Design And Implementation Of Interpretation System Of Logging Data Based On React Framework

In the age of digital information,more and more industries have felt the significant advantages of digital transformation.Therefore,in the field of coal exploration and development in modern coal mines,digital transformation has become the only way to promote development.The digital and intelligent development of my country’s coal industry started relatively late,and with the increasing demand for coal exploration and the amount of data,the traditional logging interpretation software can no longer meet the needs of modern business.Some problems gradually emerged.For example,the traditional logging interpretation software is a C/S architecture,which only supports the processing and interpretation of logging data locally,which results in very low efficiency in data sharing and cannot meet the needs of data analysis and data visualization.Affect work efficiency in collaborative work.Therefore,effectively managing multi-level information and multiple types of complex applications in the enterprise,realizing the integrated system for data storage,management and application and improving the quality of various services are the primary problems we need to solve.For the above problems,this thesis designs and implements of interpretation system of logging data based on React framework,which provide enterprises with an integrated platform that meets the needs of multi-level users.The main work of this thesis is divided into three parts,(1)Analyzed the needs of a coal research institute,refined specific business modules,and designed the overall architecture of the system.In terms of system requirements analysis,firstly,the four modules of unified information management,data analysis,data processing and data visualization are determined.Secondly,the design scheme is given according to the functional requirements of the system,and the UML modeling method is used to describe in detail.Finally,the non-functional requirements of the system are analyzed.In terms of system architecture design,using the B/S architecture,compared with the original software using the C/S architecture,it can improve system performance,reduce resource costs,and have a wider range of applications.(2)Detailed design and implementation of each functional module of the logging data interpretation system.The unified information management module manages multi-level information such as coal mines,departments,personnel and data in the enterprise,provides a good working platform for data sharing and collaborative work.The data analysis module provides an improved transient electromagnetic inversion algorithm,analyzes the geological exploration data before drilling,predicts the actual geological structure,and provides safety guarantee for the subsequent drilling work.The data processing module processes the original logging data,such as filtering,etc.,to eliminate the influence of irrelevant factors.The data visualization module can visualize the 2D/3D borehole trajectory,which is realized through Echarts and Three.js technologies,and displays the processed multi-dimensional logging data in a more intuitive way.The above four modules provide great convenience for coal exploration and development,especially the smooth operation of each link and human-computer interaction.(3)Design test cases according to the system requirements,and test the system according to the test cases and record the results.It has been tested and verified that the logical processing of each function of the system is correct,and the response time is also within the ideal range.After the delivery of the system,all functional modules meet the needs of users and can operate normally,and have been put into practical use.In summary,the logging data interpretation system meets the multi-level user needs for comprehensive evaluation of logging interpretation,which greatly improves the work efficiency of all users and promotes rapid development of modern coal mining industry.