CN117852123A - Method and device for determining advanced support range, electronic equipment and storage medium - Google Patents

Method and device for determining advanced support range, electronic equipment and storage medium Download PDF

Info

Publication number
CN117852123A
CN117852123A CN202311597903.8A CN202311597903A CN117852123A CN 117852123 A CN117852123 A CN 117852123A CN 202311597903 A CN202311597903 A CN 202311597903A CN 117852123 A CN117852123 A CN 117852123A
Authority
CN
China
Prior art keywords
engineering
data
determining
support
safety coefficient
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311597903.8A
Other languages
Chinese (zh)
Inventor
于凤启
郭庆瑞
郑金城
贾江伟
赵文岭
李沁怡
郑自会
王炎宾
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guodian Construction Investment Inner Mongolia Energy Co ltd
Original Assignee
Guodian Construction Investment Inner Mongolia Energy Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guodian Construction Investment Inner Mongolia Energy Co ltd filed Critical Guodian Construction Investment Inner Mongolia Energy Co ltd
Priority to CN202311597903.8A priority Critical patent/CN117852123A/en
Publication of CN117852123A publication Critical patent/CN117852123A/en
Pending legal-status Critical Current

Links

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The disclosure relates to a method, a device, electronic equipment and a storage medium for determining a lead support range, wherein the method comprises the following steps: and responding to the received engineering geological parameters and advanced support parameters, constructing an engineering geological model according to the engineering geological parameters, analyzing a working face ore pressure rule of the engineering geological model to generate engineering ore pressure data, determining transformation trend data of a preset support component along with the position of the working face according to the engineering ore pressure data and the advanced support parameters, determining a safety coefficient change trend of the preset support component according to the transformation trend data, and generating an advanced support range according to the safety coefficient change trend. Therefore, the advanced support range in the mine channel is determined through data simulation and multiple data analysis, the accuracy of the advanced support range is improved, and the safety in the mine channel is ensured.

Description

Method and device for determining advanced support range, electronic equipment and storage medium
Technical Field
The disclosure relates to the technical field of mineral exploitation, in particular to a method and a device for determining an advanced support range, electronic equipment and a storage medium.
Background
The existing common method for determining the advance support range is mostly based on engineering, and is determined by combining the periodic step-pressing distance during the stoping period of the working face. The method for determining the advance support range in the related art mainly comprises the following steps: firstly, arranging a plurality of field measuring stations in a stoping roadway; secondly, monitoring data such as radon gas concentration, coal body stress and anchor rod stress at a site station during stoping of a working face by adopting a radon measuring instrument, a drilling stress meter and an anchor rod (cable) stress meter; and then extracting monitoring data to analyze dynamic change relation of radon gas concentration of the coal body, stress of the coal body and the stress of the anchor rod and the distance between the site measuring station and the working surface, comprehensively comparing the results obtained by the monitoring method, and accurately determining the reasonable distance range of the advanced reinforcement support.
Disclosure of Invention
The disclosure aims to provide a method, a device, electronic equipment and a storage medium for determining a forepoling range, so as to solve the technical problem of inaccurate forepoling range in the related art.
To achieve the above object, a first aspect of embodiments of the present disclosure provides a method for determining a scope of advance support, the method including:
responding to the received engineering geological parameters and advanced support parameters, and constructing an engineering geological model according to the engineering geological parameters;
carrying out working face ore pressure rule analysis on the engineering geological model to generate engineering ore pressure data;
according to the engineering mine pressure data and the advanced support parameters, determining transformation trend data of a preset support component along with the position of a working surface;
according to the transformation trend data, determining the safety coefficient change trend of the preset supporting component;
and generating an advanced support range according to the safety coefficient change trend.
Optionally, the determining, according to the transformation trend data, a security coefficient change trend of the preset supporting component includes:
acquiring a safety monitoring threshold value and a monitoring parameter weight of the preset supporting component;
according to the transformation trend data and the safety monitoring threshold value, determining safety coefficient data of the preset supporting component;
and determining the change trend of the safety coefficient according to the safety coefficient data and the monitoring parameter weight.
Optionally, the generating the advance support range according to the security coefficient variation trend includes:
acquiring a first transformation position and a second transformation position from the safety coefficient change trend, wherein the first transformation position is an engineering geological position corresponding to the safety coefficient when the safety coefficient starts to be reduced, and the second transformation position is an engineering geological position corresponding to the safety coefficient when the safety coefficient is smaller than a set safety coefficient threshold value;
and determining the range from the first transformation position to the second transformation position as the advance support range.
Optionally, the working face mining pressure rule analysis is performed on the engineering geological model to generate engineering mining pressure data, which includes:
performing three-dimensional numerical simulation analysis and three-dimensional model test analysis on the engineering geological model to generate initial engineering ore pressure of the engineering geological model;
acquiring on-site mine pressure parameters corresponding to the engineering geological model acquired by preset monitoring equipment;
and verifying the initial engineering ore pressure based on the on-site ore pressure parameter to generate the engineering ore pressure data.
Optionally, the verifying the initial engineering mine pressure based on the on-site mine pressure parameter, generating the engineering mine pressure data includes:
if the on-site ore pressure parameter is matched with the initial engineering ore pressure, taking the initial engineering ore pressure as the engineering ore pressure data;
if the field ore pressure parameter is not matched with the initial engineering ore pressure, iteratively modifying a preset verification analysis parameter based on the field ore pressure parameter to generate a target verification parameter;
performing three-dimensional numerical simulation analysis and three-dimensional model test analysis on the engineering geological model based on the target verification parameters to generate target engineering mine pressure;
and if the on-site ore pressure parameter is matched with the target engineering ore pressure, taking the target engineering ore pressure as the engineering ore pressure data.
Optionally, the determining the transformation trend data of the preset supporting component along with the position of the working surface according to the engineering mine pressure data and the advanced supporting parameter includes:
according to the advanced support parameters, determining the support position and the support type of the preset support part in the engineering geological model;
determining stress change data of the preset supporting component according to the engineering mine pressure data, the supporting position and the supporting type;
and generating the transformation trend data according to the stress change data.
According to a second aspect of the embodiments of the present disclosure, there is provided a device for determining a scope of advance support, the device including:
the first generation module is used for responding to the received engineering geological parameters and the received advanced support parameters and constructing an engineering geological model according to the engineering geological parameters;
the second generation module is used for carrying out working face ore pressure rule analysis on the engineering geological model so as to generate engineering ore pressure data;
the first determining module is used for determining transformation trend data of the preset supporting component along with the position of the working surface according to the engineering mine pressure data and the advanced supporting parameters;
the second determining module is used for determining the safety coefficient change trend of the preset supporting component according to the change trend data;
and the execution module is used for generating an advanced support range according to the safety coefficient change trend.
Optionally, the second determining module is configured to:
acquiring a safety monitoring threshold value and a monitoring parameter weight of the preset supporting component;
according to the transformation trend data and the safety monitoring threshold value, determining safety coefficient data of the preset supporting component;
and determining the change trend of the safety coefficient according to the safety coefficient data and the monitoring parameter weight.
According to a third aspect of embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of determining a scope of advanced support of any of the first aspects of the present disclosure.
According to a fourth aspect of embodiments of the present disclosure, there is provided an electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of determining a scope of advance support according to any of the first aspects of the present disclosure. .
According to the technical scheme, the engineering geological model is constructed according to the received engineering geological parameters and the advanced support parameters, working face ore pressure rule analysis is conducted on the engineering geological model to generate engineering ore pressure data, transformation trend data of the preset support component along with the position of the working face is determined according to the engineering ore pressure data and the advanced support parameters, safety coefficient change trend of the preset support component is determined according to the transformation trend data, and an advanced support range is generated according to the safety coefficient change trend. Therefore, the advanced support range in the mine channel is determined through data simulation and multiple data analysis, the accuracy of the advanced support range is improved, and the safety in the mine channel is ensured.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of the disclosure, and are incorporated in and constitute a part of this specification, illustrate the disclosure and together with the description serve to explain, but do not limit the disclosure. In the drawings:
fig. 1 is a flow chart illustrating a method of determining a scope of advance support according to an exemplary embodiment.
Fig. 2 is a schematic diagram illustrating a method of determining a scope of advance support according to an exemplary embodiment.
Fig. 3 is a block diagram illustrating an apparatus for determining a scope of advance support according to an exemplary embodiment.
Fig. 4 is a block diagram of an electronic device 400, shown in accordance with an exemplary embodiment.
Detailed Description
Specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the disclosure, are not intended to limit the disclosure.
It should be noted that, all actions for acquiring signals, information or data in the present disclosure are performed under the condition of conforming to the corresponding data protection rule policy of the country of the location and obtaining the authorization given by the owner of the corresponding device.
In the related technology, during the stoping of a working face, the stoping roadway is subjected to advanced mining to influence the mine pressure to develop violently, disasters such as roof fall, large deformation, rock burst and the like are easy to generate, and the existing control method is to carry out reinforced support design on the advanced section of the stoping roadway. Currently, the advance support range is determined based on engineering analogy, and the step pitch is determined by combining the period of the stoping period of the working face. The advanced support range obtained by the method has the advantages of single design process, lack of theoretical checking and verification, and easiness in occurrence of the condition of excessive or insufficient advanced support range.
In view of this, the present disclosure mainly solves the technical problem that the current advanced support range design method is single, and is difficult to perform quantitative analysis, and thus safety accidents easily occur in the mine, and fig. 1 is a flowchart of a method for determining an advanced support range according to an exemplary embodiment, and the method is applied to a terminal, as shown in fig. 1, and includes the following steps.
And step S11, responding to the received engineering geological parameters and the advanced support parameters, and constructing an engineering geological model according to the engineering geological parameters.
For example, in the mineral exploitation process, in order to prevent engineering safety accidents caused by collapse in a mine cavity, after the mine cavity is excavated to a certain extent in the mineral exploitation process, the mine cavity needs to be supported and fixed so as to prevent the collapse of the engineering mine cavity caused by lack of supporting components in the engineering surface of the mine cavity. Wherein, the support parts needed in the support fixing process can comprise support anchor rods, support anchor cables, support steel wire nets, explosion-proof nets, support timber and the like. The method comprises the steps of identifying and monitoring advanced support components in an engineering project through monitoring equipment, and determining advanced support parameters corresponding to all the advanced support components in the engineering project, wherein the advanced support parameters comprise support positions of the support components, types of the corresponding support components, size parameters of the support components and the like. In this embodiment, the advanced support parameters are the advanced support parameters corresponding to the support components already built in the engineering project, and the advanced support parameter information of the support components is collected through the monitoring equipment set in the engineering project in the field.
The engineering geological parameters are used for indicating geological condition information in engineering projects, and the engineering geological parameters comprise data information such as arrangement of working surfaces corresponding to the engineering projects, geological condition information, mineral extraction speed, engineering geological structures and the like. The method and the device are applied to the terminal, and after the engineering geological parameters and the advanced support parameters are input to the terminal by a user, the terminal is triggered to conduct quantitative design of the advanced support range. And identifying engineering geological parameters through a preset model, constructing an engineering geological model matched with the current engineering project, and analyzing advanced support parameters of the current engineering project based on the engineering geological model.
And S12, carrying out working face ore pressure rule analysis on the engineering geological model to generate engineering ore pressure data.
In this embodiment, stress analysis is performed on working face ore pressures of working faces in a current engineering project based on an engineering geological model, and engineering ore pressure data of the ore pressures changing along with the engineering progress is determined, where the current engineering progress may be marked based on the depth of an ore in the engineering project.
Optionally, in some embodiments, step S12 above includes:
performing three-dimensional numerical simulation analysis and three-dimensional model test analysis on the engineering geological model to generate an initial engineering ore pressure of the engineering geological model;
acquiring on-site mine pressure parameters corresponding to the engineering geological model acquired by preset monitoring equipment;
and verifying the initial engineering ore pressure based on the on-site ore pressure parameters to generate engineering ore pressure data.
In this embodiment, three-dimensional numerical simulation analysis and three-dimensional model test analysis are performed on the engineering geological model, so as to determine an initial engineering ore pressure of the engineering geological model, then a preset monitoring device which is set in the engineering project in the field is acquired, a field ore pressure parameter in the engineering project is acquired, the field ore pressure parameter is compared with the initial engineering ore pressure parameter, and if the field ore pressure parameter is matched with the initial engineering ore pressure parameter, the initial engineering ore pressure is used as engineering ore pressure data.
Optionally, in some embodiments, the step of verifying the initial engineering mine pressure based on the in-situ mine pressure parameter to generate engineering mine pressure data includes:
if the on-site ore pressure parameter is matched with the initial engineering ore pressure, taking the initial engineering ore pressure as engineering ore pressure data;
if the on-site ore pressure parameter is not matched with the initial engineering ore pressure, carrying out iterative modification on the preset verification analysis parameter based on the on-site ore pressure parameter so as to generate a target verification parameter;
performing three-dimensional numerical simulation analysis and three-dimensional model test analysis on the engineering geological model based on the target verification parameters to generate target engineering ore pressure;
and if the on-site ore pressure parameter is matched with the target engineering ore pressure, taking the target engineering ore pressure as engineering ore pressure data.
For example, in this embodiment, if the on-site mine pressure parameter is not matched with the initial engineering mine pressure parameter, training model parameters of three-dimensional numerical simulation analysis and three-dimensional model test analysis based on the on-site mine pressure parameter to obtain a trained three-dimensional numerical simulation analysis model and three-dimensional model test analysis model, and performing mine pressure analysis on the engineering geological model based on the three-dimensional numerical simulation analysis model and the three-dimensional model test analysis model to generate the initial engineering mine pressure parameter. In the embodiment, the initial engineering ore pressure can be verified based on the on-site ore pressure parameters, and when the error between the parameters is smaller, the initial engineering ore pressure is output as engineering ore pressure data; and if the errors among the parameters are larger, training a three-dimensional numerical simulation analysis model and a three-dimensional model test analysis model based on the on-site mine pressure parameters until the model reaches a convergence condition, and analyzing the engineering geological model based on the three-dimensional numerical simulation analysis model and the three-dimensional model test analysis model to generate engineering mine pressure data.
And S13, determining transformation trend data of the preset support component along with the position of the working surface according to engineering mine pressure data and advanced support parameters.
For example, in this embodiment, according to engineering mine pressure data and advanced support parameters, change trend data of each preset support component along with the position of the working surface in the advanced support parameters is determined, and the change trend data is analyzed, so as to evaluate rationality of the corresponding advanced support parameters.
Optionally, in some embodiments, step S13 above includes:
acquiring a safety monitoring threshold value and a monitoring parameter weight of a preset supporting component;
determining safety coefficient data of a preset supporting part according to the transformation trend data and the safety monitoring threshold value;
and determining the change trend of the safety coefficient according to the safety coefficient data and the monitoring parameter weight.
For example, in this embodiment, the preset supporting components include a plurality of preset supporting components, and based on the monitored parameter weights and the safety coefficient data of each preset supporting component, the safety coefficient data of each supporting component is weighted and averaged, so as to obtain the variation trend of the safety coefficient. By way of example, the monitoring parameter weight is determined by the influence degree of each parameter on the stability of the roadway, and the anchor rod safety coefficient weight w 1 Taking 0.2 of the weight w of the anchor cable safety coefficient 2 Taking 0.3, surrounding rock deformation safety coefficient w 3 Taking 0.4 and taking 0.1 as a stress safety coefficient of the bracket. The safety factor is determined based on the following calculation formula:
wherein C is i Safety factor for the ith monitored parameter, w i And the safety coefficient weight of the ith monitoring parameter.
And S14, determining the change trend of the safety coefficient of the preset supporting part according to the change trend data.
For example, in this embodiment, the change trend of the safety coefficient of the preset supporting component may be determined according to the stress condition of the preset supporting component and the monitoring threshold of the preset supporting component. For example, the preset supporting component is an anchor rod, stress change data of the anchor rod is determined through change trend data, the maximum stress threshold value of the anchor rod is obtained, the ratio of the stress change data to the maximum stress threshold value is used as the safety coefficient of the anchor rod, and therefore the safety coefficient change trend of the anchor rod along with the change of the position of the working surface is obtained.
Optionally, in some embodiments, step S14 includes:
according to the advanced support parameters, determining the support position and the support type of a preset support part in the engineering geological model;
according to engineering mine pressure data, supporting positions and supporting types, determining stress change data of a preset supporting component;
and generating transformation trend data according to the stress change data.
In this embodiment, the support position and support type of the preset support component in the engineering geological model are determined based on the advanced support parameter, and then stress change analysis is performed on the preset support component according to the engineering geological model, so as to generate change trend data of the preset support component in the engineering geological model.
And S15, generating an advanced support range according to the change trend of the safety coefficient.
For example, according to the change trend of the safety coefficient, a first engineering position in the engineering geological model, where the safety coefficient of the current preset supporting component is reduced, so that the safety in the mine channel begins to be reduced, and a corresponding second engineering position when the safety coefficient is reduced below a preset safety threshold are determined. The second engineering position corresponding to the preset safety threshold is an engineering position in the engineering geological model, where engineering accidents are about to occur, based on the currently preset supporting parts. And taking the range of the first engineering position and the second engineering position as the advance support range needing advance support.
Optionally, in some embodiments, step S15 includes:
acquiring a first transformation position and a second transformation position from the safety coefficient change trend, wherein the first transformation position is a corresponding engineering geological position when the safety coefficient starts to be reduced, and the second transformation position is a corresponding engineering geological position when the safety coefficient is smaller than a set safety coefficient threshold value;
and determining the range from the first transformation position to the second transformation position as a advance support range.
For example, in this embodiment, the safety factor is set to S, and whether advance support is needed at the corresponding engineering geological location is determined according to the S value. And setting the safety coefficient threshold corresponding to the S value to be 0.5. And determining a first transformation position corresponding to the beginning of the reduction of the S value in the engineering to model and a second transformation position corresponding to the S value smaller than 0.5 according to the variation trend of the S value, and taking the range between the first transformation position and the second transformation position in the engineering geological model as the advance support range. For example, if the S value of the monitoring section of the position of the advance working 100m is greater than 0.5 and the S value of the position of the advance working 110m is less than 0.5, the advance support is basically required in the range of the advance working surface 100 m-110 m.
According to the technical scheme, the engineering geological model is constructed according to the received engineering geological parameters and the advanced support parameters, working face ore pressure rule analysis is conducted on the engineering geological model to generate engineering ore pressure data, transformation trend data of the preset support component along with the position of the working face is determined according to the engineering ore pressure data and the advanced support parameters, safety coefficient change trend of the preset support component is determined according to the transformation trend data, and an advanced support range is generated according to the safety coefficient change trend. Therefore, the advanced support range in the mine channel is determined through data simulation and multiple data analysis, the accuracy of the advanced support range is improved, and the safety in the mine channel is ensured.
Fig. 2 is a schematic diagram of a method for determining a scope of advance support according to an exemplary embodiment, and as shown in fig. 2, the method is applied to a terminal, and includes the following steps.
The method comprises engineering geological model construction, multi-means comprehensive research, multi-parameter monitoring evaluation and advanced support range quantitative design. The engineering geological model comprises working face arrangement, geological conditions, supporting parameters and stoping speed, and basic data are provided for multi-parameter comprehensive analysis. The multi-means comprehensive research comprises mining pressure monitoring analysis, three-dimensional numerical simulation analysis and three-dimensional model test analysis, and mutual verification and supplement functions are achieved among the means.
For example, in some embodiments, three-dimensional numerical simulation and three-dimensional model trial analysis are two common means of studying the mining pressure law of a working surface, and mining pressure data, such as mining pressures and displacements at various positions of the working surface, which are difficult to monitor on site, are obtained. For numerical simulation analysis, engineering data and geological data are input into numerical simulation software to establish a numerical calculation model, and then calculation is performed to obtain desired data. For three-dimensional model test analysis, firstly, similar material proportioning is carried out according to on-site engineering geology, on-site engineering is scaled into a test frame, on-site construction process is reduced, ore pressure data is obtained, on-site monitoring and numerical simulation are supplemented and verified.
The multi-parameter monitoring analysis comprises anchor rod stress analysis, anchor rope stress analysis, surrounding rock deformation analysis and support stress analysis, and provides multi-scale reference for advanced support range determination. These parameters are all obtained by installing monitoring equipment on site, for example, the anchor rod/cable stress may be through an anchor rod cable dynamometer, the surrounding rock deformation may be through a convergent ruler, the support stress may be through a hydraulic support pressure gauge, etc. After the data are obtained, the data can be made into curves, and the rationality of the support parameters is evaluated by analyzing the change trend of the data along with the position relation of the working surface.
The quantitative design of the advanced support range comprises the steps of quantitative evaluation index proposal and multi-level analysis model establishment, and the advanced support range is determined through quantitative analysis of multi-parameter monitoring data.
For example, in some embodiments, the monitoring profile of the mine pressure monitoring analysis should be deployed during tunneling, with monitoring equipment having a real-time acquisition transmission function.
For example, in some embodiments, the three-dimensional numerical simulation analysis uses discrete element software for modeling, after the model is built, the calculation is firstly performed by taking the mine pressure monitoring data as a reference, and when the deviation value of the trial calculation result and the mine pressure monitoring result is smaller than the allowable value a, the numerical calculation model is considered to meet the calculation requirement.
For example, the three-dimensional numerical model in this embodiment calculates the same parameters as those obtained by on-site monitoring, such as anchor cable stress, support stress, surrounding rock deformation, surrounding rock pressure, etc., except that the parameters obtained by the numerical model calculation are richer and more comprehensive than those obtained by on-site monitoring, because on-site monitoring is affected by many factors such as stability of monitoring instruments, construction interference, cost, etc. In addition, the term "three-dimensional numerical model" refers to a model that is built by taking mine pressure monitoring data as a reference, and in order to ensure that the built model can fully reflect the site, the results obtained by modeling and the data monitored on site need to be compared, so that the reliability of the three-dimensional numerical modeling results can be ensured, and the address parameters (ground stress, rock mechanical parameters and the like) and engineering parameters (working surface size, roadway position and the like) of the site input by the three-dimensional numerical model
For example, in some embodiments, the established numerical calculation model is adopted to perform numerical operations under conditions of different mining progress, different coal seam thicknesses and the like, and the working face extraction advance influence range is primarily determined by analyzing surrounding rock stress, supporting stress and the like.
For example, in some embodiments, the three-dimensional model test analysis employs a large three-dimensional geomechanical model test system. And the similar material proportion, model body arrangement and test process design are based on engineering geological models, and the obtained results and the numerical simulation and mining pressure monitoring results are mutually verified and analyzed.
For example, in some embodiments, the monitoring parameters in the multi-parameter monitoring analysis are respectively that the anchor rod and the anchor cable take 80% of the yield strength, the surrounding rock deformation threshold takes 90% of the roadway cross-section, and the bracket threshold takes 70% of the bracket bearing capacity.
Illustratively, in some embodiments, the quantitative evaluation index includes a bolt safety factor c1, which represents a ratio of bolt force to a bolt monitoring threshold; the anchor cable safety coefficient c2 represents the ratio of the stress of the anchor cable to the anchor cable monitoring threshold value; the surrounding rock deformation safety coefficient c3 represents the ratio of the area after surrounding rock deformation to the surrounding rock deformation threshold value; and the bracket safety coefficient c4 represents the ratio of the bracket stress to the bracket stress threshold.
For example, in some embodiments, the S value in the multi-level analysis model is calculated by:
wherein C is i Safety factor for the ith monitored parameter, w i And the safety coefficient weight of the ith monitoring parameter.
For example, in some embodiments, the monitoring parameter weight is determined by the influence degree of each parameter on the stability of the roadway, the anchor rod safety coefficient weight w1 is 0.2, the anchor cable safety coefficient weight w2 is 0.3, the surrounding rock deformation safety coefficient w3 is 0.4, and the support stress safety coefficient is 0.1.
For example, in some embodiments, the value of the current monitoring position s is obtained through a multi-level analysis model, when the value of s is greater than 0.5, the range is considered to be seriously affected by the advance of the working surface, and the position enters an advance affected area to be an advance support range. For example, the S value is a basis for evaluating whether advance support is required at a certain monitored location. For example, if the S value of the monitoring section of the position of the advance working 100m is more than 0.5 and the S value of the position of the advance working 110m is less than 0.5, the advance support is basically required in the range of the advance working surface 100 m-110 m.
By the means of comprehensive field monitoring, numerical simulation and model test, a multi-parameter evaluation index and a comprehensive analysis model are established, a novel method is provided for reasonable determination of the advanced support, and accuracy of determination of the advanced support range is improved.
Fig. 3 is a block diagram illustrating an apparatus for determining a scope of advance support according to an exemplary embodiment, and as shown in fig. 3, the apparatus 100 includes: the system comprises a first generation module 110, a second generation module 120, a first determination module 130, a second determination module 140 and an execution module 150.
A first generation module 110, configured to construct an engineering geologic model according to the engineering geologic parameters in response to the received engineering geologic parameters and the advanced support parameters;
the second generation module 120 is configured to perform working face mine pressure rule analysis on the engineering geological model to generate engineering mine pressure data;
the first determining module 130 is configured to determine, according to the engineering mine pressure data and the advanced support parameter, transformation trend data of a preset support component along with a working surface position;
the second determining module 140 is configured to determine a change trend of the safety coefficient of the preset supporting component according to the change trend data;
and the execution module 150 is configured to generate an advanced support range according to the security coefficient variation trend.
Optionally, the second determining module 140 is configured to:
acquiring a safety monitoring threshold value and a monitoring parameter weight of the preset supporting component;
according to the transformation trend data and the safety monitoring threshold value, determining safety coefficient data of the preset supporting component;
and determining the change trend of the safety coefficient according to the safety coefficient data and the monitoring parameter weight.
Optionally, the execution module 150 is configured to:
acquiring a first transformation position and a second transformation position from the safety coefficient change trend, wherein the first transformation position is an engineering geological position corresponding to the safety coefficient when the safety coefficient starts to be reduced, and the second transformation position is an engineering geological position corresponding to the safety coefficient when the safety coefficient is smaller than a set safety coefficient threshold value;
and determining the range from the first transformation position to the second transformation position as the advance support range.
Optionally, the second generating module 120 includes:
the first generation submodule is used for carrying out three-dimensional numerical simulation analysis and three-dimensional model test analysis on the engineering geological model to generate initial engineering ore pressure of the engineering geological model;
the acquisition sub-module is used for acquiring the on-site mine pressure parameters corresponding to the engineering geological model acquired by the preset monitoring equipment;
and the second generation submodule is used for verifying the initial engineering ore pressure based on the on-site ore pressure parameter and generating the engineering ore pressure data.
Optionally, the second generating sub-module is configured to:
if the on-site ore pressure parameter is matched with the initial engineering ore pressure, taking the initial engineering ore pressure as the engineering ore pressure data;
if the field ore pressure parameter is not matched with the initial engineering ore pressure, iteratively modifying a preset verification analysis parameter based on the field ore pressure parameter to generate a target verification parameter;
performing three-dimensional numerical simulation analysis and three-dimensional model test analysis on the engineering geological model based on the target verification parameters to generate target engineering mine pressure;
and if the on-site ore pressure parameter is matched with the target engineering ore pressure, taking the target engineering ore pressure as the engineering ore pressure data.
Optionally, the first determining module 130 is configured to:
according to the advanced support parameters, determining the support position and the support type of the preset support part in the engineering geological model;
determining stress change data of the preset supporting component according to the engineering mine pressure data, the supporting position and the supporting type;
and generating the transformation trend data according to the stress change data.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
Fig. 4 is a block diagram of an electronic device 400, shown in accordance with an exemplary embodiment. As shown in fig. 4, the electronic device 400 may include: a processor 401, a memory 402. The electronic device 400 may also include one or more of a multimedia component 403, an input/output (I/O) interface 404, and a communication component 405.
The processor 401 is configured to control the overall operation of the electronic device 400 to perform all or part of the steps in the method for determining the scope of advance support. The memory 402 is used to store various types of data to support operation at the electronic device 400, which may include, for example, instructions for any application or method operating on the electronic device 400, as well as application-related data, such as contact data, transceived messages, pictures, audio, video, and the like. The Memory 402 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia component 403 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 402 or transmitted through the communication component 405. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 404 provides an interface between the processor 401 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 405 is used for wired or wireless communication between the electronic device 400 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near Field Communication, NFC for short), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or one or a combination of more of them, is not limited herein. The corresponding communication component 405 may thus comprise: wi-Fi module, bluetooth module, NFC module, etc.
In an exemplary embodiment, the electronic device 400 may be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), digital signal processor (Digital Signal Processor, abbreviated as DSP), digital signal processing device (Digital Signal Processing Device, abbreviated as DSPD), programmable logic device (Programmable Logic Device, abbreviated as PLD), field programmable gate array (Field Programmable Gate Array, abbreviated as FPGA), controller, microcontroller, microprocessor, or other electronic component for performing the above-described method of advanced support range determination.
In another exemplary embodiment, a computer readable storage medium is also provided, comprising program instructions which, when executed by a processor, implement the steps of the method of determining a scope of advance support described above. For example, the computer readable storage medium may be the memory 402 including program instructions described above, which are executable by the processor 401 of the electronic device 400 to perform the method of determining the scope of advance support described above.
In another exemplary embodiment, a computer program product is also provided, comprising a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-described method of determining a scope of advanced support when executed by the programmable apparatus.
The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, but the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solutions of the present disclosure within the scope of the technical concept of the present disclosure, and all the simple modifications belong to the protection scope of the present disclosure.
It should be noted that the specific features described in the above embodiments may be combined in any suitable manner, for example, without contradiction. . . . The various possible combinations are not described further in this disclosure in order to avoid unnecessary repetition.
Moreover, any combination between the various embodiments of the present disclosure is possible as long as it does not depart from the spirit of the present disclosure, which should also be construed as the disclosure of the present disclosure.

Claims (10)

1. A method for determining a scope of advance support, the method comprising:
responding to the received engineering geological parameters and advanced support parameters, and constructing an engineering geological model according to the engineering geological parameters;
carrying out working face ore pressure rule analysis on the engineering geological model to generate engineering ore pressure data;
according to the engineering mine pressure data and the advanced support parameters, determining transformation trend data of a preset support component along with the position of a working surface;
according to the transformation trend data, determining the safety coefficient change trend of the preset supporting component;
and generating an advanced support range according to the safety coefficient change trend.
2. The method according to claim 1, wherein determining a safety factor change trend of the preset support member according to the change trend data comprises:
acquiring a safety monitoring threshold value and a monitoring parameter weight of the preset supporting component;
according to the transformation trend data and the safety monitoring threshold value, determining safety coefficient data of the preset supporting component;
and determining the change trend of the safety coefficient according to the safety coefficient data and the monitoring parameter weight.
3. The method of claim 1, wherein the generating the advance support range according to the safety factor variation trend comprises:
acquiring a first transformation position and a second transformation position from the safety coefficient change trend, wherein the first transformation position is an engineering geological position corresponding to the safety coefficient when the safety coefficient starts to be reduced, and the second transformation position is an engineering geological position corresponding to the safety coefficient when the safety coefficient is smaller than a set safety coefficient threshold value;
and determining the range from the first transformation position to the second transformation position as the advance support range.
4. The method of claim 1, wherein said performing a face pressure law analysis on said engineering geologic model to generate engineering pressure data comprises:
performing three-dimensional numerical simulation analysis and three-dimensional model test analysis on the engineering geological model to generate initial engineering ore pressure of the engineering geological model;
acquiring on-site mine pressure parameters corresponding to the engineering geological model acquired by preset monitoring equipment;
and verifying the initial engineering ore pressure based on the on-site ore pressure parameter to generate the engineering ore pressure data.
5. The method of claim 4, wherein verifying the initial engineering mine pressure based on the in-situ mine pressure parameter generates the engineering mine pressure data, comprising:
if the on-site ore pressure parameter is matched with the initial engineering ore pressure, taking the initial engineering ore pressure as the engineering ore pressure data;
if the field ore pressure parameter is not matched with the initial engineering ore pressure, iteratively modifying a preset verification analysis parameter based on the field ore pressure parameter to generate a target verification parameter;
performing three-dimensional numerical simulation analysis and three-dimensional model test analysis on the engineering geological model based on the target verification parameters to generate target engineering mine pressure;
and if the on-site ore pressure parameter is matched with the target engineering ore pressure, taking the target engineering ore pressure as the engineering ore pressure data.
6. The method of claim 1, wherein determining the transformation trend data of the preset support member along with the working surface position according to the engineering mine pressure data and the advanced support parameter comprises:
according to the advanced support parameters, determining the support position and the support type of the preset support part in the engineering geological model;
determining stress change data of the preset supporting component according to the engineering mine pressure data, the supporting position and the supporting type;
and generating the transformation trend data according to the stress change data.
7. A device for determining the scope of advance support, the device comprising:
the first generation module is used for responding to the received engineering geological parameters and the received advanced support parameters and constructing an engineering geological model according to the engineering geological parameters;
the second generation module is used for carrying out working face ore pressure rule analysis on the engineering geological model so as to generate engineering ore pressure data;
the first determining module is used for determining transformation trend data of the preset supporting component along with the position of the working surface according to the engineering mine pressure data and the advanced supporting parameters;
the second determining module is used for determining the safety coefficient change trend of the preset supporting component according to the change trend data;
and the execution module is used for generating an advanced support range according to the safety coefficient change trend.
8. The apparatus of claim 7, wherein the second determining module is configured to:
acquiring a safety monitoring threshold value and a monitoring parameter weight of the preset supporting component;
according to the transformation trend data and the safety monitoring threshold value, determining safety coefficient data of the preset supporting component;
and determining the change trend of the safety coefficient according to the safety coefficient data and the monitoring parameter weight.
9. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the program when executed by a processor implements the steps of the method of determining a scope of advanced support as claimed in any one of claims 1-6.
10. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of determining a scope of advance support as claimed in any one of claims 1-6.
CN202311597903.8A 2023-11-27 2023-11-27 Method and device for determining advanced support range, electronic equipment and storage medium Pending CN117852123A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311597903.8A CN117852123A (en) 2023-11-27 2023-11-27 Method and device for determining advanced support range, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311597903.8A CN117852123A (en) 2023-11-27 2023-11-27 Method and device for determining advanced support range, electronic equipment and storage medium

Publications (1)

Publication Number Publication Date
CN117852123A true CN117852123A (en) 2024-04-09

Family

ID=90533242

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311597903.8A Pending CN117852123A (en) 2023-11-27 2023-11-27 Method and device for determining advanced support range, electronic equipment and storage medium

Country Status (1)

Country Link
CN (1) CN117852123A (en)

Similar Documents

Publication Publication Date Title
Miro et al. A probabilistic analysis of subsoil parameters uncertainty impacts on tunnel-induced ground movements with a back-analysis study
Li et al. Efficient 3-D reliability analysis of the 530 m high abutment slope at Jinping I Hydropower Station during construction
CN109740119B (en) Rapid estimation method for uniaxial compressive strength of surrounding rock of TBM tunneling tunnel
CN105528648A (en) Dynamic production prediction method and device of fracture-cavity unit
Yang et al. A no-tension elastic–plastic model and optimized back-analysis technique for modeling nonlinear mechanical behavior of rock mass in tunneling
Gholamnejad et al. Prediction of the deformation modulus of rock masses using Artificial Neural Networks and Regression methods
CN112833807A (en) Surrounding rock deformation monitoring method and prediction method suitable for double-shield TBM
Idris et al. Probabilistic analysis of open stope stability using numerical modelling
Wu et al. A modified optimization algorithm for back analysis of properties for coupled stress-seepage field problems
KR20220153338A (en) Blasting management system for analysis of vibration and fragmentation caused by blasting
CN117852123A (en) Method and device for determining advanced support range, electronic equipment and storage medium
CN115688428B (en) Method, device and equipment for calculating explosive quantity critical value of blasting near zone supporting structure
Abdellah et al. Geotechnical risk assessment of mine development intersections with respect to mining sequence
CN114580143B (en) Dynamic prediction method and related device for water inflow of mine
Mark The science of empirical design in mining rock mechanics
CN115271366A (en) Plateau tunnel surrounding rock classification model training method, device, equipment and medium
Elmo et al. The importance of intact rock bridges in the stability of high rock slopes-towards a quantitative investigation using an integrated numerical modelling; discrete fracture network approach
CN114547746A (en) Discrete element method and system for simulating creep instability of roadway surrounding rock
CN114329935A (en) Method and device for testing three-dimensional mining stress of surrounding rock of coal mine tunnel
Gkikas et al. Longitudinal Deformation Profiles for Sequentially Supported Deep Tunnels in Strain-Softening Hoek–Brown Rock Mass
CN112100796A (en) Drilling track determination method and device for preventing casing in shale gas well from being damaged
Valerio et al. Improving bench design through discrete fracture network analysis
CN114676646B (en) Intelligent early warning method, device and equipment for side slope and readable storage medium
CN115497266B (en) Safety early warning method and device for mining area underground reservoir dam body and safety early warning system
CN115639604B (en) Quantitative analysis method and system for underground cavern deep and shallow layer surrounding rock damage

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination