Ventilation cooling simulation test system for deep mine

Abstract

The invention relates to the technical field of ventilation and cooling simulation testing, and particularly discloses a ventilation and cooling simulation testing system for a deep mine, which is used for monitoring environmental parameters of different tunneling roadways corresponding to a gold mine in real time through a plurality of sensor nodes deployed in the gold mine; further, the ventilation rate coincidence coefficient of each tunneling roadway corresponding to the gold mine is judged; detecting and judging the ventilation rate conformance coefficient, and when the ventilation rate conformance coefficient of a certain tunneling roadway is detected not to conform to the standard, simulating different types of cooling materials by using the simulation model so as to obtain a cooling performance comprehensive score of each type of cooling material in each simulated roadway; the optimal cooling material type suitable for each simulated roadway is determined according to the cooling performance comprehensive score of each type of cooling material in each simulated roadway, so that the use strategy of the material can be dynamically adjusted and optimized to adapt to the change of the mine environment, and the overall safety and the production efficiency of the mine are improved.

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] It is crucial to ventilate and cool the interior of a gold mine because of the extremely high temperatures deep inside the mine. If ventilation is not carried out in time, it will lead to a variety of serious problems. First, the high temperature environment will pose a serious threat to the health of miners, and may cause dangerous conditions such as heat stroke and dehydration. Secondly, high temperatures will increase the humidity in the mine, causing the air quality to deteriorate, affecting the miners' breathing, and even causing respiratory diseases. In addition, high temperatures will accelerate the aging of equipment, affecting the service life of mine equipment and increasing maintenance costs.

[0003] Existing material analysis techniques usually focus on a single performance indicator, such as thermal conductivity or hygroscopicity, when evaluating gold mine cooling materials. Although this method can provide specific data on a certain aspect of the material's performance, it ignores the comprehensive performance of the material in actual applications. The mine environment is complex and changeable, and the material not only needs to have good thermal conductivity to effectively dissipate heat, but also needs to maintain stable hygroscopicity under high humidity conditions. The single-indicator analysis method cannot fully reflect the performance of the material in long-term use, which may lead to 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 purpose and other purposes, the technical solution adopted by the present invention is as follows:

[0006] A first aspect of the present invention provides a ventilation and cooling simulation test system for a deep mine, 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, wherein the above modules are connected by wired and / or wireless connection to achieve data transmission between the modules;

[0007] The sensor network deployment module is used to monitor the environmental parameters of different tunnels in the gold mine in real time by deploying multiple sensor nodes in the gold mine.

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

[0009] A cooling material storage terminal is 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 compliance coefficient does not meet the standard 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 scores of the cooling performance of each type of cooling material in each simulated lane.

[0012] According to a preferred embodiment, the specific judgment process of judging 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 ; From this, 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 and the equipment power of each mechanical equipment in each tunnel of the gold mine, 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 ; Based on the heat load and air density of each tunnel in the gold mine, estimate the expected required ventilation volume of each tunnel in 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 excavation tunnel are imported into the corresponding three-dimensional model diagram of the gold mine shaft to obtain the tunnel cross-sectional area of ​​each excavation tunnel of the gold mine shaft; and based on the deployed sensor nodes, the average wind speed of each excavation tunnel of the gold mine shaft is obtained, and it is multiplied by the tunnel cross-sectional area of ​​each excavation tunnel of the gold mine shaft to obtain the actual ventilation volume of each excavation 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 estimated 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, and the specific simulation steps are:

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

[0019] A three-dimensional gold mine model is constructed using virtual reality technology, and different physical fields are combined together through multi-field coupling simulation technology, including temperature field, fluid field and structural field, thereby achieving a comprehensive simulation of the gold mine environment;

[0020] The basic parameters of air flow in each simulated tunnel in the three-dimensional gold mine model were set, including initial temperature, humidity, pressure, speed and direction of air flow. Subsequently, computational fluid dynamics software was used to simulate the air flow in each simulated tunnel in detail.

[0021] According to the material parameters corresponding to each type of cooling material stored in the cooling material storage terminal, the physical and chemical characteristic parameters corresponding to each type of cooling material are extracted; the thermal conductivity characteristics of each type of cooling material are introduced into the three-dimensional gold mine model, and 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 through 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, the 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 score ;

[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. ,in are predefined weight compensation factors, and .

[0027] According to a preferred embodiment, the temperature reduction 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 of cooling material in the jth simulated tunnel, , are the minimum and maximum temperature reduction of the cth type of cooling material in the simulated tunnel, They are the temperature reduction amount, cooling rate, cooling time and the corresponding allocation weight factors of 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] It is the temperature adaptability score of the c-th type cooling material in the j-th simulated tunnel. The specific calculation process is 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] According to the standardized processing formula, the temperature reduction of each type of cooling material in each simulated tunnel at each initial temperature is standardized to obtain the standardized temperature reduction of each type of cooling material in each simulated tunnel 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, according to 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 of each type of cooling material in each simulated tunnel is scored The calculation logic is:

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

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

[0039] The scoring formula is constructed from this , and obtain the heat absorption efficiency scores of various types of cooling materials in each simulated tunnel , is the total simulation time, Represents 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 tunnel corresponding to each simulated time point is:

[0041] Obtain the material surface temperature of each type of cooling material in each simulated 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 simulated tunnel corresponding to the next simulation time point is 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 tunnel is calculated. ;

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

[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 the temperature regulation scores of each type of cooling material in each simulated lane are calculated , is the external ambient temperature of the cth type cooling material in the jth simulation lane at 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 simulated lane at the initial simulation time point, the final humidity in each simulated lane corresponding to each type of cooling material at the end of the simulation, and the external environment humidity of each type of cooling material in each simulated lane corresponding to each simulation time point. Similarly, calculate the humidity adjustment score of each type of cooling material in each simulated 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 corresponding to 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, the environmental regulation scores of various types of cooling materials in each simulated tunnel are calculated. , are the weight ratio indexes set respectively, and .

[0050] According to a preferred embodiment, the specific determination logic for determining the best cooling material type suitable for each simulated lane 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 the 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 discover 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, the 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 best cooling material type that is most suitable 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 use 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 use efficiency 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 accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0060] Figure 1 It is a schematic diagram of the connection of various modules of the system of the present invention. DETAILED DESCRIPTION

[0061] The above contents in combination with the implementation of the present invention are merely examples and explanations of the concept of the present invention. The technical personnel in the relevant technical field may make various modifications or supplements to the specific embodiments described 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 all fall within the protection scope of the present invention.

[0062] Example 1

[0063] See also Figure 1 As shown, a ventilation and cooling simulation test system for a deep mine, the system 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, and the above modules are connected by wired and / or wireless connection to realize 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 nodes of the sensor network deployment module include wind speed sensors, temperature sensors, humidity sensors and gas composition sensors. Multiple sensor nodes are arranged in the main ventilation tunnels, working faces and excavation faces of the gold mine to form a dense sensor network to ensure the comprehensiveness and accuracy of data collection. The sensor nodes are seamlessly connected through self-organizing network technology to ensure the stability and real-time performance of data transmission.

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

[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 ; From this, 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 and the equipment power of each mechanical equipment in each tunnel of the gold mine, 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 ; Based on the heat load and air density of each tunnel in the gold mine, estimate the expected required ventilation volume of each tunnel in 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 excavation tunnel are imported into the corresponding three-dimensional model diagram of the gold mine shaft to obtain the tunnel cross-sectional area of ​​each excavation tunnel of the gold mine shaft; and based on the deployed sensor nodes, the average wind speed of each excavation tunnel of the gold mine shaft is obtained, and it is multiplied by the tunnel cross-sectional area of ​​each excavation tunnel of the gold mine shaft to obtain the actual ventilation volume of each excavation 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 estimated 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 tortuosity of each bend 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 in 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 excavation tunnel in the gold mine;

[0077] The path correction coefficients of the gold mine corresponding to each tunneling tunnel are 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 of the gold mine is greater than or equal to 1, the ventilation rate compliance coefficient of the heading tunnel is judged to meet the standard; otherwise, the ventilation rate compliance coefficient of the heading tunnel is judged to not meet the standard.

[0080] Cooling materials usually have good thermal conductivity and heat absorption, and can absorb and dissipate heat in high-temperature environments, thereby reducing the overall temperature in the tunnel. This temperature regulation effect can reduce the burden on the ventilation system, allowing it to focus more on airflow management and the emission of harmful gases. Especially in deep mines, due to the heat generated by geothermal heat and mechanical equipment operation, it is often difficult to achieve the ideal temperature control effect by the ventilation system alone. The application of cooling materials provides strong support for the ventilation system, making the temperature control of the entire environment more efficient. Therefore, laying cooling materials is not only to improve the temperature environment of the mine, but also to improve the overall efficiency of the ventilation system. This method uses a two-pronged strategy to solve the problem of excessive temperature and enhance the ventilation effect, providing a solid guarantee for the safe production of mines and the health of workers.

[0081] A cooling simulation test module, which is connected to the ventilation compliance judgment module and the cooling material storage terminal respectively, records each excavation tunnel whose ventilation rate compliance coefficient does not meet the standard as each 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;

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

[0083] Phase change materials (PCM): use 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 features of each simulated tunnel, wherein the geometric data includes length, width, and height, and the structural features include shape and physical properties of surrounding rock formations;

[0089] A three-dimensional gold mine model is constructed using virtual reality technology, and different physical fields are combined together through multi-field coupling simulation technology, including temperature field, fluid field and structural field, thereby achieving a comprehensive simulation of the gold mine environment;

[0090] The basic parameters of air flow in each simulated tunnel in the three-dimensional gold mine model were set, including initial temperature, humidity, pressure, speed and direction of air flow. Subsequently, computational fluid dynamics software was used to simulate the air flow in each simulated tunnel in detail.

[0091] According to the material parameters corresponding to each type of cooling material stored in the cooling material storage terminal, the physical and chemical characteristic parameters corresponding to each type of cooling material are extracted; the thermal conductivity characteristics of each type of cooling material are introduced into the three-dimensional gold mine model, and 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 through 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 various types of cooling materials 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 score ;

[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. ,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 of cooling material in the jth simulated tunnel, , are the minimum and maximum temperature reduction of the cth type of cooling material in the simulated tunnel, They are the temperature reduction amount, cooling rate, cooling time and the corresponding allocation weight factors of 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] It is the temperature adaptability score of the c-th type cooling material in the j-th simulated tunnel. The specific calculation process is 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] According to the standardized processing formula, the temperature reduction of each type of cooling material in each simulated tunnel at each initial temperature is standardized to obtain the standardized temperature reduction of each type of cooling material in each simulated tunnel 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, according to 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 absorbed heat value of each type of cooling material in each simulated tunnel at each simulated time point , g is the number of each simulation time point, d is the integral sign; is the surface area of ​​the cth type cooling material in contact with the jth simulated tunnel, is the thermal conductivity of the cth type of cooling material, is the instantaneous temperature difference of the cth type of cooling material in the jth simulation lane corresponding to the gth simulation time point;

[0108] In the formula, dg′ represents a very small time interval used to integrate and calculate the cumulative change in heat over time. This is a concept in calculus used to describe a process that changes 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 simulated tunnel at each simulated time point , are the specific heat capacity and density of the cth type of cooling material, is the volume of the c-th type of cooling material in the j-th simulation tunnel;

[0110] The scoring formula is constructed from this , and obtain the heat absorption efficiency scores of various types of cooling materials in each simulated tunnel , is the total simulation time, Represents 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 simulated time point is:

[0112] Obtain the material surface temperature of each type of cooling material in each simulated 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 simulated tunnel corresponding to the next simulation time point is 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 the 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 tunnel is calculated. ;

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

[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 the temperature regulation scores of each type of cooling material in each simulated lane are calculated , is the external ambient temperature of the cth type cooling material in the jth simulation lane at 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 , the final humidity of each type of cooling material in 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 simulated 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 corresponding to 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] Place the material sample in the experimental environment and start the heat source equipment to simulate the heat generated by the equipment in the mine. Use a heat flow meter to measure the heat flux density on the surface of the material, and use a temperature sensor to record the temperature changes on the surface and inside of each type of cooling material in each simulated tunnel. Continue to monitor and record data until the temperature change of the material tends to stabilize. Finally, by analyzing the heat flux density and temperature change data, calculate the total heat absorbed by each type of cooling material in each simulated tunnel during the entire process;

[0123] Finally, the environmental regulation scores of various types of cooling materials in each simulated tunnel are calculated. , 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 scores of the cooling performance of each type of cooling material in each simulated lane.

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

[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 each type of cooling material, wherein the material parameters corresponding to each type of cooling material include physical and chemical characteristic parameters corresponding to each type of cooling material.

[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 is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope 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 protection scope 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 is used to monitor the environmental parameters of different tunnels in the gold mine in real time by deploying multiple sensor nodes in the gold mine. The ventilation compliance judgment module determines the ventilation rate compliance coefficient of each tunneling tunnel in the gold mine, and performs detection and judgment. When it is detected that the ventilation rate compliance coefficient of a tunneling tunnel does not meet the standard, the cooling simulation test module is started; A cooling material storage terminal is used to store material parameters corresponding to various types of cooling materials; The cooling simulation test module records each tunneling tunnel whose ventilation rate compliance coefficient does not meet the standard 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 scores of the cooling performance 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 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 ; From this, 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 and the equipment power of each mechanical equipment in each tunnel of the gold mine, 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 ; Based on the heat load and air density of each tunnel in the gold mine, estimate the expected required ventilation volume of each tunnel in 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 excavation tunnel are imported into the corresponding three-dimensional model diagram of the gold mine shaft to obtain the tunnel cross-sectional area of ​​each excavation tunnel of the gold mine shaft; and based on the deployed sensor nodes, the average wind speed of each excavation tunnel of the gold mine shaft is obtained, and it is multiplied by the tunnel cross-sectional area of ​​each excavation tunnel of the gold mine shaft to obtain the actual ventilation volume of each excavation tunnel of the gold mine shaft; 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 estimated 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.

3. 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 features of each simulated tunnel, wherein the geometric data includes length, width, and height, and the structural features include shape and physical properties of surrounding rock formations; A three-dimensional gold mine model is constructed using virtual reality technology, and different physical fields are combined together through multi-field coupling simulation technology, including temperature field, fluid field and structural field, thereby achieving a comprehensive simulation of the gold mine environment; The basic parameters of air flow in each simulated tunnel in the three-dimensional gold mine model were set, including initial temperature, humidity, pressure, speed and direction of air flow. Subsequently, computational fluid dynamics software was used to simulate the air flow in each simulated tunnel in detail. According to the material parameters corresponding to each type of cooling material stored in the cooling material storage terminal, the physical and chemical characteristic parameters corresponding to each type of cooling material are extracted; the thermal conductivity characteristics of each type of cooling material are introduced into the three-dimensional gold mine model, and 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 through 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.

4. A deep mine ventilation and cooling simulation test system according to claim 1, characterized in that: The comprehensive scores of the cooling performance of various types of cooling materials 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 score ; 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. ,in are predefined weight compensation factors, and .

5. A deep mine ventilation and cooling simulation test system according to claim 4, 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 of cooling material in the jth simulated tunnel, , are the minimum and maximum temperature reduction of the cth type of cooling material in the simulated tunnel, They are the temperature reduction amount, cooling rate, cooling time and the corresponding allocation weight factors of 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 ; It is the temperature adaptability score of the c-th type cooling material in the j-th simulated tunnel. The specific calculation process is 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; According to the standardized processing formula, the temperature reduction of each type of cooling material in each simulated tunnel at each initial temperature is standardized to obtain the standardized temperature reduction of each type of cooling material in each simulated tunnel 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, according to 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.

6. A deep mine ventilation and cooling simulation test system according to claim 4, characterized in that: Heat absorption efficiency scores of various types of cooling materials in each simulated tunnel The calculation logic is: Calculate the absorbed heat value of each type of cooling material in each simulated tunnel at each simulated time point , g is the number of each simulation time point, d is the integral sign; is the surface area of ​​the cth type cooling material in contact with the jth simulated tunnel, is the thermal conductivity of the cth type of cooling material, is the instantaneous temperature difference of the cth type of cooling material in the jth simulation lane corresponding to the gth simulation time point; Then calculate the heat absorption efficiency of each type of cooling material in each simulated tunnel at each simulated time point , are the specific heat capacity and density of the cth type of cooling material, is the volume of the c-th type of cooling material in the j-th simulation tunnel; The scoring formula is constructed from this , and obtain the heat absorption efficiency scores of various types of cooling materials in each simulated tunnel , is the total simulation time, Represents the impact factor of simulation time on efficiency.

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

8. A deep mine ventilation and cooling simulation test system according to claim 4, 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 the temperature regulation scores of each type of cooling material in each simulated lane are calculated , is the external ambient temperature of the cth type cooling material in the jth simulation lane at 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 simulated lane at the initial simulation time point, the final humidity in each simulated lane corresponding to each type of cooling material at the end of the simulation, and the external environment humidity of each type of cooling material in each simulated lane corresponding to each simulation time point. Similarly, calculate the humidity adjustment score of each type of cooling material in each simulated 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 corresponding to 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, the environmental regulation scores of various types of cooling materials in each simulated tunnel are calculated. , are the weight ratio indexes set respectively, and .

9. 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 tunnel is: 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.

10. A ventilation and cooling simulation test device for deep mines, characterized in that: It is implemented based on a deep mine ventilation and cooling simulation test system according to any one of claims 1 to 9, 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 1-9.

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