Coking intelligent manufacturing system based on big data

Abstract

The invention discloses a coking intelligent manufacturing system based on big data. The system comprises a collection and transmission terminal module, a big data server module and an application display module, wherein the collection and transmission terminal module collects whole-plant data of an existing coking plant and uploads the whole-plant data to the big data server module; the big dataserver module stores, analyzes and calculates the uploaded data and uploads the result to the application display module; and the application display module controls and displays whole-plant production of the coking plant according to the uploaded result. Through setup of the intelligent big data system, monitoring, data collection, control and centralized display on the whole coking plant and each section are realized; overall parameters and control parameters of the system can be optimized in real time according to the monitoring data of each section, and optimal control over each section isrealized; and meanwhile, optimal and intelligent control is performed on the whole plant, so that reliability is high, cost is low, and efficiency is high.

Description

technical field [0001] The invention specifically relates to a coking intelligent manufacturing system based on big data. Background technique [0002] The production workshops of the coking plant include coal preparation workshops, coking workshops, chemical product recovery workshops, public auxiliary and laboratory workshops. The sections and processes involved in the whole process include coal preparation, coking, coke quenching, coke screening and storage, cold drum, electric capture, desulfurization and sulfur recovery, ammonia distillation, ammonium sulfate, and benzene elution. Complicated and cumbersome, and relatively scattered among the various sections. [0003] At present, the manufacturing control of the coking plant is still in the original decentralized stage; each workshop and each section carry out decentralized control, and the general control site only performs data collection and display. When it is necessary to adjust data or control parameters for a ...

AI Technical Summary

Problems solved by technology

This is not only time-consuming and labor-intensive, but also high cost and relatively low reliability

At the same time, the manufacturing control of the existing coking plant has not been unified and comprehensively controlled for the whole plant, which makes each workshop and each station work independently, and the production efficiency of the whole plant is relatively low

Images