CN115796573A - Multi-factor safety grade evaluation method for underground excavation section of mine - Google Patents
Multi-factor safety grade evaluation method for underground excavation section of mine Download PDFInfo
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Abstract
The invention relates to the technical field of mine tunneling, in particular to a multi-factor safety grade evaluation method for a mine underground tunneling section, which comprises three steps of a model construction stage, a data collection stage and a field revision stage, wherein the existing exploration information is comprehensively considered through the conditions of mine geological information, underground coal seam occurrence state and the like in the model construction stage, and a safety evaluation model before tunneling is established; in the data collection stage, main control factors and quantitative threshold values of the risk influence of the tunneling section are determined by using an internet technology and a theoretical analysis means, historical data of existing mines and tunneling end faces are collected, and the historical data are summarized and input into a safety assessment database to assist in model calculation; in the field revision stage, the original model is adaptively revised by utilizing monitoring data, forepoling hole data and field construction conditions which are collected in real time on site, and the field data is utilized to calculate and determine the safety evaluation level. The invention has the characteristics of safety, reliability, high efficiency and strong operability.
Description
Technical Field
The invention relates to the technical field of mine excavation, in particular to a multi-factor safety grade evaluation method for an underground excavation section of a mine.
Background
Coal is an important energy source and is indispensable for social and economic development. With the rapid development of Chinese economy, the demand of coal is increasing day by day. The method is characterized in that mine disasters such as rock burst, coal and gas outburst, mine water outburst and the like are more serious and frequent in the process of mine tunneling and mining, the disaster formation mechanism is more complex, and particularly poor engineering geological conditions such as geological stress concentration, roof breakage, abnormal gas occurrence, water-rich mutation and the like are associated near geological construction positions such as faults and the like, so that the method is a key part and a key link of roadway tunneling construction technology and safety management under the condition of coal mine deep mining. Therefore, in the process of coal mine safety production management, a series of national and industrial laws and standards related to coal mine safety production are exported by the country for standardizing the mining production and safety management of coal mines, but the evaluation is mainly based on experience judgment and qualitative estimation at present, the evaluation method is lack of scientificity, the reliability of the evaluation result is not high, the safety management system of coal mine tunneling still needs to be optimized, and the strength of safety management is strengthened. Therefore, the multi-factor safety grade evaluation method for the underground excavation section of the mine is designed, and has the characteristics of safety, reliability, high efficiency and strong operability.
Disclosure of Invention
The invention provides a multi-factor safety grade evaluation method for an underground excavation section of a mine, and solves the problems in the prior art.
The invention is realized by adopting the following technical scheme: the multi-factor safety grade evaluation method for the underground excavation section of the mine is characterized by comprising the following steps of:
s1, model construction: the method comprises the steps of establishing a safety evaluation model before excavation by comprehensively considering existing exploration information through mine geological information, underground coal seam occurrence states, original ground drilling information, a rock stratum histogram and construction scheme design and technical processes;
s2, data collection: determining main control factors influenced by the tunneling section risk by utilizing an internet technology and a theoretical analysis means, quantizing a threshold value aiming at each main control factor, collecting historical data of each existing mine and each tunneling end face, summarizing and inputting into a safety assessment database, and assisting in model calculation;
s3, field revision stage: and determining influence conditions and decision attributes by using monitoring data, forepoling data and field construction conditions which are collected on site in real time, adaptively revising the original model, and calculating and determining the safety evaluation level by using the field data.
Specifically, the main control factors comprise faults, gas, aquifers, waste roadways, invaded rocks and cave cavities.
Specifically, the pre-excavation safety evaluation model is obtained by adding calculation scores of various influence factors, and judging the safety level through the scores:
A y ＝y·λ y +ε y wherein A is y Calculating a score, λ, for the master factor y y Weight coefficient of y being a dominant factor, epsilon y Observing an index for the risk severity of the master factor y;
A＝∑A i wherein A is i The score for the ith of the master factor is calculated.
A is more than or equal to 100 and more than 80, and the work is avoided and suspended at a high risk level; 80 is more than or equal to A and more than 60, the risk level is high, the tunneling early warning is realized, the monitoring is enhanced, and the detection before tunneling is enhanced; a is more than 40 when the ratio is more than 60, and the risk grade is high, and the prominent main control factors are pertinently prevented and controlled; a is more than or equal to 40 and more than 10, the risk level is low, and all parameters of the tunneling section are normally monitored; a is more than or equal to 10 and more than 0, the risk level is low, normal monitoring is guaranteed, and the tunneling progress is properly accelerated.
Drawings
FIG. 1 is a flow chart for implementing the multi-factor safety rating evaluation method for the underground excavation section of the mine.
Detailed Description
The invention is further explained below with reference to the drawings.
The invention provides a multi-factor safety grade evaluation method for an underground excavation section of a mine. As shown in fig. 1, it is characterized by comprising the following steps:
s1, model construction: the method comprises the steps of establishing a safety evaluation model before excavation by comprehensively considering existing exploration information through mine geological information, underground coal seam occurrence states, original ground drilling information, a rock stratum histogram and construction scheme design and technical processes;
s2, data collection: determining main control factors influenced by the risk of a tunneling section by utilizing an internet technology and a theoretical analysis means, quantifying threshold values aiming at the main control factors, collecting historical data of existing mines and tunneling end faces, summarizing and inputting the historical data into a safety assessment database, and assisting in model calculation;
s3, field revision stage: and determining influence conditions and decision attributes by using monitoring data, forepoling data and field construction conditions which are collected on site in real time, adaptively revising the original model, and calculating and determining the safety evaluation level by using the field data.
Specifically, the main control factors comprise faults, gas, aquifers, waste roadways, invaded rocks and cave cavities.
Specifically, the pre-excavation safety evaluation model is obtained by adding calculation scores of various influence factors, and judging the safety level through the scores:
A y ＝y·λ y +ε y wherein A is y Calculating a score, λ, for the master factor y y Weight coefficient of y being a dominant factor, epsilon y Observing an index for the risk severity of the master factor y;
A＝∑A i wherein A is i The score for the ith of the master factor is calculated.
A is more than or equal to 100 and more than 80, and the avoidance pause work is carried out at a high risk level; 80 is more than or equal to A and more than 60, the risk level is high, the tunneling early warning is realized, the monitoring is enhanced, and the detection before tunneling is enhanced; 60 is more than or equal to A and more than 40, and the risk grade is moderate, and the prominent main control factors are pertinently prevented and controlled; a is more than or equal to 40 and more than 10, the risk level is low, and all parameters of the tunneling section are monitored normally; a is more than or equal to 10 and more than 0, the risk level is low, normal monitoring is guaranteed, and the tunneling progress is properly accelerated.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (3)
1. The multi-factor safety grade evaluation method for the underground excavation section of the mine is characterized by comprising the following steps of:
s1, model construction: the method comprises the steps of establishing a safety evaluation model before excavation by comprehensively considering existing exploration information through mine geological information, underground coal seam occurrence states, original ground drilling information, a rock stratum histogram and construction scheme design and technical processes;
s2, data collection: determining main control factors influenced by the tunneling section risk by utilizing an internet technology and a theoretical analysis means, quantizing a threshold value aiming at each main control factor, collecting historical data of each existing mine and each tunneling end face, summarizing and inputting into a safety assessment database, and assisting in model calculation;
s3, field revision stage: and determining influence conditions and decision attributes by using monitoring data, forepoling data and field construction conditions which are collected on site in real time, adaptively revising the original model, and calculating and determining the safety evaluation level by using the field data.
2. The method for evaluating the multi-factor safety rating of the underground excavation section of the mine according to claim 1, wherein the main control factors comprise faults, gas, aquifers, abandoned tunnels, invaded rocks and cave cavities.
3. The method for evaluating the multi-factor safety rating of the underground excavation section of the mine according to claim 1, wherein the safety evaluation model before excavation is the sum of the calculation scores of all the influence factors, and the safety rating is judged by the scores:
A y ＝y·λ y +ε y wherein A is y Calculating a score, λ, for the master factor y y Weight coefficient of y being a dominant factor, epsilon y Observing an index for the risk severity of the master factor y;
A＝∑A i wherein A is i The score for the ith of the master factor is calculated.
A is more than or equal to 100 and more than 80, and the avoidance pause work is carried out at a high risk level; 80 is more than or equal to A and more than 60, the risk level is high, the tunneling early warning is realized, the monitoring is enhanced, and the detection before tunneling is enhanced; a is more than 40 when the ratio is more than 60, and the risk grade is high, and the prominent main control factors are pertinently prevented and controlled; a is more than or equal to 40 and more than 10, the risk level is low, and all parameters of the tunneling section are monitored normally; a is more than or equal to 10 and more than 0, the risk level is low, normal monitoring is guaranteed, and the tunneling progress is properly accelerated.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116720731A (en) * | 2023-05-25 | 2023-09-08 | 北京龙软科技股份有限公司 | Coal mine financial all-factor risk prevention and control early warning method and early warning system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116720731A (en) * | 2023-05-25 | 2023-09-08 | 北京龙软科技股份有限公司 | Coal mine financial all-factor risk prevention and control early warning method and early warning system |
| CN116720731B (en) * | 2023-05-25 | 2023-12-01 | 北京龙软科技股份有限公司 | Coal mine financial all-factor risk prevention and control early warning method and early warning system |
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