CN115456325B - Analysis method for disaster fortification capability of non-coal mine - Google Patents

Analysis method for disaster fortification capability of non-coal mine Download PDF

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CN115456325B
CN115456325B CN202210895553.2A CN202210895553A CN115456325B CN 115456325 B CN115456325 B CN 115456325B CN 202210895553 A CN202210895553 A CN 202210895553A CN 115456325 B CN115456325 B CN 115456325B
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李全明
张红
段志杰
颜平
魏东
赵雪芳
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Shaoguan Shirenzhang Mining Co ltd
North China University of Technology
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North China University of Technology
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Abstract

The invention provides an analysis method for disaster fortification capability of a non-coal mine, which comprises the following steps: s1: acquiring disaster fortification related information of non-coal mine mountain; s2: dividing and integrating the disaster fortification related information into time sequences based on disaster types to obtain disaster fortification time sequence information corresponding to the disaster types; s3: analyzing the disaster fortification capacity of the non-coal mine based on the disaster fortification time sequence information to obtain disaster fortification capacity evaluation values and fortification capacity defect analysis results of corresponding disaster types; the disaster fortification time sequence information is obtained by integrating the disaster fortification capacity related information obtained according to the indexes according to the defense stages, and the comprehensive and accurate evaluation of the disaster fortification capacity from the indexes is realized based on the disaster fortification time sequence information, so that the comprehensive result of the disaster fortification capacity can be intuitively seen, and the analysis result of the disaster fortification defect can be intuitively seen.

Description

Analysis method for disaster fortification capability of non-coal mine
Technical Field
The invention relates to the technical field of disaster fortification, in particular to an analysis method for disaster fortification capability of non-coal mine mountains.
Background
At present, the disaster fortification capability reflects the fact that an emergency management system utilizes engineering, economic and social resources to develop disaster prevention and reduction activities, so that the loss caused by disasters, especially huge disasters, is reduced to the maximum extent, the vulnerability is reduced, and the restoring force capability is improved, including the reduction of risks before the disasters or the early preparation to reduce the possible loss caused by the disasters; the disaster reacts and is scientifically disposed rapidly when the disaster occurs, so that the loss caused by the disaster is minimized; the post-disaster reconstruction is rapid and the pre-disaster stability and prosperity are recovered as soon as possible. The purpose of disaster fortification capability analysis of the non-coal mine is to grasp the implementation condition of related measures adopted by the non-coal mine to be lower than natural disasters.
However, analysis of disaster fortification ability of non-coal mines is mainly based on the following general indexes: non-coal mine site basic information, site fortification information and emergency management information; however, because the sources of the information are different, and the evaluation standards and the analysis methods in the analysis are different, it is difficult to accurately analyze the disaster fortification capability of the non-coal mine from the plurality of indexes by adopting a unified system or a coherent analysis method, and automatically integrate the analysis results based on the plurality of indexes to obtain the comprehensive results capable of visually observing the disaster fortification capability and the analysis results capable of visually observing the disaster fortification defects.
Therefore, the invention provides an analysis method for disaster fortification capability of a non-coal mine.
Disclosure of Invention
The invention provides an analysis method for disaster fortification capability of a non-coal mine, which is used for integrating disaster fortification capability related information acquired according to a plurality of indexes according to a defense stage of playing a defense role when a disaster occurs to acquire disaster fortification time sequence information, and comprehensively and accurately evaluating the disaster fortification capability of the non-coal mine from the plurality of indexes based on the disaster fortification time sequence information, so that the acquired analysis result of the disaster fortification capability can intuitively see the comprehensive result of the disaster fortification capability and the analysis result of disaster fortification defects.
The invention provides an analysis method for disaster fortification capability of a non-coal mine, which comprises the following steps:
s1: acquiring disaster fortification related information of non-coal mine mountain;
s2: dividing and integrating the disaster fortification related information into time sequences based on disaster types to obtain disaster fortification time sequence information corresponding to the disaster types;
s3: and analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information to obtain disaster fortification capability evaluation values and fortification capability defect analysis results of corresponding disaster types.
Preferably, the method for analyzing disaster fortification capability of non-coal mine comprises the following steps of S1: acquiring disaster fortification related information of a non-coal mine, comprising:
s101: acquiring basic information and site fortification information of the non-coal mine site;
s102: the emergency resource management information of the non-coal mine is adjusted and taken out from an emergency resource management library;
s103: and summarizing the basic information, the site fortification information and the emergency resource management information to obtain disaster fortification related information of the non-coal mine.
Preferably, the method for analyzing disaster fortification capability of non-coal mine comprises the following steps of S2: based on disaster types, dividing and timing integrating the disaster fortification related information to obtain disaster fortification timing information corresponding to the disaster types, wherein the method comprises the following steps:
s201: dividing sub-disaster fortification related information corresponding to the disaster category in the disaster fortification related information based on basic information in the disaster fortification related information and the disaster category;
s202: and carrying out time sequence integration on the related information of the sub disaster fortification to obtain disaster fortification time sequence information corresponding to the disaster type.
Preferably, the method for analyzing disaster fortification capability of non-coal mine is as follows: dividing sub-disaster fortification related information corresponding to the disaster category in the disaster fortification related information based on basic information in the disaster fortification related information and the disaster category, wherein the sub-disaster fortification related information comprises:
Constructing a non-coal mine three-dimensional model of the non-coal mine based on basic information in the disaster fortification related information;
based on the disaster types, determining required fortification positions and required fortification plan information corresponding to the disaster types in the non-coal mine three-dimensional model;
dividing sub-site fortification information corresponding to disaster types in the site fortification information in the disaster fortification related information based on the required fortification position and the required fortification plan information;
dividing sub-emergency resource management information corresponding to disaster types in the emergency resource management information in the disaster fortification related information based on the fortification planning information;
and regarding the sub-site fortification information and the sub-emergency resource management information as sub-disaster fortification related information corresponding to the disaster type.
Preferably, the method for analyzing disaster fortification capability of a non-coal mine, based on the disaster type, determines a required fortification position and required fortification plan information corresponding to the disaster type in the non-coal mine three-dimensional model, including:
determining a field evaluation data type based on the disaster type, and identifying evaluation positions of the non-coal mine three-dimensional model based on an evaluation position list of the field evaluation data type to determine a plurality of field evaluation positions;
Based on the evaluation rule of each evaluation position, initially evaluating the defending capability of the corresponding site evaluation position to the disaster corresponding to the disaster type to obtain an initial evaluation value;
marking the on-site evaluation positions in the non-coal mine three-dimensional model, determining an evaluation marking model, and determining evaluation influence relations among all on-site evaluation positions in the non-coal mine three-dimensional model based on an evaluation position influence relation list;
constructing an evaluation position influence relation three-dimensional network based on the distribution positions of the on-site evaluation positions in the non-coal mine three-dimensional model and all evaluation influence relations;
determining the interval distance between every two field evaluation positions based on the distribution positions, and determining the comprehensive influence degree of each field evaluation position based on the interval distance and the corresponding evaluation influence relation;
taking a field evaluation position corresponding to the maximum comprehensive influence degree as a central evaluation position, taking the central evaluation position as a starting point, and taking a field evaluation position adjacent to the central evaluation position as an end point to construct an influence pointing vector of the central evaluation position;
when the center evaluation position has only one influence pointing vector, unifying the three-dimensional network of the influence relation of the evaluation position under a preset coordinate system based on the center evaluation position and the influence pointing vector to obtain a standard coordinate unification result;
When the center evaluation position affects more than one pointing vector, determining a first interaction degree of a field evaluation position corresponding to the end point of each pointing vector and the center evaluation position based on the evaluation position impact relation list, and unifying the three-dimensional network of the evaluation position impact relation under a preset coordinate system based on the center evaluation position, the impact vector and the first interaction degree to obtain a standard coordinate unification result;
constructing an evaluation value matrix of three dimensions based on the standard coordinate unified result and all initial evaluation values, determining second interaction degrees between each field evaluation position and the center evaluation position which are remained except the center evaluation position based on the evaluation position influence relation list, and constructing an influence evolution matrix of three dimensions based on the standard coordinate unified result and all second interaction degrees;
determining the iteration number n, multiplying the evaluation value matrix and the influence evolution matrix for n times, then opening the multiplication by n times to obtain a final evaluation evolution matrix, taking the position lower than an evaluation threshold value in the final evaluation evolution matrix with three dimensions as a required fortification position corresponding to the disaster type, and determining required fortification plan information based on the numerical value of the required fortification position in the corresponding final evaluation evolution matrix, the difference value of the evaluation threshold value and the type of the required fortification position.
Preferably, the method for analyzing disaster fortification capability of non-coal mine comprises the following steps of: carrying out time sequence integration on the related information of sub-disaster fortification to obtain disaster fortification time sequence information corresponding to disaster types, wherein the time sequence integration comprises the following steps:
determining a first defense stage corresponding to each piece of fortification information based on the fortification position and the corresponding disaster type of each piece of fortification information in the sub-disaster fortification related information and the sub-scene fortification information;
determining a second defense stage of each resource management information in the sub-emergency resource management information in the sub-disaster fortification related information based on the required fortification plan information;
and based on the first defense stage and the second defense stage, carrying out time sequence integration on each set of defense information and each resource management information in the sub-disaster set of defense related information to obtain disaster set time sequence information corresponding to the disaster type.
Preferably, the method for analyzing disaster fortification capability of non-coal mine comprises the following steps of: analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information to obtain disaster fortification capability evaluation values and fortification capability defect analysis results of corresponding disaster types, wherein the disaster fortification capability evaluation values and fortification capability defect analysis results comprise:
Analyzing the disaster fortification capacity of the non-coal mine based on the disaster fortification time sequence information, and generating a disaster fortification capacity analysis record thread corresponding to the disaster type;
determining disaster fortification ability evaluation values and fortification ability defect recording threads corresponding to disaster types based on the disaster fortification ability analysis recording threads;
and integrating and summarizing the fortification capability defect recording threads to obtain fortification capability defect analysis results corresponding to disaster types.
Preferably, the method for analyzing disaster fortification capability of a non-coal mine analyzes the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information, and generates a disaster fortification capability analysis record thread corresponding to the disaster type, including:
determining maximum disaster occurrence data of each disaster grade of the disaster type based on grade division rules corresponding to the disaster type, and determining disaster evolution rules of each disaster grade of the disaster type;
based on the maximum disaster occurrence data of the disaster class corresponding to the disaster class and the disaster evolution rule, performing disaster evolution simulation in the non-coal mine three-dimensional model, and recording a disaster evolution simulation thread for obtaining the disaster class corresponding to the disaster class;
Generating disaster evolution dynamic data of the disaster class corresponding to the disaster class based on the disaster evolution simulation thread;
aligning the non-coal mine three-dimensional model, disaster fortification time sequence information corresponding to disaster types and fortification evolution threads to obtain a first alignment thread corresponding to disaster grades of the disaster types;
determining corresponding fortification defect positions based on the first alignment thread, marking the fortification defect positions on the non-coal mine three-dimensional model to obtain a non-coal mine defect marking model, analyzing the non-coal mine defect marking model, and determining fortification defect coefficients;
determining a risk coefficient of each evolution time point in the first alignment thread based on the fortification defect coefficient, and dividing the first alignment thread based on the risk coefficient and a preset risk coefficient gradient to obtain a sub-alignment evolution thread sequence;
determining a first defense evaluation value evolution curve of a first sub-aligned evolution thread based on partial defense evolution threads and the maximum disaster occurrence data in the first sub-aligned evolution thread in the sub-aligned evolution thread sequence, generating a corresponding first disaster attack value evolution curve based on partial disaster evolution dynamic data in the first sub-aligned evolution thread, aligning the first defense evaluation value evolution curve with the first attack value evolution curve to obtain a first aligned evolution curve, analyzing a sub-disaster fortification capability analysis record thread based on the first aligned evolution curve, and determining a fortification evolution damage coefficient based on the sub-disaster fortification capability analysis record thread;
Determining a second defense evaluation value evolution curve of a second sub-alignment evolution thread based on part of the fortification evolution threads and the fortification evolution damage coefficients in the second sub-alignment evolution thread sequence, obtaining a second alignment evolution curve based on the second defense evaluation value evolution curve and a corresponding second attack value evolution curve, and analyzing a new sub-disaster fortification capacity analysis record thread based on the second alignment evolution curve until all sub-disaster fortification capacity analysis record threads are connected to generate disaster fortification capacity analysis record threads corresponding to disaster types after traversing the sub-alignment evolution thread sequence.
Preferably, the method for analyzing disaster fortification capability of non-coal mine comprises the following steps of: analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information, and after obtaining disaster fortification capability evaluation values and fortification capability defect analysis results of corresponding disaster types, further comprising:
acquiring real-time field information of the non-coal mine mountain, and predicting the possible occurrence of the target disaster type and disaster related information based on the real-time field information;
Judging whether real-time remediation is needed or not based on the disaster related information and the disaster fortification ability evaluation value of the target disaster type, if yes, generating a corresponding real-time remediation scheme based on fortification ability defect analysis results of the corresponding disaster type, otherwise, reserving a corresponding judgment result.
Preferably, the method for analyzing disaster fortification capability of a non-coal mine, based on the disaster related information and the disaster fortification capability evaluation value of the target disaster type, determines whether real-time remediation is required, includes:
determining the highest defensive level corresponding to the disaster fortification ability evaluation value of the target disaster type based on the highest defensive level list of the target disaster type;
and determining a predicted disaster level based on the disaster related information, judging whether the highest defensive level is not lower than the predicted disaster level, if so, judging that real-time remediation is not needed, otherwise, judging that remediation is needed.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of an analysis method for disaster fortification capability of a non-coal mine according to an embodiment of the invention;
FIG. 2 is a flow chart of another method for analyzing disaster fortification capability of a non-coal mine according to an embodiment of the present invention;
FIG. 3 is a flow chart of another method for analyzing disaster fortification capability of a non-coal mine according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1:
the invention provides an analysis method for disaster fortification capability of a non-coal mine, which comprises the following steps of:
s1: acquiring disaster fortification related information of non-coal mine mountain;
s2: dividing and integrating the disaster fortification related information into time sequences based on disaster types to obtain disaster fortification time sequence information corresponding to the disaster types;
S3: and analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information to obtain disaster fortification capability evaluation values and fortification capability defect analysis results of corresponding disaster types.
In this embodiment, the disaster fortification related information includes: basic information and site fortification information of non-coal mines and emergency resource management information.
In this embodiment, the disaster type is, for example: earthquake, flood, etc.
In this embodiment, the dividing the disaster fortification related information is to divide the disaster fortification related information according to disaster types to obtain sub-disaster fortification related information corresponding to each disaster type.
In this embodiment, the disaster fortification time sequence information is information of disaster fortification time sequence change corresponding to the disaster type obtained after dividing and time sequence integrating the related information of disaster fortification.
In this embodiment, the disaster fortification ability evaluation value is an evaluation value for evaluating the fortification ability of a non-coal mine against a corresponding disaster type, which is obtained by analyzing the disaster fortification ability of a non-coal mine based on the disaster fortification time sequence information.
In the embodiment, the fortification capability defect analysis result is a defect analysis result for evaluating the fortification capability of the non-coal mine to the corresponding disaster type, which is obtained after the disaster fortification capability of the non-coal mine is analyzed based on the disaster fortification time sequence information.
The beneficial effects of the technology are as follows: the disaster fortification capability related information obtained according to the multiple indexes is integrated according to the defending stage of playing a defending role when the disaster occurs, so that disaster fortification time sequence information is obtained, and comprehensive and accurate evaluation of disaster fortification capability of non-coal mines is realized from the multiple indexes based on the disaster fortification time sequence information, so that the obtained analysis result of the disaster fortification capability can intuitively see the comprehensive result of the disaster fortification capability and the analysis result of disaster fortification defects.
Example 2:
based on the embodiment 1, the method for analyzing disaster fortification ability of non-coal mine comprises the following steps of: acquiring disaster fortification related information of a non-coal mine mountain, referring to fig. 2, includes:
s101: acquiring basic information and site fortification information of the non-coal mine site;
s102: the emergency resource management information of the non-coal mine is adjusted and taken out from an emergency resource management library;
s103: and summarizing the basic information, the site fortification information and the emergency resource management information to obtain disaster fortification related information of the non-coal mine.
In this embodiment, the basic information is the position information and the three-dimensional structure information of the non-coal mine.
In this embodiment, the site fortification information is fortification information of a non-coal mine site, for example: and a vibration-proof reinforcing device at a place other than the coal mine.
In this embodiment, the emergency resource management library is an information library for storing emergency resource management information of a non-coal mine.
In this embodiment, the emergency resource management information is related information of an emergency resource which is called in the emergency resource management library and can be scheduled when a disaster occurs in a non-coal mine.
The beneficial effects of the technology are as follows: the information related to the disaster fortification capability of the non-coal mine is obtained from multiple dimensions by obtaining the basic information, the site fortification information and the emergency resource management information of the non-coal mine, and a basis is provided for the follow-up realization of comprehensive and accurate evaluation of the disaster fortification capability of the non-coal mine from multiple indexes.
Example 3:
based on the embodiment 2, the method for analyzing disaster fortification ability of non-coal mine is as follows, and S2: dividing and timing integrating the disaster fortification related information based on disaster types to obtain disaster fortification timing information corresponding to the disaster types, referring to fig. 3, including:
s201: dividing sub-disaster fortification related information corresponding to the disaster category in the disaster fortification related information based on basic information in the disaster fortification related information and the disaster category;
S202: and carrying out time sequence integration on the related information of the sub disaster fortification to obtain disaster fortification time sequence information corresponding to the disaster type.
In this embodiment, the sub-disaster fortification related information is based on basic information and disaster types in the disaster fortification related information, and the disaster fortification related information is divided into partial disaster fortification related information corresponding to the disaster types.
The beneficial effects of the technology are as follows: the related information of disaster fortification is divided based on disaster types and then time sequence integration is carried out, so that a foundation is provided for analyzing disaster fortification capability of non-coal mines aiming at different disaster types.
Example 4:
on the basis of the embodiment 3, the method for analyzing disaster fortification ability of a non-coal mine is as follows, and S201: dividing sub-disaster fortification related information corresponding to the disaster category in the disaster fortification related information based on basic information in the disaster fortification related information and the disaster category, wherein the sub-disaster fortification related information comprises:
constructing a non-coal mine three-dimensional model of the non-coal mine based on basic information in the disaster fortification related information;
based on the disaster types, determining required fortification positions and required fortification plan information corresponding to the disaster types in the non-coal mine three-dimensional model;
Dividing sub-site fortification information corresponding to disaster types in the site fortification information in the disaster fortification related information based on the required fortification position and the required fortification plan information;
dividing sub-emergency resource management information corresponding to disaster types in the emergency resource management information in the disaster fortification related information based on the fortification planning information;
and regarding the sub-site fortification information and the sub-emergency resource management information as sub-disaster fortification related information corresponding to the disaster type.
In the embodiment, the non-coal mine three-dimensional model is a non-coal mine three-dimensional structure model built based on basic information in disaster fortification related information.
In the embodiment, the position to be fortified is the position determined based on the disaster type and to be fortified in the non-coal mine three-dimensional model.
In this embodiment, the required fortification plan information is information related to a specific plan that needs fortification at the required fortification position, for example, rules of a required reinforcing device or specifications of a rainwater drainage channel, or emergency resources that can be scheduled at the time.
In this embodiment, the sub site fortification information is part of site fortification information of the corresponding disaster category divided in the site fortification information in the disaster fortification related information based on the required fortification position and the required fortification plan information.
In this embodiment, the sub-emergency resource management information is part of emergency resource management information corresponding to disaster types divided in the emergency resource management information in the disaster fortification related information based on fortification plan information.
The beneficial effects of the technology are as follows: the method comprises the steps of constructing a non-coal mine three-dimensional structure based on basic information in disaster fortification related information, providing a basis for accurately determining required fortification positions and required fortification plan information corresponding to disaster types in the follow-up, accurately determining the required fortification positions and the required fortification plan information corresponding to the disaster types based on the non-coal mine three-dimensional result, and accurately dividing sub disaster fortification related information corresponding to the disaster types from on-site fortification information and emergency resource management information of the disaster fortification related information based on the required fortification positions and the required fortification plan information.
Example 5:
based on embodiment 4, the method for analyzing disaster fortification capability of a non-coal mine, based on the disaster type, determines a required fortification position and required fortification plan information corresponding to the disaster type in the non-coal mine three-dimensional model, including:
Determining a field evaluation data type based on the disaster type, and identifying evaluation positions of the non-coal mine three-dimensional model based on an evaluation position list of the field evaluation data type to determine a plurality of field evaluation positions;
based on the evaluation rule of each evaluation position, initially evaluating the defending capability of the corresponding site evaluation position to the disaster corresponding to the disaster type to obtain an initial evaluation value;
marking the on-site evaluation positions in the non-coal mine three-dimensional model, determining an evaluation marking model, and determining evaluation influence relations among all on-site evaluation positions in the non-coal mine three-dimensional model based on an evaluation position influence relation list;
constructing an evaluation position influence relation three-dimensional network based on the distribution positions of the on-site evaluation positions in the non-coal mine three-dimensional model and all evaluation influence relations;
determining the interval distance between every two field evaluation positions based on the distribution positions, and determining the comprehensive influence degree of each field evaluation position based on the interval distance and the corresponding evaluation influence relation;
taking a field evaluation position corresponding to the maximum comprehensive influence degree as a central evaluation position, taking the central evaluation position as a starting point, and taking a field evaluation position adjacent to the central evaluation position as an end point to construct an influence pointing vector of the central evaluation position;
When the center evaluation position has only one influence pointing vector, unifying the three-dimensional network of the influence relation of the evaluation position under a preset coordinate system based on the center evaluation position and the influence pointing vector to obtain a standard coordinate unification result;
when the center evaluation position affects more than one pointing vector, determining a first interaction degree of a field evaluation position corresponding to the end point of each pointing vector and the center evaluation position based on the evaluation position impact relation list, and unifying the three-dimensional network of the evaluation position impact relation under a preset coordinate system based on the center evaluation position, the impact vector and the first interaction degree to obtain a standard coordinate unification result;
constructing an evaluation value matrix of three dimensions based on the standard coordinate unified result and all initial evaluation values, determining second interaction degrees between each field evaluation position and the center evaluation position which are remained except the center evaluation position based on the evaluation position influence relation list, and constructing an influence evolution matrix of three dimensions based on the standard coordinate unified result and all second interaction degrees;
Determining the iteration number n, multiplying the evaluation value matrix and the influence evolution matrix for n times, then opening the multiplication by n times to obtain a final evaluation evolution matrix, taking the position lower than an evaluation threshold value in the final evaluation evolution matrix with three dimensions as a required fortification position corresponding to the disaster type, and determining required fortification plan information based on the numerical value of the required fortification position in the corresponding final evaluation evolution matrix, the difference value of the evaluation threshold value and the type of the required fortification position.
In this embodiment, the field evaluation data type is a data type to be evaluated on a non-coal mine field determined based on a disaster type, for example: when the disaster type is flood disaster, the corresponding field evaluation data type can be data related to a concave channel on the surface of the non-coal mine and data related to a ground concave channel.
In this embodiment, the evaluation location list is a list formed by a plurality of evaluation locations corresponding to the types of the field evaluation data, and the evaluation locations are, for example, concave channels on the surface of a non-coal mine or concave channels on the ground.
In this embodiment, the site evaluation position identifies a plurality of positions in the non-coal mine, at which the fortification ability evaluation is required, determined after the evaluation position identification is performed on the non-coal mine three-dimensional model based on the evaluation position list of the site evaluation data type.
In this embodiment, the evaluation rule is an evaluation rule corresponding to the evaluation location, for example: whether the inclination of the concave channel on the surface of the non-coal mine is larger than an inclination threshold value, whether the depth is larger than a depth threshold value, and the like.
In this embodiment, the initial evaluation score is a score obtained after initial evaluation of the defensive ability of the corresponding site evaluation location to the disaster corresponding to the disaster category based on the evaluation rule of each evaluation location.
In this embodiment, the evaluation mark model is a new three-dimensional model obtained by marking the site evaluation position in a non-coal mine three-dimensional model.
In this embodiment, the evaluation location influence relationship list is a list including evaluation influence relationships between different evaluation locations.
In the embodiment, the evaluation influence relationship is a relationship having influence on the fortification ability evaluation result between different field evaluation positions in the non-coal mine three-dimensional model, for example, the evaluation influence relationship of the defense evaluation result of the ground depression channel by the depression channel on the non-coal mine surface.
In the embodiment, the three-dimensional network for evaluating the position influence relationship is a three-dimensional network structure for representing the mutual influence relationship among evaluation positions, which is constructed based on the distribution positions of the site evaluation positions in the non-coal mine three-dimensional model and all evaluation influence relationships.
In this embodiment, determining the comprehensive influence degree of each field evaluation location based on the separation distance and the corresponding evaluation influence relation includes:
Figure BDA0003767221390000141
wherein delta is the comprehensive influence degree of the currently calculated field evaluation position, j is the j-th field evaluation position with evaluation influence relation with the currently calculated field evaluation position, m is the total number of field evaluation positions with evaluation influence relation with the currently calculated field evaluation position, and x is the total number of field evaluation positions with evaluation influence relation with the currently calculated field evaluation position j For the distance of separation, delta, between the j-th field evaluation position and the current calculated field evaluation position, which have an evaluation influence relationship with the current calculated field evaluation position j The j-th field evaluation position having an evaluation influence relation to the currently calculated field evaluation position and the currently calculated field evaluationThe evaluation influence degree corresponding to the evaluation influence relation between the positions;
for example, m is 3, x 1 Is 1, x 2 Is 2, x 3 Is 3 delta 1 0.1, delta 2 0.2, delta 3 0.3, delta is 0.13.
In this embodiment, the central evaluation location is the field evaluation location corresponding to the greatest degree of comprehensive influence.
In this embodiment, the impact vector is a vector constructed by taking the central evaluation position as a starting point and taking the field evaluation position adjacent to the central evaluation position as an end point.
In this embodiment, when the center evaluation position has only one influence pointing vector, based on the center evaluation position and the influence pointing vector, the three-dimensional network of the influence relationship of the evaluation position is unified under a preset coordinate system, and a unified result of standard coordinates is obtained, which is:
and coinciding the central evaluation position with the origin of a preset coordinate system, and coinciding the direction corresponding to the unique influence pointing vector with the positive direction of the abscissa axis to obtain a standard coordinate unification result.
In this embodiment, the first degree of interaction is a degree of interaction between the field evaluation position and the center evaluation position corresponding to the end point of each pointing vector determined based on the evaluation position influence relationship list.
In this embodiment, based on the center evaluation position, the influence pointing vector, and the first interaction degree, the three-dimensional network of the evaluation position influence relationship is unified under a preset coordinate system, and a standard coordinate unified result is obtained, which is:
and coinciding the central evaluation position with the origin of a preset coordinate system, and coinciding the direction corresponding to the influence pointing vector corresponding to the maximum first mutual influence degree with the positive direction of the abscissa axis to obtain a standard coordinate unification result.
In this embodiment, the standard coordinate unifying result is a result obtained by unifying the three-dimensional network of the evaluation position influence relationship under a preset coordinate system based on the center evaluation position, the influence pointing vector and the first mutual influence degree.
In this embodiment, based on the standard coordinate unified result and all the initial evaluation values, an evaluation value matrix of three dimensions is constructed, including:
and looking at a standard coordinate unified result in the x-axis dimension, obtaining an evaluation position plane graph, determining the evaluation value matrix capacity of the corresponding dimension based on all the transverse evaluation position capacities and all the longitudinal evaluation position capacities in the evaluation position plane graph, constructing a null matrix (namely, the numerical value in the matrix is 0, the number of rows and the number of columns of the matrix are equal to the evaluation value matrix capacity) based on the evaluation value matrix capacity, and taking the initial evaluation value of the corresponding evaluation position in the evaluation position plane graph as the numerical value of the corresponding position in the null matrix to obtain the evaluation value matrix of the corresponding dimension.
In this embodiment, the second degree of interaction is the degree of interaction between each of the field evaluation positions remaining except the center evaluation position determined by the evaluation position influence relationship list and the center evaluation position
In this embodiment, based on the standard coordinate unified result and all second interaction degrees, an influence evolution matrix of three dimensions is constructed, including:
and looking at a standard coordinate unified result in the x-axis dimension, obtaining an evaluation position plane graph, determining the evaluation value matrix capacity of the corresponding dimension based on all the transverse evaluation position capacities and all the longitudinal evaluation position capacities in the evaluation position plane graph, constructing a null matrix (namely, the numerical value in the matrix is 0, the number of rows and the number of columns of the matrix are equal to the evaluation value matrix capacity) based on the evaluation value matrix capacity, and taking the second related influence degree of the corresponding evaluation position in the evaluation position plane graph as the numerical value of the corresponding position in the null matrix to obtain an influence evolution matrix of the corresponding dimension.
In this embodiment, the number of iterations n is determined according to a preset setting, and is related to a preset disaster evolution time.
In this embodiment, the final evaluation evolution matrix is a matrix obtained by multiplying the evaluation value matrix and the influence evolution matrix n times and then opening the square n times.
In this embodiment, the required fortification position is the position below the evaluation threshold in the final evaluation evolution matrix of three dimensions.
In this embodiment, the evaluation threshold is the maximum value of the corresponding position in the final evaluation evolution matrix when the corresponding evaluation position is determined to be the desired fortification position.
In this embodiment, the required fortification plan information is determined based on the difference between the numerical value of the required fortification position in the corresponding final evaluation evolution matrix and the evaluation threshold value, and the type of the required fortification position, which is:
and determining corresponding fortification plan remedying information based on a difference value list corresponding to the type of the required fortification position, and taking the fortification plan remedying information as the corresponding required fortification plan information.
The beneficial effects of the technology are as follows: a plurality of site evaluation positions are determined in a non-coal mine three-dimensional model based on disaster types, a preliminary screening basis is provided for subsequent determination of required fortification positions and required fortification plan information, an evaluation position influence relation three-dimensional network is constructed based on the determined site evaluation positions and evaluation position influence relation lists, the comprehensive influence degree of each site evaluation position is determined based on the site evaluation positions and the evaluation position influence relation lists, a center evaluation position is determined based on the comprehensive influence degree, the three-dimensional network of the evaluation position influence relation is unified under a preset coordinate system based on the influence pointing vector of the center evaluation position, the evolution dimension of a subsequent fortification process is laid, the accuracy of the required fortification positions determined subsequently is ensured, the influence matrix capable of characterizing the local influence of the non-coal mine on the initial state and the influence of different evaluation positions on the disaster evolution in the process is determined based on the initial evaluation value and the second mutual influence degree between each site evaluation position and the center evaluation position, the final defense capability is further determined based on the standard coordinate unified result and the result of the corresponding evaluation rule, and the final defense capability is further determined when the situation of the point is not influenced by the corresponding to the final defense position is considered.
Example 6:
based on the embodiment 4, the method for analyzing disaster fortification ability of non-coal mine, S202: carrying out time sequence integration on the related information of sub-disaster fortification to obtain disaster fortification time sequence information corresponding to disaster types, wherein the time sequence integration comprises the following steps:
determining a first defense stage corresponding to each piece of fortification information based on the fortification position and the corresponding disaster type of each piece of fortification information in the sub-disaster fortification related information and the sub-scene fortification information;
determining a second defense stage of each resource management information in the sub-emergency resource management information in the sub-disaster fortification related information based on the required fortification plan information;
and based on the first defense stage and the second defense stage, carrying out time sequence integration on each set of defense information and each resource management information in the sub-disaster set of defense related information to obtain disaster set time sequence information corresponding to the disaster type.
In this embodiment, the fortification information is unit fortification information contained in the sub-site fortification information.
In this embodiment, the fortification position is the fortification position in the corresponding fortification information.
In this embodiment, the first defending stage is a defending stage of the corresponding defending device in the corresponding defending information for disasters when the corresponding disaster type occurs in the determined non-coal mine based on the defending position of the corresponding defending information and the corresponding disaster type.
In this embodiment, the second defending stage is a defending stage of the disaster by the emergency resource in the corresponding resource management information when the determined non-coal mine is in the corresponding disaster type based on the corresponding resource management information and the corresponding disaster type.
In this embodiment, the resource management information is unit emergency resource management information included in the sub-emergency resource management information.
The beneficial effects of the technology are as follows: through the determined first defense stage of each defense information and the determined second defense stage of each resource management information in the sub-site defense information, after the time sequence integration of all the defense information and all the resource management information in the sub-disaster defense related information, not only the defense function exertion stage of the defense information and the resource management information is determined, but also the time sequence integration of the disaster defense related information is realized, and a foundation is provided for the subsequent analysis of the disaster defense capability of the non-coal mine aiming at different disaster types.
Example 7:
based on the embodiment 1, the method for analyzing disaster fortification ability of non-coal mine is as follows, and S3: analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information to obtain disaster fortification capability evaluation values and fortification capability defect analysis results of corresponding disaster types, wherein the disaster fortification capability evaluation values and fortification capability defect analysis results comprise:
Analyzing the disaster fortification capacity of the non-coal mine based on the disaster fortification time sequence information, and generating a disaster fortification capacity analysis record thread corresponding to the disaster type;
determining disaster fortification ability evaluation values and fortification ability defect recording threads corresponding to disaster types based on the disaster fortification ability analysis recording threads;
and integrating and summarizing the fortification capability defect recording threads to obtain fortification capability defect analysis results corresponding to disaster types.
In the embodiment, the disaster fortification capability analysis recording thread is a thread for recording the evolution process of the disaster fortification capability analysis result, which is generated after analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information, and corresponds to the disaster type.
In this embodiment, the fortification ability defect recording thread is a recording thread of fortification ability defects corresponding to disaster types determined based on the disaster fortification ability analysis recording thread.
The beneficial effects of the technology are as follows: the disaster fortification time sequence information is used for analyzing the disaster fortification capacity of the non-coal mine to generate a disaster fortification capacity analysis record thread corresponding to the disaster type, and the disaster fortification capacity evaluation value and the fortification capacity defect analysis result corresponding to the disaster type are determined based on the disaster fortification time sequence information, so that the disaster fortification capacity corresponding to the disaster type is evaluated based on the disaster fortification time sequence information, the fortification defect in the existing fortification is determined, and the reference information is provided for the follow-up perfect disaster fortification.
Example 8:
on the basis of embodiment 4, the method for analyzing disaster fortification capability of a non-coal mine, based on the disaster fortification time sequence information, analyzes the disaster fortification capability of the non-coal mine, and generates a disaster fortification capability analysis record thread corresponding to the disaster type, includes:
determining maximum disaster occurrence data of each disaster grade of the disaster type based on grade division rules corresponding to the disaster type, and determining disaster evolution rules of each disaster grade of the disaster type;
based on the maximum disaster occurrence data of the disaster class corresponding to the disaster class and the disaster evolution rule, performing disaster evolution simulation in the non-coal mine three-dimensional model, and recording a disaster evolution simulation thread for obtaining the disaster class corresponding to the disaster class;
generating disaster evolution dynamic data of the disaster class corresponding to the disaster class based on the disaster evolution simulation thread;
aligning the non-coal mine three-dimensional model, disaster fortification time sequence information corresponding to disaster types and fortification evolution threads to obtain a first alignment thread corresponding to disaster grades of the disaster types;
Determining corresponding fortification defect positions based on the first alignment thread, marking the fortification defect positions on the non-coal mine three-dimensional model to obtain a non-coal mine defect marking model, analyzing the non-coal mine defect marking model, and determining fortification defect coefficients;
determining a risk coefficient of each evolution time point in the first alignment thread based on the fortification defect coefficient, and dividing the first alignment thread based on the risk coefficient and a preset risk coefficient gradient to obtain a sub-alignment evolution thread sequence;
determining a first defense evaluation value evolution curve of a first sub-aligned evolution thread based on partial defense evolution threads and the maximum disaster occurrence data in the first sub-aligned evolution thread in the sub-aligned evolution thread sequence, generating a corresponding first disaster attack value evolution curve based on partial disaster evolution dynamic data in the first sub-aligned evolution thread, aligning the first defense evaluation value evolution curve with the first attack value evolution curve to obtain a first aligned evolution curve, analyzing a sub-disaster fortification capability analysis record thread based on the first aligned evolution curve, and determining a fortification evolution damage coefficient based on the sub-disaster fortification capability analysis record thread;
Determining a second defense evaluation value evolution curve of a second sub-alignment evolution thread based on part of the fortification evolution threads and the fortification evolution damage coefficients in the second sub-alignment evolution thread sequence, obtaining a second alignment evolution curve based on the second defense evaluation value evolution curve and a corresponding second attack value evolution curve, and analyzing a new sub-disaster fortification capacity analysis record thread based on the second alignment evolution curve until all sub-disaster fortification capacity analysis record threads are connected to generate disaster fortification capacity analysis record threads corresponding to disaster types after traversing the sub-alignment evolution thread sequence.
In this embodiment, the grading rule is a rule for grading disasters.
In this embodiment, the maximum disaster occurrence data is the maximum disaster data that can occur corresponding to the disaster level, for example: for example, when the flood discharge amount is less than one hundred thousand cubic meters, the flood is three-level flood, and the maximum disaster data corresponding to the three-level flood is one hundred thousand cubic meters.
In this embodiment, the disaster evolution rule is an evolution rule corresponding to the disaster type, for example, when the rainfall is 50mm, the evolution speed of the flood will be increased by one level per hour.
In the embodiment, the disaster evolution simulation thread is the maximum disaster occurrence data and the disaster evolution rule based on the disaster class corresponding to the disaster class, performs disaster evolution simulation in a non-coal mine three-dimensional model, and records the thread record obtained after the corresponding simulation process.
In this embodiment, the disaster evolution dynamic data is the dynamic data of the disaster evolution process of the disaster class corresponding to the disaster class extracted in the disaster evolution simulation thread in the non-coal mine.
In this embodiment, the first alignment thread is an alignment thread obtained after aligning the non-coal mine three-dimensional model and disaster fortification time sequence information corresponding to the disaster type.
In this embodiment, the second alignment thread is an alignment thread obtained after aligning the disaster evolution dynamic data and the fortification evolution thread.
In this embodiment, the position of the fortification defect is determined based on the second pair Ji Xiancheng to be the position where the fortification defect exists in the non-coal mine.
In this embodiment, the non-coal mine defect marking model is a model obtained by marking the position of the fortification defect on the non-coal mine three-dimensional model.
In the embodiment, the fortification defect coefficient is a coefficient representing the fortification defect degree based on analysis of a non-coal mine defect marking model.
In this embodiment, analyzing the non-coal mine defect marking model to determine the fortification defect coefficient includes:
and determining defect coefficients of the fortification defect positions based on the first alignment thread, and taking the average value of all the defect coefficients as the fortification defect coefficients.
In this embodiment, based on the fortification defect coefficient, a risk coefficient of each evolution time point in the first alignment thread is determined, which is:
fitting a corresponding disaster evolution curve based on the disaster evolution dynamic data, taking the slope of each evolution time point in the disaster evolution curve as a corresponding evolution coefficient, and taking the product of the evolution coefficient and the fortification defect coefficient as a dangerous coefficient of the corresponding evolution time point.
In this embodiment, the evolution time point is the time point in the first aligned thread.
In this embodiment, the preset risk factor gradient is a preset risk factor division gradient.
In this embodiment, the sub-aligned evolution thread sequence is a sequence formed by sub-aligned evolution threads obtained by dividing the first aligned thread based on a risk coefficient and a preset risk coefficient gradient.
In this embodiment, the sub-aligned evolution thread is a part of aligned evolution threads in the sequence of sub-aligned evolution threads,
In this embodiment, based on the partial fortification evolution thread and the maximum disaster occurrence data in the first sub-alignment evolution thread in the sub-alignment evolution thread sequence, a first defense evaluation value evolution curve of the first sub-alignment evolution thread is determined, that is:
and determining real-time defensive maximum disaster occurrence data based on partial fortification evolution threads in the first sub-alignment evolution threads, taking the ratio of the maximum disaster occurrence data to the defensive maximum disaster occurrence data as a first defensive evaluation value, and fitting a first defensive evaluation value evolution curve based on the first defensive evaluation value of each time point.
In this embodiment, the first defense evaluation value evolution curve is an evolution curve of a first defense evaluation value of a first sub-aligned evolution thread determined based on partial fortification evolution threads and maximum disaster occurrence data in the first sub-aligned evolution thread in the sub-aligned evolution thread sequence.
In this embodiment, a corresponding first disaster attack value evolution curve is generated based on the partial disaster evolution dynamic data in the first sub-aligned evolution thread, which is:
and determining a first disaster attack value evolution curve based on part of disaster evolution dynamic data in the first sub-alignment evolution thread and a preset conversion coefficient (namely, the conversion coefficient between the characterization disaster data and the disaster attack value).
In this embodiment, the first disaster attack value evolution curve is an evolution curve representing a disaster attack value generated based on part of disaster evolution dynamic data in the first sub-aligned evolution thread.
In this embodiment, the first alignment evolution curve is a curve obtained by aligning the first defense evaluation value evolution curve and the first attack value evolution curve.
In this embodiment, analyzing the sub-disaster fortification capability analysis recording thread based on the first aligned evolution curve includes:
and when the first defense evaluation value of the corresponding time point in the first alignment evolution curve is not lower than the first attack value, indicating that the fortification capability is qualified, otherwise, indicating that the fortification capability is not qualified, fitting a judgment result of whether the fortification capability of the corresponding time point is qualified into a record thread, and obtaining a sub-disaster fortification capability analysis record thread.
In this embodiment, the fortification evolution damage coefficient is determined based on the sub-disaster fortification capability analysis recording thread, which is:
determining first time points with unqualified fortification capability in each fortification capability analysis and recording thread and endpoint time points of each fortification capability analysis and recording thread, forming a corresponding first time point sequence based on all the first time points, determining the sequence number of each first time point in the first time point sequence, and calculating fortification evolution damage coefficients based on the first time points, the corresponding sequence numbers and the endpoint time points:
Figure BDA0003767221390000221
Wherein h is a fortification evolution damage coefficient, n is the total number of first time points with unqualified fortification capability contained in the sub-disaster fortification capability analysis recording thread, i is the first time point with unqualified fortification capability currently calculated and contained in the sub-disaster fortification capability analysis recording thread, and T is the total number of first time points with unqualified fortification capability and the total number of the first time points with unqualified fortification capability are recorded in the sub-disaster fortification capability analysis recording thread 1i Analyzing and recording a first time point T at which the ith fortifying capacity contained in a thread is unqualified for sub-disaster fortifying capacity end Is the endpoint time point;
for example, n is 3, T end Is 5, T 11 Is 1, T 13 Is 3, T 13 If 5, h is 0.49.
Based on the formula, the coefficient for representing the fortification evolution damage degree of the corresponding sub-disaster fortification capability analysis record thread can be accurately calculated.
In this embodiment, the second defense evaluation value evolution curve is an evolution curve based on the defense evaluation value of the second sub-aligned evolution thread determined based on the partial defense evolution thread and the defense evolution damage coefficient in the second sub-aligned evolution thread in the sub-aligned evolution thread sequence.
In this embodiment, the second aligned evolution curve is an aligned evolution curve obtained after aligning the second defense evaluation value evolution curve and the corresponding second attack value evolution curve.
In this embodiment, the second defense evaluation value evolution curve is an evolution curve that generates a corresponding disaster attack value based on the partial disaster evolution dynamic data in the second sub-aligned evolution thread.
The beneficial effects of the technology are as follows: the disaster evolution simulation is carried out in the non-coal mine three-dimensional model based on the disaster types, the disaster grades and the corresponding disaster evolution rules, disaster evolution dynamic data of the disaster types corresponding to the disaster grades are obtained, the non-coal mine three-dimensional model is aligned with disaster fortification time sequence information of the corresponding disaster types and fortification evolution threads, alignment of fortification time sequence information and the disaster evolution process is achieved, a basis is provided for subsequent determination of dangerous coefficients of each evolution time point, division standards are provided for division of a second alignment thread, so that stage division of disaster fortification capacity in the evolution process is more accurate, further, analysis of disaster fortification capacity is guaranteed, recording threads accurately represent disaster fortification capacity analysis processes, fortification capacity of current sub-alignment threads is analyzed based on sub-alignment evolution thread sequences obtained after division, influence of disasters on fortification capacity of fortification devices in the evolution process is fully considered, and whether a result of a fortification curve can be evaluated by generating a corresponding defense value and an attack fortification value curve is accurately judged.
Example 9:
based on the embodiment 1, the method for analyzing disaster fortification ability of non-coal mine is as follows, and S3: analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information, and after obtaining disaster fortification capability evaluation values and fortification capability defect analysis results of corresponding disaster types, further comprising:
acquiring real-time field information of the non-coal mine mountain, and predicting the possible occurrence of the target disaster type and disaster related information based on the real-time field information;
judging whether real-time remediation is needed or not based on the disaster related information and the disaster fortification ability evaluation value of the target disaster type, if yes, generating a corresponding real-time remediation scheme based on fortification ability defect analysis results of the corresponding disaster type, otherwise, reserving a corresponding judgment result.
In this embodiment, the real-time field information is field information about a disaster of a non-coal mine acquired in real time, for example: rainfall, seismic grade, etc.
In this embodiment, the target disaster type is a disaster type predicted to occur based on real-time field information.
In this embodiment, the disaster-related information is predicted based on real-time field information and related to the type of disaster that may occur.
In this embodiment, the real-time remedying scheme is an arming remedying scheme generated based on the result of analyzing the arming capability defect of the corresponding disaster type when real-time remedying is determined to be needed based on the disaster related information and the disaster arming capability evaluation value of the target disaster type.
In this embodiment, the determination result is a result of determining whether real-time remediation is required based on disaster related information and a disaster fortification ability evaluation value of the target disaster type.
The beneficial effects of the technology are as follows: the method and the device realize the prediction of the type of the possible target disaster and the related information of the disaster based on the real-time field information of the non-coal mine, judge whether the real-time remedy is needed, realize the real-time judgment of the field fortification of the non-coal mine based on the real-time field information, and reduce the possible loss caused by the disaster.
Example 10:
based on embodiment 9, the method for analyzing disaster fortification capability of a non-coal mine, based on the disaster related information and the disaster fortification capability evaluation value of the target disaster type, determines whether real-time remediation is required, includes:
determining the highest defensive level corresponding to the disaster fortification ability evaluation value of the target disaster type based on the highest defensive level list of the target disaster type;
And determining a predicted disaster level based on the disaster related information, judging whether the highest defensive level is not lower than the predicted disaster level, if so, judging that real-time remediation is not needed, otherwise, judging that remediation is needed.
In this embodiment, the highest defensive level list is a list including a range of disaster fortification ability evaluation values corresponding to different defensive levels of the target disaster type.
In this embodiment, the highest defensive level is the highest defensive disaster level corresponding to the disaster fortification ability evaluation value of the target disaster type determined based on the highest defensive level list of the target disaster type.
In this embodiment, the predicted disaster level is a disaster level predicted to occur based on disaster-related information.
The beneficial effects of the technology are as follows: based on comparing the highest defendable grade corresponding to the disaster fortification ability evaluation value with the predicted disaster grade determined based on the disaster related information, whether the fortification plan of the non-coal mine needs to be remedied in real time can be judged, and the possible loss caused by the disaster is further reduced.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (7)

1. A method for analyzing disaster fortification ability of a non-coal mine, comprising:
s1: acquiring disaster fortification related information of non-coal mine mountain;
s2: dividing and integrating the disaster fortification related information into time sequences based on disaster types to obtain disaster fortification time sequence information corresponding to the disaster types;
s3: analyzing the disaster fortification capacity of the non-coal mine based on the disaster fortification time sequence information to obtain disaster fortification capacity evaluation values and fortification capacity defect analysis results of corresponding disaster types;
step S1: acquiring disaster fortification related information of a non-coal mine, comprising:
s101: acquiring basic information and site fortification information of the non-coal mine site;
s102: the emergency resource management information of the non-coal mine is adjusted and taken out from an emergency resource management library;
s103: summarizing the basic information, the site fortification information and the emergency resource management information to obtain disaster fortification related information of the non-coal mine;
step S3: analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information to obtain disaster fortification capability evaluation values and fortification capability defect analysis results of corresponding disaster types, wherein the disaster fortification capability evaluation values and fortification capability defect analysis results comprise:
Analyzing the disaster fortification capacity of the non-coal mine based on the disaster fortification time sequence information, and generating a disaster fortification capacity analysis record thread corresponding to the disaster type;
determining disaster fortification ability evaluation values and fortification ability defect recording threads corresponding to disaster types based on the disaster fortification ability analysis recording threads;
integrating and summarizing the fortification capability defect recording threads to obtain fortification capability defect analysis results corresponding to disaster types;
the disaster fortification capability analysis record thread corresponding to the disaster type is generated based on the disaster fortification time sequence information to analyze the disaster fortification capability of the non-coal mine, and the method comprises the following steps:
determining maximum disaster occurrence data of each disaster grade of the disaster type based on grade division rules corresponding to the disaster type, and determining disaster evolution rules of each disaster grade of the disaster type;
based on the maximum disaster occurrence data of the disaster class corresponding to the disaster class and the disaster evolution rule, performing disaster evolution simulation in the non-coal mine three-dimensional model, and recording a disaster evolution simulation thread for obtaining the disaster class corresponding to the disaster class;
Generating disaster evolution dynamic data of the disaster class corresponding to the disaster class based on the disaster evolution simulation thread;
aligning the non-coal mine three-dimensional model, disaster fortification time sequence information corresponding to disaster types and fortification evolution threads to obtain a first alignment thread corresponding to disaster grades of the disaster types;
determining corresponding fortification defect positions based on the first alignment thread, marking the fortification defect positions on the non-coal mine three-dimensional model to obtain a non-coal mine defect marking model, analyzing the non-coal mine defect marking model, and determining fortification defect coefficients;
determining a risk coefficient of each evolution time point in the first alignment thread based on the fortification defect coefficient, and dividing the first alignment thread based on the risk coefficient and a preset risk coefficient gradient to obtain a sub-alignment evolution thread sequence;
determining a first defense evaluation value evolution curve of a first sub-aligned evolution thread based on partial defense evolution threads and the maximum disaster occurrence data in the first sub-aligned evolution thread in the sub-aligned evolution thread sequence, generating a corresponding first disaster attack value evolution curve based on partial disaster evolution dynamic data in the first sub-aligned evolution thread, aligning the first defense evaluation value evolution curve with the first disaster attack value evolution curve to obtain a first aligned evolution curve, analyzing a sub-disaster defense capability analysis record thread based on the first aligned evolution curve, and determining a defense evolution damage coefficient based on the sub-disaster defense capability analysis record thread;
Determining a second defense evaluation value evolution curve of a second sub-alignment evolution thread based on part of the fortification evolution threads and the fortification evolution damage coefficients in the second sub-alignment evolution thread sequence, obtaining a second alignment evolution curve based on the second defense evaluation value evolution curve and a corresponding second attack value evolution curve, and analyzing a new sub-disaster fortification capacity analysis record thread based on the second alignment evolution curve until all sub-disaster fortification capacity analysis record threads are connected to generate disaster fortification capacity analysis record threads corresponding to disaster types after traversing the sub-alignment evolution thread sequence.
2. The method for analyzing disaster fortification ability of a non-coal mine according to claim 1, wherein S2: based on disaster types, dividing and timing integrating the disaster fortification related information to obtain disaster fortification timing information corresponding to the disaster types, wherein the method comprises the following steps:
s201: dividing sub-disaster fortification related information corresponding to the disaster category in the disaster fortification related information based on basic information in the disaster fortification related information and the disaster category;
S202: and carrying out time sequence integration on the related information of the sub disaster fortification to obtain disaster fortification time sequence information corresponding to the disaster type.
3. The method for analyzing disaster fortification ability of a non-coal mine according to claim 2, wherein S201: dividing sub-disaster fortification related information corresponding to the disaster category in the disaster fortification related information based on basic information in the disaster fortification related information and the disaster category, wherein the sub-disaster fortification related information comprises:
constructing a non-coal mine three-dimensional model of the non-coal mine based on basic information in the disaster fortification related information;
based on the disaster types, determining required fortification positions and required fortification plan information corresponding to the disaster types in the non-coal mine three-dimensional model;
dividing sub-site fortification information corresponding to disaster types in the site fortification information in the disaster fortification related information based on the required fortification position and the required fortification plan information;
dividing sub-emergency resource management information corresponding to disaster types in the emergency resource management information in the disaster fortification related information based on the fortification planning information;
And regarding the sub-site fortification information and the sub-emergency resource management information as sub-disaster fortification related information corresponding to the disaster type.
4. A method of analyzing disaster fortification ability for a non-coal mine according to claim 3, wherein determining a desired fortification position and desired fortification plan information corresponding to the disaster type in the non-coal mine three-dimensional model based on the disaster type comprises:
determining a field evaluation data type based on the disaster type, and identifying evaluation positions of the non-coal mine three-dimensional model based on an evaluation position list of the field evaluation data type to determine a plurality of field evaluation positions;
based on the evaluation rule of each evaluation position, initially evaluating the defending capability of the corresponding site evaluation position to the disaster corresponding to the disaster type to obtain an initial evaluation value;
marking the on-site evaluation positions in the non-coal mine three-dimensional model, determining an evaluation marking model, and determining evaluation influence relations among all on-site evaluation positions in the non-coal mine three-dimensional model based on an evaluation position influence relation list;
constructing an evaluation position influence relation three-dimensional network based on the distribution positions of the on-site evaluation positions in the non-coal mine three-dimensional model and all evaluation influence relations;
Determining the interval distance between every two field evaluation positions based on the distribution positions, and determining the comprehensive influence degree of each field evaluation position based on the interval distance and the corresponding evaluation influence relation;
taking a field evaluation position corresponding to the maximum comprehensive influence degree as a central evaluation position, taking the central evaluation position as a starting point, and taking a field evaluation position adjacent to the central evaluation position as an end point to construct an influence pointing vector of the central evaluation position;
when the center evaluation position has only one influence pointing vector, unifying the three-dimensional network of the influence relation of the evaluation position under a preset coordinate system based on the center evaluation position and the influence pointing vector to obtain a standard coordinate unification result;
when the center evaluation position affects more than one pointing vector, determining a first interaction degree of a field evaluation position corresponding to the end point of each pointing vector and the center evaluation position based on the evaluation position impact relation list, and unifying the three-dimensional network of the evaluation position impact relation under a preset coordinate system based on the center evaluation position, the impact vector and the first interaction degree to obtain a standard coordinate unification result;
Constructing an evaluation value matrix of three dimensions based on the standard coordinate unified result and all initial evaluation values, determining second interaction degrees between each field evaluation position and the center evaluation position which are remained except the center evaluation position based on the evaluation position influence relation list, and constructing an influence evolution matrix of three dimensions based on the standard coordinate unified result and all second interaction degrees;
determining the iteration number n, multiplying the evaluation value matrix and the influence evolution matrix for n times, then opening the multiplication by n times to obtain a final evaluation evolution matrix, taking the position lower than an evaluation threshold value in the final evaluation evolution matrix with three dimensions as a required fortification position corresponding to the disaster type, and determining required fortification plan information based on the numerical value of the required fortification position in the corresponding final evaluation evolution matrix, the difference value of the evaluation threshold value and the type of the required fortification position.
5. A method for analyzing disaster fortification ability of a non-coal mine as claimed in claim 3, wherein S202: carrying out time sequence integration on the related information of sub-disaster fortification to obtain disaster fortification time sequence information corresponding to disaster types, wherein the time sequence integration comprises the following steps:
Determining a first defense stage corresponding to each piece of fortification information based on the fortification position and the corresponding disaster type of each piece of fortification information in the sub-disaster fortification related information and the sub-scene fortification information;
determining a second defense stage of each resource management information in the sub-emergency resource management information in the sub-disaster fortification related information based on the required fortification plan information;
and based on the first defense stage and the second defense stage, carrying out time sequence integration on each set of defense information and each resource management information in the sub-disaster set of defense related information to obtain disaster set time sequence information corresponding to the disaster type.
6. The method for analyzing disaster fortification ability of a non-coal mine according to claim 1, wherein S3: analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information, and after obtaining disaster fortification capability evaluation values and fortification capability defect analysis results of corresponding disaster types, further comprising:
acquiring real-time field information of the non-coal mine mountain, and predicting the possible occurrence of the target disaster type and disaster related information based on the real-time field information;
judging whether real-time remediation is needed or not based on the disaster related information and the disaster fortification ability evaluation value of the target disaster type, if yes, generating a corresponding real-time remediation scheme based on fortification ability defect analysis results of the corresponding disaster type, otherwise, reserving a corresponding judgment result.
7. The method for analyzing disaster fortification ability of a non-coal mine according to claim 6, wherein determining whether real-time remediation is necessary based on the disaster related information and the disaster fortification ability evaluation value of the target disaster category comprises:
determining the highest defensive level corresponding to the disaster fortification ability evaluation value of the target disaster type based on the highest defensive level list of the target disaster type;
and determining a predicted disaster level based on the disaster related information, judging whether the highest defensive level is not lower than the predicted disaster level, if so, judging that real-time remediation is not needed, otherwise, judging that remediation is needed.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016082263A1 (en) * 2014-11-28 2016-06-02 东莞中国科学院云计算产业技术创新与育成中心 Plan-based multi-target assistant decision-making platform and implementation method thereof
CN107292478A (en) * 2016-04-13 2017-10-24 中国电力科学研究院 A kind of disaster influences the acquisition methods of situation on power distribution network
CN112926863A (en) * 2021-03-04 2021-06-08 国网安徽省电力有限公司电力科学研究院 Power grid disaster comprehensive monitoring system based on six early warning centers
CN114692410A (en) * 2022-03-28 2022-07-01 中国矿业大学 Mine dynamic disaster estimation method based on geostress field inversion numerical range analysis

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113128012B (en) * 2019-12-30 2024-08-09 富联精密电子(天津)有限公司 Disaster guarantee resource calculating method, device, computer device and storage medium

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016082263A1 (en) * 2014-11-28 2016-06-02 东莞中国科学院云计算产业技术创新与育成中心 Plan-based multi-target assistant decision-making platform and implementation method thereof
CN107292478A (en) * 2016-04-13 2017-10-24 中国电力科学研究院 A kind of disaster influences the acquisition methods of situation on power distribution network
CN112926863A (en) * 2021-03-04 2021-06-08 国网安徽省电力有限公司电力科学研究院 Power grid disaster comprehensive monitoring system based on six early warning centers
CN114692410A (en) * 2022-03-28 2022-07-01 中国矿业大学 Mine dynamic disaster estimation method based on geostress field inversion numerical range analysis

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