CN112180861A - Integrated bridge monitoring system - Google Patents
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Abstract
The application relates to an integrated bridge monitoring system relates to bridge monitoring technology field, and this system includes: the system comprises a data acquisition access layer, a data management layer and a data management layer, wherein the data acquisition access layer comprises an Internet of things gateway, a monitoring acquisition platform and a message forwarding middleware, and the Internet of things gateway and the monitoring acquisition platform are used for acquiring bridge monitoring data; the data layer comprises a relational database, a big data repository and a MongoDB, and the relational database, the big data repository and the MongoDB are all used for sorting bridge monitoring data and obtaining and storing monitoring statistical data; the system platform layer is used for analyzing and sorting the monitoring statistical data or the bridge monitoring data according to a preset analysis mechanism to obtain monitoring analysis data; and the management service application layer is used for responding to the query instruction and calling the monitoring analysis data or the monitoring statistical data. The bridge monitoring system can be compatible with different bridge monitoring devices, information collection and information integration are carried out, and help is provided for monitoring the whole life cycle of the bridge and predicting bridge accidents.
Description
Technical Field
The invention relates to the technical field of bridge monitoring, in particular to an integrated bridge monitoring system.
Background
The bridge monitoring system integrates information technologies such as Internet of things, communication, a database and the Internet, senses bridge environment, traffic, construction process load and structural response through sensors arranged on site, monitors the bridge in the whole life cycle of different application scenes, analyzes and obtains abnormal parameters possibly causing accidents and construction deviation through data analysis and comparison, and gives an alarm in time.
At present, a plurality of monitoring systems have been designed and realized at home and abroad aiming at the whole life cycle of a bridge, and the service requirements are mainly focused on the following aspects:
the automatic safety monitoring of the small bridges in the road network level is more and more emphasized due to the large quantity and wide range, the fact that effective maintenance management cannot be guaranteed, technical condition deviation and deterioration development are fast and the like. Correspondingly, single-bridge small-scale monitoring and multi-bridge integrated management are needed, field equipment and implementation are simplified, and cost performance of a monitoring system is improved. From the software level, the functions of relevant GIS map service (such as highway or railway line tracing, bridge positioning and the like), management mechanism setting, bridge grouping and the like are needed.
The working conditions are changeable in the construction process of the bridge, and the corresponding structural states, alarm values and the like change along with the working conditions, so that certain requirements are met for monitoring and monitoring the construction mechanical equipment, the construction process and the bridge construction, a set of rapid and convenient monitoring system is needed, the bridge construction monitoring system can be conveniently installed and adapted to the construction environment of a site, the data is guaranteed to be real and reliable and is not lost, the states of the monitored site can be reflected in time, and the construction process is fed back in time.
The large bridge health monitoring system has an independent and complete monitoring system, monitoring points, data types and data volumes are large, the monitoring system needs to monitor and respond to static, dynamic, overall and local conditions, not only can meet the requirement of large-scale data storage and management, but also can quickly respond to the requirements of data query analysis and data real-time monitoring, and has higher requirement on the overall performance of the system. Meanwhile, with the development of technology, a large bridge health monitoring system is basically fused with the BIM, the three-dimensional live view and the like at present, so that the functions of three-dimensional visual configuration, display, early warning and the like of monitoring measuring points and data are realized, the BIM, the three-dimensional live view and the like can also be applied to other monitoring scenes, and therefore how to fuse the bridge monitoring system software architecture with the three-dimensional technologies of the BIM, the three-dimensional live view and the like needs to be considered.
For the monitoring requirements of the services, most of the existing systems have a system for customizing and developing the independent services, but the development of the system has a plurality of problems, such as serious repeated research and development problems of the system, insufficient accumulation and inheritance of a large amount of domain knowledge and design experience, and poor portability and expandability of the existing system, so that the maintenance and function expansion work of the system is difficult to develop. In the development process, the thinking about software multiplexing also stays in code multiplexing and component multiplexing, and the multiplexing of a higher-level software architecture is less considered.
Therefore, the software of the bridge monitoring type needs to be designed in a generalized, hierarchical, modularized and parameterized manner from the software architecture level, and reusable components and functional modules are provided for different upper-layer application requirements, so that data sharing is realized among applications.
Disclosure of Invention
The application provides an integrated bridge monitoring system, can compatible different bridge monitoring facilities, carries out information acquisition and information integration, provides help for bridge life cycle's monitoring and bridge accident's prediction.
The application provides an integrated bridge monitoring system, the system includes:
the system comprises a data acquisition access layer, a data management layer and a data management layer, wherein the data acquisition access layer comprises an Internet of things gateway, a monitoring acquisition platform and a message forwarding middleware, and the Internet of things gateway and the monitoring acquisition platform are used for acquiring bridge monitoring data;
the data layer comprises a relational database, a big data repository and a MongoDB, and the relational database, the big data repository and the MongoDB are all used for sorting the bridge monitoring data to obtain and store monitoring statistical data;
the system platform layer is used for analyzing and sorting the monitoring statistical data or the bridge monitoring data according to a preset analysis mechanism to obtain monitoring analysis data;
the management service application layer is used for responding to a query instruction and calling the monitoring analysis data or the monitoring statistical data; wherein the content of the first and second substances,
the message forwarding middleware is configured to upload the bridge monitoring data to the relational database, the big data repository, or the mongoDB.
Further, the message forwarding middleware is further configured to upload the bridge monitoring data to the system platform layer.
Specifically, the relational database, the big data repository and the MongoDB are all used for sorting the bridge monitoring data, unifying data coding, storage structures, data dictionaries and business data classification of the bridge monitoring data, and acquiring and storing the monitoring statistical data.
Specifically, the system platform layer includes:
the monitoring basic application unit is used for extracting the monitoring statistical data and the bridge monitoring data, and is also used for data back-end processing, data analysis and display, intelligent early warning and monitoring report generation;
the GIS service unit is used for bridge line tracing, bridge positioning and monitoring positioning;
and the three-dimensional visualization unit is used for monitoring the statistical data, the bridge BIM model and the three-dimensional scene graph to generate a bridge monitoring three-dimensional graph.
Preferably, an MVC architecture is adopted among the monitoring base application unit, the GIS service unit and the three-dimensional visualization unit.
Specifically, the management service application layer includes:
the system comprises a medium and small bridge group monitoring system, a construction monitoring system, a large integrated bridge monitoring system, a structure emergency monitoring system and an intelligent bridge management system.
Preferably, an MVC architecture is adopted among the medium and small bridge group monitoring system, the construction monitoring system, the large integrated bridge monitoring system, the structure emergency monitoring system and the intelligent bridge management system.
Specifically, the relational database includes DB2, Oracle or SQLServer.
In particular, the large data repository comprises HDFS or Hbase.
Specifically, the message forwarding middleware is a Redis cluster.
The beneficial effect that technical scheme that this application provided brought includes:
1. the application provides an integrated bridge monitoring technology, can compatible different bridge monitoring facilities, carries out information acquisition and information integration, provides help for bridge life cycle's monitoring and bridge accident's prediction.
2. The software framework of the application localizes the whole problem of the bridge life cycle monitoring after hierarchical division, framework design and software abstraction, is convenient for construction, modification, replacement and expansion, can meet the requirement of monitoring concurrency of a multi-project cluster bridge, facilitates integration of monitoring modules and APIs (application program interfaces) of various management service application systems, and improves the development efficiency and flexibility of the system.
3. This application combines through thing networking gateway and integration monitoring collection platform, to bottom communication design commonality data interface, the communication protocol of built-in abundance satisfies the quick access of various sensors in the structural monitoring, carries out unified collection and solves and front end data preprocessing, provides quick reliable data acquisition solution to various applications, and upper software need not too much to pay attention to bottom hardware information, need not to change the software framework, has improved the system commonality.
4. The method and the system have the advantages that the message middleware Redis cluster is combined with the WebScoket service, real-time monitoring data are forwarded to the system platform layer, and the real-time performance of the bridge monitoring system is improved; meanwhile, a Redis high-performance distribution subscription mechanism is adopted, persistent storage and direct flow are carried out to an HDFS/HBase big data processing framework, and storage and analysis of dynamic bridge monitoring data and massive historical data are realized by combining MongoDB.
5. The method and the system have the advantages that the mode that three APIs, the monitoring assembly and the universal module are combined with each other is provided through the system platform layer, various bridge full-life monitoring service systems are rapidly constructed through the MVC framework, basic functions such as data acquisition access, preprocessing, storage, display and early warning are met, special requirements for various monitoring scenes are met through the minimum development cost, and the development cost of the system is greatly reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a block diagram of a structure of an integrated bridge monitoring system provided in embodiment 1 of the present application;
fig. 2 is a block diagram of a data acquisition access layer in the integrated bridge monitoring system provided in embodiment 1 of the present application;
fig. 3 is a block diagram of a data layer in the integrated bridge monitoring system provided in embodiment 1 of the present application;
fig. 4 is a block diagram of a system platform layer in the integrated bridge monitoring system provided in embodiment 1 of the present application;
fig. 5 is a block diagram of a structure of an integrated bridge monitoring system provided in embodiment 2 of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
The embodiment of the invention provides an integrated bridge monitoring system which can be compatible with different bridge monitoring devices to collect and integrate information and provide help for monitoring the whole life cycle of a bridge and predicting bridge accidents.
In order to achieve the technical effects, the general idea of the application is as follows:
an integrated bridge monitoring system, the system comprising:
the system comprises a data acquisition access layer, a data management layer and a data management layer, wherein the data acquisition access layer comprises an Internet of things gateway, a monitoring acquisition platform and a message forwarding middleware, and the Internet of things gateway and the monitoring acquisition platform are used for acquiring bridge monitoring data;
the data layer comprises a relational database, a big data repository and a MongoDB, and the relational database, the big data repository and the MongoDB are all used for sorting the bridge monitoring data to obtain and store monitoring statistical data;
the system platform layer is used for analyzing and sorting the monitoring statistical data or the bridge monitoring data according to a preset analysis mechanism to obtain monitoring analysis data;
the management service application layer is used for responding to a query instruction and calling the monitoring analysis data or the monitoring statistical data; wherein the content of the first and second substances,
the message forwarding middleware is configured to upload the bridge monitoring data to the relational database, the big data repository, or the mongoDB.
Embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
Example 1
Referring to fig. 1 to 4, an embodiment of the present invention provides an integrated bridge monitoring system, including:
the system comprises a data acquisition access layer, a data management layer and a data management layer, wherein the data acquisition access layer comprises an Internet of things gateway, a monitoring acquisition platform and a message forwarding middleware, and the Internet of things gateway and the monitoring acquisition platform are used for acquiring bridge monitoring data;
the data layer comprises a relational database, a big data repository and a MongoDB, and the relational database, the big data repository and the MongoDB are all used for sorting the bridge monitoring data to obtain and store monitoring statistical data;
the system platform layer is used for analyzing and sorting the monitoring statistical data or the bridge monitoring data according to a preset analysis mechanism to obtain monitoring analysis data;
the management service application layer is used for responding to a query instruction and calling the monitoring analysis data or the monitoring statistical data; wherein the content of the first and second substances,
the message forwarding middleware is configured to upload the bridge monitoring data to the relational database, the big data repository, or the mongoDB.
In the embodiment of the application, the data acquisition access layer realizes integration of multiple communication modes such as RS-485/232, TCP and UDP by combining the gateway of the Internet of things and an integrated monitoring and acquisition platform, a universal data interface is configured for bottom layer communication, rich communication protocols are arranged in the universal data interface, rapid access of various sensors in bridge monitoring can be met, unified acquisition and resolving and front-end data preprocessing are carried out, and a rapid and reliable data acquisition solution is provided for various applications,
when a data acquisition mode needs to be added newly, the data acquisition mode only needs to be customized by independently calculating and is configured on a software bus of an acquisition platform, upper-layer software can transmit data without paying much attention to bottom-layer hardware information and without changing a software architecture, the universality is improved,
the data acquisition access layer acquires bridge monitoring data obtained by monitoring of the bridge monitoring field sensor, writes the bridge monitoring data into the data layer, and forwards the real-time monitoring data to the system platform layer through the message middleware Redis cluster and the WebScoket service.
It should be noted that, the data acquisition access layer acquires and accesses data, and directly writes the acquired and accessed data into the message middleware Redis cluster, and performs persistent storage and direct transfer to the HDFS/HBase big data processing framework by using a high-performance distribution subscription mechanism.
In the embodiment of the application, the data layer can carry out unified design on data coding, storage structures, data dictionaries, service data classification and the like among the multi-service systems by using a distributed mass data storage management mode and a data structure, so that interconnection and intercommunication of the data layer of the multi-service system are realized, a data middle station of a bridge monitoring system is conveniently constructed, and data comparison correlation analysis and decision support among cluster systems are provided;
when data management is carried out, data persistence storage is carried out by adopting an ORM (object relational mapping), mainstream database tool drivers such as DB2, Oracle and SQLServer are provided, coupling between an upper layer and a data layer is released, and a data interaction scheme is conveniently provided for different service requirements; the high-performance MongoDB cluster is adopted to carry out storage management on dynamic data, so that unified storage of different monitoring data structures is realized, and the storage and query performance is improved; the method comprises the steps of transferring acquired data and service data streams necessary for data analysis into data storage such as HBase by using a Hadoop distributed computing framework, compiling statistical analysis codes by using components such as Hive in a similar SQL mode, and reducing the development cost of statistical analysis personnel; a Hadoop distributed system is adopted for storing all historical data, and a framework capable of supporting calculation, mining and analysis of mass data is provided.
And the system platform layer is used for summarizing, sorting and comprehensively analyzing data and providing services for quickly constructing various application systems of the management business application layer in a mode of combining the API, the monitoring component and the universal module.
In the embodiment of the application, different bridge monitoring devices can be compatible, information collection and information integration are carried out, and help is provided for monitoring the whole life cycle of a bridge and predicting bridge accidents.
Example 2
Referring to fig. 5, an embodiment of the present invention provides an integrated bridge monitoring system, including:
the system comprises a data acquisition access layer, a data management layer and a data management layer, wherein the data acquisition access layer comprises an Internet of things gateway, a monitoring acquisition platform and a message forwarding middleware, and the Internet of things gateway and the monitoring acquisition platform are used for acquiring bridge monitoring data;
the data layer comprises a relational database, a big data repository and a MongoDB, and the relational database, the big data repository and the MongoDB are all used for sorting the bridge monitoring data to obtain and store monitoring statistical data;
the system platform layer is used for analyzing and sorting the monitoring statistical data or the bridge monitoring data according to a preset analysis mechanism to obtain monitoring analysis data;
the management service application layer is used for responding to a query instruction and calling the monitoring analysis data or the monitoring statistical data; wherein the content of the first and second substances,
the message forwarding middleware is configured to upload the bridge monitoring data to the relational database, the big data repository, or the mongoDB.
In the embodiment of the application, the data acquisition access layer realizes integration of multiple communication modes such as RS-485/232, TCP and UDP by combining the gateway of the Internet of things and an integrated monitoring and acquisition platform, a universal data interface is configured for bottom layer communication, rich communication protocols are arranged in the universal data interface, rapid access of various sensors in bridge monitoring can be met, unified acquisition and resolving and front-end data preprocessing are carried out, and a rapid and reliable data acquisition solution is provided for various applications,
when a data acquisition mode needs to be added newly, the data acquisition mode only needs to be customized by independently calculating and is configured on a software bus of an acquisition platform, upper-layer software can transmit data without paying much attention to bottom-layer hardware information and without changing a software architecture, the universality is improved,
the data acquisition access layer acquires bridge monitoring data obtained by monitoring of the bridge monitoring field sensor, writes the bridge monitoring data into the data layer, and forwards the real-time monitoring data to the system platform layer through the message middleware Redis cluster and the WebScoket service.
It should be noted that, the data acquisition access layer acquires and accesses data, and directly writes the acquired and accessed data into the message middleware Redis cluster, and performs persistent storage and direct transfer to the HDFS/HBase big data processing framework by using a high-performance distribution subscription mechanism.
In the embodiment of the application, the data layer can carry out unified design on data coding, storage structures, data dictionaries, service data classification and the like among the multi-service systems by using a distributed mass data storage management mode and a data structure, so that interconnection and intercommunication of the data layer of the multi-service system are realized, a data middle station of a bridge monitoring system is conveniently constructed, and data comparison correlation analysis and decision support among cluster systems are provided;
when data management is carried out, data persistence storage is carried out by adopting an ORM (object relational mapping), mainstream database tool drivers such as DB2, Oracle and SQLServer are provided, coupling between an upper layer and a data layer is released, and a data interaction scheme is conveniently provided for different service requirements; the high-performance MongoDB cluster is adopted to carry out storage management on dynamic data, so that unified storage of different monitoring data structures is realized, and the storage and query performance is improved; the method comprises the steps of transferring acquired data and service data streams necessary for data analysis into data storage such as HBase by using a Hadoop distributed computing framework, compiling statistical analysis codes by using components such as Hive in a similar SQL mode, and reducing the development cost of statistical analysis personnel; a Hadoop distributed system is adopted for storing all historical data, and a framework capable of supporting calculation, mining and analysis of mass data is provided.
And the system platform layer is used for summarizing, sorting and comprehensively analyzing data and providing services for quickly constructing various application systems of the management business application layer in a mode of combining the API, the monitoring component and the universal module.
In the embodiment of the application, different bridge monitoring devices can be compatible, information collection and information integration are carried out, and help is provided for monitoring the whole life cycle of a bridge and predicting bridge accidents.
Further, the message forwarding middleware is further configured to upload the bridge monitoring data to the system platform layer.
Specifically, the relational database, the big data repository and the MongoDB are all used for sorting the bridge monitoring data, unifying data coding, storage structures, data dictionaries and business data classification of the bridge monitoring data, and acquiring and storing the monitoring statistical data.
Specifically, the system platform layer includes:
the monitoring basic application unit is used for extracting the monitoring statistical data and the bridge monitoring data, and is also used for data back-end processing, data analysis and display, intelligent early warning and monitoring report generation;
the GIS service unit is used for bridge line tracing, bridge positioning and monitoring positioning;
and the three-dimensional visualization unit is used for monitoring the statistical data, the bridge BIM model and the three-dimensional scene graph to generate a bridge monitoring three-dimensional graph.
The monitoring basic application unit in the system platform layer can be specifically a structure cloud monitoring basic application unit, and the monitoring basic application unit is used for being responsible for realizing core basic functions related to monitoring such as data rear-end processing, real-time data analysis and display, intelligent early warning, monitoring reports, equipment management, monitoring configuration, construction stage definition and setting, mechanism user configuration and system integration and the like;
the GIS service unit is responsible for line tracing, bridge positioning, monitoring interface positioning and other functions of line level and cluster bridges;
the three-dimensional visualization unit is responsible for importing geometric models such as bridge BIM and three-dimensional real scenes and component tree information, and provides three-dimensional scene configuration and visualization functions such as measuring point positioning, measuring point icon configuration, alarm state display based on icon colors, real-time monitoring curve association and the like in a three-dimensional scene.
Preferably, an MVC architecture is adopted among the monitoring base application unit, the GIS service unit and the three-dimensional visualization unit.
Specifically, the management service application layer includes:
the system comprises a medium and small bridge group monitoring system, a construction monitoring system, a large integrated bridge monitoring system, a structure emergency monitoring system and an intelligent bridge management system.
Specifically, an MVC framework is adopted among the medium and small bridge group monitoring system, the construction monitoring system, the large integrated bridge monitoring system, the structure emergency monitoring system and the intelligent bridge management system.
The management business application layer adopts an MVC architecture to construct various bridge monitoring systems for users to check and analyze data based on services provided by a system platform layer, and has three implementation modes:
1) the system is formed by combining general modules provided by a system platform layer, and the individual needs of a shallow system are realized by simple configuration without any code development; such as a medium and small bridge group monitoring system, a structure emergency monitoring system, a load test monitoring system, a construction monitoring system and the like;
2) on the basis of a development framework and a universal module provided by a system platform layer, modular customized development is carried out on management services, and only a service data display module needs to be developed, so that the development cost of the system is greatly reduced; such as bridge turning construction intelligent monitoring system, bridge girder erection machine monitoring system, intelligent construction site monitoring system and the like;
3) the system comprises a reconstruction system, an API provided by an integrated system platform layer and various monitoring components, such as a large-scale bridge health monitoring system, an intelligent bridge management system and the like.
Specifically, the relational database includes DB2, Oracle or SQLServer.
Specifically, the big data repository includes HDFS (Hadoop Distributed File System) or Hbase.
Preferably, the message forwarding middleware is a Remote Dictionary service (Redis) cluster.
It should be noted that, the overall hierarchy and the subsystems of the application adopt an MVC architecture, and the overall hierarchy is divided into a data acquisition access layer, a data layer, a system platform layer and a management service application layer, and each hierarchy has relatively independent functions, clear implementation logic and weak coupling, so that parallel development is facilitated;
the system platform layer provides service for the management business application layer through the API, the monitoring component and the universal module, and various bridge monitoring application systems are conveniently and quickly constructed.
It is noted that, in the present application, relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An integrated bridge monitoring system, the system comprising:
the system comprises a data acquisition access layer, a data management layer and a data management layer, wherein the data acquisition access layer comprises an Internet of things gateway, a monitoring acquisition platform and a message forwarding middleware, and the Internet of things gateway and the monitoring acquisition platform are used for acquiring bridge monitoring data;
the data layer comprises a relational database, a big data repository and a MongoDB, and the relational database, the big data repository and the MongoDB are all used for sorting the bridge monitoring data to obtain and store monitoring statistical data;
the system platform layer is used for analyzing and sorting the monitoring statistical data or the bridge monitoring data according to a preset analysis mechanism to obtain monitoring analysis data;
the management service application layer is used for responding to a query instruction and calling the monitoring analysis data or the monitoring statistical data; wherein the content of the first and second substances,
the message forwarding middleware is configured to upload the bridge monitoring data to the relational database, the big data repository, or the mongoDB.
2. The integrated bridge monitoring system of claim 1, wherein:
the message forwarding middleware is further used for uploading the bridge monitoring data to the system platform layer.
3. The integrated bridge monitoring system of claim 1, wherein:
the relational database, the big data repository and the MongoDB are all used for sorting the bridge monitoring data, unifying data coding, storage structures, data dictionaries and business data classification of the bridge monitoring data, and acquiring and storing the monitoring statistical data.
4. The integrated bridge monitoring system of claim 1, wherein the system platform layer comprises:
the monitoring basic application unit is used for extracting the monitoring statistical data and the bridge monitoring data, and is also used for data back-end processing, data analysis and display, intelligent early warning and monitoring report generation;
the GIS service unit is used for bridge line tracing, bridge positioning and monitoring positioning;
and the three-dimensional visualization unit is used for monitoring the statistical data, the bridge BIM model and the three-dimensional scene graph to generate a bridge monitoring three-dimensional graph.
5. The integrated bridge monitoring system of claim 4, wherein:
an MVC framework is adopted among the monitoring basic application unit, the GIS service unit and the three-dimensional visualization unit.
6. The integrated bridge monitoring system of claim 1, wherein the management business application layer comprises:
the system comprises a medium and small bridge group monitoring system, a construction monitoring system, a large integrated bridge monitoring system, a structure emergency monitoring system and an intelligent bridge management system.
7. The integrated bridge monitoring system of claim 6, wherein:
MVC architecture is adopted among the medium and small bridge group monitoring system, the construction monitoring system, the large integrated bridge monitoring system, the structure emergency monitoring system and the intelligent bridge management system.
8. The integrated bridge monitoring system of claim 1, wherein:
the relational database includes DB2, Oracle or SQLServer.
9. The integrated bridge monitoring system of claim 1, wherein:
the big data repository includes HDFS or Hbase.
10. The integrated bridge monitoring system of claim 1, wherein:
the message forwarding middleware is a Redis cluster.
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