A rotary hearth furnace 3D modeling digital management platform

Abstract

The invention is suitable for the technical field of production management informatization, and provides a rotary hearth furnace 3D modeling digital management platform, which is provided with a management layer, an execution layer, an operation layer and a base layer, and is characterized in that the management layer comprises an ERP system and a digital factory visual platform; the execution layer comprises an inspection and test management system, an MES system, a safety and environmental protection management system, a spot inspection system and a digital transfer platform; the operation layer comprises an unmanned operation system; the base layer comprises production equipment, an electrical system, an automation system and an instrument system, a factory three-dimensional model is established based on a two-dimensional drawing, a digital delivery system is established, data information of all participants is received and integrated, digital delivery with a factory object as a core is achieved, and support is provided for intelligent factory construction. And an existing operation and maintenance and data of each system are integrated through the digital integration platform system, so that visual operation and maintenance management is realized.

Description

technical field [0001] The invention belongs to the technical field of production management informatization, and in particular relates to a digital management platform for 3D modeling of a rotary hearth furnace. Background technique [0002] Rotary hearth furnace factories established at home and abroad usually have the following prominent problems: [0003] The intelligent transformation is incomplete, and there are a large number of 3D (Dirty-bad environment, Difficult-difficult and complicated, Dangerous-dangerous labor) labor positions; [0004] The production line is long, and the composition of raw material metallurgical dust and sludge fluctuates greatly. It is impossible to monitor the quality indicators of intermediate products and final products in real time. Relying on-site operators to manually adjust equipment and process parameters, there is inaccurate transmission of process information in the front and rear stages, and the lag of effective information is hig...

AI Technical Summary

Problems solved by technology

[0003] The intelligent transformation is incomplete, and there are a large number of 3D (Dirty-bad environment, Difficult-difficult and complicated, Dangerous-dangerous labor) labor positions;

[0004] The production line is long, and the composition of raw material metallurgical dust and sludge fluctuates greatly. It is impossible to monitor the quality indicators of intermediate products and final products in real time. Relying on-site operators to manually adjust equipment and process parameters, there is inaccurate transmission of process information in the front and rear stages, and the lag of effective information is high. Difficult to operate

[0005] The factory cannot collect a large amount of effective operation data on site, let alone collect key data used to guide production practices in a very short period of time;

[0006] The efficiency of manual inspection is low, and some inspection locations have safety hazards such as high-altitude operations and gas leakage;

[0007] The positioning of personnel is not clear, only relying on walkie-talkies to complete information exchange between people, and there is no timely rescue for emergencies in safety accidents

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