CN115456325A - 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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CN115456325A
CN115456325A CN202210895553.2A CN202210895553A CN115456325A CN 115456325 A CN115456325 A CN 115456325A CN 202210895553 A CN202210895553 A CN 202210895553A CN 115456325 A CN115456325 A CN 115456325A
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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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Shaoguan Shirenzhang Mining Co ltd
North China University of Technology
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Abstract

The invention provides an analysis method for disaster fortification capacity of non-coal mines, which comprises the following steps: s1: acquiring disaster fortification related information of a non-coal mine; s2: based on disaster types, dividing and integrating the disaster fortification related information in time sequence to obtain disaster fortification time sequence information corresponding to the disaster types; s3: analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information to obtain a disaster fortification capability evaluation value and a fortification capability defect analysis result corresponding to the disaster type; the disaster fortification capacity evaluation method is used for integrating disaster fortification capacity related information acquired according to a plurality of indexes according to the belonged defense stages to acquire disaster fortification time sequence information, and comprehensively and accurately evaluating the disaster fortification capacity from the plurality of indexes on the basis of the disaster fortification time sequence information, so that the comprehensive result of the disaster fortification capacity can be visually seen, and the analysis result of disaster fortification defect can also be visually 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 capacity of a non-coal mine.
Background
At present, the disaster prevention capacity reflects the capacity of an emergency management system for developing disaster prevention and reduction activities by utilizing engineering, economic and social resources, reducing the loss caused by disasters, particularly disasters to the maximum extent, reducing the vulnerability and improving the resilience, and comprises the capacity of reducing the risk before the disaster or preparing in advance to reduce the loss possibly caused by the disaster; when a disaster occurs, the disaster quickly reacts and is scientifically disposed, and the loss caused by the disaster is reduced to the minimum; after disaster, the medicine can be quickly rebuilt and can quickly restore the stability and prosperity before disaster. The purpose of disaster prevention capability analysis of the non-coal mine is to master the implementation situation of relevant measures adopted by the non-coal mine for being lower than natural disasters.
However, the analysis of disaster prevention capability in non-coal mines is mainly based on the following major categories of indicators: non-coal mine site basic information, site fortification information and emergency management information; however, since the sources of these information are different and the evaluation criteria and analysis methods during analysis are also different, it is difficult to accurately analyze the disaster prevention capability of the non-coal mine from the plurality of indexes by using a unified system or a coherent analysis method and to automatically integrate the results analyzed based on the plurality of indexes to obtain an analysis result that can visually recognize both the disaster prevention capability and the disaster prevention defect.
Therefore, the invention provides an analysis method for disaster fortification capability of non-coal mines.
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 with a defense effect 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 according to the plurality of indexes based on the disaster fortification time sequence information, so that the acquired analysis result of the disaster fortification capability can visually see the comprehensive result of the disaster fortification capability and can also visually see the analysis result of disaster fortification defect.
The invention provides an analysis method for disaster prevention capability of a non-coal mine, which comprises the following steps:
s1: acquiring disaster fortification related information of a non-coal mine;
s2: based on disaster types, dividing and integrating the disaster fortification related information in time sequence 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 a disaster fortification capability evaluation value and a fortification capability defect analysis result corresponding to the disaster type.
Preferably, the method for analyzing the disaster prevention capability of the 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 field fortification information of the non-coal mine field;
s102: calling out emergency resource management information of the non-coal mine from an emergency resource management library;
s103: and summarizing the basic information, the field fortification information and the emergency resource management information to obtain disaster fortification related information of the non-coal mine.
Preferably, the method for analyzing the disaster prevention capability of the non-coal mine comprises the following steps of S2: based on the disaster type, the disaster fortification related information is divided and time sequence integrated, so as to obtain disaster fortification time sequence information corresponding to the disaster type, and the method comprises the following steps:
s201: dividing sub-disaster setoff related information corresponding to the disaster type from the disaster setoff related information based on basic information in the disaster setoff related information and the disaster type;
s202: and performing time sequence integration on the sub-disaster defense related information to obtain disaster defense time sequence information corresponding to the disaster type.
Preferably, the method for analyzing the disaster prevention capability of the non-coal mine comprises the following steps of S201: based on the basic information in the disaster setoff related information and the disaster type, dividing sub-disaster setoff related information corresponding to the disaster type in the disaster setoff related information, including:
building a non-coal mine three-dimensional model of the non-coal mine based on basic information in the disaster fortification related information;
determining a required fortification position and required fortification plan information corresponding to the disaster type in the non-coal mine three-dimensional model based on the disaster type;
dividing sub-site fortification information corresponding to the disaster type from the site fortification information in the disaster fortification related information based on the position required to fortify and the plan information required to fortify;
dividing sub emergency resource management information corresponding to the disaster type from emergency resource management information in the disaster fortification related information based on the fortification plan information;
and taking the sub-site defense setting information and the sub-emergency resource management information as the sub-disaster defense setting related information corresponding to the disaster type.
Preferably, the method for analyzing the disaster prevention capability of the non-coal mine is used for determining a required prevention position and required prevention plan information corresponding to the disaster type in the non-coal mine three-dimensional model based on the disaster type, and includes:
determining the type of on-site evaluation data based on the disaster type, and identifying the evaluation position of the non-coal mine three-dimensional model based on an evaluation position list of the type of on-site evaluation data to determine a plurality of on-site evaluation positions;
based on the evaluation rule of each evaluation position, initially evaluating the defense capacity of the corresponding site evaluation position to the disaster of the corresponding disaster type to obtain an initial evaluation score;
marking the site evaluation position in the non-coal mine three-dimensional model, determining an evaluation marking model, and determining evaluation influence relations among all 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 spacing 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 spacing 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 a terminal point, and constructing an influence pointing vector of the central evaluation position;
when the center evaluation position has only one influence pointing vector, unifying the evaluation position influence relation three-dimensional network 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 has more than one influence orientation vector, determining a field evaluation position corresponding to the end point of each orientation vector and a first mutual influence degree of the center evaluation position based on the evaluation position influence relation list, and unifying the evaluation position influence relation three-dimensional network under a preset coordinate system based on the center evaluation position, the influence orientation vector and the first mutual influence degree to obtain a standard coordinate unification result;
establishing an evaluation value matrix of three dimensions based on the standard coordinate unified result and all initial evaluation values, determining a second mutual influence degree between each remaining field evaluation position except the central evaluation position and the central evaluation position based on the evaluation position influence relation list, and establishing an influence evolution matrix of three dimensions based on the standard coordinate unified result and all second mutual influence degrees;
determining iteration times n, multiplying the evaluation value matrix and the influence evolution matrix for n times, and then opening the matrix for n times to obtain a final evaluation evolution matrix, taking a 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 a value of the required fortification position in the corresponding final evaluation evolution matrix, a difference value of the evaluation threshold value and the type of the required fortification position.
Preferably, the method for analyzing the disaster prevention capability of the non-coal mine comprises the following steps of S202: performing time sequence integration on the sub-disaster defense related information to obtain disaster defense time sequence information corresponding to the disaster type, including:
determining a first defense stage corresponding to each fortification information based on the fortification position and the corresponding disaster type of each fortification information in the sub-disaster fortification related information sub-field 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 performing time sequence integration on each defense information and each resource management information in the sub-disaster defense related information based on the first defense stage and the second defense stage to obtain disaster defense time sequence information corresponding to the disaster type.
Preferably, the method for analyzing the disaster prevention capability of the non-coal mine comprises the following steps of S3: analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information to obtain a disaster fortification capability evaluation value and a fortification capability defect analysis result corresponding to the disaster type, wherein the method comprises the following steps of:
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 recording thread corresponding to the disaster type;
analyzing and recording the thread based on the disaster fortifying capacity, and determining a disaster fortifying capacity evaluation value and a fortifying capacity defect recording thread corresponding to the disaster type;
and integrating and summarizing the fortification capacity defect recording threads to obtain a fortification capacity defect analysis result corresponding to the disaster type.
Preferably, the method for analyzing the disaster prevention capability of the non-coal mine based on the disaster prevention time sequence information analyzes the disaster prevention capability of the non-coal mine to generate a disaster prevention capability analysis recording thread corresponding to a disaster type, includes:
determining maximum disaster occurrence data of each disaster grade of the disaster kinds based on grade division rules corresponding to the disaster kinds, and determining disaster evolution rules of each disaster grade of the disaster kinds;
performing disaster evolution simulation in the non-coal mine three-dimensional model based on the maximum disaster occurrence data of the disaster type corresponding to the disaster grade and the disaster evolution rule, and recording and obtaining a disaster evolution simulation thread of the disaster type corresponding to the disaster grade;
generating disaster evolution dynamic data of the disaster type corresponding to the disaster grade based on the disaster evolution simulation thread;
aligning the non-coal mine three-dimensional model with disaster fortification time sequence information corresponding to a disaster type and the fortification evolution thread to obtain a first alignment thread corresponding to the disaster grade of the disaster type;
determining a corresponding fortification defect position based on the first alignment thread, marking the fortification defect position 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 a fortification defect coefficient;
determining a danger coefficient of each evolution time point in the first alignment thread based on the fortification defect coefficient, and dividing the first pair Ji Xiancheng based on the danger coefficient and a preset danger coefficient gradient to obtain a sub-alignment evolution thread sequence;
determining a first defense evaluation value evolution curve of a first sub-alignment evolution thread based on a part of defense evolution threads in the first sub-alignment evolution thread in the sub-alignment evolution thread sequence and the maximum disaster occurrence data, generating a corresponding first disaster attack value evolution curve based on part of disaster evolution dynamic data in the first sub-alignment evolution thread, aligning the first defense evaluation value evolution curve with the first attack value evolution curve to obtain a first alignment evolution curve, analyzing a sub-disaster defense capacity analysis recording thread based on the first alignment evolution curve, and determining a defense evolution damage coefficient based on the sub-disaster defense capacity analysis recording thread;
determining a second defense evaluation value evolution curve of a second sub-alignment evolution thread based on a part of defense evolution threads in the second sub-alignment evolution thread in the sub-alignment evolution thread sequence and the defense evolution damage coefficient, obtaining a second alignment evolution curve based on the second defense evaluation value evolution curve and a corresponding second attack value evolution curve, analyzing a new sub-disaster defense capacity analysis recording thread based on the second alignment evolution curve, and connecting all sub-disaster capacity analysis recording threads to generate a disaster capacity analysis recording thread corresponding to the disaster type after traversing the sub-alignment evolution thread sequence.
Preferably, the method for analyzing the disaster prevention capability of the non-coal mine comprises the following steps of S3: analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information, and after acquiring a disaster fortification capability evaluation value and a fortification capability defect analysis result corresponding to the disaster type, further comprising:
acquiring real-time site information of the non-coal mine, and predicting the type of target disasters and disaster related information which possibly occur based on the real-time site information;
and judging whether real-time remediation is needed or not based on the disaster related information and the disaster fortification capability evaluation value of the target disaster type, if so, generating a corresponding real-time remediation scheme based on the fortification capability defect analysis result of the corresponding disaster type, and otherwise, keeping the corresponding judgment result.
Preferably, the method for analyzing disaster prevention capability of a non-coal mine, which determines whether real-time remediation is required based on the disaster-related information and the disaster prevention capability evaluation value of the target disaster type, includes:
determining the highest defensible level corresponding to the disaster fortification capability evaluation value of the target disaster type based on the highest defensible level list of the target disaster type;
and determining a predicted disaster grade based on the disaster related information, judging whether the highest defensive grade is not lower than the predicted disaster grade, if so, judging that real-time remediation is not needed, and 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 hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of an analysis method for disaster prevention capability of a non-coal mine according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for analyzing disaster prevention capability of non-coal mines according to an embodiment of the present invention;
fig. 3 is a flowchart of another method for analyzing disaster prevention 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 in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
the invention provides an analysis method for disaster fortification capacity of non-coal mines, and with reference to a figure 1, the method comprises the following steps:
s1: acquiring disaster fortification related information of a non-coal mine;
s2: based on disaster types, dividing the disaster setting relevant information and integrating time sequence to obtain disaster setting 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 a disaster fortification capability evaluation value and a fortification capability defect analysis result corresponding to the disaster type.
In this embodiment, the disaster defense related information includes: basic information and site fortification information of non-coal mines and emergency resource management information.
In this embodiment, the disaster category is, for example: earthquakes, floods, and the like.
In this embodiment, dividing the disaster prevention related information is to divide the disaster prevention related information according to disaster types to obtain sub-disaster prevention related information corresponding to each disaster type.
In this embodiment, the disaster prevention time sequence information is information of disaster prevention change with time sequence corresponding to a disaster type, which is obtained by dividing and time sequence integrating disaster prevention related information.
In this embodiment, the disaster prevention ability evaluation value is an evaluation value for evaluating the prevention ability of the non-coal mine for the corresponding disaster type, which is obtained by analyzing the disaster prevention ability of the non-coal mine based on the disaster prevention time series information.
In this 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 analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification timing sequence information.
The beneficial effects of the above technology are: the disaster fortification capacity related information acquired according to the multiple indexes is integrated according to the defense stage which plays a role in defense when a disaster occurs, so that disaster fortification time sequence information is acquired, and comprehensive and accurate evaluation on the disaster fortification capacity of the non-coal mine is realized from the multiple indexes on the basis of the disaster fortification time sequence information, so that the acquired disaster fortification capacity analysis result can visually see the comprehensive result of the disaster fortification capacity and can also visually see the analysis result of the disaster fortification defect.
Example 2:
on the basis of the embodiment 1, the method for analyzing the disaster prevention capability of the non-coal mine comprises the following steps of S1: acquiring disaster fortification related information of a non-coal mine, referring to fig. 2, the method comprises the following steps:
s101: acquiring basic information and field fortification information of the non-coal mine field;
s102: calling out emergency resource management information of the non-coal mine from an emergency resource management library;
s103: and summarizing the basic information, the field 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 information of the location and the three-dimensional structure of the non-coal mine.
In this embodiment, the field fortification information is fortification information of a non-coal mine field, for example: a quakeproof reinforcing device at a place of a non-coal mine.
In this embodiment, the emergency resource management library is an information library for storing emergency resource management information of the non-coal mine.
In this embodiment, the emergency resource management information is related information of emergency resources that can be scheduled when a disaster occurs in a non-coal mine, and the emergency resources are scheduled in the emergency resource management library.
The beneficial effects of the above technology are: by acquiring basic information, site fortification information and emergency resource management information of the non-coal mine, information related to analysis of disaster fortification capability of the non-coal mine is acquired from multiple dimensions, and a foundation is provided for comprehensive and accurate evaluation of the disaster fortification capability of the non-coal mine from multiple indexes.
Example 3:
on the basis of the embodiment 2, the method for analyzing the disaster fortification capability of the non-coal mine comprises the following steps of S2: based on the disaster type, the disaster defense related information is divided and time-series integrated to obtain disaster defense time-series information corresponding to the disaster type, referring to fig. 3, including:
s201: dividing sub-disaster setoff related information corresponding to the disaster type from the disaster setoff related information based on basic information in the disaster setoff related information and the disaster type;
s202: and performing time sequence integration on the sub-disaster defense related information to obtain disaster defense time sequence information corresponding to the disaster type.
In this embodiment, the sub-disaster prevention related information is part of the disaster prevention related information corresponding to the disaster type divided in the disaster prevention related information, based on the basic information and the disaster type in the disaster prevention related information.
The beneficial effects of the above technology are: the disaster setting relevant information is divided based on the disaster types and then time sequence integration is carried out, and a foundation is provided for analyzing the disaster setting capacity of the non-coal mine subsequently aiming at different disaster types.
Example 4:
on the basis of the embodiment 3, the method for analyzing the disaster prevention capability of the non-coal mine comprises the following steps of S201: based on the basic information in the disaster setoff related information and the disaster type, dividing sub-disaster setoff related information corresponding to the disaster type in the disaster setoff related information, including:
building a non-coal mine three-dimensional model of the non-coal mine based on basic information in the disaster fortification related information;
determining a required fortification position and required fortification plan information corresponding to the disaster type in the non-coal mine three-dimensional model based on the disaster type;
dividing sub-site fortification information corresponding to the disaster type from the site fortification information in the disaster fortification related information based on the position required to fortify and the plan information required to fortify;
dividing sub emergency resource management information corresponding to the disaster type from emergency resource management information in the disaster fortification related information based on the fortification plan information;
and regarding the sub-site defense information and the sub-emergency resource management information as the sub-disaster defense related information corresponding to the disaster type.
In this embodiment, the non-coal mine three-dimensional model is a three-dimensional structure model of the non-coal mine built based on the basic information in the disaster fortification related information.
In this embodiment, the position to be fortified is the position to be fortified in the non-coal mine three-dimensional model determined based on the disaster type.
In this embodiment, the information of the required fortification plan is related to the specific plan which needs fortification at the required fortification position, such as the rule of the required reinforcing device or the specification of the channel for rainwater drainage, or emergency resources which can be scheduled in time.
In this embodiment, the sub-site defense information is partial site defense information corresponding to the disaster type divided from the site defense information in the disaster defense related information based on the required defense position and the required defense plan information.
In this embodiment, the sub-emergency resource management information is part of emergency resource management information corresponding to the disaster type divided from the emergency resource management information in the disaster defense related information based on the defense plan information.
The beneficial effects of the above technology are: the method has the advantages that the non-coal mine three-dimensional structure is built based on the basic information in the disaster fortification related information, a foundation is provided for subsequently and accurately determining the required fortification position and the required fortification plan information corresponding to the disaster type, the required fortification position and the required fortification plan information corresponding to the disaster type can be accurately determined based on the non-coal mine three-dimensional result, and the sub-disaster fortification related information corresponding to the disaster type can be accurately divided from the field fortification information and the emergency resource management information of the disaster fortification related information based on the required fortification position and the required fortification plan information.
Example 5:
on the basis of embodiment 4, the method for analyzing the disaster fortification capability of the non-coal mine includes, based on the disaster type, determining a required fortification position and required fortification plan information corresponding to the disaster type in the non-coal mine three-dimensional model, and includes:
determining the type of on-site evaluation data based on the disaster type, and identifying the evaluation position of the non-coal mine three-dimensional model based on an evaluation position list of the type of on-site evaluation data to determine a plurality of on-site evaluation positions;
based on the evaluation rule of each evaluation position, initially evaluating the defense capability of the corresponding field evaluation position to the disaster of the corresponding disaster type to obtain an initial evaluation score;
marking the site evaluation position in the non-coal mine three-dimensional model, determining an evaluation marking model, and determining evaluation influence relations among all 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 spacing 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 spacing distance and the corresponding evaluation influence relationship;
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 a terminal point, and constructing an influence pointing vector of the central evaluation position;
when the center evaluation position has only one influence pointing vector, unifying the evaluation position influence relation three-dimensional network 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 has more than one influence orientation vector, determining a field evaluation position corresponding to the end point of each orientation vector and a first mutual influence degree of the center evaluation position based on the evaluation position influence relation list, and unifying the evaluation position influence relation three-dimensional network under a preset coordinate system based on the center evaluation position, the influence orientation vector and the first mutual influence degree to obtain a standard coordinate unification result;
establishing an evaluation value matrix of three dimensions based on the standard coordinate unified result and all initial evaluation values, determining a second mutual influence degree between each remaining field evaluation position except the central evaluation position and the central evaluation position based on the evaluation position influence relation list, and establishing an influence evolution matrix of three dimensions based on the standard coordinate unified result and all second mutual influence degrees;
determining iteration times n, multiplying the evaluation value matrix and the influence evolution matrix for n times, and then opening the matrix for n times to obtain a final evaluation evolution matrix, taking a 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 a value of the required fortification position in the corresponding final evaluation evolution matrix, a 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 in a non-coal mine field determined based on the disaster type, for example: when the disaster type is a flood disaster, the corresponding field evaluation data type can be data related to a sunken channel on the surface of a non-coal mine and data related to a ground sunken channel.
In this embodiment, the evaluation position list is a list formed by a plurality of evaluation positions corresponding to the field evaluation data types, where the evaluation positions are, for example, non-coal mine surface recessed channels or ground surface recessed channels.
In this embodiment, the on-site evaluation position identifies the evaluation positions of the non-coal mine three-dimensional model based on the evaluation position list of the on-site evaluation data type, and then determines a plurality of positions in the non-coal mine where fortification capability evaluation is required.
In this embodiment, the evaluation rule is an evaluation rule corresponding to the evaluation position, for example: whether the inclination of the sunken channel on the surface of the non-coal mine is greater than an inclination threshold value, whether the depth is greater than a depth threshold value and the like.
In this embodiment, the initial evaluation score is a score obtained after the evaluation rule based on each evaluation position initially evaluates the defense capability of the disaster corresponding to the disaster type at the corresponding on-site evaluation position.
In this embodiment, the evaluation marking model is a new three-dimensional model obtained by marking the site evaluation position in the non-coal mine three-dimensional model.
In this embodiment, the evaluation location impact relationship list is a list including evaluation impact relationships between different evaluation locations.
In this embodiment, the evaluation influence relationship is a relationship that influences the defense setting capability 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 sunken channel on the surface of the non-coal mine to the sunken channel on the ground.
In the embodiment, the three-dimensional network for the evaluation position influence relationship is a three-dimensional network structure which represents the mutual influence relationship between the evaluation positions and is constructed on the basis of the distribution positions of the field evaluation positions in the non-coal mine three-dimensional model and all the evaluation influence relationships.
In this embodiment, determining the comprehensive influence degree of each field evaluation position based on the separation distance and the corresponding evaluation influence relationship includes:
Figure BDA0003767221390000141
wherein, delta is the comprehensive influence degree of the currently calculated on-site evaluation position, j is the jth on-site evaluation position having evaluation influence relation with the currently calculated on-site evaluation position, m is the total number of on-site evaluation positions having evaluation influence relation with the currently calculated on-site evaluation position, and x j For the separation distance, delta, between the jth field evaluation position, which has an evaluation influence relationship with the currently calculated field evaluation position, and the currently calculated field evaluation position j An evaluation influence degree corresponding to an evaluation influence relationship between the jth field evaluation position having an evaluation influence relationship with the currently calculated field evaluation position and the currently calculated field evaluation position;
for example, m is 3,x 1 Is 1,x 2 Is 2,x 3 Is 3, delta 1 Is 0.1, delta 2 Is 0.2, delta 3 At 0.3, δ is 0.13.
In this embodiment, the central evaluation position is the site evaluation position corresponding to the maximum comprehensive influence degree.
In this embodiment, the influence direction vector is a vector constructed by using the center evaluation position as a starting point and using the field evaluation position adjacent to the center evaluation position as an end point.
In this embodiment, when the center evaluation position has only one influence orientation vector, based on the center evaluation position and the influence orientation vector, the evaluation position influence relationship three-dimensional network is unified in a preset coordinate system, and a standard coordinate unification result is obtained, that is:
and coinciding the central evaluation position with the original point of a preset coordinate system, and coinciding the direction corresponding to the only one influence pointing vector with the positive direction of the abscissa axis to obtain a standard coordinate unified result.
In this embodiment, the first mutual influence degree is a mutual influence degree 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 central evaluation position, the influence direction vector, and the first mutual influence degree, the evaluation position influence relationship three-dimensional network is unified in a preset coordinate system, and a standard coordinate unification result is obtained, that is:
and coinciding the central evaluation position with the original point 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 unified result.
In this embodiment, the standard coordinate unification result is a result obtained by unifying the three-dimensional network of the estimated position influence relationship in a preset coordinate system based on the center estimated position, the influence pointing vector, and the first mutual influence degree.
In this embodiment, constructing an evaluation value matrix of three dimensions based on the unified result of the standard coordinates and all initial evaluation values includes:
looking at a unified result of standard coordinates in an x-axis dimension to obtain an evaluation position plane graph, determining evaluation value matrix capacity of a corresponding dimension based on all transverse evaluation position capacity and all longitudinal evaluation position capacity in the evaluation position plane graph, constructing an empty matrix (namely, numerical values in the matrix are all 0, and the number of rows and columns of the matrix is equal to the evaluation value matrix capacity) based on the evaluation value matrix capacity, taking an initial evaluation value of the corresponding evaluation position in the evaluation position plane graph as the numerical value of the corresponding position in the empty matrix, and obtaining the evaluation value matrix of the corresponding dimension.
In this embodiment, the second degree of mutual influence is the degree of mutual influence between each remaining field evaluation position except the central evaluation position determined by the evaluation position influence relationship list and the central evaluation position
In this embodiment, based on the unified standard coordinate result and all the second mutual influence degrees, a three-dimensional influence evolution matrix is constructed, including:
and (3) observing a standard coordinate unified result in an x-axis dimension to obtain an evaluation position plane graph, determining evaluation value matrix capacity of a corresponding dimension based on all transverse evaluation position capacity and all longitudinal evaluation position capacity in the evaluation position plane graph, constructing a null matrix based on the evaluation value matrix capacity (namely, the numerical values in the matrix are all 0, and the number of rows and columns of the matrix is equal to 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 determined iteration number n is determined according to a preset setting, and is related to a preset disaster evolution time.
In this embodiment, the final estimation evolution matrix is a matrix obtained by multiplying the estimation value matrix and the influence evolution matrix n times and then dividing by the power n.
In this embodiment, the required defense position is a position lower than the evaluation threshold in the final evaluation evolution matrix of three dimensions.
In this embodiment, the evaluation threshold is a maximum value of a corresponding position in the final evaluation evolution matrix when it is determined that the corresponding evaluation position is 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 and the type of the required fortification position, that is, the required fortification plan information is determined as follows:
and determining corresponding fortification plan remediation information based on the difference list corresponding to the type of the position needing fortification, and taking the fortification plan remediation information as the corresponding information of the plan needing fortification.
The beneficial effects of the above technology are: the method comprises the steps of determining a plurality of field evaluation positions in a non-coal mine three-dimensional model based on disaster types, providing a preliminary screening basis for subsequently determining required defense positions and required defense plan information, constructing an evaluation position influence relationship three-dimensional network based on the determined field evaluation positions and an evaluation position influence relationship list, determining the comprehensive influence degree of each field evaluation position based on the field evaluation positions and the evaluation position influence relationship list, determining a central evaluation position based on the comprehensive influence degree, unifying the evaluation position influence relationship three-dimensional network under a preset coordinate system based on an influence direction vector of the central evaluation position, laying an evolution dimension capable of realizing a subsequent defense evolution process, ensuring the accuracy of the subsequently determined required defense positions, determining an evaluation value matrix representing the local defense capability of the non-coal mine in an initial state on the basis of a standard coordinate unification result and an initial evaluation value determined based on a corresponding evaluation rule and a second mutual influence degree between each field evaluation position and the central evaluation position, determining an evaluation value matrix representing the local defense capability of the non-coal mine in the initial state on the disaster defense capability and a mutual influence evolution matrix representing the defense capability of the different evaluation positions on the disaster evolution in the disaster process, and obtaining an iteration on the influence evolution of the different evaluation positions on the disaster evolution, and further considering the influence of the disaster evolution, and further determining the influence of the different disaster on the disaster evolution positions after the disaster evolution.
Example 6:
on the basis of the embodiment 4, the method for analyzing the disaster prevention capability of the non-coal mine, S202: performing time sequence integration on the sub-disaster defense related information to obtain disaster defense time sequence information corresponding to the disaster type, including:
determining a first defense stage corresponding to each fortification information based on the fortification position and the corresponding disaster type of each fortification information in the sub-disaster fortification related information sub-field fortification information;
determining a second defense phase 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 performing time sequence integration on each defense information and each resource management information in the sub-disaster defense related information based on the first defense stage and the second defense stage to obtain disaster defense 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 defense stage is a defense stage of the defense device in the corresponding defense information against the disaster when the corresponding disaster type occurs in the non-coal mine, which is determined based on the defense position of the corresponding defense information and the corresponding disaster type.
In this embodiment, the second defense stage is a stage of defending the disaster by the emergency resource in the corresponding resource management information when the corresponding disaster type occurs in the non-coal mine, which is determined 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 above technology are: after all the fortification information and all the resource management information in the sub-disaster fortification related information are subjected to time sequence integration through the determined first defense stage of each fortification information in the sub-site fortification information and the determined second defense stage of each resource management information, the defense function exertion stage of the fortification information and the resource management information is determined, the time sequence integration of the disaster fortification related information is realized, and a foundation is provided for the follow-up analysis of the disaster fortification capability of the non-coal mine aiming at different disaster types.
Example 7:
on the basis of the embodiment 1, the method for analyzing the disaster fortification capability of the non-coal mine comprises the following steps of S3: analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information to obtain a disaster fortification capability evaluation value and a fortification capability defect analysis result corresponding to the disaster type, wherein the method comprises the following steps of:
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 recording thread corresponding to the disaster type;
analyzing and recording the thread based on the disaster fortification capacity, and determining a disaster fortification capacity evaluation value and a fortification capacity defect recording thread corresponding to the disaster type;
and integrating and summarizing the fortification capacity defect recording threads to obtain a fortification capacity defect analysis result corresponding to the disaster type.
In this 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 timing sequence information and corresponds to the disaster type.
In this embodiment, the fortification capability defect recording thread is a recording thread for the fortification capability defect corresponding to the disaster type determined based on the disaster fortification capability analysis recording thread.
The beneficial effects of the above technology are: the disaster fortification capacity of the non-coal mine is analyzed based on the disaster fortification time sequence information to generate a disaster fortification capacity analysis recording thread corresponding to the disaster type, and then 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 capacity analysis recording thread, 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 reference information is provided for the subsequent improvement of the disaster fortification.
Example 8:
on the basis of embodiment 4, the method for analyzing disaster prevention capability of a non-coal mine, which analyzes disaster prevention capability of the non-coal mine based on the disaster prevention timing sequence information and generates a disaster prevention capability analysis recording thread corresponding to a disaster type, includes:
determining maximum disaster occurrence data of each disaster grade of the disaster kinds based on grade division rules corresponding to the disaster kinds, and determining disaster evolution rules of each disaster grade of the disaster kinds;
performing disaster evolution simulation in the non-coal mine three-dimensional model based on the maximum disaster occurrence data of the disaster type corresponding to the disaster grade and the disaster evolution rule, and recording and obtaining a disaster evolution simulation thread of the disaster type corresponding to the disaster grade;
generating disaster evolution dynamic data of the disaster type corresponding to the disaster grade based on the disaster evolution simulation thread;
aligning the non-coal mine three-dimensional model with disaster fortification time sequence information corresponding to a disaster type and the fortification evolution thread to obtain a first alignment thread corresponding to the disaster grade of the disaster type;
determining a corresponding fortification defect position based on the first alignment thread, marking the fortification defect position 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 a fortification defect coefficient;
determining a danger coefficient of each evolution time point in the first alignment thread based on the fortification defect coefficient, and dividing the first pair Ji Xiancheng based on the danger coefficient and a preset danger coefficient gradient to obtain a sub-alignment evolution thread sequence;
determining a first defense evaluation value evolution curve of a first sub-alignment evolution thread based on a part of defense evolution threads in the first sub-alignment evolution thread in the sub-alignment evolution thread sequence and the maximum disaster occurrence data, generating a corresponding first disaster attack value evolution curve based on part of disaster evolution dynamic data in the first sub-alignment evolution thread, aligning the first defense evaluation value evolution curve with the first attack value evolution curve to obtain a first alignment evolution curve, analyzing a sub-disaster defense capacity analysis recording thread based on the first alignment evolution curve, and determining a defense evolution damage coefficient based on the sub-disaster defense capacity analysis recording thread;
determining a second defense evaluation value evolution curve of a second sub-alignment evolution thread based on a part of defense evolution threads in the second sub-alignment evolution thread in the sub-alignment evolution thread sequence and the defense evolution damage coefficient, obtaining a second alignment evolution curve based on the second defense evaluation value evolution curve and a corresponding second attack value evolution curve, analyzing a new sub-disaster defense capacity analysis recording thread based on the second alignment evolution curve, and connecting all sub-disaster defense capacity analysis recording threads to generate a disaster defense capacity analysis recording thread of a corresponding disaster type after traversing the sub-alignment evolution thread sequence.
In this embodiment, the grading rule is a disaster grading rule.
In this embodiment, the maximum disaster occurrence data is maximum disaster data that can occur corresponding to the disaster level, for example: for example, when the flood discharge amount is less than ten thousand cubic meters, the third-level flood is performed, and the maximum disaster data corresponding to the third-level flood is ten 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 is increased by one level per hour.
In this embodiment, the disaster evolution simulation thread is maximum disaster occurrence data and a disaster evolution rule based on a disaster category and a corresponding disaster grade, and performs disaster evolution simulation in a non-coal mine three-dimensional model and records a thread record obtained after a corresponding simulation process.
In this embodiment, the disaster evolution dynamic data is dynamic data of a disaster evolution process in a non-coal mine, where the disaster type extracted in the disaster evolution simulation thread corresponds to a disaster class.
In this embodiment, the first alignment thread is an alignment thread obtained by aligning the non-coal mine three-dimensional model with the disaster fortification timing sequence information corresponding to the disaster type.
In this embodiment, the second pair Ji Xiancheng is an alignment thread obtained after aligning the disaster evolution dynamic data and the arming evolution thread.
In this embodiment, the fortification defect position is the position where the fortification defect exists in the non-coal mine determined based on the second pair Ji Xiancheng.
In this embodiment, the non-coal mine defect marking model is a model obtained by marking the fortification defect position on the non-coal mine three-dimensional model.
In this embodiment, the fortification defect coefficient is a coefficient representing the fortification defect degree analyzed based on the non-coal mine defect labeling model.
In this embodiment, analyzing the non-coal mine defect marker model to determine a fortification defect coefficient includes:
and determining a defect coefficient of a fortifying defect position based on the first alignment thread, and taking the average value of all the defect coefficients as the fortifying defect coefficient.
In this embodiment, based on the fortification defect coefficient, a risk coefficient of each evolution time point in the first alignment thread is determined, that is:
and 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 danger coefficient of the corresponding evolution time point.
In this embodiment, the evolution time point is the time point in the first alignment thread.
In this embodiment, the preset risk coefficient gradient is a preset risk coefficient division gradient.
In this embodiment, the sub-alignment evolution thread sequence is a sequence formed by sub-alignment evolution threads obtained by dividing the first alignment thread based on the risk coefficient and a preset risk coefficient gradient.
In this embodiment, the sub-alignment evolution thread is a partial alignment evolution thread in the sub-alignment evolution thread sequence,
in this embodiment, based on the partial defense evolution thread in the first sub-alignment evolution thread in the sub-alignment evolution thread sequence and the maximum disaster occurrence data, a first defense evaluation value evolution curve of the first sub-alignment evolution thread is determined, that is:
determining real-time maximum disaster occurrence preventable data based on part of defense evolution threads in the first sub-alignment evolution thread, taking the ratio of the maximum disaster occurrence data to the maximum disaster occurrence preventable data as a first defense evaluation value, and fitting a first defense evaluation value evolution curve based on the first defense evaluation value of each time point.
In this embodiment, the first defense evaluation value evolution curve is an evolution curve of the first defense evaluation value of the first sub-alignment evolution thread determined based on the partial defense evolution thread and the maximum disaster occurrence data in the first sub-alignment evolution thread in the sub-alignment 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-alignment evolution thread, that 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 characteristic 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 the partial disaster evolution dynamic data in the first sub-alignment 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, the analyzing a sub-disaster fortification capability recording thread based on the first alignment evolution curve includes:
and fitting a judgment result of whether the fortification capability of the corresponding time point is qualified or not into a recording thread to obtain a sub-disaster fortification capability analysis recording thread 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, wherein the fortification capability is qualified, otherwise, the fortification capability is unqualified.
In this embodiment, the defense evolution damage coefficient is determined based on the sub-disaster defense ability analysis recording thread, which is:
determining the first time point of each unqualified fortification capability in the sub-disaster fortification capability analysis recording thread and the terminal time point of the sub-disaster fortification capability analysis recording thread, forming a corresponding first time point sequence based on all the first time points, determining the sequencing ordinal number of each first time point in the first time point sequence, and calculating the fortification evolution damage coefficient based on the first time point, the corresponding sequencing ordinal number and the terminal time point:
Figure BDA0003767221390000221
in the formula, h is a fortification evolution damage coefficient, n is the total number of the 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 currently calculated fortification capability contained in the sub-disaster fortification capability analysis recording thread, and T is the total number of the first time points with unqualified fortification capability contained in the sub-disaster fortification capability analysis recording thread 1i Analyzing and recording the first time point T with unqualified ith fortification capability contained in the thread for the fortification capability of the sub-disaster end Is the end point time;
for example, n is 3,T end Is 5,T 11 Is 1,T 13 Is 3,T 13 And h is 0.49 when the value is 5.
And based on the formula, a coefficient representing the defense evolution damage degree of the corresponding sub-disaster defense ability analysis recording thread can be accurately calculated.
In this embodiment, the second defense evaluation value evolution curve is an evolution curve of the defense evaluation value of the second sub-alignment evolution thread determined based on the partial defense evolution thread and the defense evolution damage coefficient in the second sub-alignment evolution thread in the sub-alignment evolution thread sequence.
In this embodiment, the second alignment evolution curve is an alignment evolution curve obtained by aligning the second defense evaluation value evolution curve with the corresponding second attack value evolution curve.
In this embodiment, the second defense evaluation value evolution curve is an evolution curve for generating a corresponding disaster attack value based on the partial disaster evolution dynamic data in the second sub-alignment evolution thread.
The beneficial effects of the above technology are: disaster evolution simulation is carried out in the non-coal mine three-dimensional model based on disaster types, disaster grades and 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, disaster fortification time sequence information of the corresponding disaster types and fortification evolution threads are aligned, the fortification time sequence information and the disaster evolution process are aligned, a foundation is provided for the follow-up determination of danger coefficients of each evolution time point, division standards are also provided for the division of second alignment threads, the stage division of the disaster fortification capacity in the evolution process is more accurate, the fact that the disaster fortification capacity analysis recording threads accurately represent a disaster fortification capacity analysis process is further guaranteed, the fortification capacity of the current sub-alignment evolution thread is analyzed based on the fortification damage coefficients determined based on the previous sub-alignment evolution thread based on the division, the evolution capacity of a fortification device in the disaster evolution process is fully considered, and whether the evolution curve is accurately judged by generating a fortification evolution value and an attack evolution value corresponding to each sub-alignment evolution thread.
Example 9:
on the basis of the embodiment 1, the method for analyzing the disaster fortification capability of the non-coal mine comprises the following steps of S3: analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information, and after acquiring a disaster fortification capability evaluation value and a fortification capability defect analysis result corresponding to the disaster type, further comprising:
acquiring real-time site information of the non-coal mine, and predicting the type of target disasters and disaster related information which possibly occur based on the real-time site information;
and judging whether real-time remediation is needed or not based on the disaster related information and the disaster fortification capability evaluation value of the target disaster type, if so, generating a corresponding real-time remediation scheme based on the fortification capability defect analysis result of the corresponding disaster type, and otherwise, keeping the corresponding judgment result.
In this embodiment, the real-time field information is the field information of the non-coal mine, which is acquired in real time and related to the disaster, for example: rainfall, seismic grade, etc.
In this embodiment, the target disaster type is a possible disaster type predicted based on real-time field information.
In this embodiment, the disaster-related information is information related to the type of disaster that may occur, which is predicted based on real-time field information.
In this embodiment, the real-time remediation scheme is a defense remediation scheme generated based on a defense capability defect analysis result of a corresponding disaster type when it is determined that real-time remediation is required based on disaster defense capability evaluation values of disaster-related information and a target disaster type.
In this embodiment, the determination result is a result of determining whether or not real-time remediation is necessary based on the disaster-related information and the disaster-fortifying-capability evaluation value of the target disaster type.
The beneficial effects of the above technology are: the method and the device have the advantages that the types of the target disasters and the disaster related information which possibly occur are predicted based on the real-time field information of the non-coal mine, whether the real-time remediation is needed or not is judged, the real-time judgment of the field fortification of the non-coal mine based on the real-time field information is realized, and the loss possibly occurring due to the disasters is reduced.
Example 10:
in addition to embodiment 9, the method for analyzing disaster prevention capability of a non-coal mine, which determines whether real-time remediation is required based on the disaster-related information and the disaster prevention capability evaluation value of the target disaster type, includes:
determining the highest defensible level corresponding to the disaster fortification capability evaluation value of the target disaster type based on the highest defensible level list of the target disaster type;
and determining a predicted disaster grade based on the disaster related information, judging whether the highest defensive grade is not lower than the predicted disaster grade, if so, judging that real-time remediation is not needed, and otherwise, judging that remediation is needed.
In this embodiment, the highest defensive level list is a list of disaster defense capability evaluation value ranges corresponding to different defensive levels including the target disaster type.
In this embodiment, the highest defensible level is the highest defensible level corresponding to the disaster defense capability evaluation value of the target disaster type determined based on the highest defensible level list of the target disaster type.
In this embodiment, the predicted disaster level is a disaster level predicted to possibly occur based on the disaster-related information.
The beneficial effects of the above technology are: based on the comparison of the highest defensible level corresponding to the disaster defense ability evaluation value and the predicted disaster level determined based on the disaster-related information, whether the defense 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 changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A method for analyzing disaster prevention capability of a non-coal mine, comprising:
s1: acquiring disaster fortification related information of a non-coal mine;
s2: based on disaster types, dividing and integrating the disaster fortification related information in time sequence 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 a disaster fortification capability evaluation value and a fortification capability defect analysis result corresponding to the disaster type.
2. The method for analyzing disaster prevention capability of non-coal mines as set forth in claim 1, wherein S1: acquiring disaster fortification related information of a non-coal mine, comprising:
s101: acquiring basic information and field fortification information of the non-coal mine field;
s102: calling out emergency resource management information of the non-coal mine from an emergency resource management library;
s103: and summarizing the basic information, the field fortification information and the emergency resource management information to obtain disaster fortification related information of the non-coal mine.
3. The method for analyzing disaster prevention capability of non-coal mines as set forth in claim 2, wherein S2: based on the disaster type, the disaster fortification related information is divided and time sequence integrated, so as to obtain disaster fortification time sequence information corresponding to the disaster type, and the method comprises the following steps:
s201: dividing sub-disaster setoff related information corresponding to the disaster type from the disaster setoff related information based on basic information in the disaster setoff related information and the disaster type;
s202: and performing time sequence integration on the sub-disaster defense related information to obtain disaster defense time sequence information corresponding to the disaster type.
4. The method for analyzing disaster prevention capability of non-coal mines as set forth in claim 3, wherein S201: based on the basic information in the disaster setoff related information and the disaster type, dividing sub-disaster setoff related information corresponding to the disaster type in the disaster setoff related information, including:
building a non-coal mine three-dimensional model of the non-coal mine based on basic information in the disaster fortification related information;
determining a required fortification position and required fortification plan information corresponding to the disaster type in the non-coal mine three-dimensional model based on the disaster type;
dividing sub-site fortification information corresponding to the disaster type from the site fortification information in the disaster fortification related information based on the position required to fortify and the plan information required to fortify;
dividing sub emergency resource management information corresponding to the disaster type from emergency resource management information in the disaster setback related information based on the setback plan information;
and taking the sub-site defense setting information and the sub-emergency resource management information as the sub-disaster defense setting related information corresponding to the disaster type.
5. The method for analyzing disaster prevention capability of non-coal mine according to claim 4, wherein the determining of the required prevention position and the required prevention plan information corresponding to the disaster type in the non-coal mine three-dimensional model based on the disaster type comprises:
determining the type of on-site evaluation data based on the disaster type, and identifying the evaluation position of the non-coal mine three-dimensional model based on an evaluation position list of the type of on-site evaluation data to determine a plurality of on-site evaluation positions;
based on the evaluation rule of each evaluation position, initially evaluating the defense capability of the corresponding field evaluation position to the disaster of the corresponding disaster type to obtain an initial evaluation score;
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 spacing 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 spacing distance and the corresponding evaluation influence relationship;
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 a terminal point, and constructing an influence pointing vector of the central evaluation position;
when the center evaluation position has only one influence pointing vector, unifying the evaluation position influence relation three-dimensional network 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 has more than one influence orientation vector, determining a field evaluation position corresponding to the end point of each orientation vector and a first mutual influence degree of the center evaluation position based on the evaluation position influence relation list, and unifying the evaluation position influence relation three-dimensional network under a preset coordinate system based on the center evaluation position, the influence orientation vector and the first mutual influence degree to obtain a standard coordinate unification result;
establishing an evaluation value matrix of three dimensions based on the standard coordinate unified result and all initial evaluation values, determining a second mutual influence degree between each remaining field evaluation position except the central evaluation position and the central evaluation position based on the evaluation position influence relation list, and establishing an influence evolution matrix of three dimensions based on the standard coordinate unified result and all second mutual influence degrees;
determining iteration times n, multiplying the evaluation value matrix and the influence evolution matrix for n times, and then opening the matrix for n times to obtain a final evaluation evolution matrix, taking a 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 a value of the required fortification position in the corresponding final evaluation evolution matrix, a difference value of the evaluation threshold value and the type of the required fortification position.
6. The method for analyzing disaster prevention capability of non-coal mines as set forth in claim 4, wherein S202: performing time sequence integration on the sub-disaster defense related information to obtain disaster defense time sequence information corresponding to the disaster type, including:
determining a first defense stage corresponding to each fortification information based on the fortification position and the corresponding disaster type of each fortification information in the sub-disaster fortification related information sub-field fortification information;
determining a second defense phase 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 performing time sequence integration on each defense information and each resource management information in the sub-disaster defense related information based on the first defense stage and the second defense stage to obtain disaster defense time sequence information corresponding to the disaster type.
7. The method for analyzing disaster prevention capability of non-coal mines as set forth in claim 1, wherein S3: analyzing the disaster fortification capability of the non-coal mine based on the disaster fortification time sequence information to obtain a disaster fortification capability evaluation value and a fortification capability defect analysis result corresponding to the disaster type, wherein the method comprises the following steps of:
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 recording thread corresponding to the disaster type;
analyzing and recording the thread based on the disaster fortifying capacity, and determining a disaster fortifying capacity evaluation value and a fortifying capacity defect recording thread corresponding to the disaster type;
and integrating and summarizing the fortification capability defect recording threads to obtain a fortification capability defect analysis result corresponding to the disaster type.
8. The method for analyzing disaster prevention capability of non-coal mines according to claim 4, wherein the disaster prevention capability analysis recording thread corresponding to the disaster type is generated by analyzing the disaster prevention capability of the non-coal mine based on the disaster prevention time sequence information, and the method comprises:
determining maximum disaster occurrence data of each disaster grade of the disaster kinds based on grade division rules corresponding to the disaster kinds, and determining disaster evolution rules of each disaster grade of the disaster kinds;
performing disaster evolution simulation in the non-coal mine three-dimensional model based on the maximum disaster occurrence data of the disaster class corresponding to the disaster class and the disaster evolution rule, and recording and obtaining a disaster evolution simulation thread of the disaster class corresponding to the disaster class;
generating disaster evolution dynamic data of the disaster type corresponding to the disaster grade based on the disaster evolution simulation thread;
aligning the non-coal mine three-dimensional model with disaster fortification time sequence information corresponding to a disaster type and the fortification evolution thread to obtain a first alignment thread corresponding to the disaster grade of the disaster type;
determining a corresponding fortification defect position based on the first alignment thread, marking the fortification defect position 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 a fortification defect coefficient;
determining a danger coefficient of each evolution time point in the first alignment thread based on the fortification defect coefficient, and dividing the first pair Ji Xiancheng based on the danger coefficient and a preset danger coefficient gradient to obtain a sub-alignment evolution thread sequence;
determining a first defense evaluation value evolution curve of a first sub-alignment evolution thread based on a part of defense evolution threads in the first sub-alignment evolution thread in the sub-alignment evolution thread sequence and the maximum disaster occurrence data, generating a corresponding first disaster attack value evolution curve based on part of disaster evolution dynamic data in the first sub-alignment evolution thread, aligning the first defense evaluation value evolution curve with the first attack value evolution curve to obtain a first alignment evolution curve, analyzing a sub-disaster defense capacity analysis recording thread based on the first alignment evolution curve, and determining a defense evolution damage coefficient based on the sub-disaster defense capacity analysis recording thread;
determining a second defense evaluation value evolution curve of a second sub-alignment evolution thread based on a part of defense evolution threads in the second sub-alignment evolution thread in the sub-alignment evolution thread sequence and the defense evolution damage coefficient, obtaining a second alignment evolution curve based on the second defense evaluation value evolution curve and a corresponding second attack value evolution curve, analyzing a new sub-disaster defense capacity analysis recording thread based on the second alignment evolution curve, and connecting all sub-disaster capacity analysis recording threads to generate a disaster capacity analysis recording thread corresponding to the disaster type after traversing the sub-alignment evolution thread sequence.
9. The method for analyzing disaster prevention capability in non-coal mines 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 acquiring a disaster fortification capability evaluation value and a fortification capability defect analysis result corresponding to the disaster type, further comprising:
acquiring real-time site information of the non-coal mine, and predicting the type of a target disaster which possibly occurs and disaster related information based on the real-time site information;
and judging whether real-time remediation is needed or not based on the disaster related information and the disaster fortification capability evaluation value of the target disaster type, if so, generating a corresponding real-time remediation scheme based on the fortification capability defect analysis result of the corresponding disaster type, and otherwise, keeping the corresponding judgment result.
10. The method for analyzing disaster prevention capability in non-coal mines according to claim 9, wherein determining whether real-time remediation is required based on the disaster-related information and the disaster prevention capability evaluation value of the target disaster type includes:
determining the highest defensible level corresponding to the disaster fortification capability evaluation value of the target disaster type based on the highest defensible level list of the target disaster type;
and determining a predicted disaster grade based on the disaster related information, judging whether the highest defensive grade is not lower than the predicted disaster grade, if so, judging that real-time remediation is not needed, and otherwise, judging that remediation is needed.
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