Intelligent monitoring system for railway safety environment management

Abstract

The invention discloses an intelligent monitoring system for railway safety environmental governance. The monitoring system comprises an environmental monitoring module, a monitoring module and a monitoring module, wherein the environmental monitoring module is responsible for monitoring environmental conditions along a railway; the video monitoring module is used for monitoring conditions along the railway in real time through cameras mounted along the railway and finding abnormal conditions in time; the data analysis and processing module is responsible for receiving data from the environment monitoring module and the video monitoring module, analyzing and processing the data and identifying potential safety hazards; when the system detects potential safety hazards, the alarm and notification module starts an alarm mechanism and sends alarm information to related personnel; the remote control module allows a manager to remotely control facilities along the railway; the system has remarkable effects of improving the safety and efficiency of railway transportation, the rationality of resource allocation, the emergency response capability and the user experience and promoting the modernization of railway treatment.

Description

Technical Field

[0001] The present invention belongs to the technical field related to railway safety environment management, and specifically relates to an intelligent monitoring system for railway safety environment management. Background Art

[0002] With the rapid development of railway networks, railway safety issues are becoming increasingly prominent. Traditional railway safety supervision methods can no longer meet the high standards of railway safety in modern society. Therefore, a new type of intelligent monitoring system is urgently needed to improve the efficiency and effectiveness of railway safety management. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent monitoring system for railway safety environment management to solve the problem that the traditional railway safety supervision method proposed in the above background technology can no longer meet the high standards of railway safety in modern society.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] An intelligent monitoring system for railway safety environment management, the monitoring system comprising:

[0006] Environmental monitoring module: This module is responsible for monitoring the environmental conditions along the railway, mainly including environmental factors such as temperature, humidity, wind speed, and air quality;

[0007] Video monitoring module: This module monitors the situation along the railway in real time through cameras installed along the railway, and detects abnormal situations in time;

[0008] Data analysis and processing module: This module is responsible for receiving data from the environmental monitoring module and the video surveillance module, analyzing and processing the data, and identifying potential safety hazards;

[0009] Alarm and notification module: When the system detects potential safety hazards, this module will activate the alarm mechanism and send alarm information to relevant personnel via SMS, email or other communication methods;

[0010] Remote control module: This module allows managers to remotely control facilities along the railway, including turning on or off lighting equipment and adjusting air conditioning systems;

[0011] User interface: This interface provides users with an intuitive operation and information display platform, where users can view environmental monitoring data, video surveillance images, and received alarm information.

[0012] Preferably, the environmental monitoring module steps are as follows:

[0013] Data collection: This step involves using various sensors and monitoring equipment to collect environmental data. The data includes environmental factors such as temperature, humidity, wind speed, air quality, etc.

[0014] Data transmission: The collected data needs to be transmitted to the data processing center by wireless or wired means, which involves data compression, encryption and transmission protocol;

[0015] Data analysis and processing: The data processing center will analyze and process the transmitted data to identify potential security risks, including steps such as data cleaning, integration, and statistical analysis;

[0016] Preferably, the video monitoring module steps are as follows:

[0017] Video acquisition: The video surveillance module first needs to collect video information through camera devices, which are installed at specific monitoring points, including store entrances and street corners;

[0018] Video transmission: The collected video information needs to be transmitted to the monitoring center via wired or wireless means. In this process, the video signal compression and encryption processing will be involved to ensure the security and efficiency of the transmission process;

[0019] Video storage: Video information transmitted to the monitoring center will be stored in a database or storage device for later viewing and analysis. Storage methods include local storage and cloud storage.

[0020] Video display and analysis: The staff of the monitoring center can view real-time video information through the display, and can also play back and analyze the stored video to obtain more information;

[0021] Alarm and notification: When the monitoring system detects abnormal behavior or specific events, it will automatically trigger an alarm and notify relevant personnel via SMS, email, etc.

[0022] Remote access: Managers can access the surveillance system from anywhere via the Internet to view video information or perform operations.

[0023] Preferably, the steps of the data analysis and processing module are as follows:

[0024] Data collection: This step involves collecting data from various sources, such as sensors, log files, and databases;

[0025] Data cleaning: The collected data often contains noise and inaccurate information, and needs to be pre-processed through the data cleaning process, including removing duplicate data, correcting erroneous data, and filling in missing data;

[0026] Data analysis: This step is to conduct in-depth analysis of the cleaned data, including descriptive analysis, inferential analysis, and predictive analysis, which requires the use of statistical and machine learning methods;

[0027] Results presentation: Finally, the results of the analysis need to be presented in an understandable way to facilitate decision makers to make judgments and decisions.

[0028] Preferably, the alarm and notification module steps are as follows:

[0029] Event detection: The monitoring system must first be able to detect the occurrence of abnormal events or specific conditions, which involves the analysis of video surveillance images, the recognition of sound signals, or environmental changes detected by sensors;

[0030] Alarm triggering: Once an abnormal event is detected, the monitoring system will trigger an alarm, and the process involves setting alarm rules;

[0031] Information processing: After the alarm is triggered, the system needs to process the alarm information, including confirmation, analysis and evaluation of the alarm information;

[0032] Notification sending: After processing the alarm information, the system will send the alarm information out. This process involves selecting the appropriate notification method and sending the alarm information to the relevant personnel or departments;

[0033] Response and processing: The person or department that receives the alarm information needs to respond to the alarm information and perform corresponding processing, including on-site inspection, problem solving, and system recovery;

[0034] Feedback and Recording: Finally, the person or department that handles the alarm information needs to feed back the processing results to the monitoring system, which will then record them for future query and analysis.

[0035] Preferably, the remote control module steps are as follows:

[0036] Establishing a connection: The remote control module must first establish a stable network connection with the target device or system, which involves a VPN tunnel, SSH connection, or other forms of network communication;

[0037] Authentication: To ensure security, authentication is required to ensure that only authorized users can perform remote control, including passwords, keys, and multi-factor authentication;

[0038] Send control commands: Once the connection is established and the authentication is completed, you can start sending control commands, such as starting or stopping services, modifying configurations, or executing specific scripts.

[0039] Execute control instructions: After receiving the control instructions, the target device or system will perform the corresponding operation, and the execution results may be fed back to the sender for further confirmation or adjustment;

[0040] Feedback result: After executing the control command, the target device or system will feedback the execution result to the sender, including success, failure, partial success and other information;

[0041] End the connection: After completing all required control operations, you can close the network connection to release resources.

[0042] Compared with the prior art, the present invention provides an intelligent monitoring system for railway safety environment management, which has the following beneficial effects:

[0043] Improve safety: By real-time monitoring of the environment along the railway, such as temperature, humidity, wind speed, air quality and other factors, and timely detection of abnormal conditions through video monitoring, accidents can be effectively prevented and reduced, ensuring railway transportation safety;

[0044] Improve efficiency: The intelligent monitoring system can realize remote control of the railway line, such as remotely turning on or off lighting equipment, adjusting the air conditioning system, etc., thereby improving management efficiency and response speed;

[0045] Optimize resource allocation: Through the data analysis and processing module, the collected data can be analyzed and processed to identify potential safety hazards, so as to reasonably allocate resources and ensure that key areas receive key attention and protection;

[0046] Enhanced emergency response capabilities: When the system detects potential safety hazards, the alarm and notification module will immediately activate the alarm mechanism and send alarm information to relevant personnel through various communication methods to ensure timely emergency response and processing;

[0047] Improve user experience: The user interface provides users with an intuitive operation and information display platform, allowing users to easily view environmental monitoring data, video surveillance images, and received alarm information, improving the user experience;

[0048] Promote informatization and intelligence: The construction and application of intelligent monitoring system for railway safety and environmental management will help improve the informatization, intelligence and automation level of safety and environmental monitoring along the railway, and improve the professionalism and systematicness of management;

[0049] Ensure stable operation of railways: By comprehensively integrating various disaster monitoring and alarm information, it can effectively ensure safe and stable operation of railways, reduce railway accidents caused by environmental factors, and ensure railway transportation order;

[0050] To sum up, the intelligent monitoring system for railway safety and environmental governance has a significant effect on improving the safety, efficiency, rationality of resource allocation, emergency response capabilities, user experience, and promoting the modernization of railway governance. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. 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.

[0052] The present invention provides a technical solution:

[0053] An intelligent monitoring system for railway safety environment management, the monitoring system comprising:

[0054] Environmental monitoring module: This module is responsible for monitoring the environmental conditions along the railway, mainly including environmental factors such as temperature, humidity, wind speed, and air quality;

[0055] Video monitoring module: This module monitors the situation along the railway in real time through cameras installed along the railway, and detects abnormal situations in time;

[0056] Data analysis and processing module: This module is responsible for receiving data from the environmental monitoring module and the video surveillance module, analyzing and processing the data, and identifying potential safety hazards;

[0057] Alarm and notification module: When the system detects potential safety hazards, this module will activate the alarm mechanism and send alarm information to relevant personnel via SMS, email or other communication methods;

[0058] Remote control module: This module allows managers to remotely control facilities along the railway, including turning on or off lighting equipment and adjusting air conditioning systems;

[0059] User interface: This interface provides users with an intuitive operation and information display platform, where users can view environmental monitoring data, video surveillance images, and received alarm information.

[0060] The steps of the environmental monitoring module are as follows:

[0061] Data collection: This step involves using various sensors and monitoring equipment to collect environmental data. The data includes environmental factors such as temperature, humidity, wind speed, air quality, etc.

[0062] Data transmission: The collected data needs to be transmitted to the data processing center by wireless or wired means, which involves data compression, encryption and transmission protocol;

[0063] Data analysis and processing: The data processing center will analyze and process the transmitted data to identify potential security risks, including steps such as data cleaning, integration, and statistical analysis.

[0064] The steps of the video surveillance module are as follows:

[0065] Video acquisition: The video surveillance module first needs to collect video information through camera devices, which are installed at specific monitoring points, including store entrances and street corners;

[0066] Video transmission: The collected video information needs to be transmitted to the monitoring center via wired or wireless means. In this process, the video signal compression and encryption processing will be involved to ensure the security and efficiency of the transmission process;

[0067] Video storage: Video information transmitted to the monitoring center will be stored in a database or storage device for later viewing and analysis. Storage methods include local storage and cloud storage.

[0068] Video display and analysis: The staff of the monitoring center can view real-time video information through the display, and can also play back and analyze the stored video to obtain more information;

[0069] Alarm and notification: When the monitoring system detects abnormal behavior or specific events, it will automatically trigger an alarm and notify relevant personnel via SMS, email, etc.

[0070] Remote access: Managers can access the surveillance system from anywhere via the Internet to view video information or perform operations.

[0071] The steps of data analysis and processing module are as follows:

[0072] Data collection: This step involves collecting data from various sources, such as sensors, log files, and databases;

[0073] Data cleaning: The collected data often contains noise and inaccurate information, and needs to be pre-processed through the data cleaning process, including removing duplicate data, correcting erroneous data, and filling in missing data;

[0074] Data analysis: This step is to conduct in-depth analysis of the cleaned data, including descriptive analysis, inferential analysis, and predictive analysis, which requires the use of statistical and machine learning methods;

[0075] Results presentation: Finally, the results of the analysis need to be presented in an understandable way to facilitate decision makers to make judgments and decisions.

[0076] The steps of the alarm and notification module are as follows:

[0077] Event detection: The monitoring system must first be able to detect the occurrence of abnormal events or specific conditions, which involves the analysis of video surveillance images, the recognition of sound signals, or environmental changes detected by sensors;

[0078] Alarm triggering: Once an abnormal event is detected, the monitoring system will trigger an alarm, and the process involves setting alarm rules;

[0079] Information processing: After the alarm is triggered, the system needs to process the alarm information, including confirmation, analysis and evaluation of the alarm information;

[0080] Notification sending: After processing the alarm information, the system will send the alarm information out. This process involves selecting the appropriate notification method and sending the alarm information to the relevant personnel or departments;

[0081] Response and processing: The person or department that receives the alarm information needs to respond to the alarm information and perform corresponding processing, including on-site inspection, problem solving, and system recovery;

[0082] Feedback and Recording: Finally, the person or department that handles the alarm information needs to feed back the processing results to the monitoring system, which will then record them for future query and analysis.

[0083] The steps for remote control module are as follows:

[0084] Establishing a connection: The remote control module must first establish a stable network connection with the target device or system, which involves a VPN tunnel, SSH connection, or other forms of network communication;

[0085] Authentication: To ensure security, authentication is required to ensure that only authorized users can perform remote control, including passwords, keys, and multi-factor authentication;

[0086] Send control commands: Once the connection is established and the authentication is completed, you can start sending control commands, such as starting or stopping services, modifying configurations, or executing specific scripts.

[0087] Execute control instructions: After receiving the control instructions, the target device or system will perform the corresponding operation, and the execution results may be fed back to the sender for further confirmation or adjustment;

[0088] Feedback result: After executing the control command, the target device or system will feedback the execution result to the sender, including success, failure, partial success and other information;

[0089] End the connection: After completing all required control operations, you can close the network connection to release resources.

[0090] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent monitoring system for railway safety environment management, characterized by: The monitoring system includes: Environmental monitoring module: This module is responsible for monitoring the environmental conditions along the railway, mainly including environmental factors such as temperature, humidity, wind speed, and air quality; Video monitoring module: This module monitors the situation along the railway in real time through cameras installed along the railway, and detects abnormal situations in time; Data analysis and processing module: This module is responsible for receiving data from the environmental monitoring module and the video surveillance module, analyzing and processing the data, and identifying potential safety hazards; Alarm and notification module: When the system detects potential safety hazards, this module will activate the alarm mechanism and send alarm information to relevant personnel via SMS, email or other communication methods; Remote control module: This module allows managers to remotely control facilities along the railway, including turning on or off lighting equipment and adjusting air conditioning systems; User interface: This interface provides users with an intuitive operation and information display platform, where users can view environmental monitoring data, video surveillance images, and received alarm information.

2. According to claim 1, the intelligent monitoring system for railway safety environment management is characterized by: The steps of the environmental monitoring module are as follows: Data collection: This step involves using various sensors and monitoring equipment to collect environmental data. The data includes environmental factors such as temperature, humidity, wind speed, air quality, etc. Data transmission: The collected data needs to be transmitted to the data processing center by wireless or wired means, which involves data compression, encryption and transmission protocol; Data analysis and processing: The data processing center will analyze and process the transmitted data to identify potential security risks, including steps such as data cleaning, integration, and statistical analysis.

3. The intelligent monitoring system for railway safety environment management according to claim 1 is characterized by: The steps of the video surveillance module are as follows: Video acquisition: The video surveillance module first needs to collect video information through camera devices, which are installed at specific monitoring points, including store entrances and street corners; Video transmission: The collected video information needs to be transmitted to the monitoring center via wired or wireless means. In this process, the video signal compression and encryption processing will be involved to ensure the security and efficiency of the transmission process; Video storage: Video information transmitted to the monitoring center will be stored in a database or storage device for later viewing and analysis. Storage methods include local storage and cloud storage. Video display and analysis: The staff of the monitoring center can view real-time video information through the display, and can also play back and analyze the stored video to obtain more information; Alarm and notification: When the monitoring system detects abnormal behavior or specific events, it will automatically trigger an alarm and notify relevant personnel via SMS, email, etc. Remote access: Managers can access the surveillance system from anywhere via the Internet to view video information or perform operations.

4. The intelligent monitoring system for railway safety environment management according to claim 1 is characterized by: The steps of data analysis and processing module are as follows: Data collection: This step involves collecting data from various sources, such as sensors, log files, and databases; Data cleaning: The collected data often contains noise and inaccurate information, and needs to be pre-processed through the data cleaning process, including removing duplicate data, correcting erroneous data, and filling in missing data; Data analysis: This step is to conduct in-depth analysis of the cleaned data, including descriptive analysis, inferential analysis, and predictive analysis, which requires the use of statistical and machine learning methods; Results presentation: Finally, the results of the analysis need to be presented in an understandable way to facilitate decision makers to make judgments and decisions.

5. The intelligent monitoring system for railway safety environment management according to claim 1 is characterized by: The steps of the alarm and notification module are as follows: Event detection: The monitoring system must first be able to detect the occurrence of abnormal events or specific conditions, which involves the analysis of video surveillance images, the recognition of sound signals, or environmental changes detected by sensors; Alarm triggering: Once an abnormal event is detected, the monitoring system will trigger an alarm, and the process involves setting alarm rules; Information processing: After the alarm is triggered, the system needs to process the alarm information, including confirmation, analysis and evaluation of the alarm information; Notification sending: After processing the alarm information, the system will send the alarm information out. This process involves selecting the appropriate notification method and sending the alarm information to the relevant personnel or departments; Response and processing: The person or department that receives the alarm information needs to respond to the alarm information and perform corresponding processing, including on-site inspection, problem solving, and system recovery; Feedback and Recording: Finally, the person or department that handles the alarm information needs to feed back the processing results to the monitoring system, which will then record them for future query and analysis.

6. The intelligent monitoring system for railway safety environment management according to claim 1 is characterized by: The steps for remote control module are as follows: Establishing a connection: The remote control module must first establish a stable network connection with the target device or system, which involves a VPN tunnel, SSH connection, or other forms of network communication; Authentication: To ensure security, authentication is required to ensure that only authorized users can perform remote control, including passwords, keys, and multi-factor authentication; Send control commands: Once the connection is established and the authentication is completed, you can start sending control commands, such as starting or stopping services, modifying configurations, or executing specific scripts. Execute control instructions: After receiving the control instructions, the target device or system will perform the corresponding operation, and the execution results may be fed back to the sender for further confirmation or adjustment; Feedback result: After executing the control command, the target device or system will feedback the execution result to the sender, including success, failure, partial success and other information; End the connection: After completing all required control operations, you can close the network connection to release resources.