阅读说明：本技术 一种用于管道缺陷检测的大数据平台 (Big data platform for pipeline defect detection ) 是由 李健 王玉雷 李宝超 姚国征 刘春杰 马丹 刘宏刚 于 2021-08-28 设计创作，主要内容包括：本发明公开了一种用于管道缺陷检测的大数据平台,包括数据处理模块、管道数据采集单元、第一数据格式转换模块、第二数据格式转换模块、密钥加密模块和数据储存模块,所述管道数据采集单元分别与第一数据格式转换模块、第二数据格式转换模块、密钥加密模块连接。本发明通过管道数据采集单元对数据进行采集,且分别传输至第二数据格式转换模块、第一数据格式转换模块和密钥加密模块,首先通过第二数据格式转换模块和第一数据格式转换模块能够将数据实现统一,且通过密钥加密模块将检测坐标数据和检测时间数据进行加密后进行传输,使数据在不可修改、保密性、在限制条件下进行共享,保证了数据的真实性。(The invention discloses a big data platform for pipeline defect detection, which comprises a data processing module, a pipeline data acquisition unit, a first data format conversion module, a second data format conversion module, a key encryption module and a data storage module, wherein the pipeline data acquisition unit is respectively connected with the first data format conversion module, the second data format conversion module and the key encryption module. According to the invention, the data are acquired by the pipeline data acquisition unit and are respectively transmitted to the second data format conversion module, the first data format conversion module and the key encryption module, the data can be unified through the second data format conversion module and the first data format conversion module, and the detection coordinate data and the detection time data are transmitted after being encrypted through the key encryption module, so that the data can be shared under the condition of no modification, confidentiality and limitation, and the authenticity of the data is ensured.)

1. The utility model provides a big data platform for pipeline defect detection, includes data processing module (1), pipeline data acquisition unit (2), first data format conversion module (3), second data format conversion module (4), key encryption module (5) and data storage module (6), its characterized in that: the pipeline data acquisition unit (2) is respectively connected with the first data format conversion module (3), the second data format conversion module (4) and the key encryption module (5), the key encryption module (5) is connected with the first data format conversion module (3), the first data format conversion module (3) is connected with the data storage module (6), and the data processing module (1) is respectively connected with the second data format conversion module (4) and the data storage module (6).

2. The big data platform for pipeline defect detection as claimed in claim 1, wherein: the pipeline data acquisition unit (2) comprises a resource data acquisition unit (21), a technical data acquisition unit (22) and an equipment data acquisition unit (23) respectively.

3. The big data platform for pipeline defect detection as claimed in claim 2, wherein: the resource data acquisition unit (21) comprises a contractor data acquisition module (211), a worker data acquisition unit (212) and an equipment model data acquisition module (213), wherein the contractor data acquisition module (211), the worker data acquisition unit (212), the equipment model data acquisition module (213) and the second data format conversion module (4).

4. The big data platform for pipeline defect detection as claimed in claim 2, wherein: the technical data acquisition unit (22) comprises a detection standard data acquisition module (221), an engineering method procedure data acquisition module (222) and a detection technology acquisition module (223), and the detection standard data acquisition module (221), the engineering method procedure data acquisition module (222) and the detection technology acquisition module (223) are connected with the second data format conversion module (4).

5. The big data platform for pipeline defect detection as claimed in claim 2, wherein: the equipment data acquisition unit (23) comprises a detection data acquisition module (231), a detection process video data acquisition module (232), a detection coordinate data acquisition module (233) and a detection time data acquisition module (234), wherein the detection standard data acquisition module (221), the construction method procedure data acquisition module (222) and the detection process data acquisition module (223) are all connected with the first data format conversion module (3), and the detection coordinate data acquisition module (233) and the detection time data acquisition module (234) are all connected with the key encryption module (5).

6. The big data platform for pipeline defect detection as claimed in claim 1, wherein: the data processing module (1) is connected with a data analysis module (11), and the data analysis module (11) is connected with an evaluation unit (12).

7. The big data platform for pipeline defect detection as claimed in claim 6, wherein: the evaluation unit (12) comprises a contractor evaluation module (121), a professional evaluation module (122), a detection raw data quality evaluation module (123), a detection report evaluation module (124) and a welding instruction evaluation module (125).

8. The big data platform for pipeline defect detection as claimed in claim 1, wherein: data processing module (1) is connected with AR synthesis module (7), AR synthesis module (7) is connected with data storage module (6), AR synthesis module (7) still is connected with data transmission module (71), 3D mark module (72), the real-time mark module (73) of AR and freezes screen mark module (74), 3D marks module (72), the real-time mark module (73) of AR and freezes screen mark module (74) and all is connected with data transmission module (71).

9. The big data platform for pipeline defect detection as claimed in claim 8, wherein: the data transmission module (71) is connected with the evaluation unit (12), and the data transmission module (71) is also connected with the display module (8).

10. The big data platform for pipeline defect detection as claimed in claim 8, wherein: the data storage module (6) is connected with a cloud storage module (9) and a data backup module (10), and the data transmission module (71) is connected with the data backup module (10).

Technical Field

The invention relates to the field of wheel disc machining, in particular to a big data platform for pipeline defect detection.

Background

In 2019, the total mileage of oil and gas long-distance pipelines in China exceeds 14 kilometers, natural gas pipelines develop towards high pressure, large caliber and high steel grade, step-type crossing is realized, along with the continuous development of domestic long-distance oil and gas pipeline construction, pipeline construction equipment and process make great progress, and the research and development of construction equipment and processes such as large bulldozers, large pipe cranes, trenchers, internal and external aligning devices, pipe orifice shaping and beveling machines, welding and the like realize the mechanized construction of partial procedures such as line sweeping, trenching, pipe arrangement, aligning, welding, detection, gap repairing, ditch descending and the like, and improve the construction efficiency and the engineering quality.

The existing big data platform for detecting the pipeline defects cannot well analyze, store and check a large amount of data, so that the existing big data platform for detecting the pipeline defects is inconvenient to use, and the big data platform for detecting the pipeline defects is provided.

Disclosure of Invention

The present invention is directed to a big data platform for pipeline defect detection, so as to solve the problems mentioned in the background art.

In order to achieve the purpose, the invention provides the following technical scheme:

a big data platform for pipeline defect detection comprises a data processing module, a pipeline data acquisition unit, a first data format conversion module, a second data format conversion module, a key encryption module and a data storage module, wherein the pipeline data acquisition unit is respectively connected with the first data format conversion module, the second data format conversion module and the key encryption module;

furthermore, the pipeline data acquisition unit respectively comprises a resource data acquisition unit, a technical data acquisition unit and an equipment data acquisition unit;

furthermore, the resource data acquisition unit comprises a contractor data acquisition module, a worker data acquisition unit and an equipment model data acquisition module, and the contractor data acquisition module, the worker data acquisition unit, the equipment model data acquisition module and the second data format conversion module;

furthermore, the technical data acquisition unit comprises a detection standard data acquisition module, an engineering method procedure data acquisition module and a detection process acquisition module, and the detection standard data acquisition module, the engineering method procedure data acquisition module and the detection process acquisition module are connected with the second data format conversion module;

furthermore, the equipment data acquisition unit comprises a detection data acquisition module, a detection process video data acquisition module, a detection coordinate data acquisition module and a detection time data acquisition module, wherein the detection standard data acquisition module, the working method procedure data acquisition module and the detection process data acquisition module are all connected with the first data format conversion module, and the detection coordinate data acquisition module and the detection time data acquisition module are all connected with the key encryption module;

further, the data processing module is connected with a data analysis module, and the data analysis module is connected with an evaluation unit;

further, the evaluation unit comprises a contractor evaluation module, a professional evaluation module, a detection original data quality evaluation module, a detection report evaluation module and a welding instruction evaluation module;

furthermore, the data processing module is connected with an AR synthesis module, the AR synthesis module is connected with the data storage module, the AR synthesis module is further connected with a data transmission module, a 3D labeling module, an AR real-time labeling module and a frozen screen labeling module, and the 3D labeling module, the AR real-time labeling module and the frozen screen labeling module are all connected with the data transmission module;

further, the data transmission module is connected with the evaluation unit, and the data transmission module is also connected with a display module;

furthermore, the data storage module is connected with a cloud storage module and a data backup module, and the data transmission module is connected with the data backup module.

Compared with the prior art, the invention has the beneficial effects that:

1. according to the invention, contractor data, worker data, equipment model data, detection standard data, construction method procedure data, detection process video data, detection coordinate data and detection time data are respectively collected by a resource data collection unit, a technical data collection unit and an equipment data collection unit in a pipeline data collection unit and are respectively transmitted to a second data format conversion module, a first data format conversion module and a key encryption module;

2. according to the invention, the evaluation unit is arranged to evaluate contractors, professionals, the quality of detected original data, detection reports and welding instructions, an intelligent detection quality control means is established, and the process, field operation and the quality of detected data are effectively evaluated;

3. according to the invention, the data processing module is connected with the AR synthesis module, and the AR synthesis module is also connected with the data transmission module, the 3D marking module, the AR real-time marking module and the frozen screen marking module, so that the data can be detected more conveniently by manpower, and the detection accuracy and efficiency are improved.

Drawings

FIG. 1 is a schematic diagram of an overall structure of a big data platform for pipeline defect detection according to the present invention.

In the figure: 1. a data processing module; 2. a pipeline data acquisition unit; 21. a resource data acquisition unit; 211. a contractor data acquisition module; 212. a staff data acquisition unit; 213. the device model data acquisition module; 22. a technical data acquisition unit; 221. a detection standard data acquisition module; 222. an operating method procedure data acquisition module; 223. a detection process acquisition module; 23. an equipment data acquisition unit; 231. a detection data acquisition module; 232. a detection process video data acquisition module; 233. a detection coordinate data acquisition module; 234. a detection time data acquisition module; 3. a first data format conversion module; 4. a second data format conversion module; 5. a key encryption module; 6. a data storage module; 7. an AR synthesis module; 71. a data transmission module; 72. a 3D labeling module; 73. an AR real-time labeling module; 74. a frozen screen labeling module; 8. a display module; 9. a cloud storage module; 10. a data backup module; 11. a data analysis module; 12. an evaluation unit; 121. a contractor evaluation module; 122. a professional evaluation module; 123. detecting an original data quality evaluation module; 124. a detection report evaluation module; 125. and a welding instruction evaluation module.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.

Referring to fig. 1, the present invention provides a technical solution:

a big data platform for pipeline defect detection comprises a data processing module 1, a pipeline data acquisition unit 2, a first data format conversion module 3, a second data format conversion module 4, a key encryption module 5 and a data storage module 6, wherein the pipeline data acquisition unit 2 is respectively connected with the first data format conversion module 3, the second data format conversion module 4 and the key encryption module 5, the key encryption module 5 is connected with the first data format conversion module 3, the first data format conversion module 3 is connected with the data storage module 6, and the data processing module 1 is respectively connected with the second data format conversion module 4 and the data storage module 6;

in the invention, the pipeline data acquisition unit 2 comprises a resource data acquisition unit 21, a technical data acquisition unit 22 and an equipment data acquisition unit 23 respectively;

in the present invention, the resource data acquisition unit 21 includes a contractor data acquisition module 211, a worker data acquisition unit 212, and an equipment model data acquisition module 213, the contractor data acquisition module 211, the worker data acquisition unit 212, the equipment model data acquisition module 213, and the second data format conversion module 4;

in the invention, the technical data acquisition unit 22 comprises a detection standard data acquisition module 221, an engineering method procedure data acquisition module 222 and a detection process acquisition module 223, wherein the detection standard data acquisition module 221, the engineering method procedure data acquisition module 222 and the detection process acquisition module 223 are connected with the second data format conversion module 4;

in the invention, the equipment data acquisition unit 23 comprises a detection data acquisition module 231, a detection process video data acquisition module 232, a detection coordinate data acquisition module 233 and a detection time data acquisition module 234, wherein the detection standard data acquisition module 221, the construction method procedure data acquisition module 222 and the detection process data acquisition module 223 are all connected with the first data format conversion module 3, and the detection coordinate data acquisition module 233 and the detection time data acquisition module 234 are all connected with the key encryption module 5;

in the invention, a data processing module 1 is connected with a data analysis module 11, and the data analysis module 11 is connected with an evaluation unit 12;

in the invention, the evaluation unit 12 comprises a contractor evaluation module 121, a professional evaluation module 122, a detection original data quality evaluation module 123, a detection report evaluation module 124 and a welding instruction evaluation module 125;

in the invention, a data processing module 1 is connected with an AR synthesis module 7, the AR synthesis module 7 is connected with a data storage module 6, the AR synthesis module 7 is also connected with a data transmission module 71, a 3D marking module 72, an AR real-time marking module 73 and a freeze-screen marking module 74, and the 3D marking module 72, the AR real-time marking module 73 and the freeze-screen marking module 74 are all connected with the data transmission module 71;

in the invention, a data transmission module 71 is connected with an evaluation unit 12, and the data transmission module 71 is also connected with a display module 8;

in the invention, the data storage module 6 is connected with the cloud storage module 9 and the data backup module 10, and the data transmission module 71 is connected with the data backup module 10.

The working principle is as follows: when the invention is used, contractor data, worker data, equipment model data, detection standard data, construction method regulation data, detection process, detection data, detection process video data, detection coordinate data and detection time data are respectively collected by the resource data collection unit 21, the technical data collection unit 22 and the equipment data collection unit 23 in the pipeline data collection unit 2 and are respectively transmitted to the second data format conversion module 4, the first data format conversion module 3 and the key encryption module 5, firstly, the data can be unified by the second data format conversion module 4 and the first data format conversion module 3, and the detection coordinate data and the detection time data are encrypted by the key encryption module 5 and then transmitted, so that the data can be shared under the condition of irreparability, confidentiality and limitation, the authenticity of data is guaranteed, the contractor can be checked through the arrangement of the evaluation unit 12, the professional can check the original data quality, the detection report and the welding instruction are evaluated, an intelligent detection quality control means is established, the process is checked, the field operation is performed, the detection data quality is effectively evaluated, the AR synthesis module 7 is connected with the data processing module 1, the AR synthesis module 7 is further connected with the data transmission module 71, the 3D labeling module 72, the AR real-time labeling module 73 and the freezing screen labeling module 74, the data are detected more conveniently manually, and the detection accuracy and the detection efficiency are improved.

It is noted that, herein, relational terms such as first and second, and the like may be 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.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.