Multi-element dynamic monitoring method and system for mine water of closed-pit mine in karst area

Abstract

The invention discloses a multi-element dynamic monitoring method and system for mine water of a closed-pit mine in a karst area, and the method comprises the steps: arranging an observation well in a preset goaf range, and collecting goaf water accumulation data and phreatic bed data through a water level observation meter; rainfall information is obtained through a rainfall monitoring station, and surface water data is collected through a water level observation meter; comprehensively processing the rainfall information, the phreatic bed data, the goaf ponding data and the surface water data to obtain a synchronization and lag relationship of the phreatic bed data, the goaf ponding data and the surface water data caused by changes of the rainfall information; and predicting the goaf water accumulation data according to the synchronization and lag relationship, and sending out warning information when a prediction result exceeds a preset safety height. According to the technical scheme, a reliable and detailed basis is provided for treating the ecological water environment, possible mine water disasters and pollution are monitored and pre-warned, and the capacity of coping with the disasters is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of hydrological monitoring, and in particular to a multivariate dynamic monitoring method for mine water in closed pit mines in karst areas and a multivariate dynamic monitoring system for mine water in closed pit mines in karst areas. Background Art

[0002] Whether it is ecological environment restoration or pollution prevention and control, it is first necessary to monitor the source and flow direction of mine water in order to provide a basis for subsequent treatment plans. In the existing technology, most of them use groundwater detection devices to detect the water flow conditions in the mining area through corresponding mechanical equipment, such as magnetic, ultrasonic and other devices to detect the presence or absence of water sources.

[0003] Aquifers in karst areas are unevenly distributed, with pipeline flow being the main form. Underground karst is well developed, with dense caves and underground rivers, and surface karst. The surface flow is fast, and atmospheric precipitation, surface water, groundwater, and mining water (hereinafter referred to as the "four waters") are closely interconnected. The four waters are frequently converted, resulting in extremely complex pollution channels.

[0004] Atmospheric precipitation falls to the surface, and part of it enters the aquifer or goaf through infiltration, and part of it flows into the surface water. When the rainfall is small, the rainwater infiltration height is not enough to affect the change of water accumulation in the goaf, or the water accumulation in the goaf cannot rise to the outlet of the spring. At this time, rainfall is safe. When the rainfall is heavy, the continuous infiltration of rainwater causes the water in the aquifer to flow into the goaf, and the water level of the mine water in the goaf continues to rise, and finally flows out from the spring. Pollute the surface water, or the surface water level rises and flows to the goaf through the spring, causing the surface water to flow into the goaf, and then pollute the surface water and groundwater. The rainfall at this time is dangerous and needs to be prevented in advance. Due to the frequent and close transformation of the four waters, there is an urgent need for a method that can monitor the conversion relationship between the four waters in real time, the degree of conversion lag and the mutual influence between the four waters, so as to provide a reliable and detailed basis for the subsequent mine water management. Summary of the invention

[0005] In response to the above problems, the present invention provides a multivariate dynamic monitoring method and system for mine water in closed mines in karst areas. By monitoring the four water data and analyzing the data, the conversion relationship and mutual influence relationship of the four waters are determined, providing a reliable and detailed basis for the management of the ecological water environment, monitoring and early warning of possible mine water disasters and pollution, and improving the ability to respond to disasters.

[0006] To achieve the above object, the present invention provides a multivariate dynamic monitoring method for mine water in closed mines in karst areas, comprising:

[0007] Observation wells of different depths are set within the predetermined goaf area, and water accumulation data and groundwater layer data of the goaf are collected through water level observation meters set in the observation wells;

[0008] Obtain rainfall information through rain monitoring stations set up on the ground, and collect surface water data through water level observation meters set up at surface water locations;

[0009] Comprehensively processing the rainfall information, the groundwater layer data, the goaf water accumulation data and the surface water data to obtain synchronization and lag relationships among the groundwater layer data, the goaf water accumulation data and the surface water data caused by changes in the rainfall information;

[0010] The water accumulation data of the goaf is predicted according to the synchronization and lag relationship, and a warning message is issued when the prediction result exceeds a preset safety height.

[0011] In the above technical solution, preferably, the preset safety height is lower than the height of the aquifer and the surface water.

[0012] In the above technical solution, preferably, the rainfall information, the groundwater layer data, the goaf water accumulation data and the surface water data are sent to a data processor through wireless communication technology for comprehensive processing, and sent to a server for storage.

[0013] In the above technical solution, preferably, the groundwater layer data, the goaf water accumulation data and the surface water data include water level data and water quality data respectively, and the rainfall information includes rainfall amount, rainfall intensity and rainfall duration.

[0014] In the above technical solution, preferably, the water accumulation data of the goaf is predicted according to the synchronization and hysteresis relationship, and a warning message is issued when the prediction result exceeds a preset safety height. The specific process includes:

[0015] Based on the synchronization and lag relationship, the corresponding goaf water accumulation data is calculated as a prediction result according to the rainfall information obtained in real time;

[0016] When the predicted result exceeds the preset safety height, a warning message is sent to the preset personnel.

[0017] In the above technical solution, preferably, the groundwater layer data, the goaf water accumulation data and the surface water data are periodically collected based on preset time intervals, and the time intervals are set according to the rainfall information.

[0018] The present invention also discloses a multivariate dynamic monitoring system for mine water in closed pit mines in karst areas, which uses the multivariate dynamic monitoring method for mine water in closed pit mines in karst areas disclosed in any one of the above technical solutions, including:

[0019] A data acquisition module is used to set observation wells of different depths within a predetermined goaf area, and collect goaf water accumulation data and groundwater layer data through a water level observation meter set in the observation well;

[0020] The data acquisition module is also used to obtain rainfall information through a rainfall monitoring station set up in the ground range, and to collect surface water data through a water level observation meter set up at the surface water position;

[0021] A data processing module, used for comprehensively processing the rainfall information, the phreatic layer data, the goaf water accumulation data and the surface water data, to obtain the synchronization and lag relationship between the phreatic layer data, the goaf water accumulation data and the surface water data caused by the change of the rainfall information;

[0022] The data prediction module is used to predict the water accumulation data of the goaf according to the synchronization and lag relationship, and to issue a warning message when the prediction result exceeds a preset safety height.

[0023] In the above technical solution, preferably, the multivariate dynamic monitoring system for mine water in closed mines in karst areas also includes a data transmission module, which is used to send the rainfall information, the groundwater layer data, the goaf water accumulation data and the surface water data to the data processor for comprehensive processing through wireless communication technology, and send them to the server for storage.

[0024] In the above technical solution, preferably, the data prediction module is specifically used for:

[0025] Based on the synchronization and lag relationship, the corresponding goaf water accumulation data is calculated as a prediction result according to the rainfall information obtained in real time;

[0026] When the predicted result exceeds the preset safety height, a warning message is sent to a preset person through the data transmission module.

[0027] In the above technical solution, preferably, the data acquisition module periodically collects the groundwater layer data, the goaf water accumulation data and the surface water data based on a preset time interval, and the time interval is set according to the rainfall information.

[0028] Compared with the prior art, the beneficial effects of the present invention are as follows: by monitoring the four water data and conducting data analysis, the conversion relationship and mutual influence relationship of the four waters are determined, which provides a reliable and detailed basis for the management of the ecological water environment, monitors and warns of possible mine water disasters and pollution, and improves the ability to respond to disasters. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1A logic schematic diagram of a multivariate dynamic monitoring method for mine water in a closed mine in a karst area disclosed in an embodiment of the present invention;

[0030] Figure 2 The present invention is a schematic diagram of the distribution of devices for a multivariate dynamic monitoring method of mine water in a closed mine in a karst area disclosed in an embodiment of the present invention.

[0031] In the figure, the corresponding relationship between each component and the reference numeral is as follows:

[0032] 1. Groundwater layer, 2. Second observation well, 3. Mined-out area, 4. First observation well, 5. Server, 6. Rainfall monitoring station, 7. Surface water, 8. Water level observation meter, 9. Spring mouth. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0035] like Figure 1 and Figure 2 As shown, a multivariate dynamic monitoring method for mine water in a closed mine in a karst area provided by the present invention comprises:

[0036] Observation wells of different depths are set within the predetermined goaf 3, and water accumulation data and groundwater layer data of the goaf are collected through a water level observation meter 8 set in the observation well;

[0037] The rainfall information is obtained through the rainfall monitoring station 6 set up in the ground range, and the surface water data is collected through the water level observation meter 8 set up at the surface water 7 position;

[0038] Comprehensively process rainfall information, groundwater layer data, goaf water accumulation data and surface water data to obtain the synchronization and lag relationship between groundwater layer data, goaf water accumulation data and surface water data as they change with rainfall information;

[0039] The water accumulation data of the goaf is predicted based on the synchronization and lag relationship, and a warning message is issued when the predicted result exceeds the preset safety height.

[0040] In this implementation, by monitoring the four water data and conducting data analysis, the conversion relationship and mutual influence relationship of the four waters are determined, providing a reliable and detailed basis for the management of the ecological water environment, monitoring and early warning of possible mine water disasters and pollution, and improving the ability to respond to disasters.

[0041] Specifically, during the implementation process, the ground range of the goaf 3 is delineated, and at least two observation wells of different depths are constructed, which are respectively deep into the phreatic layer 1 and the goaf 3, and both are equipped with automatic water level observation meters 8. The first observation well 4 is used to collect water accumulation data in the goaf, and the second observation well 2 is used to measure and collect phreatic layer data. A rainfall monitoring station 6 is set up on the ground to obtain rainfall information. After the surface water 7 flows out from the spring 9, an automatic water level observation meter 8 is set at the location of the surface water 7 that needs to be monitored to collect surface water data.

[0042] For the four water data obtained, data processing and data analysis tools are used to analyze the mutual influence and conversion relationship between the groundwater layer data, goaf water accumulation data and surface water data with rainfall information.

[0043] Among them, the synchronization and lag relationship means that when it rains, the surface water 7 level rises immediately with the rainfall, but there will be a lag period for the water accumulation in the aquifer and the goaf 3. How much rain (i.e., rainfall intensity), how long rain (i.e., rainfall time), how much the water level in the aquifer and goaf 3 rises, and when it rises, the relationship between the four waters needs to be analyzed through a large amount of data. The more data, the more accurate the synchronization and lag relationship.

[0044] After obtaining the synchronization and lag relationship, according to the relationship, when it rains again, it is possible to predict whether the water accumulation in the goaf 3 will exceed the preset safety height based on the rainfall information.

[0045] The preset safety heights of different mines or mines are different. Originally, the water level of the contaminated water in the goaf 3 is very low and is not connected to the upper aquifer and surface water 7. When it rains, the water levels of the groundwater layer 1 and the surface water 7 rise. The water level in the goaf 3 may or may not rise, depending on the amount of rainfall and whether there is a water channel. The preset safety height is the height at which the water level in the goaf 3 reaches the connection with the surface water 7 or the groundwater layer 1.

[0046] Through this multivariate dynamic monitoring method, it is possible to predict whether rainfall will cause the water level in goaf 3 to exceed the safe height. If the predicted result exceeds the safe height, an alarm message will be issued to provide early protection. If it does not exceed the safe height, no protection is necessary.

[0047] In the above embodiment, preferably, the preset safety height is lower than the height of the aquifer 1 and the surface water 7 .

[0048] In the above embodiment, preferably, rainfall information, groundwater layer data, goaf water accumulation data and surface water data are sent to a data processor via wireless communication technology for comprehensive processing, and sent to the server 5 for storage.

[0049] In the above implementation, preferably, the groundwater layer data, goaf water accumulation data and surface water data include water level data and water quality data respectively, and the rainfall information includes rainfall amount, rainfall intensity and rainfall duration.

[0050] In the above implementation, preferably, the goaf water accumulation data is predicted according to the synchronization and hysteresis relationship, and a warning message is issued when the prediction result exceeds the preset safety height. The specific process includes:

[0051] Based on the synchronization and lag relationship, the corresponding goaf water accumulation data is calculated as the prediction result according to the rainfall information obtained in real time;

[0052] When the predicted result exceeds the preset safety height, a warning message is sent to the preset personnel.

[0053] In the above implementation, preferably, the water layer data, goaf water accumulation data and surface water data are periodically collected based on preset time intervals, and the time intervals are set according to rainfall information.

[0054] The present invention further discloses a multivariate dynamic monitoring system for mine water in closed pit mines in karst areas, which uses the multivariate dynamic monitoring method for mine water in closed pit mines in karst areas disclosed in any one of the above embodiments, including:

[0055] A data acquisition module is used to set observation wells of different depths within the predetermined goaf 3, and collect goaf water accumulation data and groundwater layer data through a water level observation meter 8 set in the observation well;

[0056] The data collection module is also used to obtain rainfall information through a rainfall monitoring station 6 set up in the ground range, and collect surface water data through a water level observation meter 8 set up at a surface water 7 position;

[0057] The data processing module is used to comprehensively process rainfall information, groundwater layer data, water accumulation data in goafs and surface water data, and obtain the synchronization and lag relationship between groundwater layer data, water accumulation data in goafs and surface water data and rainfall information;

[0058] The data prediction module is used to predict the water accumulation data in the goaf according to the synchronization and lag relationship, and issue a warning message when the prediction result exceeds the preset safety height.

[0059] In the above-mentioned embodiment, preferably, the multivariate dynamic monitoring system for mine water in closed mines in karst areas also includes a data transmission module, which is used to send rainfall information, groundwater layer data, goaf water accumulation data and surface water data to the data processor for comprehensive processing through wireless communication technology, and send it to the server 5 for storage.

[0060] In the above implementation, preferably, the data prediction module is specifically used for:

[0061] Based on the synchronization and lag relationship, the corresponding goaf water accumulation data is calculated as the prediction result according to the rainfall information obtained in real time;

[0062] When the predicted result exceeds the preset safety height, a warning message is sent to the preset personnel through the data transmission module.

[0063] In the above implementation, preferably, the data acquisition module periodically collects the water layer data, goaf water accumulation data and surface water data based on a preset time interval, and the time interval is set according to rainfall information.

[0064] According to the multivariate dynamic monitoring system for mine water in closed mines in karst areas disclosed in the above-mentioned implementation manner, the functions to be implemented by each module thereof correspond to the respective steps of the multivariate dynamic monitoring method for mine water in closed mines in karst areas disclosed in the above-mentioned implementation manner. During the implementation process, operations are performed with reference to the above-mentioned implementation manner, which will not be repeated here.

[0065] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A multivariate dynamic monitoring method for mine water in closed mines in karst areas, characterized in that: include: Observation wells of different depths are set within the predetermined goaf area, and water accumulation data and groundwater layer data of the goaf are collected through water level observation meters set in the observation wells; Obtain rainfall information through rain monitoring stations set up on the ground, and collect surface water data through water level observation meters set up at surface water locations; Comprehensively processing the rainfall information, the groundwater layer data, the goaf water accumulation data and the surface water data to obtain the synchronization and lag relationship between the groundwater layer data, the goaf water accumulation data and the surface water data caused by the change of the rainfall information; The water accumulation data of the goaf is predicted according to the synchronization and lag relationship, and a warning message is issued when the prediction result exceeds a preset safety height.

2. The multivariate dynamic monitoring method for mine water in closed mines in karst areas according to claim 1 is characterized in that: The preset safety height is lower than the aquifer and surface water height.

3. The multivariate dynamic monitoring method for mine water in closed mines in karst areas according to claim 1 is characterized in that: The rainfall information, the groundwater layer data, the goaf water accumulation data and the surface water data are sent to a data processor via wireless communication technology for comprehensive processing, and then sent to a server for storage.

4. The multivariate dynamic monitoring method for mine water in closed mines in karst areas according to claim 1 is characterized in that: The water layer data, the goaf water accumulation data and the surface water data include water level data and water quality data respectively, and the rainfall information includes rainfall amount, rainfall intensity and rainfall duration.

5. The multivariate dynamic monitoring method for mine water in closed mines in karst areas according to claim 3 is characterized in that: The process of predicting the water accumulation data of the goaf according to the synchronization and lag relationship and issuing a warning message when the prediction result exceeds a preset safety height includes: Based on the synchronization and lag relationship, the corresponding goaf water accumulation data is calculated as a prediction result according to the rainfall information obtained in real time; When the predicted result exceeds the preset safety height, a warning message is sent to the preset personnel.

6. The multivariate dynamic monitoring method for mine water in closed mines in karst areas according to claim 1 is characterized in that: The water layer data, the goaf water accumulation data and the surface water data are periodically collected based on a preset time interval, and the time interval is set according to the rainfall information.

7. A multivariate dynamic monitoring system for mine water in closed mines in karst areas, characterized in that: The multivariate dynamic monitoring method for mine water in a closed mine in a karst area according to any one of claims 1 to 6 comprises: A data acquisition module is used to set observation wells of different depths within a predetermined goaf area, and collect goaf water accumulation data and groundwater layer data through a water level observation meter set in the observation well; The data acquisition module is also used to obtain rainfall information through a rainfall monitoring station set up in the ground range, and to collect surface water data through a water level observation meter set up at the surface water position; A data processing module, used for comprehensively processing the rainfall information, the phreatic layer data, the goaf water accumulation data and the surface water data, to obtain the synchronization and lag relationship between the phreatic layer data, the goaf water accumulation data and the surface water data caused by the change of the rainfall information; The data prediction module is used to predict the water accumulation data of the goaf according to the synchronization and lag relationship, and to issue a warning message when the prediction result exceeds a preset safety height.

8. The multivariate dynamic monitoring system for mine water in closed mines in karst areas according to claim 7 is characterized in that: It also includes a data transmission module for sending the rainfall information, the groundwater layer data, the goaf water accumulation data and the surface water data to a data processor for comprehensive processing through wireless communication technology, and sending them to a server for storage.

9. The multivariate dynamic monitoring system for mine water in closed mines in karst areas according to claim 8 is characterized in that: The data prediction module is specifically used for: Based on the synchronization and lag relationship, the corresponding goaf water accumulation data is calculated as a prediction result according to the rainfall information obtained in real time; When the predicted result exceeds the preset safety height, a warning message is sent to a preset person through the data transmission module.

10. The multivariate dynamic monitoring system for mine water in closed mines in karst areas according to claim 7, characterized in that: The data acquisition module periodically collects the water layer data, the goaf water accumulation data and the surface water data based on a preset time interval, and the time interval is set according to the rainfall information.

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