Deep mine air flow temperature prediction and heat disaster early warning method

Abstract

The application provides a deep mine air flow temperature prediction and heat damage early warning method, the deep mine type is divided into a shaft, an underground horizontal (or near horizontal) roadway and an underground tunneling working face, heat dissipation amount calculation is carried out for the three different deep mine types; the point air flow temperature is predicted according to the heat dissipation amount calculation corresponding to the deep mine type, and the heat damage degree of the prediction point is evaluated to obtain an evaluation value, whether the point evaluation value is greater than a preset threshold value is judged, if yes, an alarm warning is sent. The application solves the problem of low precision in the existing air temperature prediction technology.

Description

Technical Field

[0001] This invention relates to the field of deep mine temperature prediction technology, and in particular to a method for predicting the temperature of airflow in deep mines and for early warning of heat hazards. Background Technology

[0002] With the continuous development of mineral resources, mining depths are correspondingly increasing. Deep mining brings numerous safety and production problems. For example, the original temperature of underground rock strata increases with depth, leading to elevated temperatures in the mining area and severely deteriorating working conditions. Statistics show that rock strata temperatures below the normal temperature zone increase at a gradient of 3℃ / 100m, and in wells over 1000 meters deep, the original rock temperature generally exceeds human body surface temperature. Furthermore, the increasing mechanization of mines and the more concentrated production processes, along with the heat generated by a large amount of machinery, further worsen underground working conditions. The high-temperature environment in mines seriously affects the health and productivity of underground workers and has become one of the six major hazards in coal mines. However, current wind and temperature prediction technologies suffer from low accuracy and complex calculations. Summary of the Invention

[0003] In order to overcome the shortcomings of the existing technology, the purpose of this invention is to provide a method for predicting the airflow temperature and providing early warning of heat hazards in deep mines.

[0004] To achieve the above objectives, the present invention provides the following solution: A method for predicting ventilation temperature and providing early warning of heat hazards in deep mines includes: The type of deep mine to be measured is determined, including: vertical shaft, underground horizontal roadway, and underground tunneling face; Calculate the heat dissipation corresponding to the type of deep mine to be tested, including: heat dissipation of vertical shafts, heat dissipation of underground horizontal roadways and heat dissipation of underground tunneling faces; The predicted point airflow temperature is calculated based on the heat dissipation corresponding to the deep mine type. The predicted airflow temperature is evaluated to obtain an evaluation value; Determine whether the evaluated value is greater than a preset threshold; if so, issue an alarm warning.

[0005] Preferably, the calculation steps for the predicted airflow temperature of the vertical shaft include: Calculate the heat dissipation of the shaft based on the initial temperature of the shaft and the distance between the initial point and the predicted point. Calculate the airflow air quality and initial point air enthalpy value based on the vertical shaft air parameter indicators; The air enthalpy value at the prediction point is calculated based on the heat dissipation of the vertical shaft. The predicted air humidity and predicted air temperature of the shaft are calculated based on the air mass of the airflow, the air enthalpy at the initial point, and the predicted point.

[0006] Preferably, the calculation steps for the predicted point airflow temperature in the underground horizontal roadway include: The total heat dissipation of the horizontal roadway is calculated based on the heat dissipation index of the surrounding rock, the heat dissipation of transported ore, the heat dissipation of wall oxidation, the heat dissipation of mechanical and electrical equipment, the heat dissipation of sudden water inrush, and the heat dissipation of personnel. Calculate the airflow air quality and initial point air enthalpy value based on the air parameter indicators of the horizontal tunnel; The air enthalpy value at the prediction point is calculated based on the total heat dissipation of the horizontal tunnels. The air humidity and air temperature at the prediction point are calculated based on the air mass of the airflow, the air enthalpy at the initial point, and the air enthalpy at the prediction point.

[0007] Preferably, the calculation steps for the predicted point airflow temperature at the underground tunneling face include: Based on the heat dissipation index of the underground tunneling face, calculate the heat dissipation of the surrounding rock, the heat dissipation of transporting ore, the heat dissipation of wall oxidation, the heat dissipation of electromechanical equipment, the heat dissipation of local ventilation fans, the heat dissipation of sudden water inrush, and the heat dissipation of personnel to obtain the total heat dissipation of the underground tunneling face; Calculate the air mass and initial air enthalpy value based on the air parameters of the underground tunneling face; The air enthalpy value at the prediction point is calculated based on the total heat dissipation of the underground tunneling face; The air humidity and airflow temperature at the prediction point are calculated based on the air mass of the airflow, the air enthalpy at the initial point, and the air enthalpy at the prediction point.

[0008] Preferably, the predicted point airflow temperature is evaluated to obtain an evaluation value, including: The predicted point data is obtained as the dataset to be evaluated; Based on the characteristics of the dataset to be evaluated, data rules with multi-dimensional parameters are preset, and a score range is preset for each dimension parameter of each data rule; Using the preset dimensional parameter scores and importance weights of the data rules, a weight matrix of the rules for the dataset to be evaluated is constructed. The evaluation value is obtained by calculating the evaluation scores of the dataset to be tested separately and then summing the scores of all the data in the dataset in a weighted manner, based on the weight matrix of the rules of the dataset to be tested.

[0009] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects: This invention provides a method for predicting airflow temperature and providing early warning of heat hazards in deep mines. The invention calculates the heat dissipation of deep mines to obtain prediction point data, accurately evaluates the prediction point data, determines whether the evaluation value exceeds a threshold, and issues an early warning. Through continuous iterative correction of the calculation program, the accuracy of temperature prediction data in deep mines is improved, ensuring the safety of underground mining operations. Attached Figure Description

[0010] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 A flowchart illustrating the steps of a method for predicting airflow temperature and providing early warning of heat hazards in deep mines, as provided in an embodiment of the present invention. Figure 2 A conceptual diagram for deep mine airflow temperature prediction calculation provided in an embodiment of the present invention; Figure 3 The main interface diagram of the software system for predicting airflow temperature in deep mines provided in this embodiment of the invention; Figure 4 A diagram of the vertical shaft airflow temperature prediction calculation interface provided in an embodiment of the present invention; Figure 5 A diagram showing the interface for predicting and calculating airflow and temperature in horizontal (or near-horizontal) roadways, provided in an embodiment of the present invention. Figure 6 This is the interface for predicting and calculating airflow temperature at the tunneling face provided in this embodiment of the invention; Figure 7 The layout diagram of the mining area -930m segmented monitoring network provided in the embodiments of the present invention. Detailed Implementation

[0012] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0013] The purpose of this invention is to provide a method for predicting airflow temperature and providing early warning of heat hazards in deep mines. This invention improves the accuracy of early warning for deep mines by classifying and analyzing various types of deep mines and evaluating and issuing early warnings based on the prediction point data of deep mines.

[0014] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0015] like Figure 1 As shown, this invention provides a method for predicting airflow temperature and providing early warning of heat hazards in deep mines, including: Step 100: Determine the type of deep mine to be tested, including: vertical shaft, underground horizontal roadway and underground tunneling face; Step 200: Calculate the heat dissipation corresponding to the type of deep mine to be tested, including: heat dissipation of vertical shafts, heat dissipation of underground horizontal roadways and heat dissipation of underground tunneling faces; Step 300: Calculate the predicted point airflow temperature based on the heat dissipation corresponding to the deep mine type; Step 400: Evaluate the predicted airflow temperature to obtain an evaluation value; Step 500: Determine whether the evaluation value is greater than a preset threshold. If so, issue an alarm warning.

[0016] This implementation is carried out under the following assumptions: (1) The tunnel is a horizontal tunnel with an approximately circular cross-section; (2) The surrounding rock is an isotropic homogeneous medium; (3) The wind temperature and air volume at the calculation base point are kept constant; (4) Consider the radial temperature gradient of the surrounding rock and ignore the axial temperature gradient of the surrounding rock; (5) The problem of latent heat loss caused by the evaporation of water on the wall surface is not considered; (6) The airflow temperature is evenly distributed on the same roadway cross section, and the original rock temperature is consistent at the same elevation.

[0017] Specifically, this embodiment discloses the existence of multiple heat sources in the roadway: assuming 1 kg of airflow flows in from the cross-section at elevation z1, the total heating of the airflow by the environment is G, the airflow does no work on the outside environment, and flows out from the cross-section at elevation z2. According to relevant definitions in thermodynamics, the thermodynamic system for calculating the airflow temperature in a high-temperature mine in deep strata is an open system. The total energy of the airflow flowing into the roadway is equal to the total energy flowing out of the roadway (ignoring the work consumed by the friction between the airflow and the roadway wall). Therefore, energy exchange in a high-temperature mine follows the law of conservation of energy. For a general case, considering an airflow of G with a ventilation mass, and multiple heat sources in the roadway, the heat balance equation can be uniformly written as: In the formula, It is the sum of the heat dissipation from various heat sources per unit distance. For ventilation volume, i 1 represents the enthalpy of the airflow at the initial point of the shaft.i 2 represents the enthalpy value of the airflow at the predicted point in the shaft.

[0018] The enthalpy of moist air is the sum of the enthalpies of dry air and water vapor, therefore: Table 1. Factors affecting the enthalpy of air in deep shaft tunnels, calculation formulas, and parameter indicators.

[0019] Table 2. Types of Deep Well Heat Sources, Calculation Formulas, and Parameter Indicators

[0020] Furthermore, the calculation steps for the predicted airflow temperature at the vertical shaft include: Calculate the heat dissipation of the shaft based on the initial temperature of the shaft and the distance between the initial point and the predicted point. Calculate the airflow air quality and initial point air enthalpy value based on the vertical shaft air parameter indicators; The air enthalpy value at the prediction point is calculated based on the heat dissipation of the vertical shaft. The predicted air humidity and predicted air temperature of the shaft are calculated based on the air mass of the airflow, the air enthalpy at the initial point, and the predicted point.

[0021] Specifically, based on the temperature threshold of the shaft, the initial point temperature, the initial point relative humidity, and the initial point elevation, the initial point saturated vapor pressure, initial point air pressure, initial point air humidity, and initial point air enthalpy are calculated; based on the initial point temperature of the shaft and the distance between the initial point and the prediction point, the heat dissipation of the shaft is calculated, and the air enthalpy at the prediction point is calculated; based on the relative humidity gradient of the shaft and the elevation of the prediction point, the relative humidity and air pressure at the prediction point are calculated, and finally, the air humidity and airflow temperature at the prediction point are calculated.

[0022] Furthermore, the calculation steps for the predicted point airflow temperature of the horizontal (or near-horizontal) roadway include: The total heat dissipation of the horizontal roadway is calculated based on the heat dissipation index of the surrounding rock, the heat dissipation of transported ore, the heat dissipation of wall oxidation, the heat dissipation of mechanical and electrical equipment, the heat dissipation of sudden water inrush, and the heat dissipation of personnel. Calculate the airflow air quality and initial point air enthalpy value based on the air parameter indicators of the horizontal tunnel; The air enthalpy value at the prediction point is calculated based on the total heat dissipation of the horizontal tunnels. The air humidity and air temperature at the prediction point are calculated based on the air mass of the airflow, the air enthalpy at the initial point, and the air enthalpy at the prediction point.

[0023] Specifically, based on the temperature threshold, initial point temperature, initial point relative humidity, initial point elevation, air density, and airflow rate of the horizontal (or near-horizontal) roadway, the initial point saturated vapor pressure, initial point air pressure, initial point air humidity, initial point air enthalpy, and initial point air mass are calculated. Based on the roadway environmental parameters, the heat dissipation of the surrounding rock, the heat dissipation of transported ore, the heat dissipation of wall oxidation, the heat dissipation of electromechanical equipment, the heat dissipation of sudden water inrush, and the heat dissipation of personnel are calculated, and the air enthalpy at the prediction point is calculated. Based on the relative humidity gradient of the horizontal (or near-horizontal) roadway, the prediction point elevation, and the predicted temperature estimate, the relative humidity, prediction point air pressure, prediction point saturated vapor pressure, prediction point air density, and prediction point air mass at the prediction point are calculated, and finally, the air humidity and airflow temperature at the prediction point are calculated.

[0024] Furthermore, the calculation steps for the predicted point airflow temperature at the underground tunneling face include: Based on the heat dissipation index of the underground tunneling face, calculate the heat dissipation of the surrounding rock, the heat dissipation of transporting ore, the heat dissipation of wall oxidation, the heat dissipation of electromechanical equipment, the heat dissipation of local ventilation fans, the heat dissipation of sudden water inrush, and the heat dissipation of personnel to obtain the total heat dissipation of the underground tunneling face; Calculate the air mass and initial air enthalpy value based on the air parameters of the underground tunneling face; The air enthalpy value at the prediction point is calculated based on the total heat dissipation of the underground tunneling face; The air humidity and airflow temperature at the prediction point are calculated based on the air mass of the airflow, the air enthalpy at the initial point, and the air enthalpy at the prediction point.

[0025] Specifically, based on the temperature threshold, initial point temperature, initial point relative humidity, initial point elevation, air density, and airflow rate of the underground tunneling face, the initial point saturated vapor pressure, initial point air pressure, initial point air humidity, initial point air enthalpy, and initial point air mass are calculated. Based on the environmental parameters of the underground tunneling face, the heat dissipation from the surrounding rock, ore transportation, wall oxidation, electromechanical equipment, local ventilation fans, sudden water inrush, and personnel is calculated, and the air enthalpy at the prediction point is calculated. Based on the relative humidity gradient of the underground tunneling face, the prediction point elevation, and the predicted temperature estimate, the relative humidity, prediction point air pressure, prediction point saturated vapor pressure, prediction point air density, and prediction point air mass are calculated, and finally, the air humidity and airflow temperature at the prediction point are calculated.

[0026] Specifically, the predicted point data calculated based on the heat dissipation corresponding to the deep mine type includes: predicted point data for vertical shafts, predicted point data for horizontal (or near-horizontal) roadways, and predicted point data for underground tunneling faces.

[0027] The predicted point data for the vertical shaft includes: predicted point air enthalpy, predicted point relative humidity, predicted point air pressure, predicted point air humidity, and predicted point airflow temperature; the predicted point data for the horizontal (or near-horizontal) roadway includes: predicted point air density, predicted point average airflow mass, predicted point saturated vapor pressure, predicted point relative humidity, predicted point air pressure, predicted point air enthalpy, predicted point air humidity, and predicted point airflow temperature (calculated values); the predicted point data for the underground tunneling face includes: predicted point air density, predicted point average airflow mass, predicted point saturated vapor pressure, predicted point relative humidity, predicted point air pressure, predicted point air enthalpy, predicted point air humidity, and predicted point airflow temperature (calculated values).

[0028] Specifically, the evaluation of the endpoint data to obtain an evaluation value includes: The predicted point data is obtained as the dataset to be evaluated; Based on the characteristics of the dataset to be evaluated, data rules with multi-dimensional parameters are preset, and a score range is preset for each dimension parameter of each data rule; Using the preset dimensional parameter scores and importance weights of the data rules, a weight matrix of the rules for the dataset to be evaluated is constructed. The evaluation value is obtained by calculating the evaluation scores of the dataset to be tested separately and then summing the scores of all the data in the dataset in a weighted manner, based on the weight matrix of the rules of the dataset to be tested.

[0029] This embodiment also discloses a method and calculation process for predicting airflow in deep mines.

[0030] Coal mine tunnels are interconnected, forming a network structure. Different tunnels play different roles in the coal mining process. Considering the distribution of underground heat sources and the characteristics of different tunnels, these tunnels can be categorized as follows: (1) Vertical shaft: The shaft has vertical variation characteristics and its horizontal extension is not significant. The largest heat sources are the heat radiated from the shaft wall by the rock and the heat generated by the self-compression of the air. Due to the water spraying effect of the shaft, the heat conducted from the shaft wall is basically absorbed by the evaporation of water. Therefore, the heat generated by the self-compression of the air is the main factor for the increase in air temperature in the shaft.

[0031] (2) Horizontal (or near-horizontal) roadways: The rise in air temperature is affected by various underground heat sources. These heat sources mainly include: heat from inside the rock, underground hot water, oxidation heat release, mechanical device heat release, and air self-compression heat. In most cases, heat from inside the rock and oxidation heat release are the main heat sources, and these two types of heat sources are the focus of the model.

[0032] (3) Underground tunneling face: The tunnel of the underground tunneling face has the characteristic of being a single-ended tunnel, and artificial ventilation is required to dilute harmful gases. The heat dissipation of ventilation equipment is the main heat source of the tunnel.

[0033] Although each type of tunnel has different characteristics, a unified computational approach can be used to solve the model. The program calculates concepts such as... Figure 2 As shown.

[0034] Corresponding to the above methods, this embodiment also provides a real-time temperature and humidity prediction and high-temperature early warning system for deep mine tunnels and mining faces. Taking the Sanshandao demonstration project as an example, it realizes real-time temperature and humidity prediction and high-temperature early warning functions for tunneling and mining faces in deep mining based on airflow and temperature monitoring. Its main functions, in addition to basic data input and prediction calculations, also include data saving and export. For ease of use and operation, Matlab software and its database technology are used to implement the functions of the mine airflow and temperature prediction software system. After starting the software system, the main interface is as follows: Figure 3 As shown, Figure 4 The interface displays the prediction and calculation of airflow temperature and humidity in vertical shafts, as well as the early warning of heat hazards. Users input relevant parameters such as the early warning threshold, initial shaft opening temperature, initial relative humidity at the shaft opening, and relative humidity gradient in the shaft, based on actual field measurements. Clicking the "Calculate" button displays the calculation results and the degree of heat hazard in the text boxes on the right side of the interface, including the heat dissipation from the shaft wall, the moisture content at the end of the shaft, and the airflow temperature at the end of the shaft. Clicking the "Clear Data" button clears all data in the text boxes, allowing for re-entry to perform airflow temperature prediction calculations for other mine shafts. Clicking the "Return to Main Interface" button returns the user to the system's main interface. Figure 5 and Figure 6 These are the interfaces for predicting and calculating airflow and temperature in horizontal (or near-horizontal) roadways and the tunneling face, respectively. The operation methods are the same as... Figure 4 The interface is the same.

[0035] The above system can be applied to engineering projects, taking the Sanshandao Gold Mine as an example: This mine is located in a warm temperate monsoon climate zone with four distinct seasons. Spring and winter are dry, while summer and autumn are rainy. According to statistics from the Laizhou Meteorological Bureau over the years, the average annual temperature is 12.5℃, the extreme minimum temperature is -18.0℃, and the extreme maximum temperature is 38.9℃. Geological data obtained through mining and drilling over the years indicate that the surrounding rock temperature at this mine is 35.6℃, with a temperature gradient of 2.65℃ / 100m. Currently, the air temperature at the working face of the production mine (during summer) exceeds 30℃. This high-temperature and high-humidity environment not only seriously harms human health but also constantly threatens the normal operation of production.

[0036] like Figure 7As shown, seven monitoring points (1#, 2#, 3#, 4#, 5#, 6#, and 7#) were selected in segments 930 and 945 for borehole temperature measurement. One hole was drilled at each measuring point along the bottom, shoulder, and top of the roadway (i.e., three holes at each point). The holes were 16m deep and 40-60mm in diameter. Temperature sensors (arranged at 2m intervals, with eight sensors per hole) were connected in parallel, tied to a steel bar, and inserted into the borehole, keeping them as close to the rock wall as possible, with one end inserted deep into the surrounding rock to monitor the original temperature field. Figure 7 The No. 1 and No. 5 measuring points are located near the cable well, at a certain distance from the mining area, and are areas less affected by mining activities. Figure 7 Monitoring points 2#, 3#, and 4# are located in the middle of the exploration vein in the mining area, which is a relatively large area affected by mining disturbances. Figure 7 The measuring points #7 and #8 were selected near the mining area, which is a region that is greatly disturbed by mining.

[0037] Table 3 shows the calculated parameters for the observation point at the -930m section of the Sanshandao Gold Mine, and Table 4 compares the predicted and measured temperature results at the observation point. The predicted results agree well with the calculated results based on the measured data. The error in the main roadway is less than 0.5℃, and the maximum error at the tunneling face is 0.78℃. Analysis reveals that the main reasons for the errors are: 1) Some parameters were selected based on empirical values, without obtaining actual field measurement data; 2) The quality of the ventilation airflow was subject to certain errors due to limitations in the field testing methods and the accuracy of the instruments used; 3) Changes in calculated parameters such as wall roughness and cross-sectional perimeter caused by excavation at the tunneling face led to larger errors in the calculated results. Analysis shows that the difference between the calculated and measured values ​​for the main roadway is small, and the overall temperature field at the tunneling face exceeds the temperature warning threshold. The 0.78℃ temperature error still ensures that the system's temperature warning is within the accurate range, indicating that the airflow temperature prediction mathematical model established in this paper has good accuracy and reliability.

[0038] Table 3 Calculation parameters for observation points at the -930m section of the Sanshandao Gold Mine

[0039] Table 4 Comparison of predicted and measured temperature results at observation points

[0040] The beneficial effects of this invention are as follows: (1) This paper systematically analyzes the various heat sources in the mine, summarizes the heat release law and specific heat release calculation model of each type of heat source, simplifies the unsteady heat conduction and convection heat release process of the surrounding rock of the deep roadway into a simple heat exchange model, proposes corresponding calculation formulas for each model, and gives the range of values ​​for the selection of correlation coefficients.

[0041] (2) Based on the discussion and analysis of the above factors, this paper classifies mine roadways into three categories: vertical shafts, horizontal (or near-horizontal) roadways, and tunneling faces. Thermal influence factors were analyzed according to their respective conditions. Then, using the basic theories and methods of heat transfer, a complete mathematical model for predicting and calculating the airflow temperature in mine roadways and for high-temperature early warning was established.

[0042] (3) This paper developed and compiled a special calculation program and applied it in the Sanshandao Gold Mine. By comparing the measured data of typical roadways in the mine with the model prediction results, it was shown that the mine's airflow temperature prediction model has good accuracy and reliability, providing a scientific basis for the mine to select a correct and reasonable heat hazard control method.

[0043] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0044] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for predicting airflow temperature and providing early warning of heat hazards in deep mines, characterized in that, include: The type of deep mine to be measured is determined, including: vertical shaft, underground horizontal roadway, and underground tunneling face; Calculate the heat dissipation corresponding to the type of deep mine to be tested, including: heat dissipation of vertical shafts, heat dissipation of underground horizontal roadways and heat dissipation of underground tunneling faces; The predicted point airflow temperature is calculated based on the heat dissipation corresponding to the deep mine type. The predicted airflow temperature is evaluated to obtain an evaluation value; Determine whether the evaluated value is greater than a preset threshold; if so, issue an alarm warning. The calculation steps for the predicted airflow temperature in the vertical shaft include: Calculate the heat dissipation of the shaft based on the initial temperature of the shaft and the distance between the initial point and the predicted point. Calculate the airflow air quality and initial point air enthalpy value based on the vertical shaft air parameter indicators; The air enthalpy value at the prediction point is calculated based on the heat dissipation of the vertical shaft. The predicted air humidity and predicted air temperature of the shaft are calculated based on the air mass of the airflow, the air enthalpy values ​​at the initial point and the predicted point. The calculation steps for the predicted point airflow temperature in the underground horizontal roadway include: The total heat dissipation of the horizontal roadway is calculated based on the heat dissipation index of the surrounding rock, the heat dissipation of transported ore, the heat dissipation of wall oxidation, the heat dissipation of mechanical and electrical equipment, the heat dissipation of sudden water inrush, and the heat dissipation of personnel. Calculate the airflow air quality and initial point air enthalpy value based on the air parameter indicators of the horizontal tunnel; The air enthalpy value at the prediction point is calculated based on the total heat dissipation of the horizontal tunnels. The air humidity and air temperature at the prediction point are calculated based on the air mass of the airflow, the air enthalpy at the initial point, and the air enthalpy at the prediction point. The calculation steps for the predicted point airflow temperature at the underground tunneling face include: Based on the heat dissipation index of the underground tunneling face, calculate the heat dissipation of the surrounding rock, the heat dissipation of transporting ore, the heat dissipation of wall oxidation, the heat dissipation of electromechanical equipment, the heat dissipation of local ventilation fans, the heat dissipation of sudden water inrush, and the heat dissipation of personnel to obtain the total heat dissipation of the underground tunneling face; Calculate the air mass and initial air enthalpy value based on the air parameters of the underground tunneling face; The air enthalpy value at the prediction point is calculated based on the total heat dissipation of the underground tunneling face; The air humidity and airflow temperature at the prediction point are calculated based on the air mass of the airflow, the air enthalpy at the initial point, and the air enthalpy at the prediction point.

2. The method for predicting airflow temperature and providing early warning of heat hazards in deep mines according to claim 1, characterized in that, The predicted airflow temperature is evaluated to obtain evaluation values, including: The predicted point data is obtained as the dataset to be evaluated; Based on the characteristics of the dataset to be evaluated, data rules with multi-dimensional parameters are preset, and a score range is preset for each dimension parameter of each data rule; Using the preset dimensional parameter scores and importance weights of the data rules, a weight matrix of the rules for the dataset to be evaluated is constructed. The evaluation value is obtained by calculating the evaluation scores of the dataset to be evaluated separately and then summing the scores of all the data in the dataset to be evaluated in a weighted manner, based on the weight matrix of the rules of the dataset to be evaluated.

Images