CN118730216A - A method for real-time monitoring of bridges - Google Patents

Abstract

The present invention relates to the technical field of bridge health monitoring, and in particular to a method for real-time monitoring of bridges, including: monitoring vehicle flow, pressure, image and bridge amplitude; dividing vehicle flow into light vehicles and heavy vehicles; determining abnormal conditions according to vehicle flow and standards, and issuing corresponding alarms; determining bridge abnormalities in combination with vehicle flow and amplitude, and issuing inspection alarms; analyzing the duration of abnormal patterns, revising relevant standards and issuing traffic diversion or inspection alarms. The present invention can accurately distinguish the impact of light and heavy vehicles on bridges through multi-dimensional monitoring of real-time vehicle flow, pressure, image and amplitude on bridges, and promptly discover changes in abnormal vehicle flow and bridge amplitude. By combining data from different sensors, the system can effectively identify and correct abnormal conditions, effectively solving the problems of inaccurate monitoring results and untimely responses caused by poor data integrity due to a single monitoring method.

Description

A method for real-time monitoring of bridges

Technical Field

The present invention relates to the technical field of bridge health monitoring, and in particular to a method for real-time monitoring of bridges.

Background Art

As bridges age and traffic loads increase, traditional monitoring methods can no longer meet the needs of real-time and accurate assessment of bridge health. With the advancement of technology, especially in the fields of sensor technology, Internet of Things, big data analysis and artificial intelligence, more efficient and intelligent bridge monitoring is possible. In addition, the increasing public safety awareness and regulatory requirements have also promoted the development of this technology to ensure that bridges can operate safely under various environmental and load conditions.

The patent document with publication number CN113005892A discloses a bridge health monitoring system, which is provided with an electric slider, which can drive the device to move freely on the electric slide rail, so that the device can detect different positions of the bridge, thereby facilitating the device to improve the flexibility of the device, and at the same time, a cleaning brush is provided, which can sweep the electric slide rail back and forth under the action of the electric slider, thereby facilitating the prevention of dust or other pollutants from contaminating the electric slide rail, thereby facilitating the normal movement of the electric slider on the electric slide rail. However, this design has some potential disadvantages, such as the complexity of the mechanical system may lead to increased maintenance difficulty and cost, the precise alignment and smooth movement of the electric slide rail and the slider may require strict installation and adjustment, and the electric system has a continuous demand for power supply, and the reliance on batteries limits the application of the system in a power-free environment. At the same time, the cleaning brush needs to be replaced regularly, which increases the cost of long-term operation. The range of movement of the system is limited by the length of the slide rail, and it cannot cover all key areas of the bridge. Moreover, the durability and reliability of the entire system are also affected by harsh environmental conditions. In addition, the detected data is not real-time, and the reliance on manual analysis leads to untimely response to abnormal situations.

Summary of the invention

To this end, the present invention provides a method for real-time monitoring of bridges, so as to overcome the problems in the prior art of inaccurate monitoring results and untimely response caused by poor data integrity due to a single monitoring means.

To achieve the above object, the present invention provides a method for real-time monitoring of a bridge, comprising:

Monitor the real-time traffic flow, real-time pressure, real-time image and real-time bridge amplitude at the monitoring points on the bridge;

The real-time traffic flow is divided into the real-time light traffic flow and the real-time heavy traffic flow according to the real-time image and the real-time pressure;

Determine the abnormal traffic flow situation according to the real-time light vehicle flow, the real-time heavy vehicle flow and the preset standard flow, and determine the abnormal vehicle correction situation and the non-abnormal vehicle correction situation according to the difference between the abnormal traffic flow situation and the preset standard flow, and issue an alarm corresponding to the abnormal vehicle correction situation, or determine the abnormal bridge correction situation according to the abnormal traffic flow situation, the real-time bridge amplitude and the preset standard bridge amplitude, and issue an alarm corresponding to the abnormal bridge correction situation;

Determine the total abnormal traffic flow situation according to the real-time traffic flow when the non-abnormal vehicle correction situation occurs and the preset standard total traffic flow, and determine the abnormal mode according to the timestamp of the total abnormal traffic flow situation and the preset peak period, obtain the duration of the continuous abnormal mode, and make a judgment based on the obtained result, the preset standard duration, the real-time bridge amplitude and the standard bridge amplitude, and issue a traffic diversion alarm according to the judgment result, or issue an alarm for checking the bridge;

The number of continuous abnormal patterns during peak hours of preset days is obtained, and the standard bridge amplitude is corrected, or the standard flow rate is corrected, or the standard duration is corrected according to the obtained result and the preset standard quantity range.

Furthermore, determining the abnormal traffic flow situation according to the real-time light vehicle flow, the real-time heavy vehicle flow and the preset standard flow includes:

When the real-time light vehicle flow rate is greater than the standard flow rate or the real-time heavy vehicle flow rate is greater than the standard flow rate, it is determined that abnormal vehicle flow rate occurs.

Furthermore, determining the abnormal vehicle correction situation according to the abnormal vehicle flow situation and the preset standard flow difference, and issuing an alarm corresponding to the abnormal vehicle correction situation includes:

When the real-time light vehicle flow rate is greater than the standard flow rate, and the real-time heavy vehicle flow rate is less than or equal to the standard flow rate, the difference between the real-time light vehicle flow rate and the standard flow rate is calculated, and when the difference between the real-time light vehicle flow rate and the standard flow rate is greater than the standard flow rate difference, the abnormal vehicle correction situation is determined to be a traffic event correction situation, and an alarm for temporarily adjusting the traffic signal is issued based on the traffic event correction situation.

Further, when the real-time heavy vehicle flow is greater than the standard flow, and the real-time light vehicle flow is less than or equal to the standard flow, the difference between the real-time heavy vehicle flow and the standard flow is calculated, and when the difference between the real-time heavy vehicle flow and the standard flow is greater than the standard flow difference, the abnormal vehicle correction situation is determined to be a cargo transportation correction situation, and an alarm for bridge inspection and heavy vehicle traffic diversion is issued according to the cargo transportation correction situation;

When the real-time heavy vehicle flow rate and the real-time light vehicle flow rate are both greater than the standard flow rate, the difference between the real-time heavy vehicle flow rate and the standard flow rate is calculated, and the difference between the real-time light vehicle flow rate and the standard flow rate is calculated. When the difference between the real-time heavy vehicle flow rate and the standard flow rate and the difference between the real-time light vehicle flow rate and the standard flow rate are both greater than the standard flow rate difference, it is determined that the abnormal vehicle correction situation is a sudden correction situation, and an alarm is issued according to the sudden correction situation to urgently close the bridge and conduct an inspection;

When the difference between the real-time heavy vehicle flow rate and the standard flow rate and the difference between the real-time light vehicle flow rate and the standard flow rate are both smaller than the standard flow rate difference, it is determined that a non-abnormal vehicle correction situation occurs.

Furthermore, determining the abnormal bridge correction situation according to the abnormal traffic flow situation, the real-time bridge amplitude and the preset standard bridge amplitude, and issuing an alarm corresponding to the abnormal bridge correction situation includes:

When the real-time heavy vehicle flow rate is greater than the standard flow rate, the difference between the real-time heavy vehicle flow rate and the standard flow rate is calculated. When the difference between the real-time heavy vehicle flow rate and the standard flow rate is less than or equal to the standard flow difference, and the real-time bridge amplitude is greater than the standard bridge amplitude, the abnormal bridge correction situation is determined to be a heavy vehicle flow correction situation, and an alarm for heavy vehicle restriction measures is issued based on the heavy vehicle flow correction situation.

Further, the determining of the total abnormal vehicle flow situation according to the real-time vehicle flow when the non-abnormal vehicle correction situation occurs and the preset standard total vehicle flow situation includes:

When it is determined that a non-abnormal vehicle correction situation occurs, the situation where the real-time vehicle flow rate is greater than a preset standard total vehicle flow rate is determined as a total abnormal vehicle flow rate situation.

Further, determining that the abnormal mode of the total abnormal traffic flow situation with a timestamp within a preset peak period is a continuous abnormal mode;

When it is determined that the duration of the continuous abnormal mode is less than or equal to the preset standard duration, there is no need to issue an alarm.

Further, when the duration of the continuous abnormal mode is greater than the preset standard duration, and the absolute value of the real-time bridge amplitude is less than or equal to the absolute value of the preset standard bridge amplitude, an alarm for traffic diversion is issued;

When the duration of the continuous abnormal mode is greater than the standard duration and the absolute value of the real-time bridge amplitude is greater than the absolute value of the standard bridge amplitude, an alarm for checking the bridge is issued.

Further, when the number of continuous abnormal modes is greater than the maximum value of the preset standard number range, the difference between the number of continuous abnormal modes and the maximum value of the standard number range is calculated, and when it is determined that the difference between the number of continuous abnormal modes and the maximum value of the standard number range is less than the preset standard vibration difference, the standard bridge amplitude is reduced according to the preset adjustment coefficient;

When the number of continuous abnormal modes is less than the minimum value of the preset standard number range, the difference between the minimum value of the standard number range and the number of continuous abnormal modes is calculated, and when it is determined that the difference between the minimum value of the standard number range and the number of continuous abnormal modes is less than the preset standard vibration difference, the standard flow rate is increased according to the preset adjustment coefficient.

Further, when the difference between the number of continuous abnormal patterns and the maximum value of the standard number range is greater than a preset standard vibration difference, it is determined that the standard duration needs to be increased;

When the number of continuous abnormal patterns is less than the minimum value of a preset standard number range, it is determined that the standard duration needs to be reduced.

Compared with the prior art, the beneficial effect of the present invention is that, through multi-dimensional monitoring of real-time traffic flow, pressure, images and amplitude on the bridge, it is possible to accurately distinguish the impact of light and heavy vehicles on the bridge, and timely detect abnormal traffic flow and changes in bridge amplitude. By combining data from different sensors, the system can effectively identify and correct abnormal situations, provide timely warnings, and ensure the safety and durability of the bridge. In addition, the method can also dynamically adjust the monitoring standards according to abnormal patterns during peak hours, further improve the accuracy and reliability of monitoring, reduce the risk of bridge accidents, and extend the service life of the bridge, effectively solving the problems of inaccurate monitoring results and untimely responses caused by poor data integrity due to a single monitoring method.

Furthermore, through accurate anomaly detection, traffic management measures can be taken in a timely manner to reduce bridge loads and ensure the safety and stability of the bridge.

Furthermore, by identifying abnormal traffic flow caused by sudden traffic incidents, traffic signals can be adjusted in a timely manner to alleviate traffic pressure and ensure the safety of bridges and smooth traffic.

Furthermore, by accurately identifying abnormal traffic conditions caused by cargo transportation or emergencies, corresponding alarms can be issued in a timely manner and appropriate measures can be taken to ensure bridge safety and avoid possible structural damage and traffic accidents.

Furthermore, by timely issuing a restriction alarm when heavy vehicle flow exceeds the standard and the bridge amplitude increases, further pressure and damage to the bridge structure can be reduced, ensuring the safety and stability of the bridge.

Furthermore, by identifying abnormal bridge amplitude caused by excessive heavy vehicle flow, the passage of heavy vehicles can be restricted in a timely manner.

Furthermore, by determining whether it is a continuous abnormal mode, it is ensured that an alarm is issued only when the continuous abnormal mode exceeds a preset time threshold, avoiding overreaction to short-term abnormalities, thereby reducing unnecessary alarms.

Furthermore, when the amplitude is normal, traffic pressure is reduced by traffic diversion; when the amplitude is abnormal, an inspection alarm is issued in time to ensure the safety of the bridge and prevent risks caused by potential structural problems.

Furthermore, the adjustment mechanism can dynamically optimize the standard bridge amplitude and standard flow, adapt to changes in vehicle flow and bridge status, maintain bridge safety and improve the accuracy of traffic flow management. When there are too many or too few abnormal modes, the standard value can be adjusted to reflect the actual situation in a timely manner and optimize the management strategy of traffic and bridges.

Furthermore, a dynamic adjustment mechanism is used to ensure that the standard duration matches the actual bridge status, thereby improving the system's response sensitivity to abnormal modes. By increasing the duration when the number of abnormal modes exceeds expectations, more time can be provided for bridges and traffic systems to adjust and optimize; while reducing the duration when the number of abnormal modes is insufficient can help reduce unnecessary reactions caused by over-adjustment and improve the adaptability and stability of the system.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic diagram of a method for real-time monitoring of a bridge according to this embodiment;

FIG2 is a determination logic diagram for determining the total abnormal vehicle flow situation in this embodiment;

FIG3 is a determination logic diagram of the continuous abnormal mode according to the present embodiment;

FIG. 4 is a decision logic diagram for determining whether to issue an alarm in this embodiment.

DETAILED DESCRIPTION

In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

Please refer to FIG1 , which is a schematic diagram of a method for real-time monitoring of a bridge according to this embodiment;

This embodiment provides a method for real-time monitoring of a bridge, including:

Monitor the real-time traffic flow, real-time pressure, real-time image and real-time bridge amplitude at the monitoring point on the main beam of the bridge, wherein the real-time traffic flow is obtained through the traffic flow monitoring equipment at the monitoring point on the main beam of the bridge; the real-time image is obtained through the image sensor, which is installed above the bridge deck or slightly higher on the side of the bridge to avoid blind spots, and is used to capture the image of the vehicle passing through the monitoring point on the bridge in real time. The type of vehicle can be identified through a high-resolution camera; the real-time pressure is obtained through the pressure sensor installed at the monitoring point on the main beam of the bridge; the real-time bridge amplitude is obtained through the bridge amplitude sensor installed in the middle of the bridge and on the supporting beam of the bridge;

The real-time traffic flow is divided into the real-time light traffic flow and the real-time heavy traffic flow according to the real-time image and the real-time pressure;

Determine the abnormal traffic flow situation according to the real-time light vehicle flow, the real-time heavy vehicle flow and the preset standard flow, and determine the abnormal vehicle correction situation and the non-abnormal vehicle correction situation according to the difference between the abnormal traffic flow situation and the preset standard flow, and issue an alarm corresponding to the abnormal vehicle correction situation, or determine the abnormal bridge correction situation according to the abnormal traffic flow situation, the real-time bridge amplitude and the preset standard bridge amplitude, and issue an alarm corresponding to the abnormal bridge correction situation;

Determine the total abnormal traffic flow situation according to the real-time traffic flow when the non-abnormal vehicle correction situation occurs and the preset standard total traffic flow, and determine the abnormal mode according to the timestamp of the total abnormal traffic flow situation and the preset peak period, obtain the duration of the continuous abnormal mode, and make a judgment based on the obtained result, the preset standard duration, the real-time bridge amplitude and the standard bridge amplitude, and issue a traffic diversion alarm according to the judgment result, or issue an alarm for checking the bridge;

The number of continuous abnormal patterns during peak hours of preset days is obtained, and the standard bridge amplitude is corrected, or the standard flow rate is corrected, or the standard duration is corrected according to the obtained result and the preset standard quantity range.

Real-time light vehicle flow: The real-time flow of light vehicles at the monitoring point on the bridge depends on the traffic flow detection accuracy and license plate recognition technology of the monitoring equipment.

Real-time heavy vehicle flow: The real-time flow of heavy vehicles at the monitoring points on the bridge depends on the detection accuracy of the monitoring equipment and the heavy vehicle identification technology.

Abnormal traffic flow situation: The situation where the real-time traffic flow exceeds the preset standard flow, which depends on the comparison between the real-time flow and the standard flow.

Correction of non-abnormal vehicles: The traffic flow adjustment under normal traffic flow depends on the deviation between the real-time traffic flow and the standard traffic flow.

Preset standard bridge amplitude: The allowable amplitude of the bridge under normal circumstances depends on the bridge design and structural safety standards. It is usually set to a maximum allowable amplitude of ±5 mm for bridge design. In this embodiment, it is set to ±3 mm to improve the monitoring accuracy of bridge vibration.

Abnormal bridge correction situation: The correction measures when the bridge amplitude exceeds the standard depend on the difference between the actual amplitude and the standard amplitude. Usually set as the remedial measures when the amplitude exceeds the standard.

Preset standard total vehicle flow: The total vehicle flow standard at the monitoring point on the bridge depends on the bridge design flow and traffic flow expectations. It is usually set to a maximum vehicle flow of 200 vehicles per hour for the bridge design. This embodiment is set to 180 vehicles per hour to facilitate effective monitoring under actual traffic conditions.

Total abnormal traffic flow situation: the situation where the total traffic flow exceeds the preset standard, which is determined by the comparison between the real-time total traffic flow and the standard total traffic flow.

Abnormal pattern: A comprehensive pattern of the difference between abnormal traffic flow conditions and standard traffic flow, depending on the duration and pattern of the abnormal traffic flow.

Preset standard duration: defined as the duration of abnormal traffic flow or amplitude, which depends on the bridge design safety standards and traffic flow characteristics. It is usually set to 30 minutes. In this embodiment, it is set to 20 minutes to more quickly identify and respond to abnormal situations.

Peak hours of preset days: defined as the time period of peak traffic flow, which depends on the statistical analysis of traffic flow data. Usually, the peak time range is set to 2 hours in the morning and evening peak hours every day. In this embodiment, it is set to 1 hour in the morning and evening every day to adapt to the actual traffic peak situation.

Preset standard number range: defined as the allowed number of continuous abnormal patterns during peak hours, depending on traffic flow and bridge design standards. Usually set to 2 to 5 times during peak hours on preset days. This embodiment is set to 3 to 4 times to ensure monitoring within a reasonable range, avoid excessive false alarms and improve the accuracy of early warning.

The real-time traffic flow, pressure, image and amplitude data of key parts of the bridge are monitored by sensors installed on the bridge main beam, the middle of the bridge, the support beam and the bridge deck. First, the real-time traffic flow is divided into light traffic flow and heavy traffic flow using the data of the image sensor and the pressure sensor. Then, the abnormal traffic flow is determined based on the traffic flow data and the preset standard value, and the abnormal situation is corrected and alarmed by calculating the flow difference and bridge amplitude. When non-abnormal vehicle correction occurs, the total traffic flow data is analyzed to match the peak period to determine whether there is a continuous abnormal pattern, and the alarm for traffic diversion or bridge inspection is further issued based on the duration and bridge amplitude. Finally, the system also corrects the standard bridge amplitude, standard flow and standard duration according to the number of continuous abnormal patterns during peak hours.

Through multi-dimensional monitoring of real-time traffic flow, pressure, images and amplitude on the bridge, it is possible to accurately distinguish the impact of light and heavy vehicles on the bridge, and promptly detect changes in abnormal traffic flow and bridge amplitude. By combining data from different sensors, the system can effectively identify and correct abnormal situations, provide timely warnings, and ensure the safety and durability of the bridge. In addition, the method can dynamically adjust the monitoring standards according to abnormal patterns during peak hours, further improve the accuracy and reliability of monitoring, reduce the risk of bridge accidents, and extend the service life of the bridge, effectively solving the problems of inaccurate monitoring results and untimely responses caused by poor data integrity due to a single monitoring method.

Specifically, determining the abnormal traffic flow situation according to the real-time light vehicle flow, the real-time heavy vehicle flow and the preset standard flow includes:

When the real-time light vehicle flow rate is greater than the standard flow rate or the real-time heavy vehicle flow rate is greater than the standard flow rate, it is determined that abnormal vehicle flow rate occurs.

By monitoring the real-time light vehicle flow and real-time heavy vehicle flow, the system will determine that abnormal traffic flow conditions exist when these flows exceed the preset standard flow. This process involves comparing the real-time data with the standard flow and identifying the excess conditions.

Through accurate anomaly detection, traffic management measures can be taken in a timely manner to reduce bridge load and ensure the safety and stability of the bridge.

Specifically, determining the abnormal vehicle correction situation according to the abnormal vehicle flow situation and the preset standard flow difference, and issuing an alarm corresponding to the abnormal vehicle correction situation includes:

When the real-time light vehicle flow rate is greater than the standard flow rate, and the real-time heavy vehicle flow rate is less than or equal to the standard flow rate, the difference between the real-time light vehicle flow rate and the standard flow rate is calculated, and when the difference between the real-time light vehicle flow rate and the standard flow rate is greater than the standard flow rate difference, the abnormal vehicle correction situation is determined to be a traffic event correction situation, and an alarm for temporarily adjusting the traffic signal is issued based on the traffic event correction situation.

When the real-time light vehicle flow exceeds the standard flow, while the heavy vehicle flow is normal, the difference between the light vehicle flow and the standard flow is calculated. If this difference exceeds the preset threshold, it is determined to be abnormal vehicle flow caused by the traffic incident, and the corresponding traffic signal adjustment alarm is issued.

By identifying abnormal traffic flow caused by sudden traffic incidents, traffic signals can be adjusted in a timely manner to alleviate traffic pressure and ensure the safety of bridges and smooth traffic.

Specifically, when the real-time heavy vehicle flow is greater than the standard flow, and the real-time light vehicle flow is less than or equal to the standard flow, the difference between the real-time heavy vehicle flow and the standard flow is calculated, and when the difference between the real-time heavy vehicle flow and the standard flow is greater than the standard flow difference, the abnormal vehicle correction situation is determined to be a cargo transportation correction situation, and an alarm for bridge inspection and heavy vehicle traffic diversion is issued according to the cargo transportation correction situation;

When the real-time heavy vehicle flow rate and the real-time light vehicle flow rate are both greater than the standard flow rate, the difference between the real-time heavy vehicle flow rate and the standard flow rate is calculated, and the difference between the real-time light vehicle flow rate and the standard flow rate is calculated. When the difference between the real-time heavy vehicle flow rate and the standard flow rate and the difference between the real-time light vehicle flow rate and the standard flow rate are both greater than the standard flow rate difference, it is determined that the abnormal vehicle correction situation is a sudden correction situation, and an alarm is issued according to the sudden correction situation to urgently close the bridge and conduct an inspection;

When the difference between the real-time heavy vehicle flow rate and the standard flow rate and the difference between the real-time light vehicle flow rate and the standard flow rate are both smaller than the standard flow rate difference, it is determined that a non-abnormal vehicle correction situation occurs.

When the real-time heavy vehicle flow exceeds the standard flow and the light vehicle flow is normal, the difference between the heavy vehicle flow and the standard flow is calculated; if the difference exceeds the preset threshold, it is determined as a cargo transportation correction, and a bridge inspection and heavy vehicle traffic diversion alarm is issued. If both the real-time light vehicle flow and heavy vehicle flow exceed the standard, the difference between the two and the standard flow is calculated; if both the difference exceeds the standard, it is determined as an emergency correction, and an alarm is issued to close the bridge and inspect it. If both the difference does not exceed the standard, it is a non-abnormal vehicle correction.

By accurately identifying abnormal traffic conditions caused by cargo transportation or emergencies, corresponding alarms can be issued in a timely manner and appropriate measures can be taken to ensure bridge safety and avoid possible structural damage and traffic accidents.

Specifically, determining the abnormal bridge correction situation according to the abnormal traffic flow situation, the real-time bridge amplitude and the preset standard bridge amplitude, and issuing an alarm corresponding to the abnormal bridge correction situation includes:

When the real-time heavy vehicle flow rate is greater than the standard flow rate, the difference between the real-time heavy vehicle flow rate and the standard flow rate is calculated. When the difference between the real-time heavy vehicle flow rate and the standard flow rate is less than or equal to the standard flow difference, and the real-time bridge amplitude is greater than the standard bridge amplitude, the abnormal bridge correction situation is determined to be a heavy vehicle flow correction situation, and an alarm for heavy vehicle restriction measures is issued based on the heavy vehicle flow correction situation.

When the real-time heavy vehicle flow exceeds the standard flow, the difference between the real-time heavy vehicle flow and the standard flow is first calculated. If the difference is less than or equal to the standard flow difference, and the real-time bridge amplitude exceeds the standard bridge amplitude, it is determined to be a heavy vehicle flow correction. Based on this judgment, the system will issue an alarm for heavy vehicle restriction measures.

By issuing a restriction alarm in time when heavy vehicle flow exceeds the standard and bridge vibration increases, further pressure and damage to the bridge structure can be reduced, ensuring the safety and stability of the bridge.

Please continue to refer to FIG. 2 , which is a determination logic diagram for determining the total abnormal vehicle flow situation in this embodiment;

Specifically, determining the total abnormal vehicle flow situation according to the real-time vehicle flow when the non-abnormal vehicle correction situation occurs and the preset standard total vehicle flow situation includes:

When it is determined that a non-abnormal vehicle correction situation occurs, the situation where the real-time vehicle flow rate is greater than a preset standard total vehicle flow rate is determined as a total abnormal vehicle flow rate situation.

By identifying abnormal bridge amplitude caused by excessive heavy vehicle traffic, the passage of heavy vehicles can be restricted in a timely manner.

Please continue to refer to FIG. 3 , which is a determination logic diagram for determining a continuous abnormal mode in this embodiment;

Specifically, the abnormal pattern of the total abnormal traffic flow situation whose timestamp is within the preset peak period is determined to be a continuous abnormal pattern;

When it is determined that the duration of the continuous abnormal mode is less than or equal to the preset standard duration, there is no need to issue an alarm.

The timestamp is used to determine whether the total abnormal traffic flow is within the preset peak period, thereby determining whether it is a continuous abnormal mode. Next, the duration of the continuous abnormal mode is compared with the preset standard duration. If the duration is less than or equal to the standard duration, there is no need to issue an alarm.

By determining whether it is a continuous abnormal mode, it is ensured that an alarm will only be issued when the continuous abnormal mode exceeds the preset time threshold, avoiding overreaction to short-term abnormalities and thus reducing unnecessary alarms.

Please continue to refer to FIG. 4 , which is a decision logic diagram for determining the alarm of this embodiment;

Specifically, when the duration of the continuous abnormal mode is greater than the preset standard duration, and the absolute value of the real-time bridge amplitude is less than or equal to the absolute value of the preset standard bridge amplitude, an alarm for traffic diversion is issued;

When the duration of the continuous abnormal mode is greater than the standard duration and the absolute value of the real-time bridge amplitude is greater than the absolute value of the standard bridge amplitude, an alarm for checking the bridge is issued.

When the duration of the continuous abnormal mode exceeds the preset standard duration, the system will check the absolute value of the real-time bridge amplitude. If the absolute value of the real-time bridge amplitude is less than or equal to the absolute value of the standard bridge amplitude, an alarm for traffic diversion will be issued; if the absolute value of the real-time bridge amplitude is greater than the absolute value of the standard bridge amplitude, an alarm for bridge inspection will be issued.

When the amplitude is normal, traffic diversion is used to reduce traffic pressure; when the amplitude is abnormal, an inspection alarm is issued in a timely manner to ensure bridge safety and prevent risks caused by potential structural problems.

Specifically, when the number of continuous abnormal modes is greater than the maximum value of the preset standard number range, the difference between the number of continuous abnormal modes and the maximum value of the standard number range is calculated, and when it is determined that the difference between the number of continuous abnormal modes and the maximum value of the standard number range is less than the preset standard vibration difference, the standard bridge amplitude is reduced according to the preset adjustment coefficient;

When the number of continuous abnormal modes is less than the minimum value of the preset standard number range, the difference between the minimum value of the standard number range and the number of continuous abnormal modes is calculated, and when it is determined that the difference between the minimum value of the standard number range and the number of continuous abnormal modes is less than the preset standard vibration difference, the standard flow rate is increased according to the preset adjustment coefficient.

When the number of continuous abnormal modes exceeds the maximum value of the preset standard number range, the difference between it and the maximum value is calculated. If the difference is less than the preset standard vibration difference, the standard bridge amplitude is reduced according to the preset adjustment coefficient; when the number of continuous abnormal modes is lower than the minimum value of the preset standard number range, the difference between it and the minimum value is calculated. If the difference is less than the preset standard vibration difference, the standard flow is increased according to the preset adjustment coefficient.

By dynamically optimizing the standard bridge amplitude and standard flow, it can adapt to changes in vehicle flow and bridge status, maintain bridge safety and improve the accuracy of traffic flow management. When there are too many or too few abnormal modes, the standard value can be adjusted to reflect the actual situation in a timely manner and optimize the management strategy of traffic and bridges.

Specifically, when the difference between the number of continuous abnormal patterns and the maximum value of the standard number range is greater than a preset standard vibration difference, it is determined that the standard duration needs to be increased;

When the number of continuous abnormal patterns is less than the minimum value of a preset standard number range, it is determined that the standard duration needs to be reduced.

When the difference between the number of continuous abnormal patterns and the maximum value of the standard number range is greater than the preset standard vibration difference, the standard duration needs to be increased; when the number of continuous abnormal patterns is lower than the minimum value of the preset standard number range, the standard duration needs to be reduced.

The dynamic adjustment mechanism ensures that the standard duration matches the actual bridge status, thereby improving the system's response sensitivity to abnormal modes. By increasing the duration when the number of abnormal modes exceeds expectations, more time can be provided for bridges and traffic systems to adjust and optimize; and by reducing the duration when the number of abnormal modes is insufficient, it helps to reduce unnecessary reactions caused by over-adjustment and improve the adaptability and stability of the system.

So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims (10)

1. A method for real-time monitoring of a bridge, comprising:

Monitoring real-time traffic flow, real-time pressure, real-time images and real-time bridge amplitude at monitoring points on the bridge;

Dividing the real-time traffic flow into real-time light traffic flow and real-time heavy traffic flow according to the real-time image and the real-time pressure;

Determining abnormal traffic conditions according to the real-time light traffic, the real-time heavy traffic and the preset standard traffic, determining abnormal vehicle correction conditions and non-abnormal vehicle correction conditions according to the abnormal traffic conditions and the preset standard traffic difference, sending out an alarm corresponding to the abnormal vehicle correction conditions, or determining abnormal bridge correction conditions according to the abnormal traffic conditions, the real-time bridge amplitude and the preset standard bridge amplitude, and sending out an alarm corresponding to the abnormal bridge correction conditions;

Determining total abnormal traffic flow according to real-time traffic flow and preset standard total traffic flow when non-abnormal vehicle correction conditions are determined, judging an abnormal mode according to a time stamp of the total abnormal traffic flow and a preset peak time, acquiring duration time judged to be the duration abnormal mode, judging according to an acquired result, a preset standard duration time, real-time bridge amplitude and the standard bridge amplitude, and sending out a traffic diversion alarm according to a judging result or sending out a bridge inspection alarm;

And acquiring the number of continuous abnormal modes of the peak time of the preset days, judging according to the acquired result and the preset standard number range, and correcting the standard bridge amplitude, or correcting the standard flow, or correcting the standard duration according to the judging result.

2. The method for real-time monitoring of a bridge according to claim 1, wherein the determining abnormal traffic conditions according to the real-time light traffic, the real-time heavy traffic and the preset standard traffic comprises:

and when the real-time light traffic flow is larger than the standard flow or the real-time heavy traffic flow is larger than the standard flow, judging that abnormal traffic flow occurs.

3. The method for real-time monitoring of a bridge according to claim 2, wherein determining an abnormal vehicle correction condition according to the abnormal traffic condition and a preset standard traffic difference value, and issuing an alarm corresponding to the abnormal vehicle correction condition comprises:

When the real-time light traffic flow is larger than the standard flow and the real-time heavy traffic flow is smaller than or equal to the standard flow, calculating the difference between the real-time light traffic flow and the standard flow, and when the difference between the real-time light traffic flow and the standard flow is larger than the standard flow difference, judging that the abnormal vehicle correction condition is a traffic event correction condition, and sending an alarm for temporarily adjusting traffic signals according to the traffic event correction condition.

4. The method for real-time monitoring of a bridge according to claim 3, wherein when the real-time heavy vehicle flow is greater than the standard flow and the real-time light vehicle flow is less than or equal to the standard flow, calculating a difference between the real-time heavy vehicle flow and the standard flow, and when the difference between the real-time heavy vehicle flow and the standard flow is greater than the standard flow difference, determining that an abnormal vehicle correction condition is a cargo transportation correction condition, and sending an alarm for bridge inspection and heavy vehicle traffic diversion according to the cargo transportation correction condition;

Calculating the difference value between the real-time heavy vehicle flow and the standard flow when the real-time heavy vehicle flow and the real-time light vehicle flow are both larger than the standard flow, calculating the difference value between the real-time light vehicle flow and the standard flow, and judging that the abnormal vehicle correction situation is an emergency correction situation when the difference value between the real-time heavy vehicle flow and the standard flow and the difference value between the real-time light vehicle flow and the standard flow are both larger than the standard flow difference value, and sending an alarm for closing a bridge and checking in an emergency according to the emergency correction situation;

And judging that the non-abnormal vehicle correction condition occurs when the difference value between the real-time heavy vehicle flow and the standard flow and the difference value between the real-time light vehicle flow and the standard flow are smaller than the standard flow difference value.

5. The method for real-time monitoring of a bridge according to claim 4, wherein determining an abnormal bridge correction condition according to the abnormal traffic flow condition, the real-time bridge amplitude and the preset standard bridge amplitude, and issuing an alarm corresponding to the abnormal bridge correction condition comprises:

When the real-time heavy truck flow is larger than the standard flow, calculating the difference value between the real-time heavy truck flow and the standard flow, when the difference value between the real-time heavy truck flow and the standard flow is smaller than or equal to the standard flow difference value, and when the real-time bridge amplitude is larger than the standard bridge amplitude, judging that the abnormal bridge correction condition is a heavy truck flow correction condition, and sending an alarm of heavy truck restriction measures according to the heavy truck flow correction condition.

6. The method for real-time monitoring of a bridge according to claim 5, wherein determining a total abnormal traffic condition based on the real-time traffic when the non-abnormal vehicle correction condition is determined to occur and a preset standard total traffic comprises:

When the non-abnormal vehicle correction condition is judged to occur, the condition that the real-time vehicle flow is larger than the preset standard total vehicle flow is judged to be the total abnormal vehicle flow condition.

7. The method for real-time monitoring of bridges of claim 6, wherein the anomaly mode of the total anomaly traffic conditions for which the time stamp is determined to be within a preset peak period is a continuous anomaly mode;

And when the duration of the continuous abnormal mode is less than or equal to the preset standard duration, an alarm is not required to be sent out.

8. The method for real-time monitoring of bridges according to claim 7, wherein an alarm of traffic diversion is issued when the duration of the continuous anomaly mode is longer than a preset standard duration and the absolute value of the real-time bridge amplitude is less than or equal to the absolute value of the preset standard bridge amplitude;

And when the duration time of the continuous abnormal mode is longer than the standard duration time and the absolute value of the real-time bridge amplitude is greater than the absolute value of the standard bridge amplitude, sending out an alarm for checking the bridge.

9. The method for real-time monitoring of a bridge according to claim 8, wherein when the number of continuous abnormal modes is greater than a maximum value of a preset standard number range, calculating a difference between the number of continuous abnormal modes and the maximum value of the standard number range, and determining that when the difference between the number of continuous abnormal modes and the maximum value of the standard number range is less than a preset standard vibration difference, reducing the standard bridge amplitude according to a preset adjustment coefficient;

When the number of the continuous abnormal modes is smaller than the minimum value of the preset standard number range, calculating the difference value between the minimum value of the standard number range and the number of the continuous abnormal modes, and when the difference value between the minimum value of the standard number range and the number of the continuous abnormal modes is smaller than the preset standard vibration difference value, increasing the standard flow according to the preset adjustment coefficient.

10. The method for real-time monitoring of a bridge according to claim 9, wherein when a difference between the number of continuous abnormal modes and the maximum value of the standard number range is greater than a preset standard vibration difference, it is determined that the standard duration needs to be increased;

when the number of continuous abnormal modes is smaller than the minimum value of the preset standard number range, it is judged that the standard duration needs to be reduced.