Precise distinguishing system, method and equipment for mine inrush water source

Abstract

The invention discloses a method, a system and equipment for accurately judging a mine inrush water source, which are characterized in that a hydrogeochemical characteristic database on a region is established by taking a large number of standard water samples in the region as a control group; performing standard data screening on the data of the hydrogeochemical characteristic database, and enabling the screened data to enter a sample database to serve as contrast data for judging a mine inrush water source; carrying out statistical analysis on the data of the to-be-judged water sample and the sample database, drawing a hydrogeochemical related map, and carrying out preliminary judgment on the to-be-judged water sample; information intersection exists between the to-be-judged water sample and the standard sample in the sample database, final judgment is conducted through a mathematical method, and the mine water inrush source is determined. According to the method, the interference of other water samples on the discrimination result is eliminated, the information cross influence existing among the water samples is eliminated, the acquisition mode of hydrogeochemical data of the mine water inrush source is innovated, and the accuracy of discriminating the water inrush source is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of coal mine safety, and specifically relates to a system for accurately identifying the source of water inrushing water in a mine, a method for accurately identifying the source of water inrushing water in a mine, and equipment for accurately identifying the source of water inrushing water in a mine. Background Art

[0002] In recent years, with the increase in coal mining intensity and complex hydrogeological conditions, water inrush (burst) incidents have occurred frequently. In addition, there is no effective aquiclude between the mineable coal seam and the water-filled aquifer, which makes coal resources face serious roof and floor water damage during mining. Mine water damage seriously threatens coal mine safety production. The effective premise for solving its water damage problem is to identify the source of water inrush and do a good job of water prevention and control in advance.

[0003] However, the current identification of the source of water inrush in mines uses ion chromatographs for calibration in the laboratory when obtaining the hydrogeochemical data of the water source. It is impossible to achieve in-situ measurement of the hydrogeochemical data, the accuracy is low, and the identification time is long. There is no system construction of the sensing end (hydrochemical data collection end), standard data storage and selection, different identification methods optimization and accurate identification platform. In the past, water sample composition determination was obtained in the laboratory through ion chromatography. The process of obtaining, transporting and determining water samples is time-consuming and laborious. When identifying the source of water inrush, the calculation process is lengthy, the timeliness is poor, and the accuracy is low. Summary of the invention The first purpose of the present invention is to provide a system for accurately identifying the source of water inrush in mines, which solves the technical problems of lengthy calculation process and poor timeliness in the prior art when identifying the source of water inrush in mines.

[0004] The second purpose of the present invention is to provide a method for accurately identifying the source of water inrush in mines.

[0005] The third purpose of the present invention is to provide equipment for accurately identifying the source of water inrush in mines.

[0006] The first technical solution adopted by the present invention is a system for accurately identifying the source of water inrush in a mine, comprising: Data acquisition module: used to obtain the hydrogeochemical data of each aquifer in the region, and read each sample data into the MySQL-based hydrochemical database to establish a regional hydrogeochemical characteristic database; Data management module: standard data screening is performed on the hydrological and geochemical characteristics database data, and the screened data enters the sample database as reference data for identifying the source of water inrush in the mine; Map drawing module: statistically analyze the data of the water samples to be judged and the sample database, draw hydrological and geochemical related maps, and make preliminary judgments on the water samples to be judged; Mine water inrush source identification module: Use mathematical methods to make final judgments and determine the source of mine water inrush.

[0007] The second technical solution adopted by the present invention is a method for accurately distinguishing the source of water inrush in a mine, using the above-mentioned system for accurately distinguishing the source of water inrush in a mine, comprising the following steps: S1: Obtain the hydrogeochemical data of each aquifer in the region, and read the hydrogeochemical data into a hydrochemical database based on MySQL in the format of xls and csv files to establish a hydrogeochemical characteristic database for the region; S2: Standard data screening is performed on the hydrogeochemical characteristic database data, and the screened data enters the sample database as reference data for identifying the source of mine water inrush; S3: Statistically analyze the data of the water samples to be identified and the sample database, draw hydrogeochemical related maps, and use hydrogeochemical methods to make preliminary identification of the water samples to be identified; S4: There is information overlap between the water sample to be judged and the standard water sample in the sample database. Mathematical methods are used to make the final judgment and determine the source of the mine water inrush.

[0008] The second technical solution of the present invention is characterized in that: In S1, the hydrogeochemical data are read into the hydrochemical database by automatically fuzzily matching the attributes of the data table and the headers of excel and csv through the data import function, or manually adjusting them. After submission, the data set is stored in the server-side database for subsequent calls and management, thereby establishing a regional hydrogeochemical characteristic database.

[0009] Standard data in S2 include: K + 、Na + , Ca 2+ Mg 2+ 、HCO3 - , Cl - 、SO4 2- , pH and mineralization.

[0010] When standard data screening is performed in S2, when new water sample data enters the water chemistry database, the sample database is automatically updated by combining the data screening standards with the existing water-filled aquifers in the determined area, and serves as reference data for subsequent mine water inrush source identification.

[0011] The relevant graphics in S3 include: Durov three-line diagram, piper three-line diagram, pie chart, scatter plot, fingerprint diagram, bar chart and line chart, which use hydrogeochemical methods to make preliminary identification of water samples to be identified.

[0012] The final determination using mathematical methods in S4 is as follows: S4.1: Perform principal component analysis on the hydrogeochemical data of the water sample to be judged and the standard water sample to optimize the high-dimensional data into low-dimensional data; S4.2: Assign values ​​to standard water samples according to the type of water samples. Assign values ​​to the different types of standard water samples. S4.3: Randomly select 80% of the standard water samples as training samples and the remaining 20% ​​as accuracy verification samples, and build PCA-Logistic and PCA-SVC discriminant models by combining logistic regression method and support vector clustering method; S4.4: Determine the source of the water sample to be identified by comprehensively utilizing hydrogeochemical methods, PCA-Logistic and PCA-SVC identification methods.

[0013] The third technical solution adopted by the present invention is a device for accurately identifying the source of water inrushing in mines, which includes a power conditioning circuit, a chemical composition measuring device, a main controller, and a complete system arranged on a server and configured to be accessible through a PC browser. When the PC browser executes the system for accurately identifying the source of water inrushing in mines, the above-mentioned method for accurately identifying the source of water inrushing in mines is implemented.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention can acquire the hydrogeochemical data of the mine water inrush source in real time, and permanently process the collected data to obtain a sample database, eliminating the interference of other water samples on the discrimination results. The principal component analysis method eliminates the information cross-influence between water samples, and objectively and accurately discriminates the source of mine water inrush, which innovates the way of acquiring hydrogeochemical data of mine water inrush source, further improves the accuracy of water inrush source discrimination, and ensures the reliability of the system in various engineering applications.

[0015] The present invention uses a mine water inrush source component determination device to quickly acquire data online, and combines it with a high-precision identification system to achieve rapid water source identification and accurate prediction of abnormal water inrush. The embodiment of the present invention can further improve the rapidity and accuracy of mine water inrush source identification, ensuring the reliability of the system in various engineering applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the structure of a device for accurately identifying the source of water inrush in a mine provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0018] Example 1 The system for accurately distinguishing the source of water inrush in a mine disclosed in this embodiment is applied to accurately distinguish the source of water inrush in a mine under the influence of a multi-water-filled aquifer, and includes: Data acquisition module: used to obtain the hydrogeochemical data of each aquifer in the region, and read each sample data into the MySQL-based hydrochemical database to establish a regional hydrogeochemical characteristic database; Data management module: standard data screening is performed on the hydrological and geochemical characteristics database data, and the screened data enters the sample database as reference data for identifying the source of water inrush in the mine; Map drawing module: statistically analyze the data of the water samples to be judged and the sample database, draw hydrological and geochemical related maps, and make preliminary judgments on the water samples to be judged; Mine water inrush source identification module: Use mathematical methods to make final judgments and determine the source of mine water inrush.

[0019] The accurate identification system for the source of water inrush in a mine provided by the present embodiment is used to screen the hydrogeochemical data of each aquifer in the area through the standard data header information (Header Info), thereby obtaining a sample database, and forming a hydrochemical database in combination with the water sample to be identified; the Durov three-line diagram, piper three-line diagram, pie chart, scatter plot and fingerprint diagram, bar chart and line chart are drawn through the map drawing module to make a preliminary identification of the water sample to be identified; if the hydrogeochemical method and the mathematical statistics method cannot make a preliminary identification, the principal component analysis method is further used to reduce the dimension of the data with information intersection, and then the mathematical method of logistic regression and support vector clustering method are used for the final identification, which can effectively improve the accuracy of the identification of the source of water inrush in a mine; combined with the in-situ determination of the water source components, the rapid, efficient and accurate prediction of the source of water inrush in a mine can be finally achieved.

[0020] Example 2 On the basis of Example 1, the method for accurately distinguishing the source of water inrush in a mine disclosed in this embodiment uses the system for accurately distinguishing the source of water inrush in a mine of Example 1, and includes the following steps: S1: Obtain the hydrogeochemical data of each aquifer in the region, and read the hydrogeochemical data into a hydrochemical database based on MySQL in the format of xls and csv files to establish a hydrogeochemical characteristic database for the region; The aquifers in the region include the Quaternary porous phreatic aquifer (Q4), the Cretaceous Zhidan Group porous fissure aquifer (K1zh), the Cretaceous Luohe Formation porous fissure aquifer (K1l), the Jurassic Anding Formation porous fissure aquifer (J2a), the Jurassic Zhiluo Formation porous fissure aquifer (J2z), the Jurassic Yan'an Formation porous fissure aquifer (J2y), the Permian Lower Shihezi Formation sandstone fissure aquifer (P1x), the Permian Shanxi Formation sandstone fissure aquifer (P1s), the Carboniferous sandstone and limestone karst fissure aquifer (C3t 3 , K2, K3, K4), karst fissure aquifer in the second section of Fengfeng Formation (O2f 2 ), the karst fissure aquifer of the Upper Majiagou Formation in the Ordovician Basin (O2S), the Permian sandstone fissure aquifer (13 -1 ~11 -2 Coal seam aquifer (section) and 8~4 -2 Coal-bed aquifer (segment)), Taiyuan Formation limestone karst fissure aquifer (C3 1-12 ), Ordovician limestone karst fissure aquifer (O); hydrogeochemical data of aquifers include sampling location, aquifer (body), K + 、Na + , Ca 2+ Mg 2+ , Fe 2+ , Fe 3+ NH4 + , Cu 2+ , Sr 2+ , Ba 2+ , Mn 2+ 、Al 3+ OH - 、CO3 2- 、HCO3 - , Cl - 、SO4 2- 、NO2 - 、NO3 - PO4 3- 、F - , pH, total hardness, permanent hardness (non-carbonate hardness), temporary hardness (carbonate hardness), negative hardness, total alkalinity, total acidity (phenolphthalein acidity), strong acid acidity (methyl orange acidity), mineralization, dissolved solids, total dissolved solids, free CO2, corrosive CO2, H2SiO3, soluble SiO2, permanganate index (oxygen consumption COD Mn ), chemical oxygen demand (CODCr ), total phosphorus (in terms of P), electrical conductivity, Cu (copper), Pb (lead), Zn (zinc), Cd (cadmium), As (arsenic), Hg (mercury), Mn (manganese), Cr 6+ , T Fe (Total Iron), T Cr (Total chromium), Al (aluminum), volatile phenols, cyanide, ammonia nitrogen, total nitrogen, nitrate nitrogen, nitrite nitrogen, biochemical oxygen demand (BOD5), total organic carbon (TOC), solids reduced by ignition, ignition residue, phenolphthalein alkalinity, methyl orange alkalinity, suspended solids, turbidity, total bacteria count, oil and fat, water chemical type, sampling date, etc.

[0021] The system data construction uses the database MySQL8.0, which is a commonly used open source relational database management system (RDBMS). MySQL stores data in different tables instead of placing all data in a large warehouse, which increases speed and flexibility.

[0022] S2: Standard data screening is performed on the hydrogeochemical characteristic database data, and the screened data enters the sample database as reference data for identifying the source of mine water inrush; According to the standard data, the hydrogeochemical characteristic database is screened and the sample database is formed according to the structure of Table 1. Combined with the calibrated aquifer (body) in S1, the sample data with ID 1 is screened from top to bottom to form a sample database, which serves as the reference data for the subsequent identification of the source of mine water inrush. Table 1 is the result table of the main water chemical components of each water sample.

[0023] Table 1

[0024] S3: Statistically analyze the data of the water samples to be identified and the sample database, draw hydrogeochemical related maps, and use hydrogeochemical methods to make preliminary identification of the water samples to be identified; S4: There is information overlap between the water sample to be judged and the standard water sample in the sample database. Mathematical methods are used to make the final judgment and determine the source of the mine water inrush.

[0025] Information crossover means that the source of mine water inrush is relatively complex, often a mixture of water from multiple aquifers, and traditional hydrogeochemical methods cannot be used to identify the water source well.

[0026] Example 3 On the basis of Example 2, in S1, the hydrogeochemical data are read into the hydrochemical database by automatically fuzzily matching the attributes of the data table and the headers of excel and csv through the data import function, or manually adjusting them. After submission, the data set is stored in the server-side database for subsequent calls and management, thereby establishing a regional hydrogeochemical characteristic database.

[0027] Example 4 Based on Example 2, the standard data in S2 includes: K + 、Na + , Ca 2+ Mg 2+ 、HCO3 - , Cl - 、SO4 2- , pH and mineralization.

[0028] The hydrogeochemical characteristic database contains various types of data, which can help analyze the hydrogeochemical characteristics of the region. However, if it is used for the discrimination analysis of the source of mine water inrush, there will be problems such as large data volume, high dimension and information redundancy. Therefore, in determining the standard data K + 、Na + , Ca 2+ Mg 2+ 、HCO3 - , Cl - 、SO4 2- , pH and mineralization, the data is processed by the business logic layer and stored in the sample database.

[0029] Furthermore, when standard data screening is performed in S2, when new water sample data enters the water chemistry database, the sample database is automatically updated by combining the data screening standards with the existing water-filled aquifers in the determined area, and serves as reference data for subsequent mine water inrush source identification.

[0030] Example 5 On the basis of Example 2, the relevant graphics in S3 include: Durov three-line diagram, piper three-line diagram, pie chart, scatter plot, fingerprint diagram, bar chart and line chart, and the hydrogeochemical method is used to perform preliminary identification of the water sample to be identified.

[0031] Durov three-line diagram, piper three-line diagram, scatter plot and fingerprint diagram are a graphical method for water chemistry classification. Based on the relative content and proportional relationship of the main anions and cations in the water samples, the water chemistry data are visualized on the diagram; pie charts, bar charts and line charts use statistical methods to distinguish different water samples by displaying the data of each standard ion in percentage.

[0032] The water samples to be judged can be manually input or directly imported through the header of excel or csv, and the sample database can be associated to form a water chemistry database. In the drawing section, each chart can select the corresponding data table or data set as needed, enter the corresponding graphic name, determine the position of the graphic name in the graphic, determine the symbol in the legend for control, and finally select the hydrogeochemical water sample attributes required by the graphic to generate Durov three-line diagram, piper three-line diagram, pie chart, scatter plot and fingerprint diagram, bar chart and line chart.

[0033] Example 6 Even if the standard data key information is used to screen the hydrogeochemical data of each sample, the water source of the mine water inrush is still interfered by the cross information. Therefore, when the hydrogeochemical method is used to perform preliminary water source identification, it is often inevitable to encounter the problem of difficulty in identification. Therefore, based on Example 2, the mathematical method is used in S4 to perform the final identification as follows: S4.1: Perform principal component analysis on the hydrogeochemical data of the water sample to be judged and the standard water sample to optimize the high-dimensional data into low-dimensional data; S4.2: Assign values ​​to standard water samples according to the type of water samples. If there are several types of standard water samples, assign values ​​to them respectively. For example, assign values ​​1, 2, 3, etc. to standard water samples according to the type of water samples. There may be multiple aquifers in the region. The possible aquifers that may be filled with water are counted and summarized, and the aquifers are sorted from shallow to deep and assigned values. That is, the Quaternary porous phreatic aquifer (Q4) is assigned 1, the Cretaceous Zhidan Group porous fracture confined aquifer (K1zh) is assigned 2, and the Jurassic Anding Formation porous fracture confined aquifer (J2a) is assigned 3. The values ​​are assigned in turn and no further description is given, so as to calibrate each aquifer. Due to the diversity of hydrogeochemical data, in order to facilitate subsequent data addition, modification and other operations, various types of data are managed in a dictionary manner. When the types of hydrogeochemical data are complex, they are added through dictionary types.

[0034] S4.3: Randomly select 80% of the standard water samples as training samples and the remaining 20% ​​as accuracy verification samples, and build PCA-Logistic and PCA-SVC discriminant models by combining logistic regression method and support vector clustering method; The principal component analysis method is used to optimize high-dimensional data into lower-dimensional data. The samples are trained in combination with the calibrated aquifer. After the discrimination model is determined to be reliable, the source of the water sample to be judged is discriminated.

[0035] S4.4: Comprehensively utilize hydrogeochemical methods, PCA-Logistic and PCA-SVC identification methods to determine the source of the water sample to be identified, that is, determine which aquifer the water sample to be identified mainly comes from.

[0036] By adopting the PCA-Logistic and PCA-SVC discrimination methods, the problem that hydrological geochemical analysis methods and mathematical statistics methods cannot eliminate data redundancy can be effectively avoided, and the dimension of the data can be significantly reduced, thereby simplifying the subsequent analysis and modeling process. These advantages make the PCA-Logistic and PCA-SVC discrimination methods have broad application prospects in the direction of mine water inrush source discrimination.

[0037] Example 7 In-situ determination of the source of water inrush in a mine plays an important role in the rapid identification of water sources and the accurate prediction of abnormal water inrush. If the hydrochemical data of water inrush in a mine measured in-situ is inaccurate, it will have a negative impact on the precision and accuracy of the system, which is not conducive to the rapid and efficient identification and accurate prediction of the source of water inrush in a mine. Therefore, this embodiment discloses a device for accurately identifying the source of water inrush in a mine, including a power conditioning circuit, a chemical composition determination device, a main controller, and a complete system arranged on a server and configured to be accessible through a PC browser. When the PC browser executes the system for accurately identifying the source of water inrush in a mine described in Example 1, the method for accurately identifying the source of water inrush in a mine as disclosed in any one of Example 26 is implemented.

[0038] like Figure 1 As shown, in this embodiment, the mine water inrush source identification equipment is deployed in a front-end and back-end separation mode, where ava, Vue, redis, R Server, MySQL, Nginx, etc. are all deployed in the server. After the backend service is started, the system login access and configuration, management and use of the water source identification system can be realized through the conventional browser of the PC and mobile terminals. The in-situ measurement adopts the electrochemical method, which eliminates the problems of high working environment requirements and large numerical fluctuations in other methods and equipment when performing in-situ measurement. Combined with the high-precision identification system, it can quickly identify and accurately predict water inrush.

[0039] The mine water inrush source accurate identification equipment can detect K + 、Na + , Ca 2+ Mg 2+ 、HCO3 - 、SO4 2- , Cl - The concentration is determined by pH and mineralization; the discrimination results are presented as data on the user interface. The high-precision discrimination system can output the results in seconds, and the discrimination accuracy is increased to 90% or above.

[0040] The use of accurate mine water inrush source identification equipment to quickly acquire data online can achieve rapid identification of water sources and accurate forecasting of abnormal water inrush.

[0041] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0042] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0043] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A system for accurately identifying the source of water inrush in mines, characterized in that: include: Data acquisition module: used to obtain the hydrogeochemical data of each aquifer in the region, and read each sample data into the MySQL-based hydrochemical database to establish a regional hydrogeochemical characteristic database; Data management module: standard data screening is performed on the hydrological and geochemical characteristics database data, and the screened data enters the sample database as reference data for identifying the source of water inrush in the mine; Map drawing module: statistically analyze the data of the water samples to be judged and the sample database, draw hydrological and geochemical related maps, and make preliminary judgments on the water samples to be judged; Mine water inrush source identification module: Use mathematical methods to make final judgments and determine the source of mine water inrush.

2. A method for accurately identifying the source of water inrush in a mine, using the system for accurately identifying the source of water inrush in a mine as claimed in claim 1, characterized in that: The following steps are involved: S1: Obtain the hydrogeochemical data of each aquifer in the region, and read the hydrogeochemical data into a hydrochemical database based on MySQL in the format of xls and csv files to establish a hydrogeochemical characteristic database for the region; S2: Standard data screening is performed on the hydrogeochemical characteristic database data, and the screened data enters the sample database as reference data for identifying the source of mine water inrush; S3: Statistically analyze the data of the water samples to be identified and the sample database, draw hydrogeochemical related maps, and use hydrogeochemical methods to make preliminary identification of the water samples to be identified; S4: There is information overlap between the water sample to be judged and the standard water sample in the sample database. Mathematical methods are used to make the final judgment and determine the source of the mine water inrush.

3. The method for accurately identifying the source of water inrush in a mine according to claim 2, characterized in that: In S1, the hydrogeochemical data are read into the hydrochemical database by automatically fuzzily matching the attributes of the data table and the headers of excel and csv through the data import function, or manually adjusting them. After submission, the data set is stored in the database on the server side for subsequent calling and management, thereby establishing a regional hydrogeochemical characteristic database.

4. The method for accurately identifying the source of water inrush in a mine according to claim 2, characterized in that: The standard data in S2 include: K + 、Na + , Ca 2+ Mg 2+ 、HCO3 - , Cl - 、SO4 2- , pH and mineralization.

5. The method for accurately identifying the source of water inrush in a mine according to claim 4, characterized in that: When standard data screening is performed in S2, when new water sample data enters the water chemistry database, the sample database is automatically updated by combining the data screening standards with the existing water-filled aquifers in the determined area, and used as reference data for subsequent mine water inrush source identification.

6. The method for accurately identifying the source of water inrush in a mine according to claim 2, characterized in that: The relevant graphics in S3 include: Durov three-line diagram, piper three-line diagram, pie chart, scatter diagram, fingerprint diagram, bar chart and line chart, and the hydrogeochemical method is used to perform preliminary identification of the water sample to be identified.

7. The method for accurately identifying the source of water inrush in a mine according to claim 2, characterized in that: The final determination using mathematical methods in S4 is specifically as follows: S4.1: Perform principal component analysis on the hydrogeochemical data of the water sample to be judged and the standard water sample to optimize the high-dimensional data into low-dimensional data; S4.2: Assign values ​​to standard water samples according to the type of water samples. Assign values ​​to the different types of standard water samples. S4.3: Randomly select 80% of the standard water samples as training samples and the remaining 20% ​​as accuracy verification samples, and build PCA-Logistic and PCA-SVC discriminant models by combining logistic regression method and support vector clustering method; S4.4: Determine the source of the water sample to be identified by comprehensively utilizing hydrogeochemical methods, PCA-Logistic and PCA-SVC identification methods.

8. Mine water inrush source accurate identification equipment, characterized by: The invention comprises a power conditioning circuit, a chemical composition determination device, a main controller and a complete system arranged on a server and is configured to be accessible through a PC browser. When the PC browser executes the system for accurately distinguishing the source of water inrushing in a mine, the method for accurately distinguishing the source of water inrushing in a mine as described in any one of claims 2 to 7 is implemented.

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