A coal mine water disaster early warning method under a roof sandstone aquifer

Abstract

The application provides a coal mine water disaster early warning method under a roof sandstone aquifer, comprising the following steps: step one, obtaining parameters; step two, obtaining a first correlation between a disaster water source layer long observation hole and a main mining area of a mine: the first correlation includes a spatial position relationship, a disaster water source layer long observation hole 1h cumulative water level and a main mining area of a mine 1h cumulative water inflow; step three, obtaining a second correlation between a drainage pump house and the main mining area of the mine; step four, multi-index comprehensive early warning: taking the drainage capacity of the drainage pump house, the water inflow of the main mining area of the mine and the water level of the disaster water source layer long observation hole as three key indexes, comprehensive early warning is carried out. The method realizes the correlation between the long observation hole water level, the main mining area of the mine and the drainage pump capacity through the spatial position, realizes the upstream prevention and control of water disaster monitoring and early warning, dynamically compares the water inflow points and drainage points of the whole mine, and finally realizes the intelligent grading early warning of the coal mine water disaster under the roof sandstone aquifer.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of coal mining safety, and relates to safety early warning, in particular to a coal mine water disaster early warning method under a roof sandstone aquifer. BACKGROUND

[0002] With the increase of the depth of coal mining, more and more coal mines are facing the mining environment with high water pressure. Water-rich sandstone aquifers are often deposited above the main coal seam. While high-intensity coal mining is carried out, the prevention and control of water disasters in thick strata are difficult. Therefore, roof water disaster monitoring and early warning are of great significance to the prevention and control of coal mine water disasters.

[0003] The existing technology commonly used for aquifer water disaster early warning is usually through a prior evaluation method. Before coal mining, geological exploration (such as drilling, geophysical prospecting, etc.) means is used to find out the geological structure of the mining area, the distribution of the aquifer, the thickness of the aquifer, and the lithological characteristics, etc. to provide basic data for water disaster prediction. Then, hydrogeological analysis is carried out to evaluate the water-rich nature of the aquifer, the recharge conditions, the runoff direction and the discharge conditions to determine the potential water disaster threat area. Or through direct observation, underground water level monitoring wells or observation holes are installed to monitor the aquifer water level changes in real time and understand the underground water dynamics.

[0004] The monitoring and early warning technology in the prior art is mostly concentrated on the multi-source method of the water channel, and the early warning method mostly uses a single index for early warning, without combing the network correlation of the water pump house drainage capacity, the water inflow of the observation point and each long observation hole in the whole coal mine. SUMMARY

[0005] In view of the deficiencies of the prior art, the purpose of the present application is to provide a coal mine water disaster early warning method under a roof sandstone aquifer, which solves the technical problem that the early warning accuracy of the coal mine water disaster early warning method in the prior art needs to be further improved.

[0006] In order to solve the above technical problems, the present application adopts the following technical solutions:

[0007] A coal mine water disaster early warning method under a roof sandstone aquifer, the method comprising the following steps:

[0008] Step 1: Obtain parameters:

[0009] Obtain parameters from the coal mine drainage system diagram;

[0010] The parameters include the water inflow monitoring point position coordinates (x1, y1), the drainage capacity monitoring point position (x2, y2), the rated flow of each drainage pump Q i , the long observation hole plane position (x ci , y ci ) of the disaster-causing water source layer and the monitored aquifer horizon H i ;

[0011] Step two, obtaining the first correlation between the long-observation hole of the disaster-causing water source layer and the main mining area of the mine:

[0012] The first correlation includes the spatial position relationship, the long-observation hole 1h cumulative water level, and the main mining area 1h cumulative water inflow of the mine;

[0013] Step 3, obtaining the second correlation between the drainage capacity of the drainage pump house and the main mining area of the mine;

[0014] Step 301, obtaining information:

[0015] The information includes drainage pump house information and mine main mining area information;

[0016] Step 302, establishing a second correlation:

[0017] Step 30201, through the drainage system diagram of the coal mine, the drainage pump house and the mine main mining area are corresponded in space, and the mine main mining area covered by each drainage pump house is determined;

[0018] Step 30202, analyze the water inflow change trend of each water inflow monitoring point in the mine main mining area, and determine the relationship between the water inflow change trend and the drainage capacity of the corresponding drainage pump house;

[0019] Step 303, preparing a second correlation table or graph:

[0020] The information collected in step 301 and the second correlation established in step 302 are arranged into a table or graph to intuitively display the correspondence between the drainage pump house and the mine main mining area;

[0021] Step four, multi-index comprehensive early warning:

[0022] Based on the first correlation between the long-observation hole of the disaster-causing water source layer and the main mining area of the mine obtained in step two and the second correlation between the drainage capacity of the drainage pump house and the main mining area of the mine obtained in step three, the drainage capacity of the drainage pump house, the water inflow of the mine main mining area, and the water level of the long-observation hole of the disaster-causing water source layer are taken as three key indicators for comprehensive early warning.

[0023] Compared with the prior art, the present application has the following technical effects:

[0024] (I) The method of the present application realizes the mutual correlation of the long-observation hole water level, the main mining area of the mine, and the drainage capacity of the drainage pump through spatial position, truly realizes upstream prevention and control of water disaster monitoring and early warning, dynamically compares water inflow points and drainage points in the whole mine, and finally realizes intelligent grading early warning of coal mine water disaster in the roof sandstone aquifer.

[0025] (II) The method of the present application can realize multi-index linkage early warning: the prior art usually uses a single index for early warning, while the present application comprehensively analyzes multiple indexes such as long observation hole water level of disaster-causing water source layer, water inflow and drainage capacity of each place in the mine, etc., thereby improving the accuracy of early warning.

[0026] (III) The method of the present application can realize global monitoring and hierarchical early warning: through the coal mine drainage system diagram and the distribution of observation points, the spatial correlation of the main mining area, the mining dynamic area and the drainage pump capacity is established, the monitoring of the whole mine is covered, multi-level risk early warning hierarchical management is realized, and the accuracy of water disaster risk is enhanced.

[0027] (IV) The method of the present application can realize dynamic database and real-time updating: the data is integrated into a dynamic database, and the matching degree of the water inflow and the drainage capacity of the observation point is compared through real-time data updating, so as to quickly identify the problem of insufficient drainage capacity. This real-time monitoring and dynamic updating method enables the system to better cope with the complex hydrogeological conditions of the coal mine.

[0028] (V) The method of the present application is simple to operate, has strong adaptability, is conducive to the safety prevention and control of coal mine water disasters, and has strong popularization and application value.

[0029] The specific content of the present application will be further explained and described in detail in combination with the following embodiments. DETAILED DESCRIPTION

[0030] It should be noted that all the devices in the present application, if not specifically stated, all use the devices known in the prior art.

[0031] The following gives specific embodiments of the present application. It should be noted that the present application is not limited to the following specific embodiments, and any equivalent transformation made on the basis of the technical solutions of the present application falls within the protection scope of the present application.

[0032] Embodiment:

[0033] This embodiment gives a coal mine water disaster early warning method under a roof sandstone aquifer, which comprises the following steps:

[0034] Step one, obtain parameters:

[0035] Obtain parameters from the drainage system diagram of the coal mine;

[0036] The parameters include water inflow monitoring point position coordinates (x1, y1), drainage monitoring point position (x2, y2), and each drainage pump rated flow Q i (i = 1, 2, …, n), disaster-causing water source layer (i.e. aquifer) long observation hole plane position (x ci , y ci(i = 1, 2, …, n) and the monitored aquifer horizon H i (i = 1, 2, …, n);

[0037] In this embodiment, the water inflow monitoring point is a device installed in or near the coal mine underground to monitor the inflow of underground water. The coordinates (x1, y1) identify the specific location of these monitoring points on the coal mine drainage system map (the same for other coordinate positions).

[0038] In this embodiment, the rated flow Q i (i = 1, 2, …, n) is the maximum drainage capacity of the drainage pump,

[0039] In this embodiment, the disaster-causing water source layer refers to the underground water layer that may pose a threat, i.e., the aquifer that needs to be monitored for a long time, by setting a long observation hole above or near it to monitor the water level and dynamic changes.

[0040] In this embodiment, the aquifer horizon H i represents the relative position of the aquifer in the geological structure.

[0041] Step two, obtain the first correlation between the disaster-causing water source layer long observation hole and the main mining area of the mine:

[0042] The main mining area of the mine mainly includes the working area of the mining face (x m1 , y m2 ), the heading area of the heading face (x m3 , y m4 ), and the closed area of the goaf (x3, y3).

[0043] In this embodiment, the working area of the mining face is the main area for coal mining in the coal mine, and is one of the areas with high risk of groundwater hazards. Understanding the correlation between this area and the disaster-causing water source layer long observation hole helps to predict the impact of groundwater on the mining face and develop appropriate prevention and control measures.

[0044] In this embodiment, the heading area of the heading face is the area where the coal mine advances, and its heading area is another focus of groundwater hazard risk. Understanding the relationship between this area and the disaster-causing water source layer long observation hole can help to timely discover and handle groundwater problems encountered during the heading process.

[0045] In this embodiment, the goaf is the hollow area left after coal mining, which is prone to water accumulation and forms a potential water hazard source. The closed area of the goaf is a key point for preventing the spread of water hazards in the goaf, and understanding its correlation with the disaster-causing water source layer long observation hole helps to assess the risk level of water hazards in the goaf and take appropriate prevention and control measures.

[0046] In the embodiment, the correlation relationship is obtained through geological exploration, hydrogeological investigation and field monitoring.

[0047] The first correlation relationship includes a spatial position relationship, a long-term water level of a disaster water source layer long-term observation hole and a 1h cumulative water inflow of a main mining area of a mine.

[0048] The spatial position relationship is determined by the disaster water source layer long-term observation hole and the nearest distance z from the main mining area of the mine.

[0049]

[0050] In the formula,

[0051] x ci is the horizontal coordinate of the planar position of the disaster water source layer long-term observation hole, with the unit of m;

[0052] y ci is the vertical coordinate of the planar position of the disaster water source layer long-term observation hole, with the unit of m;

[0053] x mi is the horizontal coordinate of the planar position of the main mining area of the mine, with the unit of m;

[0054] y mi is the vertical coordinate of the planar position of the main mining area of the mine, with the unit of m.

[0055] The long-term water level of the disaster water source layer long-term observation hole showing a downward trend is identified by the following method:

[0056] H t+2 -H t+1 <0

[0057] H t+1 -H t <0

[0058] H t -H t-1 <0

[0059] H t-1 -H t-2 <0

[0060] …

[0061] In the formula, H represents the water level, and t represents the time.

[0062] The 1h cumulative water inflow of the main mining area of the mine showing an increasing trend is identified by the following method:

[0063] Q t+2 -Q t+1 >0

[0064] Qt+1 Q t >0

[0065] Q t -Q t-1 >0

[0066] Q t-1 -Q t-2 >0

[0067] …

[0068] In the formula, Q represents the cumulative water inflow; t represents the time;

[0069] Step 3, obtaining the drainage capacity of the drainage pump house and the second association relationship of the main mining area of the mine;

[0070] In this embodiment, the drainage pump includes a water pump installed at a main drainage point and a water pump installed at a temporary drainage point. The model, number, performance, and operating condition of the water pump are directly related to the drainage efficiency and drainage capacity of the mine.

[0071] In this embodiment, by understanding the correspondence between the water pump in each water pump house and the main mining area of the mine, the water inflow of each area of the mine can be monitored in real time. According to the change of water inflow, the water pump resources are reasonably allocated to ensure the economy and efficiency of the drainage system.

[0072] In this embodiment, in the existing coal mine water disaster management, the comprehensive water inflow and the comprehensive drainage capacity are generally used for overall risk early warning. In order to more finely manage the water disaster risk, especially to timely discover and respond to the problem of insufficient drainage capacity of a single drainage pump house, based on the association relationship of step three, the drainage capacity of each main mining area of the mine and each drainage pump house can be further dynamically updated.

[0073] Step 301, obtaining information:

[0074] The information includes drainage pump house information and main mining area information of the mine.

[0075] The drainage pump house information includes the geographical position of the water pump house, the water pump model, the number of water pumps, the rated power of the water pump, the pump head, and the pump flow.

[0076] The main mining area information of the mine includes the position of each water inflow monitoring point, the observation frequency of each water inflow monitoring point, and the historical water inflow of each water inflow monitoring point.

[0077] Step 302, establishing a second association relationship:

[0078] Step 30201, through the coal mine drainage system diagram, the drainage pump house and the mine main mining area are corresponded in space, and the mine main mining area covered by each drainage pump house is determined.

[0079] Step 30202, analyze the water inflow change trend of each water inflow monitoring point in the mine main mining area, and determine the relationship between the water inflow change trend and the drainage capacity of the corresponding drainage pump house.

[0080] Step 303, compile a second correlation table or graph:

[0081] The second correlation established in step 302 and the information collected in step 301 are arranged into a table or graph to intuitively show the correspondence between the drainage pump house and the mine main mining area;

[0082] In this embodiment, the table or graph includes pump house number, pump model and quantity, corresponding observation point number, and water inflow change trend information.

[0083] Step four, multi-index comprehensive early warning:

[0084] Based on the first correlation between the disaster-causing water source long observation hole and the mine main mining area obtained in step two and the second correlation between the drainage capacity of the drainage pump house and the mine main mining area obtained in step three, the drainage capacity of the drainage pump house, the water inflow of the mine main mining area and the water level of the disaster-causing water source long observation hole are taken as three key indicators for comprehensive early warning.

[0085] In this embodiment, the water-rich sandstone aquifer has the characteristics of large water inflow and complex recharge sources. In the comprehensive early warning, special attention should be paid to the water-rich degree of the aquifer, the recharge source and the hydraulic connection between the aquifer and other aquifers. The single water level anomaly of the disaster-causing water source long observation hole (such as the amplitude Δh of 1h decrease) may be affected by many factors, such as seasonal precipitation and natural fluctuations of groundwater, and may not directly reflect the risk of roof water damage. Similarly, the unit water inflow q of the aquifer, the thickness M of the aquifer and the normal water inflow Q1 of the mine also have similar problems.

[0086] In this embodiment, in addition to the water level anomaly of the disaster-causing water source long observation hole, the unit water inflow q of the aquifer, the thickness M of the aquifer, the normal water inflow Q1 of the mine and the drainage capacity are comprehensively evaluated. By comparing and analyzing the change trends and mutual relationships of various parameters, the risk level of roof water damage can be more accurately judged. Due to the uncertainty of geological conditions and hydrogeological conditions, the comprehensive early warning system can realize dynamic monitoring and real-time adjustment. By continuously collecting new monitoring data and analysis results, the early warning model and parameter settings are adjusted in time to ensure the accuracy and reliability of the early warning system.

[0087] As a specific application example of the early warning method of the embodiment: monitoring the continuous decline of the water level in the long observation hole of the disaster-causing water source layer (such as a 1h decline in amplitude Δh), and the associated main mine main mining area 1h cumulative water inflow presents an increasing trend, and the absolute value of the cumulative water inflow exceeds 50% of the corresponding drainage pump house drainage capacity, producing a blue early warning; more than 60%, produce yellow early warning; more than 70%, produce orange early warning; more than 80%, produce red early warning.

[0088] In the embodiment, while conducting overall risk early warning of comprehensive water inflow and comprehensive drainage capacity, the relationship between each mine main mining area and the corresponding drainage pump house is monitored in detail. This includes real-time monitoring of the water inflow changes of each observation point, as well as the operating status and drainage capacity of the corresponding drainage pump house. For example, a dynamic database containing observation point water inflow data, drainage pump house operating data and drainage capacity information is constructed. These data are updated in real time to reflect the latest mine hydrogeological conditions and drainage system status. The data in the database are compared and analyzed regularly, especially the water inflow of each observation point and the drainage capacity of the corresponding drainage pump house are compared one by one, which can timely find the problem of insufficient drainage capacity of a single drainage pump house.

[0089] Further in the embodiment, each hierarchical early warning is linked with the emergency plan of the mine. When orange or red early warning occurs, the system can trigger the deployment of the emergency plan of the coal mine to increase safety.

Claims

1. A coal mine water disaster early warning method under a roof sandstone aquifer, characterized in that, The method comprises the following steps: Step one, obtaining parameters: Obtain parameters from the coal mine drainage system diagram; The parameters include water inflow monitoring point position coordinates (x1, y1), water outflow monitoring point position (x2, y2), rated flow Q of each water outflow pump i , long observation hole plane position (x ci ,y ci ) of a disaster-causing water source layer, and monitored aquifer horizon H i ; Step two, obtaining the first correlation between the disaster-causing water source layer long observation hole and the main mining area of the mine: The first correlation includes spatial position relationship, disaster-causing water source layer long observation hole 1h cumulative water level and main mining area of the mine 1h cumulative water inflow; Step 3, obtaining the drainage capacity of the drainage pump house and the second correlation between the main mining area of the mine: Step 301, obtaining information: The information includes drainage pump house information and main mining area information of the mine; Step 302, establishing the second correlation: Step 30201, through the coal mine drainage system diagram, the drainage pump house and the main mining area of the mine are corresponded in space, and the main mining area of the mine covered by each drainage pump house is determined; Step 30202, analyze the water inflow change trend of each water inflow monitoring point in the main mining area of the mine, and determine the relationship between the water inflow change trend and the drainage capacity of the corresponding drainage pump house; Step 303, compiling the second correlation table or graph: The information collected in step 301 and the second correlation established in step 302 are arranged into a table or graph to intuitively show the correspondence between the drainage pump house and the main mining area of the mine; Step four, multi-index comprehensive early warning: Based on the first correlation between the disaster-causing water source layer long observation hole and the main mining area of the mine obtained in step two and the second correlation between the drainage capacity of the drainage pump house and the main mining area of the mine obtained in step three, the drainage capacity of the drainage pump house, the water inflow of the main mining area of the mine and the water level of the disaster-causing water source layer long observation hole are taken as three key indicators for comprehensive early warning.

2. The roof sandstone aquifer coal mine water disaster early warning method of claim 1, wherein, In step two, the main mining area of the mine includes the working face operation area, the heading face heading area and the sealed area of the goaf.

3. The roof sandstone aquifer coal mine water hazard early warning method of claim 1, wherein, In step two, the spatial position relationship is determined by the distance between the long observation hole of the disaster-causing water source layer and the nearest distance to the main mining area of the mine determination; In the formula, x ci xdisaster is the horizontal coordinate of the plane position of the long observation hole of the disaster-causing water source layer, with the unit of m; y ci z is the vertical coordinate of the planar position of the long observation hole of the disaster-causing water source layer, in meters; x mi X is the horizontal coordinate of the planar position of the main mining area of the mine, with the unit of m; y mi is the longitudinal coordinate of the planar position of the main mining area of the mine, in meters.

4. The roof sandstone aquifer coal mine water hazard early warning method of claim 1, wherein, In step two, the cumulative water level of the disaster-causing water source layer long observation hole 1h is identified by the following method: H t+2 -H t+1 <0 H t+1 -H t <0 H t -H t-1 <0 H t-1 -H t-2 <0 In the formula, H represents the water level, and t represents the time.

5. The roof sandstone aquifer coal mine water hazard early warning method of claim 1, wherein, In step two, the cumulative water inflow of the main mining area of the mine 1h is identified by the following method: Q t+2 -Q t+1 >0 Q t+1 -Q t >0 Q t -Q t-1 >0 Q t-1 -Q t-2 >0 In the formula, Q represents the cumulative water inflow, and t represents the time.

6. The roof sandstone aquifer coal mine water hazard early warning method of claim 1, wherein, In step 301, the drainage pump house information includes the geographical position of the water pump house, the water pump type, the water pump quantity, the water pump rated power, the water pump lift and the water pump flow.

7. The roof sandstone aquifer coal mine water hazard early warning method of claim 1, wherein, In step 301, the main mining area information of the mine includes the position of each water inflow monitoring point, the observation frequency of each water inflow monitoring point and the historical water inflow of each water inflow monitoring point.

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