CN210924883U - Bridge structure health monitoring system - Google Patents
Bridge structure health monitoring system Download PDFInfo
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- CN210924883U CN210924883U CN201922167429.0U CN201922167429U CN210924883U CN 210924883 U CN210924883 U CN 210924883U CN 201922167429 U CN201922167429 U CN 201922167429U CN 210924883 U CN210924883 U CN 210924883U
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Abstract
The utility model discloses a bridge structures health monitoring system mainly relates to monitoring system technical field, including sensor unit, data acquisition unit, data management unit and visual monitoring unit, the sensor unit is according to the finite element model analysis deployment to the structural characteristic of bridge at specific measurement station position, and data acquisition unit connects sensor unit, and data management unit connects the data acquisition unit. The utility model discloses a finite element model analysis of bridge structures realizes that the measurement station of sensor optimizes the deployment to set up the measurement station position that a plurality of sensors optimize the sensor according to three dimension, through the environment and the load parameter to the bridge, the whole response parameter of structure and the real-time supervision of the local response parameter of structure, realize the monitoring of bridge structure data with minimum sensor and minimum data volume, be applicable to the health monitoring of the continuous steel truss railway bridge of stiffening in large-span variable cross section lower chord, better economical and practical, stability and reliability have.
Description
Technical Field
The utility model relates to a monitoring system, especially a bridge structures health monitoring system.
Background
The traditional bridge detection depends on the experience of managers and technicians to a great extent, a scientific system method is lacked, the situation of a bridge, particularly a large bridge, is often lacked of comprehensive grasp and understanding, information cannot be fed back in time, and the safety situation of the bridge cannot be effectively monitored, in recent years, with the continuous development of communication network, signal processing, artificial intelligence and other technologies, the practicability and application research of a bridge monitoring system are accelerated, the bridge health monitoring is to send an early warning signal for the bridge under special climate and traffic conditions or when the operation situation of the bridge is abnormal and serious through monitoring and evaluation of the structural situation of the bridge, a basis and guidance are provided for maintenance and management decision making of the bridge, however, the existing bridge structure monitoring system cannot meet the health monitoring of a large-span variable-section lower chord stiffening continuous steel truss railway bridge with complex structural system, large span and heavy load, therefore, there is a need for a bridge structure health monitoring system that is economical, practical, and suitable for use in large-span variable cross-section lower chord stiffened continuous steel truss railway bridges.
SUMMERY OF THE UTILITY MODEL
The utility model provides a simple structure's bridge structures health monitoring system has solved the current bridge structures monitoring system who exists among the prior art and can't satisfy the problem of the health monitoring of the continuous steel truss girder railway bridge of putting more energy into in the last quarter of large-span variable cross section that the structure system is complicated, the span is big, the load.
The utility model discloses a solve the technical scheme that above-mentioned technical problem adopted and be: the bridge monitoring system comprises a sensor unit, a data acquisition unit, a data management unit and a visual monitoring unit, wherein the sensor unit is arranged at a specific measuring point position according to the analysis of a finite element model of the structural characteristics of a bridge, the data acquisition unit is connected with the sensor unit and used for acquiring sensing data of the sensor unit in real time and storing the sensing data into a first monitoring database, the data management unit is connected with the data acquisition unit and used for acquiring the sensing data from the data acquisition unit according to monitoring frequency and storing the sensing data into a second monitoring database, and the visual monitoring unit is used for reading the sensing data from the data management unit based on a BIM information model to perform three-dimensional visual dynamic display, and performing data analysis, safety evaluation and early warning;
the sensor unit comprises a plurality of environment and load sensors, a plurality of structure overall response sensors and a plurality of structure local response sensors, the environment and load sensors are arranged at the position, most sensitive to the environmental load, of the bridge, the measuring point position 5 of each structure overall response sensor comprises an optimal position determined according to the sensor optimized layout theory and structure modal information, and the measuring point position 5 of each structure local response sensor comprises the position, most prone to damage, of the bridge and a region with large influence on the overall structure damage.
Preferably, the data acquisition unit comprises a data acquisition terminal, a monitoring host and a first monitoring database, the data acquisition terminal receives an instruction of the monitoring host, acquires sensing data from the sensor unit and sends the sensing data to the monitoring host, and the monitoring host is used for storing the acquired sensing data to the first monitoring database.
Preferably, the data management unit comprises a client host, a server host and a second monitoring database, wherein the client host is connected with the server host through a network and used for acquiring the sensing data from the first monitoring database and transmitting the sensing data to the server host through the network; and the server-side host is used for storing the sensing data to the second monitoring database.
Preferably, the visual monitoring unit comprises a model display module, a safety early warning module and a safety assessment module, the model display module is used for loading, editing and displaying the BIM information model, the safety early warning module is used for comparing monitored sensing data with theoretical calculation results, the rationality of the monitored sensing data is analyzed, safety early warning is carried out when the monitored sensing data is abnormal, and the safety assessment module is used for carrying out safety assessment on the structural state of the bridge based on statistical analysis of the sensing data.
The utility model adopts the above structure, following advantage has: the method is suitable for health monitoring of the large-span variable-cross-section lower chord stiffening continuous steel truss railway bridge, and has good economic practicability, stability and reliability.
Drawings
FIG. 1 is a block diagram of the present invention;
fig. 2 is the utility model discloses bridge finite element model sensor distribution point schematic diagram.
In the figure, 1, a sensor unit; 2. a data acquisition unit; 3. a data management unit; 4. a visual monitoring unit; 5. and measuring point positions of the sensors.
Detailed Description
In order to clearly illustrate the technical features of the present invention, the present invention is explained in detail by the following embodiments in combination with the accompanying drawings.
As shown in fig. 1 and 2, the whole comprises a sensor unit 1, a data acquisition unit 2, a data management unit 3 and a visual monitoring unit 4;
the sensor unit 1 comprises a plurality of environment and load sensors, a plurality of structure overall response sensors and a plurality of structure local response sensors, the measuring point position 5 of the environment and load sensors is at the most sensitive position of the environment load of the bridge, the measuring point position 5 of the structure overall response sensors comprises the optimal position determined according to the optimized sensor layout theory and the structure modal information, the measuring point position 5 of the structure local response sensors comprises the most stress and most easily damaged part of the bridge and the area with larger damage influence on the structure overall, the environment and load sensors are mainly used for measuring the environment and load parameters of the bridge such as temperature, humidity, earthquake, security protection, wind environment and the like, the structure overall response sensors are mainly used for measuring the structure overall response parameters of the bridge, such as component vibration, deformation and displacement, the structure local response sensors are mainly used for measuring the structure local response parameters of the bridge, such as vulnerable point stresses;
the sensor unit 1 is arranged at a specific measuring point position according to the analysis of a finite element model of the structural characteristics of a bridge, the finite element model is established and the structural vulnerability is calculated and analyzed on the bridge by adopting finite element analysis software according to drawing information of a bridge structure, the stress analysis, such as displacement and rod force, of a bridge engineering steel structure under the action of static and dynamic loads is carried out by utilizing the established model, a basis is provided for the optimized arrangement of the measuring points of the sensors, the minimum number of the sensors is determined according to a sensor optimization theory, the characteristics of the bridge structure, the investment scale and the structural importance are considered, and the total number of the sensors of the monitoring system is determined by considering certain redundancy, wherein:
the purpose of environment and load monitoring is to adopt environment and load monitoring data, to simulate and process the response condition of the bridge structure under the action of actual external load in real time through established numerical values so as to judge the structure safety, and simultaneously, to judge the load accuracy selected by an original calculation model through accumulated environment and load data so as to provide support for the subsequent safety evaluation of the structure, wherein the measuring point position 5 of the environment and load sensor is determined by the most sensitive part of the environment load;
the purpose of monitoring the integral response of the structure is to monitor the finished engineering state in the construction process and the service stage by establishing a theoretical analysis model and a test system, judge that the configuration of the structure still conforms to the ideal design state after long-term loading in the service stage of the structure, and further ensure the safety of the structure;
the purpose of the structure local response monitoring is to acquire the stress condition of a main rod piece of a bridge net rack, so that the structure is controlled to be in a safe state when the whole structure is loaded in a service environment, the structure local response monitoring is combined with the structure overall response monitoring, the structure safe state is judged more quickly and accurately, and a structure local response sensor is mainly determined according to a hot spot stress method, is generally arranged at the position with the largest stress and the most easily damaged part, and is arranged in a region with larger influence on the structure overall damage;
the data acquisition unit 2 is connected with the sensor unit 1 and used for acquiring sensing data of the sensor unit 1 in real time and storing the sensing data into a first monitoring database, the data management unit 3 is connected with the data acquisition unit 2 and used for acquiring the sensing data from the data acquisition unit 2 according to monitoring frequency and storing the sensing data into a second monitoring database, and the visual monitoring unit 4 is used for reading the sensing data from the data management unit 3 based on a BIM information model to perform three-dimensional visual dynamic display, and performing data analysis, safety evaluation and early warning;
the data acquisition unit 2 comprises a data acquisition terminal, a monitoring host and a first monitoring database, wherein the data acquisition terminal receives an instruction of the monitoring host, acquires sensing data from the sensor unit 1 and sends the sensing data to the monitoring host; the monitoring host is used for storing the acquired sensing data to a first monitoring database;
the data management unit 3 comprises a client host, a server host and a second monitoring database, wherein the client host is connected with the server host through a network and used for acquiring sensing data from the first monitoring database and transmitting the sensing data to the server host through the network, and the server host is used for storing the sensing data to the second monitoring database;
the data management unit 3 can provide cloud platform data service, and a user can access the second monitoring database through various types of terminals, and modify, read, update and delete monitoring data according to different authorities;
the data management unit 3 can obtain various monitoring data from the data acquisition unit 2, and exchanges data with the visual monitoring unit 4, and based on a cloud platform technology, the visual monitoring unit 4 presents the health monitoring condition of the bridge structure, safety early warning information and a safety evaluation report to a user through the model display module, the safety early warning module and the safety evaluation module;
the visual monitoring unit 4 comprises a model display module, a safety early warning module and a safety evaluation module, wherein the model display module is used for loading, editing and displaying a BIM information model, the safety early warning module is used for comparing monitored sensing data with theoretical calculation results, analyzing the rationality of the monitored sensing data and carrying out safety early warning when the monitored sensing data is abnormal, the safety evaluation module is used for carrying out safety evaluation on the structural state of the bridge based on statistical analysis of the sensing data, the BIM information model is a datamation tool applied to engineering design, construction and management, the visualization of building information is realized by integrating the datamation and informatization models of the building, the model display module can dynamically display the monitored data in the modes of charts, curves, three-dimensional graphs and the like, and the means of safety early warning can comprise a popup warning window, Playing sound, mails, short messages, QQ messages, automatic dialing and the like, and alarming by adopting different means according to the emergency degree of the situation;
the visual monitoring unit 4 further analyzes the monitoring data after preliminary analysis, evaluates the working states of the construction, operation and the like of the whole member and the structure by monitoring data information of various stress reactions and the current working state of the structure in combination with a theoretical analysis model, expert experience and related specification files and applying a state evaluation theory, provides the result for owners and related experts to make final decision for use, and can also determine the current safety level of the bridge structure according to the safety coefficient, wherein the safety level can comprise safety, comparative safety, unsafe and the like;
when the monitoring data is collected, data analysis can be synchronously carried out through the visual monitoring unit 4, the monitoring data is compared with theoretical calculation results, the rationality of the monitoring results is analyzed, the influence of external interference on the data is eliminated, the condition of the bridge structure is dynamically known, after the periodic monitoring is completed, the monitoring data can be summarized and analyzed, the stress response of the bridge structure is subjected to statistical analysis along with the change of an external load effect, and the safety condition of the bridge structure is comprehensively judged.
The above-mentioned components, the establishment of finite element models and BIM information models are all prior art.
The above-mentioned specific embodiments can not be regarded as the restriction to the scope of protection of the utility model, to technical personnel in this technical field, it is right the utility model discloses any replacement improvement or transform that embodiment made all fall within the scope of protection of the utility model.
The parts of the present invention not described in detail are the known techniques of those skilled in the art.
Claims (4)
1. A bridge structures health monitoring system which characterized in that: the bridge monitoring system comprises a sensor unit, a data acquisition unit, a data management unit and a visual monitoring unit, wherein the sensor unit is arranged at a specific measuring point position according to the analysis of a finite element model of the structural characteristics of a bridge, the data acquisition unit is connected with the sensor unit and used for acquiring sensing data of the sensor unit in real time and storing the sensing data into a first monitoring database, the data management unit is connected with the data acquisition unit and used for acquiring the sensing data from the data acquisition unit according to monitoring frequency and storing the sensing data into a second monitoring database, and the visual monitoring unit is used for reading the sensing data from the data management unit based on a BIM information model to perform three-dimensional visual dynamic display, and performing data analysis, safety assessment and early warning;
the sensor unit comprises a plurality of environment and load sensors, a plurality of structure overall response sensors and a plurality of structure local response sensors, the measuring point positions of the environment and load sensors are at the position where the environment load of the bridge is most sensitive, the measuring point positions of the structure overall response sensors comprise the optimal positions determined according to the sensor optimized layout theory and the structure modal information, and the measuring point positions of the structure local response sensors comprise the parts, which are most prone to damage, of the bridge and the regions which have larger damage influence on the structure overall.
2. The bridge structure health monitoring system of claim 1, wherein: the data acquisition unit comprises a data acquisition terminal, a monitoring host and a first monitoring database, the data acquisition terminal receives an instruction of the monitoring host, the data acquisition terminal acquires sensing data from the sensor unit and sends the sensing data to the monitoring host, and the monitoring host is used for storing the acquired sensing data to the first monitoring database.
3. The bridge structure health monitoring system of claim 1, wherein: the data management unit comprises a client host, a server host and a second monitoring database, wherein the client host is connected with the server host through a network and used for acquiring the sensing data from the first monitoring database and transmitting the sensing data to the server host through the network; the server-side host is used for storing the sensing data to the second monitoring database.
4. The bridge structure health monitoring system of claim 1, wherein: the visual monitoring unit comprises a model display module, a safety early warning module and a safety evaluation module, wherein the model display module is used for loading, editing and displaying the BIM information model, the safety early warning module is used for comparing monitored sensing data with theoretical calculation results, analyzing the rationality of the monitored sensing data and carrying out safety early warning when the monitored sensing data is abnormal, and the safety evaluation module is used for carrying out safety evaluation on the structural state of the bridge based on the statistical analysis of the sensing data.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111931407A (en) * | 2020-08-12 | 2020-11-13 | 青岛理工大学 | Structure reliability evaluation prediction method and system based on long-term monitoring data |
| CN114234831A (en) * | 2021-12-13 | 2022-03-25 | 中铁建工集团有限公司 | Strain monitoring method and system for curved surface steel casting and readable storage medium |
| CN114324592A (en) * | 2021-12-31 | 2022-04-12 | 北京市政路桥股份有限公司 | Structure monitoring device based on BIM technology |
| CN114894290A (en) * | 2022-04-20 | 2022-08-12 | 徐州中煤百甲重钢科技股份有限公司 | Vibration monitoring sensor arrangement mode of large-span steel structure |
| CN115062396A (en) * | 2022-08-16 | 2022-09-16 | 中铁北京工程局集团(天津)工程有限公司 | High-precision remote control system and method for tied arch continuous beam hanger rod |
| CN116045893A (en) * | 2022-12-27 | 2023-05-02 | 中冶建筑研究总院有限公司 | Deformation monitoring system and method for key components of steel structure factory building |
| CN117572295A (en) * | 2024-01-12 | 2024-02-20 | 山东和兑智能科技有限公司 | Multi-mode on-line monitoring and early warning method for high-voltage sleeve |
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2019
- 2019-12-06 CN CN201922167429.0U patent/CN210924883U/en active Active
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111931407A (en) * | 2020-08-12 | 2020-11-13 | 青岛理工大学 | Structure reliability evaluation prediction method and system based on long-term monitoring data |
| CN114234831A (en) * | 2021-12-13 | 2022-03-25 | 中铁建工集团有限公司 | Strain monitoring method and system for curved surface steel casting and readable storage medium |
| CN114324592A (en) * | 2021-12-31 | 2022-04-12 | 北京市政路桥股份有限公司 | Structure monitoring device based on BIM technology |
| CN114324592B (en) * | 2021-12-31 | 2024-04-19 | 北京市政路桥股份有限公司 | Structure monitoring device based on BIM technique |
| CN114894290A (en) * | 2022-04-20 | 2022-08-12 | 徐州中煤百甲重钢科技股份有限公司 | Vibration monitoring sensor arrangement mode of large-span steel structure |
| CN115062396A (en) * | 2022-08-16 | 2022-09-16 | 中铁北京工程局集团(天津)工程有限公司 | High-precision remote control system and method for tied arch continuous beam hanger rod |
| CN116045893A (en) * | 2022-12-27 | 2023-05-02 | 中冶建筑研究总院有限公司 | Deformation monitoring system and method for key components of steel structure factory building |
| CN116045893B (en) * | 2022-12-27 | 2024-01-09 | 中冶建筑研究总院有限公司 | Deformation monitoring system and method for key components of steel structure factory building |
| CN117572295A (en) * | 2024-01-12 | 2024-02-20 | 山东和兑智能科技有限公司 | Multi-mode on-line monitoring and early warning method for high-voltage sleeve |
| CN117572295B (en) * | 2024-01-12 | 2024-04-12 | 山东和兑智能科技有限公司 | Multi-mode on-line monitoring and early warning method for high-voltage sleeve |
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