Visual interactive platform for tunnel

Abstract

This invention relates to the field of tunnel monitoring, specifically to a visual interactive platform for tunnels, comprising: a data transmission subsystem receiving various monitoring information from multiple tunnels; a data processing subsystem analyzing the monitoring information to obtain tunnel anomaly information, which is then displayed by a display subsystem; an interaction subsystem triggering the generation of an interaction signal and sending it to the data processing subsystem; the data processing subsystem sending a display signal indicating the tunnel's display mode to the display subsystem based on the interaction signal; and upon receiving tunnel anomaly information, first determining whether the anomaly information corresponds to the number of tunnels in the display mode corresponding to the interaction signal; if the anomaly information corresponds to the number of tunnels in the display mode, the data processing subsystem sends a display signal to the display subsystem; otherwise, if the anomaly information does not correspond to the number of tunnels in the display mode, the data processing subsystem sends a switching signal to the display subsystem. This invention accurately, intuitively, and promptly displays tunnel monitoring information, improving monitoring and management efficiency.

Description

Technical Field

[0001] This invention relates to the field of tunnel monitoring, and more specifically to a tunnel visualization and interactive platform. Background Technology

[0002] With rapid economic development, the number of road tunnels is increasing daily. The construction of road tunnels has greatly shortened the travel distance between different regions and improved traffic efficiency. However, due to their enclosed nature and low light levels, accidents such as collisions and fires inside tunnels are difficult to observe immediately, which can exacerbate such incidents. Therefore, monitoring and management within tunnels are crucial for safe passage.

[0003] Patent document CN104267704A discloses a tunnel monitoring system for tunnel monitoring and management. The system includes a main monitoring station layer, a field monitoring layer, and a communication system. The main monitoring station layer serves as the dispatch and command center for the tunnel monitoring system, responsible for the remote monitoring, control, dispatch, and management of electromechanical equipment in tunnels or tunnel groups along the railway line. The communication system forms the foundation of the tunnel monitoring system. The field monitoring layer completes field data acquisition, executes various automatic control tasks, and communicates with the main monitoring station layer to perform remote monitoring and control functions. The field monitoring layer is connected to the main monitoring station layer through the communication system. The system enables centralized monitoring, fault alarm, and dispatch management of power facilities, lighting / emergency lighting equipment, fans, water supply and drainage facilities, fire doors, etc., within the tunnel. In the event of a disaster, it can link with other automated systems and output automatic control based on pre-generated disaster plans to achieve disaster prevention and mitigation, ensuring the safe operation of trains.

[0004] However, during the monitoring process of the above system, the corresponding characteristics can only be identified and monitored after the disaster occurs, and then dispatch and management can be carried out. However, the monitoring content of multiple tunnels is displayed in a single way, which makes it impossible to display the monitored anomalies in a timely manner, which is not convenient for dispatch and management and causes the disaster to worsen. Moreover, for the monitoring of multiple tunnels, there are too many monitoring targets, making it impossible to monitor anomalies in a timely manner. Summary of the Invention

[0005] The present invention aims to provide a visual interactive platform for tunnels to solve the problem of displaying anomalies detected by multiple monitoring targets in multiple tunnels.

[0006] The tunnel visualization and interactive platform in this solution includes a data transmission subsystem, a data processing subsystem, and a display subsystem:

[0007] The data transmission subsystem receives various monitoring information from multiple tunnels and transmits it to the data processing subsystem.

[0008] The data processing subsystem analyzes the received monitoring information to obtain tunnel anomaly information, and sends the monitoring information and tunnel anomaly information to the display subsystem for display and early warning for each tunnel.

[0009] It also includes: an interaction subsystem that triggers the generation of interaction signals and sends them to the data processing subsystem;

[0010] The data processing subsystem sends one or more display signals for tunnel display mode to the display subsystem based on the interaction signals;

[0011] When tunnel anomaly information is received, first determine whether the tunnel anomaly information corresponds to the number of tunnels in the interactive signal display mode;

[0012] If the tunnel anomaly information is determined to be the number of tunnels displayed in the interactive signal's display mode, the data processing subsystem sends a display signal to the display subsystem, which then displays the tunnel anomaly information according to the display mode corresponding to the interactive signal. If the tunnel anomaly information is determined not to be the number of tunnels displayed in the interactive signal's display mode, the data processing subsystem sends a switching signal to the display subsystem, which then displays the tunnel anomaly information according to the display mode corresponding to the tunnel in the interactive signal's display mode.

[0013] The beneficial effects of this plan are:

[0014] The platform of this solution judges the received monitoring information for tunnel anomalies, then determines whether interactive information has been received, and combines the interactive information and tunnel anomaly information to display the information in an appropriate manner. In the process of simultaneously monitoring anomalies in multiple tunnels, it can determine the most suitable way to display information, accurately, intuitively and timely displaying tunnel monitoring information, improving monitoring and management efficiency, and reducing the manual cost of monitoring and management.

[0015] Due to the low lighting conditions and limited monitoring equipment in tunnels, detecting tunnel anomalies is difficult. Furthermore, the distance between tunnels and the backend interactive platform reduces the stability and accuracy of signal transmission, further complicating anomaly identification based on acquired monitoring information. Without automatic intelligent display of tunnel anomaly information, detected anomalies are easily overlooked. Therefore, the automatic determination of the most suitable display method for tunnel anomaly information in this solution is essential. Compared to existing methods that directly issue warnings upon detecting anomalies, this solution can display multiple anomalies from multiple tunnels simultaneously using the most appropriate method, enabling rapid and accurate detection of anomalies in multiple tunnels and facilitating subsequent scheduling and management of multiple tunnels.

[0016] Furthermore, the display methods include multi-tunnel single-screen display, single-tunnel single-screen display, and single-tunnel multi-screen display. If it is determined that the tunnel abnormality information is not the number of tunnels in the display method corresponding to the interaction signal, the data processing subsystem first determines whether the tunnel abnormality information is an abnormality in multiple locations. If so, the data processing subsystem sends a switching signal for single-tunnel multi-screen display; if not, the data processing subsystem sends a switching signal for single-tunnel single-screen display.

[0017] The beneficial effects are: based on the interactive signals, different display methods can be used to detect tunnel anomalies, allowing tunnel management to quickly reach the relevant personnel and improve response speed.

[0018] Furthermore, when tunnel anomaly information is received but no interaction signal is received, the data processing subsystem determines whether the number of tunnels corresponding to the tunnel anomaly information is a single one. If the number of tunnels is a single one, the data processing subsystem then determines whether the tunnel anomaly information is an anomaly at multiple locations.

[0019] When an anomaly occurs at multiple locations, the data processing subsystem sends a switching signal for multi-screen display in a tunnel; when an anomaly occurs at a single location, the data processing subsystem sends a switching signal for single-screen display in a tunnel.

[0020] The beneficial effects are: when not displayed in an interactive way, the number of tunnels and the corresponding number of abnormal locations are determined, and different display methods are used accordingly, so that tunnel abnormalities under different conditions can be accurately displayed, and the abnormal situation can be seen quickly and intuitively.

[0021] Furthermore, when there are multiple tunnels, the data processing subsystem sequentially determines whether the tunnel anomaly information of each tunnel is an anomaly in multiple locations. When the tunnel anomaly information of each tunnel is an anomaly in a single location, the data processing subsystem sends a display mode signal for multi-tunnel one-screen display to the display subsystem.

[0022] When any tunnel in a series of tunnels has anomalies in multiple locations, the data processing subsystem sends a sequence signal to the display subsystem to display each anomaly information of each tunnel on a separate screen in that order, until an interaction signal is received before the display subsystem changes the sequence.

[0023] The beneficial effects are: for multiple tunnels with abnormalities detected by monitoring, it can be determined whether the number of abnormalities in each tunnel is single or multiple. If all are single, the multiple tunnels are displayed on one screen, allowing for quick and accurate viewing of the status of multiple tunnels for precise and timely scheduling and management. If there are multiple abnormalities, each abnormality of each tunnel is displayed sequentially, clearly and intuitively showing the different abnormalities of each tunnel, avoiding confusion between multiple tunnel abnormalities. Furthermore, if the manager has not yet discovered the tunnel abnormality, the sequential display can also alert the manager that a tunnel abnormality has occurred.

[0024] Furthermore, the data processing subsystem first determines the information type based on the tunnel anomaly information, and then determines the number of tunnels based on the number of information types.

[0025] Furthermore, when the number of tunnels is not single, the data processing subsystem determines whether the information type is caused by the same anomaly. When the information type is caused by the same anomaly, the data processing subsystem treats all information types caused by the same anomaly as one anomaly.

[0026] The beneficial effect is that when multiple tunnels detect anomalies, by judging whether the information type is caused by the same anomaly, the information in the tunnel anomaly information that can be repeatedly judged can be identified, thus improving the accuracy of judgments based on different display methods.

[0027] Furthermore, when tunnel anomaly information is obtained, the data processing subsystem extracts the monitoring information within the associated range within a preset time period before the tunnel anomaly information is obtained, and sends it to the display subsystem for associated display.

[0028] The beneficial effects are: when abnormal information is detected in the tunnel, related monitoring information is captured and displayed together to provide an intuitive and quick basis for viewing and analyzing the anomaly, thereby improving the speed of rapid response and dispatch management when anomalies are detected in the tunnel.

[0029] Furthermore, the data processing subsystem determines the anomaly type of the tunnel anomaly information. The anomaly types include sudden and cumulative. When the anomaly type is sudden, the data processing subsystem determines a preset duration of ten minutes. When the anomaly type is cumulative, the data processing subsystem determines a preset duration of twenty minutes.

[0030] The beneficial effects are: to determine the anomaly type of tunnel anomaly information, and to extract monitoring information within different time periods according to the anomaly type, thereby increasing the probability of extracting information such as events and factors that cause anomalies from the monitoring information.

[0031] Furthermore, when the anomaly type is cumulative, the data processing subsystem determines the accumulation rate of the anomaly and determines the accumulation duration based on the accumulation rate. Within the accumulation duration, monitoring information is captured at preset intervals.

[0032] The beneficial effects are: when the anomaly type is cumulative, the accumulation rate of the anomaly is judged, the accumulation duration is determined based on the accumulation rate, and monitoring information is intercepted for a preset duration at equal intervals within the accumulation duration, thereby increasing the scope of information interception and providing reliable and accurate basis information for subsequent anomaly analysis, processing, and scheduling.

[0033] Furthermore, the data processing subsystem identifies the location of accumulated monitoring information within a preset time interval after equal intervals, and sends the accumulated location to the display subsystem for display.

[0034] The beneficial effects are: identifying the accumulation direction in monitoring information, such as rainwater accumulating towards the center, and displaying the accumulation direction, which can quickly locate the abnormal location during subsequent anomaly analysis and management, so as to carry out precise and rapid scheduling and management. Attached Figure Description

[0035] Figure 1 This is a schematic block diagram of an embodiment of the visualization and interactive platform for tunnels of the present invention. Detailed Implementation

[0036] The following detailed description provides further details on specific implementation methods.

[0037] Example 1

[0038] Tunnel visualization and interactive platform, such as Figure 1 As shown: It includes a data transmission subsystem, a data processing subsystem, a display subsystem, and an interaction subsystem. The data transmission subsystem is connected to the data processing subsystem, the data processing subsystem is connected to the display subsystem, and the interaction subsystem is connected to the data processing subsystem.

[0039] The data transmission subsystem receives various monitoring information from multiple tunnels and transmits it to the data processing subsystem. The monitoring information includes monitoring images, smoke concentration, dust concentration, temperature value, and water level value. The data transmission subsystem includes receivers or receiving ports that receive monitoring data from various sensors and cameras in the tunnel, such as network wireless receivers, smoke sensors, dust sensors, temperature sensors, water level gauges, and cameras.

[0040] The interaction subsystem triggers the generation of interaction signals and sends them to the data processing subsystem. The interaction subsystem includes several input buttons, and each input button corresponds to a different interaction signal.

[0041] The data processing subsystem includes an analysis module, an identification module, and a judgment module. The data processing subsystem analyzes the received monitoring information to obtain tunnel anomaly information. It performs threshold comparisons on the monitoring information to determine anomalies and identifies anomalies in the monitoring images. For example, the analysis module compares water level values ​​with depth thresholds and smoke concentration with smoke thresholds. The identification module uses image recognition algorithms to identify traffic accidents in the monitoring images. Tunnel anomaly information is the anomaly result obtained from the analysis, such as water level values ​​exceeding depth thresholds, smoke concentration exceeding smoke thresholds, or the identification of traffic accidents. The data processing subsystem sends the monitoring information and tunnel anomaly information for each tunnel to the display subsystem for display and early warning. The display subsystem displays the tunnel anomaly information.

[0042] The data processing subsystem sends one or more tunnel display signals to the display subsystem based on the interaction signals. The display modes include multi-tunnel single-screen display, single-tunnel single-screen display, and single-tunnel multi-screen display. The display subsystem can set up three display screens to display different modes. Multi-tunnel single-screen display means that the monitoring information of multiple tunnels is displayed on a single screen formed by the three display screens. Single-tunnel single-screen display means that the monitoring information of one monitoring point in one tunnel is displayed on a single screen formed by the three display screens. Single-tunnel multi-screen display means that the monitoring information of multiple monitoring points in one tunnel is displayed on a single screen formed by the three display screens.

[0043] When tunnel anomaly information is received, the judgment module of the data processing subsystem first determines whether the tunnel anomaly information corresponds to the number of tunnels in the display mode corresponding to the interaction signal. For example, if the display mode corresponding to the interaction signal is one tunnel per screen, and the tunnel anomaly information is multiple tunnels with anomalies at the same time, then the tunnel anomaly information is not the number of tunnels in the display mode corresponding to the interaction signal. When the display mode corresponding to the interaction signal is one tunnel per screen, and the tunnel anomaly information is multiple anomalies in a certain tunnel, and the corresponding anomaly information can be displayed simultaneously, then the tunnel anomaly information is the number of tunnels in the display mode corresponding to the interaction signal.

[0044] If the tunnel anomaly information is determined to be the number of tunnels displayed in the interactive signal's display mode, the data processing subsystem's judgment module sends a display signal to the display subsystem, which then displays the tunnel anomaly information according to the display mode corresponding to the interactive signal. If the tunnel anomaly information is determined not to be the number of tunnels displayed in the interactive signal's display mode, the data processing subsystem sends a switching signal to the display subsystem, which then displays the tunnel anomaly information according to the display mode corresponding to the tunnel. Specifically, the data processing subsystem's judgment module first determines whether the tunnel anomaly information involves multiple locations. The judgment module determines whether the tunnel anomaly information is caused by the same factor. For example, a car accident anomaly and a water level exceeding a depth threshold are not caused by the same factor, i.e., multiple locations. If so, the data processing subsystem sends a switching signal for multi-screen display of one tunnel; otherwise, it sends a switching signal for single-screen display of one tunnel.

[0045] When a tunnel anomaly is received but no interaction signal is received, the judgment module of the data processing subsystem determines whether the tunnel number corresponding to the tunnel anomaly is single. The judgment module determines whether the information belongs to the same tunnel by receiving the identifier corresponding to the monitoring information. When the tunnel number is single, the judgment module of the data processing subsystem further determines whether the tunnel anomaly is caused by multiple locations. When it is caused by multiple locations, the judgment module of the data processing subsystem sends a switching signal for multi-screen display of one tunnel to the display subsystem. When it is caused by a single location, the data processing subsystem sends a switching signal for single-screen display of one tunnel to the display subsystem. When there are multiple tunnels, the judgment module of the data processing subsystem sequentially determines whether the tunnel anomaly information of each tunnel is caused by multiple locations. When the tunnel anomaly information of each tunnel is caused by a single location, the judgment module of the data processing subsystem sends a display mode signal for multi-tunnel single-screen display to the display subsystem. When the tunnel anomaly information of any tunnel has multiple locations, the judgment module of the data processing subsystem sends a sequence signal for displaying each anomaly information of each tunnel sequentially on a single screen, until an interaction signal is received, at which point the display mode is changed.

[0046] When determining the number of tunnels based on monitoring information, the judgment module of the data processing subsystem first determines the information type based on the tunnel anomaly information, and then determines the number of tunnels based on the types and quantities of information types. The information type is the type of anomaly represented by the monitoring information. For example, the information type of smoke concentration is fire, the information type of temperature value is fire, the information type of water level value is rainstorm, and the information type of monitoring image is traffic accident.

[0047] The specific implementation process is as follows:

[0048] During tunnel monitoring, the data transmission subsystem receives monitoring information from various sensor devices at the tunnel's front end and sends it to the data processing subsystem. The data processing subsystem analyzes the received monitoring information to identify tunnel anomalies. Simultaneously, if the monitoring content needs to be displayed according to the required method, the data processing subsystem obtains interaction signals from the interaction subsystem.

[0049] When tunnel anomaly information is received, the data processing subsystem first determines whether the tunnel anomaly information corresponds to the number of tunnels in the interactive signal display mode.

[0050] If the tunnel anomaly information is determined to be the number of tunnels corresponding to the interactive signal's display mode, the data processing subsystem sends a display signal to the display subsystem, instructing the display subsystem to display the tunnel anomaly information according to the display mode corresponding to the interactive signal. If the tunnel anomaly information is determined not to be the number of tunnels corresponding to the interactive signal's display mode, the subsystem first determines whether the tunnel anomaly information is an anomaly in multiple locations. If so, the data processing subsystem sends a switching signal for multi-screen display of one tunnel; otherwise, the data processing subsystem sends a switching signal for single-screen display of one tunnel, instructing the display subsystem to display the information according to the display mode corresponding to the tunnel with the tunnel anomaly information.

[0051] When a tunnel anomaly is received but no interaction signal is received, the data processing subsystem determines whether the tunnel number corresponding to the tunnel anomaly is a single tunnel.

[0052] When the tunnel is a single location, the data processing subsystem further determines whether the tunnel anomaly information pertains to multiple locations. If the tunnel anomaly information pertains to multiple locations, the data processing subsystem sends a switching signal for multi-screen display of one tunnel to the display subsystem. If the tunnel anomaly information per location is a single location, the data processing subsystem sends a switching signal for single-screen display of one tunnel to the display subsystem.

[0053] When there are multiple tunnels, the data processing subsystem sequentially determines whether the tunnel anomaly information of each tunnel has multiple locations of anomaly. When the tunnel anomaly information of each tunnel has a single location of anomaly, the data processing subsystem sends a display mode signal for multi-tunnel one-screen display to the display subsystem. When the tunnel anomaly information of any tunnel has multiple locations of anomaly, the data processing subsystem sends a sequence signal for displaying each anomaly information of each tunnel in sequence to the display subsystem for one tunnel one-screen display, until an interaction signal is received and then the display subsystem changes.

[0054] This embodiment determines the tunnel anomaly information from the received monitoring information, then checks whether interactive information has been received. Combining the interactive information and the tunnel anomaly information, it displays the information in an appropriate manner. This allows for the assessment of the number of anomalies in each tunnel during simultaneous monitoring of multiple tunnels, determining the most suitable display method under different interactive conditions. This amplifies the display of tunnel anomaly information, facilitating rapid retrieval of tunnel anomaly conditions from the monitoring data. The goal is to display tunnel monitoring information accurately, intuitively, and promptly, improving monitoring management efficiency, reducing manual costs, and enabling rapid, timely, and accurate subsequent dispatching based on tunnel anomalies.

[0055] Example 2

[0056] The tunnel visualization interactive platform differs from Implementation Example 1 in that, when the number of tunnels is not singular, the judgment module of the data processing subsystem determines whether the information type is caused by the same anomaly. If the information type is caused by the same anomaly, the judgment module treats all information types caused by the same anomaly as a single anomaly, such as anomalies in temperature and smoke concentration caused simultaneously by a fire anomaly. This removes information that can be repeatedly judged as anomalies, reducing the repetition rate by 30% and improving the accuracy of the displayed anomaly results.

[0057] Example 3

[0058] The tunnel visualization and interactive platform differs from Embodiment 1 in that the data processing subsystem also includes an interception module. When the data processing subsystem receives tunnel anomaly information, the interception module intercepts monitoring information within a preset time range associated with the anomaly information and sends it to the display subsystem for correlation display. The correlation range is the area affected by the tunnel anomaly information. For example, when the water level is greater than the depth threshold, the correlation range is within 100 meters in the downhill direction of the tunnel; when a traffic accident occurs, the correlation range is within 150 meters before and after the anomaly; and when the smoke concentration is greater than the smoke threshold, the correlation range is within 300 meters in the driving direction of the tunnel. By setting the correlation range value during correlation display, the amount of data traced is minimized while ensuring accurate tracing of historical situations in anomaly cases. This guarantees the accuracy of the correlation display information, provides reliable information reference for subsequent anomaly-based scheduling management, and improves the efficiency of subsequent scheduling management.

[0059] The judgment module of the data processing subsystem determines the anomaly type of tunnel anomaly information. The anomaly types include sudden and cumulative. The anomaly type is determined by the time elapsed from the occurrence of the anomaly to a preset severity level. For example, the time from a car accident to the stopping of the vehicle and injury is approximately 8 minutes; the time from a fire to the fire spreading to a depth of more than 10 meters is approximately 10 minutes; and the time from rain to water accumulation reaching a depth of more than 20 centimeters is approximately 40 minutes. Therefore, car accidents and fires are considered sudden anomalies, while water accumulation is considered a cumulative anomaly. The judgment module of the data processing subsystem sets a preset time of 10 minutes for sudden anomalies and 20 minutes for cumulative anomalies. By determining the anomaly type based on the time elapsed from the occurrence of the anomaly to a certain severity level, and by determining the preset time for intercepting monitoring information within the associated range based on the anomaly detection system, the system can intercept information causing the anomaly at the time of occurrence, accurately trace the cause of the anomaly or the real-time situation of its occurrence, improve the speed and efficiency of anomaly-related scheduling and management, and increase the response speed of scheduling and management.

[0060] This embodiment extracts and displays related monitoring information, determines the anomaly type of tunnel anomaly information, and extracts monitoring information within different time periods based on the anomaly type. This provides an intuitive and quick basis for viewing and analyzing anomalies, improving the speed of rapid response and scheduling management when anomalies are detected in the tunnel, and increasing the probability of extracting information such as events and factors that cause anomalies from the monitoring information.

[0061] Example 4

[0062] The tunnel visualization interactive platform differs from Embodiment 3 in that, when the anomaly type is accumulative, the judgment module of the data processing subsystem determines the accumulation rate of the anomaly and determines the accumulation duration based on the accumulation rate. The accumulation rate is set according to the amount of the corresponding factor accumulated per unit time. The faster the accumulation rate, the shorter the accumulation duration. For example, if dust accumulates 6 grams in one hour, the accumulation duration is 30 days; if water accumulates 100 millimeters in one hour, the accumulation duration can be set to 1.5 hours. Within the accumulation duration, monitoring information is captured at preset intervals. The intervals are set according to the accumulation duration and are twice the preset duration. The longer the accumulation duration, the larger the intervals. For example, within a 30-day accumulation duration, monitoring information on dust accumulation is captured at 10-minute preset intervals every 20 minutes; within a 1.5-hour accumulation duration, water accumulation information is captured at 3-minute preset intervals every 6 minutes. For cumulative anomalies, the accumulation duration is determined based on the accumulation rate, and then information is extracted at preset intervals for a significantly reduced amount of data. Different data extraction methods can be applied based on different accumulation patterns, increasing the probability of identifying the cause of the anomaly while minimizing the amount of data extracted. The data processing subsystem identifies the accumulation direction of monitoring information within the preset time intervals and sends this location to the display subsystem for presentation. For example, accumulation directions might resemble dust or debris converging towards the direction of vehicles traveling inside the tunnel.

[0063] This embodiment determines the accumulation rate of an anomaly when the anomaly type is accumulative, determines the accumulation duration based on the accumulation rate, and extracts monitoring information for a preset duration at equal intervals within the accumulation duration. It also identifies the accumulation direction in the monitoring information, such as rainwater accumulating towards the center, and displays the accumulation direction, increasing the range of information extraction. This provides reliable and accurate information for subsequent anomaly analysis, processing, and scheduling, enabling rapid location of anomalies during subsequent anomaly analysis, processing, and management, thus facilitating accurate and rapid scheduling and management.

[0064] The above descriptions are merely embodiments of the present invention, and common knowledge regarding specific structures and characteristics is not elaborated upon here. It should be noted that those skilled in the art can make various modifications and improvements without departing from the structure of the present invention, and these should also be considered within the scope of protection of the present invention. These modifications and improvements will not affect the effectiveness of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A visualization and interactive platform for tunnels, comprising a data transmission subsystem, a data processing subsystem, and a display subsystem: The data transmission subsystem receives various monitoring information from multiple tunnels and transmits it to the data processing subsystem. The data processing subsystem analyzes the received monitoring information to obtain tunnel anomaly information, and sends the monitoring information and tunnel anomaly information to the display subsystem for display and early warning for each tunnel. Its features are: It also includes: an interaction subsystem that triggers the generation of interaction signals and sends them to the data processing subsystem; The data processing subsystem sends one or more display signals for tunnel display mode to the display subsystem based on the interaction signals; When tunnel anomaly information is received, first determine whether the tunnel anomaly information corresponds to the number of tunnels in the interactive signal display mode; If the tunnel anomaly information is determined to be the number of tunnels displayed in the interactive signal's display mode, the data processing subsystem sends a display signal to the display subsystem, which then displays the tunnel anomaly information according to the display mode corresponding to the interactive signal. If the tunnel anomaly information is determined not to be the number of tunnels displayed in the interactive signal's display mode, the data processing subsystem sends a switching signal to the display subsystem, which then displays the tunnel anomaly information according to the display mode corresponding to the tunnel. The display methods include multi-tunnel one-screen display, one-tunnel one-screen display, and one-tunnel multi-screen display. If it is determined that the tunnel abnormal information is not the number of tunnels in the display method corresponding to the interaction signal, the data processing subsystem first determines whether the tunnel abnormal information is an abnormality in multiple locations. If so, the data processing subsystem sends a switching signal for one-tunnel multi-screen display. If not, the data processing subsystem sends a switching signal for one-tunnel one-screen display. When a tunnel anomaly is received but no interaction signal is received, the data processing subsystem determines whether the tunnel number corresponding to the tunnel anomaly is a single one. If the tunnel number is a single one, the data processing subsystem then determines whether the tunnel anomaly is an anomaly at multiple locations. When an anomaly occurs at multiple locations, the data processing subsystem sends a switching signal for multi-screen display in a tunnel; when an anomaly occurs at a single location, the data processing subsystem sends a switching signal for single-screen display in a tunnel.

2. The tunnel visualization and interactive platform according to claim 1, characterized in that: When there are multiple tunnels, the data processing subsystem sequentially determines whether the tunnel anomaly information of each tunnel is an anomaly in multiple locations. When the tunnel anomaly information of each tunnel is an anomaly in a single location, the data processing subsystem sends a display mode signal for multi-tunnel one-screen display to the display subsystem. When any tunnel in a series of tunnels has anomalies in multiple locations, the data processing subsystem sends a sequence signal to the display subsystem to display each anomaly information of each tunnel on a separate screen in that order, until an interaction signal is received before the display subsystem changes the sequence.

3. The tunnel visualization and interactive platform according to claim 2, characterized in that: The data processing subsystem first determines the information type based on the tunnel anomaly information, and then determines the number of tunnels based on the types and quantities of information.

4. The tunnel visualization and interactive platform according to claim 3, characterized in that: When the number of tunnels is not single, the data processing subsystem determines whether the information type is caused by the same anomaly. When the information type is caused by the same anomaly, the data processing subsystem treats all information types caused by the same anomaly as one anomaly.

5. The tunnel visualization and interactive platform according to claim 1, characterized in that: When tunnel anomaly information is received, the data processing subsystem extracts the monitoring information within the associated range within a preset time period before the tunnel anomaly information is obtained, and sends it to the display subsystem for associated display.

6. A visualization and interactive platform for tunnels according to claim 5, characterized in that: The data processing subsystem determines the anomaly type of the tunnel anomaly information. The anomaly types include sudden and cumulative. When the anomaly type is sudden, the data processing subsystem determines a preset duration of ten minutes. When the anomaly type is cumulative, the data processing subsystem determines a preset duration of twenty minutes.

7. A visualization and interactive platform for tunnels according to claim 6, characterized in that: When the anomaly type is cumulative, the data processing subsystem determines the accumulation rate of the anomaly and determines the accumulation duration based on the accumulation rate. Within the accumulation duration, monitoring information is captured at preset intervals.

8. A visualization and interactive platform for tunnels according to claim 7, characterized in that: The data processing subsystem identifies the location of accumulated monitoring information within a preset time interval after equal intervals, and sends the accumulated location to the display subsystem for display.

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