Bridge monitoring and early warning processing system

Abstract

The invention relates to the technical field of early warning disposal systems, in particular to a bridge monitoring and early warning disposal system. Comprising a multi-sensor beam body structure state data sensing unit, a multi-mode high-reliability data transmission communication unit, a cloud data storage unit, a cloud data analysis unit, a cloud data early warning unit and an on-site emergency concurrent multistage processing unit. The multi-sensor beam body structure state data sensing unit is used for sensing beam body structure state data; the multimode high-reliability data transmission communication unit is used for transmitting data and realizing signal communication; the cloud data storage unit is used for storing data at the cloud; the cloud data analysis unit is used for performing data analysis at the cloud; the safety of bridge operation and driving in special weather is ensured, a reliable and effective monitoring and early warning means is provided for the bridge service condition, emergency disposal of an emergency scene of the bridge service condition is achieved, and the idea of integration of bridge pier and bridge structure operation monitoring and emergency disposal is innovated.

Description

Technical Field

[0001] The present invention relates to the technical field of early warning and disposal systems, and in particular to a bridge monitoring early warning and disposal system. Background Art

[0002] With the acceleration of urbanization and the continuous expansion of transportation networks, bridges, as one of the important urban infrastructures, bear a large amount of traffic flow and personnel load. However, the safety, operation and maintenance of bridges are facing increasing operation and maintenance pressure and challenges. In order to cope with these problems, the smart bridge digital twin management platform provides an innovative solution.

[0003] As an important part of the public transportation system of smart cities, bridges have developed rapidly in China over the past few decades. China has become the country with the largest number of bridges in the world. According to the 2021 Statistical Bulletin on Industry Development of the Ministry of Transport, as of the end of 2021, there were more than 961,100 highway bridges nationwide, and the construction speed will gradually approach the peak. Now and in the future, my country will face long-term arduous problems in the management and maintenance of bridges during the operation period. How to ensure the safety of bridges during the operation period and improve the efficiency of management and maintenance has become a huge challenge faced by transportation infrastructure management departments and the engineering community. Health monitoring and safety assessment during bridge operation services have the dual strategic significance of promoting economic development and ensuring life safety and social stability.

[0004] At present, ordinary bridge management and maintenance are still generally carried out by manual regular inspections, test inspections, and expert evaluations, which are time-consuming and labor-intensive, inefficient, and not very intelligent. It is also difficult to ensure the accuracy of the evaluation, and sudden structural diseases are still inevitable. Therefore, improving the intelligence level of bridge operation and maintenance technology is an important guarantee for improving the life and durability of bridge projects. The research and development of intelligent monitoring technology and equipment for bridge structure safety has become an inevitable choice and an important way out. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a bridge monitoring, early warning and disposal system that ensures the safety of bridge operation and driving under special weather conditions, provides reliable and effective monitoring and early warning means for the service condition of the bridge, realizes emergency disposal of sudden scenarios of the service condition of the bridge, and innovates the concept of integrated operation monitoring and emergency disposal of bridge piers and bridge structures.

[0006] A bridge monitoring, early warning and disposal system of the present invention comprises a multi-sensor beam structure state data perception unit, a multi-mode high-reliability data transmission communication unit, a cloud data storage unit, a cloud data analysis unit, a cloud data early warning unit and an on-site emergency concurrent multi-level processing unit; The multi-sensor beam structure state data sensing unit is used to sense the beam structure state data; The multi-mode high-reliability data transmission communication unit is used to transmit data and realize signal communication; The cloud data storage unit is used for storing data in the cloud; The cloud data analysis unit is used to perform data analysis in the cloud; The cloud data early warning unit is used for data early warning in the cloud; The on-site emergency concurrent multi-level processing unit is used to realize on-site multi-level emergency processing through data.

[0007] Preferably, the multi-sensor beam structure state data perception unit includes a component perception module, an embedded multi-sensor data acquisition module, an external perception module and an IPD polyurethane support device; The IPD polyurethane support device is installed on the beam structure, and the component perception module and the embedded multi-sensor data acquisition module are respectively arranged on the IPD polyurethane support device. The component perception module senses the load, displacement, pre-assembly telescopic device stress and acceleration of the IPD polyurethane support device, and then the data collected by the component perception module is input into the embedded multi-sensor data acquisition module, which normalizes the data and then fuses the normalized data into the external perception module.

[0008] Preferably, the component sensing module includes a weighing sensor, a displacement sensor and an acceleration sensor; Weighing sensors, displacement sensors and acceleration sensors are pre-embedded in the IPD polyurethane supporting device, and a high-precision measurement displacement sensor for bridge expansion joints is added when the IPD polyurethane supporting device is installed; the weighing sensor, displacement sensor and acceleration sensor are used to collect load changes and displacement changes of the IPD polyurethane supporting device in real time on site during the service of the bridge, and the high-precision measurement displacement sensor for bridge expansion joints is used to collect displacement changes of the bridge expansion joints in real time on site during the service of the bridge.

[0009] Preferably, the external sensing module includes a mid-span strain sensor, a pier bottom strain sensor, a pier top grating sensor and a GPS sensor; The mid-span strain sensor is used to measure the strain change of the bridge beam at the mid-span position. When the bridge is subjected to external forces such as vehicle loads and wind loads, the beam will deform. The mid-span strain sensor can monitor this deformation in real time and convert it into electrical signals for output, thereby evaluating the bearing capacity and usage status of the bridge. The pier bottom strain sensor is used to monitor the strain at the bottom of the bridge pier, monitor the strain changes at the bottom of the pier in real time, and discover potential safety hazards in time; The pier top grating sensor is used to measure the strain and micro displacement of the pier top, providing a scientific basis for the maintenance and management of the bridge; GPS sensors are used for displacement monitoring of bridges. By utilizing GPS differential positioning technology, GPS sensors can monitor the displacement changes of key parts of bridges in real time, providing important data support for safety assessment and maintenance of bridges.

[0010] Preferably, the multi-mode high-reliability data transmission communication unit includes an optical fiber communication module, a 4G communication module and a Beidou short message communication module, thereby improving the diversification of communication.

[0011] Preferably, the cloud data storage unit includes a big data storage module; The cloud data analysis unit includes an artificial intelligence big data analysis module; the artificial intelligence big data analysis module is combined with an optical fiber communication module, a 4G communication module, a Beidou short message communication module and a variety of sensors to form an industrial Internet of Things information perception technology service, which processes, analyzes and mines the collected complex data to extract valuable information, thereby performing intelligent analysis on the data; The cloud data early warning unit includes a monitoring center digital twin early warning display module and a client alarm display module.

[0012] Preferably, the on-site emergency concurrent multi-level processing unit is composed of an on-site emergency LED prompt screen module, an on-site emergency traffic control module, an on-site emergency sound and light alarm module and an on-site emergency laser virtual control module; the bridge monitoring, early warning and disposal system based on the intelligent sensing polyurethane support device is a fully automatic, all-weather, all-time and space, high-precision bridge pier operation status monitoring, early warning and emergency disposal integrated integrated system, the system adopts intelligent sensing beam supports integrated with sensors, expansion joint intelligent sensing sensors, and embedded multi-sensor data acquisition and intelligent fusion units to sense the service status of the bridge in real time, and transmit data safely and reliably through optical fiber, 4G, Beidou short message data transmission system. When an emergency occurs, multi-level early warning is carried out through the LED display screen, emergency traffic control lights, sound and light alarm devices, laser virtual projection light curtains and other linkage emergency alarm devices deployed on the bridge site to ensure the safety of bridge operation and driving under special weather conditions, provide reliable and effective monitoring and early warning means for the service status of the bridge, realize the emergency disposal of sudden scenes of bridge service status, and innovate the concept of integrated operation monitoring and emergency disposal of piers and bridge structures.

[0013] Preferably, the early warning process comprises the following steps: S1. Based on the obtained weighing data, displacement data, expansion joint displacement and environmental conditions perceived by the on-site sensors, the warning level is divided into 3 stages and 4 levels of warning; S2, the first stage is the normal state four-level alert stage, at this time, the data of various sensors are within the normal range, and daily inspections are used for maintenance, and the alarm devices on site are silent; S3, the second stage is the third-level warning stage. The data status of multiple sensors is comprehensively judged to be in a relatively abnormal state, or the data of a certain sensor is beyond the abnormality, but it does not affect the overall safety of the beam body. At this time, the focus is on investigation and the alarm device on site is silent; S4, the second stage is the secondary warning stage. The data status of multiple sensors is comprehensively judged to be in an abnormal state, or the data of more than two sensors is beyond the abnormality and close to the critical value. At this time, it is necessary to immediately go to investigate, restrict or close the traffic in time, and continue to pass after the hidden danger is eliminated. At this time, the alarm device on site remains silent; S5. The third stage is the first-level warning stage. The data status of multiple sensors is comprehensively judged to be in an abnormal state, or the data of more than one sensor concentrated on a certain pier exceeds the abnormal value. At this time, the on-site alarm system triggers the first-level warning, all upstream alarm devices are triggered, traffic is immediately closed, and an alarm is sounded at the site. Inspectors should immediately go to the closed traffic and promptly check for hidden dangers or accidents.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. Highly integrated: A central management system is used to achieve seamless integration of hardware and software from different manufacturers, ensuring interoperability of communication protocols and data formats between systems, thus simplifying the complexity of system integration; 2. Precise monitoring: Through careful selection and deployment of sensors, the system can adapt to the specific monitoring needs of the bridge structure and maximize monitoring coverage and data quality; 3. Data quality assurance: The use of advanced signal processing technology and regular calibration procedures improves data accuracy and reliability, while the redundant sensor layout enhances fault tolerance; 4. Efficient data processing: The system can process and analyze large-scale real-time data streams, equipped with efficient computing resources and algorithms, realize predictive maintenance, and provide actionable data analysis results; 5. Communication stability and security: The system design takes into account the stability and security of the communication network, and adopts data encryption and network security measures to ensure the security of data transmission; 6. Scalability and compatibility: The system design takes into account future technological development and compatibility with existing infrastructure, reducing upgrade and replacement costs; 7. Environmental adaptability: System components have been tested for environmental adaptability and are able to adapt to various environmental conditions to ensure performance in actual use. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a system structure diagram of the present invention; Figure 2 It is the bridge monitoring, early warning and disposal diagram of the present invention. DETAILED DESCRIPTION

[0016] In order to facilitate understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. The present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Example

[0017] like Figure 1 to Figure 2 As shown, a bridge monitoring, early warning and disposal system of the present invention comprises a multi-sensor beam structure state data perception unit, a multi-mode high-reliability data storage and communication unit, a cloud data storage unit, a cloud data analysis unit, a cloud data early warning unit and an on-site emergency concurrent multi-level processing unit; The multi-sensor beam structure state data sensing unit is used to sense the beam structure state data; The multi-mode high-reliability data transmission communication unit is used to transmit data and realize signal communication; The cloud data storage unit is used for storing data in the cloud; The cloud data analysis unit is used to perform data analysis in the cloud; The cloud data early warning unit is used for data early warning in the cloud; On-site emergency concurrent multi-level processing unit, used to realize on-site multi-level emergency processing through data; The multi-sensor beam structure state data perception unit includes a component perception module, an embedded multi-sensor data acquisition module, an external perception module and an IPD polyurethane support device; The IPD polyurethane support device is installed on the beam structure, and the component perception module and the embedded multi-sensor data acquisition module are respectively arranged on the IPD polyurethane support device. The component perception module senses the load, displacement, stress and acceleration of the pre-support assembly expansion device of the IPD polyurethane support device, and then the data collected by the component perception module is input into the embedded multi-sensor data acquisition module, which normalizes the data and then fuses the normalized data into the external perception module. The component sensing module includes a weighing sensor, a displacement sensor and an acceleration sensor; The weighing sensor, displacement sensor and acceleration sensor are pre-embedded in the IPD polyurethane support device, and a high-precision displacement sensor for measuring the expansion joint of the bridge is installed when the IPD polyurethane support device is installed; The external sensing module includes a mid-span strain sensor, a pier bottom strain sensor, a pier top grating sensor and a GPS sensor; The mid-span strain sensor is used to measure the strain change of the bridge beam at the mid-span position. When the bridge is subjected to external forces such as vehicle loads and wind loads, the beam will deform. The mid-span strain sensor can monitor this deformation in real time and convert it into electrical signals for output, thereby evaluating the bearing capacity and usage status of the bridge; The pier bottom strain sensor is used to monitor the strain at the bottom of the bridge pier, monitor the strain changes at the bottom of the pier in real time, and discover potential safety hazards in time; The pier top grating sensor is used to measure the strain and micro displacement of the pier top, providing a scientific basis for the maintenance and management of the bridge; GPS sensors are used for displacement monitoring of bridges. By using GPS differential positioning technology, GPS sensors can monitor the displacement changes of key parts of bridges in real time, providing important data support for bridge safety assessment and maintenance; The multi-mode high-reliability data transmission communication unit includes an optical fiber communication module, a 4G communication module and a Beidou short message communication module; The cloud data storage unit includes a big data storage module; The cloud data analysis unit includes an artificial intelligence big data analysis module; the artificial intelligence big data analysis module is combined with an optical fiber communication module, a 4G communication module, a Beidou short message communication module and a variety of sensors to form an industrial Internet of Things information perception technology service, which processes, analyzes and mines the collected complex data to extract valuable information, thereby performing intelligent analysis on the data; The cloud data warning unit includes a monitoring center digital twin warning display module and a client alarm display module; The on-site emergency concurrent multi-level processing unit is composed of an on-site emergency LED prompt screen module, an on-site emergency traffic control module, an on-site emergency sound and light alarm module, and an on-site emergency laser virtual control module; In this embodiment, the bridge monitoring, early warning and disposal system based on the intelligent sensing polyurethane support device is a fully automatic, all-weather, all-time and space, high-precision bridge pier operation status monitoring, early warning and emergency disposal integrated system. The system adopts intelligent sensing beam supports with integrated sensors, intelligent sensing sensors for expansion joints, and embedded multi-sensor data acquisition and intelligent fusion units to sense the service status of the bridge in real time, and transmit data safely and reliably through optical fiber, 4G, and Beidou short message data transmission systems. When an emergency occurs, multi-level early warnings are carried out through the LED display screens, emergency traffic control lights, sound and light alarm devices, laser virtual projection light curtains and other linkage emergency alarm devices deployed on the bridge site to ensure the safety of bridge operation and driving under special weather conditions, provide reliable and effective monitoring and early warning means for the service status of the bridge, realize emergency disposal of sudden scenarios of bridge service status, and innovate the concept of integrated operation monitoring and emergency disposal of piers and bridge structures. Example

[0018] Based on Example 1, the early warning process includes the following steps: S1. Based on the obtained weighing data, displacement data, expansion joint displacement and environmental conditions perceived by the on-site sensors, the warning level is divided into 3 stages and 4 levels of warning; S2, the first stage is the normal state four-level alert stage, at this time, the data of various sensors are within the normal range, and daily inspections are used for maintenance, and the alarm devices on site are silent; S3, the second stage is the third-level warning stage. The data status of multiple sensors is comprehensively judged to be in a relatively abnormal state, or the data of a certain sensor is beyond the abnormality, but it does not affect the overall safety of the beam body. At this time, the focus is on investigation and the alarm device on site is silent; S4, the second stage is the secondary warning stage. The data status of multiple sensors is comprehensively judged to be in an abnormal state, or the data of more than two sensors is beyond the abnormality and close to the critical value. At this time, it is necessary to immediately go to investigate, restrict or close the traffic in time, and continue to pass after the hidden danger is eliminated. At this time, the alarm device on site remains silent; S5. The third stage is the first-level warning stage. If the data status of multiple sensors is comprehensively judged to be in an abnormal state, or the data of more than one sensor concentrated on a certain pier exceeds the abnormal value, the on-site alarm system triggers the first-level warning, all the upstream alarm devices are triggered, the traffic is immediately closed, and the alarm is sounded at the site. The inspectors should immediately go to the closed traffic and promptly check for hidden dangers or accidents; In this embodiment, seamless integration of hardware and software from different manufacturers is achieved through a central management system, ensuring interoperability of communication protocols and data formats between systems, and simplifying the complexity of system integration; By carefully selecting and deploying sensors, the system can be adapted to the specific monitoring needs of the bridge structure and maximize monitoring coverage and data quality; Advanced signal processing techniques and regular calibration procedures improve data accuracy and reliability, while redundant sensor layout enhances fault tolerance. The system is capable of processing and analyzing large-scale real-time data streams, equipped with efficient computing resources and algorithms, enabling predictive maintenance and providing actionable data analysis results; The system design takes into account the stability and security of the communication network, and adopts data encryption and network security measures to ensure the security of data transmission; The system design takes into account future technological development and compatibility with existing infrastructure, reducing upgrade and replacement costs; System components have been tested for environmental adaptability and are able to adapt to various environmental conditions to ensure performance in actual use.

[0019] The bridge monitoring, early warning and disposal system of the present invention has common mechanical installation, connection or setting methods, and any method that can achieve its beneficial effects can be implemented. Pressure sensing sensitivity mV / V: 1.5±20%, linearity (L) %FS: <0.5%); Long-term stability (S)%FS: <0.1; Repeatability (R)%FS: <0.2; Temperature compensation range (T) ℃: -10℃+50℃ (multi-point sensing); Displacement sensing sensitivity: 0.05%, straightness (L) %FS: 0.5; Repeatability %FS: 0.2 (customizable); Vibration sensing: 1000mV / g (customizable); Measurement resolution: 0.1mV; Frequency range: 0.2Hz~2000Hz; Data output: root mean square (RMS), characteristic frequency (spectrum), vibration mode (optional); Angle perception: sensitivity 0.005︒; Perception range: -15~15︒; Temperature perception: 0.5℃; Sensing range: -40~100℃; Alarm accuracy: 100%; False alarm probability: 0%; Snapshot response delay: no more than 1ms; Complex weather enhancement: available; Disaster site linkage triggering and handling alarm delay: no more than 5ms; Multi-sensor information fusion alarm: available at the edge; Disaster remote warning delay: no more than 10s; Multifunctional remote early warning mode: available; On-site equipment self-powered: solar energy + equipment pressure self-powered + fan self-powered.

[0020] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A bridge monitoring, early warning and disposal system, characterized in that: It includes a multi-sensor beam structure status data perception unit, a multi-mode high-reliability data transmission communication unit, a cloud data storage unit, a cloud data analysis unit, a cloud data early warning unit and an on-site emergency concurrent multi-level processing unit; The multi-sensor beam structure state data sensing unit is used to sense the beam structure state data; The multi-mode high-reliability data transmission communication unit is used to transmit data and realize signal communication; The cloud data storage unit is used for storing data in the cloud; The cloud data analysis unit is used to perform data analysis in the cloud; The cloud data early warning unit is used for data early warning in the cloud; The on-site emergency concurrent multi-level processing unit is used to realize on-site multi-level emergency processing through data.

2. A bridge monitoring, early warning and disposal system as claimed in claim 1, characterized in that: The multi-sensor beam structure state data perception unit includes a component perception module, an embedded multi-sensor data acquisition module, an external perception module and an IPD polyurethane support device; The IPD polyurethane support device is installed on the beam structure, and the component perception module and the embedded multi-sensor data acquisition module are respectively arranged on the IPD polyurethane support device. The component perception module senses the load, displacement, pre-assembly telescopic device stress and acceleration of the IPD polyurethane support device, and then the data collected by the component perception module is input into the embedded multi-sensor data acquisition module, which normalizes the data and then fuses the normalized data into the external perception module.

3. A bridge monitoring, early warning and disposal system as claimed in claim 2, characterized in that: The component sensing module includes a weighing sensor, a displacement sensor and an acceleration sensor; The weighing sensor, displacement sensor and acceleration sensor are pre-embedded in the IPD polyurethane support device. At the same time, a high-precision displacement sensor for measuring the expansion joint of the bridge is added when the IPD polyurethane support device is installed.

4. A bridge monitoring, early warning and disposal system as claimed in claim 2, characterized in that: The external sensing module includes a mid-span strain sensor, a pier bottom strain sensor, a pier top grating sensor and a GPS sensor; The mid-span strain sensor is used to measure the strain change of the bridge beam at the mid-span position. When the bridge is subjected to external forces such as vehicle loads and wind loads, the beam will deform. The mid-span strain sensor can monitor this deformation in real time and convert it into electrical signals for output, thereby evaluating the bearing capacity and usage status of the bridge; The pier bottom strain sensor is used to monitor the strain at the bottom of the bridge pier, monitor the strain changes at the bottom of the pier in real time, and discover potential safety hazards in time; The pier top grating sensor is used to measure the strain and micro displacement of the pier top, providing a scientific basis for the maintenance and management of the bridge; GPS sensors are used for displacement monitoring of bridges. By utilizing GPS differential positioning technology, GPS sensors can monitor the displacement changes of key parts of bridges in real time, providing important data support for safety assessment and maintenance of bridges.

5. A bridge monitoring, early warning and disposal system as claimed in claim 1, characterized in that: The multi-mode high-reliability data transmission communication unit includes an optical fiber communication module, a 4G communication module and a Beidou short message communication module.

6. A bridge monitoring, early warning and disposal system as claimed in claim 1, characterized in that: The cloud data storage unit includes a big data storage module; The cloud data analysis unit includes an artificial intelligence big data analysis module; The cloud data early warning unit includes a monitoring center digital twin early warning display module and a client alarm display module.

7. A bridge monitoring, early warning and disposal system as claimed in claim 1, characterized in that: The on-site emergency concurrent multi-level processing unit is composed of an on-site emergency LED prompt screen module, an on-site emergency traffic control module, an on-site emergency sound and light alarm module and an on-site emergency laser virtual control module.

8. A bridge monitoring, early warning and disposal system as claimed in claim 1, characterized in that: The early warning disposal comprises the following steps: S1. Based on the obtained weighing data, displacement data, expansion joint displacement and environmental conditions perceived by the on-site sensors, the warning level is divided into 3 stages and 4 levels of warning; S2, the first stage is the normal state four-level alert stage, at this time, the data of various sensors are within the normal range, and daily inspections are used for maintenance, and the alarm devices on site are silent; S3, the second stage is the third-level warning stage. The data status of multiple sensors is comprehensively judged to be in a relatively abnormal state, or the data of a certain sensor is beyond the abnormality, but it does not affect the overall safety of the beam body. At this time, the focus is on investigation and the alarm device on site is silent; S4, the second stage is the secondary warning stage. The data status of multiple sensors is comprehensively judged to be in an abnormal state, or the data of more than two sensors is beyond the abnormality and close to the critical value. At this time, it is necessary to immediately go to investigate, restrict or close the traffic in time, and continue to pass after the hidden danger is eliminated. At this time, the alarm device on site remains silent; S5. The third stage is the first-level warning stage. The data status of multiple sensors is comprehensively judged to be in an abnormal state, or the data of more than one sensor concentrated on a certain pier exceeds the abnormal value. At this time, the on-site alarm system triggers the first-level warning, all upstream alarm devices are triggered, traffic is immediately closed, and an alarm is sounded at the site. Inspectors should immediately go to the closed traffic and promptly check for hidden dangers or accidents.

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