煤矿测井智能解释云平台关键技术研究

Bici Jiang
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引用次数: 0

摘要

为了满足煤矿智能开采对数据检测的需求,实现煤矿测井的智能解释,设计了一个基于web的煤矿测井单井在线智能解释云平台。基于浏览器-服务器(B/S)架构,在前端浏览器上实现人机交互显示,在后端云服务器上实现数据处理和解释;使用SQL数据库进行数据管理,方便与其他平台进行数据交互;利用python实现了智能测井的煤岩识别与解释;采用区块链技术设计数据加密,实现数据生命周期。数据传输协议采用通用协议技术,前端与后端通信采用Https协议,数据传输采用JSON格式,便于与其他平台进行数据对接。平台不受终端形式的限制。网络中只要有浏览器,就可以被用户操作、使用。该平台没有版本限制,便于开发人员维护。本文形成的平台搭建、前端设计、后端设计、数据库设计和数据加密设计方法,为测井智能解释的发展提供了新的思路和解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Key technologies of intelligent interpretation cloud platform for coal mine logging
In order to meet the needs of intelligent mining of coal mine for detecting data and realize intelligent interpretation of coal mine logging, an online intelligent interpretation cloud platform for single well of coal mine logging based on web is designed. Based on Browser-Server (B/S) architecture, man-machine interactive display is realized on the front-end browser, data processing and interpretation are achieved on the back-end cloud server; data management is carried out by using SQL database to facilitate data interaction with other platforms; coal and rock identification and interpretation of intelligent logging is realized by using python; data encryption is designed by using block chain technology to realize data life cycle. The data transmission protocol adopts the general protocol technology, the communication between the front end and the back end adopts the Https protocol, and the data transmission adopts the JSON format, which facilitates the data docking with other platforms. The platform is not restricted by terminal form. As long as there is a browser in the network, it can be operated, used by users. The platform has no version restrictions and is convenient for developers to maintain. The platform construction, front-end design, back-end design, database design and data encryption design method formed in this paper provide new ideas and solutions for the development of intelligent logging interpretation.
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