CN111367681B - Bridge design system oriented to cloud computing cluster under high load state - Google Patents
Bridge design system oriented to cloud computing cluster under high load state Download PDFInfo
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Abstract
The invention relates to a bridge design system facing a cloud computing cluster in a high-load state, wherein a load balancing module in the system shunts users to a specific cloud server according to a load balancing algorithm; the cloud server converts the task instruction information into task instruction information and sends the task instruction information to the task distribution module; the task distribution module distributes the instruction information to the computing server through a load sharing mode after receiving the instruction; and the computing server performs checksum splitting on the data to complete geometric computation and drawing, and uploads the drawing to the cloud storage server. The system realizes the aim of multi-user multi-frequency collaborative office, can carry out the collaborative design of the bridge under the high load state, can select the drawn bridge by the user, quickly completes the accurate drawing of the drawing by filling in parameters, supports the simultaneous online drawing of a large number of users, and improves the drawing efficiency exponentially.
Description
Technical Field
The invention relates to the technical field of bridge engineering design, in particular to a bridge design system oriented to a cloud computing cluster in a high-load state.
Background
At present, most bridge design programs are single-machine programs, only can be used by a single user, multi-user collaborative operation cannot be realized, and complex bridge design can be only carried out in series, so that the efficiency is low. Along with the development of industrialization, the bridge has higher and higher profession and more complex structure, and the bridge design system capable of realizing the collaborative design of multiple persons becomes the current urgent problem to be solved.
Disclosure of Invention
The invention aims to provide a bridge design system facing a cloud computing cluster in a high-load state, which can realize multi-user collaborative design, support data sharing and can perform remote drawing and computing.
The technical scheme adopted by the invention is as follows:
the bridge design system facing the cloud computing cluster in the high load state is characterized in that:
the system comprises a load balancing module, a cloud server cluster, a task distribution module, a computing server cluster and a cloud storage server;
the load balancing module shunts the user to a specific cloud server according to a load balancing algorithm; the cloud server converts the task instruction information into task instruction information and sends the task instruction information to the task distribution module; the task distribution module distributes the instruction information to the computing server through a load sharing mode after receiving the instruction; and the computing server performs checksum splitting on the data to complete geometric computation and drawing, and uploads the drawing to the cloud storage server.
The system adopts a server cluster mode, and a plurality of cloud servers and computing servers are deployed to form a cloud server cluster and a computing server cluster respectively.
The cloud server cluster is connected with the load balancing module and the task distribution module, the load balancing module receives login requests of a large number of users, and the users are shunted to different cloud servers according to the load condition of the cloud server cluster;
the task distribution module is connected with the cloud server cluster and the computing server cluster, and distributes drawing task instructions of the cloud server cluster to different computing servers according to a load sharing principle.
The cloud server comprises a database module, a web front-end module and a back-end server;
the user selects items and bridges according to the self requirements, the bridge parameters are input, and the web front-end module transmits the parameters to the back-end server; the back-end server formats the parameters, converts the parameters into task instruction information and sends the task instruction information to the task distribution module; the parameters are stored in a database module.
The web module adopts a front-end and back-end separation mode, static files are deployed to a front-end server, back-end files are deployed to a back-end server, URL paths for realizing each function are arranged at the back end, the front end realizes the operations of inquiring, adding, modifying and deleting data to the back end by accessing corresponding URLs, and the front-end server also plays a role of a reverse proxy;
the user sends a request to the rear end through a webpage clicking event, the rear end receives the request, format conversion is carried out on the request data, operation is carried out according to the functional multi-data to be realized, connection is established between the model class and the database, the database is added, deleted and checked, the database returns the result to the model class, the model class returns the result to the view through changing the attribute, the view returns the returned result of the model class to the template file, page rendering is carried out, and finally the rendered result is returned to the user.
The database module adopts a relational database to configure master-slave separation, the master database is responsible for writing and updating data, the slave database is responsible for inquiring externally provided data, and all data of the master server are backed up dynamically.
The computing server comprises a scheduling module, a computing module and a drawing module;
the computing server receives the instruction message and distributes the message to the computing module and the drawing module through the scheduling module; the calculation module performs checksum splitting on the message data and completes geometric calculation; and the drawing module finishes drawing of the drawing and uploads the drawing to the cloud storage server.
The scheduling module adopts a first-in first-out mode, the scheduling module operates all the time, receives drawing information from the cloud server, transmits the drawing information to the computing module, processes the information data by the computing module and transmits the processed information data to the drawing module for drawing.
The process of checking the message data by the computing module is as follows:
judging whether the message identification field is a drawing message or not, if not, not processing the message;
checking each parameter of the bridge, if the parameter value does not meet the requirement, if so, drawing the graph which does not meet the requirement, and inquiring log to quickly locate.
And after the drawing module finishes drawing the drawing and uploads the drawing to the cloud storage server, the front end is notified of finishing drawing, and the user can successfully download the drawing.
The invention has the following advantages:
the system realizes the goal of multi-user multi-frequency collaborative office, can carry out the collaborative design of the bridge under the high load state, can select the drawn bridge by the user, quickly completes the accurate drawing of the drawing by filling in parameters, supports the simultaneous online drawing of a large number of users, and improves the drawing efficiency exponentially.
Drawings
FIG. 1 is a general block diagram of the present invention;
FIG. 2 is a diagram of a cloud server architecture;
FIG. 3 is a computing server graph rendering flow diagram.
Detailed Description
The present invention will be described in detail with reference to the following embodiments.
The invention relates to a bridge design system facing a cloud computing cluster in a high load state, and relates to a bridge design system facing a multi-user multi-frequency collaborative office in a high load state. The system comprises a load balancing module, a cloud server cluster, a task distribution module, a computing server cluster and a cloud storage server. The load balancing module shunts the user to a specific cloud server according to a load balancing algorithm; the cloud server converts the task instruction information into task instruction information and sends the task instruction information to the task distribution module; the task distribution module distributes the instruction information to the computing server through a load sharing mode after receiving the instruction; and the computing server performs checksum splitting on the data to complete geometric computation and drawing, and uploads the drawing to the cloud storage server.
The system adopts a server cluster mode, so that the user flow can be increased to prevent network congestion, and a plurality of cloud servers and computing servers are deployed to form a cloud server cluster and a computing server cluster respectively. The cloud server cluster is connected with the load balancing module and the task distribution module, the load balancing module receives login requests of a large number of users, and the users are shunted to different cloud servers according to the load condition of the cloud server cluster; the task distribution module is connected with the cloud server cluster and the computing server cluster, and distributes drawing task instructions of the cloud server cluster to different computing servers according to a load sharing principle.
The cloud server comprises a database module, a web front-end module and a back-end server. The user selects items and bridges according to the self requirements, the bridge parameters are input, and the web front-end module transmits the parameters to the back-end server; the back-end server formats the parameters, converts the parameters into task instruction information and sends the task instruction information to the task distribution module; the parameters are stored in a database module. The web module adopts a front-end and back-end separation mode, static files are deployed to a front-end server, back-end files are deployed to a back-end server, URL paths for realizing each function are arranged at the back end, the front end realizes the operations of inquiring, adding, modifying and deleting data to the back end by accessing corresponding URLs, and the front-end server also plays a role of a reverse proxy; the user sends a request to the rear end through a webpage clicking event, the rear end receives the request, format conversion is carried out on the request data, operation is carried out according to the functional multi-data to be realized, connection is established between the model class and the database, the database is added, deleted and checked, the database returns the result to the model class, the model class returns the result to the view through changing the attribute, the view returns the returned result of the model class to the template file for page rendering, and finally the rendered result is returned to the user. The database module adopts a relational database to configure master-slave separation, the master database is responsible for writing and updating data, the slave database is responsible for inquiring externally provided data, and all data of the master server are backed up dynamically.
The computing server comprises a scheduling module, a computing module and a drawing module; the computing server receives the instruction message and distributes the message to the computing module and the drawing module through the scheduling module; the calculation module performs checksum splitting on the message data and completes geometric calculation; and the drawing module finishes drawing of the drawing and uploads the drawing to the cloud storage server. The scheduling module adopts a first-in first-out mode, the scheduling module operates all the time, receives drawing information from the cloud server, transmits the drawing information to the computing module, processes the information data by the computing module and transmits the processed information data to the drawing module for drawing. The process of checking the message data by the computing module is as follows: judging whether the message identification field is a drawing message or not, if not, not processing the message; checking each parameter of the bridge, if the parameter value does not meet the requirement, if so, drawing the graph which does not meet the requirement, and inquiring log to quickly locate. And after the drawing module finishes drawing the drawing and uploads the drawing to the cloud storage server, the front end is notified of finishing drawing, and the user can successfully download the drawing.
The invention is described in further detail below with reference to the accompanying drawings:
referring to fig. 1, the system of the present invention includes a load balancing module, a cloud server cluster, a task distribution module, a computing server cluster, and a cloud storage server. The cloud server comprises a database module, a web front-end module and a back-end server, and the computing server comprises a scheduling module, a computing module and a drawing module.
When a user logs in the system, the load balancing module shunts the user to a specific cloud server according to a load balancing algorithm, the user can select a project and a bridge according to own requirements, the bridge parameters are input, the web front-end module transmits the parameters to the back-end server, and the back-end server formats the parameters, converts the parameters into task instruction information and transmits the task instruction information to the task distribution module. The task instruction message format used by the system is a data dictionary format, including but not limited to json, xml, etc. data formats.
The task distribution module receives the new instruction, distributes the instruction information to the calculation server by using the load sharing mode, the calculation server distributes the information to the calculation module and the drawing module by using the scheduling module, and the scheduling module uses the first-in first-out mode. The calculation module performs preliminary checksum splitting on the message data and performs some related geometric calculations, such as perimeter and area calculations. The drawing module finishes drawing of the drawing and uploads the drawing to the cloud storage server, the front end is notified of the drawing completion, and a user can download the drawing. The process is as follows: after drawing, an http message is sent to a cloud server to inform a specific position where a drawing is stored, and at the moment, a user can download a graphic file on a webpage; the user downloads the drawn paper locally by clicking on the download drawing tab of the web page.
Referring to fig. 2, the web module adopts a front-end and back-end separation mode, static files are deployed to a front-end server, back-end files are deployed to a back-end server, URL paths for each function implementation are set at the back-end, the front-end queries, adds, modifies, deletes data and the like to the back-end by accessing corresponding URLs, and the front-end server also acts as a reverse proxy.
The front-end code and the back-end code are used for operating on the server through configuration files to configure correct parameters, the functions of a certain module are added or deleted, and only the responding code needs to be changed on the server.
The user sends a request to the rear end through a webpage clicking event, the rear end receives the request, format conversion is carried out on the request data, operation is carried out according to the functional multi-data to be realized, connection is established between the model class and the database, the database is added, deleted and checked, the database returns the result to the model class, the model class returns the result to the view through changing the attribute, the view returns the returned result of the model class to the template file, page rendering is carried out, and finally the rendered result is returned to the user.
The system adopts a relational database, configures master-slave separation, the master database is responsible for writing and updating data, the slave database is responsible for providing data inquiry externally, the performance of the database is improved, all data of the master server are backed up on the slave server dynamically, and the safety of the data is ensured.
Referring to fig. 3, taking the stage assembly box Liang Tuzhi design as an example, the system execution flow is as follows:
1. the user accesses the system homepage, registers as a website user, and enters the design system in a login state.
2. Selecting project management, the user can create a design group, join an existing design group, edit and delete a design group created by himself.
3. The user selects a design group, enters a project list page, selects a project of the group to be operated, enters a bridge list page, selects a drawing type, inputs parameters of the drawing of the type, clicks to generate the drawing, packages the parameters of the drawing into a task instruction message and sends the task instruction message to a computing server, enters a drawing process, clicks to download the drawing, prompts the page to be drawn if drawing is not completed, and successfully downloads the drawing if drawing is completed.
4. The computing server receives the message, distributes the message to a specific drawing program through a dispatching mechanism, and the drawing program firstly analyzes the parameters and checks the parameters. If the parameter carries the label mark is a drawing message, discarding the message if not, so as to prevent the server from being attacked by unknown message; if so, the parameters are legally checked, for example, the elevation height of a certain section cannot be smaller than 0, and individual parameters cannot be deleted.
5. After step 3 is completed, the drawing program starts the drawing flow: referring to fig. 3, a segment-spliced girder is assembled from a plurality of segments, the types of segments including end beam segments, standard segments, center beam segments, knuckle segments, etc., each segment having an elevation, a plan, and a cross-sectional view. Each type of segment is a module, and the imaging is formed by assembling a plurality of modules. Taking elevation drawing as an example, the parameters include common parameters (project number, bridge number, drawing name, scale) and parameters of each segment (segment type X, parameter 1, parameter 2,..parameter N), first determining a drawing origin, reading a first segment parameter, drawing the first segment, then moving the drawing origin position, adding the segment length to the new position, reading a second segment parameter, drawing the second segment, and so on until all segments are drawn, and the drawing flow of the plane and the cross section is similar to the elevation drawing flow.
6. And (5) drawing a table. Many bridge drawings include tables that relate parameters of the length of the beam segment, the volume of the beam segment, etc. of each segment, which are calculated from input parameters.
After the drawing of the computing server is completed, the graph is uploaded to the cloud storage server, the cloud server is informed of the position of the graph by sending an Http message, a web front-end page of the cloud server sets a downloading graph button to be available, and a user downloads the graph to the local through the downloading button.
The content of the invention is not limited to the examples listed, and any equivalent transformation to the technical solution of the invention that a person skilled in the art can take on by reading the description of the invention is covered by the claims of the invention.
Claims (9)
1. The bridge design system facing the cloud computing cluster in the high load state is characterized in that:
the system comprises a load balancing module, a cloud server cluster, a task distribution module, a computing server cluster and a cloud storage server;
the load balancing module shunts the user to a specific cloud server according to a load balancing algorithm; the cloud server converts the task instruction information into task instruction information and sends the task instruction information to the task distribution module; the task distribution module distributes the instruction information to the computing server through a load sharing mode after receiving the instruction; the computing server performs verification and splitting on the data to complete geometric computation and drawing, and uploads the drawing to the cloud storage server;
the cloud server comprises a database module, a web front-end module and a back-end server;
the user selects items and bridges according to the self requirements, the bridge parameters are input, and the web front-end module transmits the parameters to the back-end server; the back-end server formats the parameters, converts the parameters into task instruction information and sends the task instruction information to the task distribution module; the parameters are stored in a database module.
2. The cloud computing cluster-oriented bridge design system under high load conditions of claim 1, wherein:
the system adopts a server cluster mode, and a plurality of cloud servers and computing servers are deployed to form a cloud server cluster and a computing server cluster respectively.
3. The cloud computing cluster-oriented bridge design system under high load conditions of claim 2, wherein:
the cloud server cluster is connected with the load balancing module and the task distribution module, the load balancing module receives login requests of a large number of users, and the users are shunted to different cloud servers according to the load condition of the cloud server cluster;
the task distribution module is connected with the cloud server cluster and the computing server cluster, and distributes drawing task instructions of the cloud server cluster to different computing servers according to a load sharing principle.
4. The cloud computing cluster-oriented bridge design system under high load conditions of claim 3, wherein:
the web module adopts a front-end and back-end separation mode, static files are deployed to a front-end server, back-end files are deployed to a back-end server, URL paths for realizing each function are arranged at the back end, the front end realizes the operations of inquiring, adding, modifying and deleting data to the back end by accessing corresponding URLs, and the front-end server also plays a role of a reverse proxy;
the user sends a request to the rear end through a webpage clicking event, the rear end receives the request, format conversion is carried out on the request data, operation is carried out according to the functional multi-data to be realized, connection is established between the model class and the database, the database is added, deleted and checked, the database returns the result to the model class, the model class returns the result to the view through changing the attribute, the view returns the returned result of the model class to the template file, page rendering is carried out, and finally the rendered result is returned to the user.
5. The cloud computing cluster-oriented bridge design system of claim 4, wherein:
the database module adopts a relational database to configure master-slave separation, the master database is responsible for writing and updating data, the slave database is responsible for inquiring externally provided data, and all data of the master server are backed up dynamically.
6. The cloud computing cluster-oriented bridge design system of claim 5, wherein:
the computing server comprises a scheduling module, a computing module and a drawing module;
the computing server receives the instruction message and distributes the message to the computing module and the drawing module through the scheduling module; the calculation module performs checksum splitting on the message data and completes geometric calculation; and the drawing module finishes drawing of the drawing and uploads the drawing to the cloud storage server.
7. The cloud computing cluster-oriented bridge design system of claim 6, wherein:
the scheduling module adopts a first-in first-out mode, the scheduling module operates all the time, receives drawing information from the cloud server, transmits the drawing information to the computing module, processes the information data by the computing module and transmits the processed information data to the drawing module for drawing.
8. The cloud computing cluster-oriented bridge design system of claim 7, wherein:
the process of checking the message data by the computing module is as follows:
judging whether the message identification field is a drawing message or not, if not, not processing the message;
checking each parameter of the bridge, if the parameter value does not meet the requirement, if so, drawing the graph which does not meet the requirement, and inquiring log to quickly locate.
9. The cloud computing cluster-oriented bridge design system under high load conditions of claim 8, wherein:
and after the drawing module finishes drawing the drawing and uploads the drawing to the cloud storage server, the front end is notified of finishing drawing, and the user can successfully download the drawing.
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| CN112882817B (en) * | 2021-03-24 | 2022-08-12 | 国家超级计算天津中心 | Workflow processing method based on super computer |
| CN113343337A (en) * | 2021-06-04 | 2021-09-03 | 中交第一公路勘察设计研究院有限公司 | Mapping method based on segment prefabricated assembled box girder common reinforcement map parameter framework |
| CN113343327A (en) * | 2021-06-04 | 2021-09-03 | 中交第一公路勘察设计研究院有限公司 | Mapping method based on prestress parameter framework in segment prefabricated assembled box girder body |
| CN113326553A (en) * | 2021-06-04 | 2021-08-31 | 中交第一公路勘察设计研究院有限公司 | Mapping method based on general construction drawing parameter architecture of segmental prefabricated assembled box girder |
| CN115587517B (en) * | 2022-11-01 | 2023-06-09 | 杭州麦科斯韦网络科技有限公司 | Intelligent design system for electromechanical equipment number based on cloud computing |
| CN115665120B (en) * | 2022-12-28 | 2023-03-21 | 浙江华东工程数字技术有限公司 | Cloud CAD processing method and system, computer equipment and storage medium |
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