CN-115408361-B - Construction method of stratum risk assessment database and stratum risk assessment method

Abstract

The invention discloses a rock stratum risk assessment database construction method and a rock stratum risk assessment method, wherein the method comprises the steps of respectively constructing a triangular membership function of comprehensive data in holes of various known lithologies, a triangular membership function of comprehensive data of equipment and a risk judgment rule, and obtaining a critical value of the comprehensive data in the holes of the rock stratum of the known lithologies and a critical value of the comprehensive data of the equipment; calculating and judging the membership degree of the lithology to be identified according to the constructed corresponding triangle membership function and the critical value, and then evaluating the risk of the rock stratum according to the risk judging rule of the lithology. The method can establish an accurate three-dimensional geological model of the rock stratum to obtain a rock stratum distribution rule, and can complete corresponding rock stratum and roadway risk assessment.

Inventors

• ZHANG NING
• ZHANG YOUZHEN
• Zhong Zicheng
• SHAO JUNJIE
• LI DONGSHENG
• LIU QI
• LI XUTAO
• LI WANGNIAN

Assignees

• 中煤科工西安研究院(集团)有限公司

Dates

Publication Date

20260512

Application Date

20220817

Claims (4)

1. 1. The construction method of the rock stratum risk assessment database is characterized in that the rock stratum risk assessment database comprises a plurality of risk assessment data of known lithology, and the risk assessment data of any known lithology comprises a triangle membership function of comprehensive data in a hole, a triangle membership function of comprehensive data of equipment and a risk judgment rule; the method comprises the steps of respectively constructing a triangle membership function of comprehensive data in holes of various known lithologies, a triangle membership function of comprehensive data of equipment and a risk judging rule, and obtaining a critical value of the comprehensive data in the holes of each known lithology stratum and a critical value of the comprehensive data of the equipment; The construction method of the triangle membership function of the comprehensive data in the hole of any known lithology rock stratum and the triangle membership function of the comprehensive data of equipment comprises the following steps: Constructing an in-hole comprehensive data set and an equipment comprehensive data set of the known lithology rock stratum by adopting a method A, and then respectively adopting a clustering method to obtain a triangle membership function of the in-hole comprehensive data set and a triangle membership function of the equipment comprehensive data set of the known lithology to obtain a critical value of the in-hole comprehensive data of the known lithology and a critical value of the equipment comprehensive data; The method A comprises the following steps: (1) Drilling and collecting drilling rod mechanical parameters, rock stratum performance parameters and drilling machine equipment measurement data when drilling to different positions, wherein the drilling rod mechanical parameters comprise drilling force when the drilling rod works, tangential force between the drilling rod and the rock stratum, frictional resistance between the drilling rod and the rock stratum and torque when the drilling rod works; (2) Carrying out standardized processing on the mechanical parameters of the drill rod at each position, enabling the standardized processed data to conform to standard normal distribution, enabling each data set to have no dimension, respectively carrying out weighted calculation on the data at each position to obtain mechanical property data of the drill rod at each position, and enabling the mechanical property data of the drill rod at all positions to form a mechanical property data set F; F i ∈F,F i ＝u 1 ·A i +u 2 ·B i +u 3 ·C i +u 4 ·D i , The drilling machine comprises a drilling machine body, a drilling machine and a drilling machine, wherein i is any position in the drilling machine, i=1, 2 and n, F i is drill rod mechanical property data at the position i, u 1 ,u 2 ,u 3 ,u 4 is a weighting coefficient, u 1 ,u 2 ,u 3 ,u 4 is 0-1 in a value range, u 1 +u 2 +u 3 +u 4 ＝1;A i is standardized data of drilling force when the drill rod works at the position i, B i is standardized data of tangential force between the drill rod and a rock stratum at the position i, C i is standardized data of friction resistance between the drill rod and the rock stratum at the position i, and D i is standardized data of torque when the drill rod works at the position i; Carrying out standardization processing on the collected rock stratum performance parameters of each position, enabling the data subjected to the standardization processing to conform to standard normal distribution, enabling each data set to have no dimension, respectively carrying out weighted calculation on the data of each position to obtain rock stratum performance data of each position, and enabling the rock stratum performance data of all positions to form a rock stratum performance data set M; M i ∈M,M i ＝u 5 ·E i +u 6 ·F i +u 7 ·G i +u 8 ·H i +u 9 ·J i , The method comprises the steps of (1) setting M i as a rock stratum performance data set at a position i, setting u 5 ,u 6 ,u 7 ,u 8 ,u 9 as a weighting coefficient, setting u 5 ,u 6 ,u 7 ,u 8 ,u 9 as standard data of rock compressive strength at the position i, setting u 5 +u 6 +u 7 +u 8 +u 9 ＝1;E i as standard data of rock shear strength at the position i, setting F i as standard data of rock color saturation at the position i, setting C i as standard data of rock gray scale at the position i, setting H i as standard data of rock porosity at the position i, and setting J i as standard data of rock porosity at the position i; After the data standardization is carried out on the equipment measurement data, a principal component analysis method is adopted for carrying out data dimension reduction, and a first principal data set X, a second principal data set Y and a third principal data set Z are obtained; (3) An in-well integrated dataset Q 1 ,Q 1i ∈Q 1 was constructed, Wherein Q 1i is the comprehensive data in the hole when in the position i, c 1 、c 2 is a learning factor, the value ranges are real numbers between 0 and 1, a and b are adjusting coefficients, and the value ranges are real numbers between 0 and 3; Constructing an equipment comprehensive data set Q 2 ,Q 2i ∈Q 2 ,Q 2i ＝e 1 ·X i +e 2 ·Y i +e 3 ·Z i ,, wherein Q 2i is equipment comprehensive data at a position i, e 1 ,e 2 ,e 3 is respectively a weighting coefficient, the weighting coefficients are real numbers between 0 and 1, e 1 +e 2 +e 3 ＝1;X i ∈X,X i is first main data at the position i, Y i ∈Y,Y i is second main data at the position i, and Z i ∈Z,Z i is third main data at the position i; the construction method of any risk judgment rule of the known lithology comprises the following steps: Sorting data in any hole comprehensive data set with known lithology from small to large, sequentially dividing the sorted data set into 7 sections U 1 ～U 7 , wherein the number of the data in each section ：[x 1 ,x a+1 )、[x a+1 ,x 2a+1 )、[x 2a+1 ,x 3a+1 )、[x 3a+1 ,x 4a+1 )、[x 4a+1 ,x 5a+1 )、[x 5a+1 ,x 6a+1 )、[x 6a+1 ,x n ], is alpha or more than alpha by 1-6 or less than alpha by 1-6, alpha is an integer of the quotient of dividing the total number of the hole comprehensive data set by 7, x 1 and x n are respectively the minimum value and the maximum value in the hole comprehensive data set, x a+1 、x 2a+1 、x 3a+1 、x 4a+1 、x 5a+1 、x 6a+1 is respectively the end value of each section, and x 1 ＜x a+1 ＜x 2a+1 ＜x 3a+1 ＜x 4a+1 ＜x 5a+1 ＜x 6a+1 ＜x n ; Sorting data in any one of the comprehensive equipment data sets from small to large, sequentially dividing the sorted data set into 7 sections H 1 ～H 7 , wherein the number of the data in each section ：[y 1 ,y b+1 )、[y b+1 ,y 2b+1 )、[y 2b+1 ,y 3b+1 )、[y 3b+1 ,y 4b+1 )、[y 4b+1 ,y 5b+1 )、[y 5b+1 ,y 6b+1 )、[y 6b+1 ,y n ], is beta or more than beta by 1-6 or less than beta by 1-6, beta is an integer of a quotient of dividing the total number of the comprehensive equipment data sets by 7, y 1 and y n are respectively the minimum value and the maximum value in the comprehensive equipment data sets, y b+1 、y 2b+1 、y 3b+1 、y 4b+1 、y 5b+1 、y 6b+1 is respectively the end value of each section, and y 1 ＜y b+1 ＜y 2b+1 ＜y 3b+1 ＜y 4b+1 ＜y 5b+1 ＜y 6b+1 ＜y n ; constructing the risk judgment rule of the known lithology: T 1 ～T 5 represents the rock stratum dangers with different grades, namely extremely low danger, medium danger, high danger and extremely high danger, wherein T 0 in the judgment rule is one of T 2 ～T 4 .
2. 2. A method for evaluating the risk of a rock formation, which is characterized in that the method utilizes a database constructed by the method as claimed in claim 1 to evaluate the risk of the rock formation to be evaluated, and comprises the following steps: step 1, constructing an in-hole comprehensive data set and an equipment comprehensive data set of a rock stratum to be evaluated by adopting the method A of claim 1; Step 2, evaluating lithology of the rock formation to be evaluated using the database constructed by the method of claim 1, comprising: calculating the membership degree of the rock stratum at the position i to be evaluated to various known lithologies according to the size relation between the comprehensive data in the hole at the position i of the rock stratum to be evaluated and the critical value of the comprehensive data in the hole at any known lithology, calculating the membership degree of the rock stratum at the position i to any known lithology by adopting the triangular membership degree function of the comprehensive data set in the hole at any known lithology, and selecting the membership degree maximum mu 1i,max after calculating the membership degree of the rock stratum at the position i to various known lithologies; calculating membership degrees of the rock stratum at the position i to be evaluated to various known lithologies according to the magnitude relation between the equipment comprehensive data of the rock stratum drilling position i to be evaluated and the critical value of the equipment comprehensive data of any known lithology rock stratum, calculating the membership degrees of the rock stratum at the position i to any known lithology by adopting a triangle membership function of the equipment comprehensive data set of any known lithology rock stratum, and selecting a membership degree maximum mu 2i,max after calculating the membership degrees of the rock stratum at the position i to various known lithologies; If mu 1i,max and mu 2i,max belong to the same lithology and are both greater than a first threshold, the lithology at the position i is that of mu 1i,max and mu 2i,max , the value range of the first threshold is [0.7,0.8 ]: If μ 1i,max is greater than a second threshold, the lithology at position i is lithology to which μ 1i,max belongs, and the value range of the second threshold is [0.9,0.95]; If μ 2i,max is greater than a third threshold, the lithology at the position i is lithology of μ 2i,max , and the value range of the third threshold is [0.9,0.95]; Step 3, evaluating the dangers of different drilling positions of the rock stratum to be evaluated by using the database constructed by the method of claim 1, wherein the method comprises the steps of judging the dangers of the rock stratum at any position i according to the comprehensive data in the holes of the position and the comprehensive data of equipment according to the dangers judging rule of the affiliated rock stratum of the position; And 4, the dangers of a plurality of positions of the same section form a danger evaluation result of the section of the rock stratum.
3. 3. The method for evaluating the dangerousness of the coal mine deformation roadway is characterized in that the method of claim 2 is adopted to evaluate dangerousness of a plurality of different sections of the roadway, and then the dangerousness of the whole roadway is evaluated by using the dangerousness evaluation results of the sections.
4. 4. A drilling system comprising a drilling machine, a detection system and a control system, wherein the control system is used for controlling the drilling machine to perform drilling work and controlling the detection system to detect the environment in the hole at the same time, and the drilling system is characterized in that the control system comprises the rock stratum risk assessment database and the rock stratum risk assessment module according to claim 1, and the rock stratum risk assessment module adopts the method according to claim 2 to assess the rock stratum risk in the drilling process according to the rock stratum risk assessment database.

Description

Construction method of stratum risk assessment database and stratum risk assessment method Technical Field The invention relates to the technical field of rock stratum risk assessment, in particular to a construction method of a rock stratum risk assessment database and a rock stratum risk assessment method. Background At present, scholars at home and abroad conduct researches on a large number of theories, methods and application technologies of rock stratum danger evaluation, particularly engineering danger evaluation, positive effects are achieved on reducing safety production accidents, guaranteeing personal safety and improving economic benefits in the engineering field, for example, part of scholars sequentially put forward an accident three-step safety evaluation method and a safety pre-evaluation index method, gray theory and fuzzy mathematics are applied to safety evaluation, and theories and methods such as a gray correlation evaluation method and a gray clustering evaluation method are put forward, and the methods play a positive promotion role in coal mine safety production practice, but still cannot provide accurate stratum data information due to limitations of the respective methods on specific rock stratum application, meanwhile, rock stratum data explored in the early period of tunnel construction cannot truly and effectively reflect the current state, so that the danger judgment result is often not accurate and ideal. Disclosure of Invention Aiming at the defects or shortcomings of the prior art, the invention provides a construction method of a stratum risk assessment database. Therefore, the stratum risk assessment database provided by the invention comprises a plurality of risk assessment data of known lithology, wherein the risk assessment data of any known lithology comprises a triangle membership function of comprehensive data in a hole, a triangle membership function of comprehensive data of equipment and a risk judgment rule; The construction method comprises the steps of respectively constructing a triangle membership function of comprehensive data in holes of various known lithologies, a triangle membership function of comprehensive data of equipment and a risk judgment rule, and obtaining a critical value of the comprehensive data in the holes of each known lithology stratum and a critical value of the comprehensive data of the equipment; The construction method of the triangle membership function of the comprehensive data in the hole of any known lithology rock stratum and the triangle membership function of the comprehensive data of equipment comprises the following steps: Constructing an in-hole comprehensive data set and an equipment comprehensive data set of the known lithology rock stratum by adopting a method A, and then respectively adopting a clustering method to obtain a triangle membership function of the in-hole comprehensive data set and a triangle membership function of the equipment comprehensive data set of the known lithology to obtain a critical value of the in-hole comprehensive data of the known lithology and a critical value of the equipment comprehensive data; The method A comprises the following steps: (1) Drilling and collecting drilling rod mechanical parameters, rock stratum performance parameters and drilling machine equipment measurement data when drilling to different positions, wherein the drilling rod mechanical parameters comprise drilling force when the drilling rod works, tangential force between the drilling rod and the rock stratum, frictional resistance between the drilling rod and the rock stratum and torque when the drilling rod works; (2) The acquired mechanical parameters of the drill rod at each position are standardized, so that the standardized data accords with standard normal distribution, each data set has no dimension, the data at each position are weighted and calculated respectively to obtain the mechanical property data of the drill rod at each position, and the mechanical property data of the drill rod at all positions form a mechanical property data set ; ,Wherein i is any position in the borehole, i=1, 2, carrying out the following steps; the mechanical property data of the drill rod at the position i; ,,, respectively, are the weight coefficients of the two, ,,,The value ranges are all 0-1, and+++=1;The drilling force data is standardized data of drilling force when the drill rod works at the position i; the data is normalized data of tangential force between the drill rod and the rock stratum at the position i; the data is normalized data of the frictional resistance between the drill rod and the rock stratum at the position i; The data is standardized data of torque of the drill rod during working at the position i; the collected rock stratum performance parameters of all the positions are standardized, so that the standardized data accords with standard normal distribution, all data sets are dimensionless, the data of a