High-temperature mine tunneling working face temperature field prediction and regulation method and related equipment
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUNAN UNIV OF SCI & TECH
- Filing Date
- 2026-05-09
- Publication Date
- 2026-06-09
AI Technical Summary
Existing technologies are insufficient for unified modeling and linkage analysis of the coupled heat transfer process between the surrounding rock, airflow and insulation layer in high-temperature mine tunneling faces, resulting in inaccurate temperature field predictions, unreasonable determination of control conditions and insufficient control reliability.
A multidimensional coupled temperature field model is constructed to obtain parameters of surrounding rock, ventilation, and insulation. The heat conduction relationship of the surrounding rock region, the flow heat transfer relationship of the roadway airflow region, and the heat conduction relationship of the insulation layer region are established. The heat transfer coupling relationship between the three regions is determined, thus forming a multidimensional coupled temperature field model.
It enables precise prediction and control of the temperature field in high-temperature mine tunneling faces, improving the targeting and accuracy of control, and enhancing the prediction accuracy and responsiveness of the thermal environment.
Smart Images

Figure CN122174512A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of intelligent prediction, and in particular to a method, device, electronic device and storage medium for predicting and controlling the temperature field of a high-temperature mine tunneling face. Background Technology
[0002] As mining depths increase, the problem of high-temperature heat hazards in deep mines becomes increasingly prominent. Particularly in tunneling face scenarios, the initial temperature of the surrounding rock is high, and after tunnel excavation, the high-temperature surrounding rock continuously dissipates heat into the airflow, easily leading to temperature increases and thermal environment deterioration in the working face area. Meanwhile, the tunneling face is typically located at the end of the ventilation system, and its temperature field distribution exhibits significant complexity and dynamic changes due to various factors such as the arrangement of ventilation ducts, the distance between the ducts and the tunneling face, the inlet air temperature, the inlet air velocity, and insulation measures. Therefore, research on temperature field prediction and control focusing on the heat transfer relationship between the surrounding rock, airflow, and insulation layer at the tunneling face is of great significance for mine heat hazard management.
[0003] In existing technologies, the control of the thermal environment of high-temperature mine tunneling faces typically focuses on adjusting single ventilation parameters or applying single insulation measures, lacking a technical solution for the unified acquisition and comprehensive analysis of surrounding rock parameters, ventilation parameters, and insulation parameters. Furthermore, existing technologies often struggle to systematically model and predict the temperature field of the target tunneling face based on the coupling relationship between surrounding rock heat dissipation, airflow heat transfer, and insulation layer heat conduction. This results in difficulties in accurately obtaining key temperature field characteristics such as the heat regulation zone, airflow within the tunnel, tunnel outlet air temperature, and tunnel wall temperature gradient. Due to the lack of a processing mechanism for condition assessment and control decisions based on temperature field characteristics, existing technologies suffer from insufficient targeting, unreasonable parameter configuration, and unstable control effects in optimizing the thermal environment of tunneling faces.
[0004] To address the aforementioned issues, this application proposes a method for predicting and controlling the temperature field of high-temperature mine tunneling faces. By acquiring surrounding rock parameters, ventilation parameters, and insulation parameters, a multi-dimensional coupled temperature field model of the target tunneling face is constructed. Based on current operating data, the corresponding temperature field characteristics are obtained. Furthermore, the target control conditions are determined, and corresponding control commands are output. This technical solution integrates surrounding rock, airflow, and insulation layers into a unified temperature field analysis framework, enabling the prediction and control of the thermal environment of the tunneling face. This solves the problems of incomplete temperature field analysis, insufficient control basis, and inaccurate determination of control conditions in existing technologies. Summary of the Invention
[0005] This invention provides a method for predicting and controlling the temperature field of a high-temperature mine tunneling face, which solves the problems in the prior art where it is difficult to uniformly model and analyze the coupled heat transfer process between the surrounding rock, airflow and insulation layer, resulting in inaccurate temperature field prediction results, unreasonable determination of control conditions and insufficient control reliability.
[0006] In a first aspect, embodiments of the present invention provide a method for predicting and controlling the temperature field of a high-temperature mine tunneling face, the method comprising the following steps: Obtain the basic parameters of the target tunneling face, including surrounding rock parameters, ventilation parameters, and thermal insulation parameters; Based on the aforementioned basic parameters, a multidimensional coupled temperature field model of the target tunneling face is constructed. Based on the multidimensional coupled temperature field model, the current operating condition data corresponding to the basic parameters are processed to obtain the corresponding temperature field characteristic results; Based on the temperature field characteristics, the target control conditions for the target tunneling face are determined. Based on the target control condition, the corresponding control command is output.
[0007] Optionally, constructing the multidimensional coupled temperature field model of the target tunneling face based on the basic parameters includes: Based on the surrounding rock parameters, ventilation parameters, and thermal insulation parameters, a roadway geometric model of the target tunneling face is constructed. Based on the aforementioned tunnel geometry model, the surrounding rock region, tunnel airflow region, and insulation layer region are determined. Based on the surrounding rock parameters, the heat conduction relationship of the surrounding rock area is established; Based on the ventilation parameters, the flow and heat transfer relationship of the airflow area in the tunnel is established; Based on the aforementioned insulation parameters, the thermal conductivity relationship of the insulation layer region is established; Based on the thermal conduction relationship of the surrounding rock region, the flow heat transfer relationship of the roadway airflow region, and the thermal conductivity relationship of the insulation layer region, the heat transfer coupling relationship between the three regions is determined. Based on the aforementioned heat transfer coupling relationship, the multidimensional coupled temperature field model is constructed.
[0008] Optionally, determining the heat transfer coupling relationship between the three regions based on the thermal conduction relationship of the surrounding rock region, the flow heat transfer relationship of the roadway airflow region, and the thermal conductivity relationship of the insulation layer region includes: Determine the thermal conductivity coupling relationship between the surrounding rock region and the insulation layer region; Determine the heat exchange coupling relationship between the insulation layer area and the airflow area of the tunnel; Based on the aforementioned thermal conduction coupling relationship, heat transfer coupling relationship, and the heat transfer sequence between the surrounding rock area, the insulation layer area, and the roadway airflow area, a coupled heat transfer path between the three areas is established. Based on the coupled heat transfer path, the heat transfer coupling relationship between the three regions is determined.
[0009] Optionally, establishing a coupled heat transfer path between the three regions based on the thermal conduction coupling relationship, the heat transfer coupling relationship, and the heat transfer sequence between the surrounding rock region, the insulation layer region, and the roadway airflow region includes: Establish a heat conduction path within the surrounding rock area from the high-temperature region to the adjacent insulation layer region; Establish a heat transfer path at the interface between the surrounding rock area and the insulation layer area; Establish a heat transfer path within the insulation layer area from the side closest to the surrounding rock to the side closest to the airflow area of the tunnel; Establish a heat transfer path at the interface between the insulation layer area and the airflow area of the tunnel. The heat conduction path inside the surrounding rock area, the heat transfer path at the interface between the surrounding rock area and the insulation layer area, the heat transfer path inside the insulation layer area, and the heat transfer path at the interface between the insulation layer area and the roadway airflow area are sequentially associated to obtain the coupled heat transfer path between the three areas.
[0010] Optionally, constructing the multidimensional coupled temperature field model based on the heat transfer coupling relationship includes: Based on the surrounding rock region, the tunnel airflow region, and the insulation layer region, the tunnel geometric model is divided into regions, and the region division results are determined. Based on the surrounding rock parameters, ventilation parameters, and thermal insulation parameters, parameter values are assigned to each of the divided areas to determine the area parameters; Based on the heat transfer coupling relationship, inter-regional heat transfer boundary conditions are set for the surrounding rock region, the roadway airflow region, and the insulation layer region, and the boundary conditions are determined. Based on the region division results, region parameters, and boundary conditions, the roadway geometric model is optimized by mesh division to obtain the multidimensional coupled temperature field model.
[0011] Optionally, the step of processing the current operating condition data corresponding to the basic parameters based on the multidimensional coupled temperature field model to obtain the corresponding temperature field characteristic results includes: Input the current operating condition data corresponding to the basic parameters into the multidimensional coupled temperature field model to obtain the temperature distribution results; Based on the temperature distribution results, the regional temperature characteristics corresponding to the surrounding rock area, the tunnel airflow area and the insulation layer area are extracted to obtain the regional characteristic results. Based on the regional feature results, the corresponding temperature field feature results are determined.
[0012] Optionally, based on the temperature distribution results, the regional temperature characteristics corresponding to the surrounding rock area, the tunnel airflow area, and the insulation layer area are extracted to obtain regional characteristic results, including: Based on the temperature distribution results corresponding to the surrounding rock area, the range of the heating zone and the temperature gradient of the roadway wall are extracted to obtain the characteristics of the surrounding rock area. Based on the temperature distribution results corresponding to the airflow area in the tunnel, the airflow temperature distribution in the tunnel and the air temperature at the tunnel exit are extracted to obtain the characteristics of the airflow area. Based on the temperature distribution results corresponding to the insulation layer region, the temperature difference between the inner and outer walls of the insulation layer and the temperature distribution of the insulation layer are extracted to obtain the characteristics of the insulation layer region. Based on the characteristics of the surrounding rock area, the characteristics of the airflow area, and the characteristics of the insulation layer area, the regional characteristics are determined.
[0013] Secondly, embodiments of the present invention also provide a device for predicting and controlling the temperature field of a high-temperature mine tunneling face, the device comprising: The first acquisition module is used to acquire the basic parameters of the target tunneling face, including surrounding rock parameters, ventilation parameters, and thermal insulation parameters; The first construction module is used to construct a multidimensional coupled temperature field model of the target tunneling face based on the basic parameters. The first processing module is used to process the current operating condition data corresponding to the basic parameters based on the multidimensional coupled temperature field model to obtain the corresponding temperature field feature results. The first determining module is used to determine the target control conditions of the target tunneling face based on the temperature field characteristics. The first output module is used to output corresponding control commands based on the target control condition.
[0014] Thirdly, embodiments of the present invention provide an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps in the method for predicting and controlling the temperature field of a high-temperature mine tunneling face provided in embodiments of the present invention.
[0015] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, it implements the steps in the method for predicting and controlling the temperature field of a high-temperature mine tunneling face provided in the embodiments of the present invention.
[0016] In this embodiment of the invention, basic parameters of the target tunneling face are obtained, including surrounding rock parameters, ventilation parameters, and thermal insulation parameters. Based on these basic parameters, a multidimensional coupled temperature field model of the target tunneling face is constructed. Based on the multidimensional coupled temperature field model, the current working condition data corresponding to the basic parameters is processed to obtain corresponding temperature field characteristic results. Based on the temperature field characteristic results, the target control condition of the target tunneling face is determined. Based on the target control condition, corresponding control commands are output. Through this method, the temperature field of a high-temperature mine tunneling face can be predicted and analyzed, and a corresponding control scheme can be generated based on the temperature field characteristic results, thereby improving the pertinence and accuracy of temperature field control and enhancing the prediction accuracy and responsiveness of the thermal environment of the tunneling face. Attached Figure Description
[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 This is a flowchart of a method for predicting and controlling the temperature field of a high-temperature mine tunneling face, provided by an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of a high-temperature mine tunneling face temperature field prediction and control device provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention; Detailed Implementation The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0019] like Figure 1 As shown, Figure 1 This is a flowchart of a method for predicting and controlling the temperature field of a high-temperature mine tunneling face, provided by an embodiment of the present invention. The method includes the following steps: 101. Obtain the basic parameters of the target tunneling face.
[0020] In this embodiment of the invention, the above-mentioned method for predicting and controlling the temperature field of a high-temperature mine tunneling face can be applied to the above-mentioned platform for predicting and controlling the temperature field of a high-temperature mine tunneling face. The platform has functions such as data processing for predicting and controlling the temperature field of a high-temperature mine tunneling face, data transmission and reception for predicting and controlling the temperature field of a high-temperature mine tunneling face, and data memory and storage for predicting and controlling the temperature field of a high-temperature mine tunneling face. It can be built based on a server or server cluster. The server or server cluster can be an electronic device with the capability to process data for predicting and controlling the temperature field of a high-temperature mine tunneling face.
[0021] The aforementioned target tunneling face refers to the underground tunneling operation area requiring temperature field prediction and control analysis. It is typically located at the end of the mine ventilation system, where the surrounding rock has a high heat dissipation intensity, and the airflow undergoes heat exchange along its path before reaching this area, thus making it more prone to high-temperature heat hazard conditions. Specifically, the aforementioned target tunneling face can correspond to an actual tunneling face in a high-temperature mine, or it can correspond to a target roadway section used for numerical analysis. For example, the tunneling face area corresponding to a circular roadway cross-section can be used as the analysis object, and further data on the surrounding rock, airflow, and insulation layer can be obtained around this area to provide input for subsequent temperature field modeling.
[0022] The aforementioned basic parameters refer to the initial data set used to characterize the current thermal environment and heat transfer conditions of the target tunneling face, and may include at least surrounding rock parameters, ventilation parameters, and insulation parameters. Specifically, the surrounding rock parameters may include initial surrounding rock temperature, thermal conductivity, etc., reflecting the basic conditions for the surrounding rock's heat storage capacity and heat transfer to the roadway side; the ventilation parameters may include the ventilation duct laying method, the distance between the ventilation duct and the tunneling face, the ventilation duct inlet air temperature, and the inlet air velocity, reflecting the heat exchange conditions between the airflow and the surrounding rock; and the insulation parameters may include the insulation material laying method, the insulation material's thermal conductivity, and the laying thickness, reflecting the insulation layer's ability to block heat dissipation from the surrounding rock. For example, the initial temperature of the surrounding rock can be 35℃~50℃, the thermal conductivity of the surrounding rock can be 0.50~4.50 W / (m·K), the inlet wind velocity of the ventilation duct can be 6 m / s~12 m / s, the inlet wind temperature of the ventilation duct can be 16℃~22℃, and the ventilation duct can be laid in a side-wall fixed, hanging or central type.
[0023] More specifically, the aforementioned surrounding rock parameters can be understood as a set of parameters characterizing the thermal state and heat transfer capacity of the rock mass surrounding the target tunneling face. These parameters reflect the fundamental conditions for the surrounding rock to release heat into the tunnel and influence the evolution trend of the temperature field. They may include, but are not limited to, parameters such as the initial temperature and thermal conductivity of the surrounding rock. The initial temperature characterizes the original thermal state of the rock mass before tunnel excavation, and in deep, high-temperature mine scenarios, it can range from 35°C to 50°C. The thermal conductivity characterizes the heat transfer capacity within the rock mass, and its magnitude is influenced by factors such as lithology, mineral composition, porosity, water content, and geostress, and can range from 0.50 W / (m·K) to 4.50 W / (m·K). It should be noted that the higher the thermal conductivity, the stronger the ability of heat to migrate from the deep rock mass to the tunnel side, the more significant the heat dissipation effect of the surrounding rock, and the larger the range of the heat regulation zone formed around the tunnel.
[0024] The aforementioned ventilation parameters can be understood as a set of parameters characterizing the airflow organization and heat exchange conditions at the target tunneling face, reflecting the flow state, heat exchange intensity, and cooling effect of fresh airflow after entering the tunneling face. These ventilation parameters may include, but are not limited to, the ventilation duct laying method, the distance between the ventilation duct and the tunneling face, the inlet air temperature, and the inlet air velocity. Specifically, the ventilation duct laying method can be side-wall fixed, suspended, or central; different laying methods will change the airflow distribution within the roadway and its contact with the high-temperature surrounding rock. The distance between the ventilation duct and the tunneling face characterizes the relative arrangement between the air outlet and the tunneling head; changes in this distance affect the path length of the airflow to the working face and the heat absorption process. The inlet air temperature and inlet air velocity characterize the temperature and velocity conditions of the airflow entering the roadway, respectively. For example, the inlet air velocity can be selected within the range of 6 m / s to 12 m / s, and the inlet air temperature can be selected within the range of 16℃ to 22℃. Therefore, ventilation parameters can be used to determine the heat exchange capacity of the airflow in the tunnel to the surrounding rock surface and the changes in the air temperature at the tunnel exit.
[0025] The aforementioned thermal insulation parameters can be understood as a set of parameters characterizing the structural characteristics and heat-insulating capacity of the thermal insulation layer installed between the surrounding rock and the airflow in the target tunneling face. These parameters may include, but are not limited to, the method of laying the thermal insulation material, the thermal conductivity of the thermal insulation material, and the thickness of the thermal insulation material. The method of laying the thermal insulation material can involve different support-material combination structures. The thermal conductivity of the thermal insulation material characterizes the heat transfer capacity within the thermal insulation layer; the lower the thermal conductivity, the greater the thermal resistance of the thermal insulation layer, and the more significant the inhibition of heat release from the surrounding rock into the tunnel. The thickness of the thermal insulation material characterizes the scale of the thermal insulation layer on the surface of the surrounding rock; as the thickness increases, the heat diffusion range decreases, and the temperature at the tunnel exit section also decreases accordingly. It should be noted that after the thermal insulation layer is laid, the heat flow no longer involves direct and intense heat exchange between the surrounding rock and the airflow, but rather sequentially conducts heat through the surrounding rock, conducts heat through the thermal insulation layer, and finally convects into the airflow. Therefore, the aforementioned thermal insulation parameters are also important inputs for subsequently constructing a multidimensional coupled temperature field model.
[0026] In one possible embodiment, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can collect and organize the basic parameters of the target tunneling face based on the target mine's design data, ventilation operation data, geological survey data, and insulation layer construction data, forming a parameter input set corresponding to the current tunneling conditions. This can be achieved by acquiring geometric and layout data such as tunnel cross-sectional shape, tunnel dimensions, ventilation duct diameter, ventilation duct length, and ventilation duct laying location; surrounding rock thermal data such as initial surrounding rock temperature and surrounding rock thermal conductivity; ventilation operation data such as inlet air temperature and inlet air velocity; and insulation data such as insulation material laying method, thermal conductivity, and laying thickness.
[0027] For mines with existing on-site monitoring capabilities, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can directly receive data uploaded by monitoring terminals. For working conditions where an online monitoring link has not yet been established, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can also receive manually entered design values, test values, or experience values as basic parameters.
[0028] Through the above methods and steps, the input data obtained by the temperature field prediction and control platform for high-temperature mine tunneling faces can simultaneously cover the surrounding rock heat dissipation conditions, airflow heat exchange conditions, and thermal insulation conditions, so that the temperature field model subsequently constructed can maintain a correspondence with the actual tunneling conditions, reduce the temperature field prediction deviation caused by missing parameters or a single parameter source, and provide a data basis for determining the target control conditions.
[0029] 102. Based on the basic parameters, construct a multidimensional coupled temperature field model of the target tunneling face.
[0030] In this embodiment of the invention, the aforementioned multidimensional coupled temperature field model can be understood as a temperature field analysis model used to characterize the heat transfer and exchange relationships between the surrounding rock, tunnel airflow, and insulation layer in the target tunneling face. Specifically, the basic parameters can be mapped to the spatial structure, heat transfer relationships, and boundary conditions of the target tunneling face to form a solvable model object. The aforementioned high-temperature mine tunneling face temperature field prediction and control platform can establish a tunnel geometric foundation corresponding to the target working condition based on surrounding rock parameters, ventilation parameters, and insulation parameters, and then divide this geometric foundation into a surrounding rock region, a tunnel airflow region, and an insulation layer region. The surrounding rock region is used to carry thermal information such as the initial temperature and thermal conductivity of the surrounding rock; the tunnel airflow region is used to carry ventilation information such as the ventilation duct laying method, the distance between the ventilation duct and the tunneling face, the ventilation duct inlet air temperature, and the inlet air velocity; and the insulation layer region is used to carry thermal resistance information such as the insulation material laying method, the insulation material thermal conductivity, and the laying thickness. Through the above division, the temperature field analysis object is transformed from a single tunnel model into a multi-region coupled model with regional attribute differences.
[0031] Furthermore, when constructing the aforementioned multidimensional coupled temperature field model, the high-temperature mine tunneling face temperature field prediction and control platform can establish a roadway geometric model according to the structural dimensions of the target tunneling face. For example, the roadway can be modeled with a circular cross-section, the surrounding rock calculation area can be set as a three-dimensional region covering the roadway, the roadway body is located at the center of the surrounding rock, the ventilation duct is arranged inside the roadway along its length, and the insulation layer is located at the interface between the surrounding rock and the roadway airflow. Using a circular cross-section can better reflect the symmetrical characteristics of the target tunneling face in radial heat transfer analysis, and also facilitates subsequent analysis of the surrounding rock temperature gradient and heat regulation zone evolution. After this type of geometric model is established, the high-temperature mine tunneling face temperature field prediction and control platform can further identify and determine the boundary ranges of the surrounding rock region, the roadway airflow region, and the insulation layer region, forming a region division model.
[0032] In constructing the surrounding rock area, the focus can be on the primary heat source: heat dissipation from the surrounding rock. The aforementioned high-temperature mine tunneling face temperature field prediction and control platform can input the initial temperature and thermal conductivity of the surrounding rock within the surrounding rock area, and establish the internal heat conduction relationship based on the isotropic and thermophysically stable properties of the surrounding rock. Taking deep high-temperature mine conditions as an example, when the initial temperature of the surrounding rock is higher than the airflow temperature within the roadway, a heat conduction process will occur within the surrounding rock, diffusing from the high-temperature region to the low-temperature boundary. The higher the thermal conductivity of the surrounding rock, the stronger the ability to transfer heat to the roadway side, and the larger the corresponding temperature disturbance range. Therefore, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can establish a heat conduction sub-model in the surrounding rock area where temperature distribution varies with spatial location.
[0033] In constructing the airflow region of the tunnel, the focus can be on airflow heat transfer conditions. The aforementioned high-temperature mine tunneling face temperature field prediction and control platform can incorporate ventilation parameters such as the ventilation duct laying method, the distance between the ventilation duct and the tunneling face, and the inlet air temperature and velocity within the tunnel airflow region, and establish the relationship between airflow and boundary heat transfer. Taking the ventilation duct laying method as an example, sidewall-fixed, suspended, and centrally-mounted ducts will create different flow field organization patterns; taking the distance between the ventilation duct and the tunneling face as an example, changes in this distance will affect the time it takes for the airflow to reach the working face and the range of contact with the high-temperature boundary; taking the inlet air temperature and inlet velocity as an example, both jointly determine the airflow's heat absorption capacity on the solid boundary. Therefore, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can establish a flow heat transfer sub-model in the tunnel airflow region that is adapted to the ventilation organization state.
[0034] The construction of the insulation layer region can be based on the heat-blocking process. The aforementioned high-temperature mine tunneling face temperature field prediction and control platform can input the insulation material laying method, thermal conductivity, and thickness within the insulation layer region, and establish the internal thermal conductivity relationship of the insulation layer. When the thermal conductivity is low, the internal thermal resistance of the insulation layer is high, and the rate at which heat is released from the insulation layer to the roadway airflow side decreases. As the thickness increases, the heat transfer path lengthens, further restricting the process of heat release from the surrounding rock to the airflow area. Therefore, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can construct the insulation layer region as an intermediate heat-blocking layer located between the surrounding rock region and the roadway airflow region, and establish a heat transfer relationship combining conduction and heat exchange between this region and the regions on both sides.
[0035] After inputting parameters for the three regions, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can further establish coupling relationships between the regions. A thermal conduction coupling relationship can be established between the surrounding rock region and the insulation layer region to characterize the interfacial behavior of heat transfer from the surrounding rock to the insulation layer side; a heat transfer coupling relationship can be established between the insulation layer region and the roadway airflow region to characterize the heat exchange behavior between the outer surface of the insulation layer and the airflow. In the case of no insulation layer, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can also directly establish a heat transfer coupling relationship between the surrounding rock region and the roadway airflow region. Through this method, the heat transfer sequence within the model is clearly defined as surrounding rock heat conduction, insulation layer heat conduction, and airflow heat transfer, or surrounding rock heat conduction and airflow heat transfer, thus enabling the model to perform unified analysis of different thermal environment conditions.
[0036] In this embodiment, before the aforementioned multidimensional coupled temperature field model is formed, the high-temperature mine tunneling face temperature field prediction and control platform can also apply modeling conditions to the roadway geometry model to ensure the model's feasibility. The modeling conditions that can be triggered at this time can be understood as follows: when the surrounding rock is isotropic and its thermophysical properties are stable, only heat dissipation from the surrounding rock is considered, ignoring other underground heat sources, ignoring the influence of thermal radiation within the roadway, and ensuring that the airflow within the roadway is an incompressible, continuous, and stable turbulent flow.
[0037] Through the above processing, the model solution object is appropriately converged from the real complex downhole environment to an analyzable and calculable thermal environment model object, while retaining the three main factors affecting the temperature field distribution: surrounding rock heat dissipation, airflow heat transfer, and thermal insulation.
[0038] 103. Based on the multidimensional coupled temperature field model, the current operating condition data corresponding to the basic parameters are processed to obtain the corresponding temperature field characteristic results.
[0039] In this embodiment of the invention, the aforementioned current working condition data can be understood as parametric working condition information corresponding to the target tunneling face at the current analysis time. It can be a set of input data formed by surrounding rock parameters, ventilation parameters, and insulation parameters under the current working conditions, used to characterize the actual boundary conditions and heat transfer conditions of the current temperature field analysis object. This may include, but is not limited to, initial surrounding rock temperature, surrounding rock thermal conductivity, ventilation duct laying method, distance between ventilation duct and tunneling face, ventilation duct inlet air temperature, inlet air velocity, insulation material laying method, insulation material thermal conductivity, and insulation material thickness.
[0040] When the temperature field prediction and control platform of the above-mentioned high-temperature mine tunneling face analyzes different working conditions, different combinations of parameters correspond to different current working condition data, thereby enabling the same multidimensional coupled temperature field model to correspond to different temperature field evolution states.
[0041] The aforementioned temperature field characteristic results can be understood as the feature information extracted from the temperature distribution results by the high-temperature mine tunneling face temperature field prediction and control platform after solving the current working condition data based on the multi-dimensional coupled temperature field model. This information characterizes the thermal environment and heat transfer state of the target tunneling face. In other words, it is a set of results reflecting the differences in thermal state among the surrounding rock, airflow, and insulation layer. In this embodiment, the aforementioned temperature field characteristic results may include at least one of the following: heat regulation zone, roadway airflow, roadway outlet air temperature, roadway wall temperature gradient, and insulation layer temperature distribution.
[0042] The aforementioned heat regulation zone characterizes the extent of influence of the original geothermal field of the surrounding rock after thermal disturbance under ventilation and insulation conditions, reflecting the degree of evolution of the temperature field from the surrounding rock side to the roadway perimeter. A larger heat regulation zone indicates a greater extent of heat exchange within the surrounding rock and a more pronounced trend of continuous heat release from the surrounding rock into the roadway. For conditions with insulation layers, if the insulation layer's heat-blocking effect is enhanced, the range of the heat regulation zone typically decreases.
[0043] The aforementioned airflow within the tunnel mainly refers to the temperature distribution along the length and cross-section of the airflow area. It reflects the temperature changes caused by the absorption of heat from the surrounding rock and the outer surface of the insulation layer by the fresh airflow as it enters the target tunneling face. This result allows us to determine the thermal environment level of the airflow at different locations, as well as the impact of the ventilation duct installation method, inlet velocity, and inlet air temperature on the cooling effect of the airflow.
[0044] The aforementioned tunnel outlet air temperature can be understood as the airflow temperature at the outlet location of the target analysis section. It directly reflects the final temperature rise of the airflow after heat absorption along the path under the current working conditions, and is also one of the important results for evaluating the rationality of ventilation and insulation parameter configurations. A lower outlet air temperature indicates that the surrounding rock releases relatively less heat to the airflow, or that the airflow has a stronger heat-carrying capacity, which is more beneficial to improving the thermal environment of the target tunneling face.
[0045] The aforementioned tunnel wall temperature gradient can be understood as the rate of temperature change along the direction near the tunnel boundary on the surrounding rock side, used to characterize the degree of temperature attenuation when heat is transferred from the surrounding rock to the tunnel side. This result can reflect the heat transfer intensity near the wall in the surrounding rock area. The larger the tunnel wall temperature gradient, the more significant the temperature difference between the interior of the surrounding rock and the vicinity of the boundary, and the stronger the driving force for heat dissipation from the surrounding rock. In the case of an insulation layer, the tunnel wall temperature gradient and its distribution can also be used to analyze the blocking effect of the insulation layer on the heat dissipation process of the surrounding rock.
[0046] The temperature distribution of the insulation layer described above can be understood as the temperature distribution within the insulation layer area and at the interfaces on both sides of the insulation layer. This result reflects the heat transfer process inside the insulation layer and the temperature difference between the two sides of the insulation layer. When the thermal conductivity of the insulation material decreases or the laying thickness increases, the temperature difference between the two sides of the insulation layer tends to increase, and the speed at which heat is transferred from the insulation layer to the airflow side slows down, which is beneficial for suppressing the rapid release of heat from the surrounding rock into the roadway airflow.
[0047] In one possible embodiment, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can input the surrounding rock parameters, ventilation parameters, and insulation parameters corresponding to the current analysis condition from the basic parameters into the aforementioned multidimensional coupled temperature field model as the current working condition data. After the input is completed, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can jointly solve the temperature distribution of each region under the current working condition based on the heat conduction relationship of the surrounding rock region, the flow heat transfer relationship of the roadway airflow region, and the heat conduction relationship of the insulation layer region, to obtain the temperature distribution results corresponding to the surrounding rock region, the roadway airflow region, and the insulation layer region. For the surrounding rock area, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can identify the area affected by thermal disturbance based on the surrounding rock temperature distribution results, and determine the heat regulation zone accordingly. Simultaneously, it extracts the temperature changes near the roadway boundary to obtain the roadway wall temperature gradient. For the roadway airflow area, the platform extracts the airflow temperature distribution along the roadway length to obtain the airflow temperature changes within the roadway, and extracts the corresponding temperature value at the outlet section to obtain the roadway outlet air temperature. For the insulation layer area, the platform extracts the internal temperature distribution of the insulation layer and the temperature difference between the side near the surrounding rock and the side near the airflow to obtain the insulation layer temperature distribution results. Subsequently, the platform outputs the heat regulation zone, roadway airflow, roadway outlet air temperature, roadway wall temperature gradient, and insulation layer temperature distribution as the temperature field characteristic results corresponding to the current working condition.
[0048] Through the above methods and steps, the heat dissipation state of the surrounding rock, the heat transfer state of the airflow, and the heat resistance state of the insulation layer under the current working conditions can be quantified simultaneously, providing a basis for determining the target control conditions in the future. This allows the control process to no longer rely solely on a single parameter for judgment, but to be analyzed based on the overall distribution characteristics of the temperature field.
[0049] 104. Based on the temperature field characteristics, determine the target control conditions for the target tunneling face.
[0050] In this embodiment of the invention, the aforementioned target control condition can be understood as a configuration result of the temperature field prediction and control platform for high-temperature mine tunneling faces, obtained by selecting from multiple conditions to be analyzed based on temperature field characteristics. This configuration is used for optimizing and adjusting the temperature field of the target tunneling face, and is a combination of parameters that enables the thermal environment of the target tunneling face to meet preset control requirements. The aforementioned target control condition may include, but is not limited to, at least one of the target ventilation condition and the target insulation condition.
[0051] The aforementioned target ventilation conditions may include the target ventilation duct laying method, the distance between the target ventilation duct and the tunnel face, the target inlet air temperature, and the target inlet air velocity; The aforementioned target insulation conditions may include the laying method of the target insulation material, the thermal conductivity of the target insulation material, and the laying thickness of the target insulation material.
[0052] In one possible embodiment, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can compare and analyze the temperature field characteristics corresponding to different current working conditions to obtain working condition evaluation results; then, based on the working condition evaluation results, it can determine the target control working condition. Specifically, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can use the heat regulation zone, roadway airflow, roadway outlet air temperature, roadway wall temperature gradient, and insulation layer temperature distribution as the basis for working condition evaluation, and screen out working condition combinations with lower outlet air temperature, smaller heat regulation zone, gentler roadway wall temperature gradient, or better insulation layer heat resistance as the target control working condition. For example, among multiple ventilation parameter combinations, the optimal ventilation duct laying method and the distance between the ventilation duct and the tunneling face can be determined; among multiple insulation parameter combinations, the optimal insulation material laying method, thermal conductivity, and laying thickness can be determined.
[0053] Through the above methods and steps, the temperature field prediction and control platform for high-temperature mine tunneling faces can perform targeted screening of different working conditions based on the temperature field characteristics, so that the determined target control working conditions correspond to the actual thermal environment state of the target tunneling face, thereby providing a basis for subsequent output control commands.
[0054] 105. Based on the target control conditions, output the corresponding control commands.
[0055] In this embodiment of the invention, the aforementioned control instructions can be understood as instruction information generated by the high-temperature mine tunneling face temperature field prediction and control platform based on the aforementioned target control conditions, used to adjust the thermal environment of the target tunneling face. The aforementioned control instructions may include instructions for adjusting the ventilation duct laying method, adjusting the distance between the ventilation duct and the tunneling face, adjusting the ventilation duct inlet air temperature, and adjusting the inlet air speed. They may also include instructions for determining the insulation material laying method, adjusting the insulation material laying thickness, or outputting insulation construction parameters. Thus, the aforementioned control instructions can further transform the aforementioned temperature field analysis results into executable condition control information.
[0056] In one possible embodiment, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can, after determining the target control condition, convert the various condition parameters included in the target control condition into commands to obtain a corresponding control command set. For the target ventilation condition, the platform can generate corresponding ventilation control commands based on the target ventilation duct laying method, the distance between the target ventilation duct and the tunneling face, the target inlet air temperature, and the target inlet air velocity. For the target insulation condition, the platform can generate corresponding insulation configuration commands based on the target insulation material laying method, the target insulation material thermal conductivity, and the target insulation material thickness. These control commands can be output to a ventilation adjustment terminal, a construction configuration terminal, or a display terminal to guide the adjustment of ventilation duct layout, the adjustment of air supply parameters, and the implementation of insulation layer laying.
[0057] Through the above methods and steps, the temperature field prediction and control platform for high-temperature mine tunneling faces can transform the parameter configuration results corresponding to the target control conditions into clear control instructions, so as to form a correspondence between the temperature field prediction results and the on-site control actions, thereby improving the pertinence and feasibility of the thermal environment control of the target tunneling face.
[0058] In this embodiment of the invention, basic parameters of the target tunneling face are obtained, including surrounding rock parameters, ventilation parameters, and thermal insulation parameters. Based on these basic parameters, a multidimensional coupled temperature field model of the target tunneling face is constructed. Based on the multidimensional coupled temperature field model, the current working condition data corresponding to the basic parameters are processed to obtain the corresponding temperature field characteristic results. Based on the temperature field characteristic results, the target control conditions of the target tunneling face are determined. Based on the target control conditions, corresponding control commands are output. Through the above method, the temperature field of high-temperature mine tunneling faces can be predicted and analyzed, and corresponding control schemes can be generated based on the temperature field characteristic results, thereby improving the pertinence and accuracy of temperature field control and enhancing the prediction accuracy and responsiveness of the thermal environment of the tunneling face.
[0059] Optionally, the step of constructing a multidimensional coupled temperature field model of the target tunneling face based on basic parameters further includes: constructing a roadway geometric model of the target tunneling face based on surrounding rock parameters, ventilation parameters, and insulation parameters; determining the surrounding rock region, roadway airflow region, and insulation layer region based on the roadway geometric model; establishing the heat conduction relationship of the surrounding rock region based on the surrounding rock parameters; establishing the flow heat transfer relationship of the roadway airflow region based on the ventilation parameters; establishing the heat conduction relationship of the insulation layer region based on the insulation parameters; determining the heat transfer coupling relationship between the three regions based on the heat conduction relationship of the surrounding rock region, the flow heat transfer relationship of the roadway airflow region, and the heat conduction relationship of the insulation layer region; and constructing a multidimensional coupled temperature field model based on the heat transfer coupling relationship.
[0060] In this embodiment of the invention, the aforementioned roadway geometric model can be understood as a three-dimensional structural model established by the high-temperature mine tunneling face temperature field prediction and control platform based on the spatial structure of the target tunneling face, the surrounding rock covering relationship, the airflow space, and the location of the insulation layer. This model is used for subsequent region division, parameter assignment, and heat transfer analysis. It should be noted that the aforementioned roadway geometric model is not limited to a specific cross-sectional form. In this embodiment, a circular roadway cross-section can be used for modeling to reflect the central symmetry of the roadway cross-section and facilitate subsequent analysis of radial temperature distribution and the range of the heat regulation zone. Correspondingly, the geometric shape of the surrounding rock can be modeled as a three-dimensional region covering the roadway. Ventilation ducts are arranged along the length of the roadway inside the roadway, and the insulation layer is located at the interface between the surrounding rock and the roadway airflow.
[0061] The aforementioned surrounding rock region can be understood as a solid area in the above-mentioned roadway geometric model used to characterize the thermal state and heat migration process of the rock mass surrounding the target tunneling face. It mainly serves to bear the initial temperature and thermal conductivity of the surrounding rock, and to reflect the process of heat transfer from the deeper parts of the surrounding rock to the roadway side. It should be noted that, since the surrounding rock is a significant heat source of high-temperature hazards at the tunneling face, the aforementioned surrounding rock region in the model corresponds to the solid high-temperature region in the temperature field analysis. Its temperature changes directly affect the range of the heat regulation zone and the temperature distribution near the roadway wall.
[0062] The aforementioned airflow region in the tunnel can be understood as a fluid region within the tunnel's geometric model that characterizes the airflow and heat exchange process within the tunnel. It supports ventilation parameters such as the duct installation method, the distance between the duct and the excavation face, inlet air temperature, and inlet air velocity. It also reflects the heat exchange process between the airflow and the tunnel's inner wall or the outer surface of the insulation layer after entering the target excavation face. This region corresponds to the fluid channel where heat is carried away, and its temperature distribution directly reflects the temperature rise of the airflow within the tunnel and the temperature changes at the tunnel exit.
[0063] The aforementioned insulation layer region can be understood as an intermediate area located between the surrounding rock region and the tunnel airflow region, used to characterize the heat-insulating effect of the insulation material. It serves to bear insulation parameters such as the insulation material laying method, thermal conductivity, and thickness, and reflects the attenuation process of heat transfer from the surrounding rock to the tunnel airflow side via the insulation layer. The insulation layer region prevents direct and intense heat exchange between the surrounding rock and the airflow; instead, heat is conducted sequentially through the surrounding rock, then the insulation layer, and finally the airflow. Therefore, this region in the model functions to regulate the heat transfer path and increase thermal resistance.
[0064] The aforementioned heat conduction relationship can be understood as a characterizing the transfer of heat along the temperature gradient within the surrounding rock region. It reflects the process of heat diffusion from high-temperature areas to low-temperature boundaries within the surrounding rock and corresponds to surrounding rock parameters such as initial temperature and thermal conductivity. Since there is usually a significant temperature difference between the surrounding rock side and the roadway side, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can output the continuous migration process of heat from the surrounding rock to the roadway boundary based on this heat conduction relationship, providing fundamental data for subsequent identification of the heating zone range and the roadway wall temperature gradient.
[0065] The aforementioned flow heat transfer relationship can be understood as a characterization of the heat exchange relationship between the airflow area in the aforementioned roadway and the surrounding solid boundary under the flow state. It is mainly used to reflect the process of convective heat transfer between fresh airflow and the surface of the surrounding rock or the outer surface of the insulation layer during the flow process, and corresponds to ventilation parameters such as inlet air temperature, inlet air velocity, air duct laying method and air duct layout position.
[0066] Through this relationship, the temperature field prediction and control platform for the aforementioned high-temperature mine tunneling face can analyze the temperature rise process after the airflow absorbs heat, and thereby obtain the airflow temperature distribution in the roadway and the air temperature at the roadway exit.
[0067] The aforementioned thermal conductivity relationship can be understood as a characterizing the heat transfer process within the insulation layer region. This relationship primarily reflects the process of heat transferred from the surrounding rock side to the other side within the insulation layer, and corresponds to insulation parameters such as the thermal conductivity of the insulation material and the thickness of the insulation layer. The weaker the thermal conductivity and the greater the thickness of the insulation layer, the slower the heat transfer to the airflow side through the insulation layer, and correspondingly, the more significantly the heat release process from the surrounding rock is suppressed. Therefore, the aforementioned thermal conductivity relationship is used to characterize the blocking effect of the insulation layer on the heat transfer process.
[0068] The aforementioned heat transfer coupling relationship can be understood as an inter-regional heat transfer correlation formed based on the heat transfer sequence among the surrounding rock region, the tunnel airflow region, and the insulation layer region. This unifies heat conduction within the surrounding rock region, heat conduction within the insulation layer region, and flow heat exchange between the tunnel airflow region and the solid boundary, forming a complete heat transfer chain. With an insulation layer in place, this heat transfer chain can manifest as heat transfer from the surrounding rock region to the insulation layer region, and then heat exchange from the insulation layer region to the tunnel airflow region. Without an insulation layer, it can also manifest as a direct heat exchange relationship between the surrounding rock region and the tunnel airflow region. This heat transfer coupling relationship ensures the continuity and correspondence of heat transfer in the multi-region model.
[0069] In one possible embodiment, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can construct a roadway geometric model of the target tunneling face based on surrounding rock parameters, ventilation parameters, and insulation parameters, and determine the surrounding rock region, roadway airflow region, and insulation layer region within the roadway geometric model. Subsequently, the platform can establish heat conduction relationships within the surrounding rock region, flow heat transfer relationships within the roadway airflow region, and heat conduction relationships within the insulation layer region. Based on the heat conduction relationships of the surrounding rock region, the flow heat transfer relationships of the roadway airflow region, and the heat conduction relationships of the insulation layer region, the platform determines the heat transfer coupling relationships between the three regions and constructs a multidimensional coupled temperature field model based on these heat transfer coupling relationships.
[0070] In another possible embodiment, the above-mentioned high-temperature mine tunneling face temperature field prediction and control platform can model the target roadway as a circular cross-section roadway, set the surrounding rock as the outer area covering the roadway, set the airflow area as the internal flow space of the roadway, and set the insulation layer between the surrounding rock and the roadway airflow; then write parameters such as the initial temperature of the surrounding rock, the thermal conductivity of the surrounding rock, the inlet air temperature of the ventilation duct, the inlet air velocity, the thermal conductivity of the insulation material and the laying thickness, to form a multi-region coupled temperature field model corresponding to the current working conditions.
[0071] Through the above methods and steps, the heat dissipation process of the surrounding rock, the heat insulation process, and the heat transfer process of the airflow can be uniformly expressed in the same model, thus providing a model basis for subsequent temperature field distribution solutions and temperature field characteristic result extraction, and making the determination of target control conditions have a clearer basis for heat transfer analysis.
[0072] Optionally, the step of determining the heat transfer coupling relationship between the three regions based on the thermal conduction relationship of the surrounding rock region, the flow heat transfer relationship of the roadway airflow region, and the thermal conductivity relationship of the insulation layer region further includes determining the thermal conductivity coupling relationship between the surrounding rock region and the insulation layer region; determining the heat transfer coupling relationship between the insulation layer region and the roadway airflow region; establishing a coupled heat transfer path between the three regions based on the thermal conductivity coupling relationship, the heat transfer coupling relationship, and the heat transfer sequence between the surrounding rock region, the insulation layer region, and the roadway airflow region; and determining the heat transfer coupling relationship between the three regions based on the coupled heat transfer path.
[0073] In this embodiment of the invention, the aforementioned thermal coupling relationship can be understood as the heat transfer relationship established by the high-temperature mine tunneling face temperature field prediction and control platform at the interface between the surrounding rock region and the insulation layer region. This relationship characterizes how heat conducted from the interior of the surrounding rock region to the boundary continues to transfer into the insulation layer region. Since both the surrounding rock region and the insulation layer region are solid heat transfer objects, the heat transfer between them is mainly through conduction. Therefore, the high-temperature mine tunneling face temperature field prediction and control platform can determine the boundary of the surrounding rock region near the insulation layer region as the first heat transfer interface, and then establish the thermal coupling relationship between the surrounding rock region and the insulation layer region based on the temperature distribution, thermal conductivity parameters, and continuous heat transfer conditions on both sides of the first heat transfer interface.
[0074] It is understandable that this thermal coupling relationship reflects that the heat transferred from the surrounding rock region to the interface can continue to be transferred into the insulation layer region without being interrupted at the interface. In other words, when the thermal conductivity of the surrounding rock is strong, the heat transferred into the insulation layer region increases accordingly; when the thermal conductivity of the insulation layer is weak, temperature difference is more likely to accumulate on both sides of the interface, thus reflecting the thermal resistance matching state between the surrounding rock and the insulation layer.
[0075] The aforementioned heat exchange coupling relationship can be understood as the heat exchange relationship established at the interface between the insulation layer region and the roadway airflow region by the temperature field prediction and control platform of the high-temperature mine tunneling face. It is used to characterize how the heat transferred from the insulation layer region to the outer surface is further released into the roadway airflow region.
[0076] It should be noted that, since the insulation layer area is a solid region and the roadway airflow area is a fluid region, heat transfer between them is mainly through flow heat exchange. Therefore, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can define the boundary of the insulation layer area near the roadway airflow area as the second heat transfer interface. Based on the surface temperature, airflow temperature, inlet wind speed, and airflow state at the second heat transfer interface, a heat exchange coupling relationship between the insulation layer area and the roadway airflow area is established to reflect how the heat carried by the outer surface of the insulation layer area can be carried away by the roadway airflow through heat exchange with the flowing airflow. In other words, when the inlet wind speed increases or the airflow organization is more conducive to boundary heat exchange, the airflow's heat-carrying capacity is enhanced; when the temperature difference between the outer surface of the insulation layer and the airflow temperature increases, the heat exchange driving force at the interface increases accordingly.
[0077] The aforementioned heat transfer sequence can be understood as the order in which heat flows through each region, as determined by the high-temperature mine tunneling face temperature field prediction and control platform in its multi-region heat transfer analysis. This order is determined by the spatial arrangement and heat transfer methods of each region. Under the condition of an insulation layer, the surrounding rock region is located on the side where heat release begins, the insulation layer region is located between the surrounding rock region and the roadway airflow region, and the roadway airflow region is located on the side where heat is ultimately carried away. Therefore, the heat transfer sequence can be determined as follows: heat conducted from within the surrounding rock region first reaches the interface between the surrounding rock region and the insulation layer region, then enters the interior of the insulation layer region, then reaches the interface between the insulation layer region and the roadway airflow region, and is finally released into the roadway airflow region. In other words, the heat transfer sequence can be specifically represented as heat conduction in the surrounding rock region, heat conduction in the insulation layer region, and heat exchange in the roadway airflow region. By clarifying this sequence, the high-temperature mine tunneling face temperature field prediction and control platform can avoid analyzing the multi-region heat transfer process in isolation, but instead treat it as a continuous heat transfer chain for unified processing.
[0078] The aforementioned coupled heat transfer path can be understood as a multi-regional heat transfer link established by the high-temperature mine tunneling face temperature field prediction and control platform based on the thermal conduction coupling relationship, heat transfer coupling relationship, and heat transfer sequence. This is used to characterize the analytical path of how heat is sequentially transferred along the surrounding rock region, the insulation layer region, and the roadway airflow region. Specifically, the high-temperature mine tunneling face temperature field prediction and control platform can first determine the heat conduction segment within the surrounding rock region pointing from the high-temperature side to the first heat transfer interface, and then determine the thermal conduction coupling segment at the first heat transfer interface from the surrounding rock region into the insulation layer region. Based on this, it further determines the thermal conduction transfer segment within the insulation layer region from the side closer to the surrounding rock region to the side closer to the roadway airflow region, and the heat transfer coupling segment at the second heat transfer interface from the insulation layer region to the roadway airflow region where heat is released.
[0079] By associating the above segments according to the heat transfer sequence, a coupled heat transfer path can be established between the three regions. Through this path, the heat dissipation process of the surrounding rock, the heat insulation process, and the heat transfer process of the airflow are integrated into a continuous process, which facilitates the subsequent unified determination of the heat transfer coupling relationship between the three regions.
[0080] In one possible embodiment, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can further determine the heat transfer coupling relationship between the three regions based on the established thermal conduction relationship of the surrounding rock region, the flow heat transfer relationship of the roadway airflow region, and the thermal conduction relationship of the insulation layer region.
[0081] Specifically, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can first identify the contact interface between the surrounding rock area and the insulation layer area, and determine the thermal coupling relationship between the surrounding rock area and the insulation layer area based on the temperature distribution on both sides of the interface and the corresponding thermal conductivity parameters; then identify the contact interface between the insulation layer area and the roadway airflow area, and determine the heat exchange coupling relationship between the insulation layer area and the roadway airflow area based on the outer surface temperature of the insulation layer, the airflow temperature and the airflow state. Subsequently, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can determine the heat transfer sequence as follows: from the surrounding rock area to the insulation layer area and then to the roadway airflow area, based on the spatial distribution relationship where the surrounding rock area is located on the heat source side, the insulation layer area is located on the intermediate heat-resistant side, and the roadway airflow area is located on the heat-carrying side. Then, it can sequentially associate the heat conduction section within the surrounding rock area, the heat conduction coupling section between the surrounding rock area and the insulation layer area, the heat conduction transfer section within the insulation layer area, and the heat exchange coupling section between the insulation layer area and the roadway airflow area to establish a coupled heat transfer path between the three areas. Based on this coupled heat transfer path, the heat transfer coupling relationship between the three areas can be uniformly determined.
[0082] Through the above methods and steps, the temperature field prediction and control platform for high-temperature mine tunneling faces can integrate the originally dispersed heat conduction and heat exchange processes between multiple regions into a continuous heat transfer process. This makes the path of how the heat from the surrounding rock is transferred through the insulation layer and finally released into the roadway airflow clearer, thus providing a clear basis for the construction of subsequent multi-dimensional coupled temperature field models and enabling the temperature field solution results to more accurately correspond to the actual heat transfer state.
[0083] Optionally, the step of establishing the coupled heat transfer path between the three regions based on the thermal conduction coupling relationship, the heat transfer coupling relationship, and the heat transfer sequence between the surrounding rock region, the insulation layer region, and the roadway airflow region further includes establishing a heat conduction path from the high-temperature region to the adjacent insulation layer region within the surrounding rock region; establishing a heat conduction path at the interface between the surrounding rock region and the insulation layer region; establishing a heat conduction path from the side closer to the surrounding rock region to the side closer to the roadway airflow region within the insulation layer region; establishing a heat transfer path at the interface between the insulation layer region and the roadway airflow region; and sequentially associating the heat conduction path within the surrounding rock region, the heat conduction path at the interface between the surrounding rock region and the insulation layer region, the heat conduction path within the insulation layer region, and the heat transfer path at the interface between the insulation layer region and the roadway airflow region to obtain the coupled heat transfer path between the three regions.
[0084] In this embodiment of the invention, the heat conduction path from the high-temperature region to the adjacent insulation layer region within the surrounding rock can be understood as the path along which heat is gradually transferred from the deep high-temperature location to the side boundary of the roadway along the temperature gradient within the surrounding rock. This path corresponds to the heat conduction process within the surrounding rock, reflecting the direction and range of heat transfer before reaching the insulation layer. For high-temperature mine tunneling faces, the temperature at the depth of the surrounding rock is usually higher than that near the roadway side, therefore heat will continuously transfer from the depth of the surrounding rock to the side closer to the insulation layer.
[0085] The heat transfer path at the interface between the surrounding rock region and the insulation layer region can be understood as the interface transfer path from the boundary of the surrounding rock region to the boundary of the insulation layer region. This path corresponds to the interfacial heat conduction process between the surrounding rock and the insulation layer, and is used to characterize how the heat released from the surrounding rock crosses the interface and continues to enter the insulation layer. The heat transfer state at this interface is related to the side boundary temperature of the surrounding rock, the inner boundary temperature of the insulation layer, and the thermal conductivity of the materials on both sides.
[0086] The heat transfer path within the aforementioned insulation layer region, from the side closer to the surrounding rock to the side closer to the tunnel airflow region, can be understood as the internal transfer path of heat within the insulation layer along its thickness after heat enters the insulation layer. This path reflects the insulation layer's ability to block heat. When the thermal conductivity of the insulation material is low, the heat transfer rate along this path decreases, making it easier for a temperature difference to form on both sides of the insulation layer, thereby weakening the intensity of heat release from the surrounding rock to the tunnel airflow region.
[0087] The heat transfer path at the interface between the insulation layer area and the airflow area in the tunnel can be understood as the path through which heat is released from the outer surface of the insulation layer to the airflow area in the tunnel. This path corresponds to the heat exchange process between the outer surface of the insulation layer and the flowing air. The lower the airflow temperature and the higher the flow velocity, the more conducive it is to removing heat from the outer surface of the insulation layer.
[0088] The aforementioned coupled heat transfer path can be understood as a unified heat transfer link formed by connecting the heat conduction path within the surrounding rock area, the heat transfer path at the interface between the surrounding rock area and the insulation layer area, the heat transfer path within the insulation layer area, and the heat exchange path at the interface between the insulation layer area and the roadway airflow area, according to the actual sequence of heat transfer, through the temperature field prediction and control platform for high-temperature mine tunneling faces. This path is used to uniformly characterize the entire process of heat transfer from the deep surrounding rock to the roadway airflow area, rather than reflecting only the local heat transfer state within a single area.
[0089] In one possible embodiment, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can further establish coupled heat transfer paths between the three regions after determining the thermal conduction coupling relationship, heat exchange coupling relationship, and heat transfer sequence. Taking the initial temperature of the surrounding rock at the target tunneling face as 45℃, the inlet air temperature of the ventilation duct as 18℃, the inlet air velocity as 8m / s, and the insulation layer thickness as 12cm as an example, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can first identify the location of the high-temperature deep surrounding rock within the surrounding rock region, and establish a heat conduction path from the high-temperature region to the adjacent insulation layer region along the direction of temperature decrease within the surrounding rock; then, at the contact interface between the surrounding rock region and the insulation layer region, establish a thermal conduction path for the heat from the surrounding rock to enter the insulation layer; subsequently, within the insulation layer region, establish a thermal conduction path from the side closer to the surrounding rock region to the side closer to the roadway airflow region; and finally, at the contact interface between the outer surface of the insulation layer and the roadway airflow region, establish a heat exchange path for the release of heat to the flowing airflow.
[0090] After establishing the above-mentioned paths, the temperature field prediction and control platform for the high-temperature mine tunneling face can associate the paths in the order of heat transfer within the surrounding rock area, heat conduction and transfer at the interface, heat transfer within the insulation layer, and heat exchange at the interface to obtain the coupled heat transfer path between the three areas.
[0091] Taking the above working condition as an example, if the thermal conductivity of the insulation layer is reduced, the temperature field prediction and control platform for the high-temperature mine tunneling face can identify a slower rate of heat attenuation in the insulation layer thickness direction and an increased temperature difference between the inside and outside of the insulation layer when establishing the heat transfer path within the insulation layer area. Correspondingly, when establishing the heat transfer path at the interface between the insulation layer area and the roadway airflow area, it can identify a decrease in the heat transferred to the airflow side. Thus, the coupled heat transfer path can not only indicate which areas and interfaces the heat passes through, but also reflect the strength of heat transfer in each segment of the path.
[0092] Through the above methods and steps, the temperature field prediction and control platform for high-temperature mine tunneling faces can connect the heat dissipation, heat insulation and heat resistance of the surrounding rock and the heat transfer process of the airflow in sequence, making the regional heat transfer logic in the subsequent multidimensional coupled temperature field model clearer, and also making the temperature field characteristic results have a clearer correspondence with the actual heat transfer process.
[0093] Optionally, the step of constructing a multidimensional coupled temperature field model based on heat transfer coupling relationships also includes: dividing the roadway geometric model into regions based on the surrounding rock region, the roadway airflow region, and the insulation layer region, and determining the region division results; assigning parameter values to each region based on the surrounding rock parameters, ventilation parameters, and insulation parameters, and determining the region parameters; setting inter-regional heat transfer boundary conditions for the surrounding rock region, the roadway airflow region, and the insulation layer region based on heat transfer coupling relationships, and determining the boundary conditions; and optimizing the roadway geometric model through mesh generation based on the region division results, region parameters, and boundary conditions to obtain the multidimensional coupled temperature field model.
[0094] In this embodiment of the invention, the above-mentioned region division result can be understood as the regionalized modeling result obtained by the temperature field prediction and control platform for high-temperature mine tunneling face after completing region identification and spatial segmentation in the above-mentioned roadway geometric model. This can be achieved by assigning different spatial locations in the roadway geometric model to surrounding rock regions, roadway airflow regions, and insulation layer regions, respectively, so that each part of the space has clear physical properties and subsequent parameter assignment objects. In this embodiment, if the target tunneling face adopts a circular cross-section roadway structure, the temperature field prediction and control platform for high-temperature mine tunneling face can divide the solid part covering the outside of the roadway into the surrounding rock region, divide the air supply and return airflow space inside the roadway into the roadway airflow region, and divide the insulation material layer located between the inner wall of the surrounding rock and the roadway airflow region into the insulation layer region. Through this region division result, various parameters can be loaded separately according to the region, avoiding the mixing of the thermal conductivity properties of the surrounding rock, the airflow properties, and the thermal insulation properties of the insulation layer.
[0095] The parameter assignment described above can be understood as the process by which the temperature field prediction and control platform for high-temperature mine tunneling faces writes basic parameters into the corresponding regions according to their physical properties, thereby determining the regional parameters used in subsequent solutions for each region. Generally, parameter assignment for the surrounding rock region may include the initial temperature and thermal conductivity of the surrounding rock, used to characterize the heat storage level and internal heat transfer capacity of the surrounding rock; parameter assignment for the roadway airflow region may include the ventilation duct laying method, ventilation duct inlet air temperature, inlet air velocity, and airflow medium properties, used to characterize the flow state and heat exchange capacity; parameter assignment for the insulation layer region may include the thermal conductivity of the insulation material, the thickness of the insulation material, and the laying method, used to characterize the heat resistance capacity. For example, the temperature field prediction and control platform for the high-temperature mine tunneling face mentioned above can write the initial temperature of the surrounding rock at 45℃ and the thermal conductivity of the surrounding rock at 2.5 W / (m·K) to the surrounding rock area, the inlet air temperature at 18℃ and the inlet air velocity at 8 m / s to the roadway airflow area, and the thermal conductivity of the insulation layer at 0.19 W / (m·K) and the laying thickness at 12cm to the insulation layer area, thereby obtaining the set of regional parameters corresponding to the current working conditions.
[0096] The aforementioned heat transfer boundary conditions between regions can be understood as the heat transfer constraints set at the contact interface between adjacent regions by the temperature field prediction and control platform of the high-temperature mine tunneling face. These conditions are used to ensure that heat can be continuously transferred according to the actual transfer relationship between regions. They are mainly set between the surrounding rock area and the insulation layer area, and between the insulation layer area and the roadway airflow area. If necessary, they can also be set between the surrounding rock area and the roadway airflow area when no insulation layer is laid.
[0097] The inter-regional heat transfer boundary conditions between the surrounding rock region and the insulation layer region can characterize the continuity of heat conduction on both sides of the interface; the inter-regional heat transfer boundary conditions between the insulation layer region and the roadway airflow region can characterize the continuity of heat exchange between the solid boundary and the flowing airflow.
[0098] The aforementioned boundary conditions can be understood as a set of conditions used to constrain the solution range, regional state, and interface heat transfer behavior of the multidimensional coupled temperature field model. The inter-regional heat transfer boundary conditions are part of the overall boundary conditions. In addition, boundary conditions may also include wind temperature and velocity boundaries at the entrance of the tunnel airflow region, temperature constraints at the outer boundary of the model, and initial thermal state constraints of the surrounding rock region. In other words, the aforementioned boundary conditions encompass both how heat transfer occurs between regions and the inputs and constraints under which the model as a whole is solved.
[0099] In one possible embodiment, the above-mentioned high-temperature mine tunneling face temperature field prediction and control platform can set the inlet of the roadway airflow area to a temperature boundary of 16°C to 22°C and a velocity boundary of 6 m / s to 12 m / s, set the surrounding rock area to the corresponding initial temperature field constraint, and set the surrounding rock-insulation layer interface and the insulation layer-airflow interface to the heat conduction continuous boundary and the heat transfer boundary, respectively, thereby forming a complete boundary condition system.
[0100] The aforementioned mesh optimization can be understood as the process by which the temperature field prediction and control platform for high-temperature mine tunneling faces discretizes the aforementioned roadway geometric model and adjusts the mesh quality based on the regional division results, regional parameters, and boundary conditions. This process divides the continuous geometric space into solvable finite elements, while simultaneously matching the mesh density and computational accuracy requirements of the surrounding rock region, roadway airflow region, insulation layer region, and areas near each contact interface.
[0101] It should be noted that the above-mentioned mesh optimization is not simply to increase the number of meshes, but to locally refine the meshes based on the heat transfer and heat exchange sensitive locations, to set boundary layers or expansion layers based on the interface locations, and to select a better mesh scale in combination with mesh independence analysis.
[0102] In another possible embodiment, the temperature field prediction and control platform of the high-temperature mine tunneling face can generate a grid by means of proximity and curvature joint control, set an expansion layer at the fluid-structure interaction point, and construct multiple candidate grid models with different grid sizes. Then, by comparing the differences in temperature distribution results corresponding to each candidate grid model, a grid model that can ensure both solution accuracy and computational efficiency is selected.
[0103] In another possible embodiment, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can obtain the multi-dimensional coupled temperature field model as follows. Specifically, the platform can first establish a roadway geometric model based on the spatial structure of the target tunneling face. In this roadway geometric model, the outer solid part is divided into the surrounding rock region, the air flow space inside the roadway is divided into the roadway airflow region, and the insulation material layer between the surrounding rock region and the roadway airflow region is divided into the insulation layer region, thus obtaining the region division result. Subsequently, the platform can assign parameters to each region, for example, writing an initial surrounding rock temperature of 45℃ and a surrounding rock thermal conductivity of 2.5 W / (m·K) to the surrounding rock region, writing an inlet air temperature of 18℃, an inlet air velocity of 8 m / s, and corresponding ventilation duct layout parameters to the roadway airflow region, and writing an insulation layer thermal conductivity of 0.19 W / (m·K) and a laying thickness of 12 cm to the insulation layer region, thereby determining the region parameters. Subsequently, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can set inter-regional heat transfer boundary conditions with continuous thermal conductivity between the surrounding rock region and the insulation layer region, and heat transfer boundary conditions between the insulation layer region and the roadway airflow region, in conjunction with the roadway airflow inlet boundary and the initial temperature boundary of the surrounding rock to form the boundary conditions. After the boundary conditions are determined, the platform can optimize the roadway geometric model by mesh generation, locally densifying the mesh at the surrounding rock-insulation layer interface and the insulation layer-airflow interface, setting an expansion layer at the fluid-structure interaction point, and constructing multiple sets of candidate mesh models. Then, based on the temperature solution results corresponding to different candidate mesh models, the platform compares them and selects the mesh model with the smallest difference in results and meeting the element quality requirements as the final solution mesh. Finally, the platform can integrate the region division results, region parameters, boundary conditions, and optimized mesh models to obtain the aforementioned multi-dimensional coupled temperature field model.
[0104] Through the above methods and steps, the heat dissipation process of the surrounding rock, the heat insulation process of the insulation layer, and the heat-carrying process of the roadway airflow are all incorporated into the same solution object. The model can reflect the heat transfer state within each region as well as the coupled heat transfer state between regions, thus providing an implementable model basis for subsequent current working condition data processing and temperature field feature extraction.
[0105] Optionally, in the step of processing the current working condition data corresponding to the basic parameters based on the multidimensional coupled temperature field model to obtain the corresponding temperature field feature results, the method further includes inputting the current working condition data corresponding to the basic parameters into the multidimensional coupled temperature field model to obtain the temperature distribution results; extracting the regional temperature features corresponding to the surrounding rock area, the roadway airflow area, and the insulation layer area based on the temperature distribution results to obtain the regional feature results; and determining the corresponding temperature field feature results based on the regional feature results.
[0106] In this embodiment of the invention, the above-mentioned temperature distribution results can be understood as the temperature distribution information of the target tunneling face at different spatial locations obtained by the above-mentioned high-temperature mine tunneling face temperature field prediction and control platform after inputting the current working condition data corresponding to the basic parameters into the above-mentioned multi-dimensional coupled temperature field model. This information can cover the surrounding rock area, the roadway airflow area and the insulation layer area, reflecting the distribution results of the temperature change state of each area.
[0107] In this embodiment, when the initial temperature of the surrounding rock is 45℃, the thermal conductivity of the surrounding rock is 2.5 W / (m·K), the inlet air temperature of the ventilation duct is 18℃, the inlet air velocity is 8 m / s, the thermal conductivity of the insulation layer is 0.19 W / (m·K), and the thickness of the insulation layer is 12 cm, the temperature field prediction and control platform of the above-mentioned high-temperature mine tunneling face can be obtained after solving the problem as follows: the temperature of the surrounding rock area gradually decreases from the depth towards the roadway boundary, the temperature of the insulation layer area gradually decreases from the side closer to the surrounding rock towards the side closer to the roadway airflow, and the roadway airflow area shows a temperature distribution state of gradual temperature increase along the length of the roadway.
[0108] The aforementioned high-temperature mine tunneling face temperature field prediction and control platform can identify and refine representative temperature change information in different regions based on the temperature distribution results. Generally, it can screen characteristic information that can characterize the thermal state of the surrounding rock region, the roadway airflow region, and the insulation layer region based on their respective heat transfer characteristics. Taking the surrounding rock region as an example, it can identify the range of thermal disturbance in the surrounding rock and the temperature changes near the roadway wall from the temperature distribution results; taking the roadway airflow region as an example, it can identify the temperature rise process of the airflow along the roadway direction and the temperature value corresponding to the outlet section; taking the insulation layer region as an example, it can identify the temperature difference on both sides of the insulation layer and the temperature decay state in the direction of the insulation layer thickness. Through this processing, the temperature distribution results can be transformed into regional analysis results.
[0109] The aforementioned regional feature results can be understood as the set of regional features obtained by the high-temperature mine tunneling face temperature field prediction and control platform after extracting regional temperature features. These features are used to characterize the thermal state of the surrounding rock area, the roadway airflow area, and the insulation layer area under the current working conditions. For example, the surrounding rock area features may include the range of the heat regulation zone and the roadway wall temperature gradient; the airflow area features may include the airflow temperature distribution within the roadway and the air temperature at the roadway outlet; and the insulation layer area features may include the insulation layer temperature distribution and the temperature difference between the two sides of the insulation layer.
[0110] The above-mentioned temperature field characteristics can be understood as the results information used to characterize the overall thermal environment state of the target tunneling face, which are further determined by the temperature field prediction and control platform of the high-temperature mine tunneling face based on the above-mentioned regional characteristics. It may include at least one of the following: heat regulation zone, airflow in the roadway, air temperature at the roadway outlet, temperature gradient of the roadway wall, and temperature distribution of the insulation layer. It can be used for subsequent working condition comparison and control decision-making.
[0111] In one possible embodiment, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can input current working condition data into the aforementioned multi-dimensional coupled temperature field model for solution. Taking a circular cross-section roadway as an example, the roadway diameter is 4m, the ventilation duct diameter is 1m, the ventilation duct is arranged with fixed sidewalls, the distance between the ventilation duct and the tunneling face is 6m, the initial temperature of the surrounding rock is 45℃, the thermal conductivity of the surrounding rock is 2.5 W / (m·K), the inlet air temperature of the ventilation duct is 18℃, the inlet air velocity is 8 m / s, the thermal conductivity of the insulation layer is 0.19 W / (m·K), and the insulation layer thickness is 12 cm. After inputting the above parameters, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can obtain the corresponding temperature distribution results. In this temperature distribution result, the temperature in the deep region of the surrounding rock is close to the initial rock temperature, and the temperature near the roadway boundary is lower than that in the deep region; the temperature of the insulation layer near the surrounding rock is higher than that near the roadway airflow; the roadway airflow gradually increases from 18℃ at the entrance along the roadway direction.
[0112] Based on the above temperature distribution results, the temperature field prediction and control platform for high-temperature mine tunneling faces can extract regional temperature characteristics. For the surrounding rock area, the range of the original rock temperature isotherm after disturbance can be identified along the radial temperature distribution of the surrounding rock, thus obtaining the range of the heat regulation zone; simultaneously, the radial temperature change rate near the roadway wall can be extracted to obtain the roadway wall temperature gradient. Taking this working condition as an example, if the temperature near the wall of the surrounding rock is significantly lower than the temperature of the deeper parts of the surrounding rock, and the isotherm advances into the interior of the surrounding rock, it indicates that the heat regulation zone has been formed, and there is a significant temperature gradient near the roadway boundary. For the roadway airflow area, the airflow temperature at different cross-sections can be extracted along the length of the roadway to obtain the airflow temperature distribution within the roadway; then, the airflow temperature corresponding to the outlet cross-section is extracted to obtain the roadway outlet air temperature. Taking this working condition as an example, if the outlet cross-section air temperature is higher than 18℃, it indicates that the airflow absorbs heat from the surrounding rock and the outer surface of the insulation layer during the flow process. For the insulation layer area, the temperature values of the side of the insulation layer closest to the surrounding rock and the side closest to the airflow can be extracted to obtain the temperature difference between the two sides of the insulation layer; then, the temperature change along the thickness direction of the insulation layer can be extracted to obtain the temperature distribution of the insulation layer. If the temperature difference between the two sides of the insulation layer is large, it indicates that the insulation layer has a significant blocking effect on heat dissipation from the surrounding rock.
[0113] After extracting the regional temperature features, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can further generate regional feature results and determine the corresponding temperature field feature results based on these results. Taking the above working condition as an example, the surrounding rock regional features can be determined as the range of the heat regulation zone and the temperature gradient of the tunnel wall; the airflow regional features can be determined as the airflow temperature distribution within the tunnel and the air temperature at the tunnel outlet; and the insulation layer regional features can be determined as the insulation layer temperature distribution and the temperature difference between the two sides of the insulation layer. Subsequently, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can determine the heat regulation zone, airflow within the tunnel, air temperature at the tunnel outlet, temperature gradient of the tunnel wall, and temperature distribution of the insulation layer as the temperature field feature results corresponding to the current working condition.
[0114] Through the above methods and steps, the obtained space temperature data is gradually transformed into result information that can be directly used for operating condition evaluation and control decisions, so that the differences in thermal environment under different ventilation and insulation parameters can be clearly identified, and a clear basis can be provided for the determination of subsequent target control conditions.
[0115] Optionally, the step of extracting regional temperature features corresponding to the surrounding rock region, the tunnel airflow region, and the insulation layer region based on the temperature distribution results to obtain regional feature results further includes: extracting the range of the heat regulation zone and the tunnel wall temperature gradient based on the temperature distribution results corresponding to the surrounding rock region to obtain surrounding rock region features; extracting the airflow temperature distribution in the tunnel and the tunnel outlet air temperature based on the temperature distribution results corresponding to the tunnel airflow region to obtain airflow region features; extracting the temperature difference between the inner and outer walls of the insulation layer and the insulation layer temperature distribution based on the temperature distribution results corresponding to the insulation layer region to obtain insulation layer region features; and determining the regional feature results based on the surrounding rock region features, airflow region features, and insulation layer region features.
[0116] In this embodiment of the invention, the aforementioned heat regulation zone range can be understood as the range of influence of the surrounding rock area after thermal disturbance under ventilation and insulation. The aforementioned high-temperature mine tunneling face temperature field prediction and control platform can identify the changing position of the original rock temperature isotherms in the surrounding rock based on the temperature distribution results corresponding to the surrounding rock area, and determine the envelope range of the disturbed isotherms as the heat regulation zone range.
[0117] Taking an initial surrounding rock temperature of 45℃ as an example, if the temperature in the deeper parts of the surrounding rock remains close to 45℃, while the temperature in a certain range near the roadway boundary is significantly lower than 45℃, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can identify this area, which is lower than the original rock temperature and extends into the surrounding rock, as the corresponding range of the heat regulation zone. When the thermal conductivity of the insulation layer decreases, the disturbance of heat propagation into the deeper parts of the surrounding rock weakens, and the corresponding identified range of the heat regulation zone shrinks accordingly.
[0118] The aforementioned tunnel wall temperature gradient can be understood as the radial temperature change rate of the surrounding rock region near the tunnel boundary, used to characterize the degree of temperature attenuation in the near-wall region when heat from the surrounding rock is transferred to the tunnel side. The aforementioned high-temperature mine tunneling face temperature field prediction and control platform can select multiple radial locations near the tunnel boundary in the surrounding rock region, read the temperature values of adjacent locations, and determine the tunnel wall temperature gradient based on the temperature difference and corresponding distance. For example, at depths of 0.02 m, 0.05 m, and 0.10 m from the surrounding rock boundary, corresponding temperature values are extracted. If the temperature decreases faster near the boundary, it indicates a larger temperature gradient and a stronger driving force for heat dissipation from the surrounding rock; if the near-wall temperature change becomes more gradual after the insulation layer is laid, the corresponding tunnel wall temperature gradient decreases.
[0119] The aforementioned airflow temperature distribution within the tunnel can be understood as the temperature variation along the length of the tunnel and within local cross-sectional areas within the airflow region. This is used to characterize the process of fresh air absorbing heat and increasing in temperature during its flow after entering the target tunneling face. Specifically, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can set multiple temperature extraction sections along the length of the tunnel in the airflow region. For example, airflow temperature values can be extracted at distances of 5 m, 20 m, and 50 m from the ventilation duct outlet, as well as at the tunnel outlet. These section temperature values are then correlated spatially to form the airflow temperature distribution result within the tunnel. If the inlet air temperature is 18℃, the inlet air velocity is 8 m / s, and the initial temperature of the surrounding rock is 45℃, then a gradual temperature increase trend from the inlet to the outlet can usually be identified. If the distance between the ventilation duct and the tunneling face or the insulation layer parameters change, the airflow temperature distribution curve within the tunnel will also change accordingly.
[0120] The aforementioned roadway outlet air temperature can be understood as the airflow temperature result corresponding to the outlet position of the roadway airflow area in the target analysis section. It directly reflects the final temperature rise of the airflow after heat absorption along the path under the current working conditions, and is also one of the important bases for evaluating the quality of the working conditions. The aforementioned high-temperature mine tunneling face temperature field prediction and control platform can read the airflow temperature value at the outlet section of the roadway airflow area and determine this value as the roadway outlet air temperature. In this embodiment, when the inlet air temperature is 18℃, the inlet air velocity is 8 m / s, the thermal conductivity of the surrounding rock is 2.5 W / (m·K), and the insulation layer thickness is 12 cm, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can extract the corresponding air temperature value at the roadway outlet section after solving the problem. If this value is higher than 18℃, it indicates that the airflow has absorbed a certain amount of heat in the roadway. If the roadway outlet air temperature corresponding to a certain working condition is lower when comparing different working conditions, it indicates that the working condition is more advantageous in controlling the heat dissipation of the surrounding rock or enhancing the heat carrying capacity.
[0121] The temperature difference between the inner and outer walls of the aforementioned insulation layer can be understood as the temperature difference between the wall temperature on the side of the insulation layer near the surrounding rock and the wall temperature on the side near the roadway airflow area, reflecting the degree of heat transfer obstruction by the insulation layer. The aforementioned high-temperature mine tunneling face temperature field prediction and control platform can extract the temperature values at the inner and outer walls of the insulation layer separately, and then determine the temperature difference between the inner and outer walls based on the difference between the two. Taking one possible implementation as an example, the first wall temperature is extracted at the interface on the side of the insulation layer near the surrounding rock, and the second wall temperature is extracted at the interface on the side of the insulation layer near the roadway airflow. If the first wall temperature is significantly higher than the second wall temperature, it indicates a significant temperature difference within the insulation layer, corresponding to a more pronounced heat-blocking effect. This temperature difference typically increases when the thermal conductivity of the insulation material decreases.
[0122] The aforementioned temperature distribution of the insulation layer refers to the temperature variation along the thickness direction and the direction of roadway extension within the insulation layer, reflecting the heat attenuation process inside the insulation layer. The aforementioned high-temperature mine tunneling face temperature field prediction and control platform can set multiple temperature extraction points along the thickness direction of the insulation layer and read the corresponding temperature values at each extraction point, thus forming the temperature distribution results inside the insulation layer. If the insulation layer thickness is 12 cm, temperature values can be extracted at the side near the surrounding rock, the middle position, and the side near the airflow, and the temperature change from high to low at these three locations can be observed. The gentler the distribution, the more suppressed the heat transfer inside the insulation layer.
[0123] In one possible embodiment, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can extract regional temperature characteristics for the surrounding rock area, the tunnel airflow area, and the insulation layer area after obtaining the temperature distribution results. Taking a circular cross-section tunnel as an example, the tunnel diameter can be 4 m, the ventilation duct diameter can be 1 m, the ventilation duct is arranged with fixed sidewalls, the distance between the ventilation duct and the tunneling face can be 6 m, the initial temperature of the surrounding rock can be 45℃, the thermal conductivity of the surrounding rock can be 2.5 W / (m·K), the inlet air temperature of the ventilation duct can be 18℃, the inlet air velocity can be 8 m / s, the thermal conductivity of the insulation layer can be 0.19 W / (m·K), and the insulation layer thickness can be 12 cm. After inputting the above parameters into the aforementioned multidimensional coupled temperature field model, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can obtain temperature distribution results covering the three areas.
[0124] Based on the temperature distribution results corresponding to the surrounding rock area, the temperature field prediction and control platform for the high-temperature mine tunneling face can read temperature values layer by layer from the boundary of the surrounding rock to the depth, and identify the change position of the original rock temperature isotherm relative to the undisturbed state, thereby extracting the range of the heat regulation zone; at the same time, adjacent radial position points can be selected near the roadway wall, and the temperature gradient of the roadway wall can be extracted based on the temperature difference and distance relationship between adjacent positions to obtain the characteristics of the surrounding rock area.
[0125] Taking this working condition as an example, if the temperature of the deep surrounding rock is close to 45°C, while the temperature of the surrounding rock near the roadway boundary is significantly lower, it can be determined that there is a thermal disturbance zone near the wall of the surrounding rock; if the distance that the thermal disturbance zone extends into the deep surrounding rock decreases after the insulation layer is laid, it indicates that the range of the heat regulation zone has shrunk.
[0126] Based on the temperature distribution results corresponding to the airflow areas in the aforementioned roadways, the temperature field prediction and control platform for high-temperature mine tunneling faces can set multiple extraction sections along the length of the roadway and read the airflow temperature at each section to obtain the airflow temperature distribution within the roadway. Then, the corresponding airflow temperature is extracted at the roadway exit section to obtain the roadway exit air temperature, thus forming the airflow area characteristics. Taking this working condition as an example, if the inlet air temperature is 18℃, but the air temperature at the roadway exit is higher than 18℃, it indicates that the airflow has absorbed heat and increased in temperature within the roadway. If the outlet air temperature is lower for a particular working condition compared to other working conditions, it indicates that the ventilation or insulation configuration for that working condition is more conducive to controlling heat entering the airflow.
[0127] Based on the temperature distribution results corresponding to the aforementioned insulation layer region, the temperature field prediction and control platform for the high-temperature mine tunneling face can extract the temperature values of the insulation layer wall near the surrounding rock and the wall near the airflow to determine the temperature difference between the inner and outer walls of the insulation layer. Simultaneously, it can extract temperature values at multiple locations along the insulation layer thickness to determine the insulation layer temperature distribution, thereby forming the regional characteristics of the insulation layer. Taking the aforementioned working condition as an example, if the temperature of the insulation layer wall near the surrounding rock is significantly higher than that of the wall near the airflow, it indicates that the heat transfer process within the insulation layer has been significantly weakened; if the temperature decreases significantly along the insulation layer thickness, it indicates that the insulation layer's heat-insulating effect is relatively sufficient.
[0128] After extracting features from the three regions, the aforementioned high-temperature mine tunneling face temperature field prediction and control platform can merge the features of the surrounding rock region, the airflow region, and the insulation layer region to determine the regional feature results. Based on these regional feature results, subsequent temperature field features such as the heat regulation zone, roadway airflow, roadway outlet air temperature, roadway wall temperature gradient, and insulation layer temperature distribution can be further determined. This allows for the quantitative identification of temperature field differences under different current working conditions and provides a specific basis for selecting target control conditions.
[0129] In one embodiment, a device for predicting and controlling the temperature field of a high-temperature mine tunneling face is provided, which corresponds one-to-one with the method for predicting and controlling the temperature field of a high-temperature mine tunneling face described in the above embodiments. For example... Figure 2 As shown, the temperature field prediction and control device for the high-temperature mine tunneling face includes: The first acquisition module 201 is used to acquire the basic parameters of the target tunneling face, including surrounding rock parameters, ventilation parameters, and thermal insulation parameters. The first construction module 202 is used to construct a multidimensional coupled temperature field model of the target tunneling face based on the basic parameters; The first processing module 203 is used to process the current operating condition data corresponding to the basic parameters based on the multidimensional coupled temperature field model to obtain the corresponding temperature field feature results. The first determining module 204 is used to determine the target control conditions of the target tunneling face based on the temperature field characteristic results. The first output module 205 is used to output corresponding control commands based on the target control condition.
[0130] Optionally, the first building module 202 is further configured to: Based on the surrounding rock parameters, ventilation parameters, and thermal insulation parameters, a roadway geometric model of the target tunneling face is constructed. Based on the aforementioned tunnel geometry model, the surrounding rock region, tunnel airflow region, and insulation layer region are determined. Based on the surrounding rock parameters, the heat conduction relationship of the surrounding rock area is established; Based on the ventilation parameters, the flow and heat transfer relationship of the airflow area in the tunnel is established; Based on the aforementioned insulation parameters, the thermal conductivity relationship of the insulation layer region is established; Based on the thermal conduction relationship of the surrounding rock region, the flow heat transfer relationship of the roadway airflow region, and the thermal conductivity relationship of the insulation layer region, the heat transfer coupling relationship between the three regions is determined. Based on the aforementioned heat transfer coupling relationship, the multidimensional coupled temperature field model is constructed.
[0131] Optionally, the first building module 202 is further configured to: Determine the thermal conductivity coupling relationship between the surrounding rock region and the insulation layer region; Determine the heat exchange coupling relationship between the insulation layer area and the airflow area of the tunnel; Based on the aforementioned thermal conduction coupling relationship, heat transfer coupling relationship, and the heat transfer sequence between the surrounding rock area, the insulation layer area, and the roadway airflow area, a coupled heat transfer path between the three areas is established. Based on the coupled heat transfer path, the heat transfer coupling relationship between the three regions is determined.
[0132] Optionally, the first building module 202 is further configured to: Establish a heat conduction path within the surrounding rock area from the high-temperature region to the adjacent insulation layer region; Establish a heat transfer path at the interface between the surrounding rock area and the insulation layer area; Establish a heat transfer path within the insulation layer area from the side closest to the surrounding rock to the side closest to the airflow area of the tunnel; Establish a heat transfer path at the interface between the insulation layer area and the airflow area of the tunnel. The heat conduction path inside the surrounding rock area, the heat transfer path at the interface between the surrounding rock area and the insulation layer area, the heat transfer path inside the insulation layer area, and the heat transfer path at the interface between the insulation layer area and the roadway airflow area are sequentially associated to obtain the coupled heat transfer path between the three areas.
[0133] Optionally, the first building module 202 is further configured to: Based on the surrounding rock region, the tunnel airflow region, and the insulation layer region, the tunnel geometric model is divided into regions, and the region division results are determined. Based on the surrounding rock parameters, ventilation parameters, and thermal insulation parameters, parameter values are assigned to each of the divided areas to determine the area parameters; Based on the heat transfer coupling relationship, inter-regional heat transfer boundary conditions are set for the surrounding rock region, the roadway airflow region, and the insulation layer region, and the boundary conditions are determined. Based on the region division results, region parameters, and boundary conditions, the roadway geometric model is optimized by mesh division to obtain the multidimensional coupled temperature field model.
[0134] Optionally, the first processing module 203 is further configured to: Input the current operating condition data corresponding to the basic parameters into the multidimensional coupled temperature field model to obtain the temperature distribution results; Based on the temperature distribution results, the regional temperature characteristics corresponding to the surrounding rock area, the tunnel airflow area and the insulation layer area are extracted to obtain the regional characteristic results. Based on the regional feature results, the corresponding temperature field feature results are determined.
[0135] Optionally, the first processing module 203 is further configured to: Based on the temperature distribution results corresponding to the surrounding rock area, the range of the heating zone and the temperature gradient of the roadway wall are extracted to obtain the characteristics of the surrounding rock area. Based on the temperature distribution results corresponding to the airflow area in the tunnel, the airflow temperature distribution in the tunnel and the air temperature at the tunnel exit are extracted to obtain the characteristics of the airflow area. Based on the temperature distribution results corresponding to the insulation layer region, the temperature difference between the inner and outer walls of the insulation layer and the temperature distribution of the insulation layer are extracted to obtain the characteristics of the insulation layer region. Based on the characteristics of the surrounding rock area, the characteristics of the airflow area, and the characteristics of the insulation layer area, the regional characteristics are determined.
[0136] Specific limitations regarding the temperature field prediction and control device for high-temperature mine tunneling faces can be found in the limitations of the temperature field prediction and control method for high-temperature mine tunneling faces mentioned above, and will not be repeated here. Each module in the aforementioned temperature field prediction and control device for high-temperature mine tunneling faces can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.
[0137] like Figure 3 As shown, this embodiment of the invention also provides an electronic device 300, including a processor, which can execute any of the above-mentioned methods for predicting and controlling the temperature field of a high-temperature mine tunneling face.
[0138] Specifically, it includes a processor 301 and a memory 302, as well as a computer program stored in the memory 302 and capable of running on the processor 301, which executes a method for predicting and controlling the temperature field of a high-temperature mine tunneling face, wherein: The processor 301 executes the calculator program stored in the memory 302, which contains a method for predicting and controlling the temperature field of high-temperature mine tunneling faces, and performs the following steps: Obtain the basic parameters of the target tunneling face, including surrounding rock parameters, ventilation parameters, and thermal insulation parameters; Based on the aforementioned basic parameters, a multidimensional coupled temperature field model of the target tunneling face is constructed. Based on the multidimensional coupled temperature field model, the current operating condition data corresponding to the basic parameters are processed to obtain the corresponding temperature field characteristic results; Based on the temperature field characteristics, the target control conditions for the target tunneling face are determined. Based on the target control condition, the corresponding control command is output.
[0139] Optionally, the processor 301 executes the construction of a multidimensional coupled temperature field model of the target tunneling face based on the basic parameters, including: Based on the surrounding rock parameters, ventilation parameters, and thermal insulation parameters, a roadway geometric model of the target tunneling face is constructed. Based on the aforementioned tunnel geometry model, the surrounding rock region, tunnel airflow region, and insulation layer region are determined. Based on the surrounding rock parameters, the heat conduction relationship of the surrounding rock area is established; Based on the ventilation parameters, the flow and heat transfer relationship of the airflow area in the tunnel is established; Based on the aforementioned insulation parameters, the thermal conductivity relationship of the insulation layer region is established; Based on the thermal conduction relationship of the surrounding rock region, the flow heat transfer relationship of the roadway airflow region, and the thermal conductivity relationship of the insulation layer region, the heat transfer coupling relationship between the three regions is determined. Based on the aforementioned heat transfer coupling relationship, the multidimensional coupled temperature field model is constructed.
[0140] Optionally, the processor 301 executes the determination of the heat transfer coupling relationship between the three regions based on the thermal conduction relationship of the surrounding rock region, the flow heat transfer relationship of the roadway airflow region, and the thermal conductivity relationship of the insulation layer region, including: Determine the thermal conductivity coupling relationship between the surrounding rock region and the insulation layer region; Determine the heat exchange coupling relationship between the insulation layer area and the airflow area of the tunnel; Based on the aforementioned thermal conduction coupling relationship, heat transfer coupling relationship, and the heat transfer sequence between the surrounding rock area, the insulation layer area, and the roadway airflow area, a coupled heat transfer path between the three areas is established. Based on the coupled heat transfer path, the heat transfer coupling relationship between the three regions is determined.
[0141] Optionally, the processor 301 executes the process of establishing a coupled heat transfer path between the three regions based on the thermal conduction coupling relationship, the heat transfer coupling relationship, and the heat transfer sequence between the surrounding rock region, the insulation layer region, and the roadway airflow region, including: Establish a heat conduction path within the surrounding rock area from the high-temperature region to the adjacent insulation layer region; Establish a heat transfer path at the interface between the surrounding rock area and the insulation layer area; Establish a heat transfer path within the insulation layer area from the side closest to the surrounding rock to the side closest to the airflow area of the tunnel; Establish a heat transfer path at the interface between the insulation layer area and the airflow area of the tunnel. The heat conduction path inside the surrounding rock area, the heat transfer path at the interface between the surrounding rock area and the insulation layer area, the heat transfer path inside the insulation layer area, and the heat transfer path at the interface between the insulation layer area and the roadway airflow area are sequentially associated to obtain the coupled heat transfer path between the three areas.
[0142] Optionally, the processor 301 executes the construction of the multidimensional coupled temperature field model based on the heat transfer coupling relationship, including: Based on the surrounding rock region, the tunnel airflow region, and the insulation layer region, the tunnel geometric model is divided into regions, and the region division results are determined. Based on the surrounding rock parameters, ventilation parameters, and thermal insulation parameters, parameter values are assigned to each of the divided areas to determine the area parameters; Based on the heat transfer coupling relationship, inter-regional heat transfer boundary conditions are set for the surrounding rock region, the roadway airflow region, and the insulation layer region, and the boundary conditions are determined. Based on the region division results, region parameters, and boundary conditions, the roadway geometric model is optimized by mesh division to obtain the multidimensional coupled temperature field model.
[0143] Optionally, the processor 301 executes the process based on the multidimensional coupled temperature field model to process the current operating condition data corresponding to the basic parameters, and obtains the corresponding temperature field feature results, including: Input the current operating condition data corresponding to the basic parameters into the multidimensional coupled temperature field model to obtain the temperature distribution results; Based on the temperature distribution results, the regional temperature characteristics corresponding to the surrounding rock area, the tunnel airflow area and the insulation layer area are extracted to obtain the regional characteristic results. Based on the regional feature results, the corresponding temperature field feature results are determined.
[0144] Optionally, the processor 301 executes the temperature distribution results based on the surrounding rock area to extract the range of the heating zone and the temperature gradient of the roadway wall, thereby obtaining the characteristics of the surrounding rock area. Based on the temperature distribution results corresponding to the airflow area in the tunnel, the airflow temperature distribution in the tunnel and the air temperature at the tunnel exit are extracted to obtain the characteristics of the airflow area. Based on the temperature distribution results corresponding to the insulation layer region, the temperature difference between the inner and outer walls of the insulation layer and the temperature distribution of the insulation layer are extracted to obtain the characteristics of the insulation layer region. Based on the characteristics of the surrounding rock area, the characteristics of the airflow area, and the characteristics of the insulation layer area, the regional characteristics are determined.
[0145] This invention also provides a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the various processes of the high-temperature mine tunneling face temperature field prediction and control method or the application-side high-temperature mine tunneling face temperature field prediction and control method provided in this invention, and achieves the same technical effect. To avoid repetition, it will not be described again here.
[0146] Those skilled in the art will understand that implementing all or part of the processes in the above embodiments can be done by a computer program instructing related hardware, and can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.
[0147] The above description discloses only preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. Therefore, equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.
Claims
1. A method for predicting and controlling the temperature field of a high-temperature mine tunneling face, characterized in that, include: Obtain the basic parameters of the target tunneling face, including surrounding rock parameters, ventilation parameters, and thermal insulation parameters; Based on the aforementioned basic parameters, a multidimensional coupled temperature field model of the target tunneling face is constructed. Based on the multidimensional coupled temperature field model, the current operating condition data corresponding to the basic parameters are processed to obtain the corresponding temperature field characteristic results; Based on the temperature field characteristics, the target control conditions for the target tunneling face are determined. Based on the target control condition, output the corresponding control command; The construction of the multidimensional coupled temperature field model of the target tunneling face based on the aforementioned basic parameters includes: Based on the surrounding rock parameters, ventilation parameters, and thermal insulation parameters, a roadway geometric model of the target tunneling face is constructed. Based on the aforementioned tunnel geometry model, the surrounding rock region, tunnel airflow region, and insulation layer region are determined. Based on the surrounding rock parameters, the heat conduction relationship of the surrounding rock area is established; Based on the ventilation parameters, the flow and heat transfer relationship of the airflow area in the tunnel is established; Based on the aforementioned insulation parameters, the thermal conductivity relationship of the insulation layer region is established; Based on the thermal conduction relationship of the surrounding rock region, the flow heat transfer relationship of the roadway airflow region, and the thermal conductivity relationship of the insulation layer region, the heat transfer coupling relationship between the three regions is determined. Based on the aforementioned heat transfer coupling relationship, the multidimensional coupled temperature field model is constructed. The process of processing the current operating condition data corresponding to the basic parameters based on the multidimensional coupled temperature field model to obtain the corresponding temperature field characteristic results includes: Input the current operating condition data corresponding to the basic parameters into the multidimensional coupled temperature field model to obtain the temperature distribution results; Based on the temperature distribution results, the regional temperature characteristics corresponding to the surrounding rock area, the tunnel airflow area and the insulation layer area are extracted to obtain the regional characteristic results. Based on the regional feature results, the corresponding temperature field feature results are determined.
2. The method for predicting and controlling the temperature field of a high-temperature mine tunneling face as described in claim 1, characterized in that, The determination of the heat transfer coupling relationship between the three regions based on the thermal conduction relationship of the surrounding rock region, the flow heat transfer relationship of the roadway airflow region, and the thermal conductivity relationship of the insulation layer region includes: Determine the thermal conductivity coupling relationship between the surrounding rock region and the insulation layer region; Determine the heat exchange coupling relationship between the insulation layer area and the airflow area of the tunnel; Based on the aforementioned thermal conduction coupling relationship, heat transfer coupling relationship, and the heat transfer sequence between the surrounding rock area, the insulation layer area, and the roadway airflow area, a coupled heat transfer path between the three areas is established. Based on the coupled heat transfer path, the heat transfer coupling relationship between the three regions is determined.
3. The method for predicting and controlling the temperature field of a high-temperature mine tunneling face as described in claim 2, characterized in that, Based on the aforementioned thermal conduction coupling relationship, heat transfer coupling relationship, and the heat transfer sequence between the surrounding rock region, the insulation layer region, and the roadway airflow region, a coupled heat transfer path is established between the three regions, including: Establish a heat conduction path within the surrounding rock area from the high-temperature region to the adjacent insulation layer region; Establish a heat transfer path at the interface between the surrounding rock area and the insulation layer area; Establish a heat transfer path within the insulation layer area from the side closest to the surrounding rock to the side closest to the airflow area of the tunnel; Establish a heat transfer path at the interface between the insulation layer area and the airflow area of the tunnel. The heat conduction path inside the surrounding rock area, the heat transfer path at the interface between the surrounding rock area and the insulation layer area, the heat transfer path inside the insulation layer area, and the heat transfer path at the interface between the insulation layer area and the roadway airflow area are sequentially associated to obtain the coupled heat transfer path between the three areas.
4. The method for predicting and controlling the temperature field of a high-temperature mine tunneling face as described in claim 1, characterized in that, The construction of the multidimensional coupled temperature field model based on the heat transfer coupling relationship includes: Based on the surrounding rock region, the tunnel airflow region, and the insulation layer region, the tunnel geometric model is divided into regions, and the region division results are determined. Based on the surrounding rock parameters, ventilation parameters, and thermal insulation parameters, parameter values are assigned to each of the divided areas to determine the area parameters; Based on the heat transfer coupling relationship, inter-regional heat transfer boundary conditions are set for the surrounding rock region, the roadway airflow region, and the insulation layer region, and the boundary conditions are determined. Based on the region division results, region parameters, and boundary conditions, the roadway geometric model is optimized by mesh division to obtain the multidimensional coupled temperature field model.
5. The method for predicting and controlling the temperature field of a high-temperature mine tunneling face as described in claim 1, characterized in that, Based on the temperature distribution results, the regional temperature characteristics corresponding to the surrounding rock area, the tunnel airflow area, and the insulation layer area are extracted to obtain regional characteristic results, including: Based on the temperature distribution results corresponding to the surrounding rock area, the range of the heating zone and the temperature gradient of the roadway wall are extracted to obtain the characteristics of the surrounding rock area. Based on the temperature distribution results corresponding to the airflow area in the tunnel, the airflow temperature distribution in the tunnel and the air temperature at the tunnel exit are extracted to obtain the characteristics of the airflow area. Based on the temperature distribution results corresponding to the insulation layer region, the temperature difference between the inner and outer walls of the insulation layer and the temperature distribution of the insulation layer are extracted to obtain the characteristics of the insulation layer region. Based on the characteristics of the surrounding rock area, the characteristics of the airflow area, and the characteristics of the insulation layer area, the regional characteristics are determined.
6. A device for predicting and controlling the temperature field of a high-temperature mine tunneling face, realizing the method for predicting and controlling the temperature field of a high-temperature mine tunneling face as described in claim 1, characterized in that, include: The first acquisition module is used to acquire the basic parameters of the target tunneling face, including surrounding rock parameters, ventilation parameters, and thermal insulation parameters; The first construction module is used to construct a multidimensional coupled temperature field model of the target tunneling face based on the basic parameters. The first processing module is used to process the current operating condition data corresponding to the basic parameters based on the multidimensional coupled temperature field model to obtain the corresponding temperature field feature results. The first determining module is used to determine the target control conditions of the target tunneling face based on the temperature field characteristics. The first output module is used to output corresponding control commands based on the target control condition.
7. An electronic device, characterized in that, include: The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps in the method for predicting and controlling the temperature field of a high-temperature mine tunneling face as described in any one of claims 1 to 5.
8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the method for predicting and controlling the temperature field of a high-temperature mine tunneling face as described in any one of claims 1 to 5.