Industrial Pipelines Data Generator
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The uniqueness and the complexity of industrial construction project data have always been a challenge in research. The confidentiality of the data also contributes to the difficulty of avail data to researchers and the public, especially those projects related to industrial projects such as oil and gas facility projects. Therefore, data generators capable of generating a large number of simulated data have been a pressing demand by the research communities. This data describes a data generator that is capable of producing simulated industrial pipelines data. The industrial pipelines data are complex in nature and the data generator is capable of generating a set of pipelines that preserves the topological and physical properties of the pipeline formation components. Each generated component has eight components. These are: 1. Line number 2. The type of pipeline branch 3. Component location (seq_in_branch) 4. The id of the previously connected component 5. Component type 6. Component diameter 7. Component length 8. The running direction (x, y, z) of the component The data is a Python program code. It runs in a simple Python Integrated Development Environment (IDLE) and saves the generated data in a text file within the program code folder directory. The generated data can be used in studies related to the optimization of industrial pipelines fabrication, transportation, and on-site installation processes. The industrial pipelines data generator can allow different optimization algorithms to be tested under a large number of instance of problems. Also, the availability of the generator program code will enable the researchers to extend the development in the industrial pipeline data.
工业建设项目数据的独特性与复杂性始终是相关研究中的一大挑战。此类数据的保密性进一步加剧了研究人员与公众获取可用数据的难度，针对油气设施项目等工业相关项目的数据更是如此。因此，科研界一直迫切需要能够生成大量仿真数据的数据生成器。本数据集介绍了一款可生成仿真工业管道数据的数据生成器。工业管道数据本身具有复杂特性，该数据生成器能够生成一组保留管道组成部件拓扑结构与物理属性的管道数据集。每个生成的部件包含8项属性，具体如下：1. 管线编号 2. 管道分支类型 3. 部件位置（seq_in_branch） 4. 前序连接部件ID 5. 部件类型 6. 部件直径 7. 部件长度 8. 部件运行方向（x, y, z）。本数据采用Python程序代码实现，可在简易Python集成开发环境（Integrated Development Environment, IDLE）中运行，并将生成的数据保存至程序代码所在文件夹目录下的文本文件中。生成的数据集可用于工业管道制造、运输及现场安装流程优化相关研究。该工业管道数据生成器可支持研究人员在大量问题实例下测试不同的优化算法。此外，该生成器程序代码的公开也将助力科研人员拓展工业管道数据相关的开发工作。
