CN103592420A - Equipment and method for comprehensively and rapidly judging water bursting source of mine - Google Patents

Abstract

The invention discloses equipment and a method for comprehensively and rapidly judging a water bursting source of a mine. The equipment comprises a water level sensor, a light-splitting light path module, a water temperature sensor, an analog-digital converter, a CPU (central processing unit) and a displayer, wherein signal output ends of the water level sensor, the light-splitting light path module and the water temperature sensor are connected with a signal input end of the CPU through the analog-digital converter; and a signal output end of the CPU is connected with the displayer. According to the equipment and the method for comprehensively and rapidly judging the water bursting source of the mine, a mine water bursting source comprehensive judgment model is composited with a conventional hydrochemical analysis method, a conventional water level analysis judgment method and a conventional water temperature analysis judgment method, so that defects in the three conventional methods can be mutually made up, the reliability of a mine water bursting source comprehensive judgment result is improved, the error rate of a mine water bursting source comprehensive judgment is reduced, and a more accurate mine water bursting source comprehensive judgment result is obtained accordingly.

Description

The comprehensive quick recognition Apparatus and method in water bursting in mine water source

Technical field

The present invention relates to Mine Hydrogeology, water chemistry technical field of measurement and test, refer to particularly the comprehensive quick recognition Apparatus and method in a kind of water bursting in mine water source.

Background technology

The formation of mine water disaster and generation have one from breeding, build up, develop, develop into the change procedure of flared.In the different phase of this complicated change procedure, tend to manifest or expose gushing water omen in various degree from different aspect.The following three kinds of methods that usually adopt are separately differentiated at tradition gushing water water source:

1) hydrochemical analyse diagnostic method, water chemistry identification module adopts respectively fuzzy synthesis diagnostic method, Grey Incidence, Fuzzy Recognition, artificial neural network method, hierarchial-cluster analysis method, Reduced Gradient to set up gushing water discrimination model.

2) water level analysis and distinguishing method, chooses the water level elevation of each boring as differentiating the factor, and water level elevation refers to absolute altitude, is the absolute altitude of absolute elevation with respect to the Huanghai Sea, the distance of city absolute elevation zero point and underground water table.First find out that the up-to-date underground water table in mining area is dynamic, select the water-stage record of representative ground hydrological observation wells.

3) water temperature analysis and distinguishing method, ground temperature increases with the increase of stratum depth of burial, linear Changing Pattern.The underground temperature gradient that equals ground temperature is multiplied by well depth adds zone of constant temperature temperature.

Facts have proved and utilize separately above-mentioned three kinds of methods to carry out the differentiation of gushing water water source, because distinguishing rule is comparatively single, can cause in error rate high, the problem such as at the bottom of discrimination precision.

Summary of the invention

Object of the present invention will provide a kind of water bursting in mine water source comprehensive quick recognition Apparatus and method for exactly, and this Apparatus and method for can be analyzed the quality at water source fast and accurately.

For realizing this object, the comprehensive quick recognition equipment in the designed water bursting in mine of the present invention water source, it is characterized in that: it comprises level sensor, light splitting optical path module, cooling-water temperature sensor, analog to digital converter, central processing unit and display, wherein, the signal output part of described level sensor, light splitting optical path module and cooling-water temperature sensor is connected the signal input part of central processing unit by analog to digital converter, the signal output part of central processing unit connects display.

In technique scheme, it also comprises pH value electrode, and the signal output part of described pH value electrode connects the signal input part of central processing unit by analog to digital converter.

In technique scheme, it also comprises conductance electrode, and the signal output part of described conductance electrode connects the signal input part of central processing unit by analog to digital converter.

In technique scheme, it also comprises oxidation-reduction potential electrode, and the signal output part of described oxidation-reduction potential electrode connects the signal input part of central processing unit by analog to digital converter.

Utilize the comprehensive quick recognition equipment in above-mentioned water bursting in mine water source to carry out a method for the comprehensive quick recognition in water bursting in mine water source, it is characterized in that, it comprises the steps:

Step 1: in central processing unit, store P with reference to water source sample, wherein, and P=m*Z, m representative is with reference to the number of water-bearing zone kind in water source sample, and Z represents with reference to the reference sample number that in water source sample, i kind water-bearing zone comprises, i=1,2 ..., m;

Step 2: according to P the evaluation set U with reference to Sample Establishing water-bearing zone, water source kind, have U={a in central processing unit ₁, a ₂, a ₃..., a _i... a _m, m representative is with reference to the number of water-bearing zone kind in water source sample, a _irepresent the differentiation element sets of factors in i kind water-bearing zone, wherein, described differentiation element sets of factors comprises the K in water-bearing zone ⁺ion concentration adds Na ⁺ion concentration, Ca ²⁺ion concentration, M _g ²⁺ion concentration, Cl ^-ion concentration, SO ₄ ^2-ion concentration, HCO ₃ ^-the water level in ion concentration, water-bearing zone and the water temperature in water-bearing zone, so a _i={ a _1i, a _2i, a _3i..., a _ki... a _8ia wherein _8irepresent the 8th assembly average of differentiating element factor in i kind water-bearing zone;

Step 3: certain water bursting in mine to be measured water source is sampled, measure K in described water bursting in mine to be measured water source sample by light splitting optical path module ⁺ion, N _a ⁺ion, C _a ²⁺ion, M _g ²⁺ion, Cl ^-ion, SO ₄ ^2-ion and HCO ₃ ^-the concentration of ion, by level sensor, measure the water level in described water bursting in mine to be measured water source sample, by cooling-water temperature sensor, measure the water temperature in described water bursting in mine to be measured water source sample, and above-mentioned all concentration, water temperature and waterlevel data are sent to central processing unit;

Wherein, for described water bursting in mine to be measured water source sample, K ⁺the concentration of ion adds Na ⁺the concentration of ion is designated as y ₁, Ca ²⁺the concentration of ion is designated as y ₂, Mg ²⁺the concentration of ion is designated as y ₃, Cl ^-the concentration of ion is designated as y ₄, SO ₄ ^2-the concentration of ion is designated as y ₅, HCO ₃ ^-the concentration of ion is designated as y ₆, water level is designated as y ₇, water temperature is designated as y ₈, obtain the differentiation element factor measured value set y={y at water bursting in mine to be measured water source ₁, y ₂, y ₃, y ₄, y ₅, y ₆, y ₇, y ₈;

Step 4: due to the differentiation element factor at above-mentioned each water bursting in mine to be measured water source, water bursting in mine to be measured water source is belonged to that importance while judging with reference to water source different, first in central processing unit, set up water bursting in mine to be measured water source with respect to the differentiation factor weight fuzzy matrix E={e with reference to water source _k1, e _k2... e _km, k=1,2 ..., 8; Wherein,

$\left\{\begin{array}{c}{e}_{\mathrm{ki}}=\frac{y_k}{a_{\mathrm{ki}}}/\underset{k=1}{\overset{8}{\mathrm{\Σ}}}\frac{y_k}{a_{\mathrm{ki}}}\\ e_{\mathrm{ki}}\≥0\\ \underset{k=1}{\overset{8}{\mathrm{\Σ}}}{e}_{\mathrm{ki}}=1\\ a_{\mathrm{ki}}=\underset{p=1}{\overset{z}{\mathrm{\Σ}}}{x}_{\mathrm{kip}}/Z\end{array}\right.---\left(1\right)$

Y in above-mentioned formula (1) _kfor the measured value k=1 of k factor of described water bursting in mine to be measured water source sample, 2 ..., 8, a _kifor the assembly average with reference to k the factor in i kind water-bearing zone in water source sample, wherein Z represents with reference to the reference sample number that in water source sample, i kind water-bearing zone comprises, k=1, and 2 ..., 8; I=1,2 ..., m, x _kipfor p the numerical value with reference to k evaluation factor of water source sample comprising in the i kind water-bearing zone with reference to water source sample;

Next show that water bursting in mine to be measured water source is with respect to the differentiation factor weight fuzzy matrix E with reference to water source:

Then in central processing unit, set up water bursting in mine to be measured water source sample with respect to the degree of membership fuzzy relationship matrix r={ r with reference to water source sample _ki, r _kirepresent that sample k evaluation factor in water bursting in mine to be measured water source, with respect to the degree of membership with reference to i kind water-bearing zone in water source sample, calculated by following subordinate function:

$R\left(r_{\mathrm{ki}}\right)=e^{-\frac{1}{b_{\mathrm{ki}}}{(y_k-a_{\mathrm{ki}})}^2}$

$b_{\mathrm{ki}}={\left[\frac{\underset{p=1}{\overset{z}{\mathrm{\Σ}}}{(x_{\mathrm{kip}}-a_{\mathrm{ki}})}^2}{Z-1}\right]}^{\frac{1}{2}}---\left(3\right)$

B in above-mentioned formula (3) _kifor with reference to the standard deviation of k evaluation factor to i kind water-bearing zone in water source sample, y _kfor the measured value k=1 of k factor of described water bursting in mine to be measured water source sample, 2 ..., 8, a _kifor the assembly average with reference to k the factor in i kind water-bearing zone in water source sample, x _kipfor p the numerical value with reference to k evaluation factor of water source sample comprising in the i kind water-bearing zone with reference to water source sample, Z represents the reference sample with reference to i kind water-bearing zone comprises in water source sample, so to each water bursting in mine to be measured water source sample, all can obtain a fuzzy relation matrix:

Wherein, T is transposition symbol;

Finally in central processing unit, averaged with respect to the same column data addition of capable 8 column datas of m of the differentiation factor weight fuzzy matrix E with reference to water source in water bursting in mine to be measured water source, obtain the water bursting in mine to be measured water source of 1 row 8 row with respect to the differentiation factor weight Mean Matrix E1 with reference to water source, obtain the Making by Probability Sets B that water bursting in mine to be measured water source sample is under the jurisdiction of various water-bearing zones, B=E1*R ^t, obtain B={b ₁, b ₂... b _m} ^t, b _ifor this sample is under the jurisdiction of the degree in each water-bearing zone, i=1,2 ..., m, is under the jurisdiction of water-bearing zone kind corresponding to maximum probability value in the Making by Probability Sets B in various water-bearing zones at water bursting in mine to be measured water source sample and is the water-bearing zone kind that water bursting in mine to be measured water source is corresponding.

The present invention utilizes the method for recording in above-mentioned steps to be complex as a water bursting in mine water source comprehensive distinguishing model traditional hydrochemical analyse diagnostic method, water level analysis and distinguishing method and water temperature analysis and distinguishing method, make above-mentioned three traditional methods can mutually make up the defect existing separately, increase the confidence level of water bursting in mine water source comprehensive distinguishing result, reduce the error rate of water bursting in mine water source comprehensive distinguishing process, thereby obtain more accurate water bursting in mine water source comprehensive distinguishing result.The equipment that method simultaneously of the present invention relies on is simple, and when water bursting in mine water source comprehensive distinguishing accurately improves, the cost of water bursting in mine water source comprehensive distinguishing does not increase, and has strengthened the comprehensive distinguishing efficiency at water bursting in mine water source.

Accompanying drawing explanation

Fig. 1 is the structural representation of the comprehensive quick recognition equipment in water bursting in mine of the present invention water source.

Wherein, 1-level sensor, 2-display, 3-light splitting optical path module, 4-cooling-water temperature sensor, 5-pH value electrode, 6-conductance electrode, 7-oxidation-reduction potential electrode, 8-analog to digital converter, 9-central processing unit.

Embodiment

Below in conjunction with the drawings and specific embodiments, the present invention is described in further detail:

The comprehensive quick recognition equipment in water bursting in mine water source shown in Fig. 1, it comprises level sensor 1, light splitting optical path module 3, cooling-water temperature sensor 4, analog to digital converter 8, central processing unit 9 and display 2, wherein, the signal output part of described level sensor 1, light splitting optical path module 3 and cooling-water temperature sensor 4 is connected the signal input part of central processing unit 9 by analog to digital converter 8, the signal output part of central processing unit 9 connects display 2.

In technique scheme, it also comprises pH value electrode 5, conductance electrode 6, oxidation-reduction potential electrode 7, and the signal output part of described pH value electrode 5, conductance electrode 6 and oxidation-reduction potential electrode 7 is connected the signal input part of central processing unit 9 by analog to digital converter 8.Above-mentioned pH value electrode 5 is used for measuring the ph value at water source, and conductance electrode 6 is used for measuring the hardenability at water source, and oxidation-reduction potential electrode 7 is used for measuring the oxidizability at water source.

The comprehensive quick recognition equipment in water bursting in mine of the present invention water source is Mine-used I. S, can be under coal mine the directly various ion parameters of test water chemistry, water temperature and water level, according to hydrochemical analyse test result and water temperature field, water level (hydraulic pressure) measured value, test result is more accurate like this, there is not secondary pollution, more special oxidizable water chemistry ion and electrode parameters, can only test at the scene could accurate response.

Utilize the comprehensive quick recognition equipment in above-mentioned water bursting in mine water source to carry out a method for the comprehensive quick recognition in water bursting in mine water source, it comprises the steps:

Step 1: individual with reference to water source sample (as with reference to database) at the interior storage of central processing unit 9 P, wherein, P=m*Z, m representative is with reference to the number of water-bearing zone kind in water source sample, and Z represents with reference to the reference sample number that in water source sample, i kind water-bearing zone comprises, i=1,2 ..., m;

Step 2: interior according to P the evaluation set U with reference to Sample Establishing water-bearing zone, water source kind at central processing unit 9, there is U={a ₁, a ₂, a ₃..., a _i... a _m, m representative is with reference to the number of water-bearing zone kind in water source sample, a _irepresent the differentiation element sets of factors in i kind water-bearing zone, wherein, described differentiation element sets of factors comprises the K in water-bearing zone ⁺ion concentration adds Na ⁺ion concentration, Ca ²⁺ion concentration, M _g ²⁺ion concentration, Cl ^-ion concentration, SO ₄ ^2-ion concentration, HCO ₃ ^-the water temperature in the water level in ion concentration, water-bearing zone (hydraulic pressure) and water-bearing zone, so a _i={ a _1i, a _2i, a _3i..., a _ki... a _8ia wherein _8irepresent the 8th assembly average of differentiating element factor in i kind water-bearing zone;

Step 3: certain water bursting in mine to be measured water source is sampled, measure K in described water bursting in mine to be measured water source sample by light splitting optical path module 3 ⁺ion, N _a ⁺ion, C _a ²⁺ion, M _g ²⁺ion, Cl ^-ion, SO ₄ ^2-ion and HCO ₃ ^-the concentration of ion, the water level of measuring in described water bursting in mine to be measured water source sample by level sensor 1, the water temperature of measuring in described water bursting in mine to be measured water source sample by cooling-water temperature sensor 4, and above-mentioned all concentration, water temperature and waterlevel data are sent to central processing unit 9;

Wherein, for described water bursting in mine to be measured water source sample, K ⁺the concentration of ion adds Na ⁺the concentration of ion is designated as y ₁, Ca ²⁺the concentration of ion is designated as y ₂, Mg ²⁺the concentration of ion is designated as y ₃, Cl ^-the concentration of ion is designated as y ₄, SO ₄ ^2-the concentration of ion is designated as y ₅, HCO ₃ ^-the concentration of ion is designated as y ₆, water level is designated as y ₇, water temperature is designated as y ₈, obtain the differentiation element factor measured value set y={y at water bursting in mine to be measured water source ₁, y ₂, y ₃, y ₄, y ₅, y ₆, y ₇, y ₈;

Step 4: due to the differentiation element factor at above-mentioned each water bursting in mine to be measured water source, water bursting in mine to be measured water source is belonged to that importance while judging with reference to water source different, first in central processing unit 9, set up water bursting in mine to be measured water source with respect to the differentiation factor weight fuzzy matrix E={e with reference to water source _k1, e _k2... e _km, k=1,2 ..., 8; Wherein,

$\left\{\begin{array}{c}{e}_{\mathrm{ki}}=\frac{y_k}{a_{\mathrm{ki}}}/\underset{k=1}{\overset{8}{\mathrm{\Σ}}}\frac{y_k}{a_{\mathrm{ki}}}\\ e_{\mathrm{ki}}\≥0\\ \underset{k=1}{\overset{8}{\mathrm{\Σ}}}{e}_{\mathrm{ki}}=1\\ a_{\mathrm{ki}}=\underset{p=1}{\overset{z}{\mathrm{\Σ}}}{x}_{\mathrm{kip}}/Z\end{array}\right.---\left(1\right)$

Y in above-mentioned formula (1) _kfor the measured value k=1 of k factor of described water bursting in mine to be measured water source sample, 2 ..., 8, a _kifor the assembly average with reference to k the factor in i kind water-bearing zone in water source sample, wherein Z represents with reference to the reference sample number that in water source sample, i kind water-bearing zone comprises, k=1, and 2 ..., 8; I=1,2 ..., m, x _kipfor p the numerical value with reference to k evaluation factor of water source sample comprising in the i kind water-bearing zone with reference to water source sample;

Next show that water bursting in mine to be measured water source is with respect to the differentiation factor weight fuzzy matrix E with reference to water source:

Then at the interior water bursting in mine to be measured water source sample of setting up of central processing unit 9 with respect to the degree of membership fuzzy relationship matrix r={ r with reference to water source sample _ki, r _kirepresent that sample k evaluation factor in water bursting in mine to be measured water source, with respect to the degree of membership with reference to i kind water-bearing zone in water source sample, calculated by following subordinate function:

$R\left(r_{\mathrm{ki}}\right)=e^{-\frac{1}{b_{\mathrm{ki}}}{(y_k-a_{\mathrm{ki}})}^2}$

$b_{\mathrm{ki}}={\left[\frac{\underset{p=1}{\overset{z}{\mathrm{\Σ}}}{(x_{\mathrm{kip}}-a_{\mathrm{ki}})}^2}{Z-1}\right]}^{\frac{1}{2}}---\left(3\right)$

B in above-mentioned formula (3) _kifor with reference to the standard deviation of k evaluation factor to i kind water-bearing zone in water source sample, y _kfor the measured value k=1 of k factor of described water bursting in mine to be measured water source sample, 2 ..., 8, a _kifor the assembly average with reference to k the factor in i kind water-bearing zone in water source sample, x _kipfor p the numerical value with reference to k evaluation factor of water source sample comprising in the i kind water-bearing zone with reference to water source sample, Z represents the reference sample with reference to i kind water-bearing zone comprises in water source sample, so to each water bursting in mine to be measured water source sample, all can obtain a fuzzy relation matrix:

Wherein, T is transposition symbol;

Finally water bursting in mine to be measured water source is added and is averaged with respect to the same column data of capable 8 column datas of m of the differentiation factor weight fuzzy matrix E with reference to water source central processing unit 9 is interior, obtain the water bursting in mine to be measured water source of 1 row 8 row with respect to the differentiation factor weight Mean Matrix E1 with reference to water source, obtain the Making by Probability Sets B that water bursting in mine to be measured water source sample is under the jurisdiction of various water-bearing zones, B=E1*R ^t, obtain B={b ₁, b ₂... b _m} ^t, b _ifor this sample is under the jurisdiction of the degree in each water-bearing zone, i=1,2, ..., m, at water bursting in mine to be measured water source sample, be under the jurisdiction of water-bearing zone kind corresponding to maximum probability value in the Making by Probability Sets B in various water-bearing zones and be the water-bearing zone kind that water bursting in mine to be measured water source is corresponding, central processing unit 9 is known that final sentencing be transported to display 2 and show.

That before step 1, first utilizes that conventional hydrochemical analyse diagnostic method, water temperature analysis and distinguishing method, water level analysis and distinguishing method carry out gushing water water source tentatively sentences knowledge, then knows water-bearing zone kind corresponding to gushing water water source utilizing comprehensive distinguishing analytic approach described in above-mentioned steps 1～4 finally to sentence.Can further increase the accuracy at gushing water water source like this.

The present invention is according to hydrochemical analyse test result and water temperature field, water level (hydraulic pressure) measured value, utilizing the Intelligent Recognition information analysis system of above-mentioned steps to sentence prominent (gushing) water water source type in knowledge down-hole and Source Of Supply, is to implement prominent quick, the easy a kind of effective means of sentencing knowledge of (gushing) water Source Of Supply of down-hole.According to water quality result, water temperature and water level (hydraulic pressure) value of instrument test, express-analysis nourishment source, significant to water filling of mine condition and water damage control, can greatly improve safety production efficiency.

Illustrate concrete gushing water of the present invention water source discrimination method below

Reference sample

Wherein, m (the water-bearing zone kind number under reference sample)=3;

The reference sample number that every kind of water-bearing zone of Z(comprises)=3;

P(reference sample sum)=m*Z=9;

N (differentiating element factor number)=8;

Sample to be tested 1.

N (differentiate element factor number)=8 wherein

Sample to be tested 2

N (differentiate element factor number)=8 wherein.

Using sample to be tested 1 as input data input central processing unit 9, build the comprehensive distinguishing model of describing in above-mentioned steps and calculate Output rusults matrix B together with the reference sample of having known.

From matrix of consequence, judging maximal value is that b1 thinks that this sample to be tested belongs to the possibility maximum of coal measures Sandstone Water.

Using sample to be tested 2 as input data input central processing unit 9, build the comprehensive distinguishing model of describing in above-mentioned steps and calculate Output rusults matrix B together with the reference sample of having known.

From matrix of consequence, judging maximal value is that therefore b3 thinks that this sample to be tested belongs to the possibility maximum of coal measures Sandstone Water.

The content that this instructions is not described in detail belongs to the known prior art of professional and technical personnel in the field.

Claims (6)

1. the comprehensive quick recognition equipment in water bursting in mine water source, it is characterized in that: it comprises level sensor (1), light splitting optical path module (3), cooling-water temperature sensor (4), analog to digital converter (8), central processing unit (9) and display (2), wherein, the signal output part of described level sensor (1), light splitting optical path module (3) and cooling-water temperature sensor (4) is connected the signal input part of central processing unit (9) by analog to digital converter (8), the signal output part of central processing unit (9) connects display (2).

2. the comprehensive quick recognition equipment in water bursting in mine according to claim 1 water source, it is characterized in that: it also comprises pH value electrode (5), the signal output part of described pH value electrode (5) connects the signal input part of central processing unit (9) by analog to digital converter (8).

3. the comprehensive quick recognition equipment in water bursting in mine according to claim 1 water source, it is characterized in that: it also comprises conductance electrode (6), the signal output part of described conductance electrode (6) connects the signal input part of central processing unit (9) by analog to digital converter (8).

4. the comprehensive quick recognition equipment in water bursting in mine according to claim 1 water source, it is characterized in that: it also comprises oxidation-reduction potential electrode (7), the signal output part of described oxidation-reduction potential electrode (7) connects the signal input part of central processing unit (9) by analog to digital converter (8).

5. utilize in claim 1～4 the comprehensive quick recognition equipment in water bursting in mine water source described in any one to carry out a method for the comprehensive quick recognition in water bursting in mine water source, it is characterized in that, it comprises the steps:

Step 1: storage P is individual with reference to water source sample in central processing unit (9), wherein, P=m*Z, m representative is with reference to the number of water-bearing zone kind in water source sample, and Z represents with reference to the reference sample number that in water source sample, i kind water-bearing zone comprises, i=1,2 ..., m;

Step 2: according to P the evaluation set U with reference to Sample Establishing water-bearing zone, water source kind, have U={a in central processing unit (9) ₁, a ₂, a ₃..., a _i... a _m, m representative is with reference to the number of water-bearing zone kind in water source sample, a _irepresent the differentiation element sets of factors in i kind water-bearing zone, wherein, described differentiation element sets of factors comprises the K in water-bearing zone ⁺ion concentration adds Na ⁺ion concentration, Ca ²⁺ion concentration, Mg ²⁺ion concentration, Cl ^-ion concentration, SO ₄ ^2-ion concentration, HCO ₃ ^-the water level in ion concentration, water-bearing zone and the water temperature in water-bearing zone, so a _i={ a _1i, a _2i, a _3i..., a _ki... a _8ia wherein _8irepresent the 8th assembly average of differentiating element factor in i kind water-bearing zone;

Step 3: certain water bursting in mine to be measured water source is sampled, measure K in described water bursting in mine to be measured water source sample by light splitting optical path module (3) ⁺ion, N _a ⁺ion, C _a ²⁺ion, M _g ²⁺ion, Cl ^-ion, SO ₄ ^2-ion and HCO ₃ ^-the concentration of ion, by level sensor (1), measure the water level in described water bursting in mine to be measured water source sample, by cooling-water temperature sensor (4), measure the water temperature in described water bursting in mine to be measured water source sample, and above-mentioned all concentration, water temperature and waterlevel data are sent to central processing unit (9);

Wherein, for described water bursting in mine to be measured water source sample, K ⁺the concentration of ion adds Na ⁺the concentration of ion is designated as y ₁, Ca ²⁺the concentration of ion is designated as y ₂, Mg ²⁺the concentration of ion is designated as y ₃, Cl ^-the concentration of ion is designated as y ₄, SO ₄ ^2-the concentration of ion is designated as y ₅, HCO ₃ ^-the concentration of ion is designated as y ₆, water level is designated as y ₇, water temperature is designated as y ₈, obtain the differentiation element factor measured value set y={y at water bursting in mine to be measured water source ₁, y ₂, y ₃, y ₄, y ₅, y ₆, y ₇, y ₈;

Step 4: due to the differentiation element factor at above-mentioned each water bursting in mine to be measured water source, water bursting in mine to be measured water source is belonged to that importance while judging with reference to water source different, first in central processing unit (9), set up water bursting in mine to be measured water source with respect to the differentiation factor weight fuzzy matrix E={e with reference to water source _k1, e _k2... e _km, k=1,2 ..., 8; Wherein,

$\left\{\begin{array}{c}{e}_{\mathrm{ki}}=\frac{y_k}{a_{\mathrm{ki}}}/\underset{k=1}{\overset{8}{\mathrm{\Σ}}}\frac{y_k}{a_{\mathrm{ki}}}\\ e_{\mathrm{ki}}\≥0\\ \underset{k=1}{\overset{8}{\mathrm{\Σ}}}{e}_{\mathrm{ki}}=1\\ a_{\mathrm{ki}}=\underset{p=1}{\overset{z}{\mathrm{\Σ}}}{x}_{\mathrm{kip}}/Z\end{array}\right.---\left(1\right)$

Y in above-mentioned formula (1) _kfor the measured value k=1 of k factor of described water bursting in mine to be measured water source sample, 2 ..., 8, a _kifor the assembly average with reference to k the factor in i kind water-bearing zone in water source sample, wherein Z represents with reference to the reference sample number that in water source sample, i kind water-bearing zone comprises, k=1, and 2 ..., 8; I=1,2 ..., m, x _kipfor p the numerical value with reference to k evaluation factor of water source sample comprising in the i kind water-bearing zone with reference to water source sample;

Next show that water bursting in mine to be measured water source is with respect to the differentiation factor weight fuzzy matrix E with reference to water source:

Then in central processing unit (9), set up water bursting in mine to be measured water source sample with respect to the degree of membership fuzzy relationship matrix r={ r with reference to water source sample _ki, r _kirepresent that sample k evaluation factor in water bursting in mine to be measured water source, with respect to the degree of membership with reference to i kind water-bearing zone in water source sample, calculated by following subordinate function:

$R\left(r_{\mathrm{ki}}\right)=e^{-\frac{1}{b_{\mathrm{ki}}}{(y_k-a_{\mathrm{ki}})}^2}$

$b_{\mathrm{ki}}={\left[\frac{\underset{p=1}{\overset{z}{\mathrm{\Σ}}}{(x_{\mathrm{kip}}-a_{\mathrm{ki}})}^2}{Z-1}\right]}^{\frac{1}{2}}---\left(3\right)$

B in above-mentioned formula (3) _kifor with reference to the standard deviation of k evaluation factor to i kind water-bearing zone in water source sample, y _kfor the measured value k=1 of k factor of described water bursting in mine to be measured water source sample, 2 ..., 8, a _kifor the assembly average with reference to k the factor in i kind water-bearing zone in water source sample, x _kipfor p the numerical value with reference to k evaluation factor of water source sample comprising in the i kind water-bearing zone with reference to water source sample, Z represents the reference sample with reference to i kind water-bearing zone comprises in water source sample, so to each water bursting in mine to be measured water source sample, all can obtain a fuzzy relation matrix:

Wherein, T is transposition symbol;

Finally in central processing unit (9), averaged with respect to the same column data addition of capable 8 column datas of m of the differentiation factor weight fuzzy matrix E with reference to water source in water bursting in mine to be measured water source, obtain the water bursting in mine to be measured water source of 1 row 8 row with respect to the differentiation factor weight Mean Matrix E1 with reference to water source, obtain the Making by Probability Sets B that water bursting in mine to be measured water source sample is under the jurisdiction of various water-bearing zones, B=E1*R ^t, obtain B={b ₁, b ₂... b _m} ^t, b _ifor this sample is under the jurisdiction of the degree in each water-bearing zone, i=1,2 ..., m, is under the jurisdiction of water-bearing zone kind corresponding to maximum probability value in the Making by Probability Sets B in various water-bearing zones at water bursting in mine to be measured water source sample and is the water-bearing zone kind that water bursting in mine to be measured water source is corresponding.

6. the method for the comprehensive quick recognition in water bursting in mine according to claim 5 water source, it is characterized in that: that before step 1, first utilizes that conventional hydrochemical analyse diagnostic method, water temperature analysis and distinguishing method, water level analysis and distinguishing method carry out gushing water water source tentatively sentences knowledge, then know water-bearing zone kind corresponding to gushing water water source utilizing comprehensive distinguishing analytic approach described in above-mentioned steps 1～4 finally to sentence.

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