A ventilation and cooling simulation test system for deep mines

Abstract

The present invention relates to the technical field of ventilation and cooling simulation testing, and specifically discloses a ventilation and cooling simulation testing system for deep mines. The system is used to monitor the environmental parameters of different tunneling tunnels of the gold mine in real time by deploying multiple sensor nodes in the gold mine. Furthermore, the compliance coefficient of the ventilation rate of each tunneling tunnel of the gold mine is judged. The system is tested and judged. When it is detected that the compliance coefficient of the ventilation rate of a certain tunneling tunnel does not meet the standard, a simulation model is used to simulate different types of cooling materials, thereby obtaining a comprehensive cooling performance score of each type of cooling material in each simulated tunnel. Based on the comprehensive cooling performance score of each type of cooling material in each simulated tunnel, the best cooling material type suitable for each simulated tunnel is determined. This system can not only dynamically adjust and optimize the material use strategy and adapt to changes in the mine environment, but also improve the overall safety and production efficiency of the mine.

Description

Technical Field

[0001] The invention belongs to the technical field of ventilation and cooling simulation testing, and relates to a ventilation and cooling simulation testing system for a deep mine. Background Art

[0002] Ventilation and cooling are crucial within gold mines because temperatures deep within them are extremely high. Failure to maintain timely ventilation and cooling can lead to a variety of serious problems. First, high temperatures pose a serious threat to miners' health, potentially causing dangerous conditions such as heatstroke and dehydration. Second, high temperatures increase humidity within the mine, deteriorating air quality, affecting miners' breathing and even causing respiratory illnesses. Furthermore, high temperatures accelerate the aging of equipment, shortening its service life and increasing maintenance costs.

[0003] Existing materials analysis techniques for evaluating gold mine cooling materials typically focus on a single performance metric, such as thermal conductivity or hygroscopicity. While this approach can provide specific data on a particular aspect of a material's performance, it overlooks the material's overall performance in actual applications. Mining environments are complex and constantly changing, requiring materials to possess not only excellent thermal conductivity for effective heat dissipation but also stable hygroscopicity under high humidity conditions. This single-metric analysis method cannot fully reflect a material's performance over long-term use, potentially resulting in substandard performance in actual applications. Summary of the Invention

[0004] In view of the above problems existing in the prior art, the present invention provides a ventilation and cooling simulation test system for deep mines, which is used to solve the above technical problems.

[0005] In order to achieve the above-mentioned and other purposes, the technical solutions adopted by the present invention are as follows:

[0006] A first aspect of the present invention provides a ventilation and cooling simulation test system for deep mines, comprising a sensor network deployment module, a ventilation compliance judgment module, a cooling material storage terminal, a cooling simulation test module, and a cooling material screening module. The modules are connected via wired and / or wireless connections to enable data transmission between the modules.

[0007] The sensor network deployment module, which deploys multiple sensor nodes in the gold mine to monitor the environmental parameters of different tunnels in real time.

[0008] The ventilation compliance judgment module determines the ventilation rate compliance coefficient of each tunnel in the gold mine; and performs detection and judgment. When it is detected that the ventilation rate compliance coefficient of a tunnel does not meet the standard, the cooling simulation test module is activated;

[0009] Cooling material storage terminal, used to store material parameters corresponding to various types of cooling materials;

[0010] The cooling simulation test module records each tunneling tunnel whose ventilation rate meets the standard coefficient as a simulated tunnel, and uses the simulation model to simulate different types of cooling materials, thereby obtaining a comprehensive score of the cooling performance of each type of cooling material in each simulated tunnel;

[0011] The cooling material screening module determines the best cooling material type for each simulated lane based on the comprehensive cooling performance scores of each type of cooling material in each simulated lane.

[0012] According to a preferred embodiment, the specific judgment process for determining the ventilation rate compliance coefficient of each tunnel in the gold mine is as follows:

[0013] The environmental parameters of the gold mine corresponding to different tunneling tunnels include air temperature , relative humidity , underground heat and atmospheric pressure ; Calculate the air density of each tunnel in the gold mine , is the air constant, is the virtual temperature of the kth tunnel in the gold mine, and the calculation formula is: ; k is the number of each excavation tunnel;

[0014] Obtain the total number of mechanical equipment in each tunnel of the gold mine and the equipment power of each mechanical equipment, thereby estimating the heat of the mechanical equipment in each tunnel of the gold mine, and summing it with the underground heat of each tunnel of the gold mine to obtain the heat load of each tunnel of the gold mine ; Estimate the expected ventilation volume required for each tunnel of the gold mine based on the heat load and air density of each tunnel of the gold mine , c is the specific heat capacity of air, It is the pre-set allowable temperature rise value;

[0015] The path positions of the gold mine shaft corresponding to each tunneling tunnel are imported into the corresponding three-dimensional model diagram of the gold mine shaft to obtain the tunnel cross-sectional area of ​​each tunneling tunnel of the gold mine shaft. Based on the deployed sensor nodes, the average wind speed of each tunneling tunnel of the gold mine shaft is obtained, and the average wind speed is multiplied by the tunnel cross-sectional area of ​​each tunneling tunnel of the gold mine shaft to obtain the actual ventilation volume of each tunneling tunnel of the gold mine shaft.

[0016] The product of the actual ventilation volume of each heading tunnel of the gold mine and the set path correction coefficient is used as the numerator of the fraction, and the expected required ventilation volume of each heading tunnel of the gold mine is used as the denominator of the fraction. The fraction is solved to obtain the ventilation rate compliance coefficient of each heading tunnel of the gold mine.

[0017] According to a preferred embodiment, a simulation model is used to simulate different types of cooling materials. The specific simulation steps are as follows:

[0018] Collecting geometric data and structural characteristics of each simulated roadway, wherein the geometric data includes length, width, and height, and the structural characteristics include shape and physical properties of the surrounding rock formations;

[0019] Using virtual reality technology to build a three-dimensional gold mine model, and through multi-field coupling simulation technology, combining different physical fields, including temperature field, fluid field and structural field, to achieve a comprehensive simulation of the gold mine environment;

[0020] The basic parameters of air flow in each simulated tunnel within the 3D gold mine model were set, including initial temperature, humidity, pressure, and air flow speed and direction. Computational fluid dynamics software was then used to perform a detailed simulation of the air flow in each simulated tunnel.

[0021] Based on the material parameters corresponding to each type of cooling material stored in the cooling material storage terminal, the corresponding physical and chemical characteristic parameters of each type of cooling material are extracted. The thermal conductivity characteristics of each type of cooling material are introduced into the 3D gold mine model. In the simulation environment, specific thermal conductivity parameters are set for each type of cooling material. Then, the heat transfer process of each type of cooling material under different temperature conditions in each simulated tunnel is simulated using the heat conduction equation.

[0022] At the same time, the simulation test adjusts the temperature and humidity parameters of each simulated tunnel in the simulation environment according to the climate data of the gold mine corresponding to different seasons, so as to simulate the performance of various types of cooling materials under extreme conditions; in addition, the changes in the total heat generated by the operation of equipment in each simulated tunnel are simultaneously taken into account in the simulation test.

[0023] According to a preferred embodiment, a comprehensive score of the cooling performance of each type of cooling material in each simulated tunnel is obtained, and the specific calculation formula is:

[0024] Based on the simulation model, the cooling scores of various types of cooling materials in each simulated tunnel are obtained. , heat absorption efficiency score and environmental regulation scores ;

[0025] c is the number of each type of cooling material, and j is the number of each simulated lane;

[0026] The comprehensive scores of cooling performance of various types of cooling materials in each simulated tunnel are calculated based on this ,in are predefined weight compensation factors, and .

[0027] According to a preferred embodiment, the cooling scores of various types of cooling materials in each simulated tunnel are The calculation logic is:

[0028] According to the simulation model, the temperature reduction of each type of cooling material in each simulated tunnel is obtained , cooling rate and the time required to achieve the target temperature reduction ;

[0029] The cooling scores of various types of cooling materials in each simulated tunnel are calculated accordingly. ,in Score the temperature reduction of the cth type cooling material in the jth simulation tunnel, , are the minimum and maximum temperature reductions of the cth type of cooling material in the simulated tunnel, They are the distribution weight factors corresponding to the temperature reduction amount, cooling rate, cooling time and degree adaptation;

[0030] According to the calculation formula of the temperature reduction score of each type of cooling material in each simulated tunnel, the cooling rate score of each type of cooling material in each simulated tunnel is calculated in the same way. and temperature stability score ;

[0031] The temperature adaptability score of the c-th type of cooling material in the j-th simulation tunnel is calculated as follows:

[0032] In the simulation test, multiple initial temperature values ​​are set to measure the temperature drop of each type of cooling material in each simulated tunnel at each initial temperature. , v is the number corresponding to each initial temperature value;

[0033] The temperature reduction of each type of cooling material in each simulation lane at each initial temperature is standardized according to the standardization formula to obtain the standardized temperature reduction of each type of cooling material in each simulation lane at each initial temperature. ;

[0034] Calculate the adaptability coefficient of each type of cooling material in each simulated tunnel at each initial temperature , To set the initial temperature value of the vth;

[0035] The adaptability coefficients of each type of cooling material in each simulated tunnel at each initial temperature are first summed and then averaged to obtain the overall adaptability of each type of cooling material in each simulated tunnel. Similarly, based on the calculation method of the calculation formula for the temperature reduction score of each type of cooling material in each simulated tunnel, the temperature adaptation score of each type of cooling material in each simulated tunnel is calculated.

[0036] According to a preferred embodiment, the heat absorption efficiency scores of various types of cooling materials in each simulated tunnel are The calculation logic is:

[0037] Calculate the heat absorption value of each type of cooling material in each simulated tunnel at each simulation time point , g is the number of each simulation time point, d is the integral symbol; is the surface area of ​​the cth type cooling material in contact with the jth simulation tunnel, is the thermal conductivity coefficient of the cth type cooling material, is the instantaneous temperature difference of the cth type cooling material in the jth simulation lane at the gth simulation time point;

[0038] Then calculate the heat absorption efficiency of each type of cooling material in each simulation tunnel at each simulation time point , are the specific heat capacity and density of the cth type of cooling material, is the volume of the cth type of cooling material in the jth simulation lane;

[0039] This constructs the scoring formula , and obtain the heat absorption efficiency scores of various types of cooling materials in each simulated tunnel , is the total simulation time, Indicates the impact factor of simulation time on efficiency.

[0040] According to a preferred embodiment, the calculation formula for the instantaneous temperature difference of each type of cooling material in each simulated lane corresponding to each simulation time point is:

[0041] Obtain the material surface temperature of each type of cooling material in each simulation lane corresponding to the current simulation time point And the ambient temperature in each simulated lane corresponding to the current simulation time point ;

[0042] The surface temperature of each type of cooling material in each simulation tunnel corresponding to the next simulation time point is thus predicted. , is the time step between the current simulation time point and the next simulation time point;

[0043] According to the above calculation method, the material surface temperature of each type of cooling material at the next simulation time point corresponding to each simulation time point in each simulation lane is calculated. ;

[0044] The material surface temperature of each type of cooling material in each simulation lane at the next simulation time point corresponding to each simulation time point is subtracted from the material surface temperature of each type of cooling material in each simulation lane at the current simulation time point, thereby obtaining the instantaneous temperature difference of each type of cooling material in each simulation lane at each simulation time point.

[0045] According to a preferred embodiment, the environmental adjustment score of each type of cooling material in each simulated tunnel is The calculation logic is:

[0046] Get the temperature in each simulated tunnel at the initial simulation time point, i.e., g=0 , and the final temperature of each type of cooling material in each simulated tunnel at the end of the simulation , and calculate the temperature regulation score of each type of cooling material in each simulated tunnel , is the external ambient temperature of the cth type cooling material in the jth simulation lane corresponding to the gth simulation time point, G is the total number of simulation time points, is the reference score corresponding to the unit temperature value;

[0047] Obtain the humidity in each simulation lane at the initial simulation time point, the final humidity of each type of cooling material in each simulation lane at the end of the simulation, and the external environment humidity of each type of cooling material in each simulation lane at each simulation time point. Similarly, calculate the humidity adjustment score of each type of cooling material in each simulation lane. ;

[0048] The total heat generated by the operation of the equipment in each simulated lane is used as the denominator of the fraction, and the heat of the equipment absorbing each type of cooling material in each simulated lane is used as the numerator of the fraction. The fraction is solved and the result is used as the heat absorption score of each type of cooling material in each simulated lane. ;

[0049] Finally, calculate the environmental adjustment scores of each type of cooling material in each simulated tunnel , are the weight ratio indexes set respectively, and .

[0050] According to a preferred embodiment, the specific determination logic for determining the optimal cooling material type for each simulated roadway is:

[0051] According to the comprehensive cooling performance scores of various types of cooling materials in each simulated tunnel, the cooling material type with the highest comprehensive cooling performance score in each simulated tunnel is selected as the optimal cooling material type for each simulated tunnel.

[0052] A second aspect of the present invention provides a ventilation and cooling simulation test device for a deep mine, comprising a processor, a memory, and a communication bus;

[0053] The memory stores a computer-readable program executable by the processor;

[0054] The communication bus realizes the connection and communication between the processor and the memory;

[0055] When the processor executes the computer-readable program, it is implemented to implement a ventilation and cooling simulation test system for a deep mine as described in the present invention.

[0056] As described above, the ventilation and cooling simulation test system for deep mines provided by the present invention has at least the following beneficial effects:

[0057] (1) The present invention provides a ventilation and cooling simulation test system for deep mines. By deploying multiple sensor nodes in a gold mine to monitor the environmental parameters of different tunnels in real time, it can provide accurate environmental data to help determine whether the ventilation rate of each tunnel meets the coefficient. This real-time monitoring approach helps to promptly identify tunnels that do not meet the ventilation standards, so that effective measures can be taken to adjust them. When the ventilation rate of a tunnel does not meet the standards, the simulation model is used to simulate different types of cooling materials, which can effectively evaluate the performance of various materials under specific environmental conditions. Through simulation, a comprehensive score of the cooling performance of various types of cooling materials in the simulated tunnel can be quickly obtained. This method not only saves a lot of time and resources, but also avoids the high cost and potential risks of frequent testing in actual mines.

[0058] (2) The embodiment of the present invention can determine the most suitable type of cooling material for each simulated tunnel through comprehensive scoring, ensuring that the application of the material not only meets the actual needs of the mine, but also maintains an efficient cooling effect under different environmental conditions. In addition, this method can also dynamically adjust and optimize the material usage strategy to adapt to changes in the mine environment and improve the overall safety and production efficiency of the mine. Through this refined analysis and selection, the efficiency of the use of cooling materials can be maximized, and production interruptions and safety hazards caused by improper material selection can be reduced, thereby ensuring the sustainable operation of the mine and the safety of workers. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0060] Figure 1 Schematic diagram of the connection of various modules of the system of the present invention. DETAILED DESCRIPTION

[0061] The above contents described below in conjunction with the implementation of the present invention are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they shall fall within the scope of protection of the present invention.

[0062] Example 1

[0063] See also Figure 1 As shown, a ventilation and cooling simulation test system for deep mines includes a sensor network deployment module, a ventilation compliance judgment module, a cooling material storage terminal, a cooling simulation test module, and a cooling material screening module. The above modules are connected by wired and / or wireless connections to achieve data transmission between the modules.

[0064] The sensor network deployment module is used to monitor the environmental parameters in the gold mine in real time by deploying multiple sensor nodes in the gold mine;

[0065] The sensor network deployment module's sensor nodes include wind speed sensors, temperature sensors, humidity sensors, and gas composition sensors. Multiple sensor nodes are deployed in the gold mine's main ventilation tunnels, working faces, and tunneling faces, forming a dense sensor network that ensures comprehensive and accurate data collection. Self-organizing networking technology enables seamless connectivity between sensor nodes, ensuring stable and real-time data transmission.

[0066] The ventilation compliance judgment module determines the ventilation rate compliance coefficient of each tunnel in the gold mine; and performs detection and judgment. When it is detected that the ventilation rate compliance coefficient of a tunnel does not meet the standard, the cooling simulation test module is activated;

[0067] The specific judgment process for determining the ventilation rate compliance coefficient of each tunnel in a gold mine is as follows:

[0068] The environmental parameters of the gold mine corresponding to different tunneling tunnels include air temperature , relative humidity , underground heat and atmospheric pressure ; Calculate the air density of each tunnel in the gold mine , is the air constant, is the virtual temperature of the kth tunnel in the gold mine, and the calculation formula is: ; k is the number of each excavation tunnel;

[0069] Obtain the total number of mechanical equipment in each tunnel of the gold mine and the equipment power of each mechanical equipment, thereby estimating the heat of the mechanical equipment in each tunnel of the gold mine, and summing it with the underground heat of each tunnel of the gold mine to obtain the heat load of each tunnel of the gold mine ; Estimate the expected ventilation volume required for each tunnel of the gold mine based on the heat load and air density of each tunnel of the gold mine , c is the specific heat capacity of air, It is the pre-set allowable temperature rise value;

[0070] The path positions of the gold mine shaft corresponding to each tunneling tunnel are imported into the corresponding three-dimensional model diagram of the gold mine shaft to obtain the tunnel cross-sectional area of ​​each tunneling tunnel of the gold mine shaft. Based on the deployed sensor nodes, the average wind speed of each tunneling tunnel of the gold mine shaft is obtained, and the average wind speed is multiplied by the tunnel cross-sectional area of ​​each tunneling tunnel of the gold mine shaft to obtain the actual ventilation volume of each tunneling tunnel of the gold mine shaft.

[0071] The product of the actual ventilation volume of each heading tunnel of the gold mine and the set path correction coefficient is used as the numerator of the fraction, and the expected required ventilation volume of each heading tunnel of the gold mine is used as the denominator of the fraction. The fraction is solved to obtain the ventilation rate compliance coefficient of each heading tunnel of the gold mine.

[0072] The specific calculation process of the path correction coefficient of each tunneling tunnel in the gold mine is as follows:

[0073] Get the number of twists and turns of each tunnel in the gold mine and the degree of tortuosity of each twist;

[0074] The mean value of the tortuosity of each tortuosity is calculated to obtain the average tortuosity of each tunnel in the gold mine. ; Calculate the evaluation coefficient of the influence of the tortuosity of each tunnel in the gold mine on the ventilation efficiency ;

[0075] Get the tunnel slope percentage of each tunnel corresponding to the gold mine , calculate the evaluation coefficient of the influence of the slope of each tunnel in the gold mine on the ventilation efficiency ;

[0076] Then calculate the evaluation coefficient of the roughness of each tunnel in the gold mine that affects the ventilation efficiency ; is the quantitative value of the surface roughness of the tunnel, is the surface roughness evaluation coefficient of the kth heading roadway in the gold mine;

[0077] The path correction coefficient of each tunnel in the gold mine is calculated from this .

[0078] The ventilation rate compliance coefficient of each tunnel in the gold mine is tested and judged. The specific judgment process is as follows:

[0079] The ventilation rate compliance coefficient of each heading tunnel of the gold mine is compared with 1. If the ventilation rate compliance coefficient of a heading tunnel corresponding to the gold mine is greater than or equal to 1, then the ventilation rate compliance coefficient of the heading tunnel is judged to meet the standard; otherwise, it is judged that the ventilation rate compliance coefficient of the heading tunnel does not meet the standard.

[0080] Cooling materials typically have excellent thermal conductivity and heat absorption properties, absorbing and dissipating heat in high-temperature environments, thereby lowering the overall temperature within the tunnel. This temperature-regulating effect reduces the burden on the ventilation system, allowing it to focus more on airflow management and the emission of harmful gases. Deep mines, in particular, often struggle to achieve ideal temperature control through ventilation systems alone due to geothermal heat and heat generated by mechanical equipment. The application of cooling materials provides strong support for the ventilation system, making temperature control more efficient throughout the entire environment. Therefore, laying cooling materials serves not only to improve the mine's temperature environment but also to enhance the overall efficiency of the ventilation system. This two-pronged approach not only addresses the issue of excessive temperatures but also enhances ventilation, providing a solid foundation for mine safety and worker health.

[0081] A cooling simulation test module, which is connected to the ventilation compliance judgment module and the cooling material storage terminal. It records each tunneling roadway whose ventilation rate compliance coefficient does not meet the standard as a simulated roadway. It uses a simulation model to simulate different types of cooling materials, thereby obtaining a comprehensive cooling performance score for each type of cooling material in each simulated roadway.

[0082] The different types of cooling materials commonly used in gold mine tunnels mainly include the following types:

[0083] Phase change materials (PCM): Utilize the phase change process of the material to absorb or release a large amount of heat to regulate temperature;

[0084] Hygroscopic materials: They lower the temperature by absorbing moisture from the air, such as silica gel and zeolite;

[0085] Reflective materials: Reduce heat absorption by reflecting thermal radiation, such as reflective coatings and films;

[0086] Insulation materials: reduce heat conduction, commonly used materials include mineral wool, glass fiber, etc.;

[0087] The simulation model is used to simulate different types of cooling materials. The specific simulation steps are as follows:

[0088] Collecting geometric data and structural characteristics of each simulated roadway, wherein the geometric data includes length, width, and height, and the structural characteristics include shape and physical properties of the surrounding rock formations;

[0089] Using virtual reality technology to build a three-dimensional gold mine model, and through multi-field coupling simulation technology, combining different physical fields, including temperature field, fluid field and structural field, to achieve a comprehensive simulation of the gold mine environment;

[0090] The basic parameters of air flow in each simulated tunnel within the 3D gold mine model were set, including initial temperature, humidity, pressure, and air flow speed and direction. Computational fluid dynamics software was then used to perform a detailed simulation of the air flow in each simulated tunnel.

[0091] Based on the material parameters corresponding to each type of cooling material stored in the cooling material storage terminal, the corresponding physical and chemical characteristic parameters of each type of cooling material are extracted. The thermal conductivity characteristics of each type of cooling material are introduced into the 3D gold mine model. In the simulation environment, specific thermal conductivity parameters are set for each type of cooling material. Then, the heat transfer process of each type of cooling material under different temperature conditions in each simulated tunnel is simulated using the heat conduction equation.

[0092] At the same time, the simulation test adjusts the temperature and humidity parameters of each simulated tunnel in the simulation environment according to the climate data of the gold mine corresponding to different seasons, so as to simulate the performance of various types of cooling materials under extreme conditions; in addition, the changes in the total heat generated by the operation of equipment in each simulated tunnel are simultaneously taken into account in the simulation test.

[0093] The comprehensive scores of the cooling performance of each type of cooling material in each simulated tunnel are obtained. The specific calculation formula is:

[0094] Based on the simulation model, the cooling scores of various types of cooling materials in each simulated tunnel are obtained. , heat absorption efficiency score and environmental regulation scores ;

[0095] c is the number of each type of cooling material, and j is the number of each simulated lane;

[0096] The comprehensive scores of cooling performance of various types of cooling materials in each simulated tunnel are calculated based on this ,in are predefined weight compensation factors, and ,and .

[0097] Cooling scores of various types of cooling materials in each simulated tunnel The calculation logic is:

[0098] According to the simulation model, the temperature reduction of each type of cooling material in each simulated tunnel is obtained , cooling rate and the time required to achieve the target temperature reduction ;

[0099] The cooling scores of various types of cooling materials in each simulated tunnel are calculated accordingly. ,in Score the temperature reduction of the cth type cooling material in the jth simulation tunnel, , are the minimum and maximum temperature reductions of the cth type of cooling material in the simulated tunnel, They are the distribution weight factors corresponding to the temperature reduction amount, cooling rate, cooling time and degree adaptation;

[0100] According to the calculation formula of the temperature reduction score of each type of cooling material in each simulated tunnel, the cooling rate score of each type of cooling material in each simulated tunnel is calculated in the same way. and temperature stability score ;

[0101] The temperature adaptability score of the c-th type of cooling material in the j-th simulation tunnel is calculated as follows:

[0102] In the simulation test, multiple initial temperature values ​​are set to measure the temperature drop of each type of cooling material in each simulated tunnel at each initial temperature. , v is the number corresponding to each initial temperature value;

[0103] The temperature reduction of each type of cooling material in each simulation lane at each initial temperature is standardized according to the standardization formula to obtain the standardized temperature reduction of each type of cooling material in each simulation lane at each initial temperature. ;

[0104] Calculate the adaptability coefficient of each type of cooling material in each simulated tunnel at each initial temperature , To set the initial temperature value of the vth;

[0105] The adaptability coefficients of each type of cooling material in each simulated tunnel at each initial temperature are first summed and then averaged to obtain the overall adaptability of each type of cooling material in each simulated tunnel. Similarly, based on the calculation method of the calculation formula for the temperature reduction score of each type of cooling material in each simulated tunnel, the temperature adaptation score of each type of cooling material in each simulated tunnel is calculated.

[0106] Heat absorption efficiency scores of various types of cooling materials in each simulated tunnel The calculation logic is:

[0107] Calculate the heat absorption value of each type of cooling material in each simulated tunnel at each simulation time point , g is the number of each simulation time point, d is the integral symbol; is the surface area of ​​the cth type cooling material in contact with the jth simulation tunnel, is the thermal conductivity coefficient of the cth type cooling material, is the instantaneous temperature difference of the cth type cooling material in the jth simulation lane at the gth simulation time point;

[0108] In the formula, dg′ represents a very small time interval used to integrate the cumulative change in heat over time. This is a concept from calculus used to describe processes that change over time. By integrating, the total amount of heat absorbed by the material over the entire time period can be calculated.

[0109] Then calculate the heat absorption efficiency of each type of cooling material in each simulation tunnel at each simulation time point , are the specific heat capacity and density of the cth type of cooling material, is the volume of the cth type of cooling material in the jth simulation lane;

[0110] This constructs the scoring formula , and obtain the heat absorption efficiency scores of various types of cooling materials in each simulated tunnel , is the total simulation time, Indicates the impact factor of simulation time on efficiency.

[0111] The calculation formula for the instantaneous temperature difference of each type of cooling material in each simulated tunnel at each simulation time point is:

[0112] Obtain the material surface temperature of each type of cooling material in each simulation lane corresponding to the current simulation time point And the ambient temperature in each simulated lane corresponding to the current simulation time point ;

[0113] The surface temperature of each type of cooling material in each simulation tunnel corresponding to the next simulation time point is thus predicted. , is the time step between the current simulation time point and the next simulation time point;

[0114] The second term in the above calculation formula combines the thermal conductivity, specific heat capacity and density to express the response speed of each type of cooling material to temperature changes;

[0115] The third term in the above calculation formula is the ratio of the surface area to volume of each type of cooling material, which indicates the degree of contact between each type of cooling material and the environment;

[0116] According to the above calculation method, the material surface temperature of each type of cooling material at the next simulation time point corresponding to each simulation time point in each simulation lane is calculated. ;

[0117] The material surface temperature of each type of cooling material in each simulation lane at the next simulation time point corresponding to each simulation time point is subtracted from the material surface temperature of each type of cooling material in each simulation lane at the current simulation time point, thereby obtaining the instantaneous temperature difference of each type of cooling material in each simulation lane at each simulation time point.

[0118] Environmental regulation scores of various types of cooling materials in each simulated tunnel The calculation logic is:

[0119] Get the temperature in each simulated tunnel at the initial simulation time point, i.e., g=0 , and the final temperature of each type of cooling material in each simulated tunnel at the end of the simulation , and calculate the temperature regulation score of each type of cooling material in each simulated tunnel , is the external ambient temperature of the cth type cooling material in the jth simulation lane corresponding to the gth simulation time point, G is the total number of simulation time points, is the reference score corresponding to the unit temperature value;

[0120] Get the humidity in each simulated tunnel at the initial simulation time point , each type of cooling material corresponds to the final humidity of each simulated tunnel at the end of the simulation And the external environmental humidity of each type of cooling material in each simulated tunnel at each simulation time point , calculate the humidity adjustment score of each type of cooling material in each simulated tunnel , is the reference score corresponding to the unit humidity value;

[0121] The total heat generated by the operation of the equipment in each simulated lane is used as the denominator of the fraction, and the heat of the equipment absorbing each type of cooling material in each simulated lane is used as the numerator of the fraction. The fraction is solved and the result is used as the heat absorption score of each type of cooling material in each simulated lane. ;

[0122] The material samples were placed in an experimental environment and a heat source device was activated to simulate the heat generated by equipment within the mine. A heat flux meter was used to measure the heat flux density on the material surface, while a temperature sensor was used to record the temperature changes on and within each type of cooling material in each simulated tunnel. The data was continuously monitored and recorded until the temperature changes of the materials stabilized. Finally, by analyzing the heat flux density and temperature change data, the total heat absorbed by each type of cooling material in each simulated tunnel throughout the entire process was calculated.

[0123] Finally, calculate the environmental adjustment scores of each type of cooling material in each simulated tunnel , are the weight ratio indexes set respectively, and .

[0124] The cooling material screening module determines the best cooling material type for each simulated lane based on the comprehensive cooling performance scores of each type of cooling material in each simulated lane.

[0125] The specific logic for determining the best cooling material type for each simulated roadway is as follows:

[0126] According to the comprehensive cooling performance scores of various types of cooling materials in each simulated tunnel, the cooling material type with the highest comprehensive cooling performance score in each simulated tunnel is selected as the optimal cooling material type for each simulated tunnel.

[0127] The cooling material storage terminal is used to store material parameters corresponding to various types of cooling materials, wherein the material parameters corresponding to various types of cooling materials include physical and chemical characteristic parameters corresponding to various types of cooling materials.

[0128] Example 2

[0129] A ventilation and cooling simulation test device for a deep mine, comprising a processor, a memory, and a communication bus;

[0130] The memory stores a computer-readable program executable by the processor;

[0131] The communication bus realizes the connection and communication between the processor and the memory;

[0132] When the processor executes the computer-readable program, it is implemented to implement a ventilation and cooling simulation test system for a deep mine as described in the present invention.

[0133] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0134] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0135] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A ventilation and cooling simulation test system for deep mines, characterized in that: include: The sensor network deployment module, which deploys multiple sensor nodes in the gold mine to monitor the environmental parameters of different tunnels in real time. The ventilation compliance judgment module determines the ventilation rate compliance coefficient of each tunnel in the gold mine; and performs detection and judgment. When it is detected that the ventilation rate compliance coefficient of a tunnel does not meet the standard, the cooling simulation test module is activated; The specific judgment process for determining the ventilation rate compliance coefficient of each tunnel in a gold mine is as follows: The environmental parameters of the gold mine corresponding to different tunneling tunnels include air temperature , relative humidity , underground heat and atmospheric pressure ; Calculate the air density of each tunnel in the gold mine , is the air constant, is the virtual temperature of the kth tunnel in the gold mine, and the calculation formula is: ; k is the number of each excavation tunnel; Obtain the total number of mechanical equipment in each tunnel of the gold mine and the equipment power of each mechanical equipment, thereby estimating the heat of the mechanical equipment in each tunnel of the gold mine, and summing it with the underground heat of each tunnel of the gold mine to obtain the heat load of each tunnel of the gold mine ; Estimate the expected ventilation volume required for each tunnel of the gold mine based on the heat load and air density of each tunnel of the gold mine , c is the specific heat capacity of air, It is the pre-set allowable temperature rise value; The path positions of the gold mine shaft corresponding to each tunneling tunnel are imported into the corresponding three-dimensional model diagram of the gold mine shaft to obtain the tunnel cross-sectional area of ​​each tunneling tunnel of the gold mine shaft. Based on the deployed sensor nodes, the average wind speed of each tunneling tunnel of the gold mine shaft is obtained, and the average wind speed is multiplied by the tunnel cross-sectional area of ​​each tunneling tunnel of the gold mine shaft to obtain the actual ventilation volume of each tunneling tunnel of the gold mine shaft. The product of the actual ventilation volume of each tunnel in the gold mine and the set path correction coefficient is used as the numerator of the fraction, and the expected required ventilation volume of each tunnel in the gold mine is used as the denominator of the fraction. The fraction is solved to obtain the ventilation rate compliance coefficient of each tunnel in the gold mine. Cooling material storage terminal, used to store material parameters corresponding to various types of cooling materials; The cooling simulation test module records each tunneling tunnel whose ventilation rate meets the standard coefficient as a simulated tunnel, and uses the simulation model to simulate different types of cooling materials, thereby obtaining a comprehensive score of the cooling performance of each type of cooling material in each simulated tunnel; The cooling material screening module determines the best cooling material type for each simulated lane based on the comprehensive cooling performance scores of each type of cooling material in each simulated lane.

2. A deep mine ventilation and cooling simulation test system according to claim 1, characterized in that: The simulation model is used to simulate different types of cooling materials. The specific simulation steps are as follows: Collecting geometric data and structural characteristics of each simulated roadway, wherein the geometric data includes length, width, and height, and the structural characteristics include shape and physical properties of the surrounding rock formations; Using virtual reality technology to build a three-dimensional gold mine model, and through multi-field coupling simulation technology, combining different physical fields, including temperature field, fluid field and structural field, to achieve a comprehensive simulation of the gold mine environment; The basic parameters of air flow in each simulated tunnel within the 3D gold mine model were set, including initial temperature, humidity, pressure, and air flow speed and direction. Computational fluid dynamics software was then used to perform a detailed simulation of the air flow in each simulated tunnel. Based on the material parameters corresponding to each type of cooling material stored in the cooling material storage terminal, the corresponding physical and chemical characteristic parameters of each type of cooling material are extracted. The thermal conductivity characteristics of each type of cooling material are introduced into the 3D gold mine model. In the simulation environment, specific thermal conductivity parameters are set for each type of cooling material. Then, the heat transfer process of each type of cooling material under different temperature conditions in each simulated tunnel is simulated using the heat conduction equation. At the same time, the simulation test adjusts the temperature and humidity parameters of each simulated tunnel in the simulation environment according to the climate data of the gold mine corresponding to different seasons, so as to simulate the performance of various types of cooling materials under extreme conditions; in addition, the changes in the total heat generated by the operation of equipment in each simulated tunnel are simultaneously taken into account in the simulation test.

3. A deep mine ventilation and cooling simulation test system according to claim 1, characterized in that: The comprehensive scores of the cooling performance of each type of cooling material in each simulated tunnel are obtained. The specific calculation formula is: Based on the simulation model, the cooling scores of various types of cooling materials in each simulated tunnel are obtained. , heat absorption efficiency score and environmental regulation scores ; c is the number of each type of cooling material, and j is the number of each simulated lane; The comprehensive scores of cooling performance of various types of cooling materials in each simulated tunnel are calculated based on this ,in are predefined weight compensation factors, and .

4. A deep mine ventilation and cooling simulation test system according to claim 3, characterized in that: Cooling scores of various types of cooling materials in each simulated tunnel The calculation logic is: According to the simulation model, the temperature reduction of each type of cooling material in each simulated tunnel is obtained , cooling rate and the time required to achieve the target temperature reduction ; The cooling scores of various types of cooling materials in each simulated tunnel are calculated accordingly. ,in Score the temperature reduction of the cth type cooling material in the jth simulation tunnel, , are the minimum and maximum temperature reductions of the cth type of cooling material in the simulated tunnel, They are the distribution weight factors corresponding to the temperature reduction amount, cooling rate, cooling time and degree adaptation; According to the calculation formula of the temperature reduction score of each type of cooling material in each simulated tunnel, the cooling rate score of each type of cooling material in each simulated tunnel is calculated in the same way. and temperature stability score ; The temperature adaptability score of the c-th type of cooling material in the j-th simulation tunnel is calculated as follows: In the simulation test, multiple initial temperature values ​​are set to measure the temperature drop of each type of cooling material in each simulated tunnel at each initial temperature. , v is the number corresponding to each initial temperature value; The temperature reduction of each type of cooling material in each simulation lane at each initial temperature is standardized according to the standardization formula to obtain the standardized temperature reduction of each type of cooling material in each simulation lane at each initial temperature. ; Calculate the adaptability coefficient of each type of cooling material in each simulated tunnel at each initial temperature , To set the initial temperature value of the vth; The adaptability coefficients of each type of cooling material in each simulated tunnel at each initial temperature are first summed and then averaged to obtain the overall adaptability of each type of cooling material in each simulated tunnel. Similarly, based on the calculation method of the calculation formula for the temperature reduction score of each type of cooling material in each simulated tunnel, the temperature adaptation score of each type of cooling material in each simulated tunnel is calculated.

5. A deep mine ventilation and cooling simulation test system according to claim 3, characterized in that: Heat absorption efficiency scores of various types of cooling materials in each simulated tunnel The calculation logic is: Calculate the heat absorption value of each type of cooling material in each simulated tunnel at each simulation time point , g is the number of each simulation time point, d is the integral symbol; is the surface area of ​​the cth type cooling material in contact with the jth simulation tunnel, is the thermal conductivity coefficient of the cth type cooling material, is the instantaneous temperature difference of the cth type cooling material in the jth simulation lane at the gth simulation time point; Then calculate the heat absorption efficiency of each type of cooling material in each simulation tunnel at each simulation time point , are the specific heat capacity and density of the cth type of cooling material, is the volume of the cth type of cooling material in the jth simulation lane; This constructs the scoring formula , and obtain the heat absorption efficiency scores of various types of cooling materials in each simulated tunnel , is the total simulation time, Indicates the impact factor of simulation time on efficiency.

6. A deep mine ventilation and cooling simulation test system according to claim 5, characterized in that: The calculation formula for the instantaneous temperature difference of each type of cooling material in each simulated tunnel at each simulation time point is: Obtain the material surface temperature of each type of cooling material in each simulation lane corresponding to the current simulation time point And the ambient temperature in each simulated lane corresponding to the current simulation time point ; The surface temperature of each type of cooling material in each simulation tunnel corresponding to the next simulation time point is thus predicted. , is the time step between the current simulation time point and the next simulation time point; According to the above calculation method, the material surface temperature of each type of cooling material at the next simulation time point corresponding to each simulation time point in each simulation lane is calculated. ; The material surface temperature of each type of cooling material in each simulation lane at the next simulation time point corresponding to each simulation time point is subtracted from the material surface temperature of each type of cooling material in each simulation lane at the current simulation time point, thereby obtaining the instantaneous temperature difference of each type of cooling material in each simulation lane at each simulation time point.

7. A deep mine ventilation and cooling simulation test system according to claim 3, characterized in that: Environmental regulation scores of various types of cooling materials in each simulated tunnel The calculation logic is: Get the temperature in each simulated tunnel at the initial simulation time point, i.e., g=0 , and the final temperature of each type of cooling material in each simulated tunnel at the end of the simulation , and calculate the temperature regulation score of each type of cooling material in each simulated tunnel , is the external ambient temperature of the cth type cooling material in the jth simulation lane corresponding to the gth simulation time point, G is the total number of simulation time points, is the reference score corresponding to the unit temperature value; Obtain the humidity in each simulation lane at the initial simulation time point, the final humidity of each type of cooling material in each simulation lane at the end of the simulation, and the external environment humidity of each type of cooling material in each simulation lane at each simulation time point. Similarly, calculate the humidity adjustment score of each type of cooling material in each simulation lane. ; The total heat generated by the operation of the equipment in each simulated lane is used as the denominator of the fraction, and the heat of the equipment absorbing each type of cooling material in each simulated lane is used as the numerator of the fraction. The fraction is solved and the result is used as the heat absorption score of each type of cooling material in each simulated lane. ; Finally, calculate the environmental adjustment scores of each type of cooling material in each simulated tunnel , are the weight ratio indexes set respectively, and .

8. A deep mine ventilation and cooling simulation test system according to claim 1, characterized in that: The specific logic for determining the best cooling material type for each simulated roadway is as follows: According to the comprehensive cooling performance scores of various types of cooling materials in each simulated tunnel, the cooling material type with the highest comprehensive cooling performance score in each simulated tunnel is selected as the optimal cooling material type for each simulated tunnel.

9. A ventilation and cooling simulation test device for deep mines, characterized by: It is implemented based on a deep mine ventilation and cooling simulation test system according to any one of claims 1 to 8, comprising a processor, a memory and a communication bus; The memory stores a computer-readable program executable by the processor; The communication bus realizes the connection and communication between the processor and the memory; When the processor executes the computer-readable program, it is implemented to implement a ventilation and cooling simulation test system for a deep mine as described in any one of claims 1-8.

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