CN112241409A - Fatigue test data structured storage method and system - Google Patents
Fatigue test data structured storage method and system Download PDFInfo
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- CN112241409A CN112241409A CN202011107017.9A CN202011107017A CN112241409A CN 112241409 A CN112241409 A CN 112241409A CN 202011107017 A CN202011107017 A CN 202011107017A CN 112241409 A CN112241409 A CN 112241409A
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Abstract
The application provides a fatigue test data structured storage method and a system, wherein the method comprises the following steps: respectively acquiring structure response data of each system of an aeronautical structure test by utilizing at least two docking servers through a fifth generation mobile communication technology (5G, 5th generation mobile networks); performing data structuring processing on the structural response data by using a forwarding server according to the time identifier and the test information identifier to obtain synchronous data; and the storage management server performs classified storage on the synchronous data according to the time identification and the test information identification.
Description
Technical Field
The application relates to the field of communication, in particular to a fatigue test data structured storage method and system.
Background
The structural response data required to be collected in the full-machine fatigue test comprises various types such as feedback, strain, displacement, video, grating fiber, acoustic emission, piezoelectricity and the like, and is derived from equipment such as self-coordinated loading control, collection, video monitoring, structural health monitoring and the like. The data are stored in the self-contained format of each device, the types, sizes and storage positions of the stored files are different, and no associated information exists among the stored data.
Therefore, in the prior art, when data playback and data retrieval are performed, manual data extraction, format conversion and rough time alignment are required, the data playback and retrieval efficiency is low, the accuracy is poor, overall comprehensive judgment of aircraft structure response is not facilitated, the problem that response data of a single system structure is abnormal and response data of other system structures cannot be mutually verified is easily caused.
Disclosure of Invention
In order to solve the technical problems, the application provides a fatigue test data structured storage method and system, which can greatly improve the retrieval efficiency and the data utilization rate of structural response data.
In order to achieve the object of the present invention, in a first aspect, the present application provides a fatigue test data structured storage method, including:
respectively acquiring structure response data of each system of an aeronautical structure test by utilizing at least two docking servers through a fifth generation mobile communication technology (5G, 5th generation mobile networks);
performing data structuring processing on the structural response data by using a forwarding server according to the time identifier and the test information identifier to obtain synchronous data;
and the storage management server performs classified storage on the synchronous data according to the time identification and the test information identification.
Specifically, each system of the aviation structure test comprises a coordinated loading control system, an acquisition system, a video monitoring system and a structure health monitoring system.
Specifically, the method for acquiring the structural response data of each system of the aviation structural test by using at least two docking servers respectively specifically comprises the following steps:
the method comprises the steps of utilizing at least two docking servers to respectively collect structural response data of each system of the aviation structure test in a form of a shared Data (DAT) file, a Software Development Kit (SDK) or an Application Programming Interface (API).
Specifically, the performing, by using the forwarding server, data structuring processing on the structure response data to obtain synchronous data specifically includes:
using the system time of the data acquisition system as a time mark to carry out data mark on the structural response data;
and performing data identification on the structural response data by using test information in the coordinated loading control system as a test information identification.
Specifically, the test information of the coordinated loading control system includes a row number, a load, and a rise and fall number.
In a second aspect, the present application provides a fatigue test data structured storage system, where the fatigue test data structured storage system includes a docking server 1, a docking server 2, a docking server 3, a docking server 4, a forwarding server, a storage management server, and a storage node, where:
the docking server 1, the docking server 2, the docking server 3 and the docking server 4 are all connected with the forwarding server; the forwarding server is connected with the storage management server; the storage management server is connected with the storage nodes; the docking server 1 is connected with a coordinated loading control system, the docking server 2 is connected with an acquisition system, the docking server 3 is connected with a video monitoring system, and the docking server 4 is connected with a structural health monitoring system;
the system comprises a docking server 1, a docking server 2, a docking server 3 and a docking server 4, which are respectively used for extracting the structural response data of a coordinated loading control system, an acquisition system, a video monitoring system and a structural health monitoring system and sending the structural response data to a forwarding server;
the forwarding server is used for processing the received structure response data to obtain synchronous data and forwarding the synchronous data to the storage management server;
the storage management server is used for receiving the synchronous data and sending the synchronous data to the storage nodes;
and the storage node is used for storing the synchronous data.
Specifically, the docking server 1 is in a form of sharing a DAT file to a coordinated loading control system; the docking server 2 docks the acquisition system in a form of sharing a DAT file; the docking server 3 docks the video monitoring system in an SDK/API mode; the docking server 4 is docked with the structural health monitoring system in an SDK/API manner.
Specifically, the forwarding server is configured to process the received structure response data, specifically, perform time marking with a timestamp as an identifier, perform test marking with the coordinated loading control system test information as an identifier, obtain synchronous data, and forward the synchronous data to the storage management server.
To sum up, the fatigue test data structured storage method provided by the application establishes an independent data acquisition platform in the full-machine fatigue test, extracts structural response data in a plurality of independent systems, identifies all data by using timestamps and test operation information, and then performs classified storage. The retrieval efficiency and the data utilization rate of the structural response data can be greatly improved, and meanwhile, the overall data display and playback capacity can be greatly improved; the test abnormal response identification can be accelerated, and invalid data can be eliminated; can accelerate crack analysis and positioning.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
Fig. 1 is a schematic structural diagram of an independent data acquisition system provided in the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
Example one
In order to solve the problems of independent storage and low utilization rate of the fatigue test data of the whole machine, a structured storage method of the fatigue test data is provided and applied to an independent data acquisition system.
As shown in fig. 1, the independent data acquisition system includes a docking server 1, a docking server 2, a docking server 3, a docking server 4, a forwarding server, a storage management server, and a storage node. The docking server 1, the docking server 2, the docking server 3 and the docking server 4 are all connected with the forwarding server; the forwarding server is connected with the storage management server; the storage management server is connected with the storage nodes.
The system comprises a docking server 1, a docking server 2, a docking server 3 and a docking server 4, wherein the docking server 1, the docking server 2, the docking server 3 and the docking server 4 are respectively docked with a coordinated loading control system, an acquisition system, a video monitoring system and a structural health monitoring system, and are used for extracting structural response data of the coordinated loading control system, the acquisition system, the video monitoring system and the structural health monitoring system and sending the structural response data to a forwarding server.
In practical application, the specific docking mode of each docking server and each independent system is as follows: the docking server 1 is used for docking a coordinated loading control system in a form of sharing a DAT file; the docking server 2 docks the acquisition system in a form of sharing a DAT file; the docking server 3 docks the video monitoring system in an SDK/API mode; the docking server 4 is docked with the structural health monitoring system in an SDK/API manner.
It is to be added that the coordinated loading control system is a control system applied to an aeronautical structure test, and the structure health monitoring system is an airplane structure health monitoring system applied to the aeronautical structure test.
It should be noted that the structural response data is sensor feedback, strain, displacement, video, grating optical fiber, acoustic emission, piezoelectricity and other response data when the test piece is subjected to the action of an external load in the aviation structure test process, wherein the sensor feedback is used for representing the actual applied load of the coordinated loading control system, the strain is used for representing the stress of the aviation structure, the displacement is used for representing the deformation of the aviation structure, the video is used for recording the test state of the aviation structure, and the grating optical fiber, the acoustic emission, the piezoelectricity and the like are used for representing the health level of the aviation structure.
And the forwarding server is used for processing the received structure response data, specifically, using the timestamp as an identifier for time marking, using the test information of the coordinated loading control system as an identifier for test marking, and obtaining the synchronous data. And forwarding the synchronous data to a storage management server.
In practical applications, the test information of the coordinated loading control system includes a number of rows, a load, and a number of landing, which is not specifically limited in this application.
And the storage management server receives the synchronous data and sends the synchronous data to the storage nodes.
Wherein, the storage management server classifies and stores the marked data.
And the storage node performs data storage on the synchronous data.
In summary, the fatigue test data structured storage method provided by the application utilizes an independent data acquisition platform, and extracts the structural response data of a plurality of systems such as coordinated loading control, acquisition, video monitoring and structural health monitoring in real time in the form of shared data files and SDK/API, takes the timestamp of the current platform as a time mark, takes the test operation information of the coordinated loading control system as a test mark, marks all data, and performs classified storage, realizes global unified mark storage of the structural response data, and provides a basis for global synchronous playback of the data.
Example two
The application provides a fatigue test data structured storage method, which is applied to an independent data acquisition system provided by the first embodiment and comprises the following steps:
the method comprises the following steps: each docking server respectively collects the structural response data of a plurality of systems such as coordinated loading control, collection, video monitoring, structural health monitoring and the like;
in practical application, the structural response data is collected in a form of sharing a DAT file and adopting a form of SDK/API. Of course, the form of the collected data is not particularly limited in the present application.
Step two: the forwarding server carries out data structuring processing on the structure response data to obtain synchronous data;
specifically, the data structuring processing performed by the forwarding server on the structure response data includes:
reading data sent by a coordination loading control system docking program, and extracting test information such as a row number, a load, a rise and fall number and the like from the data; reading the system time of the independent data acquisition system;
respectively packaging data sent by each data docking server by using the system time of the independent data acquisition system as a time mark and using the test information of the control system in the coordinated loading control system as a test information mark, writing the time mark information into a data packet by using the time mark information as a time stamp, and simultaneously writing the test information of the coordinated loading control system into the data packet by using the test information stamp; in practical application, the test information of the coordinated loading control system comprises a row number, a load and a rise and fall number. Of course, the test information of the coordinated loading control system also includes other information, which is not specifically limited in this application.
Step three: and the storage management server performs classified storage on the synchronous data according to the time identification and the test information identification.
To sum up, the fatigue test data structured storage method provided by the application establishes an independent data acquisition platform in the full-machine fatigue test, extracts structural response data in a plurality of independent systems, identifies all data by using timestamps and test operation information, and then performs classified storage. The retrieval efficiency and the data utilization rate of the structural response data can be greatly improved, and meanwhile, the overall data display and playback capacity can be greatly improved; the test abnormal response identification can be accelerated, and invalid data can be eliminated; can accelerate crack analysis and positioning.
Claims (8)
1. A method for structured storage of fatigue test data, the method comprising:
respectively acquiring structure response data of each system of an aeronautical structure test by utilizing at least two docking servers through a fifth generation mobile communication technology (5G, 5th generation mobile networks);
performing data structuring processing on the structural response data by using a forwarding server according to the time identifier and the test information identifier to obtain synchronous data;
and the storage management server performs classified storage on the synchronous data according to the time identification and the test information identification.
2. The method of claim 1, wherein the various systems of the airborne structural test include a coordinated loading control system, an acquisition system, a video surveillance system, and a structural health monitoring system.
3. The method according to claim 1, wherein the step of collecting structural response data of each system of the aeronautical structural test by using at least two docking servers respectively comprises:
the method comprises the steps of utilizing at least two docking servers to respectively collect structural response data of each system of the aviation structure test in a form of a shared Data (DAT) file, a Software Development Kit (SDK) or an Application Programming Interface (API).
4. The method according to claim 1, wherein the obtaining of the synchronization data by performing data structuring processing on the structure response data by using the forwarding server specifically includes:
using the system time of the data acquisition system as a time mark to carry out data mark on the structural response data;
and performing data identification on the structural response data by using test information in the coordinated loading control system as a test information identification.
5. The method of claim 4, wherein the coordinated loading control system trial information includes row number, load, landing number.
6. The utility model provides a structural storage system of fatigue test data, its characterized in that of fatigue test data structural storage system includes butt joint server 1, butt joint server 2, butt joint server 3, butt joint server 4, forwarding server, storage management server and storage node, wherein:
the docking server 1, the docking server 2, the docking server 3 and the docking server 4 are all connected with the forwarding server; the forwarding server is connected with the storage management server; the storage management server is connected with the storage nodes; the docking server 1 is connected with a coordinated loading control system, the docking server 2 is connected with an acquisition system, the docking server 3 is connected with a video monitoring system, and the docking server 4 is connected with a structural health monitoring system;
the system comprises a docking server 1, a docking server 2, a docking server 3 and a docking server 4, which are respectively used for extracting the structural response data of a coordinated loading control system, an acquisition system, a video monitoring system and a structural health monitoring system and sending the structural response data to a forwarding server;
the forwarding server is used for processing the received structure response data to obtain synchronous data and forwarding the synchronous data to the storage management server;
the storage management server is used for receiving the synchronous data and sending the synchronous data to the storage nodes;
and the storage node is used for storing the synchronous data.
7. The system according to claim 6, characterized in that the docking server 1 docks a coordinated load control system in the form of a shared DAT file; the docking server 2 docks the acquisition system in a form of sharing a DAT file; the docking server 3 docks the video monitoring system in an SDK/API mode; the docking server 4 is docked with the structural health monitoring system in an SDK/API manner.
8. The system according to claim 6, wherein the forwarding server is configured to process the received structure response data, specifically, perform time marking with a timestamp as an identifier, perform test marking with the coordinated loading control system test information as an identifier, obtain the synchronization data, and forward the synchronization data to the storage management server.
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Citations (4)
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| CN111307483A (en) * | 2020-02-27 | 2020-06-19 | 成都飞机工业（集团）有限责任公司 | Long-period fatigue test data processing and trend prejudging method for mechanical products |
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2020
- 2020-10-16 CN CN202011107017.9A patent/CN112241409A/en active Pending
Patent Citations (4)
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| JP2013207760A (en) * | 2012-03-29 | 2013-10-07 | Fujitsu Ltd | Data collecting method, mobile terminal and data storage device |
| CN104062446A (en) * | 2014-06-16 | 2014-09-24 | 中国飞机强度研究所 | Plane structure health monitoring integration system and method |
| CN109413188A (en) * | 2018-11-02 | 2019-03-01 | 济南大陆机电股份有限公司 | A kind of industrial equipment management system for internet of things and method |
| CN111307483A (en) * | 2020-02-27 | 2020-06-19 | 成都飞机工业（集团）有限责任公司 | Long-period fatigue test data processing and trend prejudging method for mechanical products |
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