工业数据平台在选矿场景中的应用研究
Research on the Application Of Industrial Data Platform in Mineral Processing Scenario
本文主要介绍了工业数据平台的设计架构及其在选矿场景的应用。随着中国传统有色行业、制造业等发展转型，矿企越来越注重生产数据的存储和使用，以指导企业生产降低成本，提高生产效能。本文研究了工业数据平台设计的规范标准，矿山数据的现状，阐明其在矿企应用的必要性，并介绍了平台的设计架构及架构优点。以一个选矿厂为例，结合该厂的具体场景，介绍了工业数据平台在设备故障预警，生产耗电分析，设备寿命预测，工艺过程监视等场景的应用。这些应用研究表明，工业数据平台在矿业场景中具有重要的应用价值，它能够指导企业降低设备故障对生产影响，提高生产效率和运维管理，减少人为干预数据，从而实现降本增效的目标。
This article mainly introduces the design architecture of industrial data platform and its application in mining scenarios. With the development and transformation of traditional industries such as China's non-ferrous industry and manufacturing, mining enterprises are increasingly focusing on the storage and use of production data to guide production cost reduction and improve production efficiency. This article introduces the standard specifications for the design of industrial data platforms, the status quo of mining data, and clarifies the necessity of its application in mining enterprises. It also introduces the design architecture and its advantages. Taking an ore dressing plant as an example and combining with its specific scenario, the application of industrial data platform in equipment fault warning, production power consumption analysis, equipment life prediction, and process monitoring are introduced. These application studies show that the industrial data platform has significant application value in the mining industry, and it can guide enterprises to reduce the impact of equipment failures on production, improve production efficiency and operation and maintenance management, and reduce human intervention in data, thus achieving the goal of reducing costs and increasing efficiency.
郭春宜;
江西铜锐信息技术有限公司 江西 南昌 330000;
Industrial data platform data cleaning rule engine real-time database configuration
1-5 / 5
评论