when no vehicles arrive, ensure that the display unit has power supply, and use backup power in case of power outages; The wireless communication module is used for wirelessly communicating the data acquired by the information acquisition module and the verification module with the data of different display units in the display module.

2. The high-speed railway platform vehicle information indication system based on wireless transmission according to claim 1 is characterized in that: The process of adaptively adjusting the brightness of the display module according to the external environment is as follows: Integrate the ambient light sensor into the display unit to monitor the lighting conditions of the station in real time and calibrate the ambient light sensor to improve the accuracy of the ambient light sensor readings; Through the PID control algorithm, the brightness of the display unit is automatically adjusted according to the data of the ambient light sensor. The algorithm is tested under different lighting conditions to improve the smoothness and accuracy of brightness adjustment. Specifically: According to the difference between the ambient light intensity and the target brightness, the display brightness is adjusted proportionally, past errors are accumulated, steady-state errors are eliminated, and future trends are predicted to reduce overshoot and oscillation of the system. According to the target brightness value calculated by the algorithm, the backlight or LED brightness of the display unit is adjusted, and the upper and lower limits of the brightness are set to prevent overbrightness or overdarkness; Test the algorithm under different lighting conditions to ensure that it works properly in different environments, evaluate the algorithm's response speed, stability and energy consumption, adjust PID parameters according to the test results, and optimize the accuracy and response speed of brightness adjustment.

3. The high-speed railway platform vehicle information indication system based on wireless transmission according to claim 1 is characterized in that: The specific operation steps of the information acquisition module receiving the pre-planned vehicle schedule and carriage location information sent by the dispatching system are as follows: Set the communication protocol, frequency and power, match with the dispatch system, establish data connection, continuously monitor the dispatch system broadcast, and receive vehicle schedule and location information; Temporarily store the received data in a cache for further processing, parse the data according to a preset format, and verify its completeness and accuracy; The parsed data is converted into an internal format and stored in a database or memory. The processed data is sent to the verification module via wireless communication for accuracy confirmation; Monitor abnormal situations that occur during data reception and processing. When an error is detected, immediately notify the administrator and try to re-receive or request resending of the data.

4. The high-speed railway platform vehicle information indication system based on wireless transmission according to claim 3 is characterized in that: The specific operation steps of the information acquisition module to monitor abnormal conditions that occur during data reception and processing are as follows: First, preset the exception type and clearly define the situations that are considered abnormal, including data loss, data format error, and data timeout. Set monitoring points in the data receiving and processing process to monitor the system status in real time. Check in real time whether the received data packet is complete, whether there is data loss or anomaly, verify whether the data format meets the preset requirements, ensure that the data can be correctly parsed, and monitor whether the data reception is completed within the scheduled time. If the scheduled time is exceeded, it is determined that there is a communication problem. When an anomaly is detected, the error log is recorded, including the time, type and cause, and the error is classified according to its severity to determine the priority of processing; The error information is notified to the system administrator in real time via email, SMS and instant messaging tools, and the error prompt is displayed on the user interface to inform the operator of the current system status; When a serious error occurs, the backup plan is activated, and serious errors include: Complete interruption of communication links, loss of critical data, data consistency errors, system hardware failures, network security attacks, power failures, software failures, environmental factors, and dispatch system failures; Alternative options include: Alternative communication links, cached data, redundant systems, manual intervention, emergency notifications, regular backups, and security protocols; Regularly analyze error logs to identify error patterns and system weaknesses, and optimize the system based on the results of error analysis to reduce the occurrence of future errors; record all monitoring, error detection, handling, and recovery operations.

5. The high-speed railway platform vehicle information indication system based on wireless transmission according to claim 1 is characterized in that: The specific operation steps of the wireless communication module for wirelessly communicating the data acquired by the information acquisition module and the verification module with the data of different display units in the display module are as follows: Set communication protocols, frequencies, and powers to ensure compatibility between devices and stable network coverage, assign unique identification codes to each device, and implement authentication mechanisms to allow only authorized devices to access the network; Continuously monitor data requests, encrypt the data and send it to the target module via the wireless network, and use security protocols to encrypt the transmitted data to protect the integrity and privacy of the data; Implement CRC check mechanism to detect data errors, and take retransmission or resending measures to correct errors, adjust bandwidth allocation according to actual network conditions, and regularly optimize wireless signal coverage to ensure communication quality; Monitor the communication status in real time. When a fault is found, automatically switch to the backup network or reinitialize the connection. Periodically check the performance of the wireless communication module and perform software updates and hardware maintenance.

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