Method and system for judging width of gob-side entry driving coal pillar through Internet of Things data

Abstract

The embodiment of the invention discloses a method and a system for judging the width of a gob-side entry driving coal pillar through Internet of Things data. The method comprises the following steps:step 100, analyzing a section shape by utilizing gob-side entry driving coal pillar data information to obtain a continuous characteristic node representing the section shape; step 200, constructinga gob-side entry driving coal pillar width model according to the continuous feature nodes; step 300, according to the coal pillar width model, calculating model data based on gob-side entry driving coal pillar center line information, and applying the model data to a Blender visualization platform; step 400, judging the width of the gob-side entry driving coal pillar according to the data changeof the Blender visual platform, building a three-dimensional vector data volume model and a gob-side entrydriving coal pillar width model through real-time data transmitted by a monitoring system, sothe physical model of the underground roadway driving coal pillar can be accurately expressed, and the space-time database is established to express the space-time information of the space-time data object, so that the occupation of a memory is greatly reduced, the query speed of roadway data is increased, and the processing time of detail data is shortened.

Description

technical field [0001] The embodiment of the present invention relates to the technical field of digital mine roadway detection, in particular to a method and system for determining the width of a coal pillar in a gob-side roadway by using data from the Internet of Things. Background technique [0002] Coal resources play an important role in my country's national economy. With the deepening of coal mine mining depth or complex geological conditions, it is generally faced with serious roadway support problems, it is difficult to replace mine working faces, and the utilization rate of resources is low. Therefore, , when tunneling along the goaf, it is necessary to determine the real-time and reasonable tunneling time and location to rationally and effectively utilize coal resources, improve the recovery rate of coal resource mining, and achieve sustainable development of the mining industry. [0003] At present, the methods used to collect data to determine the width of coal p...

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Problems solved by technology

[0006] To this end, the embodiment of the present invention provides a method and system for determining the width of coal pillars in gob-gob roading by using data from the Internet of Things. The real-time data transmitted by the monitoring system is used to construct a three-dimensional vector data volume model and a coal pillar width model in gob-gob roads. The Blender visualization platform displays the dynamic changes of goaf coal pillars in real time. It can not only accurately express the physical model of underground gob coal pillars, but also can be used as basic data to conduct in-depth analysis of each ground state correction model to obtain underground gob gob coal pillars. The real-time data information of the column determines the width of the coal pillar in gob-side roading. At the same time, a spatio-temporal database is established to express the spatio-temporal information of the spatio-temporal data object and store the data change information of the ground state and other time points, which greatly reduces the memory usage and improves the efficiency. The query speed of roadway data reduces the processing time of detailed data, so as to solve the inflexibility of expressing dynamic data and the process of changing detailed data due to the method and system of coal pillar width data collection and determination along gob-side excavation in the prior art It is cumbersome and cannot accurately determine the problems caused by the difference in roadway changes

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