Fully mechanized coal mining face data fusion method based on big data system

Abstract

The invention discloses a fully mechanized coal mining face data fusion method based on a big data system, which aims at solving the problem that transmission protocols of working face equipment are different, customizes and develops related driving and interaction methods, and realizes collection and acquisition of multi-source data; in the method, a data stream is sent to a cloud data center in a json character string mode through an Mqtt (Data Publishing / Subscribing Transport Protocol) and a TCP / IP (Transmission Control Protocol / Internet Protocol), and the cloud data center authenticates and processes collected data and transmits the data to a data processing platform; the data processing platform classifies and stores the data in an HDFS (Distributed File System) according to the data stream identifier, and uses a data classification module in the HDFS to perform data filtering, cleaning and data format conversion, finally obtains fused data, and stores the data in a data area so as to support analysis application subsequently.

Description

technical field [0001] The invention belongs to the technical field of data fusion, in particular to a data fusion method for a fully mechanized mining face based on a big data system. Background technique [0002] The unified collection of data needs to coordinate the relationship between various devices to ensure the relevance and integrity of the data. The existing technology can realize the unified collection of data, but the application in mines is in a blank field. The existing technology on the market can realize the collection and processing of big data, but it cannot be realized for the harsh environment of the underground coal mine. First, the underground environment of the coal mine is complex, and a large amount of data needs to be collected; second, the communication protocol between the various equipment in the fully mechanized mining face Each is different, resulting in the inability to unify the data; the third is technical realization. [0003] The data acq...

AI Technical Summary

Problems solved by technology

[0002] Unified data collection needs to coordinate the relationship between various devices to ensure the relevance and integrity of data. The existing technology can realize unified data collection, but the application in mines is in a blank field

The existing technology on the market can realize the collection and processing of big data, but it cannot be realized for the harsh environment of the underground coal mine. First, the underground environment of the coal mine is complex, and a large amount of data needs to be collected; second, the communication protocol between the various equipment in the fully mechanized mining face Each is different, which leads to the inability to unify the data; the third is technical realization

[0003] The data acquisition of existing coal mine underground equipment is mainly collected directly on the equipment through the monitoring system. Due to the different equipment manufacturers, the collected data formats are different, resulting in multi-source heterogeneity of data

Existing technology cannot realize real-time data collection and fusion of fully mechanized mining face

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