Big data processing and remote monitoring system

Abstract

The invention relates to a big data processing and remote monitoring system which comprises a data acquisition module, a data transmission module and a cloud computing platform. The data acquisition module can acquire data through a real-time database system and can also directly read data from a PLC / DCS / SCADA data system, the data transmission module sends real-time data to the cloud computing platform, the cloud computing platform receives real-time data, then perform data screening, conversion and calculation and compares calculation results with the most optimized result, and finally a comparison result is fed back to a field operating device for optimization operation. The problems of short effectively control distance, difficult real-time analysis and calculation, difficult equipment hidden danger / failure prediction, high non-planned parking frequency and the like existing in the prior art are solved.

Description

technical field [0001] The invention relates to the field of industrial automation, in particular to a big data processing and remote monitoring system. Background technique [0002] With the changes in the world's energy pattern, my country's energy and chemical companies are developing in the direction of large-scale, market-oriented, integrated, international, clean and intelligent, but at the same time they will face: how to improve their internal Improve the management level, strengthen the management of planning, operation, production, finance, etc., so that it can truly achieve "fine management", improve the response speed and accuracy required by market operations, save energy and reduce consumption, reduce production costs and management Cost, to win the maximum profit for chemical enterprises, so as to achieve the purpose of improving competitiveness and improving their own viability. As the chemical industry is a capital-intensive, technology-intensive, data-intens...

AI Technical Summary

Problems solved by technology

[0003] In recent years, my country's chemical industry has newly built or expanded many large-scale integrated and modern devices. Enterprise instrumentation automation and informatization have developed rapidly, and a number of advanced technologies and innovative achievements have emerged such as APC, MES, DCS-FCS, NIR and energy-saving Environmental protection applications, etc., have played a great role in ensuring safe production, reducing consumption and improving quality, and improving overall economic benefits. However, when these advanced technologies are introduced, shortcomings are constantly discovered. For example, in the introduced DCS, usually automatic collection , so it has the characteristics of real data, large amount of collection, high sampling frequency, etc., but this kind of data is only used to guide on-site production in China at present, and has not been further analyzed in detail to serve as a reference for managers to assist decision-making, let alone Process the information in production in real time, and statistically generate valuable data information to guide production and optimize the process

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