Mine roadway underground water dynamic time-shifting electric field networked monitoring system and method

Abstract

The invention belongs to the field of geophysical measurement, and relates to a mine roadway underground water dynamic time-shifted electric field networked monitoring system and method.The mine roadway underground water dynamic time-shifted electric field networked monitoring system comprises an on-site acquisition system, a network data transmission system and a data management and inversion system.The on-site acquisition system comprises an electrode array module, a transmitting module, an acquisition module and a control module; the control module is used for controlling the selection of power supply electrodes and measuring electrodes of the transmitting module, the acquisition module and the electrode array module; the data transmission system sends the control command to the field acquisition system through a UDP / IP protocol and the Ethernet; after a signal is acquired by the acquisition module, a UDP / IP protocol and an Ethernet are connected with a monitoring center server through a router. The data management and inversion system performs remote configuration through software, acquires data in real time every day or acquires data as required according to a preset time table, and performs inversion processing on the data to generate a resistivity model. Long-time real-time detection is realized, and field instruments are permanently placed, so that repeated manual field measurement is avoided.

Description

technical field [0001] The invention belongs to the field of geophysical measurement, and more specifically relates to a networked real-time monitoring system and method for the dynamic time-shifting electric field of underground water in a mine roadway. Background technique [0002] For areas with a high incidence of mine water disasters, various types of surface water or groundwater flow into or break into the mining work space through certain infiltration channels, affecting the normal production of mines, and even causing major flooding accidents. Mine water inrush is a serious threat to underground mines. One of the mine disasters for the safety of workers. In the prior art, the detection data is returned to the original space mainly through three-dimensional modeling and numerical processing methods such as network mapping, and then analyzed and processed. However, due to the existence of minerals in underground tunnels, the underground structure is heterogeneous, and...

AI Technical Summary

Problems solved by technology

Although compared with the traditional manual resistivity measurement method, the error of manual measurement is avoided, but this detection method also has some shortcomings. First, due to the time limit and discontinuity of manual detection, the real-time and dynamic nature of data cannot be achieved. Guaranteed, it is impossible to provide accurate predictions and inferences based on data on the future dynamics and movement of groundwater in mine roadways

Second, after the data is collected from the on-site PC, it is then transmitted to the control center to generate an image. There is a time difference, and it is not timely for the current discovery and processing of groundwater dynamics.

Third, due to the need to manually enter the roadway for measurement, it will also affect the progress of mineral mining and the safety of inspectors. In summary, the current monitoring method has great limitations

Images