CN113091825A - Edge side processing method of bridge safety monitoring data - Google Patents
Edge side processing method of bridge safety monitoring data Download PDFInfo
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- CN113091825A CN113091825A CN202110410187.2A CN202110410187A CN113091825A CN 113091825 A CN113091825 A CN 113091825A CN 202110410187 A CN202110410187 A CN 202110410187A CN 113091825 A CN113091825 A CN 113091825A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 54
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Abstract
The invention provides an edge side processing method of bridge safety monitoring data, wherein an Internet of things sensor deployed on a bridge site acquires safety monitoring data influencing the safety condition of a bridge; the method comprises the steps that the sensor of the internet of things sends collected safety monitoring data to the edge side intelligent terminal, the edge side intelligent terminal converts and unifies the data format of the collected safety monitoring data, then the converted and unified safety monitoring data are stored, then the stored safety monitoring data are processed, and finally a data processing result is sent to a back-end data system or a cloud data analysis platform.
Description
Technical Field
The invention belongs to the technical field of bridge monitoring, and particularly relates to an edge side processing method of bridge safety monitoring data.
Background
In a modern highway traffic system, a bridge serves as a key node of road transportation, and the health condition of the bridge plays a vital role in ensuring normal use, safe operation, service level and the like of the highway traffic system. With the development of highway network construction in China, the bridge age of bridges is continuously increased, the problems of bridge maintenance and management are increasingly serious, the risk of a bridge safety management system is continuously increased, and higher requirements are put forward on the maintenance management level and the technical level of the bridges.
The bridge maintenance management system aims to solve the management difficulties that data are difficult to acquire, analyze and apply in bridge maintenance management. Technicians introduce big data, cloud computing and Internet of things technology into bridge maintenance management, and the difficulties of data acquisition, analysis and application are solved by deploying Internet of things sensors and constructing a bridge maintenance cloud platform. Under the traditional cloud platform architecture, a large amount of repeated and invalid data are transmitted into a cloud platform by the sensor of the internet of things for calculation and storage. With frequent data interaction between the sensor of the internet of things and the cloud platform server, transmission congestion between the data server and the terminal is easily caused, the data transmission rate is reduced, even great response time delay is caused, and the operation efficiency of the cloud platform is greatly reduced.
Disclosure of Invention
The present invention is made to solve the above problems, and an object of the present invention is to provide a method for processing bridge safety monitoring data on an edge side, which can reduce data acquisition, transmission, and processing pressures of a background server and improve data application efficiency. The invention utilizes the edge side equipment to store and preprocess the data of bridge structure stress, structure temperature, structure deformation and the like, and solves the technical problem of data analysis of the edge side equipment in bridge data analysis.
The invention provides an edge side processing method of bridge safety monitoring data, which is characterized by comprising the following steps: the method comprises the steps that an Internet of things sensor deployed on a bridge site acquires safety monitoring data influencing the safety condition of a bridge;
the sensor of the internet of things sends the acquired safety monitoring data to the edge side intelligent terminal, the edge side intelligent terminal converts and unifies the data format of the acquired safety monitoring data, then stores the converted and unified safety monitoring data, then processes the stored safety monitoring data, and finally sends the data processing result to a back-end data system or a cloud data analysis platform,
the edge intelligent terminal is provided with a plurality of data processing rules, each data processing rule is executed through one or more preset rule engines which are correspondingly associated with the data processing rule, at least one data processing model is packaged in each preset rule engine, and the data processing model is used for realizing one or more data processing.
Further, the method for processing the edge side of the bridge safety monitoring data provided by the invention can also have the following characteristics: wherein, thing networking sensor includes: acceleration sensor, strain sensor, temperature sensor.
Further, the method for processing the edge side of the bridge safety monitoring data provided by the invention can also have the following characteristics: the sensor of the internet of things sends the collected safety monitoring data to the edge side intelligent terminal through an industrial Ethernet, an industrial field bus and an industrial optical fiber network.
Further, the method for processing the edge side of the bridge safety monitoring data provided by the invention can also have the following characteristics: the edge side intelligent terminal uses protocol analysis and conversion and middleware to realize the conversion and unification of the industrial communication protocol data format.
Further, the method for processing the edge side of the bridge safety monitoring data provided by the invention can also have the following characteristics: the edge side intelligent terminal stores the converted and unified safety monitoring data through a distributed storage technology.
Further, the method for processing the edge side of the bridge safety monitoring data provided by the invention can also have the following characteristics: and compressing and packaging the data processing result before the data processing result is sent to the cloud platform server.
Further, the method for processing the edge side of the bridge safety monitoring data provided by the invention can also have the following characteristics: and the data processing result is sent to a back-end data system or a cloud data analysis platform in an HTTPS and MQTT mode.
The invention has the following advantages:
the edge side processing method of the bridge safety monitoring data, provided by the invention, endows the analysis capability of the edge detection equipment on the bridge operation and maintenance data, and enables the edge detection equipment to preprocess the collected data through the built-in rule, thereby reducing the data collection, transmission and processing pressure of the background server and improving the data application efficiency.
Drawings
FIG. 1 is a flow chart of an edge side processing method of bridge safety monitoring data according to the present invention;
fig. 2 is an architecture diagram of an application of an edge termination device in the present invention.
Detailed Description
In order to make the technical means, creation features, achievement objectives and effects of the present invention easy to understand, the following embodiments specifically describe the edge side processing method of the bridge safety monitoring data in accordance with the accompanying drawings.
As shown in fig. 1, the method for processing the edge side of the bridge safety monitoring data includes the following steps:
and S1, acquiring safety monitoring data influencing the safety condition of the bridge by the sensor of the Internet of things deployed on the bridge site. In this embodiment, the internet of things sensor includes: the system comprises an acceleration sensor, a strain sensor, a temperature sensor and the like, and is used for collecting various safety monitoring data such as vibration acceleration data, bridge body strain data, bridge site temperature data and the like which affect the safety condition of a bridge.
And step S2, the sensor of the Internet of things sends the acquired safety monitoring data to the edge side intelligent terminal, and the edge side intelligent terminal converts and unifies the data format. In this embodiment, the sensor of the internet of things sends the acquired safety monitoring data to the edge-side intelligent terminal through the industrial ethernet, the industrial field bus and the industrial optical fiber network. After receiving the safety monitoring data, the edge side intelligent terminal realizes the conversion and unification of data formats of industrial communication protocols such as Modus, CAN, Profinet and the like by using the technologies such as protocol analysis and conversion, middleware and the like.
And step S3, the edge side intelligent terminal stores the converted and unified safety monitoring data. In this embodiment, the edge-side intelligent terminal stores the converted and unified security monitoring data through a distributed storage technology.
And step S4, the edge side intelligent terminal processes the stored safety monitoring data. The edge side intelligent terminal is provided with a plurality of data processing rules, each data processing rule is executed through one or more preset rule engines which are correspondingly associated with the data processing rule, at least one data processing model is packaged in each preset rule engine, and the data processing model is used for realizing one or more data processing. The preset rule engine executes the corresponding data processing rule through the data mathematical and physical model encapsulated in the preset rule engine so as to realize the data processing operation of marketing. When the edge side intelligent terminal processes data, the preset rule engine associated with one or more data processing rules to be executed is obtained through interactive configuration, so that the called preset rule engine executes the corresponding data processing rules, and the corresponding data processing steps are completed.
And step S5, the edge side intelligent terminal sends the data processing result to a back-end data system or a cloud data analysis platform.
In this embodiment, before the edge-side intelligent terminal sends the data processing result to the cloud platform server, the data processing result is compressed and encapsulated. And the edge side intelligent terminal sends the data processing result to a back-end data system or a cloud data analysis platform in an HTTPS (hypertext transfer protocol secure) or MQTT (maximum transmission time) mode.
An application architecture of edge end equipment for implementing the edge side processing method of bridge safety monitoring data is shown in fig. 2, the application architecture adopts a layered application architecture design mode, and the architecture is divided into the following components according to application functions of each layer: the system comprises a data acquisition layer, a protocol conversion layer, a data storage layer, a rule engine layer, a data model layer and a data result set layer.
The data acquisition layer acquires safety monitoring data influencing the safety of the bridge through deploying sensors (acceleration sensors, strain sensors, temperature sensors and the like) of the internet of things on the bridge site. The protocol conversion layer comprises Modbus protocol conversion, CAN protocol conversion, Profine protocol conversion and the like, and utilizes OPC UA technology to realize conversion of different protocols such as industrial Ethernet, industrial field bus and the like. The data storage layer is used for caching/storing data, and the collected safety monitoring data are directly stored in the data collection layer through distributed storage technologies such as Ceph and HDFS. The rules engine layer provides common rules processing engines such as: the rule engine layer can efficiently and quickly execute corresponding data processing rules. The data model layer encapsulates various common data cleaning, data mining and data analysis models for realizing the functions of data deduplication and screening. And the data result set layer is used for compressing and packaging the data processing result and transmitting the data processing result to a back-end data system or a cloud data analysis platform.
The above embodiments are preferred examples of the present invention, and are not intended to limit the scope of the present invention.
Claims (7)
1. An edge side processing method of bridge safety monitoring data is characterized by comprising the following steps:
the method comprises the steps that an Internet of things sensor deployed on a bridge site acquires safety monitoring data influencing the safety condition of a bridge;
the sensor of the internet of things sends the acquired safety monitoring data to the edge side intelligent terminal, the edge side intelligent terminal converts and unifies the data format of the acquired safety monitoring data, then stores the converted and unified safety monitoring data, then processes the stored safety monitoring data, and finally sends the data processing result to a back-end data system or a cloud data analysis platform,
the edge intelligent terminal is provided with a plurality of data processing rules, each data processing rule is executed through one or more preset rule engines which are correspondingly associated with the data processing rule, at least one data processing model is packaged in each preset rule engine, and the data processing model is used for realizing one or more data processing.
2. An edge side processing method of bridge safety monitoring data according to claim 1, characterized in that:
wherein, thing networking sensor includes: acceleration sensor, strain sensor, temperature sensor.
3. An edge side processing method of bridge safety monitoring data according to claim 1, characterized in that:
the sensor of the internet of things sends the collected safety monitoring data to the edge side intelligent terminal through an industrial Ethernet, an industrial field bus and an industrial optical fiber network.
4. An edge side processing method of bridge safety monitoring data according to claim 1, characterized in that:
the edge side intelligent terminal uses protocol analysis and conversion and middleware to realize the conversion and unification of the industrial communication protocol data format.
5. An edge side processing method of bridge safety monitoring data according to claim 1, characterized in that:
the edge side intelligent terminal stores the converted and unified safety monitoring data through a distributed storage technology.
6. An edge side processing method of bridge safety monitoring data according to claim 1, characterized in that:
and compressing and packaging the data processing result before the data processing result is sent to the cloud platform server.
7. An edge side processing method of bridge safety monitoring data according to claim 1, characterized in that:
and the data processing result is sent to a back-end data system or a cloud data analysis platform in an HTTPS and MQTT mode.
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Application publication date: 20210709 |