Coal mine production core link coupled substance-energy modeling method

Abstract

The invention discloses a coal mine production core link coupled substance-energy modeling method, which comprises the following steps: S1, determining the number of coal mine production core links and the relationship between the links, and classifying the links into continuous links and discontinuous links; s2, building a conventional time sequence relation model of material output and energy consumption of continuous links and discontinuous links; and S3, determining safe operation constraints of the conventional time sequence relation model of the material output and the energy consumption. According to the method, energy consumption and material output conditions of each link of different time sections can be accurately calculated, material-energy double-flow collaborative optimization is realized, model parameters can be adjusted according to different mine geological conditions so as to adapt to production scenes of different coal mines, and accurate production time sequence scheduling of the coal mines is realized.

Description

Technical Field

[0001] This invention belongs to the field of time-series modeling technology for coal mine production processes, specifically involving a material-energy modeling method coupled with core processes in coal mine production. Background Technology

[0002] Currently, the intelligent construction of mines has become a national strategic priority. The coal mining industry faces the dual pressure of improving energy efficiency and ensuring safe production. However, the multi-link coupling characteristics of the production system are complex. There are dynamic disturbances between core production links such as coal mining, ventilation, and drainage. Material flow (coal, gas, water) and energy flow (electricity, waste heat) have different characteristics and properties. The material-energy correlation is close and difficult to characterize with simple linear mathematical formulas.

[0003] If material flow and energy flow are statically separated and modeled separately, ignoring the impact of mining on transportation, ventilation and drainage, it is impossible to accurately quantify the sequential changes of links such as "coal production - gas emission (water inflow) - energy consumption of ventilation fans (underground drainage pumps)", which leads to calculation errors in material output and energy consumption, making it difficult for coal mines to achieve precise production timing scheduling. Summary of the Invention

[0004] The purpose of this invention is to provide a material-energy modeling method that couples the core links of coal mine production. It can accurately calculate the energy consumption and material output of each link at different time sections, realize the synergistic optimization of "material-energy" dual flow, and adjust the model parameters according to different mine geological conditions to adapt to different coal mine production scenarios, enabling coal mines to achieve precise production timing scheduling.

[0005] To achieve the above objectives, this invention provides a material-energy modeling method for coupling core processes in coal mine production, comprising the following steps:

[0006] S1. Determine the number of core links in coal mine production and the relationships between them, and classify the links into continuous links and discontinuous links;

[0007] S2. Establish a conventional time-series model of the relationship between material output and energy consumption in continuous and intermittent processes;

[0008] S3. Define the safety operation constraints of the conventional time-series relationship model between material output and energy consumption.

[0009] As a further aspect of the present invention: the core links of coal mine production include coal mining, belt conveyor, ventilation, underground water inrush chamber and drainage, wherein the coal mining is an intermittent link, and the belt conveyor, ventilation, underground water inrush chamber and drainage are continuous links.

[0010] As a further aspect of the present invention: the timing relationship is based on the coal mining process;

[0011] S2-1, Conventional Time-Series Model of Material Output and Energy Consumption in Intermittent Processes:

[0012]

[0013] Among them, M c (Δt) represents the amount of coal mined per unit production step Δt, in m 3 H c S c These represent the mining height and mining depth of the coal mining machine, in meters (m); v c (t) is the function of the coal mining speed of the coal mining machine as a function of time t, m / Δt;

[0014] P c (Δt)=γ c M c (Δt)

[0015] Among them, P c (Δt) represents the power consumption of the coal mining machine within a unit production step length Δt, in kWh; γ c This is the energy consumption conversion coefficient for the coal mining machine;

[0016] S2-2, Conventional Time-Series Model of Material Output and Energy Consumption in Continuous Processes:

[0017] S2-2-1, Belt Conveying Process:

[0018]

[0019] Where aΔt is the step length of coal mining and transport to the surface; η YS η is the transportation coefficient affected by small underground coal storage bunkers and transportation demand. YS ∈[0,1]; m YS The conveying capacity per unit belt length, in meters. 3 / m;v YS L is the belt speed of the belt conveyor, in m / Δt; YS The total length transported by the belt conveyor is in meters (m).

[0020]

[0021] Among them, P YS (Δt) represents the power consumption of the belt conveyor within a unit production step length Δt, in kWh; T YS Let m be the coal feeding rate of the conveyor. 3 / Δt; θ1, θ2, θ3, and θ4 are constant parameters determined by the structure and composition of the belt conveyor;

[0022] S2-2-2, Ventilation:

[0023]

[0024] Among them, Q TF (Δt) represents the fan airflow within a unit production step length Δt, in meters. 3 ; v is the air volume adjustment coefficient required for coal mining; TF Wind speed, m / Δt; S TF The area of ​​the ventilation shaft is in meters. 2 ;

[0025] c var (Δt)=κ gas Q gas (Δt) / Q TF (Δt) / 100

[0026] Among them, c var (Δt) represents the exhaust gas concentration (%) within a unit production step length Δt; κ gas Q is the gas emission coefficient; gas (Δt) represents the absolute gas emission rate per unit production step length Δt, in m 3 ;

[0027] P TF (Δt)=Q TF (Δt)p f / η TF

[0028] Among them, P TF (Δt) represents the power consumption of the ventilation fan within a unit production step length Δt, in kWh; p f The total air pressure of the ventilation fan is expressed in Pa; η TF This is the energy conversion coefficient of the ventilation fan;

[0029]

[0030] Among them, H var (Δt) represents the heat energy that can be extracted from the exhaust wind within a unit production step length Δt, in kWh; ρ air air density, kg / m³ 3 h1 and h2 are the specific heat capacities of the exhaust air before and after heat extraction, respectively, in kJ / kg; T air air temperature, °C; d air Moisture content of air, kg / (kg dry air); L is the ventilation step length of air from the compressor port to the outlet. TF The ventilation distance from the air compressor outlet to the air outlet, in meters (m).

[0031] S2-2-3, Underground Water Inflow Chamber:

[0032]

[0033] Where kΔt is the step length of the water inflow from the tunnel into the water tank; V SC The water storage capacity of the underground water inlet chamber is m. 3 ; V is the coefficient of variation in water inflow caused by coal mining; in The volume of water flowing into the reservoir is m. 3 V out To discharge water from the reservoir, m 3 ;

[0034] S2-2-4, Drainage process:

[0035]

[0036] Among them, V PUMP The volume of water discharged by the drainage pump is expressed in m. 3 ; H represents the step length of the water flow from the reservoir to the ground. PUMP The head of the drainage pump is expressed in meters (m).

[0037]

[0038] Among them, P PUMP (Δt) represents the power consumption of the drainage pump within a unit production step length Δt, in kWh; p PUMP Specific gravity of the medium, kg / m³ 3 g is the acceleration due to gravity; η PUMP The energy consumption coefficient of the drainage pump;

[0039]

[0040] Among them, H PUMP (Δt) represents the usable heat of inrush water within a unit production step length Δt, in kWh; ρ PUMP T is the residual heat coefficient after water inrush treatment. PU1 T PU2 The temperatures before and after water extraction for heat extraction are ℃, respectively.

[0041] As a further aspect of the present invention: the air volume adjustment coefficient required for coal mining. Coefficient of variation of water inflow caused by coal mining The numerical prediction method is as follows:

[0042] During coal mining intermittent periods The process of coal mining is a non-linear change.

[0043] During the intermittent period of coal mining, in summer Transitional season winter The process of coal mining is a non-linear change.

[0044] The steps for establishing a GM(1,1) model to predict the coefficient variation trend using the grayscale GM(1,1) algorithm are as follows:

[0045] ① Let x (0) =(x (0) (1),x (0) (2),x (0) (3),...,x (0) (n) represents the historical data sequence of coefficients, where

[0046] x (0) (k)≥0,k=1,2,...,n;

[0047] ②The generated cumulative sequence is x (1) =(x (1) (1),x (1) (2),x (1) (3),...,x (1) (n)), where

[0048]

[0049] ③ Generate the nearest neighbor mean sequence z (1) =(z (1) (1),z (1) (2),z (1) (3),...,z (1) (n)), where

[0050]

[0051] ④ The constructed grey differential equation model is as follows:

[0052] x (0) (k)+az (1) (k)=b

[0053] The whitening model of the GM(1,1) model is as follows:

[0054]

[0055] Where the parameter vector α = [a, b] T The least squares estimation formula can be used to confirm that α = (B T B) -1 B T Y, where Y and B are respectively

[0056]

[0057] ⑤ Finally, the solution to the mean difference equation can be obtained, which is also the predicted coefficient value:

[0058]

[0059] As a further aspect of the present invention, the safe operation constraints include:

[0060] S3-1. Coal mine production operates on a one-day production cycle, with single start-up and shutdown within normal production time. Production start-up and shutdown constraints are as follows:

[0061]

[0062] in, Let be the start signal for the i-th intermittent production stage, and let be a 0-1 variable, where 0 represents a non-start signal and 1 represents a start signal.

[0063] S3-2. There is a constraint on the need for continuous maintenance during intermittent coal mine production:

[0064]

[0065] Where τΔt is the step size required for continuous maintenance within a single production cycle;

[0066] S3-3, Downhole water inflow chamber constraint:

[0067] 0≤V SC (t)≤0.5V SC，max

[0068] Among them, V SC，max The maximum water storage capacity of the underground water inflow chamber is m. 3 ;

[0069] S3-4. Material constraints include:

[0070] S3-4-1 Consistency constraint between coal mining volume and planned mining volume within a single production cycle:

[0071]

[0072] in, This represents the planned coal mining volume for the current single production cycle.

[0073] S3-4-2, Ventilation requirements and air volume constraints in the well.

[0074] Q TF (Δt)≥η F ·max[Q gas (Δt),Q num (Δt)]

[0075] Among them, Q gas Q numThe required underground ventilation volume (in m³) is calculated based on gas escape and the number of personnel underground. 3 η F To ensure the necessary margin for underground ventilation safety, η F ≥1.2;

[0076] S3-4-3, Safety Constraints on Downhole Gas Concentration:

[0077] c var ≤0.7% S3-4-4, Safety constraints on conveyor capacity:

[0078]

[0079] Where, m YS,max v YS,max These refer to the maximum conveying capacity per unit length and the maximum conveying speed of the belt conveyor, respectively.

[0080] S3-5, Equipment constraints include:

[0081] S3-5-1, Operating power constraints:

[0082] 0≤P i (t)≤P i,max

[0083] Among them, P i (t) represents the operating power of device i at time t, in kW; P i,max The rated operating power of device i;

[0084] S3-5-2, Equipment ramping constraints:

[0085]

[0086] in, Equipment i's ramp-up rate per unit time.

[0087] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0088] Classification modeling enables the categorization and analysis of production processes, and also facilitates the supplementation and modeling of other production processes in coal mines.

[0089] Considering the time lag characteristics of materials and energy in the production process, we quantify the sequential relationship between production processes and establish a unified material-energy time series model with coal mining as the core.

[0090] By integrating safety constraints and equipment operating boundaries, it can accurately calculate the energy consumption and material output of each stage at different time sections, realize the synergistic optimization of "material-energy" dual flow, and adjust the model parameters according to different mine geological conditions to adapt to different coal mine production scenarios. Attached Figure Description

[0091] Figure 1 This is a flowchart of the material-energy modeling method coupled to the core links of coal mine production in this invention.

[0092] Figure 2 This is a time sequence diagram of the production processes in this invention. Detailed Implementation

[0093] The invention will now be further described with reference to the accompanying drawings.

[0094] like Figure 1 As shown, a material-energy modeling method coupling core links in coal mine production includes the following steps:

[0095] S1. Determine the number of core links in coal mine production and the relationships between them, and classify the links into continuous links and discontinuous links.

[0096] Intermittent links refer to links that, once started, do not stop during the prescribed routine production process, but do not start during the required production maintenance process; continuous links refer to links that do not have a fixed production cycle, can be started and stopped at any time according to production needs, and involve the real-time flow and transmission of materials and energy during the production process.

[0097] Furthermore, the core links in coal mine production include coal mining, belt conveyor, ventilation, underground water inrush containment, and drainage. Among these, coal mining is an intermittent link, while belt conveyor, ventilation, underground water inrush containment, and drainage are continuous links.

[0098] The relationships between the links are as follows:

[0099] S1-1, Material Relationships:

[0100] S1-1-1. Taking the coal mining process as the core, the amount of coal mined underground will affect the amount of coal transported by belt conveyor, the amount of gas emitted during mining, and the amount of water inflow from the mine.

[0101] S1-1-2. The amount of gas emitted during mining will affect the gas concentration in underground roadways, which in turn will affect the required air volume at the mine's intake and the gas content in the exhaust air at the mine's outlet.

[0102] S1-1-3. The amount of water flowing out of the mine will affect the amount of water stored in the underground water storage tank, and the safe upper limit of the water storage will further affect the amount of water discharged in the drainage process.

[0103] S1-2, Energy Relationship:

[0104] S1-2-1, The amount of coal mined underground directly reflects the power demand of the coal mining machine;

[0105] S1-2-2 The amount of coal transported in the belt conveyor process directly reflects the power demand of the belt conveyor.

[0106] S1-2-3. The air demand of the mine directly reflects the power demand of the ventilation fan, as well as the potential low-quality heat energy that can be utilized in the exhaust air at the air outlet.

[0107] S1-2-4. The drainage volume in the drainage process directly reflects the power demand of the drainage pump and the potential usable low-quality thermal energy of the discharged mine water.

[0108] S2. Establish a conventional time-series model of the material output and energy consumption relationship in continuous and intermittent processes.

[0109] Furthermore, the temporal sequence is referenced to the coal mining stage, and the temporal sequence between production stages is as follows: Figure 2 As shown;

[0110] S2-1, Conventional Time-Series Model of Material Output and Energy Consumption in Intermittent Processes:

[0111]

[0112] Among them, M c (Δt) represents the amount of coal mined per unit production step Δt, in m 3 H c S c These represent the mining height and mining depth of the coal mining machine, respectively, and are generally fixed values ​​in meters (m); v c (t) is the function of the coal mining speed of the coal mining machine as a function of time t, m / Δt;

[0113] P c (Δt)=γ c M c (Δt)

[0114] Among them, P c (Δt) represents the power consumption of the coal mining machine within a unit production step length Δt, in kWh; γ c This is the energy consumption conversion coefficient for the coal mining machine;

[0115] S2-2, Conventional Time-Series Model of Material Output and Energy Consumption in Continuous Processes:

[0116] S2-2-1, Belt Conveying Process:

[0117]

[0118] Where aΔt is the step length of coal mining and transport to the surface; η YS η is the transportation coefficient affected by small underground coal storage bunkers and transportation demand. YS ∈[0,1]; m YSThe conveying capacity per unit belt length, in meters. 3 / m;v YS L is the belt speed of the belt conveyor, in m / Δt; YS The total length transported by the belt conveyor is in meters (m).

[0119]

[0120] Among them, P YS (Δt) represents the power consumption of the belt conveyor within a unit production step length Δt, in kWh; T YS Let m be the coal feeding rate of the conveyor. 3 / Δt; θ1, θ2, θ3, and θ4 are constant parameters determined by the structure and composition of the belt conveyor;

[0121] S2-2-2, Ventilation:

[0122]

[0123] Among them, Q TF (Δt) represents the fan airflow within a unit production step length Δt, in meters. 3 ; v is the air volume adjustment coefficient required for coal mining; TF Wind speed, m / Δt; S TF The area of ​​the ventilation shaft is in meters. 2 ;

[0124] c var (Δt)=κ gas Q gas (Δt) / Q TF (Δt) / 100

[0125] Among them, c var (Δt) represents the exhaust gas concentration (%) within a unit production step length Δt; κ gas Q is the gas emission coefficient; gas (Δt) represents the absolute gas emission rate per unit production step length Δt, in m 3 ;

[0126] P TF (Δt)=Q TF (Δt)p f / η TF

[0127] Among them, P TF (Δt) represents the power consumption of the ventilation fan within a unit production step length Δt, in kWh; p f The total air pressure of the ventilation fan is expressed in Pa; η TF This is the energy conversion coefficient of the ventilation fan;

[0128]

[0129] Among them, H var (Δt) represents the heat energy that can be extracted from the exhaust wind within a unit production step length Δt, in kWh; ρ air air density, kg / m³ 3 h1 and h2 are the specific heat capacities of the exhaust air before and after heat extraction, respectively, in kJ / kg; T air air temperature, °C; d air Moisture content of air, kg / (kg dry air); L is the ventilation step length of air from the compressor port to the outlet. TF The ventilation distance from the air compressor outlet to the air outlet, in meters (m).

[0130] S2-2-3, Underground Water Inflow Chamber:

[0131]

[0132] Where kΔt is the step length of the water inflow from the tunnel into the water tank; V SC The water storage capacity of the underground water inlet chamber is m. 3 ; V is the coefficient of variation in water inflow caused by coal mining; in The volume of water flowing into the reservoir is m. 3 V out To discharge water from the reservoir, m 3 ;

[0133] S2-2-4, Drainage process:

[0134]

[0135] Among them, V PUMP The volume of water discharged by the drainage pump is expressed in m. 3 ; H represents the step length of the water flow from the reservoir to the ground. PUMP The head of the drainage pump is expressed in meters (m).

[0136]

[0137] Among them, P PUMP (Δt) represents the power consumption of the drainage pump within a unit production step length Δt, in kWh; p PUMP Specific gravity of the medium, kg / m³ 3 g is the acceleration due to gravity; η PUMP The energy consumption coefficient of the drainage pump;

[0138]

[0139] Among them, H PUMP (Δt) represents the usable heat of inrush water within a unit production step length Δt, in kWh; ρPUMP T is the residual heat coefficient after water inrush treatment. PU1 T PU2 The temperatures before and after water extraction for heat extraction are ℃, respectively.

[0140] Furthermore, the air volume adjustment coefficient required for coal mining. Coefficient of variation of water inflow caused by coal mining The numerical prediction method is as follows:

[0141] The ventilation volume adjustment coefficient required for coal mining specifically refers to the coefficient that needs to be adjusted due to factors such as underground gas emissions, the number of workers, and the number of working faces. This adjustment is necessary during coal mining downtime. The process of coal mining is a non-linear change.

[0142] The coefficient of variation in water inflow caused by coal mining specifically refers to the coefficient that affects the change in underground water inflow due to factors such as changes in water quality caused by mining and changes in seepage volume caused by seasonal changes. During periods of interruption in coal mining, such as in summer... Transitional season winter The process of coal mining is a non-linear change.

[0143] To simplify the effects of nonlinearity, the gray-scale GM(1,1) algorithm is used to predict the trend of coefficient changes. The steps to establish the GM(1,1) model are as follows:

[0144] ① Let x (0) =(x (0) (1),x (0) (2),x (0) (3),...,x (0) (n) represents the historical data sequence of coefficients, where

[0145] x (0) (k)≥0,k=1,2,...,n;

[0146] ②The generated cumulative sequence is x (1) =(x (1) (1),x (1) (2),x (1) (3),...,x (1) (n)), where

[0147]

[0148] ③ Generate the nearest neighbor mean sequence z (1) =(z (1) (1),z (1) (2),z (1) (3),...,z (1) (n)), where

[0149]

[0150] ④ The constructed grey differential equation model is as follows:

[0151] x (0) (k)+az (1) (k)=b

[0152] The whitening model of the GM(1,1) model is as follows:

[0153]

[0154] Where the parameter vector α = [a, b] T The least squares estimation formula can be used to confirm that α = (B T B) -1 B T Y, where Y and B are respectively:

[0155]

[0156] ⑤ Finally, the solution to the mean difference equation can be obtained, which is also the predicted coefficient value:

[0157]

[0158] In step ①, the historical sequence consists of the previous four kΔt steps of the current stage. of The value is composed of n=4.

[0159] S3. Define the safety operation constraints of the conventional time-series relationship model between material output and energy consumption.

[0160] Furthermore, safe operation constraints include:

[0161] S3-1. Coal mine production operates on a one-day production cycle, with single start-up and shutdown within normal production time. Production start-up and shutdown constraints are as follows:

[0162]

[0163] in, Let be the start signal for the i-th intermittent production stage, and let be a 0-1 variable, where 0 represents a non-start signal and 1 represents a start signal.

[0164] S3-2. There is a constraint on the need for continuous maintenance during intermittent coal mine production:

[0165]

[0166] Where τΔt is the step size required for continuous maintenance within a single production cycle;

[0167] S3-3, Downhole water inflow chamber constraint:

[0168] 0≤V SC (t)≤0.5V SC，max

[0169] Among them, V SC，max The maximum water storage capacity of the underground water inflow chamber is m. 3 ;

[0170] S3-4. Material constraints include:

[0171] S3-4-1 Consistency constraint between coal mining volume and planned mining volume within a single production cycle:

[0172]

[0173] in, This represents the planned coal mining volume for the current single production cycle.

[0174] S3-4-2, Ventilation requirements and air volume constraints in the well.

[0175] Q TF (Δt)≥η F ·max[Q gas (Δt),Q num (Δt)]

[0176] Among them, Q gas Q num The required underground ventilation volume (in m³) is calculated based on gas escape and the number of personnel underground. 3 η F To ensure the necessary margin for underground ventilation safety, η F ≥1.2;

[0177] S3-4-3, Safety Constraints on Downhole Gas Concentration:

[0178] c var ≤0.7% S3-4-4, Safety constraints on conveyor capacity:

[0179]

[0180] Where, m YS,max v YS,max These refer to the maximum conveying capacity per unit length and the maximum conveying speed of the belt conveyor, respectively.

[0181] S3-5, Equipment constraints include:

[0182] S3-5-1, Operating power constraints:

[0183] 0≤P i (t)≤P i,max

[0184] Among them, P i (t) represents the operating power of device i at time t, in kW; P i,max The rated operating power of device i;

[0185] S3-5-2, Equipment ramping constraints:

[0186]

[0187] in, Equipment i's ramp-up rate per unit time.

Claims

1. A material-energy modeling method for coupling core processes in coal mine production, characterized in that, Includes the following steps: S1. Determine the number of core links in coal mine production and the relationships between them, and classify the links into continuous links and discontinuous links; S2. Establish a conventional time-series model of the relationship between material output and energy consumption in continuous and intermittent processes; S3. Define the safety operation constraints of the conventional time-series relationship model between material output and energy consumption.

2. The material-energy modeling method for coupling core links in coal mine production according to claim 1, characterized in that, The core links in coal mine production include coal mining, belt conveyor, ventilation, underground water inrush containment, and drainage. Among these, coal mining is an intermittent process, while belt conveyor, ventilation, underground water inrush containment, and drainage are continuous processes.

3. The material-energy modeling method for coupling core links in coal mine production according to claim 2, characterized in that, The temporal sequence is based on the coal mining process; S2-1, Conventional Time-Series Model of Material Output and Energy Consumption in Intermittent Processes: wherein M c (Δt) is the amount of coal mining in a unit production step Δt, m 3 ; H c , S c are the mining height and mining depth of the coal mining machine, respectively, m; v c (t) is the mining speed change function of the coal mining machine with time t, m / Δt; P c (Δt) = γ c M c (Δt) P = (Δt) * γ c (Δt) is the power consumption of the coal mining machine in the unit production step length Δt, kWh; γ c is the energy consumption conversion coefficient of the coal mining machine; S2-2, Conventional Time-Series Model of Material Output and Energy Consumption in Continuous Processes: S2-2-1, Belt Conveying Process: wherein aΔt is the step length of coal mining and transportation to the ground; η YS is the transportation coefficient affected by the small coal storage bin and transportation demand in the underground, η YS ∈[0, 1]; m YS is the unit belt length transportation capacity, m 3 / m; v YS is the belt conveyor belt speed, m / Δt; L YS is the total length of the belt conveyor, m; wherein P YS (At) is the power consumption of the belt conveyor in a unit production step At, kWh; T YS is the coal feeding rate of the conveyor, m 3 / At; θ1, θ2, θ3, θ4 are constant parameters determined by the structure and composition of the belt conveyor. S2-2-2, Ventilation: Among them, Q TF (Δt) represents the fan airflow within a unit production step length Δt, in meters. 3 ; v is the air volume adjustment coefficient required for coal mining; TF Wind speed, m / Δt; S TF The area of ​​the ventilation shaft is in meters. 2 ; c var (Δt) = κ gas Q gas (Δt) / Q TF (Δt) / 100 wherein c var (Δt) is the concentration of the methane gas, %; κ gas is the coefficient of the methane gas diffusion; Q gas (Δt) is the absolute diffusion amount of the methane gas, m 3 ; P TF (Δt) = Q TF (Δt)p f / η TF P = (P + P ) / 2 TF (Δt) is the power consumption of the ventilator in the unit production step length Δt, kWh; p f is the total wind pressure of the ventilator, Pa; η TF is the energy consumption conversion coefficient of the ventilator; Among them, H var (Δt) represents the heat energy that can be extracted from the exhaust wind within a unit production step length Δt, in kWh; ρ air air density, kg / m³ 3 h1 and h2 are the specific heat capacities of the exhaust air before and after heat extraction, respectively, in kJ / kg; T air air temperature, °C; d air Moisture content of air, kg / (kg dry air); L is the ventilation step length of air from the compressor port to the outlet. TF The ventilation distance from the air compressor outlet to the air outlet, in meters (m). S2-2-3, Underground Water Inflow Chamber: Where kΔt is the step length of the water inflow from the tunnel into the water tank; V SC The water storage capacity of the underground water inlet chamber is m. 3 ; V is the coefficient of variation in water inflow caused by coal mining; in The volume of water flowing into the reservoir is m. 3 V out To discharge water from the reservoir, m 3 ; S2-2-4, Drainage process: Among them, V PUMP The volume of water discharged by the drainage pump is expressed in m. 3 ; H represents the step length of the water flow from the reservoir to the ground. PUMP The head of the drainage pump is expressed in meters (m). P = (Δt) * (Q) * (g) * (η) / (1000) wherein P PUMP is the power consumption of the drainage pump in kWh; Q PUMP is the flow rate of the drainage pump in m 3 ; g is the acceleration due to gravity; and η PUMP is the energy consumption coefficient of the drainage pump. Wherein, H PUMP (Δt) is the available heat of the gushing water in the unit production step length Δt, kWh; ρ PUMP is the heat residual coefficient after gushing water treatment; T PU1 , T PU2 are the temperatures before and after the gushing water heat extraction, respectively, ℃.

4. The material-energy modeling method for coupling core links in coal mine production according to claim 3, characterized in that, Air volume adjustment coefficient required for coal mining Coefficient of variation of water inflow caused by coal mining The numerical prediction method is as follows: During coal mining intermittent periods The process of coal mining is a non-linear change. During the intermittent period of coal mining, in summer Transitional season winter The process of coal mining is a non-linear change. The steps for establishing a GM(1,1) model to predict the coefficient variation trend using the grayscale GM(1,1) algorithm are as follows: Let x (0) = (x (0) (1), x (0) (2), x (0) (3),..., x (0) (n)) be the coefficient history data sequence, where x (0) (k) > 0, k = 1, 2,..., n; (ii) the generated cumulative sequence is x (1) = (x (1) (1), x (1) (2), x (1) (3),..., x (1) (n)), where iii. generating a sequence of means z (1) = (z (1) (1), z (1) (2), z (1) (3),..., z (1) (n)), where ④ The constructed grey differential equation model is as follows: x (0) (k) + az (1) (k) = b The whitening model of the GM(1,1) model is as follows: where the parameter vector a = [a, b] T The least square method can be used to estimate the formula to confirm that a = (B T B) -1 B T Y, where Y, B are ⑤ Finally, the solution to the mean difference equation can be obtained, which is also the predicted coefficient value:

5. The material-energy modeling method for coupling core links in coal mine production according to claim 3, characterized in that, Safe operation constraints include: S3-1. Coal mine production operates on a one-day production cycle, with single start-up and shutdown within normal production time. Production start-up and shutdown constraints are as follows: in, Let be the start signal for the i-th intermittent production stage, and let be a 0-1 variable, where 0 represents a non-start signal and 1 represents a start signal. S3-2. There is a constraint on the need for continuous maintenance during intermittent coal mine production: Where τΔt is the step size required for continuous maintenance within a single production cycle; S3-3, Downhole water inflow chamber constraint: 0≤V SC (t)≤0.5V SC，max Among them, V SC，max The maximum water storage capacity of the underground water inflow chamber is m. 3 ; S3-4. Material constraints include: S3-4-1 Consistency constraint between coal mining volume and planned mining volume within a single production cycle: in, This represents the planned coal mining volume for the current single production cycle. S3-4-2, Ventilation requirements and air volume constraints in the well. Q TF (Δt)≥η F ·max[Q gas (Δt),Q num (Δt)] Among them, Q gas Q num The required underground ventilation volume (in m³) is calculated based on gas escape and the number of personnel underground. 3 η F To ensure the necessary margin for underground ventilation safety, η F ≥1.2; S3-4-3, Safety Constraints on Downhole Gas Concentration: c var ≤0.7％ S3-4-4, Safety constraints on the carrying capacity of belt conveyors: Where, m YS,max v YS,max These refer to the maximum conveying capacity per unit length and the maximum conveying speed of the belt conveyor, respectively. S3-5, Equipment constraints include: S3-5-1, Operating power constraints: 0≤P i (t)≤P i,max Among them, P i (t) represents the operating power of device i at time t, in kW; P i,max The rated operating power of device i; S3-5-2, Equipment ramping constraints: in, Equipment i's ramp-up rate per unit time.

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