Multi-source data fusion system and method for evaluation of reaction status of plasma cracking coal to acetylene

Abstract

The invention discloses a multi-source data fusion system and a method for evaluating the reaction state of plasma pyrolysis of coal to produce acetylene. The system comprises a data acquisition module for collecting multi-source production data of the reaction process of plasma pyrolysis of coal to produce acetylene in real time. A multi-source data storage module that stores and manages the multi-source production data; Multi-source data fusion module, respectively extracting key features of the multi-source production data, obtaining structured data with timestamp, and fusing the structureddata; State evaluation module, according to the fusion results of multi-source production data to obtain the evaluation level of the reaction state of plasma pyrolysis coal to acetylene. The system of the invention effectively utilizes the multi-source production data of the plasma reaction process, fuses the multi-source production data by adopting the characteristic-level fusion method, and evaluates the running state grade of the plasma reaction process.

Description

Technical field [0001] The invention relates to the field of plasma cracking coal to acetylene production monitoring field, in particular to a multi-source data fusion system and method for evaluating the reaction state of plasma cracking coal to acetylene. Background technique [0002] Acetylene, molecular formula is C 2 H 2 , It is a colorless and extremely flammable gas at room temperature. Acetylene occupies an important position in chemical production, and is mainly used for metal welding and cutting, organic synthesis, atomic absorption spectroscopy, standard gas, calibration gas, and lighting. A series of chemical products can be produced from acetylene, and its derivatives are widely used in many industrial sectors such as plastics, synthetic fibers, synthetic rubber, medicine, pesticides, dyes, bananas, coatings, solvents, adhesives, surfactants, organic conductors and semiconductors. use. [0003] The production of acetylene in my country mainly relies on the traditiona...

AI Technical Summary

Problems solved by technology

[0009] At present, most state assessment methods for multi-source data fusion are based on single-mode data, and most of them are based on different types of sensor data. In industrial process production monitoring, sensor data alone cannot fully reflect the production operation status, and, in In the actual industrial production process, the data from many information sources cannot be fully utilized at present, and the rich information can further guide the actual production work

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